bluuebunny/crossref_metadata_2025_split huggingface dataset:
“I get higher marks via BYOD “ - a descriptive qualitative study on student experiences using BYOD e-assessments to enhance the dimensions of administration and support for learning excellence.
Authors: As Janus van , Brits Kanita Elizabeth 
Published: December 2022

Abstract
Bring Your Own Device (BYOD) e-assessment is a strategy that allows students to use their own devices to conduct digital assessments without the need for specialised facilities. This can enhance learning excellence as it improves the administration and support of the student experience. BYOD e-assessment is not a widely used strategy, yet it has multiple benefits. Therefore, this study explores the use of BYOD for high-stakes e-assessment and was conducted at a Faculty of Medicine and Health Science. Since 2014, over 14 000 exams have been conducted using this approach. This study evaluates students' perceptions of BYOD e-assessment and was conducted through survey research with open-ended questions. The following themes were identified; technical and ICT barriers (technical challenges for student devices, technical challenges with infrastructure, type of device determines user-experience) and student experience (safety and familiarity with own device, convenience, supporting environment, autonomy, digital abilities, better quality assessments, and feedback). The findings showed that for most students using their devices provides them with a feeling of safety due to the familiarity with their own devices. Taking your exam in a familiar more pleasant environment reduces stress. However, students with older devices might stress about using their own devices and students should feel comfortable with using technology. BYOD for e-assessment is a good solution to enhance the student experience and reduce administration. However, it is not a one-size-fits-all solution and requires multiple interventions such as faculty development, support, training of students and a good strategy before implementation.
Brief Tele-Mindfulness Based Intervention: A Randomized Controlled Multicenter Trial
Authors: AlQarni Amani M. , ElFaki Abdulaziz , Wahab Moataza M. Abdel , AlJehani Yasser , ALKhunaizi Auday A. , Alex Johnson , Othman Sharifa A. , Amer Fatma H. , AlGhamdi Faisal A. , Alissa Khalid A. 
Published: December 2022

Abstract
Background: To enhance psychological wellbeing of health care providers (HCP) who look after patients with COVID-19. This study is a psychological intervention in COVID19 pandemic to check at what extent can interventions based on mindfulness affect psychological resilience and anxiety of HCP.
Methods: This is a randomized controlled trial study that was conducted from July to August 2020 at King Fahad Hospital and Qateef Central Hospital in Saudi Arabia. 147 COVID19 frontline HCP were randomized to a 2-week virtual intervention with brief mindfulness-based intervention (BMM) or to progressive muscle relaxation(PMR).
Pre and post intervention assessment were done using the (state trait anxiety–20 Item Scale), the (Connor-Davidson Resilience Scale (CD-RISC-10), and WHO – 5 Well-Being Index.
Results: The two groups had significant improvement results in the psychological wellbeing and reduction of the sate anxiety but not the trait anxiety nor the resiliency. Improved cases was higher among group BMM (81.3%) than among group PMR (51.8%), (X2=12.9, p=0.0001), concerning psychological wellbeing.
Conclusions: Brief mindfulness-based intervention has improved the psychological wellbeing and reduced the anxiety of frontline health care providers during COVID19 pandemic.
Trial registration: Clinicaltrial.gov identifier: NCT04656626
https://clinicaltrials.gov/ct2/show/NCT04656626?cond=Mindfulness&cntry=SA&draw=2&rank=1
Tropical study on Clinical and Host Cell Responses of Acute Phase Proteins, Pro-Inflammatory Cytokines and Antibodies’ in Lactating Dairy Cows Vaccinated and Challenged with S. aureus
Authors: Hambali Idris Umar , Jesse Faez Firdaus Abdullah , Bhutto Khaleeq ur Rehman , Lila Mohd Azmi Mohd , Zakaria Zunita , Haron Abd Wahid , Norsidin Mohd Jefri 
Published: December 2022

Abstract

In the tropical region of Malaysia (the study area), the climate has a mean annual temperature of 25.4°C with the hottest months of the year being April, May and June. On an average, December is 83.0% the most humid (MMD, 2017). It was confirmed by Cunha et al. (2008); that dairy cows raised in tropical conditions had less milk production as the somatic cell count (SCC) increased in mastitis cases. In humid tropics, Insua et al. (2008) also reported mastitis prevalence of about 42.0 %. The reduction in milk production due to cases of clinical mastitis is the component with the largest weight (42.2%) in the total economic impact of mastitis due to the large percentage of cows with SCCs. Therefore, the intensification of dairying, especially under tropical conditions, presents disease problems with mastitis as an important occurrence. And dairy farmers in the study area have reported cases of reduced dairy production and evidence of mastitis in dairy cows. This paper aims to provide an understanding of the effect developed killed vaccine on IgG, IgM, IgA, interleukin-10, interleukin-12, haptoglobin and serum amyloid A concentration on vaccinated and challenged dairy cows raised under tropic condition. Six lactating dairy cows were grouped into 3 treatment groups. Group A and B were inoculated intramuscularly with 2ml of normal saline while Group C received 108CFU/ml of the killed bacteria followed by a booster. The cows in group B and C were inoculated with 2ml of 106CFU liveS. aureusbacterin in each mammary gland quarter while treatment group A was inoculated with 2ml of normal saline a week post booster. Blood samples were periodically collected. There was significant difference in the rectal temperatures, heart, and respiratory rates among the treatment groups. Results of the current study however, revealed that antibodies titres of immunoglobulin M, G and A were significantly (p<0.05) elevated throughout the post-primary vaccination, post-booster vaccination and post challenge phases. In addition, there were significant differences (p<0.05) in the interleukin-10, interleukin-12, haptoglobin and serum amyloid A concentration at different phases between treatment groups. In conclusion, this study revealed that the prototype killedS. aureusvaccine could induce significant clinical and humoral immune responses needed for improving dairy production in tropical climates such as that of Malaysia. This was deduced from the reaction of pro-inflammatory cytokines and acute phase proteins biomarkers.
Highly efficient platelet generation in lung vasculature reproduced by microfluidics
Authors: Zhao Xiaojuan , Alibhai Dominic , Walsh Tony , Tarassova Nathalie , Englert Maximilian , Birol Semra , Li Yong , Williams Christopher , Neal Chris , Burkard Philipp , Aitken Elizabeth , Waller Amie , Ballester-Beltran Jose , Gunning Peter , Hardeman Edna , Agbani Ejaife , Nieswandt Bernhard , Hers Ingeborg , Ghevaert Cedric , Poole Alastair 
Published: December 2022

Abstract
Platelets, small hemostatic blood cells, are derived from megakaryocytes (MKs). It is accepted that both bone marrow (BM) and lung are principal sites of thrombogenesis although underlying mechanisms remain unclear. Outside the body, however, our ability to generate platelets, and retain their functionality, is poor at present. Here we show that perfusion of MKs ex vivo through the mouse lung vasculature generates substantial platelet numbers, up to 3,000 per MK. Despite their large size, MKs were able repeatedly to passage through the lung vasculature, leading to enucleation and subsequent platelet generation intravascularly. Using the ex vivo lung and a novel in vitro microfluidic chamber we determined how oxygenation, ventilation and endothelial cell health support platelet generation. Our data also show a critical role for the actin regulator TPM4 in the final steps of platelet formation in lung vasculature. The findings could inform new approaches to large scale generation of platelets.
Developing genetically stable live-attenuated vaccine candidates against type 1 and 3 poliovirus
Authors: Andino Raul , Yeh Ming Te , Smith Matthew , Carlyle Sara , Konopka-Anstadt Jennifer , Konz John , Burns Cara , Macadam Andrew 
Published: December 2022

Abstract
Vaccination with Sabin oral poliovirus vaccine (OPV) results in robust intestinal and humoral immunity and has been key to controlling poliomyelitis. However, as with any RNA virus, OPV can evolve rapidly . During replication, OPV strains can lose their attenuating mutations—polymorphisms in domain V of the 5′ untranslated region are critical to the reacquisition of virulence —and the reverted viruses can cause vaccine-associated paralytic polio in vaccine recipients or their immediate contacts. Also, circulation in under-immunized populations leads to further evolved viruses with higher transmission capacity, called circulating vaccine-derived polioviruses. These characteristics of OPV represent a significant risk of polio reemergence. A novel type 2 oral polio vaccine recently received authorization to respond to poliovirus outbreaks based on promising clinical data on genetic stability and immunogenicity. Here we report development of two additional vaccine candidates against types 1 and 3 poliovirus serotypes. The candidates were generated by replacing the capsid coding region of nOPV2 with those from Sabin 1 and Sabin 3. These chimeric viruses preserve all the nOPV2 documented characteristics concerning genetic stability. Importantly, these vaccine candidates are highly immunogenic in mice as monovalent and trivalent formulations and may contribute to the poliovirus eradication.
Assessment of the Effects of Climate Change on Groundwater Fluctuations in Thanjavur District, Tamilnadu, India
Authors: Ilavarasan N. 
Published: December 2022

Abstract
Climate change is the variation of weather pattern among their environmental conditions occurs a particular specified period all over the world. This study covers the groundwater fluctuation with various climatological factors for the Thanjavur district Tamil Nadu. The climatological data like daily rainfall, daily temperature and Groundwater level were collected from statistical data center Tharamani, Chennai for 20 years (1999–2018). The El – Nino and LA – Nina occurrences were collected from National Oceanic and Atmospheric Administration (NOAA) center. Based on the collected data the runoff is estimated by using Indian Council for Agricultural Research (ICAR) method. The Evapo-Transpiration (ET) is calculated from Blaney – Criddle Equation. From this evaluation the atmospheric temperature is increased in recent years, this mainly due to change in El – Nino and LA – Nina occurrence pattern. The study area receives 50% of rainfall during North East monsoon season and highest annual average rainfall noted in Papanasam Taluk, Tamilnadu, India. The highest runoff is estimated in November month because of low atmospheric temperature and high soil moisture content. The ET value increased in recent years, mainly reduction in land cover and urbanization. The highest groundwater fluctuation occurs during 2013 to 2015 is mainly due to increasing in the Oceanic Nino Index value (ONI). The future Groundwater Fluctuation is identified based on ONI value is predicated by statistical analysis.
The role and effectiveness of patient feedback system in strengthening patient-provider relationships in rural Tanzania
Authors: Isangula Kahabi 
Published: December 2022

Abstract
Introduction:
Patient feedback system forms an important entry point for medical personnel and healthcare administrators to identify healthcare service delivery gaps and develop responsive interventions. This may foster patient trust consequently increasing healthcare-seeking, engagement in decision, continuity, and satisfaction. However, research on patient feedback systems in rural primary healthcare settings appears limited.
Objective
The paper builds on recent research on patient-provider relationships in rural Tanzania to examine the role and effectiveness of patient feedback systems in improving therapeutic relationships.
Methods
The paper examines the findings of qualitative descriptive research in rural Tanzania that employed a human-centred design approach to co-create an intervention package for improving nurse-client relationships between January and September 2022. The study used semi-structured interviews in Swahili with purposefully selected providers, patients, and administrators to explore drivers of poor provider-patient relationships in the Shinyanga region of rural Tanzania. Interviews were concurrently translated and transcribed, then systematically coded to facilitate the development of themes using a thematic analysis approach. Findings related to patient feedback systems are used for this paper.
Findings:
Most participants cited the benefits of an effective Patient feedback system as reducing patients’ confusion around the complaints process, promoting patients’ positivity towards providers and hospitals, and reducing tensions between patients and providers. Suggestion boxes were the most cited Patient feedback system however, there were widespread concerns about their accessibility and effectiveness. While the providers (nurses) and administrators described suggestion boxes as widely available, they affirmed not receiving feedback or complaints from patients for a very long time. Contrastingly, most patients described suggestion boxes as largely unavailable and ineffective, with concerns of non-user friendliness and non-responsiveness dominating.
Conclusion
Despite their potential benefits in healthcare service quality improvements, the availability, user-friendliness, and responsiveness of patient feedback systems continue to be challenging. A call is made to providers, health administrators and researchers to prioritise the patient feedback system as both a useful entry point to reducing tensions in therapeutic relationships and, a tool for improving patient service uptake, continuity with care and satisfaction.
A single-cell transcriptome atlas of the West African lungfish highlights the respiratory evolution of a fish adapted to water and land
Authors: Zhang Ruihua , Liu Qun , Zhang Yingying , Qin Yating , Du Xiao , Lu Yongrui , Yuan Zengbao , Song Yue , Zhang Mengqi , Wang Kun , He Shunping , Liu Xin , Xu Xun , Yang Huan-Ming , Seim Inge , Fan Guangyi 
Published: December 2022

Abstract
The six species of lungfish possess both lungs and gills and are the closest extant relatives to tetrapods. Here, we report a single-cell transcriptome atlas of the West African lungfish (Protopterus annectens). This species manifests the most extreme form of terrestrialization, a life history strategy to survive dry periods in five lungfish species that can last for years, manifested by dormancy and reversible adaptive changes of the gills and lungs. Our atlas highlights the cell type diversity of the West African lungfish, including gene expression consistent with phenotype changes of terrestrialization. Comparisons with terrestrial tetrapods and ray-finned fishes revealed broad homology between the swim bladder and lung cell types and shared and idiosyncratic changes of the repressed, external gills of the West African lungfish and the internal gills of Atlantic salmon. The single-cell atlas presented here provides a valuable resource for further exploration of the evolution of the vertebrate respiratory system and the diversity of lungfish terrestrialization.
Cognitive decline and synaptopathy in X-linked moesin knock-out mice
Authors: Cai Hua , Lee Seong Mi , Lee Bomlee , Im Soo Jung , Kim Dong Hyeon , Choi Hyung Jun , Kim Jin Hee , Kim Yeni , Shin Boo Ahn , Jeon Songhee 
Published: December 2022

Abstract
Moesin-like gene 1 antisense was increased in the postmortem cortex of patients with autism spectrum disorders. Overexpression of moesin-like gene 1 antisense induces downregulation of moesin expression in cortical neurons, resulting in decreased neurite numbers and length. However, moesin knockout (KO) mice have not been reported about behavioral abnormalities or delayed brain development, indicating autism spectrum disorders. Here, we generated moesin KO mice by using the CRISPR/CAS9 system and observed their behaviors. Moesin KO mice exhibited abnormal developmental behaviors at 7 days, cognitive decline in the passive avoidance and Y maze tests, and anxiety symptoms in the open field test compared to wild-type mice at 3 months. Moreover, the primary cortical neurons of moesin KO mice showed a low cell survival rate and low expression of proteins involved in neuronal development and growth, such as MAP2, DCX, SOX2, SNAP25, and PSD95. Western blot analysis also revealed the downregulation of various synaptic proteins, such as syntaxin 1A and CDK5, in the brain of moesin KO adult mice. Moreover, the phosphorylation levels of synapsin I, MUNC18, ERK, and CREB were downregulated in the brains of moesin-KO mice. Furthermore, risperidone reversed the impaired memory function and synapsin I and ERK phosphorylation in the cortical tissue of moesin-KO mice. Thus, these results suggest that moesin affects neurodevelopmental and cognitive processes, plays an important role in the synaptic plasticity showing normal synapse structure and function, and that risperidone can reverse these synaptopathy and neurodevelopmental disorders.
Histogram Analysis of dynamic contrast-enhanced magnetic resonance imaging to predict extramural venous invasion in rectal cancer
Authors: Wang Ke-xin , Yu Jing , Li Yang , Xu Qing 
Published: December 2022

Abstract
Background
To explore the potential of histogram analysis (HA) of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in the identification of EMVI in rectal cancer patients.
Methods
This retrospective study included preoperative images of 194 rectal cancer patients at our hospital between May 2019 and April 2022. Postoperative histopathological examination served as reference standard. Mean values of DCE-MRI quantitative perfusion parameters (Ktrans, Kep and Ve) and other HA features calculated from these parameters were compared between pathological EMVI-positive and EMVI-negative groups. Multivariate logistic regression analysis was performed to establish the prediction model for pathological EMVI-positive status. Diagnostic performance was assessed and compared using the receiver operating characteristic (ROC) curve. The clinical usefulness of the best prediction model was further measured with patients with indeterminate MRI-defined EMVI (mrEMVI) score 2(possibly negative) and score 3 (probably positive).
Results
Mean values of Ktrans and Ve in EMVI-positive group were significantly higher than those in EMVI-negative group (P = 0.013 and 0.025, respectively). Significant differences in Ktrans skewness, Ktrans entropy, Ktrans kurtosis and Ve maximum were observed between two groups (P = 0.001,0.002, 0.000 and 0.033, respectively). The Ktrans kurtosis and Ktrans entropy were identified as independent predictors for pathological EMVI. The combined prediction model had the highest area under the curve (AUC) at 0.926 for predicting pathological EMVI status and further reached the AUC of 0.867 in subpopulations with indeterminate mrEMVI scores.
Conclusion
Histogram Analysis of DCE-MRI Ktrans maps may be useful in preoperative identification of EMVI in rectal cancer, particularly in patients with indeterminate mrEMVI scores.
Projecting XRP price burst by correlation tensor spectra of transaction networks
Authors: Chakraborty Abhijit , Hatsuda Tetsuo , Ikeda Yuichi 
Published: December 2022

Abstract
Cryptoassets are becoming essential in the digital economy era. XRP is one of the large market cap cryptoassets. Here, we develop a novel method of correlation tensor spectra for the dynamical XRP networks, which can provide an early indication for XRP price. A weighed directed weekly transaction network among XRP wallets is constructed by aggregating all transactions for a week. A vector for each node is then obtained by embedding the weekly network in continuous vector space. From a set of weekly snapshots of node vectors, we construct a correlation tensor. A double singular value decomposition of the correlation tensors gives its singular values. The significance of the singular values is shown by comparing with its randomize counterpart. The evolution of singular values shows a distinctive behavior. The largest singular value shows a significant negative correlation with XRP/USD price. We observe the minimum of the largest singular values at the XRP/USD price peak during the first week of January 2018. The minimum of the largest singular value during January 2018 is explained by decomposing the correlation tensor in the signal and noise components and also by evolution of community structure.
A Signal Decomposition Method Based on Improved Complementary Ensemble Empirical Mode Decomposition for Human Pulse Wave Signal
Authors: Chen Haichu , Zheng Huannan , Wang Zhifeng , Cai Baoqian 
Published: December 2022

Abstract
Traditional artificial blood pump requires the perfusionist to continuously monitor and adjust the speed, which is not suitable for the changeable and high-risk cardiac surgery procedures. In order to improve its efficiency and precision, and adaptively control the artificial blood pump, this paper proposes a human pulse wave signal decomposition method based on the improved complementary integrated empirical mode decomposition (CEEMD). The method first preprocesses the signal using the second-order differential peak-valley algorithm, and then decomposes the preprocessed signal into a finite number of intrinsic mode functions (IMFs) using the CEEMD algorithm. The method preprocesses the signal by using second-order differential peak-valley algorithm, and then using CEEMD to decompose the preprocessed signal into a finite number of intrinsic mode functions. After that, the IMFs were denoised by principal component analysis (PCA), and four control signals were obtained as servo motor control signals, which were used to construct the artificial blood pump control model. Finally, the method is used to compare and analyze the collected pulse wave signal and the signal downloaded from the PhysioBank database. The results show that compared with CEEMD, the method can reduce the error rate of the reconstructed signal by about 15%, with high efficiency, high performance, accuracy and robustness.