bluuebunny/crossref_metadata_2025_split huggingface dataset:
Machine learning based digital mapping of soil properties in mid-Himalayan terrain
Authors: Rengma Nyenshu Seb , Yadav Manohar , Kalambukattu Justin George , Kumar Suresh 
Published: May 2023

Abstract
Soil physico-chemical properties influence ecosystem services and subsequently human’s lives, therefore soil information is crucial for promoting sustainable land use and ensuring the long-term health and productivity of soils. In environmentally vulnerable regions like the Himalayas, where rapid socio-economic development is seen and expected to grow, it is imperative to precisely map the soil information in the landscape to protect and manage it sustainably. The demand for applying artificial intelligence to automate a variety of tasks for its ability to learn and analyze large datasets has enabled the applications of different machine learning methods for digital soil mapping (DSM) approach. Despite the growing number of ML algorithms used in DSM, no studies have used preprocessing technique like resampling for soil datasets for supervised ML regression model. The main objective of this study is the mapping and analyses of soil texture and organic carbon mapping using a random forest regression (RFR) model of an area in the mid-Himalayas by employing more than 100 environmental covariates. The study uses gaussian noise up-sampling technique to resample the small imbalanced soil datasets from the highly undulating terrain, resulting in significantly accurate maps. Model performances, evaluated against an unknown dataset were significant with an R-square of 0.80, 0.79, 0.72, and 0.84 for clay, sand, silt, and SOC, respectively, and their respective mean absolute error and root mean square error are reported. Further, sensitivity analysis of the environmental covariates contributing to the model resulted in effective contribution of all the soil forming factors.
Systematic analysis of fertility and clinical outcomes of assisted reproductive technology in Chinese patients with autosomal dominant polycystic kidney disease
Authors: wang liang , Liu Yan , Pang Wenjuan , Wang Xiang , Hu Yu , Li Zhaodi , Sun Ningxia 
Published: May 2023

Abstract
This study attended to systematically analyze the patients’ fertility and clinical outcomes of ART who suffered with ADPKD. Methods: 61 couples who underwent PGT-M at our Centre from January 2015 to July 2021 were selected for retrospective analysis. Patients were divided into Group Aand B.
Results: Our data showed the high-quality embryo rate of Group A was higher than that of Group B (70.1% vs.51.3%, P<0.05), indicating that the PKD gene may have affected their fertility. In frozen-thawed embryos transfer (FET) cycles, no significant differences were found in clinical pregnancy rate, the abortion rate, and live birth rate between the two groups (P > 0.05). The analysis of fertility-related data showed that there was no significant correlation by further comparing the ADPKD gene mutation sites, and no significant difference in the euploidy rate of embryos between Group A and B (66.7% vs. 72.6%, P > 0.05).
Conclusion: The ADPKD gene was not significantly associated with patients' good-quality embryo rates. Although male patients who suffered from ADPKD showed a higher proportion of teratospermia and severe oligoasthenospermia,which resulted in a lower good embryo quality rate, the euploidy rate of embryos or clinical outcome of ART was not significantly affected.
An Innovative Smart Android App Solution for Improved University Management
Authors: Joshi Rohit Chandra Joshi Rohit Chandra , Patel Vivek Raj Patel Vivek Raj , Mishra Abhijeet Mishra Abhijeet , Kumar Sandeep Kumar Sandeep 
Published: May 2023

Abstract
In this era of technology, it is needed for us to be wittier than technology and upgrade with time, in every university or college it is a rigorous task to take attendance, create timetables, show timetables, and show student marks. Previously register was used to mark attendance then with technology MS excel and other applications came in and made attendance much easier to store but it is not enough now we need more efficiency and more functionality in one place. In this paper we provide an efficient way to solve all this using a web application as well as a mobile application for students to view their attendance and teachers to mark their attendance by face recognition and can check marks, and upload marks, Students can check their attendance by selecting a particular date, and teachers can check attendance for a particular student on which date they are present, and attendance for each student will be marked in that slot for the day, also the teacher can fetch the detail of those students who bunked the classes, each student can look over their marks after logging in and selecting the marks module, the timetable will be updated and mapped with attendance so that face attendance can be mapped with each slot.
Research of radioactivity level around Daya Bay Nuclear Power Base
Authors: Feng jiangping , Zhang Jinfan , Guo Jianfeng , Liu Yan 
Published: May 2023

Abstract
In order to assess the impact of Daya Bay Nuclear Power Base on the surrounding environment during its operation, the radioactive level of the surrounding environmental media was monitored and investigated according to the monitoring standard (HJ 61-2021). The monitoring results show that during the operation of Daya Bay Nuclear Power Base, the radioactivity level of the surrounding environmental media is at the natural background level. The nuclear power base did not cause radioactive pollution to the surrounding environment. The research results provide technical support for nuclear emergency response and data basis for evaluating the impact of Fukushima radioactive waste water.
Мulticomponents of spin-spin relaxation, anisotropy of the echo decay, and nanoporous sample structure
Authors: Aptekarev Theodore , Furman Gregory , Sokolovsky Vladimir , Panich Alexander , Xia Yang 
Published: May 2023

AbstractWe have experimentally and theoretically investigated multicomponent1H nuclear magnetic resonance (NMR) echo decays in a-Si:H films containing anisotropic nanopores, in which randomly moving hydrogen molecules are entrapped. The experimental results are interpreted within the framework of the previously developed theory, in which a nanoporous material is represented as a set of nanopores containing liquid or gas, and the relaxation rate is determined by the dipole–dipole spin interaction, considering the restricted motion of molecules inside the pores. Previously, such characteristics of a nanostructure as the average volume of pores and their orientation distribution were determined from the angular dependences of the spin–spin and spin–lattice relaxation times. We propose a new approach to the analysis of the NMR signal, the main advantage of which is the possibility of obtaining nanostructure parameters from a single decay of the echo signal. In this case, there is no need to analyze the anisotropy of the relaxation time T2, the determination of which is a rather complicated problem in multicomponent decays. Despite multicomponent signals, the fitting parameter associated with the size and shape of nanopores is determined quite accurately. This made it possible to determine the size and shape of nanopores in a-Si:H films, herewith our estimates are in good agreement with the results obtained by other methods. The fitting of the decays also provides information about the nanostructure of the sample, such as the standard deviations of the angular distribution of pores and the polar and azimuthal angles of the average direction of the pore axes relative to the sample axis, with reasonable accuracy. The approach makes it possible to quantitatively determine the parameters of the non-spherical nanoporous structure from NMR data in a non-destructive manner.
Inequities and trends of polio immunization among children aged 12-23 months in Ethiopia: A multilevel analysis of Ethiopian Demographic and Health Survey
Authors: Fekadu Hailu , Mekonnen Wubegzier , Adugna Aynalem , Kloos Helmut , Hailemariam Damen * 
Published: May 2023

Abstract
Introduction: Despite Ethiopia’s policy intension to provide recommended vaccination services to underprivileged populations, inequity in polio immunization persist. Objective: This study examined inequity and trends in polio immunization and determinant factors among children age 12–23 months in Ethiopia between 2000 and 2019. Methods: Cross-sectional data from 2000, 2005, 2011, 2016 and 2019 Ethiopian demographic and health surveys were analyzed with the updated version of the WHO’s Health Equity Assessment Toolkit (HEAT) software. Six standard equity measures: equity gaps, equity ratios, population attributable risk, population attributable fraction, slope index of inequality and relative index of inequality were used. Datasets were analyzed and disaggregated by the five equality stratifiers: economic status, education, place of residence, sex of the child and regions. And multilevel logistic regression analysis was used to identify determinant factors. Results: Polio immunization coverage 34.5% (2000), 44.7% (2005), 44.3% (2011), 56.4% (2016) and 60.0% (2019). Wealth index-related inequity in coverage of polio immunization between quintiles 5 and 1were greater than 20 percentage points or higher for all surveys. The population attributable risk and population attributable fraction measure in 2011 indicate that the national polio immunization coverage in that year could have been improved by nearly 36 and 81 percentage points respectively if absolute and relative wealth driven inequity, respectively, had been avoided. Coverage varied across regions; the absolute difference between Addis Ababa and Afar Region in polio immunization was 74 percentage points in 2000 and 60 percentage points in 2019. At the individual level, factors like Wealth index, maternal education antenatal care (ANC), and place of deliver were showed statistical significance. At the community level region and place of residence significantly influence equity in polio immunization. Conclusion: Although polio immunization coverage gradually increased over time, in the 20-year survey periods, inequities in coverage by wealth, educational-status, urban-rural residence and administrative regions persisted. Increasing service coverage and improving equitable access to immunizations services may narrow the existing inequity gaps.
Phosphorus recovery from pig manure fermentation supernatant by pH enhanced anaerobic fermentation and vivianite crystallization
Authors: Chen tengshu , song xingfu , Xing mengyao 
Published: May 2023

Abstract
Taking pig manure as the research object, anaerobic fermentation was carried out through different pH adjustments to collect phosphorus -rich supernatant. Under acidic conditions, the effect of promoting phosphorus(P) release was better. The highest Total P (TP) content in the supernatant was 1.46 times that of the control group(NC), and the highest PO43−-P content was 1.71 times that of the control group. Under alkaline conditions, the effect of alkali promoting P release is poor, the maximum TDP content is only 0.89 times of that of the control group, and the maximum PO43− P content is only 0.94 times of that of the NC. The fermentation supernatant was treated in a two-chamber electrolytic tank, and more than 90% of P was recovered, and 84.66% purity of vivianite was obtained.
Survey of Wastewater Issues Due to Oil Spills and Pollution in the Niger Delta Area of Nigeria: A Secondary Data Analysis
Authors: Ewim Daniel , Orikpete Ochuko F , Scott Temiloluwa O. , Onyebuchi Chisom N , Onukogu Amanda O , Onunka Chiemela 
Published: May 2023

Abstract

This paper presents a comprehensive analysis of the issue of wastewater due to oil spills and pollution in the Niger Delta region of Nigeria, which has led to significant environmental and socioeconomic consequences for local communities. The study employed a secondary data collection approach, drawing on various sources, including published research articles, reports, official records, and satellite imagery. Through a systematic review and synthesis of the available literature, the paper identified key challenges, mitigation and remediation strategies, policy recommendations, and areas for future research. The findings of this study revealed that the existing regulatory framework has not been fully effective in preventing and addressing oil spills and pollution in the Niger Delta region due to factors such as weak enforcement, inadequate resources, and overlapping responsibilities among regulatory agencies. Moreover, existing measures for oil spill response, clean-up, compensation, and remediation have had limited success, leaving affected communities to continue suffering from the impacts of oil spills and pollution. The paper highlights the potential of innovative approaches and technologies, such as advanced oil spill detection and monitoring technologies, bioremediation, and renewable energy, to enhance the effectiveness of mitigation and remediation efforts. Furthermore, the study emphasizes the importance of collaboration and cooperation among various stakeholders, including government agencies, oil companies, local communities, civil society organizations, and international partners, in addressing the challenges posed by oil spills and pollution in the Niger Delta region. Based on the findings, the paper presents several policy recommendations, such as strengthening the regulatory framework, enhancing transparency and accountability, promoting community participation and empowerment, and encouraging investment in sustainable development and clean technologies. These recommendations aim to inform and inspire policymakers, practitioners, and stakeholders to develop and implement effective strategies for mitigating and remediating the adverse impacts of oil spills and pollution on the environment, local communities, and the Nigerian economy. Finally, the paper identified several areas for future research, including the effectiveness of specific regulatory tools and enforcement mechanisms, the long-term impacts of oil spills and pollution, the potential of emerging technologies, the role of corporate social responsibility initiatives, the impact of public awareness campaigns and educational programs, and the effectiveness of international partnerships and collaborations.
Government High Education Policy in a Dual Economy: Developing versus Developed Country
Authors: Strawczynski Michel 
Published: May 2023

Abstract
By simulating social planner's optimal redistributive policy, this paper analyzes government's high education policy in a dual economy composed by skilled workers that invest in education and unskilled workers that do not. In a developed economy, characterized by an equilibrium with low educational costs, the government subsidizes high education and maximizes output, allowing for substantial tax revenues that are re-distributed through transfers to the unskilled. In contrast, a developing economy is submerged in a bad equilibrium, avoiding subsidizing high education at the expense of increasing output; by acting this way, the government succeeds on performing substantial re-distribution, obtaining higher social utility that is inclusive of unskilled workers. When the developing economy is trapped in a bad equilibrium, I show that its situation can be improved by receiving a designated high-education subsidy from an international institution.
JEL Classifications: H21
Surgical options for distal radius fractures in elderly patients over 65 years old: A comparison of external fixation and volar locking plate
Authors: Zhang He , Liu Man , Duan Si-Yu , Liang Hai-Rui , Xu Rong-Da , Cai Zhen-Cun 
Published: May 2023

Abstract
Background Due to the lack of consensus on the optimal surgical treatment for distal radius fractures (DRF) in elderly patients over 65 years old, the purpose of this study was to compare the efficacy of external fixation (EF) with Kirschner wires and volar locking plate (VLP) in the treatment of DRF through a retrospective cohort study. We hypothesized that there would be no significant difference in overall complications and functional recovery between the two methods.Methods We retrospectively analyzed 62 patients over 65 years old who underwent surgical treatment for C-type DRF between 2019 and 2022. Based on the different treatment methods, they were divided into the EF group and the VLP group. General data, inpatient data, and postoperative complications during follow-up were recorded. The X-ray images before surgery, after surgery, and at the last follow-up were analyzed, and the results of wrist motion range, Gartland-Werley wrist joint score, and DASH score were evaluated 6 months after surgery for both groups.Result Thirty patients underwent closed reduction and external fixation combined with Kirschner wire fixation, while 32 underwent open reduction and VLP fixation. The EF group had significantly shorter operation time, intraoperative blood loss, injury-to-surgery time, and hospital stay compared to the VLP group (all p < 0.001). At the last follow-up, the radiographic parameters (ulnar variance and radial inclination) and wrist joint function (wrist dorsiflexion and forearm supination) were better in the VLP group than in the EF group (p = 0.04, p = 0.01, p = 0.001, p = 0.02, respectively). However, there was no significant difference in overall Gartland-Werley wrist joint score, DASH score, and incidence of postoperative complications between the two groups (p = 0.31, p = 0.25, p = 0.47, respectively).Conclusion For patients over 65 years of age with poor cardiopulmonary function who cannot tolerate long surgery, EF fixation is recommended. EF fixation can also be considered for severely comminuted C2 and C3 fractures or patients with severe osteoporosis. VLP, because of its ability to provide better wrist joint mobility, remains a preferred option for general DRF patients.
Studying chemical elements influencing the serpentinization of magnetite, chromite, magnesite, and lizardite by using empirical formulas and principal component analysis
Authors: Mitwally Eslam M.A. , Yu Bing-Sheng 
Published: May 2023

Abstract
This study used principal component analysis (PCA) to reduce data complexity and identify variables influencing in the chemical compositions of minerals. Empirical formulas were also derived to identify such factors. According to the empirical formulas and PCA results, major chemical elements namely Fe3+, Fe2+, Mg, Mn, Co, Cr, and Si are more influenced in the chemical compositions of magnetite minerals sampled from the Shoufeng Lixin and Ruisui mines. The influence of other elements namely Al, Ni, Zn, Ti, V, and Ca are differed between samples. According to the empirical formulas, the major chemical elements influencing in the chemical compositions of lizardite minerals from the Shoufeng Lixin and Ruisui mines were Mg, Fe2+, Fe3+, Mn, Cr, Al, Si, and P. Other elements influencing in the chemical compositions of the lizardite were Co, Na, K, and Ca. Also, the major elements influencing the compositions of magnesite from the Shoufeng and Lixin mines were Na, Mg, Al, Si, P, Cr, Mn, Fe3+, Fe2+, and Co. Notably, for the chromite samples, including both grains and veins, from the Shoufeng Lixin and Ruisui mines, the same chemical elements influenced in the chemical composition of chromite, as determined from the empirical formulas; these elements were Cr, Fe3+, Fe2+, Mg, Mn, Co, Zn, Ni, Si, Al, Ti, and V.
Devising Ceramic Tiles Texture featuring Semi-automatic Image Clustering and Generative Adversarial Networks
Authors: Abdullah Labib , Chowdhury Md. Ashfaqul Azam , Noor Abrar Rafid , Irtiza Md. Sakib , Shawon Md. Tanvir Rouf , Mahbub Md. Shahriar 
Published: May 2023

Abstract
Neural network-based generation has become a promising area of research with diverse applications in recent years, such as generating synthetic data, medical images, celebrity faces and so on. In this study, we try to investigate the potential of generative models in the field of ceramic tiles design. Specifically, we employ DCGAN and WGAN-GP to generate textures of ceramic tiles. Our dataset undergoes a semi-automated pre-processing stage, which has been crucial for achieving high-quality outputs. We analyse the performances and outputs of both the models. To examine the spatial quality of the produced outputs, employing statistical calculation and collecting survey reviews from professionals in the ceramic tile industry have been done to gather better insights. Our results demonstrate the potential of generative models for producing realistic ceramic tiles textures and suggest this work holds promise for improving the creativity and efficiency of ceramic tiles design process.
Normalized solutions for the discrete Schrödinger equations
Authors: Xie Qilin , Xiao Huafeng 
Published: May 2023

Abstract
In the present paper, we consider the existence of solutions with a prescribed $l^2$-norm for the following discrete Schr\"{o}dinger equations, \begin{equation*}\begin{cases}-\Delta^2 u_{k-1}-f(u_k)= \lambda u_k \ \ \ k\in\mathbb{Z}, \\\sum_{k\in \mathbb Z}|u_k|^2=\alpha^2,\end{cases}\end{equation*}where $\Delta^2 u_{k-1}=u_{k+1}+u_{k-1}-2u_k$, $f\in C(\mathbb R) $, $\alpha$ is a fixed constant and $\lambda\in \mathbb R$ arises as a Lagrange multiplier. In order to get the solutions, we investigate the corresponding minimizing problem with $l^2$-norm constraint:$$E_\alpha=\inf\left\{\frac{1}{2}\sum |\Delta u_{k-1}|^2-\sum F(u_k):\ \ \ \sum| u_{k}|^2=\alpha^2 \right\}.$$An elaborative analysis on a minimizing sequence with respect to $E_\alpha$ is obtained.We prove that there is a constant $\alpha_0\geq0$ such that there exists a global minimizer if $\alpha>\alpha_0$ and there exists no global minimizer if $\alpha<\alpha_0$. It seems that it is the first time to consider the solution with a prescribed $l^2$-norm of the discrete Schr\"{o}dinger equations.
2010 Mathematics Subject Classification. 35Q51, 39A12, 39A70.
An advanced approach for Assessment of Spatiotemporal Variation in Rainfall and its Impact on Stream Flow Discharge in Chaliyar River Basin of Kerala
Authors: K Naveena , Sajan Devika P. , U Surendran , Shada Baheerah , mathi Banu 
Published: May 2023

Abstract
Understanding the precise spatiotemporal movements of rainfall and its relationship with streamflow moment is crucial for effective water resource management in the Western Ghats region, particularly in the Chaliyar basin where extreme events have increased, resulting in repetitive disasters. To investigate the impact of rainfall variations on stream flow discharge in the basin, it is necessary to conduct a long-term analysis of rainfall and stream discharge data. To conduct this study, daily rainfall and stream discharge data were collected from three rain gauging and one streamflow gauging station over a period of 30 years. Data were subjected to analysis using different statistical methods such as the Modified Mann-Kendall test, Innovative Polygonal Trend Analysis (IPTA), and cross correlation analysis. The results revealed significant differences in rainfall and subsequent discharge data, with September rainfall showing a significant trend across the basin. Extreme events such as consecutive wet days and 20mm/day rainfall exhibited an increasing trend in all stations, and IPTA results indicated a significant shift in successive transition of rainfall in the South West Monsoon months. Stream flow analysis indicated an increasing trend in stream flow during September, with discharge higher than normal during this month. The cross-correlation analysis showed a delay of approximately 13, 8, and 11 days, respectively, for the rainfall to reach the stream gauge at these stations during September. These findings highlight the need to re-plan effective water resource management strategies in the Chaliyar river basin, taking into account the delay between rainfall events and the corresponding rise in stream-flow.