bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Least-Squares Image Matching Method for Precise 3D Registration of Airborne LiDAR Data and High-Resolution Satellite Images
Authors: Safdarinezhad Alireza 
Published: December 2022

Abstract

3D registration of high-resolution satellite imagery (HRSI) and airborne LiDAR data can be done by the availability of some matched positions for estimating the 3D transforms such as 3D affine or rational functions. The main idea of this paper is the estimation of the 3D registration parameters (here, the 3D Affine) based on the Least-Squares Image Matching (LSIM) method. Traditionally, in the LSIM method, the sum of squares of differences between the matched gray values are minimized by simultaneously estimating a geometric and a radiometric transformation between the matched positions. Although this method is known as a local strategy for matching the perspective images; it has been adapted here as a global strategy for matching between HRSI and LiDAR data. Hence, the proposed method exploits the whole of the overlapped regions between the LiDAR data and the HRSI to find the parameters of a transformation to relate the 3D LiDAR data and the 2D HRSI. Considering the cost function of the LSIM method, the radiometric similarity of the HRSI and LiDAR data has also increased by adding the shadows and topographic effects to the LiDAR intensity data to be act as a proper entity in matching with the HRSI. The LSIM is done through the solving an equation system of nonlinear equations that is sensitive the initial values of the unknowns. The results indicate that the accurate 3D registrations with the one-pixel precisions can be accessible even when the approximate geometric transformations are used as the initial parameters.
Status, associated factors, and reasons for bypassing the childbirth center among postpartum women in the Dire Dawa Administration, Ethiopia: A Mixed Study
Authors: Mohammed Aminu , Hailu Mickiale , Getnet Tewodros , Manaye Yibekal 
Published: December 2022

Abstract
Background: Obstetrics care in a nearby health facility is an important strategy to reduce maternal and child complications, including death during childbirth. Bypassing the nearby birthing health facility is common in developing countries, including Ethiopia. But, in Ethiopia and the study area, little is known about the extent, determinants, and reasons for bypassing them. Therefore, this study was aimed at assessing all these gaps, which are an important indicator of the quality of obstetrics care that the health system needs to address.
Methods: A facility-based mixed (quantitative cross-sectional and phenomenological qualitative) study was conducted at selected public health centers in Dire Dawa city from December 01 to 30, 2022. A simple random sampling technique was used to select 635 participants for the quantitative study and purposive sampling for the qualitative study. Data were collected through face-to-face interviews using a pre-tested structured questionnaire and semi-structured questions for in-depth interviews. Quantitative data were entered and cleaned by Epi DATA (Version 3.1) and analyzed using SPSS (Version 22). A P-value < 0.25 at bivariate to select variables for multivariate and ≤ 0.05 at multivariate with 95% confidence intervals was considered statistically significant. Qualitative data were analyzed using thematic analysis using open-source software.
Results: 635 postpartum women for quantitative and twelve participants for qualitative were included. At childbirth centers, the overall bypass rate was 30.9% (95% CI: 27.1%–34.55 %).
A higher age group (AOR = 2.34, 95% CI: 1.43–3.82), rural residence (AOR = 1.89, 95% CI: 1.11-3.22), no formal education (AOR = 2.26, 95% CI: 1.23–4.16), obstetric care needs during antenatal care (AOR = 2.37, 95% CI: 1.33–4.22), and health professionals’ behavior (AOR = 2.37, 95% CI: 1.33–4.22) and health professionals’ behavior (AOR = 3.10, 95% CI: 1.99–4.78) were associated with a higher likelihood of bypassing. Health care facility, personal perception, and health care worker-related factors were the main identified themes in the qualitative results.
Conclusion: The extent of bypassing the nearby childbirth health facility was moderate and associated with women’s age, education, resident area, obstetrics care during antenatal visits, and health care workers’ approaches. In the qualitative analysis, three major themes emerged for the reasons for bypassing a nearby childbirth health facility: the health care facility, health professionals, and service users’ perception-related reasons. Stakeholders were advised to increase obstetrics services (supplies, equipment), respectful care, and education while taking pregnant women's residence and education level into account, as well as conduct additional community-based research.
Zinc Deficiency Induces Endoplasmic Reticulum Stress Leading To Hepatocyte Apoptosis in Mice
Authors: Cui Jie , Wang Fuhan , Deng Xian , Guo Mengyao 
Published: December 2022

Abstract
Zinc (Zn) is a crucial trace element for the organism. We investigated Zn deficiency causing endoplasmic reticulum stress and apoptosis by establishing a mouse Zn deficiency model (34 mg/kg in CG group and 2 mg/kg in LG group) and hepatocyte Zn deficiency model (add 0 umol TPEN in CCG group, add 50 umol TPEN in C50 group, add 100 umol TPEN in C100 group). The Zn deficiency caused oxidative stress and produced a large amount of ROS, which had a greater effect on the endoplasmic reticulum and caused endoplasmic reticulum stress. HE staining, liver tissue showed more inflammatory cell infiltration, and TUNEL showed that more apoptotic cells appeared in the LG group compared with the CG group. In RT-PCR assay, we found that the expression of GRP78, IRE-1α, ATF6, PERK, and Chop gene increased in the Zn deficiency group, and caspase-12, caspase-9, caspase-3, caspase-7, PARP apoptotic gene expression were increased. In the apoptosis assay, AO/EB staining clearly showed an increase in apoptotic cells in the Zn-deficient group. Our study provides some basis for the effects of trace element Zn on the liver in terms of endoplasmic reticulum stress.
Increasing the follow-up rate of preterm infants after discharge: a quality improvement project in a Chinese neonatal clinic
Authors: Chang Hesheng , Qin Xuanguang , Yang Xue , Wen Ying , Fu Xiaoyan , Huang Shuxia , Li Zhenghong 
Published: December 2022

Abstract
Objective
Adopting the methodology of quality improvement (QI) to explore the multiple interventions to increasing the follow-up rate of preterm infants and evaluate the effect of these QI interventions.
Methods
The quality improvement method based on statistical process control was used in this project. The baseline was measured per week from March to May 2017 according to the follow-up rate of preterm infants before the interventions, further, the specific aim of improvement was determined. The Pareto analysis of follow-up failure and the key driving diagram was constructed. The intervention measures were synchronized to monitor the change of weekly follow-up rate through the control chart until the QI goal was achieved.
Results
The baseline of follow-up rate was 57.92%, and the aim of the QI project was to increase the follow-up rate to 80% within 12 months. Major interventions included optimizing follow-up platform, strengthening family follow-up education and improving follow-up clinic service ability. The control chart showed that the follow-up rate increased to 74.09% in July 2017 and to 83.09% in December 2017 with a series of interventions and achieved the aim of QI. This improvement had been sustained for 6 months.
Conclusion
Our QI project increased the follow-up rate of preterm infants significantly. Interventions according to analysis of follow-up failure, such as strengthening family follow-up education and improving follow-up clinic service ability, could improve follow-up of preterm infants.
Multiplicity of solutions for sub-Laplacian systems involving Hardy-Sobolev critical exponents on Carnot groups
Authors: Zhu Shuhai , Zhang Jinguo 
Published: December 2022

Abstract
In this work, we deal with the multiplicity results for sub-elliptic systems on Carnot group $\mathbb{G}$ with Hardy-Sobolev critical nonlinearities
\begin{equation*}\left\{\aligned &-\Delta_{\mathbb{G}}u-\mu_{1}\frac{\psi^{2}u}{d(z)^{2}}=\lambda_{1}\frac{\psi^{\alpha}|u|^{2^*(\alpha)-2}u}{d(z)^{\alpha}}+\beta p_{1}f(z)\frac{\psi^{\gamma}|u|^{p_{1}-2}u|v|^{p_{2}}}{d(z)^{\gamma}}\,\,\, &\text{in } \,\,\mathbb{G},\\ &-\Delta_{\mathbb{G}}v-\mu_{2}\frac{\psi^{2}v}{d(z)^{2}}=\lambda_{2}\frac{\psi^{\alpha}|v|^{2^*(\alpha)-2}v}{d(z)^{\alpha}}+\beta p_{2}f(z)\frac{\psi^{\gamma}|u|^{p_{1}}|v|^{p_{2}-2}v}{d(z)^{\gamma}}\,\,\, &\text{in } \,\,\mathbb{G}, \endaligned\right.\end{equation*}
where −∆G is a sub-Laplacian on Carnot group G, µ1, µ2 ∈ [0, µG), µG = ( Q−2/2 )2 is the best Hardy constant on G, 0 ≤ α < 2, 0 ≤ γ < 2, λ1, λ2, β are positive parameters, p1, p2 > 0 with 1 < p1 + p2 < 2, 2* (α) := 2(Q−α)/Q−2 being the critical Hardy-Sobolev exponents on G, Q is the homogeneous dimension with respect to the dilation δγ naturally associated with −∆G, d is the natural gauge associated with the fundamental solution of −∆G on G, ψ = |∇Gd| and ∇G is the horizontal gradient associated with ∆G. By using the second concentration-compactness pribciple and concentration-compactness principle at infinity to prove that the (PS)c-condition holds locally and together with the new version of symmetric mountain pass theorem of kajikiya, we prove that the problem admits infinitely many solutions under suitable conditions.
Scaling Invariance of Spatial Autocorrelation in Urban Landscape
Authors: Fu Meng , Chen Yanguang 
Published: December 2022

Abstract
Context
A large number of studies have shown that measures of spatial autocorrelation in urban landscape bear scale dependence. Scale dependence generally suggests fractals and scaling. But the inherent relationships between spatial autocorrelation index and fractal dimension is not clear yet.
Objectives
This paper is devoted to revealing the internal relationship between the scale dependence of Moran’s I and fractal scaling.
Methods
Mathematical reasoning and empirical analysis are employed to derive and test the model on the scale dependence of spatial autocorrelation. The fractal dimension estimation is based on box-counting method, and parameter estimation relies on the least squares regression.
Results
Based on the locality postulate of spatial correlation and the idea of multifractals, a power law model on Moran’s I changing with measurement scale is derived from the principle of recursive subdivision of space. The power exponent is proved to be a function of fractal dimension. This suggests that the numerical relationship between Moran’s I and fractal dimension can be established through the scaling process of granularity. Taking the cities of Beijing, Shanghai and Guangzhou in China as examples, we made an empirical analysis with observation data, and the results lend support to the theoretical model.
Conclusions
It can be concluded that spatial autocorrelation of urban landscape has no characteristic scale in many cases. In order to make effective spatial statistical analysis, it is necessary to explore spatial complexity based on fractal scaling behind urban landscape.
A VAE-based Model for Incomplete Time Series Modeling using a Time-aware Encoder and Neural ODEs
Authors: Chang Zhuoqing , Liu Shubo , Qiu Run , Song Song , Cai Zhaohui , Tu Guoqing 
Published: December 2022

Abstract
Internet of Things (IoT) realizes the ubiquitous connection of all things, sensors of which produces countless data with time tags. Quality of time series data become increasing important when effectively mined to inform decision making towards solving practical problems. However, time series are often incomplete as a result of missing values or being sampled at irregular frequencies. Yet, traditional algorithms fail to directly model such incomplete time series data. The preprocess of missing data imputing destroys time step information, and the deviation data will additionally bring error accumulation to the subsequent model. To this end, this paper presents an improved variational autoencoder (VAE) model coupled with a time-aware LSTM encoder and neural ordinary differential equations (ODEs) for incomplete time data modeling, which is named the Time-Recurrent Variational AutoEncoder ODE (TRVAEODE) model. In this model, continuous-time latent dynamics are generated by Neural ODEs based on the initial state learned by the time-aware LSTM encoder from partial observed data, further enabling conduct data imputation and prediction with higher accuracy. Furthermore, the proposed TRVAEODE model is evaluated on incomplete real-world and synthetic time-series datasets by conducting data interpolation and extrapolation tasks as well as classification task. Extensive experiments show the TRVAEODE model outperforms the baseline methods in terms of Mean Square Error (MSE) in tasks of imputation and prediction as well as accuracy in downstream classification task.
Novel probe based on rhodamine B and quinoline as a naked-eye colorimetric sensor for dual sensing of heavy metals and hypochlorite as a biosensing and bioimaging agent
Authors: Hooshmand Seyyed Emad , Baeiszadeh Behnaz , Mohammadnejad Masoumeh , Ghasemi Razieh , Darvishi Farshad , Shiri Morteza , Hussain Faiq H. S. 
Published: December 2022

Abstract
This work demonstrated the design and straightforward syntheses of several novel probe-based on rhodamine B and 2-mercaptoquinoline-3-carbaldehydes as a naked-eye colorimetric sensor, indicating a sensitive and selective recognition towards nickel (II) with a limit of detection 0.15 µmol mL− 1 (0.01 mg L− 1). Further, by employing the oxidation property of hypochlorite (OCl−), this novel sensor parallelly has been deployed to detect hypochlorite in laboratory conditions with a limit of detection of 0.19 µmol mL− 1 and in living cells. Regarded to negligible cell toxicity toward mammalian cells, this novel sensor has the potential to determine these analytes in in-vivo investigation and foodstuff samples.
Monitoring of Urea Concentration in Drip Fertirrigation
Authors: Kepp¹ Naila Cristina , Boas¹ Marcio Antonio Vilas , Haupenthal¹ Soni William , Cossich¹ Vinicius , Lopes Allan Remor , Andrade² Mauricio Guy 
Published: December 2022

Abstract
Topographic slope negatively affects irrigation uniformity when associated with fertilizer application via irrigation water. The concentration of the injection solution at the emitter outlet can adversely affect the uniformity of the drip system. Therefore, the objective was to evaluate the ideal concentration that maintains high levels of uniformity for the nitrogen solution, applied via fertigation, in different concentrations of the injection solution, with different levels of slope. The experiment was conducted out in a protected environment at the Laboratory of Irrigation and Fertigation (LIF), Cascavel-, PR. The experimental design was conducted out in randomized blocks in a 4x3 factorial scheme, in which the concentration of fertilizer was evaluated at three levels of slope: with plots divided into two factors, the main factor being the type of water, represented by four plots: clean water (from artesian well) and water with nitrogen fertilizer, urea (44% N) in three concentrations (2 g L-1; 4 g L-1; 6 g L-1); and as a second factor, the slope levels, represented by the subplot: level (0%), uphill of 2% and downhill of 2%. The addition of 4 g L-1 urea concentration affected the uniformity at all slope levels, presenting values for UD< 90%, observed in the Shewhart control chart. The increase in urea concentration by 6 g L-¹ affected the distribution uniformity of the system in level, with values for UD< 70%. The system was able to apply concentrations up to 2 g L-1 in level, presenting Cpl = 2.86.
Enhancing blue-green infrastructure in German cities with the involvement of urban society: insights from Frankfurt/Main and Stuttgart
Authors: Winker Martina , Deffner Jutta , Rohrbach Michaela , Schramm Engelbert , Stein Melina 
Published: December 2022

AbstractEnhancing blue-green infrastructure (BGI) will help cities adapt to climate change. This study focused on urban society, specifically on residents, the housing and real estate sector, and municipal administration in the cities of Frankfurt and Stuttgart, and investigated ways to enhance BGI in line with their perceptions, expectations and requirements. A particular emphasis was placed on periods of hot, dry weather. During future workshops, actor analysis, expert interviews and two expert workshops, the positions, level of knowledge and attitudes of the various groups were examined and barriers to BGI identified, in addition to discussions about measures to overcome these barriers. The results showed that within urban society the greatest support for BGI comes from residents, followed by municipal employees, while actors in the housing and real estate sector are the most reluctant. It became evident that there is a need for action to overcome a range of barriers. Overall, political backing, alliances between stakeholders, encouragement of the housing and real estate sector to take action, and a focus on initiating action in selected urban areas are recommended for successful enhancement of BGI. To ensure maximum impact, there should also be a combination of bottom-up and top-down activities.
Sex, Age, and Regional Differences in CHRM1 and CHRM3 Genes Expression
Levels in the Human Brain Biopsies: Potential Targets for Alzheimer's
Disease-related Sleep Disturbances
Authors: Sanfilippo Cristina , Giuliano Loretta , Castrogiovanni Paola , Imbesi Rosa , Ulivieri Martina , Fazio Francesco , Blennow Kaj , Zetterberg Henrik , Di Rosa Michelino 
Published: December 2022

Background:
Cholinergic hypofunction and sleep disturbance are hallmarks of Alzheimer’s
disease (AD), a progressive disorder leading to neuronal deterioration. Muscarinic acetylcholine
receptors (M1-5 or mAChRs), expressed in hippocampus and cerebral cortex, play a pivotal
role in the aberrant alterations of cognitive processing, memory, and learning, observed in AD. Recent
evidence shows that two mAChRs, M1 and M3, encoded by CHRM1 and CHRM3 genes, respectively,
are involved in sleep functions and, peculiarly, in rapid eye movement (REM) sleep.

Methods:
We used twenty microarray datasets extrapolated from post-mortem brain tissue of nondemented
healthy controls (NDHC) and AD patients to examine the expression profile of CHRM1
and CHRM3 genes. Samples were from eight brain regions and stratified according to age and sex.

Results:
CHRM1 and CHRM3 expression levels were significantly reduced in AD compared with ageand
sex-matched NDHC brains. A negative correlation with age emerged for both CHRM1 and
CHRM3 in NDHC but not in AD brains. Notably, a marked positive correlation was also revealed between
the neurogranin (NRGN) and both CHRM1 and CHRM3 genes. These associations were modulated
by sex. Accordingly, in the temporal and occipital regions of NDHC subjects, males expressed
higher levels of CHRM1 and CHRM3, respectively, than females. In AD patients, males expressed
higher levels of CHRM1 and CHRM3 in the temporal and frontal regions, respectively, than females.

Conclusion:
Thus, substantial differences, all strictly linked to the brain region analyzed, age, and
sex, exist in CHRM1 and CHRM3 brain levels both in NDHC subjects and in AD patients.
In silico Prediction and Evaluation of Human Parainfluenza Virus-3 CD4+
T Cell Epitopes
Authors: Bemani Peyman , Mohammadi Mozafar 
Published: December 2022

Background:
Human parainfluenza viruses type 3 (HPIV-3) through bronchiolitis and
pneumonia is a common cause of lower respiratory tract infections. It is the main cause of
hospitalization of infants and young children and also one of the main causes of morbidity and
mortality in immuno-compromised and transplant patients. Despite many efforts, there is currently
no specific anti-HPIV-3 drug or approved vaccine to prevent and control the virus. Identification
of HPIV-3 epitopes with the capability of binding to human leukocyte antigen (HLA) class II
molecules can be helpful in designing new vaccine candidates against HPIV-3 infection, and also
can be useful for the in vitro stimulation and proliferation of HPIV-3-specific T cells for transplant
and immunocompromised patients.

Objective:
To predict and comprehensively evaluate CD4+T cell epitope (HLA-II binders) from
four main HPIV-3 antigens.

Method:
In the present work, we predicted and comprehensively evaluated CD4+T cell epitope
(HLA-II binders) from four main HPIV-3 antigens, including fusion protein (F), hemagglutininneuraminidase
(HN), nucleocapsid (N) and matrix (M) proteins using bio- and immunoinformatics
software. The toxicity, allergenicity, Blast screening and population coverage of the
predicted epitopes were evaluated. The binding ability of the final selected epitopes was evaluated
via a docking study.

Results:
After several filtering steps, including blast screening, toxicity and allergenicity assay,
population coverage and docking study, 9 epitopes were selected as candidate epitopes. The
selected epitopes showed high population coverage and docking studies revealed a significantly
higher binding affinity for the final epitopes in comparison with the negative control peptides.

Conclusion:
The final selected epitopes could be useful in designing vaccine candidates and for
the treatment of immune-compromised individuals and patients with transplantation.
Ensuring Safe Transfusion Practices through Haemovigilance: India vis-a-vis
Global Scenario
Authors: Rana Ruhi , Veluri  Kishore Sastha Ram , Kaur Gagandeep , Singh Gurvinder , Kumar Rajesh 
Published: December 2022

Abstract:
Haemovigilance is the monitoring of the essential components of blood transfusion from
its initial stages to the final outcome considering all the safety parameters and hazards that co-exist
with it. It primarily aims to ensure the quality as well as safety related to the use of blood and
blood products utilizing the standard healthcare framework and a tailored vigilance program for efficient
outcomes. Initially, the art of vigilance was started with the therapeutic products available in
the market giving some groundbreaking data on their safety which later led to the implementation
of timely measures to control adverse events significantly. Several incidents have occurred during
the collection, transport, storage, and transfusion of blood and to stop these incidences of hazard,
haemovigilance came into existence with France becoming the first country to step in followed by
several nations across the world with customized guidelines directing it to the best. The majorly
reported problems include bacterial infections, hemolytic and immune reactions. The present writeup
reviews the inception and development of haemovigilance programs with a global scenario, a
detailed study of the haemovigilance program adopted in India, and the updated status of these
programs in various countries across the globe.