bluuebunny/crossref_metadata_2025 huggingface dataset:
Use of transradial access to install two sequential stents for pseudoaneurysms along the celiac artery and common hepatic artery axes: A case report
Authors: Ghosh Abheek , Agnihotri Tanvir , Lee Sean , Akhter Nabeel
Published: September 2023

Background
Transfemoral access (TFA) is the usual method for stenting visceral aneurysms. Here, we utilized transradial access (TRA) to sequentially place two stents for pseudoaneurysms in the celiac artery (CA) and common hepatic artery (CHA).
Case Presentation
58-yo male with pancreatic cancer s/p distal pancreatectomy presents with decreasing hemoglobin. Imaging showed evidence of intraperitoneal bleeding secondary to CA and CHA pseudoaneurysms. Due to coagulopathic concerns, stenting was pursued along these axes via TRA. Left radial artery (RA) sonogram revealed a Barbeau B waveform. After the left RA was accessed, a 5-Fr slender sheath was placed over a 0.018 wire. Over Bentson wire, a 5-Fr pigtail catheter was then placed into the abdominal aorta. Next, a catheter was exchanged over wire for a 5-Fr Ultimate catheter, and the superior mesenteric artery was selected, followed by the CA. Truselect microcatheter, assisted by fathom wire, was then placed into the CHA and right hepatic artery (HA). A microcatheter was placed deep into the right HA branch; a V18 exchange-length wire was placed through the microcatheter into that branch. A 6-Fr radial sheath was placed over the wire. Two 6mm x 5cm covered self-expanding Viabahn stents were then sequentially placed. The first stent covered the pseudoaneurysm in the CHA; the second stent extended from the first into the celiac axis. An Ultimate catheter was later placed in the celiac axis. Post-stenting arteriogram and angiogram revealed patent stents in the CA and CHA, with no evidence of active arterial extravasation.
Conclusion
TRA may be valuable in stenting visceral aneurysms/pseudoaneurysms.
Analysis of Factors Influencing Plant Diversity in Urban Wetlands Based on Structural Equation Model
Authors: Wang Yue , Yang Guofu , Wei Biao , Zhang Youli , Lu Yijun
Published: September 2023

Urban wetlands play a vital role within the urban ecosystem, and the application of ecological design methods in urban wetland planning and design can significantly enhance their biodiversity and improve the overall service functions of urban ecosystems. This study focuses on three urban wetlands: Xixi Wetland in the core area, Tongjian Lake Wetland in the fringe area, and Qingshan Lake Wetland in the suburban area. Meanwhile, four design factors of water quality protection, shoreline maintenance, ecological facilities, and plant diversity were investigated, together with 34 ecological design methods, based on statistics of the plant species composition of urban wetlands. Using structural equation modeling to screen out the design methods and influence paths that have an appreciable impact on plant diversity. We found variations in the three urban wetlands' plant compositions and ecological design strategies: (1) 336 species of plants were recorded in Xixi Wetland, 179 in Qingshan Lake Wetland, and 112 in Tongjian Lake Wetland; (2) the number of ecological design methods applied in Xixi Wetland is significantly higher than that of Tongjian Lake Wetland and Qingshan Lake Wetland; (3) ten ecological design methods in Qingshan Lake wetland significantly affected plant diversity, while five ecological design methods in both Xixi Wetland and Tongjian Lake wetland significantly affected plant diversity; (4) among all the ecological design methods, four-ecological conservation measures, rain gardens, plant community structure, and the use of different plant species-clearly impact wetland plant diversity. To ensure the protection, differential utilization, and sustainable development of urban wetlands in the context of urbanization, managers and designers should carefully select appropriate ecological design methods based on the specific characteristics of each urban wetland.
Effect of genotype on cadmium and trace element accumulation in wheat from weakly alkaline cadmium-contaminated soil
Authors: Ma Wenyan , Li YuLiang , Ge Chenghao , Mu Chunyi , Wang Min , Cheng Cheng , Zhou Dong-Mei
Published: September 2023

Cadmium (Cd) contamination of farmland soils leads to an increase in Cd accumulation and a decrease in the uptake of micronutrients by crops, posing grave risks to food safety. Herein, we investigated the enrichment and transportation patterns of Cd and trace elements in different parts of six wheat genotypes grown in weakly alkaline Cd-contaminated soils via pot experiments. Additionally, we delved into the connections between trace elements and Cd accumulation in wheat. The results revealed notable variations in the uptake of Cd in wheat grains based on genotype. The wheat grain variety with high Cd accumulation (Ningmai13) demonstrated a 1.94-fold increase compared to the variety with low accumulation (Yanong0428). The enrichment factor of Cd in wheat followed the order: root > stem > grain. Furthermore, the transfer of Cd from wheat straw to grain ranged from 0.319 to 0.761, while the transfer factor of Cd from root to straw ranged from 0.167 to 0.461. Regarding other metals, the concentrations of Zn, Mn, Cu, and Fe in wheat grains ranged as follows: 42 − 88 mg·kg-1, 27 − 49 mg·kg-1, 4 − 8 mg·kg-1, and 23 − 56 mg·kg-1, respectively. There was a significant positive correlation (p < 0.05) between Cd and Mn in wheat grains, indicating a potential synergistic effect that requires further investigation. However, no significant positive correlation was observed between Cd and Cu or Fe. Overall, this study provides valuable insights into the regulation of micronutrient intake to modulate Cd uptake in wheat, laying the foundation for further research in this area.
CLS, PLS and PCR Methods in Different Sets of Data for Simultaneous Determination of Paracetamol and Orphenadrine Citrate in Their Combined Pharmaceutical Dosage Forms
Authors: El-Adl Sobhy M. , Mattar Amr A. , Sebaiy Mahmoud M. , Fawzy Michael G.
Published: September 2023

The authors have requested that this preprint be removed from Research Square.
Pervasive cloud computing of Individualized recommendation method of characteristic service of education in post-epidemic era
Authors: Xin Wang , Dayong Liu
Published: September 2023

Individualized recommendation of political education characteristic services in post-epidemic era is to recommend suitable political education characteristic services to students through evaluation and judgment of students' learning interests and specialties. Therefore, this paper puts forward the Individualized recommendation method of political education characteristic services in post-epidemic era. Firstly, taking the information management platform as the structural model, this paper constructs students' scoring model and data homomorphic distribution attribute model for political education characteristic services. Using the method of analyzing the distribution characteristics of teaching resources to build a Individualized recommendation model, allocate personalized features and extract fitness parameters, so as to realize the individualized recommendation of political education characteristic services in post-epidemic era. The simulation results show that this method improves the score of recommended items and reduces the average absolute error and root mean square error of the score of recommended items. It improves the quality of dynamic and accurate matching of political education characteristic services and personalized differences in post-epidemic era.
Correlation of procalcitonin and c-reactive protein levels with pathogen distribution and infection localization in urinary tract infections
Authors: Shi Jing , Zhan Zhi-Song , Zheng Su-Shun , Zhu Xue-Xia , Zhou Xin-Yi , Zhang Shi-Yan
Published: September 2023

Aimed to explore the relationships between infection localization, bacterial species, and procalcitonin (PCT) and C-reactive protein (CRP) levels in urinary tract infections (UTIs). A retrospective study included 314 UTI hospitalized patients divided into two groups (268 with lower UTI, 46 with upper UTI) in a tertiary care hospital. PCT and CRP were performed. Bacterial isolates were identified using standard microbiological techniques, and statistical analyses were performed to assess associations between infection localization, bacterial species, PCT and CRP levels. Age and gender showed no significant differences between the lower and upper UTIs. Escherichia coli dominated as the leading UTI pathogen. A positive correlation (r = 0.646, P < 0.001) between PCT and CRP levels was found. The subgroup with ureteritis in the upper UTI category exhibited the highest PCT and CRP levels. PCT and CRP exhibited favorable diagnostic potential in predicting upper UTIs, with AUCs of 0.644 and 0.629, respectively. The optimal cutoff values were 0.21 ng/mL for PCT and 60.77 mg/L for CRP. Sensitivities were 69.03% and 77.99%, while specificities were 56.52% and 47.83%, respectively. E. coli emerged as the predominant bacterium in UTIs. PCT and CRP demonstrated moderate diagnostic efficacy in distinguishing between upper and lower UTIs. Notably, PCT and CRP exhibited enhanced utility in identifying ureteritis.
Impacts to Australian physiotherapy research during the COVID-19 pandemic – a scoping review
Authors: Trojman Anthony , Paratz Jennifer , Boots Robert , Hides Julie , Hough Judith , Aitchison Alex , Gustafsson Louise
Published: September 2023

Background
Australia’s strict lockdown measures posed significant logistical and practical challenges for researchers. The extent of the pandemic’s impact on physiotherapy research in Australia unknown. The aim of this scoping review was to identify how physiotherapy research conducted in Australia was impacted by the COVID-19 pandemic.
Methods
A scoping review was conducted in CINAHL, MEDLINE, PsychInfo (Ovid), Nursing & Allied Health via ProQuest, PubMed, and PEDro to identify Australian physiotherapy research conducted between March 2020 and January 2023 that reported the COVID-19 pandemic impacted their research.
Results
Thirty-five studies met the inclusion criteria. Four themes emerged regarding the pandemic's impact: delayed research (n = 8), reduced quality (n = 23), changed methods (n = 10), and cessation of research (n = 3). Ten studies reported more than one impact. Twenty-five studies used face-to-face methods and 10 used online/non-contact methods. Nine studies switched from face-to-face to online/non-contact methods. These nine studies reported less impacts relating to quality and/or delays.
Conclusion
Research conducted during the COVID-19 pandemic that used non-contact/online methods were less affected. To circumvent pandemic-related impacts, researchers may benefit from utilizing re-creative strategies when planning research by adopting principles of project management to develop more flexible research protocols.
Boosting all-weather atmospheric vapor harvesting with membrane distillation system powered by solar energy
Authors: Jin Yong , Ghaffour Noreddine
Published: September 2023

Atmospheric vapor harvesting represents an important freshwater supply. Sorbent-based atmospheric vapor harvesting stands out because it can adapt to various weather conditions and can utilize low-grade energy. Current sorbent-based atmospheric vapor harvesting research focuses on the preparation of sorbent materials (especially solid sorbents, e.g., MOFs) without integrating them into an advanced water production system. Moreover, solid sorbents are faced with poor adaptivity to changing relative humidity in real applications. To address the issues, we proposed a novel atmospheric vapor harvesting membrane distillation system (AVH-MD) that can boost water production and adapt to all-weather conditions simultaneously. The feasibility of the system was demonstrated by both theoretical and experimental tools. The system could produce 6.27, 2.41, and 0.82 kg freshwater/m2/day at relative humidities of 69%, 35%, and 19% at 25 OC, respectively. The production improved by almost 700% compared with the reported studies under the same condition. The converted water production capacity (kg/J) in our system is also the highest under various relative humidities compared with the reported studies.
African bush pigs exhibit porous species boundaries and appeared in Madagascar concurrently with human arrival
Authors: Heller Rasmus , Balboa Renzo , Bertola Laura , Brüniche-Olse Anna , Rasmussen Malthe Sebro , Liu Xiaodong , Besnard Guillaume , Salmona Jordi , Santander Cindy , He Shixu , Zinner Dietmar , Pedrono Miguel , Muwanika Vincent , Masembe Charles , Schubert Mikkel , Kuja Josiah , Quinn Liam , Garcia-Erill Genís , Rakotoarivony Rianja , Henrique Margarida , Lin Long , Wang Xi , Heaton Michael , Smith Timothy , Hanghøj Kristian , Sinding Mikkel-Holger , Atickem Anagaw , chikhi Lounès , Roos Christian , Gaubert Philippe , Siegismund Hans , Moltke Ida , Albrechtsen Anders
Published: September 2023

Several African mammals exhibit a phylogeographic pattern where closely related taxa are split between West/Central and East/Southern Africa, but their evolutionary relationships and histories remain controversial. Bushpigs (Potamochoerus larvatus) and red river hogs (P. porcus) are recognised as separate species due to morphological distinctions, a perceived lack of interbreeding at contact, and putatively old divergence times, but historically, they were considered conspecific. Moreover, the presence of Malagasy bushpigs as the sole large terrestrial mammal shared with the African mainland raises intriguing questions about its origin and arrival in Madagascar. Analyses of 67 whole genomes revealed a genetic continuum between the two species, with putative signatures of historical gene flow, variable FST values, and a recent divergence time (<500,000 years). Thus, our study challenges key arguments for splitting Potamochoerus into two species and suggests their speciation might be incomplete. Our findings also indicate that Malagasy bushpigs diverged from southern African populations and underwent a limited bottleneck 1,000-5,000 years ago, concurrent with human arrival in Madagascar. These results shed new light on the evolutionary history of an iconic and widespread African genus and provide insight into the longstanding biogeographic puzzle surrounding the bushpig's presence in Madagascar.
Carrier lifetime modulation on current capability of SiC PiN diodes in a pulsed system
Authors: Xu Xingliang , Zhang Lin , Li lianghui , Li Zhiqiang , Li Juntao , Zhang Jian , Dong Peng
Published: September 2023

Silicon carbide (SiC) PiN diode has shown substantial promise as the freewheel diode for switch protection in a pulsed system. In this paper, we investigate the carrier lifetime (τHL) modulation on pulsed current capability of SiC PiN diodes. The carrier lifetime in 4H-SiC is modulated by the generation of the Z1/2 center through neutron irradiation. Surprisingly, we found that the pulsed current of SiC PiN diodes shows limited improvement when the carrier lifetime (τ) increases from 0.22 ms to 1.3 ms, while is signiﬁcantly promoted as the carrier lifetime increases from 0.03 ms to 0.22 ms. This changing trend is obviously different from the on-state resistance, which monotonously decreases with the increased carrier lifetime. The simulation result proves that the heat generation (i.e. maximum temperature rise) inside the PiN diodes, especially in the drift layer, is remarkably aggravated in the pulse tests for τ < 0.1 ms, while is significantly suppressed as carrier lifetime rises to 0.2 ms and above. Therefore, the dependence of pulsed current on carrier lifetime is ascribed to the heat generation resulting from the carrier lifetime controlled conductivity modulation effect, which hence affects the temperature rise and therefore the failure of SiC PiN diodes under high pulsed current.
Characteristics of Vaginal Microbiota in various Cervical Intraepithelial Neoplasia: A Cross-Sectional Study
Authors: Liu Yiran , Wang Shuzhen , Liu Jun , Su Mingrui , Diao Xiaoli , Liang Xiaolong , Zhang Jianxin , Wang Qiuxi , Zhan Yuxin
Published: September 2023

Background
To prevent overtreatment of patients whose cervical intraepithelial neoplasia(CIN) may be regression and to predict the onset of invasive cervical cancer at an early stage, we've identified the vaginal microbiome as a potential key factor, which is associated with both HPV infection and the various cervical intraepithelial neoplasia. This study aims to investigate the microbiome characteristics of patients with various cervical intraepithelial neoplasia.
Methods
Utilizing high-throughput 16S ribosomal RNA (16S rRNA) sequencing technology, an evaluation of the characteristics and community composition of VMB was conducted among 692 Chinese women infected with the High-risk Human Papillomavirus (HR-HPV).
Results
Among the VMB of female patients in the four groups, the genus Lactobacillus was the most abundant but significantly reduced in high-grade lesions. With the increase in the grade of lesions, the proportions of the genera Gardnerella, Dialister and Prevotella significantly increased. The diversity of the VMB was more significant in high-grade CIN. Furthermore, KEGG pathway enrichment analysis indicates that high-grade cervical intraepithelial neoplasia can inhibit various pathways, including those of phosphotransferase system, transcription factors, Fructose and mannose metabolism, amino sugar and nucleotide sugar metabolism, and galactose metabolism, which may contribute to the development of early cervical cancer symptoms.
Conclusion
Patients with CIN exhibit a distinct vaginal microbial profile. Decreased Lactobacillius, coupled with increased Gardnerella, Prevotella and Dialister, could may be relative with the cervical carcinogenesis.
Retrospectively registered: This study was approved by the Ethics Committee of the Beijing Chaoyang Hospital affiliated with the Capital Medical University (NO.2023-S-415).
Prevalence and risk factors of Cognitive dysfunction -associated Sarcopenia：A systematic review and meta-analysis
Authors: wang yifei , Li Ming-Lin , Zhang Fei , Quan Zi-Wei , Luo Han-Yong , Huang Le-Tian , Wang Jia-He
Published: September 2023

Background
Even though sarcopenia and cognitive dysfunction(including mild cognitive impairment(MCI) and Alzheimer's disease (AD)) have an impact on each other, there is limited evidence regarding their correlation. Moreover, we currently lack information about the prevalence of cognitive dysfunction-related sarcopenia. Therefore, our objective was to conduct a systematic search to determine the prevalence of sarcopenia among individuals with cognitive disabilities. Additionally, we aimed to consolidate the overall prevalence rate of cognitive dysfunction-related sarcopenia by considering various factors such as age, country, and diagnostic criteria for sarcopenia.
Methods
To achieve this goal, we performed a thorough search of several databases, including Web of Science, PubMed, Embase, and Cochrane Library. The search concluded on December 31, 2022, with the inclusion of studies that reported the prevalence of sarcopenia in patients with cognitive dysfunction. We then conducted a meta-analysis using all the collected data. All the statistical analyses were carried out using the STATA 15.0 version software.
Results
A total of 1,870 articles were initially evaluated. Eventually, 12 articles were included in our study[1–12]. The cumulative sample size across all the included studies amounted to 3,975 participants. All 12 studies employed a cross-sectional design. Consequently, the combined prevalence rate was estimated to be 16.96% (with a 95% confidence interval of 0.122 to 0.278), displaying considerable heterogeneity (I2 = 98.17%).Regarding the sample of patients with MCI and sarcopenia, the prevalence of MCI patients with sarcopenia was found to be 10.24% (95%CI: 0.44 − 0.209). Moreover, within the sample of Alzheimer's disease (AD) patients with sarcopenia, the pooled prevalence of AD individuals with sarcopenia was determined to be 21.09% (95%CI: 0.131–0.299).
Conclusions
Our findings highlight the frequent occurrence of sarcopenia among individuals with cognitive dysfunction, and the prevalence of sarcopenia appears to vary according to the degree of cognitive dysfunction. These results hold significance as they provide valuable insights for researchers planning studies on sarcopenia within this population. Urgent attention should be given to conducting longitudinal studies that focus on sarcopenia and its outcomes in patients with cognitive dysfunction.
A shape parameter approximation for the problem of thermal orientation and simulation in the additive manufacturing process
Authors: González-Martín Adrián , Barea Rafael , Corbera Sergio
Published: September 2023

Part orientation in Additive Manufacturing (AM) technology is a crucial process for the quality of a part. Orientation affects the manufacturing time, the amount of support, and the thermo-mechanical properties. To support the manufacturing process and to establish the best orientation at the lowest thermal gradient, an index is defined. This thermal index considers the temperature change when the part is rotated and is composed of several sub-indices based on the geometrical information of an STL (Standard Triangle Language) file. The thermal index was tested with two cases studies a cone and a sand clock in a finite element simulation which showed that the thermal index is related to the thermal gradient in the AM process. Finally, it was integrated into a work frame with a complex part to solve the part orientation problem.
Evaluation of anti-angiogenic effects of 5HT2A rec antagonist in xenograft model of colon cancer and expression of VEGF,NfKB,BAX,Caspase9 and Bcl2
Authors: Hosseinzadeh Fatemeh , Fattahi Esamil , Ghalehnoei Hossein , Ramin Ataee
Published: September 2023

Background
. One of the most common cancers of the gastrointestinal tract is colorectal cancer, according to some studies, serotonin can play a proliferative role by stimulating the cAMP-dependent MAPK pathwayAlso there are some evidences about role of 5HT receptors in some cancers as gastrointestinal,breast and bladder and breast cancers .
Objective
According to these backgrounds,we have aimed to investigate the effect of 5HT2A receptor antagonist (ritanserin) on expression of apoptotic and angiogenesis factors as (VEGF,NfKB) and Bax and Bcl2 in an In vivo model in nude mice .
Methods
The drugs were injected into mice for 21 days, and intradermal tumor was induced by injecting 10,000,000(HT29) suspension of colorectal cell into the flank muscle of nude mice. Tumor size were examined macroscopically three times a week. After three weeks, the mice were killed and the tumor tissue was removed and the Real-time PCR method was used to evaluate the angiogenic genes of VEGF and NfKB and Bax,Caspas9 and Bcl2 protein expression. The DATA analyzed by Friedman test and One-way ANOVA and post TUKEY-TEST with 21 SPSS software with P value < 0.05
Results
In There was a significant difference in the expression of bcl2 gene in the drug groups compared to the control group P < 0.05.The expression of bcl2 gene in drug groups has decreased compared to the control group,P < 0.05.The results of Kruskal-Wallis test in the expression of caspase9 gene showed inequality in the mean expression of caspase9 gene in the groups. The effect of ritanserin on the expression of angiogenesis factors in cells isolated from nude mice by RT-PCR showed that the level of the expression of nfkb in ritanserin group (4/73) and cis group (0/17) was lower than rit-cis groups(13/88) and control(1/00)The expression level of VEGF factor in rit group (3.26) was lower than cis group (4.90) which indicates the inhibitory effect of ritanserin is evenly more than positive control(cisplatin)on the expression of angiogenesis genes.
Conclusion
Our study has shown that Ritanserin as 5HT2A receptor antagonist has anti-tumor and anti-angiogenic effect in xenograft model in nude mice which some parts of its' effect could be through inhibition of NfKB as an inflammatory factor and VEGF as angiogenic factor and also through affecting on apoptotic factors as Bax,Bcl2 and Caspase9.
Altered peripheral taste function in a mouse model of inflammatory bowel disease
Authors: Dong Guangkuo , Boothe Khaylie , He Lianying , Shi Yang , McCluskey Lynnette Phillips
Published: September 2023

Increased sugar intake and taste dysfunction have been reported in patients with inflammatory bowel disease (IBD), a chronic disorder characterized by diarrhea, pain, weight loss and fatigue. It was previously unknown whether taste function changes in mouse models of IBD. Mice consumed dextran sodium sulfate (DSS) during three 7-day cycles to induce chronic colitis. DSS-treated mice displayed signs of disease, including significant weight loss, diarrhea, loss of colon architecture, and inflammation of the colon. After the last DSS cycle we assessed taste function by recording electrophysiological responses from the chorda tympani (CT) nerve, which transmits activity from lingual taste buds to the brain. DSS treatment significantly reduced neural taste responses to natural and artificial sweeteners. Responses to carbohydrate, salt, sour or bitter tastants were unaffected in mice with colitis, but umami responses were modestly elevated. DSS treatment modulated the expression of receptor subunits that transduce sweet and umami stimuli in oral taste buds as a substrate for functional changes. Dysregulated systemic cytokine responses, or dysbiosis that occurs during chronic colitis may be upstream from changes in oral taste buds. We demonstrate for the first time that colitis alters taste input to the brain, which could exacerbate malnutrition in IBD patients.
The correlation between visceral fat area to skeletal muscle mass ratio and multi-organ insulin resistance in Chinese population with obesity: a cross-sectional study
Authors: Zhang Yanju , Du Meiyang , Li Zhouhuiling , Wang Xincheng , Leng Mingxin , Huang Yaping , Li Libin , Zhang Shi , Li Chunjun
Published: September 2023

Background: Insulin resistance (IR) is an important risk factor for obesity and cardiometabolic diseases, and our previous findings have demonstrated that visceral fat area to skeletal muscle mass ratio (VSR) is significantly and positively associated with the risk of cardiometabolic diseases. Hence, this study aimed to the relationship between VSR and multi-organ IR, and provide a new approach to improve body composition, reduce the risk of cardiometabolic diseases in patients with obesity, and also set the basis for VSR to increase the incidence of cardiometabolic diseases.
Methods: The present study included 398 patients who underwent anthropometric measurements, body composition assessment and biochemical measurements. Body composition was assessed using a bioelectrical impedance analysis method (Inbody770). Spearman correlation analysis was used to investigate the correlation between VSR and homeostatic model assessment for insulin resistance (HOMA-IR) as well as multi-organ IR, including homeostasis model assessment adiponectin (HOMA-AD), adipose tissue insulin resistance (ADIPO-IR), 1/hepatic insulin sensitivity (HISI). We established a new predictive model that included indicator of visceral obesity for IR in previous study, and incorporated the New Model into the present study. Logistic regression was used to analyze the odds ratio (OR) of VSR on the risk of multi-organ IR. The predictive value of VSR for HOMA-IR and New Model were evaluated using the receiver operating characteristic (ROC) curve and the optimal cut-off point was also calculated.
Results: VSR was significantly associated with HOMA-IR, HOMA-AD, ADIPO-IR, 1/HISI, and New Model (p<0.001). With the increase of VSR, the OR increased significantly for HOMA-IR and New Model, this association remained even after adjustment of other possible confounding variables(p<0.05). Then all multi-organ IR indicators were quantified, compared to the lowest quartile group, increased VSR was more likely to exacerbate the risk of IR in the highest quartile (p trend<0.001). The area under the curve for predicting IR using VSR for HOMA-IR and New Model was 0.88 for men and 0.85 for women and 0.73 for men and 0.76 for women respectively.
Conclusions: There was a significant correlation between VSR and multi-organ IR, and the risk of multi-organ IR increased with increasing VSR.
Registration number and date: ChiCTR2100044305, March 16, 2021.
α2-antiplasmin is a key regulator of macrophage activation syndrome progression through modulation of IFN-γ-induced responses and fibrin deposition
Authors: Kanno Yosuke , Toyama Kinomi , Shibata Haruna , Matsuo Osamu , Ozaki Kei-ichi
Published: September 2023

Background:
Macrophage activation syndrome (MAS) is a life-threatening condition, characterized by cytopenia, multi-organ dysfunction, and coagulopathy associated with excessive activation of macrophages. The aim of this study was to clarify the role of a2-antiplasmin (α2AP) in the pathogenesis of MAS.
Methods:
We investigated the role of α2AP in the progression of MAS using fulminant MAS mouse model induced by Toll-like receptor-9 (TLR-9) agonist (CpG) and d-galactosamine (DG).
Results:
α2AP deficiency attenuated macrophage accumulation, hypocellular bone marrow (BM), liver damage, and fibrin deposition in the MAS model mice. Interferon-g (IFN-γ) is associated with macrophage activation, including phagocytosis, invasion, and migration, and plays a pivotal role in MAS progression. α2AP enhanced the IFN-γ-induced phagocytosis, invasion, migration, and tissue factor (TF) production. Additionally, we showed that fibrin induced macrophage activation and tumor necrosis factor-a (TNF-α) production. Moreover, the blockade of α2AP by neutralizing antibodies attenuated macrophage accumulation, hypocellular BM, liver damage, and fibrin deposition in the MAS model mice.
Conclusion:
α2AP regulates macrophage activation through modulation of IFN-γ-induced responses and fibrin deposition and is associated with MAS progression.
Multi-Omics and Single-Cell Sequencing Reveal the Genomic Features and Metabolic Heterogeneity of Low Ki-67 Triple-Negative Breast Cancer
Authors: Han Bo-yue , Han Xiang-chen , Luo Hong , Nasir Javaria , Chen Chao , Shao Zhi-Ming , Ling Hong , Hu Xin
Published: September 2023

Background: TNBC displays high heterogeneity and the majority of TNBC cases were characterized by a high Ki-67 expression. In contrast, TNBC with low Ki-67 expression accounts for only a small fraction, and this subset of TNBC has been relatively less extensively studied.
Methods: Using the study institution's largest single-center multi-omics TNBC dataset combined with a single-cell dataset, the authors analyzed the clinical, genomic, and metabolic characteristics of patients with low Ki-67 TNBC.
Results: This study included a total of 2217 low Ki-67 TNBC patients for the analysis of clinical and pathological characteristics. The results revealed that patients with low Ki-67 TNBC had a higher age at diagnosis, a lower proportion of invasive ductal carcinoma (IDC), increased alterations in the PI3K-AKT-mTOR pathway, upregulated lipid metabolism pathways, and enhanced infiltration of M2 macrophages. In contrast, high Ki-67 TNBC patients exhibited a higher prevalence of TP53 mutations, elevated nucleotide metabolism, and increased infiltration of M1 macrophages.
Conclusions: We identified specific genomic and metabolic characteristics unique to low Ki-67 TNBC, which have implications for the development of precision therapies and patient stratification strategies.
Validation Study on a Prediction Formula to Estimate the Weight of Children & Adolescents with Special Needs Aged 2-18 Years Old
Authors: I Nurul Huda , K Norasimah , O Salimah , O Azahadi , S Norsuhaila , A Anis Aslah , AAP Norafiza , MN Nabilah , Z Maizatul Naqiah , AS Nadzrul Anuar , S Muhamad Farid , AR Noorfadzlina , M Siti Farhana
Published: September 2023

Nutrition disorders and compromised nutritional status are common among children with special needs. It may be challenging to evaluate and obtain an accurate measurement of these children due to their spasticity or uncooperative behaviours. Weight estimations in children are required when actual weight cannot be obtained with standard measurement. This study aims to validate two predictive formulas of weight estimating strategies in children with special needs, namely, the Cattermole formula and the Mercy formula. A cross-sectional study with a universal sampling of children with special needs (cerebral palsy, Down syndrome, autism and attention-deficit/hyperactivity disorder) was conducted at Community-Based Rehabilitation in Selangor, Negeri Sembilan, and Wilayah Persekutuan Kuala Lumpur and Putrajaya. Anthropometric measurements, including height, weight, humeral length, and mid-upper arm circumference, were collected using standard procedures. A total of 502 children with a median age of 7 (6) years were enrolled in this study. The results showed that the Mercy formula demonstrated a smaller degree of bias than the Cattermole formula (PE = 1.97 ± 15.99% and 21.13 ± 27.76%, respectively). The Mercy formula showed the highest intraclass correlation coefficient (0.936 vs 0.858) and predicted weight within 20% of the actual value in the largest proportion of participants (84% vs 48%). The Mercy formula also demonstrated lower RE (0.3 vs 3.6) and RMSE (3.84 vs 6.56) compared to the Cattermole formula. Mercy offered the best option for weight estimation in children with special needs in our study population.
VO2 Nanowires Based Composite Films with Broadband and High Tunable Electromagnetic Interference Shielding Performance
Authors: Liang Shuhui , Guan Huan , Zhang Hainan , Han Xiangge , Hao Sue , Dou Shuliang , Zhou Haoxin , Geng Chenchen , Zhao Tao , Gu Jinxin , Wei Hang , Li Yao
Published: September 2023

Traditional electromagnetic interference (EMI) shielding materials typically have constant shielding efficiencies, which cannot respond to the real-time changing shielding requirements for future electromagnetic (EM) devices. For the first time, the VO2 NWs/poly(vinylidene fluoride-co-hexafluoropropylene) (VO2/PVDF-HFP) composite films have been developed with off/on switchable EMI shielding performance, which exhibit excellent tunability in X-band and Ku-band with maximum values of 44.8 dB and 59.4 dB, respectively. The unique insulator-to-metal transition (IMT) and perfect conductive network of VO2 NWs result in three orders of magnitude in relative conductivity change, which leads to excellent off/on switchable EMI shielding performance. Furthermore, the off/on switchable EMI shielding performance is also confirmed with good cycling stability and the EMI shielding performance of the composite film can be precisely modulated using temperature. This study provides a unique approach for dynamic switching of EM response with the potential to construct multifunctional smart EM response systems for various applications such as of aerospace, artificial intelligence, advanced electronics, and stealth technology.
Research on the Impact of Digital Economy on Low Carbon Development of Manufacturing Industry
Authors: Li Shanhong , Lv Yanqin , Ping Yang
Published: September 2023

To explore the impact of digital economy on the low-carbon development of manufacturing industry, this paper constructs theoretical and empirical models, and studies from both theoretical and empirical perspectives. The results show that there is a U-shaped relationship between digital economy and low-carbon development of manufacturing industry. In terms of theoretical model analysis, we adopt the Green Solow model as the analytical framework, and improve and expand the CES production function to introduce digital economy into it. By deducing the theoretical model, we draw the conclusion that there is a possibility of an inverted U-shaped curve between the development of digital economy and carbon emissions. In terms of empirical verification, this paper applies fixed-effect and intermediate-effect empirical models, and relies on panel data of 30 provinces and cities in China from 2011 to 2020 to conduct an empirical study on the relationship between digital economy and low-carbon development of manufacturing industry. The results show that the impact of digital economy on the low-carbon development of manufacturing industry is not linear, but exhibits a U-shaped relationship. In regions with high and medium levels of marketization, digital economy has a significant impact on the low-carbon development of manufacturing industry, while it has no obvious impact in regions with low levels of marketization. Furthermore, this study finds that digital economy can influence the low-carbon development of manufacturing industry through various ways, such as innovative green technology, reducing capital mismatch, and promoting industrial upgrading of manufacturing industry, based on the analysis of influencing mechanism.
Cyber Threat Assessment and Management for Securing Healthcare Ecosystems using Natural Language Processing
Authors: Silvestri Stefano , Islam Shareful , Amelin Dmitry , Weiler Gabriele , Papastergiou Spyridon , Ciampi Mario
Published: September 2023

The healthcare sectors have constantly faced significant challenge due to the rapid rise of cyber threats. These threats can pose any potential risk within the system context and disrupt the critical healthcare service delivery. It is therefore necessary for the healthcare organisations to understand and tackle the threats to ensure overall security and resilience. However, threats are continuously evolved and there is large amount of unstructured security related textual information is available. This makes the threat assessment and management task very challenging. There are a number of existing works that consider Machine Learning models for detection and prediction of cyber attack but they lack of focus on the Natural Language Processing (NLP) to extract the threat information from unstructured security related text. To this end, this work proposes a novel method to assess and manage threats by adopting natural language processing. The proposed method has been tailored for the healthcare ecosystem and allows to identify and assess the possible threats within healthcare information infrastructure so that appropriate control and mitigation actions can be taken into consideration to tackle the threat. In detail, NLP techniques are used to extract the useful threat information related to specific assets of the healthcare ecosystems from the largely available security related information on Internet (e.g., cyber security news), to evaluate the level of the identified threats and to select the required mitigation actions. We have performed experiments on real healthcare ecosystems in Fraunhofer Institute for Biomedical Engineering (IBMT), considering in particular three different healthcare scenarios, namely implantable medical devices, wearables, and biobank, with the purpose of demonstrating the feasibility of our approach, which is able to provide a realistic manner to identify and assess the threats, evaluate the threat level and suggest the required mitigation actions.
Multiple Classification of Brain MRI Autism Spectrum Disorder by Age and Gender Using Deep Learning
Authors: Nogay Hidir Selcuk , Adeli Hojjat
Published: September 2023

The fact that the rapid and definitive diagnosis of autism cannot be made today and that autism cannot be treated provides an impetus to look into novel technological solutions. To contribute to the resolution of this problem through multiple classifications by considering age and gender factors, in this study, two quadruple and one octal classifications were performed using a deep learning (DL) approach. Gender in one of the four classifications and age groups in the other were considered. In the octal classification, classes were created considering gender and age groups. In addition to the diagnosis of ASD (Autism Spectrum Disorders), another goal of this study is to find out the contribution of gender and age factors to the diagnosis of ASD by making multiple classifications based on age and gender for the first time. Brain structural MRI (sMRI) scans of participators with ASD and TD (Typical Development) were pre-processed in the system originally designed for this purpose. Using the Canny Edge Detection (CED) algorithm, the sMRI image data was cropped in the data pre-processing stage, and the data set was enlarged five times with the data augmentation (DA) techniques. The most optimal convolutional neural network (CNN) models were developed using the grid search optimization (GSO) algorism. The proposed DL prediction system was tested with the five-fold cross-validation technique. The accuracy rates acquired for all three CNN models designed to be utilized within the system were compared with successfull pre-trained CNN models through the transfer learning (TL) practice. As a result, it was revealed that age and gender factors were effective in the diagnosis of ASD with the system developed for ASD multiple classifications, and it was seen that higher accuracy rates were achieved than pre-trained models.
Assessing consistency in the co-composting of faecal sludge and food waste in Ghana
Authors: Nartey Eric Gbenatey , Sakrabani Ruben , Tyrrel Sean , Cofie Olufunke
Published: September 2023

Background
A faecal sludge (FS) co-composting study assessed the extent of consistency in compost characteristics between and within batches. The study focused on the consistency of the co-composting process by measuring the variability of key parameters.
Method
The set up consisted of 12 FS and FW co-composting piles in three successive batches (1, 2 and 3). Between batch consistency was assessed in the three successive batches of co-composted FS and food waste (FW). Within batch consistency was assessed in each of the three batches by dividing the batch into four separate replicate piles. Characteristics of interest were E. coli, as well as selected physico-chemical (pH, EC, Mg, Ca, N, NH4, NO3, P, avail. P, and K) and heavy metals (Se, Fe, Cd, Cu, Hg, Ni, Pb and Cr). Data were subjected to analysis of variance (ANOVA) using SPSS.
Result
Results show that, E. coli levels were not consistent between the successive batches during the entire co-composting process. While variations between batches were only observed for EC and nutrient parameters, variations were evident for several measured characteristics within batches. The measured coefficient of variations (CVs) within batches ranged between 0 – 125% and 3 – 111% for heavy metals and nutrients, respectively.
Conclusion
It is recommended that a threshold value be created for determining what is an acceptable level of variation in FS co-composting.
Microsatellite marker Based Genetic Monitoring of Exotic Common Carp Strains (Cyprinus carpio L. and Cyprinus carpio communis) in the Chenab River, Punjab, Pakistan
Authors: Tabassum Fouzia , parveen shakeela , Tayyab Muhammad , Hussain Muhammad , Batool Uzma , Sultana Mehwish
Published: September 2023

Conservation and management of Native fauna require understanding of invasive species genetic structure and diversity. Genotyping with 10 microsatellite markers was used to evaluate 300 samples of common carp and scale carp (Cyprinus carpio L. and Cyprinus carpio communis) from five natural populations on River Chenab in Pakistan. These strains exhibit low to moderate level of heterozygosities. The average FIS for C. carpio was 0.507 to 0.5914 while in C. c. communis, ranged from 0.5310 to 0.6166. The FST assessments showed there was a modest degree of genetic difference between the strains. Genetic distance was largest among strains and lowest among strain populations. AMOVA showed that 90.38% of C. carpio’s variants were from intra-population variability and 9.62% from inter-population diversity. In C. c. communis, intra-population diversity fluctuated 12.92% and inter-population diversity 87.08%. STRUCTURE Bayesian clustering analysis grouped both strains populations into 10 groups. No genetic evidence of mixing was found for pristine, original strains. A high heterozygosity relative to expected heterozygosity in common carp strain populations suggests a bottleneck. The common carp strains' directional relative migratory network showed that HT (C.c) was the core population with the most genetic exchange with the other 5 peripheral populations. Nevertheless, no C.c. communis population showed migration event except HK C.c.c. Unweighted pair group method with averages (UPGMA) dendrogram shown two clusters: common carp and scale carp. We believe our findings may strengthen exotic species management practices.
Unveiling the role of the cyanosphere: interactions between cyanobacteria and bacterial associates during blooms
Authors: Fuster Maxime , Ruiz Thomas , Lamarque Amélie , Coulon Marianne , Legrand Benjamin , Sabart Marion , Latour Delphine , Mallet Clarisse
Published: September 2023

Global change severely increases the recurrence of freshwater cyanobacterial proliferations, with known deleterious consequences for ecosystem structure and functioning. A few studies highlighted the existence of bacterial communities associated to cyanobacteria (i.e., Cyanosphere), comparable to the well-known phycosphere. While phycosphere in general is expected to exchange nutrients with their associated phytoplankton communities, specific functions and dynamic of the cyanosphere remain unknown. Here, based on metabarcoding approaches, we showed that during bloom episodes, cyanosphere accounts for up to 30% of total bacterial abundance. More importantly, we demonstrated for the first-time the dynamics aspect of cyanosphere community composition at crucial bloom phases. In our study, these community changes imply variations in cyanosphere ecological functions over time. Our results highlight the ability of cyanosphere to regulate nutrient and energy exchange with cyanobacteria during the entire bloom period, modulating bloom intensity and dynamics. In the latter bloom phases, cyanosphere additionally tends to create microhabitats favoring cyanobacterial persistence in deleterious environmental conditions. At wider scale, as blooms constitute major turnovers of matter and energy in aquatic ecosystems, we argue that cyanosphere can have an important, yet underestimated, role in mediating C and nutrient cycles in environments.
Predicting 24-hour Intraocular Pressure Fluctuations using Machine Learning: A Retrospective Analysis
Authors: Chen Ranran , Lei Jinming , Liao Yujie , Jin Yiping , Bi Yanlong , Zhu Haohao , Wang Xue , Li Hong
Published: September 2023

24-hour intraocular pressure fluctuation is at a risk of glaucomatous progression. We thus aimed to develop a machine learning-based predictive model for 24-hour intraocular pressure (IOP) fluctuation. It was a retrospective analysis of electronic medical records from 978 eyes, focusing on 24-hour IOP monitoring data collected at Shanghai Fifth People's Hospital between January 2014 and July 2023. The dataset included various parameters such as blood pressure and corneal thickness. We divided the data into training (80%) and validation (20%) sets. Employing algorithms such as Support Vector Machine and Random Forest, our model predicted whether fluctuations in 24-hour intraocular pressure exceeded 8 mmHg. The Random Forest algorithm demonstrated the best performance in validation. The model achieved accuracy, specificity, precision, sensitivity, f1-score, and AUC area of 0.899, 0.965, 0.884, 0.718, 0.793, and 0.89. We eventually established a predictive model, demonstrating the potential to rectify intraocular pressure measurements using the Random Forest algorithm.