bluuebunny/crossref_metadata_2025_split huggingface dataset:
Influencing Factors of the Treatment Level of Elderly Care Workers and Their Career Development Prospects
Authors: cui kaichang , Yang fei , Qian Ruihan , Li Chenmei , Fan Mengting 
Published: April 2023

Abstract
Background: The increasingly aging population in current China has encouraged the emergence of the diversified and multi-level elderly care service industry, and the demand for high-quality elderly life with the help of elderly caregivers continues to grow.
Methods: Based on the existing questionnaire data, this article explores the influencing factors of the treatment level of care staff, and explores their future development prospects.
Results: The results show that whether they have participated in relevant vocational skills competitions, whether they have worked overtime, whether they have overtime wages, and their monthly income have significant effects on their satisfaction of treatment levels. Elderly care workers who have participated in skills competitions are more satisfied about their salary. In addition, workers who rarely and occasionally work overtime are more satisfied compared with those who have never worked overtime; Caregivers with a monthly income of 5,000-6,999 yuan are more satisfied with their salary and treatment than those with below 3,000 yuan.
Conclusion: Therefore, in order to better match the supply and demand of care workers, we should provide formal training and skill competitions for them, appropriately increase their salary level and reasonably arrange their working hours, so as to attract more professional talents into elderly care industry.
Scalable Interconnection Using a Superconducting Flux Qubit
Authors: Saida Daisuke , Hidaka Mutsuo , Makise Kazumasa 
Published: April 2023

Abstract
To improve the performance of quantum computers, implementation technology that guarantees the scalability of the number of qubits is essential, and increasing the degrees of freedom in routing by 2.5-dimensional implementation is important for realizing the scalability of circuits. Here, we achieve long-distance coupling using a superconducting flux qubit enabling routing on the order of millimeters. We report the design for a reliable connection qubit with a proof-of-concept demonstration of quantum annealing. We perform experiments and simulations on suppressing errors due to coupling. The coupling status is strictly controllable, enabling elimination of crosstalk from the unintentional circuit region. A low-temperature flip-chip bonding technology is introduced for the 2.5-dimensional interconnection. The superconducting flux qubit, formed across two different chips via bumps, is demonstrated for the first time to show a state transition similar to that in a conventional qubit. The connection qubit and flip-chip bonding pave the way for new interconnections between different types of qubits. The possibility of interactions between gate-type qubits is investigated in a simulation.
Proportion of HIV exposed infants aged 0-6 months that missed nevirapine prophylaxis in Mulago National Referral Hospital, Uganda: a cross-sectional study
Authors: Hellen Nasambu , Joseph Rujumba , Ezekiel Mupere , Fred Semitala , Philippa Musoke , Senyonga Ronald 
Published: April 2023

AbstractBackground:Nevirapine prophylaxis has been found to lower the risk of HIV transmission in breast-fed infants. While about 95% of pregnant and lactating mothers use Antiretroviral therapy in Uganda, a smaller percentage of HIV exposed infants (HEI)receive nevirapine (NVP)prophylaxis. This study aimed to determine the proportion of HEI whomissed NVP prophylaxis and associated factors.Methods:This was a cross-sectional study done using quantitative methods. It was conducted at Mulago National Referral Hospital. A total of 228mother-infant pairs were enrolled.The proportion of HEI who missed NVP, maternal, infant and health facility factors associated were measured using a pre-tested questionnaire. Bivariate analysis and binary logistic regression model were used to determine the proportion and factors associated with missing NVP prophylaxis.Results:The proportion of HEI who missed NVP prophylaxis was 50/228(21.9%). Factors significantly associated with HEI missing NVP prophylaxis included; delivery from outside government health facilities [AOR=8.41 95% (CI 3.22-21.99)], mothers; not undergoing PMTCT counselling [AOR=12.01 95% (CI 4.53-31.87)],not on ART[AOR=8.47 95% (CI 2.06-34.88)] and not having disclosed their HIV status to their partners [AOR=2.80 95% (CI 1.13-6.95)].The HEI that missed nevirapine and were HIV positive were 35 (70.0%).Conclusion: One in five HEI missed NVP prophylaxis and nearly three quarters of those who missed NVP prophylaxis were HIV infected. Improving uptake of nevirapine by HEI will require interventions tostrengthen PMTCT counselling, assisted partner notification, reduction of HIV stigma and support to the private sector in the provision of PMTCT services.
Role of soil nutrient elements transport on Camellia oleifera yield under different soil types
Authors: Chen Yu , Zheng Jinjia , Yang Zhijian , Xu Chenhao , Liao Penghui , Pu Shaosheng , El-Kassaby Yousry A. , Feng Jinling 
Published: April 2023

Abstract
Background
Most of C. oleifera forests have low yield and poor quality, largely associating with soil fertility. Soil physical and chemical properties interact with each other to affect soil fertility. C. oleifera growing under different soil conditions affected their yield and oil composition. Three main soil types were selected, and redundancy, correlation, and double-screening stepwise regression analysis were used, for exploring the relationships between Camellia oleifera nutrients uptake and soil physical and chemical properties, shedding light on the transport law of nutrient elements from root, leaves, and kernel, and elaborating the regulation of fruit yield and oil composition.
Results
In the present study, available soil elements content of C. oleifera forest were mainly regulated by water content, pH value total N, P and Fe contents. Seven elements (N, P, K, Mg, Cu, Mn and C) were key for kernel’s growth and development, with N, P, K, Cu and Mn contents determining the yield traits. The transport characteristics of these nutrients from root, leaves to the kernel were synergistic and antagonistic effects. There were two ways to control the oil production and the content of various oil components: one was to adjust N, P, K, Mg, Zn, Fe and Cu contents of leaves by applying corresponding foliar fertilizers, while the other was to change the soil water content and pH, and apply N, P, Zn, Mg and Ca fertilizers.
Conclusion
Soil type controlled nutrient absorption by soil pH, water content and total N, P and Fe content. There were synergistic and antagonistic effects on the inter-organ transport of nutrient elements, ultimately affecting the contents of N, P, K, Cu and Mn in kernel, which determined the yield and oil composition of C. oleifera.
Copper-Sulfur-Nitrogen Cluster Providing a Local Proton for Efficient Carbon Dioxide Photoreduction
Authors: Dong Jian-Peng , Xu Yue , Zhang Xun-Guang , Zhang Huan , Yao Ling , Wang Rui , Zang Shuang-Quan 
Published: April 2023

Abstract
Atomically precise Cu clusters are highly desirable as catalysts for CO2 reduction reaction (CO2RR), and they provide an appropriate model platform for elaborating their structure–activity relationship. However, an efficient overall photocatalytic CO2RR with H2O using assembled Cu-cluster aggregates as heterogeneous photosensitive semiconductors has not been reported. Herein, we report a stable crystalline Cu–S–N cluster photocatalyst with local protonated N–H groups (denoted as Cu6–NH). The catalyst exhibits suitable photocatalytic redox potentials, high structural stability, active catalytic species, and a narrow bandgap, which account for its outstanding photocatalytic CO2RR performance under visible light, with ~100% selectivity for CO evolution. Remarkably, systematic isostructural Cu-cluster control experiments, in situ infrared spectroscopy, and density functional theory calculations revealed that the protonated pyrimidine N atoms in the Cu6–NH cluster act as a proton relay station, providing a local proton during the photocatalytic CO2RR. This efficiently lowers the energy barrier for the formation of the *COOH intermediate, which is the rate-limiting step, efficiently enhancing the photocatalytic performance. This work lays the foundation for the development of atomically precise metal-cluster-based photocatalysts.
Construction of a prognostic model for gastric cancer patients based on NAD+ metabolism-related genes and tumor microenvironment analysis
Authors: Xing Yu , Zhang Zili , Gao Wenqing , Song Weiliang , Li Tong 
Published: April 2023

Abstract
Background
Nicotinamide adenine dinucleotide (NAD+) metabolism is important in the regulation of tumor immune escape. This study endeavored to develop a NAD + metabolism-related signature in gastric cancer (GC), which could provide a theoretical foundation for prognosis and therapy of GC patients.
Methods
First, differentially expressed genes (DEGs) between GC and paraneoplastic tissues were intersected with NAD + metabolism-related genes (NMRGs) to obtain differentially expressed NMRGs (DE NMRGs). Then, based on the transcript levels of NMRGs, GC patients were classified into high and low scoring groups using the Gene set variation analysis (GSVA) algorithm. Next, the DEGs between the high and low scoring groups were intersected with DEGs between GC and paraneoplastic tissues to obtain the GC-NM DEGs. Additionally, univariate Cox analysis and Least absolute shrinkage and selection operator (LASSO) regression analysis of GC-NM DEGs were performed to obtain prognostic biomarkers, which were used to construct a risk model. In addition, independent prognostic factors were obtained by Cox analysis based on risk scores and clinicopathological factors. Gene set enrichment analysis (GSEA) enrichment analysis and immune infiltration analysis were performed for the high- and low-risk groups. Finally, the mRNA expression of prognostic related genes was verified by experiment.
Results
10 DE NMRGs were obtained and they were involved in the biological process of NAD biosynthetic process, nicotinamide nucleotide, and biosynthetic process. Further 7 biomarkers, including DNAJB13, CST2, THPO, CIDEA, ONECUT1, UPK1B, and SNCG, were obtained through univariate Cox and LASSO analyses of 1001 GC-NM DEGs. In addition, risk score and gender were demonstrated as credible independent prognostic factors for GC. Moreover, GSEA showed that the high-risk group was associated with bile secretion, intrinsic component of synaptic membrane and other pathways, while the low-risk group was associated with CMG complex. In addition, T cells, B cells, and natural killer cells were positively correlated with risk scores, and plasmacytoid dendritic cells were negatively correlated with risk scores. By QRT-PCR, the expression of prognostic genes in GC tissues was significantly up-regulated compared with paraneoplastic tissues.
Conclusion
This study established a NAD + metabolism-related signature based on DNAJB13, CST2, THPO, CIDEA, ONECUT1, UPK1B, and SNCG, which is of great significance in developing prognostic molecular biomarkers, clinical prognosis prediction, and treatment strategy decision for GC patients.
A two-dimensional risk assessment method for oil and gas pipelines based on "accident probability - reputation loss"
Authors: chen xuefeng , chen wentao , Zhang YIfu , Peng Bin , Wang yuling , Xu mingwei 
Published: April 2023

Abstract
Oil and gas pipeline accidents not only caused personnel casualties, economic losses and environmental pollution, but also brought great panic to the public. In order to provide accurate accident prevention strategies, risk assessment (RA) has been widely used in the oil and gas pipeline industry. It aims to quantify the potential risk due to unexpected eventualities. However, the current RA methods mainly pay attention to the tangible risk (such as the human safety risk, economic risk and environmental risk), the intangible risk ( such as reputation loss risk) is often neglected. This cannot reflect the real risk for the oil and gas pipeline. To settle existing research limitation, a two-dimensional risk assessment method for oil and gas pipelines based on “accident probability - reputation loss” is proposed. The method mainly involves four steps, namely, risk identification, probability calculation, consequence assessment and risk assessment. The proposed method is used to quantitatively assess a natural gas pipeline in central China. Its results indicate that the pipeline risk is unacceptable. Therefore, this study can enrich and develop the current oil and gas pipeline RA method to reflect the real risk of oil and gas pipeline accidents.
A method of Gas sensor drift compensation based on intrinsic characteristics of response curve
Authors: Sun Yubing , Zheng Yutong 
Published: April 2023

Abstract
Sensor drift is an inevitable and challenging problem in gas sensing and an important problem in signal processing, as it seriously affects the detection performance and service life of sensor. In this study, a new sensor drift compensation method, which is based on intrinsic characteristic of sensory response, is proposed. The dataset for two different volatile organic compounds with a period of 36 months are employed and two kinds of features (one is steady-state feature, another is transient feature) are extracted. Their relationship is built and its change rule with sensor drift is explored. Then, drift compensation method is processed based on the change rule through iteration making the drifted sensor features adjusted to the value of month 1, which is considered as having no drift phenomenon. Moreover, the process is rapid. Finally, SVM is employed for proving the performance of the sensor drift compensation method proposed in this study. The results show the efficacy of 22 month of continuous monitoring, which has been enough for most application scenario, and almost 20% of increasement of correct classification rate of SVM after drift compensation, which indicates the effect of drift compensation method.
In-silico evaluation of the effect of set-up errors on dose delivery during mouse irradiations with a cell irradiator-based collimator system
Authors: Entezam Amir , Fielding Andrew , Ratnayake Gishan , Fontanarosa Davide 
Published: April 2023

Abstract

Set-up errors are a problem for pre-clinical irradiators that lack imaging capabilities. The aim of this study was to investigate the impact of the potential set-up errors on the dose distribution for a mouse with a xenographic tumour irradiated with a Gammacell irradiator equipped with an in-house lead collimator with 10 mm diameter apertures. The EGSnrc Monte-Carlo (MC) code was used to simulate the potential errors caused by displacements of the mouse in the irradiation setup. The impact of the simulated set-up displacements on the dose delivered to the xenographic tumour and surrounding organs was assessed. MC dose calculations were performed in a Computed Tomography (CT) derived model of the mouse for the reference position of the tumour in the irradiation setup. The errors were added into the CT data and then the mouse doses for the corresponding shifts were recalculated and dose volume histograms (DVHs) were generated. The investigation was performed for 1 cm and 0.5 cm diameter tumours. The DVH resulting from introducing the maximum setup errors for 1 cm diameter tumours showed up to 35% reduced dose to a significant fraction of the tumour volume. The setup errors demonstrated an insignificant effect on doses for 0.5 cm diameter tumour irradiations. Setup errors were observed to have negligible impact on out of field doses to organs at risk. The dosimetric results presented herein verify the robustness of our collimator system for irradiations of xenograft tumours up to 0.5 cm diameter in the presence of the maximum setup errors.
Enhanced Disease Detection for Potato Crop using CNN with Transfer Learning
Authors: Mishra Harsh , Pandey Vishal , Kothari Deep , Gharat Mihir , Salvi Loukik 
Published: April 2023

Abstract
Potatoes are ubiquitous and the fourth most consumed staple food in the world. Moreover, the demand is growing daily as a result of the global market. Diseases such as late blight and early blight greatly affect the quality and quantity of potatoes. Interpreting these diseases manually is cumbersome, making it more difficult to identify which potato leaves are infected with one of the diseases. Fortunately, the diseases of the potato leaves can be determined based on the leaf conditions. Using heavy architectures for convolutional neural networks, like GoogleNet, Resnet15, VGG16, and Xception, this suggested study introduces a method that uses deep learning to categorize the two varieties of illnesses and produces a precise classifier. In the first 40 CNN epochs, we were able to attain 97% accuracy, proving the viability of the deep neural network strategy.Also, a deeper analysis of various model building techniques like transfer learning, ensemble, and non-transfer techniques are done and by comparing their accuracy scores the better technique suited for this problem statement is justified.
Abnormal Chromatin Remodeling Caused by ARID1A Deletion Leads to Malformation of the Dentate Gyrus
Authors: Liu Chang-Mei , Liu Pei-Pei , lu Shi-Ping , Li Xiao , Tang Gang-Bin , Liu Xiao , Dai Shang-Kun , Jiao Lin-Fei , Lin Xi-Wen , Li Xing-Guo , Teng Zhao-Qian , Han Chunsheng 
Published: April 2023

AbstractARID1A, an SWI/SNF chromatin-remodeling gene, is commonly mutated in cancer and hypothesized to be a tumor suppressor. Recently, loss-of-function of ARID1A gene has been shown to cause intellectual disability. Here we generateArid1aconditional knockout mice and investigateArid1afunction in the hippocampus. Disruption ofArid1ain mouse forebrain significantly decreases neural stem/progenitor cells (NSPCs) proliferation and differentiation to neurons within the dentate gyrus (DG), increases perinatal and postnatal apoptosis, leading to reduced hippocampus size. Moreover, we perform single-cell RNA sequencing (scRNA-seq) to investigate cellular heterogeneity and reveal thatArid1ais necessary for the maintenance of the DG progenitor pool and survival of post-mitotic neurons. Transcriptome and ChIP-seq analysis data demonstrate that ARID1A specifically regulatesProx1by altering the levels of histone modifications. Overexpression of downstream targetProx1can rescue proliferation and differentiation defects of NSPCs caused by Arid1a deletion. Overall, our results demonstrate a critical role forArid1ain the development of the hippocampus and may also provide insight into the genetic basis of intellectual disabilities such as Coffin–Siris syndrome, which is caused by germ-line mutations or microduplication ofArid1a.
Use of Remote Sensing Techniques to Assess Water Storage Variations and Flood-Related Inflows for the Hawizeh Wetland
Authors: Alawadi Wisam , Raheem Zahraa A. , Yaseen Dina A. 
Published: April 2023

Abstract
High spatial and temporal resolution remote sensing data are becoming readily available. This has made use of remote sensing to monitor and quantify spatiotemporal changes in surface waters feasible and efficient. In this paper, the remote sensing techniques which based on the spectral indices has been used to assess the changes in the submerged areas and water storages in the Hawizeh marsh (south of Iraq) during the 2019 f1ood. Two spectral indices; normalized difference water index (NDWI) and normalized difference moisture index (NDMI) were used for this purposes. Non-measured flood-related flows into the marsh has also been estimated through applying the water balance approach. The accuracy assessment made to the water areas extracted by the remote sensing indices showed an acceptable level of accuracy which reflected positively on the water inflows calculations. As the Hawizeh is transboundary marsh shared by Iraq and Iran, the remote sensing techniques allowed for the estimation of difficult-to-measure inflows from the Iranian side. The results of the water balancing revealed that the inflows from Iranian side to the marsh during the 5 months of the flood made up about 41.2% from the total water volume entering into the marsh.
Examining the effectiveness of the case study method to access attitudes toward palliative care among healthcare university students
Authors: Nakamura Megumi , Kukimoto Yukiko , Kobayashi Taeko , Maeda Kaoru , Fujiwara Makiko , Masuyama Shoko , Yasui Nagisa , Imai Shinya , Kano Hiroya , Maekawa Yoshihiro 
Published: April 2023

Abstract
Background
Palliative care requires a culture of collaboration between healthcare professionals. Interprofessional education (IPE) can improve attitudes toward interdisciplinary teamwork and teamwork skills of healthcare students. This study aimed to assess the effect of a case study with a multi-disciplinary group discussion on students' attitudes to palliative care and their teamwork skills.
Methods
This pretest–posttest study was conducted as part of a mandatory course comprising 15 lectures for third-year students in a university in Japan. The participants were recruited at the beginning of the course. Students were assigned 18 different cases and created care plans based on their professional perspectives. The intervention group involved the EOL case, while the control group involved other cases. Data were collected before and after students participated in the case study. Three primary surveys were administered before and after the case study: Frommelt Attitude Toward Care of the Dying Scale Form B Japanese version (FATCOD-B-J), Readiness for Interprofessional Learning Scale (RIPLS), and Death Attitude Inventory (DAI). The Shapiro-Wilk test was used for assessing normality of the distribution. We examined the pre- and post-intervention changes in each outcome and the post-intervention group differences.
Results
We received 169 completed questionnaires. Comparisons of change between groups showed no significant differences. FATCOD-B-J for the EOL group showed significant differences; the post-intervention outcome increased in the perceptions of patient- and family-centered care. RIPLS scores of both groups significantly increased at the post-intervention outcome in the subcategory of teamwork and collaboration.
Conclusions
For pre-licensure healthcare students, the EOL case study with multidisciplinary group discussions is an effective approach to enhance students’ skills and knowledge about the needs of EOL patients and their family. Case studies are also a straightforward learning method to help students learn to work in interprofessional teams. We assume that the results of this study are highly feasible and versatile.