bluuebunny/crossref_metadata_2025_split huggingface dataset:
Conditions for uptake of evidence-based knowledge in municipal care for older people in Sweden – A developmental evaluation
Authors: Hultqvist Sara , Ekstam Lisa , Andersson Janicke , Nilsson Maria H , Overton Marieclaire , Zingmark Magnus , Iwarsson Susanne 
Published: May 2022

Abstract
ObjectiveThe objective of this paper is to describe the initial phase of a long-term collaboration initiative between a municipality and the medical faculty at a university in Sweden. The overall ambition of the collaboration is to strengthen the quality of care for older people. The concrete goal is to equip academically trained registered health care professionals (HCP) with tools for transferring evidence-based knowledge into practice. As municipal healthcare for older people is mainly carried out by staff lacking academic education, reg. HCP are key actors to bring in and consolidate an evidence-based approach in this setting. Developmental evaluation (DE) has been used to evaluate four separate activities in the initial phase. The activities where sequenced in a cumulative design to provide knowledge for further development of adequate tools.ResultsThe cumulative design originally planned did not fit the internal logic of the municipality. Therefore, workflow and pace adjustments were made to proceed towards the joint ambition; the creation of fruitful conditions for the uptake of evidence-based knowledge. Long-term collaboration between academia and organizations outside academia demands a sensitive and flexible research approach, recognizing that collaboration implies mutuality and restricts the sovereignty of academia in designing research.
Assessment of integrated Community Case Management of Childhood illness (iCCM) practices by trained Patent and Proprietary Medicine Vendors (PPMVs) in Ebonyi and Kaduna States, Nigeria
Authors: Oko Akpu Blessing , Anyanti Jennifer , Adizue Jane Chinyere , Nwankwo Nelson , Idogho Omokhudu , Onyezobi Chinedu Edward , Aizobu Dennis 
Published: May 2022

Abstract
Introduction Malaria, Pneumonia and diarrhea has remained the leading cause of high mortality among children under the age of five years in Nigeria despite government responses in form of policies and programs. The most identifiable cause of these deaths has been attributed to service delivery gaps that limits access to quality child health services in the rural and hard to reach communities were most of these deaths occur at the household level. Patent and proprietary medicine vendors have remained a good resource to addressing the service delivery gaps that lead to the unacceptable high mortality, however little has been done by the government, agencies and organizations to strengthen their capacity and improve their skill to provide quality health services in their various communities. Methods In Ebonyi and Kaduna States, 387 registered PPMVs were selected and trained on integrated community case management of childhood illness, out of which 165 with consistent and accurate data reporting practice were selected for study. The 165 PPMVs selected for this study were assessed on the first and last quarter of the intervention to measure the quality-of-service delivery of child health services in their various communities. Results The study revealed a significant improvement in the quality of treatment provided by the PPMVs across the three disease areas. 21.8% trained PPMVs could not appropriately treat malaria in the first quarter of the intervention, however, there was a significant decrease to 1.8% in second quarter in the number of those that cannot appropriate diagnose and treat malaria. There was also a decrease in the number of those who could not treat cough and fast breathing from 47(28.5%) to 14(8.5%) in the second quarter and for diarrhea from 33.3% in the first quarter to 2.4% in the second quarter. Conclusion Due to the ubiquitous nature of the PPMVs and their outnumbering presence in the hard-to-reach communities, they serve as valuable resource in addressing the health care delivery gap that has led to the continuous rise in the unacceptable high mortality rate of children under the age of five years in Nigeria. Trial registration: Project No: IRB/20/099 dated 12th Jan 2021
Identifying transient and stable bacteria- metabolite interactions from longitudinal multi-omics data
Authors: Zhang Dan , Mullish Benjamin H , Wang Jinfeng , Barker Grace , Chrysostomou Despoina , Gao Shengtao , Chen Lu , McDonald Julie A K , Marchesi Julian R. , Cheng Lu 
Published: May 2022

Abstract
Background
Understanding the complex relationships between bacteria and metabolites in ecological systems are extremely important in studies of different microbiomes. Longitudinal multi-omics study is adopted to investigate interactions between bacteria and metabolites, by directly associating their longitudinal profiles. Since a bacteria/metabolite may involve in many different biological processes, the longitudinal profile is an average of different interactions. Therefore, direct association could only uncover the strongest interactions.
Results
Here we present a computational approach that can rebuild short- and long-term bacteria-metabolite interactions from longitudinal multi-omics datasets. For this task, we re-analyse data (both microbial sequencing and metabolomic analysis) from an in vitro model of Clostridioides difficile infection and faecal microbiota transplant, a disease state and mode of therapy in which perturbed microbiome-metabolome interactions (and their reversal) are well-established to be pertinent. By analysing such a dataset, we generated both a short-term and a long-term interaction network, which predicted many new interactions. Four new interactions were randomly selected to be validated. In batch culture experiments, we validated two of them: (1) Ruminococcus gnavus and Ruminococcus luti could generate 3-ketocholanic acid (2) Blautia obeum could consume succinate.
Conclusions
The deconvolution of the raw longitudinal signal into short- and long-term trends can help users to gain a deeper understanding of their data. This tool will be useful for high-throughput screening of microbe/metabolite/host interactions from a longitudinal multi-omics setting.
Toward a Smart Health: Reality Mining and Big Data Analytics for Real-Time Disease Prediction
Authors: Asri Hiba , Jarir Zahi 
Published: May 2022

Abstract
Background
We are living in an age where data is everywhere and grows up in a very speedy way. Thanks to sensors, mobile phones and social networks, we can gather a hug amount of information to understand human behavior as well as his individual life. In healthcare system, big data analytics and machine learning algorithms prove their effectiveness and efficiency in saving lives and predicting new diseases. This triggered the idea of taking advantages of those tools and algorithms to create systems that involve both doctors and patients in the treatment of disease, predict outcomes and use real-time risk factors from sensors and mobile phones.
Methods
we distinguish three types of data: data from sensors, data from mobile phones and data registered or updated by the patient in a mobile app we created. We take advantages from IoT systems such as Raspberyy Pi to collect and process data coming from sensors. All data collected is sent to a NoSql Server to be then analyzed and processed in Databricks Spark. K-means centroid clustering algorithms is used to build the predictive model, create partitions and make predictions. To validate results in term of efficiency and effectiveness, we used clustering validations techniques: Random K, Silhouette and Elbow methods.
Results
The advantage of the proposed system is its capability to be applied in several prediction disease researches. As a case study, we create an e-monitoring real-time miscarriage prediction system to save baby’s lives and help pregnant women. In fact, doctors receive the results of clustering and track theirs patient through our mobile app to react in term of miscarriage to avoid non-suitable outcomes. While pregnant women receive only advices based on their behaviors. The system uses 15 real-time risk factors and our dataset contains more than 1000000 JSON files. Elbow method affirm three as the optimal number of clusters and we reach 0.99 as a value of Silhouette method, which is a good sign that clusters are well separated and matched.
Library Services amidst the COVID-19 Pandemic: Study of Remotely Exploitable Electronic Academic Databases in Selected University Libraries in Nigeria
Authors: Ishola Bolanle Clifford , Ojokuku Yemisi Beatrice , Akpobasah-Amugen Sarah , Eluyemi Omotoyosi Victoria 
Published: May 2022

Abstract
The study adopted a research design of the qualitative type to investigate library services amid the COVID-19 Pandemic using remotely exploitable electronic academic databases in two Nigerian foremost university libraries, as case studies. An Interview guide was used to elicit data from E-Librarians of the two Federal University libraries randomly selected for the study. The interview guide contains seventeen questions that seek to proffer answers to the main objective of the study. Response retrieved were analyzed using thematic analysis to extract codes, identify patterns, and create themes relevant to the study’s objective. The study revealed that both libraries have a functional E-library and subscribes to key databases. The study also revealed that both libraries’ websites are connected to open source databases remotely accessible to library users. The study reinforces the need to embrace the change in the global architecture of library services in the wake of the COVID − 19 pandemic and make their E-resources remotely accessible to users. The study recommended that library managers should adopt best practices in providing users with remote access to their E-resources. Also, the study underscores the need for library managers to reappraise their memorandum of understanding with E-databases aggregator, allowing their E-resources to be remotely accessible to library users’ thereby limiting users contact with their physical library environment amid the COVID-19 Pandemic.
Quality of Life in patients with non-small cell lung cancer treated with PD-1/PD-L1 Inhibitors: A systematic review and meta-analysis
Authors: Liu Wei , Zhang Qian , Zhang Tiantian , Li Li , Xu Chunhua 
Published: May 2022

Abstract
Background
Immune checkpoint inhibitors (ICIs) have dramatically prolonged survival in non-small cell lung cancer (NSCLC) patients, but little research had focused on its impact on quality of life. The purpose of our study was to compare the quality of life (QOL) in patients with NSCLC treated with programmed cell death protein-1/programmed cell death-ligand 1 (PD-1/PD-L1) inhibitors versus chemotherapy.
Methods
We searched for randomized controlled trials utilizing the Quality of Life Questionnaire Core 30 items (QLQ-C30) and the EuroQol Five Dimensions Questionnaire-3L (EQ-5D-3L) to assess the QOL of NSCLC treated with PD-1/PD-L1 inhibitors versus chemotherapy. We collected hazard ratios (HRs) for the time from baseline to the first clinically deterioration (TTD) and Effect Size as the difference in mean change between and within treatment groups in patients reported outcomes (PROs). (PROSPERO registration number CRD42022296680).
Results
In the five trials reported by QLQ-C30, TTD was longer in PD-1/PD-L1 inhibitors compared with control groups (HR = 0.86; 95% CI = 0.76, 0.97; P = 0.013), with similar results in terms of physical function, role function, and pain. The difference in mean change between the PD-1/PD-L1 inhibitors group and the chemotherapy group in QLQ-C30 and EQ-5D VAS was 3.64 (95% CI = 1.62, 5.66; P = 0.001) and 4.74 (95% CI = 2.65, 6.83; P = 0.001), which supported PD-1/PD-L1 inhibitors. However, there was no significant difference between the two groups in the EQ-5D Utility index (mean change = 0.03; 95% CI = -0.01, 0.07; P = 0.094). The mean change from baseline to follow-up in PD-1/PD-L1 inhibitors group was 2.57 (95% CI = 0.43, 4.71; P = 0.019) and chemotherapy group was − 1.31 (95% CI = -3.71, 1.09; P = 0.284), correspondingly. The subgroup analysis (≤ 15 w vs. > 15 w) for the mean difference between groups in QLQ-C30 favored PD-1/PD-L1 inhibitors.
Conclusion
In conclusion, PD-1/PD-L1 inhibitors could improve the QOL of patients with NSCLC compared to chemotherapy and reduce the unfavorable symptoms during treatment.
Attomolar detection of hepatitis C virus core protein powered by molecular antenna-like graphene effect
Authors: Palacio Irene , Moreno Miguel , Náñez Almudena , Purwidyantri Agnes , Domingues Telma , Cabral Patrícia , Borme Jerome , Marciello Marzia , Mendieta-Moreno Jesús , Torres-Vázquez Beatriz , Martinez Jose , Lopez Maria Francisca , Garcia-Hernandez Mar , Vázquez Luis , Jelinek Pavel , Alpuim Pedro , Briones Carlos , Martin-Gago Jose 
Published: May 2022

Abstract
Biosensors based on graphene field-effect transistors have become a promising tool for detecting a broad range of analytes. However, they lack the stability and reproducibility required to step into biotechnological and biomedical applications. In this work, we use a controlled in-vacuum physical method for the covalent functionalization of graphene to construct ultrasensitive aptamer-based biosensors (aptasensors) able to detect hepatitis C virus core protein. These devices are highly specific and robust, achieving attomolar detection of the viral protein target in human blood plasma. The improved sensitivity is rationalized by theoretical calculations showing that induced polarization at the graphene interface caused by the proximity of covalently bound probe molecule modulates the charge balance at the graphene/molecule interface. This charge balance causes a net shift of the Dirac cone providing enhanced sensitivity towards the attomolar detection of proteins. Such an unexpected effect paves the way for using this kind of graphene-based platform for real-time diagnostics of different diseases.
G-CSF Promotes the Viability and Angiogenesis of Injured Liver via Direct Effects on the Liver Cells
Authors: Liu Zifeng , Zhang Guiling , Chen Jing , Tong Jingjing , Wang Hongmin , Chen Jing , Yang Dong , Hu Jinhua 
Published: May 2022

Abstract
Background: Presently, liver transplantation is the only treatment strategy for liver failure (LF). Although granulocyte colony-stimulating factor (G-CSF) exerts protective functions in LF, it is unclear whether it directly affects the liver cells.Methods and Results: We established an injured liver cell model and observed that G-CSF treatment promoted cell viability and enhanced Ki67 and VEGF-A expression. Then, human umbilical vein endothelial cells (HUVECs) were cultured in a conditioned medium collected from the G-CSF-treated injured liver cells. HUVECs’ proliferation and tubule formation were promoted. Further, in an injured liver mouse model, confirmed via haematoxylin–eosin staining, we evaluated serum alanine aminotransferase activity, Ki67 expression, and micro vessel density (MVD). G-CSF treatment significantly relieved liver injury, upregulated Ki67 expression, and enhanced MVD in the injured mouse liver tissue. Additionally, AKT and ERK signal targets were explored, and it was demonstrated that the effects of G-CSF on injured liver cells were mediated through the AKT and ERK signalling pathways. Conclusions: G-CSF promotes injured liver viability and angiogenesis by directly affecting injured liver cells via the AKT and ERK signalling pathways. These findings enhance understanding regarding the role of G-CSF in recovery from LF.
Performance of the polarization leakage correction in the PILOT data
Authors: Bernard Jean-Philippe , Bernard Adam , Roussel Helene , Ilyes Choubani , Alina Dana , Jonathan Aumont , Hughes Annie , Ristorcelli Isabelle , Samantha Stever , Matsumura Tomotake , Sugiyama Shinji , Komatsu Kunimoto , de Gasperis Giancarlo , Ferrière Katia , Guillet Vincent , Ysard Nathalie , de Bernardis Paolo , Masi Sylvia , Maffei Bruno , Mot Baptiste , Pajot Francois , Ponthieu Nicolas , Savini Giorgio , Vacher Francois , Ade Peter , Tucker Carole , Crane Bruno , Dubois Jean-Pierre , Longval Yuying , Sauvage Valentin 
Published: May 2022

Abstract
The Polarized Instrument for Long-wavelength Observation of the Tenuous interstellar medium (PILOT) is a balloon-borne experiment that aims to measure the polarized emission of thermal dust at a wavelength of 240 μm (1.2THz). The PILOT experiment flew from Timmins, Ontario, Canada in 2015 and 2019 and from Alice Springs, Australia in April 2017. The in-flight performance of the instrument during the second flight was described in [1]. In this paper,we present data processing steps that were not presented in [1] and that we have recently implemented to correct for several remaining instrumental effects. The additional data processing concerns corrections related to detector cross-talk and readout circuit memory effects, and leakage from total intensity to polarization. We illustrate the above effects and the performance of our corrections using data obtained during the third flight of PILOT, but the methods used to assess the impact of these effects on the final science-ready data, and our strategies for correcting them will be applied to all PILOT data. We show that the above corrections, and in particular that for the intensity to polarization leakage, which is most critical for accurate polarization measurements with PILOT, are accurate to better than 0.4% as measured on Jupiter during flight#3.
Effects of low frequency pulsed electromagnetic fields exposure on the condylar subchondral bone at the early stage of temporomandibular joint osteoarthritis
Authors: Ma Yuanjun , Chen Xiaohua , He Feng , Li Shi , He Rui , Liu Qian , Dong Qingshan , Zhou Shuncheng , Miao Hui , Lu Qian , Li Feifei , Yang Hongxu , Zhang Mian , Lin Yuan , Yu Shibin 
Published: May 2022

Abstract
Backgrounds: Temporomandibular disorders (TMD) are a group of diseases occurring frequently in females during puberty or reproductive years. As the most severe manifestation of TMD, temporomandibular joint osteoarthritis (TMJOA) is characterized by abnormal subchondral bone remodeling and cartilage degeneration. As a non-invasive biophysical technology, pulsed electromagnetic field (PEMF) treatment has been proven to be efficient in promoting osteogenesis. However, the potential bone protective effect and mechanism of PEMF on abnormal subchondral bone remodeling in TMJOA are unknown. Methods: In this study, unilateral anterior crossbite (UAC) was used to create TMJOA model in rats, and 17β-estradiol (E2) daily injections were injected daily to mimic patients with high-physiological levels of estrogen. Mouse osteoblast-like MC3T3-E1 cells treated with recombinant murine IL-1β was used to establish inflammatory environment in vitro. The treatment group were subjected to PEMF (2.0mT, 15 Hz, 2h/d). Micro-CT scanning, histological staining, real-time PCR and western blotting assays were preformed to observe the changes in the subchondral bone. Results: The results showed that the abnormal resorption of subchondral bone induced by UAC, characterized by decreased bone mineral density, increased osteoclast activity and down-regulated expression of osteogenesis-related factors (OPG, ALP, Runx2 and OCN) at the early stage, could be reversed by PEMF, which was similar to the effect of estrogen. In addition, PEMF exposure and E2 supplement may have a synergistic effect to some extent. Moreover, PEMF intervention could promote the ALP activity and osteogenic mineralization ability of MC3T3-E1 cells. It had found that PEMF promoted the expression of factors related to Wnt/β-Catenin signal pathway in vivo and in vitro. Conclusions: Our results reveal that appropriate PEMF exposure have a protective effect on subchondral bone in TMJOA at early stage, in which canonical Wnt/β-Catenin pathway may be involved. PEMF may be a promising biophysical approach for early intervention of TMJOA in clinic.
Revealing the sustainability performance of novel food system technologies- a systematic scoping review
Authors: Bunge Anne Charlotte , Wood Amanda , Halloran Afton , Gordon Line 
Published: May 2022

Abstract
Food system technologies (FSTs) are being developed at an unprecedented rate to accelerate the transformation towards sustainable food systems. Sustainability is a multi-faceted concept and innovations may inadvertently promote one facet while compromising another. Yet, limited empirical evidence on the sustainability performance and trade-offs of novel FSTs exist. We conducted a systematic scoping review that accounts for multiple dimensions of sustainability to synthesize peer-reviewed research assessing the sustainability performance of four novel FSTs: plant-based alternatives, vertical farming, food delivery and blockchain technology. Included literature assessed a wide range of sustainability indicators, with a dominant focus on environmental sustainability. Significant research gaps on the public health and socio-economic implications of these FSTs remain. Additional research is explicitly required to understand the general sustainability implications of plant-based seafood alternatives and blockchain technology, public health consequences of food deliveries, and socio-economic consequences of vertical farming. The sustainability performance of FSTs varied across the literature and for sustainability indicators. The development of a holistic sustainability assessment framework that illustrates the implications of deploying and scaling FSTs is needed. This can guide investments in and the development of sustainable food innovation.
Single-shot ptychography at a soft X-ray free-electron laser
Authors: Kharitonov Konstantin , Mehrjoo Masoud , Ruiz-Lopez Mabel , Keitel Barbara , Kreis Svea , Gang Seung-gi , Pan Rui , Marras Alessandro , Correa Jonathan , Wunderer Cornelia , Plonjes Elke 
Published: May 2022

Abstract
Ptychograhy is a scanning coherent diffraction imaging technique capable of providing images of extended samples with diffraction-limited resolution. However, ptychography experiments are time-consuming due to their scanning nature which also prevents their use for imaging of dynamical processes. Recently, setups based on two con-focal lenses were proposed to perform single-shot ptychography in the visible regime by measuring the diffraction pattern produced by multiple overlapping beams in one shot. However, this approach cannot be extended straightforwardly to X-ray wavelengths due to the application of refractive optics. In this work, we demonstrate a novel and nascent single-shot ptychography setup utilizing the combination of X-ray focusing optics with a two-dimensional beam-splitting diffraction grating. It allows single-shot imaging of extended samples at X-ray wavelengths. As a proof of concept, we performed single-shot ptychography in the XUV range at the free-electron laser FLASH and obtained a high-resolution reconstruction of the sample.