bluuebunny/crossref_metadata_2025_split huggingface dataset:
Potential Impact of Insect Pollinators on the yield and quality of different cultivars of Cucumber (Cucumis sativus L.)
Authors: Mamoon-ur-Rashid Muhammad , Ali Habib 
Published: August 2023

Abstract
Cucumber (Cucumis sativus L.), a cross-pollinated crop of significant agricultural importance, we investigated the factors influencing cucumber fruit size, emphasizing the role of proper pollination. Four distinct cultivars, namely Quice, Dynasty, Mailini, and Full Moon cucumber, were employed in a comprehensive experimental setup. The study followed a split-plot design, comparing caged and un-caged conditions. Our results, based on data collected on fruit weight, length, the number of fruits per plant, and overall cucumber yield, unveiled critical insights into the pivotal role of insect pollinators in cucumber cultivation. Notably, six different species of insect pollinators, representing two orders within Hymenoptera and Lepidoptera, were identified as frequent visitors to cucumber blooms. The findings conclusively demonstrated that cucumber plants grown under un-caged conditions, with unrestricted access to insect pollinators, exhibited substantial improvements in various key parameters. This encompassed a significant increase in fruit weight, fruit length, the number of fruits per plant, and ultimately, the overall yield of the cucumber crop. Additionally, we observed that among the insect pollinators, honey bees displayed the highest mean foraging and population activities during the evening hours, emphasizing their particular importance in the pollination process. In light of these findings, we draw the important conclusion that cucumber is a crop highly dependent on pollinators, with insect pollinators playing an indispensable role in influencing both the quantity and quality of the cucumber yield. As a practical recommendation, we suggest that the strategic placement of honeybee colonies in close proximity to cucumber fields, specifically initiated 2 to 3 days after the commencement of flowering, can significantly enhance cucumber yields, thereby benefiting both growers and the agricultural industry as a whole. This study underscores the critical importance of pollinators in modern agriculture and highlights the potential for improved crop management strategies to maximize yield and quality.
Mammogram Uptake from Social Determinants of Health Can Be Lost in Translation to Individual Patients
Authors: Davis Matthew , Simpson Kit , Diaz Vanessa , Alekseyenko Alexander V. 
Published: August 2023

Abstract
Purpose
The objective of this study is to describe patterns in barriers to breast cancer screening uptake with the end goal of improving screening adherence and decreasing the burden of mortality due to breast cancer. This study looks at social determinants of health and their association to screening and mortality. It also investigates the extent that models trained on county data are generalizable to individuals.
Methods
County level screening uptake and age adjusted mortality due to breast cancer are combined with the Centers for Disease Controls Social Vulnerability Index (SVI) to train a model predicting screening uptake rates. Patterns learned are then applied to de-identified electronic medical records from individual patients to make predictions on mammogram screening follow through.
Results
Accurate predictions can be made about a county’s breast cancer screening uptake with the SVI. However, the association between increased screening, and decreased age adjusted mortality, doesn’t hold in areas with a high proportion of minority residents. It is also shown that patterns learned from county SVI data have little discriminative power at the patient level.
Conclusion
This study demonstrates that social determinants in the SVI can explain much of the variance in county breast cancer screening rates. However, these same patterns fail to discriminate which patients will have timely follow through of a mammogram screening test. This study also concludes that the core association between increased screening and decreased age adjusted mortality does not hold in high proportion minority areas.
The Brexit Impact on Inward FDI in the UK
Authors: Ellalee Haider , Alali Walid Y 
Published: August 2023

Abstract
This paper examines the potential Brexit impact on inward FDI (foreign direct investment) through its potential impact on the variables of the benchmark characterising the macroeconomy. Therefore, we propose to use automatic structural vector regression of Markov system change to distinguish between fluctuating and steady-state states of economics and compute, among others, the contemporary effects that FDI frequency innately generates. Our finds propose that Brexit leads to a depreciation of the pound sterling in the present economic ambience, which will lead to a long-term negative impact on foreign direct investment. The FDI inflows might be affected positively (at most) by the post-Brexit depreciation of the pound sterling only if this circumstance drove the UK economy into a period of inflation, highly volatile growth, interest rates and exchange rates: a rather unlikely scenario. Until then, the benefits of a lower pound sterling will only last for a short time.
End-Effector Impedance Control of Robotic Arm Based on Enhanced Neural Network RBF-PID-PSO
Authors: Wu Gengyao , Zhang Pengfei , Zhang Jie , Ma Ang , Xu Weitao 
Published: August 2023

Abstract
In the current calibration system for power transformers, In the current calibration systems for electrical power transformers, errors in the insertion and extraction of wiring terminals occur due to the reliance solely on camera-based positioning of the terminal's location by the robotic arm. This approach falls short in achieving precise assembly of various transformer terminals. Therefore, it is imperative to introduce active compliant control between the robotic arm's end-effector and the wiring terminal to enable smooth terminal assembly. This paper proposes a mechanical arm end-effector impedance control algorithm based on RBF-PID-PSO for terminal assembly. The algorithm employs a particle swarm optimization technique to adjust the weight matrix and center parameters within the Radial Basis Function (RBF) neural network. Simultaneously, a PID algorithm is introduced to optimize impedance control for end-effector forces. The impedance parameters obtained from the RBF neural network and the PID parameters are incorporated into the robotic arm model. This allows for the conversion of end-effector forces into position errors for impedance control, followed by the transformation of these errors into six joint angles through the robot's inverse kinematics. This ultimately achieves impedance control of end-effector forces. Comparative experiments and simulations conducted in Matlab demonstrate that this controller effectively reduces errors in force and torque control. Furthermore, it exhibits superior resistance to disturbances in force feedback signals, significantly improving compliant control performance.
Deciphering the molecular Classification of pediatric sepsis: Integrating WGCNA and Machine learning-based classification with immune signatures for the development of an advanced diagnostic model
Authors: Huang Junming , Chen Jinji , Wang Chengbang , Chen Shaohua , Mi Hua , Lai Lichuan 
Published: August 2023

Abstract
Background
Pediatric sepsis (PS) is a life-threatening infection associated with high mortality rates, necessitating a deeper understanding of its underlying pathological mechanisms. Recently discovered programmed cell death induced by copper has been implicated in various medical conditions, but its potential involvement in PS remains largely unexplored.
Methods
We first analyzed the expression patterns of cuproptosis-related genes (CRGs) and assessed the immune landscape of PS using the GSE66099 dataset. Subsequently, PS samples were isolated from the same dataset, and consensus clustering was performed based on differentially expressed CRGs. We applied weighted gene co-expression network analysis to identify hub genes associated with PS and cuproptosis. A diagnostic model for PS was then developed, comparing four different machine learning approaches, and its discriminatory performance was validated using quantitative real-time polymerase chain reaction (qRT-PCR) and enzyme-linked immunosorbent assay (ELISA).
Results
We observed aberrant expression of 27 CRGs and a specific immune landscape in PS samples. Our findings revealed that patients in the GSE66099 dataset could be categorized into two cuproptosis clusters, each characterized by unique immune landscapes and varying functional classifications or enriched pathways. Among the machine learning approaches, Extreme Gradient Boosting demonstrated optimal performance as a diagnostic model for PS. Further analysis was conducted on the five most critical variables for subsequent investigation, involving qRT-PCR and ELISA of peripheral blood samples from both PS patients and HC.
Conclusion
Our study provides valuable insights into the molecular mechanisms underlying PS, highlighting the involvement of cuproptosis-related genes and immune cell infiltration.
Real-time traffic sign detection network based on Swin Transformer
Authors: Zhu Wei , Ying Yue , zheng Yayu , Chen Yikai , Huang Shucheng 
Published: August 2023

Abstract
In the field of autonomous driving, the detection of traffic signs remains a significant challenge, especially when it comes to the real-time detection of medium and small targets. The difficulty of detecting small objects decreases accuracy. To address these challenges, we propose a real-time traffic sign detection algorithm based on the Swin Transformer (RTSDST) that improves computation performance and accuracy for multi-scale target detection on SoCs installed onboard autonomous driving vehicles. Our approach includes a head specifically designed for detecting tiny objects, followed by the adoption of Swin Transformer blocks to effectively capture the spatial and channel dependencies of the feature maps, which improves the accuracy of detecting targets of varying sizes. To efficiently identify regions of interest in large coverage images, we employ a Residual Convolutional Attention Module to generate sequential feature maps between the channel and spatial dimensions and weigh them against the original map. A realistic traffic sign detection dataset, Tsinghua-Tencent 100K (TT100K), which includes medium and small traffic sign targets, was adopted in this article to evaluate the effectiveness of our proposed RTSDST. The evaluation results show that RTSDST has excellent performance on multi-scale scenes. Additionally, we also evaluated our network on the VisDrone dataset for small target detection. Our method has state-of-art performance on small targets.
Association of serum osteocalcin with bone microarchitecture and muscle mass in Beijing community-dwelling postmenopausal women.
Authors: Liu Shuying , Pang Qianqian , Guan Wenmin , Yu Fan , Wang Ou , Li Mei , Xing Xiaoping , Yu Wei , Jiang Yan , Xia Weibo 
Published: August 2023

Abstract
Background
Osteoporosis is a systemic skeletal disease with increasing bone fragility and prone to fracture. Osteocalcin (OC), as the most abundant non collagen in bone matrix, has been extensively used in clinic as a biochemical marker of osteogenesis. Two forms of OC were stated on circulation, including carboxylated osteocalcin (cOC) and undercarboxylated osteocalcin (ucOC). OC was not only involved in bone mineralization, but also in the regulation of muscle function.
Objective
This study explored the relationship between serum OC, cOC, ucOC levels and bone mineral density (BMD), bone microarchitecture, muscle mass and physical activity in Chinese postmenopausal women.
Method
216 community-dwelling postmenopausal women were randomized enrolled. All subjects completed biochemical measurements, including serum β-isomer of C-terminal telopeptides of type I collagen (β-CTX), N-terminal propeptide of type 1 procollagen (P1NP), alkaline phosphatase (ALP), OC, cOC and ucOC. They completed X-ray absorptiometry (DXA) scan to measure BMD, appendicular lean mass (ALM) and trabecular bone score (TBS). They completed high resolution peripheral quantitative CT (HR-pQCT) to assess peripheral bone microarchitectures.
Results
Serum OC, cOC and ucOC were elevated in osteoporosis postmenopausal women. In bone geometry, serum ucOC was positively related with total bone area (Tt.Ar) and trabecular area(Tb.Ar). In bone volumetric density, serum OC and ucOC were negatively associated with total volume bone mineral density (Tt.vBMD) and trabecular volume bone mineral density (Tb.vBMD). In bone microarchitecture, serum OC and ucOC were negatively correlative with Tb.N and Tb.BV/TV, and were positively correlated with Tb.Sp. Serum OC and ucOC were positively associated with Tb.1/N.SD. Serum OC was negatively related with Tb.Th. Serum ucOC was positively associated with ALM. The high level of serum OC was the risk factor of osteoporosis. ALM was the protective factor for osteoporosis.
Conclusion
All forms of serum OC were negatively associated with BMD. Serum OC and ucOC mainly influenced microstructure of trabecular bone in peripheral skeletons. Serum ucOC participated in modulating both bone microstructure and muscle mass.
Quality of life and affecting factors in myelofibrosis patients
Authors: Cho Yoo-Rin , Yoo Yang-Sook , Lee Sung-Eun 
Published: August 2023

Abstract
Purpose
This descriptive survey study aimed to identify factors that affect the health-related quality of life (HRQOL) of patients with myelofibrosis (MF), including primary MF, post-polycythemia vera MF, or post-essential thrombocythemia MF .
Methods
The study enrolled 189 myelofibrosis patients who were treated at the outpatient department of Seoul St. Mary's Hospital, the Catholic University of Korea, and data were collected using a structured questionnaire such as European Organization for Research and Treatment of Cancer (EORTC) Quality of Life Questionnaire-Core (QLQ-C) 30 version 3.0. To explore the factors for affecting HRQOL, demographic, socioeconomic variables as well as disease-related variables were also collected.
Results
The quality of life of myelofibrosis patients averaged 41.53 out of 100; physical functioning was the lowest at 74.70, followed by social functioning at 75.22, and role functioning at 76.94. In terms of symptomatic quality of life, fatigue had the lowest score of 35.21, followed by insomnia and dyspnea at 26.45, and financial difficulties at 22.39. As for factors affecting quality of life, the higher the risk stratification (DIPSS Intermediate-2 and High), the lower the functional and symptomatic quality of life.
Conclusion
In this study, we demonstrate that HRQOL was strongly associated with myeloproliferative neoplasm symptoms and the independent factors affecting HRQOL in myelofibrosis patients. These findings can provide the help to develop interventions that can improve HRQOL of myelofibrosis patients.
Flexible capacitive humidity sensor based on potassium ion-doped PVA/CAB double-layer sensing film
Authors: Zhang Yonghua Zhang , Yao Songping , Zhang Jian , Kang Ling , Karthikeyan Sreejith , Wang Changlun 
Published: August 2023

Abstract

Humidity measurement plays an essential role in industrial and agricultural production, meteorological monitoring, medical services, and people’s comfortable life. Polymer materials-based humidity sensors have gained much research focus due to the good dielectric properties and the compatibility with a variety of coating and pattern processes of polymer materials. In this paper, for the first time, a flexible capacitive humidity sensor is presented based on doped polyvinyl alcohol (PVA)/ cellulose acetate butyrate (CAB) double-layer sensing film and polyimide (PI) substrate. Potassium ions (K+) are introduced into PVA for high effective capacitance, and CAB is used as protective film for preventing the hydrolysis of the doped PVA layer in high humidity environment. The fabricated novel sensor with a size of 20×20mm2 has a capacitance of 61.84pF at 10 percentage relative humidity (% RH) and 188.42pF at 90% RH. The average sensitivity is 1.414 pF/% RH. The maximum humidity hysteresis is about 5.83% RH at 50% RH. The response and recovery times from 25% RH to 75% RH were likewise measured to be 78.71s and 6.19s, respectively. In addition, the long-time measurements for 7 days and bending tests for 5000 cycles demonstrated a good long-time humidity detecting stability and high mechanical flexibility for the capacitive humidity sensor based on potassium ion-doped PVA/CAB double-layer sensing film.
Bactericidal and fungicidal activities of silver nanoparticles from tomato peel waste and its application in disinfecting metallic surfaces
Authors: Ali Esraa , Abd-Elhalim Basma T. , Hesham Esraa , Ahmed Shimaa , Mostafa Habiba , Gamal Ahmed , El-Sayed Salwa M. , Bakry Ashraf , Ebeed Naglaa , Elhariry Hesham , Galal Ahmed , Abu-Hussien Samah H. 
Published: August 2023

Abstract
According to their special physio-chemical properties, Nanoparticles have gained worldwide attention as a new bio-alternative for chemical control agents. This investigation aims to the eco-friendly synthesis of nanosilver particles from tomato peel extract(TPE-AgNPs) and evaluates their characteristics and inhibitory activities against pathogenic bacteria and fungi as well as their role in metallic surface disinfecting. To initiate biosynthesis, tomato peel extract was mixed with silver nitrate(AgNO3) solution until the color changes to reddish brown. Ultraviolet(UV-Visible) spectroscopy, Fourier-transform infrared(FTIR) spectroscopy, X-ray diffraction(XRD) analysis, and high resolution transmission electron microscopy(HR-TEM) techniques were used to characterize biosynthesized TPE-AgNPs. Results recorded that obtained TPE-AgNPs had a strong score(238nm) of Plasmon resonance(SPR) by SPR of 4.5. Functional groups of carboxyl, hydroxyl, phenolic, and amide groups existed and were detected by the FTIR spectrum. The synthesized TPE-AgNPs had an amorphous nature which was confirmed by XRD analysis. TEM analysis showed semi-spherical TPE-AgNPs sized from 4.44-27.59nm. The biosynthesized TPE-AgNPs had a negative zeta potential of -68.44 mV. The inhibitory activities of synthesized TPE-AgNPs were evaluated against eleven microbial pathogenic using well diffusion method, inhibition zone diameter(IZD) was measured in centimeters. Results showed that B. subtilis and E.coli was the most sensitive pathogens with IZD of 4.0 and 0.92cm, respectively However, L. monocytogenes and S. sonnei were the most resistant pathogens with IZD of 0.92 and 0.90 cm, respectively. Synthesized TPE-AgNPs from tomato peels had good inhibitory potentials against pathogenic fungi with IZD of 3.0 and 0.92cm against A. solani and C. albicans, respectively. Applying the use of TPE-AgNPs as bio disinfectant significantly decreased the microbial load of metallic blades and proves its efficiency as a disinfectant agent after 120min. of contacting. So, more applications on disinfecting metallic surfaces such as dentistry are indeed needed.
The Portrayal of Indigenous Knowledge Assets in Ethiopian Curricular and Pedagogic Practices : The Case of Oromo Indigenous Knowledge (Ethiopia)
Authors: Kufi Endalew 
Published: August 2023

Abstract
This research dealt with assessing the portrayal of Oromo Belief system in both liberal and secular educational provisions from the past to the present in order to mark the place of ritual and cultural endowments attached to Oromo Governance and Belief Systems.. Contextual discourse analysis was used in order to intensify the gap between religio-cultural and pedagogic/andragogic practices. The documents were selected through criterion sampling technique. Units of analysis were research articles and textbooks units. In the study, the findings indicated that, the Oromo religious and cultural endowments were regarded as ungodly and archaic where Orthodox Christian and Islam Religions were considered more advanced. In the feudal regime, the Orthodox Christian Religion dominated almost all views as a state-religion. In the socialist-era, the Marxist-Leninist Ideology overshadowed all religious thoughts excepting Orthodox Christian Religion and Islam to some extent. In the current federal system, all religions are said to be developing taken the system of education as secular and non-existence of any state-religion. Yet, the educational values of religion, especially indigenous religious views such as of Waaqeffannaa of Oromo and notable socio-cultural institutions are, still, denigrated since they are more ceremonial than practical. To that end, the upcoming generation is more likely to be kept far away from the indigenous religion and cultural endowments.
Prior water availability modifies the effect of heavy rainfall on dengue transmission: a time series analysis of passive surveillance data from southern China
Authors: Cheng Qu , Jing Qinlong , Collender Philip A. , Head Jennifer R. , Li Qi , Yu Hailan , Li Zhichao , Ju Yang , Chen Tianmu , Wang Peng , Cleary Eimear , Lai Shengjie 
Published: August 2023

Abstract
Background
Given the rapid geographic spread of dengue and the growing frequency and intensity of heavy rainfall events, it is imperative to understand the relationship between these phenomena in order to propose effective interventions. However, studies exploring the association between heavy rainfall and dengue infection risk have reached conflicting conclusions.
Methods
In this study, we use a distributed lag non-linear model to examine the association between dengue infection risk and heavy rainfall in Guangzhou, a dengue transmission hotspot in southern China, stratified by prior water availability.
Results
Our findings suggest that the effects of heavy rainfall are likely to be modified by prior water availability. A 24–55 day lagged impact of heavy rainfall was associated with an increase in dengue risk when prior water availability was low, with the greatest incidence rate ratio (IRR) of 1.37 (95% credible interval (CI): 1.02–1.83) occurring at a lag of 27 days. In contrast, a heavy rainfall lag of 7-121 days decreased dengue risk when prior water availability was high, with the lowest IRR of 0.59 (95% CI: 0.43–0.79), occurring at a lag of 45 days.
Conclusions
These findings may help to reconcile the inconsistent conclusions reached by previous studies and improve our understanding of the complex relationship between heavy rainfall and dengue infection risk.