bluuebunny/crossref_metadata_2025_split huggingface dataset:
Etiologic evaluation and pregnancy outcomes of fetal growth restriction (FGR) associated with structural malformations: experience from a tertiary referral center
Authors: Wu Xiaoqing , He Shuqiong , Shen Qingmei , Xu Shiyi , Guo Danhua , Liang Bin , Wang Xinrui , Cao Hua , Huang Hailong , Xu Liangpu 
Published: October 2023

Abstract
This study aimed to evaluate the etiology and pregnancy outcomes of fetuses underwent invasive prenatal diagnosis for fetal growth restriction (FGR) accompanied by structural malformations. Data from 130 pregnancies referred for prenatal diagnosis for FGR accompanied by structural malformations were obtained between July 2011 and July 2023. Traditional karyotyping were conducted for all the subjects. A total of 37 (28.5%) cases of chromosomal abnormalities were detected by karyotyping, including 30 cases of numerical anomalies and 7 cases of unbalanced structural anomalies. Trisomy 18 was the most common abnormalities, accounting for 51.4%, significantly higher than any other chromosomal abnormality. Early-onset and late-onset FGR accounted for 88.5% (115/130) and 11.5% (15/130) of the cohort, and their incidences of chromosomal abnormalities were 29.6% (34/115) and 20.0% (3/15), respectively (p > 0.05). The majority (74.6%, 97/130) of the cohort were affected by a single-system malformation, with chromosomal abnormalities found in 19.6% (19/97) of cases. While in pregnancies of structural malformations involving two and multiple systems, the frequencies were 56.5% (13/23), and 50.0% (5/10), respectively. Single nucleotide polymorphism array (SNP array) was performed in parallel for 65 of them, and it revealed additional 5 (7.7%) cases of copy number variants (CNVs) compared to karyotyping. Polymerase chain reaction (PCR) was used for detection of cytomegalovirus (CMV) DNA in 92 cases. All fetuses with FGR associated with two or more system malformations were either terminated or stillborn, irrespective of chromosomal aberrations. Conversely, 71.8% of pregnancies with a single-system malformation and normal genetic testing results resulted in live births. Additionally, two (2.2%) cases tested positive for CMV DNA, resulting in one termination and one case of serious developmental disorder after birth. Our study suggests that structural malformations associated with FGR are more inclined to affect a single system. When multiple systems are involved, the incidence of chromosomal abnormalities and termination rates are notably high. We strongly recommend utilizing CMA and CMV DNA examinations in cases that necessitate invasive prenatal diagnosis. These tests can provide valuable insights for etiological exploration and guidance in pregnancy management.
How Polluting Emissions React to Different Shocks of the Economic Cycle (Based on Renewable and non-Renewable Energy) in Developing Countries: A Panel Vector Autoregressive Analysis (PVAR)?
Authors: Meshari Zaher Abdulrahim , Fakhri Issaoui , Othayman Majed Bin , Mourad Guesmi , jamaa akram 
Published: October 2023

Abstract
The review of previous literature shows us that the study of the relational triad “economic growth, energy consumption and CO2 emissions” can be qualified as one of the most analyzed subjects. However, it seems to us that there remains an important subject to explore. This involves carefully questioning, using a PVAR model, how polluting emissions (recorded in 35 developing countries and covering a time horizon going from 1990 to 2020) behave and react to different shocks of the economic cycle ? The answer to this question will allow us to achieve the objective of this research which is to confirm or refute whether the countries considered in our sample have the transition possibility towards ecological growth models or not. Thus, to answer this central question in the context of this article, it was necessary to resort to a “panel vector autoregressive model (PVAR), developed by Love and Zicchino (2006)” which will allow us to analyze the functions impulse response (IRF) which allow us to examine how economic cycle shocks influence and affect polluting emissions and how said shocks could challenge new sources of energy, both “renewable and non-renewable”. To refine this analysis, we then carried out a decomposition of the variance of all variables. Overall, the main results emerged focused on three central ideas. Firstly, that any enrichment suffered by these countries can only be achieved through increasingly intense use of CO2-emitting energies. Second, that the phenomenon of substitution of "polluting energies" by “renewable energies” is possible, which makes it possible to establish the possibility of a policy of purification and sanitation of the environment in developing countries by investing more in the sector “renewable energies”. Third, despite these theoretical possibilities, the development of the “renewable energy” sector in developed countries is still weak and its contribution to an ecological environment promoting “economic growth” remains weak. Several policies must be considered and discussed to be able to move towards ecological growth but it should be noted that the effectiveness of these can only take place if the countries considered will all have a common will which, without it, each individual effort miss its goal.
JEL Classification : Q1; Q2; Q3
Paternal postpartum depression and associated factors among partners of women who gave birth in the last 12 month in Dessie town, Northeast Ethiopia, 2023: Community based cross sectional study
Authors: Assefa Abdulaziz , Werkie Amare , Assefaw Mandefiro , Belay Aynalem 
Published: October 2023

Abstract
Background Paternal depression among fathers of new-borns is a new concept in Ethiopia. It is an emerging public health concern because; it produces insidious effects on the well-being of new-borns as well as on the whole family, which is currently under screened, under diagnosed and undertreated. However, there is limited evidence on the prevalence of paternal postpartum depression and its predictors among partners of women in Ethiopia.Methods A community based cross-sectional study was conducted among 634 partners of postpartum women in Dessie town from January10-Feburary10, 2023 to assess the prevalence of paternal postpartum depression and associated factors among partners of women who gave birth in the last 12 months. The data were collected using a structured and pretested questionnaire though face-to-face interviews and the data were cleaned, edited, and entered into Epi-data version 4.6, and analysed SPSS Version 26.The Edinburgh Postpartum Depression Scale was considered at a cutoff point ≥ 10 to detect depression.Result A total of 610 fathers were interviewed with a response rate of 96.2% and the prevalence of paternal postpartum depression was 19%, (95%CI: 16.0, 22.3). This study showed that; not comfortable with family income [AOR = 2.32(95% CI: 1.16, 4.66)], substance use [AOR = 2.48(95% CI: 1.22, 5.05)], experience of childbirth[AOR = 1.89(95% CI: 1.02, 3.50)], unplanned pregnancy [AOR = 2.81(95%CI: 1.50, 5.25)] and infant sleep problem [AOR = 3.59(95% CI: 1.80, 7.18)], were significantly associated with paternal depression.Conclusion and recommendations: This study revealed that almost one-fifth of fathers had paternal postpartum depression. Not comfortable with family income, substance use, experience of childbirth, unplanned pregnancy and infant sleeping problem were significantly associated with paternal postpartum depression. This suggests the need to provide health education to decrease substance use and counselling to the utilization of family planning to minimize unplanned pregnancy and supports offer to multiparous fathers.
Investigation on the mechanism of size effect on suffusion via CFD-DEM simulations
Authors: Zhu Yanzhen , Hu Lingkai , Xu Shanlin , Hu Zheng , Sun Honglei , Weng Zhenqi , Wang Yongming 
Published: October 2023

Abstract

Suffusion is a critical issue in geotechnical engineering. Despite extensive studies, the effect of soil specimen dimensions on suffusion remains unclear. In this paper, a coupled computational fluid dynamics and discrete element method (CFD-DEM) approach is employed to study the suffusion of gap-graded soils with varying aspect ratios, and the underlying physical mechanisms are discussed. The results indicate that as the aspect ratio increases, erosion degree, mechanical coordination numbers, and unevenness in the fines distribution decrease, while the likelihood of fine particles integrating into the soil skeleton rises. Before suffusion, specimens with lower aspect ratios show higher peak strengths. After suffusion, peak strength decreases with erosion degree. However, all specimens exhibit comparable residual strengths. The mechanism behind different suffusion behaviors in specimens with varying aspect ratios is primarily governed by their unique suffusion boundary conditions. Accounting for suffusion boundaries significantly modify erosion laws and eroded soil mechanics behaviors. A standardized specimen size is proposed to account for suffusion boundary effects, thereby minimizing errors attributed to variations in outlet sieve aperture sizes and inconsistencies in specimen dimensions. The results obtained highlight the influence of specimen size on suffusion, advancing our precise understanding of eroded soil behavior and furthering the development of phenomenological constitutive models.
Requirements for a Country with a Fiscally Sound Central Government
Authors: Obata Hiroshi 
Published: October 2023

Abstract
This study demonstrates the financial soundness of a model country’s central government and considers the present day as the starting point. Fiscal soundness is determined by the following criteria: (1) During and after the starting point, the central government can generate the necessary funds for executing budgeted items, and there is never a situation in which the central government lacks the funds to maintain its finances and (2) Even if the central government is in debt at the starting point, it presents no problem regardless of the amount of the debt. This demonstration is based on pure logic using mathematical induction in a model country that is very similar to a real country. In the discussion, I derive the required and initial conditions for the country to which this demonstration applies. Moreover, solutions to the problems caused by inflation are discussed. In conclusion, it is possible for a country with a financially sound central government to exist in the above two meanings.
Iterative Mapping of Probabilities (IMP): A data fusion framework for generating accurate land cover maps that match area statistics
Authors: Witjes Martijn , Herold Martin , de Bruin Sytze 
Published: October 2023

Abstract

Providing land cover estimates with both correct pixel-level class predictions and regional class area estimates is important for many monitoring and accounting purposes but rarely achieved by current land monitoring efforts. We propose a framework that uses class probabilities predicted by machine learning to guarantee that the mapped proportion of each class matches independent area estimates. We demonstrate the use of the framework and map the 8 primary LUCAS land cover classes in multiple European countries using CORINE training data. We validate the baseline highest likelihood class maps and the proportional class maps output by the proposed algorithm with LUCAS land cover observations and S2GLC validation points. Our results show that the framework and algorithms create maps that match area estimates, and that may also be more accurate than the baseline map. We also found that the algorithm does not need probabilities predicted by models that were trained on data with representative class proportions.
Nature Inspired Data Dissimination Routing Protocol for Wireless Sensor Networks
Authors: Ali Moazam , Ali shehnaz 
Published: October 2023

Abstract
A wireless sensor network (WSN) is a network composed of small sensor nodes, a base station, and a data center. Its purpose is to collect and monitor various environmental or system conditions such as humidity, temperature, air quality, and more. However, as the usage of wireless sensor networks technology continues to expand, WSN faces numerous challenges. One of the primary challenges faced by WSNs is the limited energy resources of the sensor nodes. Due to this limitation, energy efficiency becomes a critical concern, and finding ways to optimize energy consumption becomes necessary. Additionally, the routing methods in wireless sensor networks can be complex and require sophisticated algorithms to ensure effective communication between nodes. The concept of smart cities introduces a new layer of challenges for WSNs. Smart cities integrate various systems and components to enhance the living environment for citizens. However, this integration introduces challenges such as managing and providing services to users in the smart city environment, ensuring the security of smart city networks , and dealing with the high mobility of nodes within the network. Designing a comprehensive solution for smart cities involves addressing several other critical factors, including data security, efficient data handling, heterogeneity (the presence of diverse devices and technologies), sustainability, and analysis of the vast amounts of data generated by the smart city infrastructure. To tackle these complex issues, researchers have turned to nature-inspired optimization solutions. These solutions draw inspiration from nature, which has proven to be a reliable source for addressing complex problems. Nature-inspired optimization techniques 1 leverage the principles observed in natural systems and phenomena to develop efficient algorithms and protocols. One area where nature-inspired optimization techniques can be applied is in the design of routing protocols for wireless sensor networks. These protocols aim to optimize the utilization of limited network resources while ensuring reliable and efficient data transmission between sensor nodes. Another area of focus is load balancing in high-speed networks. Load balancing techniques distribute the network traffic evenly across nodes to prevent congestion and maximize network performance. Nature-inspired optimization methods can be used to develop intelligent load balancing algorithms that adapt to dynamic network conditions. By leveraging nature-inspired optimization solutions, researchers can address the intricate and evolving challenges posed by smart cities and complex network systems. These solutions pave the way for the development of intelligent systems and novel optimization techniques, providing valuable insights and opportunities for new researchers to explore the potential of nature-inspired approaches.
The Maximum Cover with Rotating Field of View
Authors: Potapov Igor , Ralph Jason , Triommatis Theofilos 
Published: October 2023

Abstract

Imagine a polygon-shaped platform $P$ and only one static spotlight outside $P$; which direction should the spotlight face to light most of $P$? This problem occurs in maximising the visibility, as well as in limiting the uncertainty in localisation problems. More formally, we define the following maximum cover problem: ''Given a convex polygon $P$ and a Field Of View (FOV) with a given centre and inner angle $\phi$; find the direction (an angle of rotation $\theta$) of the FOV such that the intersection between the FOV and $P$ has the maximum area''. In this paper, we provide the theoretical foundation for the analysis of the maximum cover with a rotating field of view. The main challenge is that the function of the area $A_{\phi}(\theta)$, with the angle of rotation $\theta$ and the fixed inner angle $\phi$, cannot be approximated directly. We found an alternative way to express it by various compositions of a function $A_{\theta}(\phi)$ (with a restricted inner angle $\phi$ and a fixed direction $\theta$). We show that $A_{\theta}(\phi)$ has an analytical solution in the special case of a two-sector intersection and later provides a constrictive solution for the original problem. Since the optimal solution is a real number, we develop an algorithm that approximates the direction of the field of view, with precision $\varepsilon$, and complexity $\mathcal{O}(n(\log{n}+(\log{\varepsilon})/\phi))$.
Comprehensive evaluation of mine geological environment in northwest Hunan based on vector polygon
Authors: Li Xiaohui , Cao yunjiang , Li Xiaolin 
Published: October 2023

Abstract
Long-term irrational use of mine resources leads to soil erosion, reduction of cultivated land area and destruction of ecosystem. In order to rationally use mineral resources and restore and control mine geological environment, northwestern Hunan Province is taken as the study area. By considering eight evaluation factors of three evaluation types (population density, surface slope, rainfall, engineering rock group, geological structure, mine area, geological disaster and forest coverage rate), the expert evaluation weight was carried out, Q value was calculated, vector polygon method was used to carry out local mine geological environment evaluation, and mapping was carried out based on geographic information system technology. To grade the mining environment of each district and county in the study area and intuitively evaluate the mining environment in northwest Hunan can provide a certain basis for the mine environmental management and ecological restoration in northwest Hunan.
Secretive cultures and non-performing loans of microfinance institutions
Authors: Farooq Omar , Khondker Aktaruzzaman , Movsumova Aliya 
Published: October 2023

Abstract
Microfinance institutions (MFIs) have contributed significantly in improving the lives of underprivileged sections of society. Significant amount of prior literature has, therefore, tried to identify factors that can have positive impact on their performance. However, there is scarcity of research that document the impact of cultural factors on the performance of MFIs. In this paper, we aim to fill this gap by documenting the impact of secretive cultures on non-performing loans of MFIs headquartered in 65 countries during the period between 2007 and 2018. This paper uses various estimation procedures, such as pooled OLS regression, instrument variable regression, Fama-MacBeth regression, and panel regression with random effect. The findings of this paper suggest that MFIs headquartered in countries that score high on secrecy have more non-performing loans than MFIs headquartered in countries that score low on secrecy. These findings are robust across various sensitivity checks, such as different sample structures, different proxies of main variables, and different estimation procedures. We argue that secretive cultures are not conducive for information disclosure. In the absence of required information, capital providers are exposed to adverse selection and moral hazard problems. Therefore, it becomes difficult for them to differentiate creditworthy borrowers from financially weak borrowers. As a result, they are more likely to make erroneous decisions, which may lead to higher default on the loans.
PM2.5 decadal changes in Brazil: influence of vehicular fleet growth and policy to control vehicular emissions
Authors: Ribeiro Camilo Bastos , Hoinaski Leonardo 
Published: October 2023

Abstract
Previous evidence suggests that Programs to Control Vehicular Emission (PCVE) restrictions have succeeded in improving air quality. However, it has not been assessed PCVE long-term effects under vehicular fleet growth scenarios in developing countries in the Southern Hemisphere. We analyzed the influence of vehicular fleet growth and restrictions of emission control policy on PM2.5 changes in all Brazilian urban spots. Our results show an increase in PM2.5 concentrations (up to 14%) aligned with an intensive increase (more than 70%) in the vehicular fleet between 2001 and 2010. We detected a similar pattern in more than 50% of urban spots in the South-East and other large urban centers in the South and Mid-West regions. The stabilization or reduction of PM2.5 is associated with a smoothing of fleet growth combined with the continuous restrictions of emission control policy between 2011 and 2020. This work highlights the importance of planning and limiting fleet growth beyond vehicular technological improvement and emission factor restrictions.
A study of the remote continuity of care intervention model in the follow-up of patients with thyroid cancer
Authors: Wang ZhiHong , He Qiu , Zheng YuQing , Zheng Xin , Gao Yang , Kang ShengJiao , Wang MingMing 
Published: October 2023

Abstract
Objective
This study aimed to investigate the impact of "Remote continuity of care intervention model " on the follow-up of postoperative thyroid cancer patients.
Methods
Between November 2021 and August 2022, a total of 404 thyroid cancer patients, who had undergone surgical treatment in the Department of Thyroid Surgery at a comprehensive tertiary-level hospital in Changsha, were randomly assigned to either the experimental group or the control group, with each group consisting of 202 cases. The experimental group adopted the " Remote continuity of care intervention model " for follow-up, while the control group followed traditional nursing procedures. Self-Rating Anxiety Scale, Self-rating Depression Scale, EORTC Quality of Life Questionnaire, adverse reactions, and patient satisfaction were compared between the two groups before and after 3 months of intervention.
Results
Of the 202 patients in the experimental group and 202 patients in the control group who completed the study, no significant differences were observed in general information, SAS, SDS scores, and dimensions of quality of life before the intervention (P༞0.05). After the intervention, the experimental group exhibited: 1. Lower anxiety and depression levels, with total SAS and SDS scores significantly lower than those of the control group (P < 0.05). 2. Improved quality of life, with higher scores in cognitive, emotional, somatic, social, and role functioning dimensions compared to the control group (P < 0.05). 3. Fewer adverse reactions, with significantly lower rates of panic, excessive sweating, digestive function abnormalities, and no abnormal symptoms in the experimental group (P < 0.05). There were no statistically significant differences in adverse reactions in the form of insomnia, fatigue, weakness, and numbness of the limbs (P > 0.1).
Conclusion
" Remote continuity of care intervention model " can effectively reduce anxiety and depression levels in post-surgical thyroid cancer patients, lower the incidence of adverse reactions, and enhance overall patient quality of life.