bluuebunny/crossref_metadata_2025_split huggingface dataset:
TDD LoRa and Delta Encoding in Low-Power Networks of Environmental Sensor Arrays for Temperature and Deformation Monitoring
Authors: Wielandt Stijn , Uhlemann Sebastian , Fiolleau Sylvain , Dafflon Baptiste 
Published: July 2022

Abstract
Densely distributed sensor networks can revolutionize environmental observations by providing real-time data with an unprecedented spatiotemporal resolution. However, field deployments often pose unique challenges in terms of power provisions and wireless connectivity. We present a framework for wirelessly connected distributed sensor arrays for near-surface temperature and/or deformation monitoring. Our research focuses on a novel time division duplex implementation of the LoRa protocol, enabling collision-free communications and battery powered base stations. In order to minimize transmissions and improve battery life throughout the network, we propose a dedicated delta encoding algorithm that utilizes the spatial and temporal similarity in the acquired data sets. We implemented the developed technologies in a AA battery powered hardware platform that can be used as a wireless data logger or base station, and we conducted an assessment of the power consumption. Without data compression, the projected battery life for a data logger is 4.74 years, and a wireless base stations can last several weeks or months depending on the amount of network traffic. The delta encoding algorithm can further improve this battery life with a factor of up to 3.50. Our results demonstrate the viability of the proposed methods for low-power environmental wireless sensor networks.
External validation of existing dementia prediction models on observational health data
Authors: John Luis H. , Kors Jan A. , Fridgeirsson Egill A. , Reps Jenna M. , Rijnbeek Peter R. 
Published: July 2022

Abstract
BackgroundMany dementia prediction models have been developed, but only few have been externally validated, which hinders clinical uptake and may pose a risk if models are applied to actual patients regardless. Replicating and externally validating a prediction model is a difficult task, where we mostly rely on the completeness of model reporting in a published article. In this study, we aim to externally validate existing dementia prediction models. To that end, we define replicability criteria, review published models, and externally validate three selected models using routinely collected health data from administrative claims and electronic health records.MethodsWe identified dementia prediction models that were developed between 2011 – 2020 and assessed if they could be replicated given a set of external validation criteria. In addition, we replicated three of these models (Walters’ Dementia Risk Score, Mehta’s RxDx-Dementia Risk Index, and Nori’s ADRD dementia prediction model) and externally validated them on a network of six observational health databases from the United States, United Kingdom, Germany and the Netherlands, including the original development databases of the models.ResultsWe reviewed 59 dementia prediction models. All models reported the prediction method, development database, and target and outcome definitions. Less frequently reported by these 59 prediction models were predictor definitions (46 models) including the time window in which a predictor is assessed (21 models), predictor coefficients (19 models), and the time-at-risk (39 models). The replicated model by Walters (development c-statistic: 0.84) showed moderate transportability (0.67 – 0.76 c-statistic). The Mehta model (development c-statistic: 0.81 ) transported well to some of the external databases (0.69 – 0.79 c-statistic). The Nori model (development AUROC: 0.69) transported well (0.62 – 0.68 AUROC), but performed modestly overall. Recalibration showed improvements for the Walters and Nori models, while recalibration could not be assessed for the Mehta model due to unreported baseline hazard.ConclusionWe observed that reporting is mostly insufficient to fully replicate and externally validate published dementia prediction models, and therefore, it is uncertain how well these models would work in other clinical settings. We emphasise the importance of following established guidelines for reporting clinical prediction model. We recommend that reporting should be more explicit and have external validation in mind if the model is meant to be applied in different settings.
Adaptability and Learning Intraprofessional Collaboration of Residents during the COVID-19 Pandemic
Authors: Bus Charlotte L. , Gulden Rozemarijn van der , Bolk Marieke H.H. , de Graaf Jacqueline , Hurk Marianne M. van den , Haan Nynke D. Scherpbier-de , Fluit Cornelia R.M.G. , Kuijer-Siebelink Wietske , Looman Natasja 
Published: July 2022

Abstract
Context
The COVID-19 pandemic created a worldwide public health emergency, in which hospitals created new COVID departments and doctors from different disciplines had to work together. In the Netherlands, a large proportion of doctors in these departments were residents. With knowledge of the disease developing only gradually, the influx of COVID-19 patients called for adaptability, innovative work behavior, and intraprofessional collaboration (intraPC) between residents and between residents and medical specialists.
Research goal
This study investigates how the delivery of COVID-19 care in hospital settings affected the adaptability and learning intraPC of residents.
Methods
Sixteen semi-structured interviews were conducted with residents and medical specialists from various disciplines who worked at a COVID department or Intensive Care Unit (ICU) during the COVID pandemic in the Netherlands, focusing on adaptability and intraPC learning. Data was analyzed using template analysis.
Results
We identified four themes that influenced learning during COVID care: collective uncertainty, social cohesion and a sense of safety, the need for adaptive performance and intraPC learning. During the first wave, collective uncertainty about the unknown disease and the continuation of the crisis urged residents to adapt in order to take care of patients with a disease that was as yet unknown. The combination of collective uncertainty, social cohesion and a sense of safety, and the presence of different disciplines in one department promoted residents’ intraPC learning. However, intraPC learning was not always the matter of course due to the scope of the crisis and the huge numbers of new patients.
Conclusion
Collective uncertainty affected the residents’ adaptability. The combination of collective uncertainty, social cohesion, and the presence of different disciplines in one department promoted the residents’ intraPC learning. An important facilitating factor for both adaptability and intraPC learning is a high level of social cohesion and safety. The physical and psychological proximity of supervisors is an important factor contributing to a safe learning environment.
Assessment of Rectal Radiation Exposure During Radiation Treatment of Prostate Cancer
Authors: Magyar-Lengyel Judit , Ungvári Tamás , Dankovics Zsófia , Szabó Döme , Kiss Balázs , Sipos Dávid , Csejtei András , Tőkési Károly 
Published: July 2022

Abstract
Prostate cancer is one of the most common cancer worldwide. A number of treatment methods for prostate cancer are known; one is external beam radiotherapy (EBRT). However, due to the anatomical location of the prostate, care must be taken during radiotherapy treatment to protect the organs at risk. We present findings of the dose load of the rectum as a risk organ during radiotherapy for patients with intermediate and high-risk prostate cancer. Furthermore, we also present an analysis of the effectiveness of the rectal preparation protocols prescribed to patients. This study was performed using retrospective document analysis. 186 Cone-beam computer tomography (CBCT) images of 14 prostate cancer patients were analysed. We found that the diet used during the treatment did not prove successful, as even patients who cooperated well showed large variation in ct scans. Consequently, we recommend that patients start a diet a few days before the planning computer tomography (CT) scan. Alternatively, meals can be provided in the hospital or delivered to the patient's home. In addition, probiotics may be necessary because of the intestinal gas that develops during the treatment.
Breastfeeding Mobile Application for Mothers with Gestational Diabetes Mellitus: Designed by Mothers and Experts
Authors: Park Seungmi , Kwak Eunju , Lee Jisan 
Published: July 2022

Abstract
Background: Since mothers with gestational diabetes mellitus and their babies have increased risks for diabetes, obesity, and cardiovascular complications, breastfeeding, which helps lower the risks, is strongly recommended for them. However, due to various barriers, the rate of breastfeeding remains low among mothers with gestational diabetes mellitus. Hence, this study aimed to develop a mobile application to help promote breastfeeding in mothers with gestational diabetes mellitus who are vulnerable to infection, especially in the current coronavirus disease (COVID-19) situation in which social distancing is mandated. Method: The Method of App Selection based on Users' Needs (MASUN), a method used in designing app structure and user interface (UI) by considering user needs, was used to develop the “Breastfeeding for Gestational Diabetes Mellitus App (BFGDM App)” by reflecting the needs of target users (i.e., mothers with gestational diabetes mellitus). Four personas were created based on the experiences of four mothers with gestational diabetes mellitus, and the personas’ needs were assessed and prioritized. Two professors and a clinical instructor in women’s health nursing conducted an expert review and revised the contents. Results: The final version of the BFGDM App included the following components to promote breastfeeding in mothers with gestational diabetes mellitus: baby growth, breastfeeding records, information about mothers with gestational diabetes mellitus, information about breastfeeding, videos demonstrating breastfeeding methods and breast massage techniques, breastfeeding success stories, a message board, a section for frequently asked questions and the answers (Q&A), and links to breastfeeding education centers.Conclusions: The use of the BFGDM App is expected to help prevent complications in mothers with diabetes mellitus and their babies, and promote maternal and child health through improved breastfeeding practices, especially in social distancing situations resulting from COVID-19.
Interactions of rogue and solitary wave solutions to the (2+1)-D generalized Camassa-Holm-KP equation
Authors: Abdeljabbar Alrazi , Hossen M. Belal , Roshid Harun-Or- , Aldurayhim Abdullah 
Published: July 2022

Abstract
This research explores a (2 + 1)-d generalized Camassa-Holm-Kadomtsev-Petviashvili (gCHKP) model. We use a probable transformation to build bilinear formulation to the model by Hirota bilinear technique. We derive a single lump waves, multi-solitons solutions to the model from this bilinear form. We present various dynamical properties of the model such as one-, two-, three-, four-solitons. The double periodic breather waves, periodic line rogue wave, interaction between bell soliton and double periodic rogue waves, rogue and bell soliton, rogue and two bell solitons, two rogues, rogue and periodic wave, double periodic waves, two pair of rogue waves as well as interaction of double periodic rogue waves are established in a line. Among the results, most of the properties are unexplored in the prior research. Furthermore, with the assistance of Maple Software, we put out the trajectory of the obtained solutions for visualized the achieved dynamical properties.MSC: 35Q51, 35Q53, 35C99, 37K10, 74J35
Hydrodynamic Model and Data Driven Evolutionary Algorithm Based Coordinated Optimal Operation Method of a Multi-Dam Flood Control System
Authors: Li Xuan , Hou Jingming , Ma Yongyong , Li Xinyi , Li Donglai , Gao Xunjun , Liu Yuan 
Published: July 2022

Abstract
Coordinated flood control operation of dams in a river is an optimization problem with competing decision objectives and introduces risks for decision making. Taking into account upstream and downstream flood risks, a novel method for multi-objective dam optimal operation is proposed in this study based on the hydrodynamic model and data driven evolutionary algorithm. In the proposed method, a flood control system based on hydrodynamic model was developed to simulate flood propagation and provide hydraulic characteristics, and were combined with the multi-objective particle swarm optimization (MOPSO) algorithm to design operation rules. In addition, to improve computational efficiency of the optimal operation method, the Kriging model was coupled into the optimization process to assist in the selection of potential non-dominated solutions for exact objective function evaluation. This drives the MOPSO algorithm for solution and greatly reduces unnecessary reliability evaluation. The proposed method was applied to a real flood control system of the rivers in the urban city of Chengdu, China. The results show that the developed optimal operation method is able to accurately evaluate the flood propagation using the hydrodynamic model and provide optimal operation schedules. The Pareto front of the proposed objectives demonstrates the trade-off between the competing objectives to minimize risks while satisfying flood protection requirements. The new method could provide reliable guidance for flood control scheduling of dams in flood season, and the decision makers can select the operation rules according to their risk preference.
Intravenous versus oral iron for iron deficiency anaemia in pregnant Nigerian women (IVON): study protocol for a randomized hybrid effectiveness-implementation trial
Authors: Afolabi Bosede Bukola , Babah Ochuwa Adiketu , Akinajo Opeyemi Rebecca , Adaramoye Victoria Olawunmi , Adeyemo Titilope Adenike , Balogun Mobolanle Rasheedat , Banke-Thomas Aduragbemi , Quao Rachel , Olorunfemi Gbenga , Abioye Ajibola Ibraheem , Galadanci Hadiza S , Sam-Agudu Nadia A 
Published: July 2022

Abstract
BackgroundAnaemia in pregnancy is highly prevalent in African countries. High-dose oral iron is the current recommended treatment for pregnancy-related iron deficiency anaemia (IDA) in Nigeria and other African countries. This oral regimen is often poorly tolerated and has several side effects. Parenteral iron preparations are now available for treatment of IDA in pregnancy but not widely used in Africa.The IVON trial is investigating the comparative effectiveness and safety of intravenous ferric carboxymaltose versus oral ferrous sulphate standard-of-care for pregnancy-related IDA in Nigeria. We will also measure the implementation outcomes of acceptability, feasibility, fidelity, and cost-effectiveness for intravenous ferric carboxymaltose.Methods This is an open-label randomized controlled trial with a hybrid type 1 effectiveness-implementation design, conducted at 10 health facilities in Kano (Northern) and Lagos (Southern) states in Nigeria. A total of 1,056 pregnant women at 20 – 32 weeks’ gestational age with moderate or severe anaemia (Hb < 10g/dl), will be randomized 1:1 into two groups. The interventional treatment is one 1000 mg dose of intravenous ferric carboxymaltose at enrolment; control treatment is thrice daily oral ferrous sulphate (195 mg elemental iron daily), from enrolment till 6 weeks postpartum.Primary outcome measures are: 1) prevalence of maternal anaemia at 36 weeks and 2) infant preterm birth (<37 weeks’ gestation), and will be analysed by intention-to-treat. Maternal full blood count and iron panel will be assayed at 4 weeks post enrolment, 36 weeks’ gestation, delivery, and 6 weeks’ postpartum. Implementation outcomes of acceptability, feasibility, fidelity and cost will be assessed with structured questionnaires, key informant interviews and focus group discussions.DiscussionThe IVON trial could provide both effectiveness and implementation evidence to guide policy for integration and uptake of intravenous iron for treating anaemia in pregnancy in Nigeria and similar resource-limited, high-burden settings. If found effective, further studies exploring different intravenous iron doses are planned.Trial registrationThe trial has been registered at the WHO clinical trial registry (ISRCTN63484804, registration date 10/12/2020) and Clinicaltrials.gov (NCT04976179 registration date 26/07/2021). The current protocol version is Version 2.1.
Molecular and biological characterization of an isolate of passiflora virus Y (Potyvirus) naturally infecting soybean (Glycine max) in Brazil
Authors: Ribeiro-Junior Marcos Roberto , Silva Felipe Barreto da , Marubayashi Julio Massaharu , Uzan Juliana , Nogueira Angelica Maria , Muller Cristiane , Nascimento Daniele Maria , Yuki Valdir Atsushi , Narita Nobuyoshi , Pavan Marcelo Agenor , Ochoa-Corona Francisco Manuel , Krause-Sakate Renate 
Published: July 2022

Abstract
Passiflora virus Y was detected infecting soybean (Glycine max) for the first time naturally in Brazil. This research reports the complete genome sequence, molecular and biological properties of PaVY Brazilian isolate. The complete genome sequencing shows a 9679nt long virus that shares 84.4% nt identity with a previously reported PaVY isolate reported from Passiflora spp. PaVY-Br induced chlorotic spots and systemic mosaic on soybean and chlorotic local lesions on passion fruit (Passiflora edulis) and sesame (Sesamum indicum). The virus was successfully transmitted by Myzus persicae, indicating the aphid vector can contribute to PaYV spreading from passion fruit to soybean plants. Additional epidemiological research is in progress to investigate the distribution of PaVY in soybean production areas in Brazil.
Patient iPSC-derived astrocytes with high polygenic risk for schizophrenia reveals a role for mitochondrial glutamate carrier SLC25A18
Authors: Beekhuis-Hoekstra Stephanie , Laupman Karen , Wei Yongbin , Watanabe Kyoko , Cornelissen-Steijger Paulien , Sullivan Patrick , Posthuma Danielle , Heine Vivi 
Published: July 2022

Abstract
Schizophrenia is a highly heritable developmental disorder with often devastating effects on patients and their families. The causal mechanisms behind SCZ remain largely unknown, even after more than a century of research. Astrocytes are increasingly being associated with neuropsychiatric disorders including schizophrenia, yet have gained little attention in research. Therefore, in the current report, we investigate the role of astrocytes in schizophrenia by generating iPSC-derived astrocytes from 21 cases and 10 controls. Cases and controls were selected using a genetically informed strategy to increase statistical power of our study without a need for a priori knowledge of causal pathways. In addition, we selected patients with different genetic risk factors to test the generalization potential of our results. We show that neurons co-cultured with schizophrenia astrocytes have higher VGLUT/VGAT ratios than neurons co-cultured with controls astrocytes. Testing for transcriptional differences highlighted 10 genes that separated cases from controls. Of these, differences in SLC25A18 expression were most pronounced and is potentially driving the synaptic differences which we observed in our astrocyte-neuron co-cultures. Of note, SLC25A18 is encoded in a region that has been repeatedly associated with SCZ and its protein transports glutamate across the inner membrane of mitochondria. Our results confirm the involvement of astrocytes in schizophrenia pathology with a specific role for SLC25A18, and show that astroglia can indeed create neuronal abnormalities previously reported in SCZ (i.e. synaptic imbalance). More specifically, these findings support previous reports on the involvement of glutamate buffering by astrocytes and mitochondrial defects in the disease etiology of schizophrenia.
Peer Support and Whole Health Coaching to Address the Healthcare Needs of Homeless Veterans: A Pilot Study
Authors: Blonigen Daniel M. , Smelson David , Smith Jennifer , Baldwin Nicole , McInnes D. Keith , Raikov Ivan , Weber Jillian , Hyde Justeen 
Published: July 2022

Abstract
Background: Homelessness is a robust social determinant of acute care service utilization among veterans. Although intensive outpatient programs have been developed for homeless veterans who are high utilizers of acute care (“super utilizers”), few scalable programs have been implemented to address their needs. Objective: Describe the development and pilot testing of a novel intervention that integrates the roles of a peer and whole health coach (“Peer-WHC”) in coordination with primary care teams to reduce homeless veterans’ frequent use of acute care. Design: Single-arm trial in three outpatient primary care clinics at a Veterans Health Administration (VHA) medical center; pre/post design using mixed-methods.Participants: Twenty veterans from VHA’s homeless registry who were super-utilizers of acute care and enrolled in primary care.Intervention: Weekly health coaching sessions with a peer over 12 weeks, including discussions of patients’ health care utilization patterns and coordination with primary care. Main Measures: Rates of session attendance and intervention fidelity, patient-reported satisfaction and changes in patient engagement and perceptions of health, pre/post utilization of acute and supportive care services, and qualitative interviews with multiple stakeholders to identify barriers and facilitators to implementation.Key Results: On average, patients attended 6.35 sessions (SD=3.5, Median=7). Satisfaction scores (M=28.75 out of 32; SD=2.79) exceeded a priori benchmarks. Patients’ perceptions of health improved from pre to post [t(df)=-2.26(14), p=0.04]. In the 3-months pre/post, 45% (n=9) and 15% (n=3) of patients, respectively, were hospitalized. Qualitative feedback from patients, providers, and peers and fidelity metrics suggested value in increasing the length of the intervention to facilitate goal-setting with patients and coordination with primary care. Conclusions: Findings support the feasibility, acceptability, and utility of Peer-WHC to address the healthcare needs of homeless veterans. A future trial is warranted to test the impact of Peer-WHC on reducing these patients’ frequent use of acute care.