bluuebunny/crossref_metadata_2025_split huggingface dataset:
Three Successful Pregnancies in a Patient With Glycogen Storage Disease Type 0
Authors: Grünert Sarah Catharina , Rosenbaum-Fabian Stefanie , Hannibal Luciana , Schumann Anke , Spiekerkötter Ute 
Published: August 2020

Abstract
BackgroundGlycogen storage disease type 0 (GSD 0) is a rare inborn error of metabolism due to deficiency of the enzyme glycogen synthase (EC 2.4.1.11). Patients with this disorder are unable to store glucose as glycogen in the liver. GSD 0 is therefore characterized by ketotic fasting hypoglycemia in combination with postprandial hyperglycemia and hyperlactatemia. So far, only one pregnancy has been described in a woman with GSD 0. Case presentationWe herein report a 32 year-old patient GSD 0 with three successful pregnancies. The diagnosis of GSD 0 was made in early childhood due to characteristic symptoms. The patient had two healthy children at the time of her first visit in our metabolic centre. The diet was optimised prior to her third pregnancy with a protein-rich diet including cornstarch and protein supplements. Pregnancy was confirmed at week 6 of gestation. Dietary management was difficult during pregnancy, especially in the first trimester due to severe nausea. Labour was induced at 37 weeks of gestation due to cholestasis of pregnancy, and the patient delivered a healthy baby girl. Perinatally, the mother received a high glucose infusion to stabilize blood glucose levels. The neonate also required a glucose infusion postnatally because of impaired glucose homeostasis. Similar to diabetic fetopathy, recurrent maternal hyperglycemia may result in hyperinsulinism of the child and trigger neonatal hypoglycemia.ConclusionsAll four pregnancies in women with GSD 0 described to date occurred with minor complications and resulted in healthy offspring, which underpins the good prognosis and rather benign character of this rare metabolic disease. Careful monitoring during pregnancy and delivery is, however, necessary to minimize the risk of recurrent hypoglycemia for both mother and child.
Mating Behaviour and Fertility of Layer Breeders in Natural Mating Colony Cages: LED Light Environmental Effects
Authors: Shi Haipeng , Li Baoming , Tong Qin , Zheng Weichao , Zeng Dan 
Published: August 2020

Abstract
Background: Natural mating colony cages for parent-stock layer breeders, instead of conventional cages with artificial insemination, have been widely adopted by many commercial farms in China. However, the fertility rate of this system is unstable and varies greatly among different cage tiers. We speculated that the difference in fertility rate might be caused by uneven illumination because vision appears to play a central role in hens’ behaviour, including mating, which is an important factor that affects the reproductive performance of hens. The objectives of this study was to investigate the effects of 4 LED light colours (white: WL, red: RL, yellow-orange: YO, blue-green: BG) with 2 light intensities (10 lux, 25 lux) in each colour on mating frequency and fertility for layer breeders in natural mating colony cages. Results: A total of 32 identical cages were involved in the 8 treatments, with 4 replicates for each treatment and 5 males and 45 females per cage. The results showed significant effects of age, light colour, light intensity and colour-intensity interaction on the frequency of mating behaviour, integrity of matings and fertility. Overall, flocks treated with WL and RL and a higher light intensity in natural mating colony cages during the laying period showed a more frequently mating behaviour, a large proportion of relatively complete matings and a higher fertility. All components of mating behaviour and fertility declined from 30 through 40 to 50 wks of age, but no significant correlation was found between fertility and mating behaviour. Conclusions: In summary, the results of this study illustrate that different LED light colour and light intensity influenced the mating behaviour and fertility of layer breeders. WL and RL and a higher light intensity could increase the frequency of mating behaviour, the proportion of complete matings and fertility. No significant correlation was found between fertility and mating behaviour. Such knowledge can help to understand mating behaviour in natural mating colony cages and provide a basis for the optimization of light environment regulation.
SARS-CoV-2 cellular immune response in uninfected health care workers with prolonged and close exposure to COVID-19 patients
Authors: Vallejo Alejandro , Vizcarra Pilar , Quereda Carmen , Moreno Ana , Casado Jose L 
Published: August 2020

Abstract
Health care workers (HCW) are at an increased risk since they are directly exposed to SARS-CoV-2 infected patients, nevertheless, some remained without the development of anti-SARS-CoV-2 antibodies, suggesting lesser susceptibility to infection1-5. This study aimed to ascertain a potential specific cellular immune response to SARS-CoV-2 in these largely exposed HCWs.In this cross-sectional, case-control study, we analyzed 39 exposed uninfected HCWs and 17 convalescent HCWs. Cellular immune response was evaluated after SARS-CoV-2 stimulation with peptide pools (proteins S, M, and N), using bead-based multiplex assay (12 cytokines).Overall, 94.8% of uninfected HCWs had some degree of specific cellular response to SARS-CoV-2 structural proteins that could be classified, according to the number of cytokine production, as strong (61.5%), partial (33.3%), and weak/no response (5.1%). Strong responders showed a higher anti-inflammatory cytokine production (IL5 and IL10, p<0.001 and 0.002, respectively), and similar (IFN-γ and TNF-α, p=0.435 and 0.532, respectively) or higher (IL12, p=0.021) pro-inflammatory production compared to convalescents, resulted in a predominantly Th2 response. This study demonstrated a consistent and polyfunctional immune cellular response after stimulation with SARS-CoV-2 peptides in extensively exposed individuals that should be considered to establish the infection susceptibility, the impact in herd immunity, and the risk of relapses.
Research on the decision-making of flood prevention emergency plans during reservoir construction based on generalized intuitionistic fuzzy soft sets and TOPSIS
Authors: Wu Han , Wang Junwu , Feng Jingtao , Liu Denghui , Liu Sen 
Published: August 2020

Abstract
Reservoir engineering is of great significance for the reduction of regional flood disasters and ensuring the sustainable development of agriculture. This paper proposed a decision-making model based on generalized intuitionistic fuzzy soft sets and TOPSIS. First, an evaluation index system was comprehensively identified and constructed. Then, generalized intuitionistic fuzzy soft sets were used to describe the index attribute values of emergency plans to fully reflect the certainty, uncertainty, and hesitancy of indexes, and their weights were calculated by Fuzzy Ordered Weighted Averaging (FOWA) to adequately consider the ambiguity of experts' judgment. Finally, the TOPSIS method was extended via the generalized intuitionistic fuzzy soft sets to the sequencing of emergency plans. In addition, the Wangjiazhou Reservoir Project in China was selected as a case study. The case study demonstrated that full use of emergency materials and personnel was the most important factor, and the plan of the overflow rock-fill dam was the optimal flood prevention emergency plan. Compared with the classical TOPSIS, the new model proposed in this paper was found to have improved feasibility and effectiveness, and its evaluation results were more objective and reasonable. Therefore, the proposed method could provide both theoretical and practical reference.
Screening of Hub Gene Targets for Lung Cancer via Microarray Data
Authors: Su Chang , Liu Wen-Xiu , Wu Li-Sha , Dong Tian-Jian , Liu Jun-Feng 
Published: August 2020

Background:
Lung cancer is one of the malignancies exhibiting the fastest increase in
morbidity and mortality, but the cause is not clearly understood. The goal of this investigation was
to screen and identify relevant biomarkers of lung cancer.

Methods:
Publicly available lung cancer data sets, including GSE40275 and GSE134381, were
obtained from the GEO database. The repeatability test for data was done by principal component
analysis (PCA), and a GEO2R was performed to screen differentially expressed genes (DEGs),
which were all subjected to enrichment analysis. Protein-protein interactions (PPIs), and the
significant module and hub genes were identified via Cytoscape. Expression and correlation
analysis of hub genes was done, and an overall survival analysis of lung cancer was performed. A
receiver operating characteristic (ROC) curve analysis was performed to test the sensitivity and
specificity of the identified hub genes for diagnosing lung cancer.

Results:
The repeatability of the two datasets was good and 115 DEGs and 10 hub genes were
identified. Functional analysis revealed that these DEGs were associated with cell adhesion, the
extracellular matrix, and calcium ion binding. The DEGs were mainly involved with ECM-receptor
interaction, ABC transporters, cell-adhesion molecules, and the p53 signaling pathway. Ten genes
including COL1A2, POSTN, DSG2, CDKN2A, COL1A1, KRT19, SLC2A1, SERPINB5, DSC3, and
SPP1 were identified as hub genes through module analysis in the PPI network. Lung cancer patients
with high expression of COL1A2, POSTN, DSG2, CDKN2A, COL1A1, SLC2A1, SERPINB5, and
SPP1 had poorer overall survival times than those with low expression (p #60;0.05). The CTD database
showed that 10 hub genes were closely related to lung cancer. Expression of POSTN, DSG2,
CDKN2A, COL1A1, SLC2A1, SERPINB5, and SPP1 was also associated with a diagnosis of lung
cancer (p#60;0.05). ROC analysis showed that SPP1 (AUC = 0.940, p = 0.000*, 95%CI = 0.930-0.973,
ODT = 7.004), SLC2A1 (AUC = 0.889, p = 0.000*, 95%CI = 0.791-0.865, ODT = 7.123), CDKN2A
(AUC = 0.730, p = 0.000*, 95%CI = 0.465-1.000, ODT = 6.071) were suitable biomarkers.

Conclusions:
Microarray technology represents an effective method for exploring genetic targets
and molecular mechanisms of lung cancer. In addition, the identification of hub genes of lung
cancer provides novel research insights for the diagnosis and treatment of lung cancer.
Variations in Mineral/heavy Metals Profiling and Preventive Role of Trichomes in Peach Fruits Treated with CaC2
Authors: Irfan Muhammad , Abbas Safdar , Azhar Beenish Jehan , Ahmad Shakeel , Muhammad Hafsah , Ahmed Ishaq , Hussain Javed , Shakeel Samina N. 
Published: August 2020

Background:
Phytonutrients in peach fruits have health-promoting antioxidants against
various chronic diseases. However, there is no extensive data to show the nutritional values of
Local peach cultivars after post-harvest treatments.

Objective:
Mainly this study was objective to determine the effect of calcium carbide on nutritional
value and quality of fruits of Pakistani peach cultivars.

Methods:
The peach fruits were collected from three different peach orchids of KPK and the fruits
were divided into 4 groups while 5th group was collected from a local fruit shop. Each
experimental group was treated with different concentrations of calcium carbide whereas control
group was not treated. The peel and pulp samples were oven dried and ground to fine powder
separately. The elemental compositions were determined using Particle Induced X-ray emission
and Pelletron Tandem Accelerator.

Results:
Sixteen elements were identified in peach fruits and the elements were Al, P, S, Cl, K, Ca,
Cr, Mn, Fe, Co, Ni, Cu, Zn, As, and Se. In peel, the concentration of some elements increased or
decreased after treatment with CaC2 while in pulp the conc. of nearly all detected elements was
increased in treated samples. We found a significantly higher amount of heavy metals traces,
including As, Se, Co, Si, and P in peach fruits treated with CaC2. Interestingly, the presence of
trichomes in peach skin prevents the transfer of these heavy metals deep into the pulp which was
also verified by the elemental profiling of nectarines.

Conclusion:
Conclusively, the artificial ripening with CaC2 changed the nutritional value of peach
fruits that has higher health risks if consume with the peel. According to our best knowledge, this
is the first report that highlights the effects of CaC2 which deteriorate the nutritional value of peach
fruits in Pakistan.
Examining Responsiveness to an Incentive-Based Mobile Health App: Longitudinal Observational Study
Authors: Brower Jacob , LaBarge Monica C , White Lauren , Mitchell Marc S 
Published: August 2020

Background
The Carrot Rewards app was developed as part of a public-private partnership to reward Canadians with loyalty points for downloading the app, referring friends, completing educational health quizzes, and health-related behaviors with long-term objectives of increasing health knowledge and encouraging healthy behaviors. During the first 3 months after program rollout in British Columbia, a number of program design elements were adjusted, creating observed differences between groups of users with respect to the potential impact of program features on user engagement levels.

Objective
This study examines the impact of reducing reward size over time and explored the influence of other program features such as quiz timing, health intervention content, and type of reward program on user engagement with a mobile health (mHealth) app.

Methods
Participants in this longitudinal, nonexperimental observational study included British Columbia citizens who downloaded the app between March and July 2016. A regression methodology was used to examine the impact of changes to several program design features on quiz offer acceptance and engagement with this mHealth app.

Results
Our results, based on the longitudinal app use of 54,917 users (mean age 35, SD 13.2 years; 65.03% [35,647/54,917] female), indicated that the key drivers of the likelihood of continued user engagement, in order of greatest to least impact, were (1) type of rewards earned by users (eg, movies [+355%; P<.001], air travel [+210%; P<.001], and grocery [+140%; P<.001] relative to gas), (2) time delay between early offers (−64%; P<.001), (3) the content of the health intervention (eg, healthy eating [−10%; P<.001] vs exercise [+20%, P<.001] relative to health risk assessments), and (4) changes in the number of points offered. Our results demonstrate that reducing the number of points associated with a particular quiz by 10% only led to a 1% decrease in the likelihood of offer response (P<.001) and that each of the other design features had larger impacts on participant retention than did changes in the number of points.

Conclusions
The results of this study demonstrate that this program, built around the principles of behavioral economics in the form of the ongoing awarding of a small number of reward points instantly following the completion of health interventions, was able to drive significantly higher engagement levels than those demonstrated in previous literature exploring the intersection of mHealth apps and financial incentives. Previous studies have demonstrated the presence of incentive matters to user engagement; however, our results indicate that the number of points offered for these reward point–based health interventions is less important than other program design features such as the type of reward points being offered, the timing of intervention and reward offers, and the content of the health interventions in driving continued engagement by users.
A Combined Digital and Biomarker Diagnostic Aid for Mood Disorders (the Delta Trial): Protocol for an Observational Study
Authors: Olmert Tony , Cooper Jason D , Han Sung Yeon Sarah , Barton-Owen Giles , Farrag Lynn , Bell Emily , Friend Lauren V , Ozcan Sureyya , Rustogi Nitin , Preece Rhian L , Eljasz Pawel , Tomasik Jakub , Cowell Daniel , Bahn Sabine 
Published: August 2020

BackgroundMood disorders affect hundreds of millions of people worldwide, imposing a substantial medical and economic burden. Existing diagnostic methods for mood disorders often result in a delay until accurate diagnosis, exacerbating the challenges of these disorders. Advances in digital tools for psychiatry and understanding the biological basis of mood disorders offer the potential for novel diagnostic methods that facilitate early and accurate diagnosis of patients.ObjectiveThe Delta Trial was launched to develop an algorithm-based diagnostic aid combining symptom data and proteomic biomarkers to reduce the misdiagnosis of bipolar disorder (BD) as a major depressive disorder (MDD) and achieve more accurate and earlier MDD diagnosis.MethodsParticipants for this ethically approved trial were recruited through the internet, mainly through Facebook advertising. Participants were then screened for eligibility, consented to participate, and completed an adaptive digital questionnaire that was designed and created for the trial on a purpose-built digital platform. A subset of these participants was selected to provide dried blood spot (DBS) samples and undertake a World Health Organization World Mental Health Composite International Diagnostic Interview (CIDI). Inclusion and exclusion criteria were chosen to maximize the safety of a trial population that was both relevant to the trial objectives and generalizable. To provide statistical power and validation sets for the primary and secondary objectives, 840 participants were required to complete the digital questionnaire, submit DBS samples, and undertake a CIDI.ResultsThe Delta Trial is now complete. More than 3200 participants completed the digital questionnaire, 924 of whom also submitted DBS samples and a CIDI, whereas a total of 1780 participants completed a 6-month follow-up questionnaire and 1542 completed a 12-month follow-up questionnaire. The analysis of the trial data is now underway.ConclusionsIf a diagnostic aid is able to improve the diagnosis of BD and MDD, it may enable earlier treatment for patients with mood disorders.International Registered Report Identifier (IRRID)DERR1-10.2196/18453
Rapid Implementation and Innovative Applications of a Virtual Intensive Care Unit During the COVID-19 Pandemic: Case Study
Authors: Dhala Atiya , Sasangohar Farzan , Kash Bita , Ahmadi Nima , Masud Faisal 
Published: August 2020

Background
The COVID-19 pandemic has necessitated a rapid increase of space in highly infectious disease intensive care units (ICUs). At Houston Methodist Hospital (HMH), a virtual intensive care unit (vICU) was used amid the COVID-19 outbreak.

Objective
The aim of this paper was to detail the novel adaptations and rapid expansion of the vICU that were applied to achieve patient-centric solutions while protecting staff and patients’ families during the pandemic.

Methods
The planned vICU implementation was redirected to meet the emerging needs of conversion of COVID-19 ICUs, including alterations to staged rollout timing, virtual and in-person staffing, and scope of application. With the majority of the hospital critical care physician workforce redirected to rapidly expanded COVID-19 ICUs, the non–COVID-19 ICUs were managed by cardiovascular surgeons, cardiologists, neurosurgeons, and acute care surgeons. HMH expanded the vICU program to fill the newly depleted critical care expertise in the non–COVID-19 units to provide urgent, emergent, and code blue support to all ICUs.

Results
Virtual family visitation via the Consultant Bridge application, palliative care delivery, and specialist consultation for patients with COVID-19 exemplify the successful adaptation of the vICU implementation. Patients with COVID-19, who were isolated and separated from their families to prevent the spread of infection, were able to virtually see and hear their loved ones, which bolstered the mental and emotional status of those patients. Many families expressed gratitude for the ability to see and speak with their loved ones. The vICU also protected medical staff and specialists assigned to COVID-19 units, reducing exposure and conserving personal protective equipment.

Conclusions
Telecritical care has been established as an advantageous mechanism for the delivery of critical care expertise during the expedited rollout of the vICU at Houston Methodist Hospital. Overall responses from patients, families, and physicians are in favor of continued vICU care; however, further research is required to examine the impact of innovative applications of telecritical care in the treatment of critically ill patients.
Gaps in Team Communication About Service Statistics Among Health Extension Workers in Ethiopia: Secondary Data Analysis
Authors: Lee Seohyun , Kim Eunji , Desta Tekaligne Birhane 
Published: August 2020

Background
In Ethiopia, health extension workers (HEWs) are deployed across the country by the government to meet public health needs. Team communication is important for effective teamwork, but community health workers in low-resource settings like Ethiopia may face challenges in carrying out team meetings to compile service statistics. This is due to the nature of their outreach activities, which requires extensive travel.

Objective
This study aimed to identify gaps in team communication about service statistics among HEWs in Ethiopia. Considering mobile communication and data collection as tools for bridging these gaps, we examined disparities in access to electricity, which has been identified as one of the major barriers to this approach.

Methods
Data from the most recent Performance Monitoring and Accountability 2020 service delivery point survey were used for our analysis. Logistic regression analysis was performed to identify disparities in team communication on service statistics for family planning, which is a major component of the HEW’s job. Disparities were examined across health facilities with different levels of HEW integration in their staffing structure (ie, no HEWs, at least one HEW, or only HEWs). Additionally, a chi-square test was conducted to examine disparities in access to electricity to explore the potential of mobile communication and data collection integration.

Results
In total, 427 health facilities of four different types (ie, hospitals, health centers, health posts, and health clinics) were included in our analysis. At most health posts (84/95, 88%), only HEWs were employed; none of the health clinics integrated the HEW model into their staffing structure. Among the 84 health posts, the odds of having team meetings on family planning service statistics in the past 12 months were 0.48 times the odds of those without HEWs (P=.02). No statistically significant differences were found between HEW-only facilities and facilities with at least one HEW. Most health facilities (69/83, 83.13%) with HEWs as the only staff had no electricity at the time of the survey while 71.25% (57/80) had intermittent access (ie, service disruption lasting 2 or more hours that day). There were statistically significant differences in electricity access among health facilities with different levels of HEW integration (P<.001).

Conclusions
Facilities employing only HEWs were less likely to have regular team meetings to discuss service statistics. Since their responsibilities involve extensive outreach activities, travel, and paper-based recordkeeping, empowering HEWs with mobile communication and data collection can be a workable solution. The empirical evidence regarding disparities in electricity access also supports the need for and the feasibility of this approach.