bluuebunny/crossref_metadata_2025 huggingface dataset:
Implantable loop recorders in the diagnosis and management of cardiac symptoms in children and adolescents
Authors: Agudo-Montore Pedro , Stuart Graham , Wilson Deirdre , Spentzou Georgia , Sidiqqui Rabeea , Theofanous Theano , González-Corcia Cecilia
Published: September 2023

Implantable loop recorders (ILR) have emerged as long-term effective monitoring tools for severe or recurrent rhythm abnormalities or unexplained cardiac symptoms. Scarce information is available on the use and results of this technology in the pediatric age. Report of the results of a cohort of pediatric patients that benefited from ILR implantation. Retrospective chart review of clinical data, implantation indications, diagnostic recordings and changes in patient management in pediatric patients who underwent Reveal LINQ ILR implantation from January 2016 to February 2022 at a single pediatric cardiology department in a tertiary care children’s hospital. In a pediatric cohort of 155 patients (mean age at implantation 10.3 years), 98 patients (63%) had ILR transmissions, 41 (42%) of which demonstrated a diagnostic arrhythmia recording. The median time to a diagnostic transmission was 175 days. The most common abnormality was sinus pauses (37%), followed by ventricular tachycardia (30%). Of the total transmissions, 78 (80%) were patient-activated and 21% of them had pathological traces. From the device-activated transmission (n=33, 34%), 79% showed pathological tracings. Some of the transmissions were simultaneously patient and device-activated. In 80% of patients with an ILR-related diagnosis, there was an arrhythmia management plan change including medication change, a pacemaker or an implantable cardioverter defibrillator implantation, and an indication to perform an electrophysiology study. No major complications occurred; 4 patients (2.4%) had minor complications. ILRs have emerged as a new technology proven to be effective and safe in diagnosing and managing pediatric arrhythmias.
Image Retrieval Using Pixel Similarity
Authors: Orman Abdullah
Published: September 2023

Content-based image retrieval involves searching for the desired image from an image database. It is realized through the feature vectors obtained from the architectural image in question. Therefore, feature extraction is a crucial step. In this study, a new feature vector representation is proposed. In the proposed study, a composite feature vector is obtained by using color, edge, and gradient features. In particular, the method applied for edge detection offers a non-linear approach that simulates the human visual system well. In addition, there is no need for any parameter or user intervention in edge detection. In the study, experiments were carried out in Corel 1K and Corel 10K databases, which are frequently used in image retrieval. The proposed study was compared with 13 different methods. When the results are examined, the superiority of the method draws attention.
Isolation, characterization and anti-biofilm efficacy of a novel Klebsiella pneumoniae phage
Authors: Hussein Ali Y. , Abdulsattar Ban O. , Al-Saryi Nadal A.
Published: September 2023

The Multi-Drug-Resistant (MDR) Klebsiella pneumoniae (K. pneumoniae) is an important pathogen that threatens public health directly with life threatening infections. The need for the development of new effective and safe alternative treatments for these infections is crucial. Therefore, the interest in phage therapy as a promising alternative is increasing. Here, a novel phage named ΦAYH was isolated from the Tigris River water, Baghdad, IRAQ near sewage of Baghdad Medical City with its specific host from the same site. Phage ΦAYH belongs to Podoviridae family in the order Caudovirales. The ΦAYH maintained stability at different temperatures (-10- 60°C) and pH values (5-11). For one-step growth, latent period was 10 min with burst size ~64 virions/ cell at MOI 10. The phage was able to lyse 8 from 32 clinical K. pneumoniae isolates in vitro. The SDS-PAGE test revealed one major structural protein and different structural proteins ranging from 28 to 89 kDa in size. The phage host and 32 clinical K. pneumoniaeisolates were tested for phenotypic identification and antibiotics profile by VITEK-2 system and genotypically using rpob gene. All clinical K. pneumoniae isolates showed resistance to the most antibiotics tested while phage host was resistant only to amoxicillin. Biofilm production by all clinical isolates including the host isolate was tested. These isolates showed different ability as following: 72.72 % as weak, 6.06% as moderate, and 21.21% as strong biofilm producer. Together these results demonstrate that ΦAYH is a promising alternative against MDR K. pneumoniae.
Exploring SoySNP50K and USDA Germplasm collection data to find new QTLs associated with protein and oil content in Brazilian genotypes
Authors: Silva Jessica Nayara Basílio , Bueno Rafael Delmond , Feitosa Teresinha Jesus , Xavier Yan Pablo Moreira , Silva Luiz Claudio Costa , Piovesan Newton Deniz , Ribeiro Cleberson , Dal-Bianco Maximiller
Published: September 2023

Genetic diversity within a germplasm collection plays a vital role in the success of breeding programs. However, comprehending this diversity and identifying accessions with desirable traits pose significant challenges. This study utilized publicly available data to investigate SNP markers associated with protein and oil content in Brazilian soybeans. Through this research, twenty-two new QTLs (Quantitative Trait Loci) were identified, and we highlighted the substantial influence of Roanoke, Lee and Bragg ancestor on the genetic makeup of Brazilian soybean varieties. Our findings demonstrate that certain markers are being lost in modern cultivars, while others maintain or even increase their frequency. These observations indicate genomic regions that have undergone selection during soybean adaptation and could be valuable in breeding programs aimed at enhancing protein or oil content.
Design and Optimization of Piezoelectric Diaphragm for Self-Powered Acoustic Sensor
Authors: Sawane Mohini , Prasad Mahanth
Published: September 2023

A self-powered piezoelectric material-based sensor has miniaturization and mass production capabilities. The finite element analysis shows results prior to device fabrication, which discover potential defects in the design, improve sensor performance, and lead to cost-effective fabrication. This study reveals the trade-offs between sensitivity and frequency range of the proposed device and provides an optimized diaphragm design in terms of material choice and dimension. Regardless of the cavity and holes in the silicon substrate, the optimized design is applicable for any piezoelectric square shaped diaphragm-based acoustic sensor. The constraints of the MEMS fabrication technique are considered while selecting a parameter range for the diaphragm. The obtained results from COMSOL Multiphysics with diaphragm area 12.25 mm2, ZnO (2.5 µm), and silicon layer (5 µm) shows a resonance frequency of 39 kHz and sensitivity of 1.17 mV at 1 kHz of frequency, results in higher sensitivity with maximum feasible frequency range for optimized design.
Study of Optimized End-to-End Convolutional Neural Network in Cross-Cultural Project Management under the “Belt and Road” Initiative
Authors: Li Guofu
Published: September 2023

Under the "Belt and Road" policy, the Chinese government encourages economic cooperation and mutual benefits among countries and regions along the route, promoting cooperation in infrastructure construction, trade and investment facilitation, financial cooperation, and cultural exchanges. This study aims to explore the application of optimized end-to-end convolutional neural networks (CNNs) in cross-cultural project management under the "Belt and Road" strategy. Firstly, the background and significance of the "Belt and Road" strategy and the importance of cross-cultural project management are introduced. Then, an end-to-end stereo matching network with dense feature fusion is established. Taking Project X as an example, the problems in cross-cultural project management are analyzed. Finally, through the analysis of the problems in Project X, the effectiveness and practicality of the optimized end-to-end CNNs in cross-cultural project management are confirmed, and feasible solutions are proposed. The research results show that the end-to-end stereo matching network with dense feature fusion has significant advantages over traditional algorithms in terms of error and execution efficiency, with a reduced response time of 0.22 seconds. Based on the principles of the end-to-end model, feasible solutions are proposed for the problems in Project X, validating the rationality and scientific nature of this research. Through deep learning techniques, the efficiency and accuracy of cross-cultural project management can be improved, promoting economic cooperation and cultural exchanges among countries and regions along the "Belt and Road". This technology can also identify and analyze behaviors and attitudes in different cultural backgrounds, helping project managers better understand and address issues in cross-cultural communication. Furthermore, this technology will facilitate economic cooperation and cultural exchanges along the "Belt and Road", promoting the implementation of the strategy.
Simulation of air gap discharge properties and charge evolution law under typical electrode structure
Authors: Zhang Liankang , Xu Fengyuan , Han Yanze , Wei Yanhui , Wang Jiaxing , Zhou Xuguang , Zhu Yuanwei , Li Guochang
Published: September 2023

Air gap discharge is usually an important cause of insulation failure in power equipment. In this work, the discharge characteristics of the air gap were investigated experimentally under three typical electrodes. The simulation model of the air gap discharge under the typical electrodes is established. Further, the evolution of electron density and space charge during the discharge process over time was explored theoretically. The experimental results show that the breakdown voltage of the ball-ball electrode is significantly higher than that of the needle-plate and the rod-plate. Moreover, it increases more with the increase of the discharge gap than that of the other two electrodes. The simulation results show that the evolution law of discharge caused by different electrode types differs greatly during the development of the air gap discharge. The needle-plate and the rod-plate electrodes gathered positive polarity space charge at the head of the streamer, and the ball-ball electrodes showed upward leader at the grounded electrode, gathering negative polarity space charge and accelerating the development of the streamer. In addition, the maximum electric field for the needle-plate and the rod-plate electrodes moves gradually from the electrode surface to the streamer head, owing to the effect of space charge. The work is of great significance in guiding the analysis of discharge faults in power equipment.
Sublethal effect and detoxifying metabolism of metaflumizone and indoxacarb on the fall armyworm, Spodoptera frugiperda
Authors: Zhang Li , Wu Hui-Zi , He Pei-Yun , Cao Hai-Qun , Zhang Wan-Na , Peng Ying-Chuan , Sheng Cheng-Wang
Published: September 2023

The fall armyworm (FAW), Spodoptera frugiperda, is a highly polyphagous invasive pest that damages on various crops. Pesticide control is the most common and effective strategy to control of FAW. In this study, we evaluated the toxicity of metaflumizone and indoxacarb against third-instar FAW larvae using the insecticide-incorporated artificial diet method under laboratory conditions. Both metaflumizone and indoxacarb exhibited substantial toxicity against FAW, with LC50 values of 2.43 and 14.66 mg/kg at 72 h, respectively. The sublethal effects of metaflumizone and indoxacarb were investigated by exposing FAW third-instar larvae to LC10 and LC30 concentrations of these insecticides. Sublethal exposure to these two insecticides significantly shortened larval and adult developmental times, extended pupal developmental times, and led to reduced pupal weight, pupation rates, and adult fecundity in the treated parental generation at LC10 or LC30 concentrations, in comparison to the control group. We also assessed he transgenerational sublethal effects, and the findings indicated that metaflumizone and indoxacarb had comparable effects on the F0 generation, except for an observed significant increase in larval developmental time in the F1 generation. Furthermore, Larvae exposed to LC10 or LC30 concentrations of indoxacarb exhibited elevated activity levels of Multifunctional oxidase (MFO) and glutathione S-transferase (GST), which coincides with the observed synergistic effect of PBO and DEM. In conclusion, the high toxicity and negative impact of metaflumizone and indoxacarb on FAW provided significant implications for the rational utilization of insecticides against this pest.
SMU1 knockdown suppresses gastric carcinoma growth, migration, and invasion and modulates the G0/G1 checkpoint of the cell cycle
Authors: Qian Meirui , Zeng Qingmei , Zhang Chen , He Nan , Ma Jing
Published: September 2023

Gastric cancer (GC) is the third most common cause of cancer deaths globally, and its etiology remains unclear. Therefore, finding the key molecules that promote oncogenesis and progression of GC for treatment and diagnosis is necessary. SMU1, belonging to the WD40-repeat protein family, plays a significant role in DNA replication and RNA splicing. However, the function of SMU1 and the dysregulated mechanism of DNA replication in gastric cancer (GC) are still poorly understood. Here, we found that SMU1 was significantly upregulated in GC indicating a poor prognosis in GC patients by Kaplan–Meier method. Univariate and Multivariate Cox analyses showed that the high expression level of SMU1 was an independent risk factor for the prognosis of GC. Subsequently, the abilities of proliferation, invasion, and migration in SMU1 overexpression and downregulation cell were measured by CCK-8 assay, Transwells assay, and xenograft model experiment. In both in vivo and in vitro experiments, it was found that overexpression of SMU1 promoted GC cell proliferation, invasion, and migration, whereas SMU1 deficiency hampered GC aggressiveness. In addition, a flow cytometry assay revealed that the G0/G1 phase was arrested with SMU1 inhibition in GC cells. Based on these results, SMU1 plays a crucial role in carcinogenesis and GC progression, and it may also serve as a novel prognostic marker and potential therapeutic agent for GC.
The Relationship Between the Resting-State Functional Connectivity of the Insula and the Cerebellum and Facial Emotion Recognition in Social Anxiety Disorder
Authors: Kurita Kohei , Oishi Yuka , Nagano Tomomi , Yoshida Tokiko , Matsumoto Koji , Kamashita Rio , Shimizu Eiji , Hirano Yoshiyuki
Published: September 2023

Introduction
Social anxiety disorder (SAD) is thought to negatively evaluate facial emotions. There have been reports related to facial emotion recognition in imaging studies of SAD. However, no studies have investigated the relationship between resting-state functional connectivity (rsFC) and facial in patients with SAD.
Objective
The objective of this study is to identify, for the first time, the association between facial emotion recognition proficiency and rsFC in SAD.
Methods
A total of 18 patients diagnosed with SAD and 42 Healthy Controls (HCs) were enrolled in the study. All participants underwent resting-state functional MRI, comprehensive clinical assessments, and completed emotion recognition tasks (ERT). ERT parameters underwent t-test analysis to compare HCs and patients with SAD. Whole-brain analysis was conducted to calculate rsFC, which correlated with the parameters of significant differences in ERT. Furthermore, the correlation between significant differences in ERT and clinical scale scores was computed.
Results
Individuals with SAD demonstrated a significantly higher accuracy in identifying expressions of disgust compared to HCs (Cohen’s d = -0.613, p = 0.034). A correlation was found between the ERT disgust and the fear subscale of the Liebowitz Social Anxiety Scale (r = 0.26, p = 0.04). The rsFC correlated with ERT disgust between the right insula and right cerebellum, with Crus II exhibiting the highest correlation.
Conclusion
Individuals with SAD may be more adept at recognizing disgust, which creates fear in social situations. Additionally, individuals who correctly recognized disgust exhibited decreased cognitive control over emotions arising from interoception.
RETRACTED: Modeling hurricane-induced total water level and coastal change across heterogeneous coastlines
Authors: Torres-García Legna Maria , Doran Kara , Thompson David , Seymour Alexander , Vargas-Babilonia Priscila , Palmsten Margaret L. , Buckley Mark L , Storlazzi Curt , Chardón-Maldonado Patricia
Published: September 2023

The authors have requested that this preprint be removed from Research Square.
Variations on the two-child problem
Authors: Borgers Christoph , Eddine Samer Nour
Published: September 2023

Mr. Smith has two children. Given that at least one of them is a boy, how likely is it that Mr. Smith has two boys? It’s a very standard puzzle in elementary books on probability theory. Whoever asks you this question hopes that you will answer “1/2”, in which case they can say triumphantly “Oh no, the answer is 1/3 ”. This is called the two-child puzzle. Some authors have discussed a striking variation, which we’ll call the Adam puzzle. Again, Mr. Smith has two children. Given that one of them is a boy named Adam, how likely is it that Mr. Smith has two boys? Astonishingly, now the answer is 1/2 , at least approximately. (The exact answer depends a bit on precise assumptions.) We give pictorial explanations of both puzzles. We then point out that the answers usually given rely on a tacit assumption about how the information that one of Mr. Smith’s two children is a boy, or one of them is a boy named Adam, is obtained. We give examples showing that the answers may be different with different assumptions. We conclude with a discussion of why the Adam puzzle is so confusing to most people.
A New Cache Replacement Policy in Named Data Network Based on FIB Table Information
Authors: Hosseinzadeh Mehran , Moghim Neda , Taheri Samira , Gholami Nasrin
Published: September 2023

Named Data Network (NDN) is proposed for the Internet as an information-centric architecture. Content storing in the router’s cache plays a significant role in NDN. When a router’s cache becomes full, a cache replacement policy determines which content should be discarded for the new content storage. This paper proposes a new cache replacement policy called Discard of Fast Retrievable Content (DFRC). In DFRC, the retrieval time of the content is evaluated using the FIB table information, and the content with less retrieval time receives more discard priority. An impact weight is also used to involve both the grade of retrieval and stale parameters in the discard priority calculation. This weight adjusts the relative impact of these two parameters on the discard priority. The grade of retrieval reflects the content’s retrieval time, and the stale parameter indicates its popularity. The reinforcement Learning (RL) method is used to calculate the suitable weight dynamically and based on the network condition. Simulation results show that DFRC improves hit rate and round-trip time compared to Least Recently Used (LRU), Optimized Cache Replacement algorithm for Information-Centric Networks (OCRICN), Efficient Popularity-aware Probabilistic Caching (EPPC), and Shortest Round-Trip Time (SRTT).
Estimation of gene effects using generation mean analysis in chickpea for yield and quantitative traits under timely and late sown conditions
Authors: mvr Mahaveer Prasad Ola , Shailesh Shailesh Kumar Jain , Rekha Rekha Choudhary , Mohan M.L. Jakhar , Sumer S.S. Punia
Published: September 2023

The chickpea (Cicer arietinum L.), which is known to be high-temperature sensitive, has its yields affected by heat stress in many parts of the world. Gene effects specially interactions effects have not been extensively investigated, making it challenging to generate the basic knowledge needed to create future breeding programmers. Hence, present study was conducted among six basic generations (P1, P2, F1, F2, B1 and B2) of three inter-varietal chickpea crosses to know inheritance pattern of yield and quantitative traits under timely (E1) and late sown (E2) conditions. Detrimental effect was observed on all traits under later sown condition. The magnitude and direction of different components (d), (h), (i), (j) and (l) of gene effects were influenced by the environments and also by the parents involved in the crosses. In most of the cases digenic interaction model was adequate to explain different components of genetic variance. Most of the characters under studied including seed yield were found to be controlled by both additive as well as non-additive gene effects along with preponderance of non-additive gene effects under both the conditions. The breeding methods suggested to achieve this objective are inter-mating the most desirable segregants followed selection, diallel selective mating system, multiple crosses and bi-parental mating. However, some of the characters in few crosses were governed or prepended by fixable (additive and/or additive x additive) gene effects hence, these characters could be improved through pedigree method of selection.
Geospatial analysis of suicide rates in Colombia, and its association with sociodemographic and socioeconomic indexes
Authors: Vasquez Daniel
Published: September 2023

Objectives
To analyze the geospatial pattern and geographic inequality of suicide rate and their association between sociodemographic and socioeconomic indicators in Colombian cities between 2015 and 2021.
Methodology:
Cross-sectional, ecological study. The crude and adjusted suicide rate for each city and different sociodemographic and socioeconomic indicators were calculated to construct a multilevel explanatory model of the distribution and spatial pattern of suicide mortality rates, and spatial associations were evaluated at the global and local levels.
Results
The median suicide attempt rate was 48.6 cases per 100,000 population and the median SR was 7.25 cases per 100,000 population. The explanatory model included the rate of suicide attempts, unemployment, the number of mental health institutions, the percentage of lifetime problematic alcohol consumption, multidimensional poverty by headwaters, and the monetary poverty gap. This model showed a reduction in the estimated suicide rate with an explained variance of 66.7% (Null: SR = 7.3, MRR = 1.64, Moran = 0.2; Final: SR = 5.4, MRR = 1.3, Moran=-0.05).
Conclusions
Evidence is provided that cities with more unfavorable sociodemographic and socioeconomic ecological conditions tend to have higher suicide mortality rates and are neighbors, whose spatial pattern implies a geographic inequality of magnitude greater than the strength of association with the sociodemographic and socioeconomic variables. Furthermore, there is a higher mortality in men but a greater magnitude of inequality for women.
Prediction and analysis of relative error in electric vehicle charging stations based on an improved ConvFormer model
Authors: Liwen CHEN , Qingquan YU , Xing Jiang , Huanghui ZHANG
Published: September 2023

In order to address the issue of metering inaccuracies in charging stations that directly affect the development of electric vehicles, a prediction method for the relative error of charging stations based on the ConvFormer model is proposed. First, charging station data is preprocessed using forward interpolation and normalization methods, and the dataset is transformed into a dataset of input relative errors. Then, a neural network with an improved unidirectional convolutional and attention combination for time-series forecasting is constructed, and common regression performance evaluation metrics, MAE and MSE, are selected for evaluation. Finally, based on seven days of charging station data, the relative error of charging stations for the next 24 hours is predicted, and compared to traditional Transformer and LSTM (Long Short-Term Memory) time-series models. The results show that the improved model yields the lowest values for both MAE and MSE, with a 57.05% reduction in MAE compared to the Transformer model and a 51.48% reduction compared to LSTM, and a 66.95% reduction in MSE compared to the Transformer model and approximately 62.23% reduction compared to LSTM.
Title: Do third age adults benefit equally in well-being from activity participation? The moderating effect of financial status
Authors: Qin Nan , Lai Daniel W. L.
Published: September 2023

The relationship between activity participation and well-being has been well documented for third age adults. However, little has been known about how the financial status influences this relationship. This study aims to investigate the moderating effect of financial status on the association of activity level with subjective happiness and quality of life among third age adults. Systematic sampling was used to select a sample of 304 adults aged 50 and older from an active ageing institute in Hong Kong. Hierarchical regression analyses indicated that activity level was a salient predictor for subjective happiness and quality of life when controlling for socio-demographics. It was not salient anymore when its interaction term with financial status was added to the model. The interaction term significantly predicted quality of life but not subjective happiness. When the data were separated by financial status, activity level saliently predicted subjective happiness and quality of life for participants with good or very good financial statuses but not for those with poor or average statuses. The results suggested a wealth gap in the relationship between activity participation and well-being among third age adults.
Landslide deformation in the loess area of northwest China based on SBAS-InSAR technique: spatial distribution, factors and risk assessment
Authors: Tian Haibo , kou pinglang , Xu Qiang , Tao Yuxiang , Jin Zhao , Xia Ying , Feng Jiangfan , Liu Rui , Gou Yongcheng
Published: September 2023

Landslides are prevalent in the ecologically fragile loess plateau of central China. However, research on the monitoring and assessment of large-scale landslides is scarce. This study collected 31 ascending and descending Sentinel-1A images from January 4, 2020, to August 9, 2022. The Small Baseline Subset Synthetic Aperture Radar Interferometry (SBAS-InSAR) technique was utilized to quantify subsidence, indirectly reflecting the deformation rate of landslides in the Loess Plateau. The research findings reveal that during the study period, the average line-of-sight (LOS) surface displacement rate in the region reached 118 mm/yr, with a maximum offset distance of 298 mm. The results showed, 491 active, hazardous landslides clustered within the region, with 14 landslides posing extreme risks to the Yellow River, highways and over 10,000 residents. We discovered an uneven distribution of landslides within the study area, likely attributed to complex geological backgrounds and environmental conditions. Continuous tension crack formation was observed as landslide fronts slid rapidly, which could be easily detected on satellite maps. The formation of landslides was influenced by various factors, and this study statistically investigated factors such as DEM, Aspect, Slope, and NDVI. landslides were mainly distributed within a slope range of 20–40°. Additionally, a comprehensive analysis was conducted on the geomorphological features, displacement magnitudes, and potential hazards and risk levels to the surrounding environment for 14 representative landslides. we observed a high correlation between landslide displacement and monthly precipitation. The research findings are of significant importance in understanding landslide activity, deformation processes, and conducting risk assessments for landslides.
RNA-sequencing analysis reveals the potential mechanism by which a Dioscorea polystachya (Chinese yam) protein ameliorates hyperglycemia-induced endothelial dysfunction
Authors: Yu Shiting , Xing Xin , Jiang Leilei , Feng Jiabao , Zhang He , Li Siqi , Zhao Daqing , Wang Siming , Liu Shichao , Liu Meichen
Published: September 2023

Background
Hyperglycemia-induced endothelial dysfunction is one of the most crucial factors leading to disability and death in patients with diabetes mellitus (DM). Dioscorea polystachya (Chinese yam), a well-known ingredient used in traditional Chinese medicine, contains various bioactive components that have been widely used to treat endothelium-related diseases. The aim of this study was to explore the molecular mechanism and therapeutic targets of the Chinese yam protein DP1 on hyperglycemia-induced endothelial dysfunction.
Methods and results
We first investigated the effect of DP1 isolated from Chinese yam, on human umbilical vein endothelial cells (HUVECs) that had been exposed to high-glucose (HG, 30 mmol/L) conditions for 48 h. CCK-8 assay showed that DP1 enhanced HUVECs viability. ELISA and tube formation assays indicated that DP1 increased NO levels and promoted angiogenesis by increasing node numbers, mesh numbers, and tube length. Moreover, SA-β-gal staining showed that DP1 inhibited the HG-induced increase in the percentage of senescent cells. RNA-sequencing analysis revealed a total of 335 DEGs between the HG group and the DP1 group. Gene expression profiling showed that NUMBL, AFDN, ITGA6, ITGB1, DSP, AGO2, QKI, FBXW7, YAP1, CCBE1, NCL, SIRT1, JUND, PRKDC, PTEN, CDK6, KAT6A, NFATC3, PPP1CA, and MIF might play key roles in mediating the effects of DP1 treatment on HG-induced endothelial dysfunction by regulating angiogenesis and cellular senescence, and these findings were validated by RT-PCR.
Conclusion
This study deepens our current knowledge of the molecular effects of DP1 on hyperglycemia-induced endothelial dysfunction and suggests a possible strategy for treating endothelium-related diseases using a Chinese yam protein.
Pollution characteristics and health risk assessment of PM2.5 bound PAHs during heating season in industrial urban area of Jinan City, China
Authors: Wang Yan , Gao Yanxin , Yu Zhigang , Liu Qiang , Li Renbo , Wu Xingbin , Du Yinglin , Sui Shaofeng
Published: September 2023

This study was aimed to analyze temporal trends, pollution sources and carcinogenic health risks of atmospheric PM2.5-bound polycyclic aromatic hydrocarbons (PAHs) from the northeastern industrial urban area of Jinan city in the heating season. A total of 245 PM2.5 samples were collected during the heating season from Nov. 2014 to Mar. 2021. The average daily concentrations of Σ16PAHs ranged from 0.25 ng∙m− 3 to 733.69 ng∙m− 3, with an overall trend of increasing firstly and then decreasing gradually. Human health risk assessments of respiratory exposure to PAHs in PM2.5 were conducted by using probabilistic method from the United States Environmental Protection Agency (USEPA). The main sources of PAHs are diesel, gasoline, coal, vehicles and industrial furnaces. The 95th percentile of lifetime carcinogenic risks of Σ16PAHs ranged from 0.43×10− 6 to 2.84×10− 6. The differences between cancer risks of PAHs in different heating seasons were of statistically significant (P < 0.001). Higher cancer risks of PAHs exposure were presented from winter 2015 to spring 2016. After 2017, the cancer risks of PAHs to population were below the acceptable level of 1× 10− 6.
Averaging for stochastic perturbations of integrable systems
Authors: Huang Guan , Kuksin Sergei , Piatnitski Andrey
Published: September 2023

We are concerned with averaging theorems for $\eps$-small stochastic perturbations of integrable equations in $\R^d \times \T^n =\{(I,\f)\}$
$$\dot I(t) =0, \quad \dot \f(t) = \theta(I), \eqno{ (1)}$$
and in $\R^{2n} = \{ v=(\bv_1, \dots, \bv_n), \ \bv_j \in \R^2\}$,
$$\dot\bv_k(t) =W_k(I) \bv_k^\perp, \quad k=1, \dots, n, \eqno{ (2)}$$
where $I=(I_1, \dots, I_n)$ is the vector of actions, $I_j = \frac12 \| \bv_j\|^2$.The vector-functions $\theta$ and $W$ are locally Lipschitz and non-degenerate. Perturbations of these equations are assumed to be locally Lipschitz and such that some few first moments of the norms of their solutions are bounded uniformly in $\eps$, for $0\le t\le \eps^{-1} T$. For $I$-components of solutions for perturbations of (1) we establish their convergence in law to solutions of the corresponding averaged $I$-equations, when $0\le \tau := \eps t\le T$ and $\eps\to0$. Then we show that if the system of averaged $I$-equations is mixing, then the convergence is uniform in the slow time $\tau=\eps t\ge0$.
Next using these results, for $\eps$-perturbed equations (2) we construct well posed {\it effective stochastic equations} for $v(\tau)\in \R^{2n}$ (independent of $\eps$) such that when $\eps\to0$, the actions of solutions for the perturbed equations with $t:= \tau/\eps$ converge in distribution to actions of solutions for the effective equations. Again, if the effective system is mixing, this convergence is uniform in the slow time $\tau \ge0$.
We provide easy sufficient conditions on the perturbed equations which ensure that our results apply to their solutions.
Tracking and Co-Location of Global Point Clouds for Large-Area Indoor Environments
Authors: Michiels Nick , Jorissen Lode , Put Jeroen , Liesenborgs Jori , Vandebroeck Isjtar , Joris Eric , Reeth Frank Van
Published: September 2023

Extended Reality (XR) experiences are on the verge of becoming widely adopted in diverse application domains. An essential part of the technology is accurate tracking and localization of the headset to create an immersive experience. A subset of the application domains requires perfect co-location between the real and the virtual world, where virtual objects are aligned with real-world counterparts. Current headsets support co-location for small areas, but suffer from drift when scaling up to larger ones such as buildings or factories. This paper proposes tools and solutions for this challenge by splitting up the simultaneous localization and mapping (SLAM) into separate mapping and localization stages. In the pre-processing stage, a feature map is built for the entire tracking area. A global optimizer is applied to correct the deformations caused by drift, guided by a sparse set of ground truth markers in the point cloud of a laser scan. Optionally, further refinement is applied by matching features between the ground truth keyframe images and their rendered-out SLAM estimates of the point cloud. In the second, real-time stage, the rectified feature map is used to perform localization and sensor fusion between the global tracking and the headset. The results show that the approach achieves robust co-location between the virtual and the real 3D environment for large and complex tracking environments.
Rational Engineering of Magnetic recyclable S-scheme FeS 2 /TiO 2 heterojunction for photocatalytic destruction of rhodamine B dye under full broad spectrum
Authors: Alsalme Ali , Nabeh Nagy , Hasan Mohamed , Abdel-Messih M. F. , sultan Ayman , Ismail mohamed
Published: September 2023

Precise tunable of heterojunctions with strong redox power is future challenge in photocatalytic treatment of wastewater and energy production. The circuit of the heterojunction must carefully built of two semiconductors aligned in band gap structure with large redox potential difference. Sonicated FeS2/TiO2 magnetic heterojunctions containing various proportion of FeS2 [0-10%] are synthesized for expelling rhodamine B dye under solar radiations. Magnetic FeS2 nanoparticles are synthesized through controlled sonochemical route with precise drying under N2-atmosphere to avoid the simultaneous oxidation of Fe2+ to Fe3+ ions. Different compositions of black magnetic FeS2 nanoparticles are deposited sonochemically on TiO2 surface. The nanostructure, crystalline and optical properties of the solid specimens are thoroughly evaluated by HRTEM, BET, Zeta potential measurements, and XRD, PL and DRS techniques. Black magnetic FeS2 nanoparticles are efficiently transfer the absorbability of the heterojunction to deep visible and NIR regions by exceptional reducing the band gap energy of TiO2 from 3.22 to 1.47 eV. The electron-hole recombination is effectively depressed by 50 % as elucidated from PL analysis. The photocatalytic reactivity of FeS2/TiO2 outperformed TiO2 and FeS2 by 1.4 and 1.6 times in removal of RhB dye. Delightfully, 95 % of RhB dye degrades effectively on the heterojunction containing 95 wt % TiO2 and 5 wt % FeS2 during two hours of light illumination compared with 97% removal over pristine titania. This extra-ordinary efficiency is ascribed to impulsive role of FeS2 in elevating the electron-hole transportation and separation. A wealth of S-scheme heterojunction charge transportation mechanism is verified through scrubber trapping experiments and PL measurements of terephthalic acid. The hole-electron pair accumulated in the valence and conduction bands of TiO2 and FeS2 nanoparticles, respectively are the spacious charge carriers consumed in the photodegradation process. In conclusion, magnetic S-scheme FeS2/TiO2 heterojunction can convert full solar absorption spectrum into chemical energy dissipated in destruction of toxic organic dye emerged from different wastewater resources.
Dysregulation of SMURF1 by miR-1292-5p involves in lung adenocarcinoma EMT via BMPR2/p-Smad5 signal pathway
Authors: Liu Dewei , Li Lixia , Xu Zhiyi , Huang Jiawei , Zhao Xuanna , Chen Tingting , Li Dongming , Wu Bin , Liang Zhu , Huang Dan , Wu Dong
Published: September 2023

MicroRNAs have been shown to play a vital role in lung adenocarcinoma (LUAD) progression. In this study, we examined the underlying mechanism and biological functions of miR-1292-5p in LUAD. In LUAD tissues and cell lines, the expression of miR-1292-5p was detected using quantitative real-time polymerase chain reaction. The impact of miR-1292-5p in LUAD cells was assessed both in vitro and in vivo, while the formation of filopodia was analyzed through immunofluorescence staining. Analysis of clinical features revealed the correlation of miR-1292-5p expression and LUAD prognosis. The regulatory relationship of miR-1292-5p and SMURF1 was investigated by dual-luciferase assay and rescue experiment. The signal pathway of epithelial-to-mesenchymal transition was analyzed by western blot. The expression of miR-1292-5p, an upregulated miRNA, was detected in LUAD tissues and cell lines. Its expression showed correlation with the prognosis of LUAD. In vitro and in vivo experiments demonstrated that the overexpression of miR-1292-5p led to the promotion of migration and invasion in LUAD cells. Additionally, it induced the formation of filopodia. Mechanistically, miR-1292-5p targeted SMURF1 to regulate epithelial-to-mesenchymal transition via the BMPR2/p-Smad5 signal pathway in LUAD cells. Our study reveals that dysregulation of SMURF1 targeted by miR-1292-5p influences migration and invasion, and induces epithelial-to-mesenchymal transition by activating the BMPR2/p-Smad5 signal pathway in LUAD.
Breast and cervical cancer screenings across gender identity: results from the Behavioral Risk Factor Surveillance System before and during the COVID-19 pandemic
Authors: Berzansky Isa , Reynolds Colleen , Charlton Brittany
Published: September 2023

Purpose
Although national medical organizations often neglect to include trans and gender diverse (TGD) people in their breast and cervical cancer screening recommendations, the World Profession Association of Transgender Health recommends that TGD people who are at risk for these cancers follow existing guidelines for cisgender women. Despite WPATH’s recommendations, TGD people are less likely to get screened in large part due to discrimination. The COVID-19 pandemic has limited access to cancer screenings among cisgender people, but it is unknown how this has impacted TGD people.
Methods
Using national survey data from the Behavioral Risk Factors Surveillance System (BRFSS), we examined differences in cervical and breast cancer screening noncompliance across gender identity at two time points: before and during the COVID-19 pandemic.
Results
Screening noncompliance increased during the COVID-19 pandemic among cisgender and TGD people (e.g., transmen, gender non-conforming people). Compared to cisgender women, transmen and gender non-conforming respondents had higher odds of breast cancer screening noncompliance before and during COVID-19. Transmen had lower odds of cervical cancer screening noncompliance than cisgender women before COVID-19, but higher odds during the pandemic. Gender non-conforming respondents also had lower odds of cervical cancer screening noncompliance during COVID-19 compared to cisgender women.
Conclusions
Screening noncompliance for breast and cervical cancer was more common among TGD people than cisgender women; while these disparities existed before the COVID-19 pandemic, they were exacerbated during the pandemic. Future work should move beyond descriptive statistics and elucidate underlying causes to inform interventions.
Antifungal Susceptibility Pattern of Candida species Isolated from Pregnant Women in ‎Hajjah City, Yemen
Authors: Edrees Wadhah
Published: September 2023

Background and Aims: Candida species, opportunistic yeast, are the second most common cause of female vulvovaginal candidiasis. This study aimed to evaluate the antifungal susceptibility profile of the isolated Candida species in pregnant women in Hajjah City, Yemen.
Materials and Methods: A hospital-based cross-sectional study was conducted among 396 pregnant women attending Authority AL-Gumhorri Hospital Hajjah between February and July 2023. Vaginal swabs were collected, and Candida species were isolated and identified based on the standard laboratory method. Furthermore, the antifungal drug susceptibility of Candida species was determined by the Kirby-Bauer technique.
Results: The prevalence of vaginal Candida infection among pregnant women was 61.4%. Candida albicans and non-albicans Candida had prevalence rates of 59.26% and 40.74%, respectively. The highest rate of Candida infections was among women aged 24–30 years (71.9%) who finished primary school (77.8%), with the third trimester (80%), multigravida (66.1%), and recurrent infection (67.7%) showing significant differences (P ˂ 0.05). The isolated Candida species revealed susceptibility to ketoconazole (89.7%), amphotericin B (84.8%), miconazole (84.8%), itraconazole (83.5%), and fluconazole (79%). In contrast, 30.5% of Candida species were resistant to clotrimazole. Additionally, approximately 46.2% of isolated Candida albicans exhibited one kind of antifungal drug resistance, whereas 38.7% of isolated non-albicans exhibited resistance to three different antifungal agents.
Conclusion: According to the above findings, Candida infection is highly prevalent in Yemen and quite widespread. Interventions in health education are advised to increase women's knowledge of vaginitis and its prevention. The antifungal susceptibility test may also be helpful in determining the best medication for each patient.
Seismic Anisotropy Assessment based on Machine Learning Approaches
Authors: Zhao Guibin , Bouchaala Fateh , Jouini Mohamed S
Published: September 2023

Estimation of seismic anisotropy parameters such as Thomson’s parameters is crucial in investigating fractured and finely layered geological media. However, most of inversion methods rely on complex physical models with initial assumptions, making the estimate non-reproducible and fracture interpretation subjective. To address these issues, we have proposed three classical machine learning methods and one deep learning algorithm to estimate Thomsen's parameters, namely Support Vector Regression, Extreme Gradient Boost, Multi-layer Perceptron and one-dimensional Convolutional Neural Network. Synthetic data were generated by using earth model by using well data within a finite difference numerical program. After a thorough investigation of synthetic data, amplitudes of direct and reflected waves in time and frequency domain were selected as input features to train machine learning methods. The optimization of machine learning hyperparameters enables the accomplishment of training and testing procedures were reached with high accuracies. Subsequently, the optimized machine learning methods were used to predict Thomsen’s parameters (\({\epsilon }\) and \({\delta }\)) of a shaley formation in the zone area. The estimated \({\epsilon }\) and \({\delta }\) were compared with reference values obtained at well location by using physics-based model. The least relative errors beween reference and machine learning Thomson’s parameters are spanning from 2.92–7.14%.
Analytical solutions of systems of linear retarded and neutral delay differential equations by the Laplace transform: featuring limit cycles
Authors: Kerr Gilbert , Lopez Nehemiah , Gonzalez-Parra Gilberto
Published: September 2023

In this paper we develop an approach for obtaining the solutions to systems of linear retarded and neutral delay differential equations. Our analytical approach is based on the Laplace transform, inverse Laplace transform and the Cauchy residue theorem. The obtained solutions have the form of infinite non-harmonic Fourier series. The main advantage of the proposed approach is the closed-form of the solutions, which are capable of accurately evaluating the solution at any time. Moreover, it allows one to study the asymptotic behavior of the solutions. A remarkable discovery, which to the best of our knowledge has never been presented in the literature, is that there are some particular linear systems of both retarded and neutral delay differential equations for which the solution approaches asymptotically to a limit cycle. The well-known method of steps in many cases is unable to obtain the asymptotic behavior of the solution and would most likely fail to detect such cycles. Examples illustrating the Laplace transform method for linear systems of DDEs are presented and discussed. These examples are designed to facilitate a discussion on how the spectral properties of the matrices determine the manner in which one proceeds and how they impact the behavior of the solution. Comparisons with the exact solution provided by the method of steps are presented. Finally, we should mention that the solutions generated by the Laplace transform are, in most instances, extremely accurate even when the truncated series is limited to only a handful of terms and in many cases becomes more accurate as the independent variable increases.
Physico-chemical and acoustic behaviour of Potassium metabisulphite salts in aqueous medium
Authors: Chanderasekaran J. H. Rakini , Nithiyanantham S.
Published: September 2023

Density, viscosity and ultrasonic velocity through which liquids and liquid mixtures analysed by means of understanding molecular interactions. In the present paper, relaxation time, relaxation amplitude, ultrasonic attenuation, relative association, isentropic compressibility, Vander Waal’s constant, internal pressure, equivalent conductance, cohesive energy barrier, molar volume, molar solvation number and some related parameters for aqueous solution of potassium metabisulphite at different concentration and temperature ranges have been estimated through velocity measurements at 2 MHz frequency. There has also been research on the ability of the solute to form or break structures in water solvents. A statistical method called the ANOVA technique has been employed to qualitatively analyse the obtained results. A food preservative known as potassium metabisulphite preserves the natural colour of food. In beverages such as wine, juice, and beer, it acts as a bleaching agent. Besides protecting against bacteria, it also sanitizes fermenting vessels and wine bottles. Tap water can sometimes be disinfected using it in order to remove chloramines. A living being is dependent on water to survive and plays a vital role within the environment. So, it becomes extremely relevant to investigate the physio-chemical behaviour of potassium metabisulphite salts in water.