bluuebunny/crossref_metadata_2025 huggingface dataset:
Melanoma-inhibitor of apoptosis protein: a key driver of microglia phenotype and glioblastoma immune microenvironment
Authors: Snacel-Fazy Emmanuel , Soubéran Aurélie , Grange Magali , Joseph Kevin , Colin Carole , Morando Philippe , Luche Hervé , Brustlein Sophie , Debarbieux Franck , Siret Carole , de Pavert Serge A. van , Rougon Geneviève , Figarella-Branger Dominique , Ravi Vidhya Madapusi , Tabouret Emeline , Tchoghandjian Aurélie
Published: January 2024

Tumor-associated macrophages/microglia (TAMs) are highly plastic and heterogeneous immune cells that can be immune-supportive or tumor-supportive depending of the microenvironment. TAMs are the most abundant immune cells in glioblastoma (GB), and play a key role in immunosuppression. Therefore, TAMs reprogramming toward immune-supportive cells is a promising strategy to overcome immunosuppression. By leveraging scRNAseq human GB databases, we identified that within the tumor microenvironment, ML-IAP, a member of the Inhibitor of Apoptosis Proteins (IAP) known to regulate inflammation, was exclusively expressed by TAMs. To investigate its role in TAMs-related immunosuppression, we antagonized ML-IAP using the central nervous system permeant SMAC mimetic GDC-0152 (SMg). On explants and cultured immune cells isolated from human GB samples, SMg modified TAMs activity. We showed that inhibiting ML-IAP in microglia promoted their pro-apoptotic and anti-tumoral function via caspase-3 pro-inflammatory cleavage and the inhibition of tumoroïds growth. Then we designed a relevant immunogenic mouse GB model to decipher the spatio-temporal densities, distribution, phenotypes and function of TAMs with or without SMg treatment. We used 3D imaging techniques, a transgenic mouse with fluorescent TAM subsets and mass cytometry. We confirmed that SMg promoted microglia activation, antigen-presenting function and tumor infiltration. In addition, we observed a normalization of blood vessels, a decrease in anti-inflammatory macrophages and an increased level of monocytes and their mo-DC progeny. This remodeling of the TAM landscape is associated with an increase in CD8 T cell density and activation. Altogether, these results demonstrated that ML-IAP inhibition drives the immunosuppressive basal microglia toward an active phenotype with pro-apoptotic and anti-tumoral function and modifies the GB immune landscape. This identifies ML-IAP as a target of choice for a potential mechanism-based therapeutic strategy and SMg as a promising molecule for this application.
Hydroalcoholic extract of Centella asiatica and madecassic acid reverse depressive-like behaviors, inflammation and oxidative stress in adult rats submitted to stress in early life
Authors: Bertollo Amanda Gollo , Mingoti Maiqueli Eduarda Dama , Medeiros Jesiel , Silva Gilnei Bruno da , Capoani Giovana Tamara , Lindemann Heloisa , Cassol Joana Vitória , Manica Daiane , Oliveira Tacio , Garcez Michelle Lima , Bagatini Margarete Dulce , Bohnen Lilian Caroline , Roman Walter Antônio , Ignácio Zuleide Maria
Published: January 2024

Major depressive disorder (MDD) is a severe disorder that causes enormous loss of quality of life, and among the factors underlying MDD is stress in maternal deprivation (MD). In addition, classic pharmacotherapy has presented severe adverse effects. Centella asiatica (C. asiatica) demonstrates potential neuroprotective but has not yet been evaluated in MD models. Objective: This study aimed to evaluate the effect of C. asiaticaextract and the active compound madecassic acid on possible depressive-like behavior, inflammation, and oxidative stress in the hippocampus and serum of young rats submitted to MD in the first days of life. Method: Rats (after the first day of birth) were separated from the mother for three hours a day for ten days. These animals, when adults, were divided into groups and submitted to treatment for 14 days. After the animals were submitted to protocols of locomotor activity in the open field and behavioral despair in the forced swimming test, they were then euthanized. The hippocampus and serum were collected and analyzed for the inflammatory cytokines and oxidative markers. Results: The C. asiatica extract and active compound reversed or reduced depressive-like behaviors, inflammation in the hippocampus, and oxidative stress in serum and hippocampus. Conclusion: These results suggest that C. asiatica and madecassic acid have potential antidepressant action, at least partially, through an anti-inflammatory and antioxidant profile.
Identification of the prognosis value of pyroptosis related genes in the NSCLC
Authors: Huang Yuxia , Fan Yingying , Ye Ning , Feng Junpeng , Jiang Lei , Zhang Wentian
Published: January 2024

Backgrounds:Our study aimed to identify the prognosis value of pyroptosis related genes of cancer associated fibroblasts (CAFs) in the NSCLC.
Methods:We downloaded series matrix file data of GSE117570 from the NCBI GEO public database for single cell analysis. And the GSE30219, GSE37745 were used for verification. Furthermore, we downloaded the raw mRNA expression data of processed Lung adenocarcinoma (LUAD) including normal group (n=59), tumor group (n=541) from the TCGA database (https://portal.gdc.cancer.gov/).We performed gene set enrichment analysis (GSEA) and gene set variant analysis (GSVA) for the pyroptosis-related genes. Then we constructed the risk model using the pyroptosis related genes and identify the difference signature of the CAFs between the high risk group and low risk group. Nomogram and Kaplan–Meier method were used to validate the prognostic value of risk model.
Results:We constructed a risk model using the GGA2, TLR2, PKM , CALM3, RBBP7, CAPNS1, YWHAZ and BIRC3. GSEA results showed that carbon metabolism, galactose metabolism, and p53 signaling pathways were all involved. The results of GSVA showed that the differences between patients were mainly enriched in signaling pathways such as mTORC1 signaling. The T cells CD8, Macrophages M0, Macrophages M1 were significantly higher in the high risk group. The expression levels of 8 model genes were significantly correlated with the expression levels of multiple tumor-related genes. BIRC3 and ATM are significantly positively correlated.
Conclusions:The pyroptosis of the CAFs are related to the prognosis of the NSCLC.
Obtaining an Avoidant Restrictive Food Intake Disorder diagnosis in The UK for Individuals with Intellectual and Developmental Disabilities: A Qualitative Study of Families’ Experiences
Authors: Desalesa Jonah Jirehl , Mejía-Buenaño Suzy
Published: January 2024

Background The prevalence of Avoidant Restrictive Food Intake Disorder (ARFID) is generally low among the eating and feeding disorders population. The complexity of the diagnosis, along with its potential comorbidities (e.g., Intellectual and Developmental Disabilities), had led to difficulties in diagnosing ARFID, with limited support and treatment available. This study therefore asked families with lived experience of the ARFID diagnostic process and their access to support for diagnostic evaluation and understandings of available support. Method Data was collected through a qualitative approach using online semi-structured interviews investigating eight participants’ experiences of their children undergoing the ARFID diagnostic process and their access to support. Responses were subjected to thematic analysis. Results From thematic analysis, three major themes were identified: the ups and downs of diagnosis, pushing for support, and looking into the future. Conclusions Participants’ experiences surrounded the ‘lucky’ encounters with the ARFID diagnosis, where the limited support was emphasised. The findings highlighted the need for an improved ARFID diagnostic process for better awareness and support availability for families living with ARFID. Recommendations from study findings were provided for readers and researchers.
Failure Behavior and Reliability analysis of Diesel Particulate Filters based on After-sales Maintenance Data
Authors: Ahmadbeigi Shirin , Ehteram Mohammad Ali , Naeimi Abbas
Published: January 2024

Diesel particulate filters (DPFs) are essential tools for controlling pollution emissions. However, some DPFs may encounter failures during operation, thereby posing risks to both the diesel vehicle engine and emission control. Low-quality diesel fuel, due to its higher sulfur content, raises the risk of DPF becoming inactive. This paper examines the reliability of DPFs from a leading national vehicle manufacturer, utilizing after-sales maintenance data. Statistical analysis has been conducted on 10,833 vehicles over the years 2018 to 2022. In addition, the records of failures, the root causes of malfunctions, and the factors influencing the failures of these filters have also been investigated. The results indicate that the highest percentage of failures is associated with urban buses, and the least reliable are mini-buses. In such a way that, it can be stated that the DPFs of all mini-buses malfunction at least once after 17,000 kilometers, which is significantly lower than the defined threshold of 100,000 kilometers. The main causes of damage to the DPF substrate are leaks in the fuel and lubrication systems. Additionally, laboratory analysis of a silicon carbide DPF sample, using scanning electron microscopy (SEM) and X-ray diffraction (XRD), revealed corrosion within the DPF substrate. The chemical compounds obtained from laboratory studies indicate a high percentage of sulfur (2.28% by weight) in diesel fuel and oil leakage into the DPF. Chemical compounds obtained from laboratory studies indicate a high percentage of sulfur (2.28% by weight) in diesel fuel and oil leakage to the DPF. This study accurately demonstrates the alignment of results obtained from simulation, reliability assessment, failure root cause analysis, and laboratory analysis.
Peptide aptamer based on natural protein ligand for C reactive protein detection
Authors: Chen Xi , Cui Lili , Liu Tonggong , Zhang Ran , Chen Hongfang , Zhao Xiaona , Peng Qiang , Li Huawen , Gu Dayong
Published: January 2024

As a substitute for traditional antibodies, peptide aptamers have received extensive attention in recent years. However, the current research can only screen peptide aptamers from antibody sequence structures. This study changed the inherent idea that peptide aptamers were derived from antibodies in the past. Screening of peptide aptamers derived from natural protein ligands ( complement C1q ) of C-reactive proteinby bioinformatics technology to achieve specific detection of CRP, and establishing a CRP detection method in which peptide aptamers replace traditional antibodies to play a capture role. It is proved that peptide aptamers derived from natural protein ligands are feasible for detecting antigens. The results showed that the peptide aptamer C199 − 207m screened by bioinformatics could specifically bind to CRP, and the established sandwich ELISA technology with capture function of peptide aptamer C199 − 207m could be used to detect CRP with good accuracy, specificity, repeatability, sensitivity and ideal detection range. Peptide aptamers based on natural protein ligands replace traditional antibodies to capture antigens, which is a new attempt that can be applied to the immunoassay of CRP or related proteins.
The efficacy of electroacupuncture in the treatment of osteoporotic thoracolumbar compressionfractures in menopausal women:a study protocol for a prospective, two-arm, single-center randomized controlled trial.
Authors: Guo Tongtong , Jiang Yutong , Zhang Guifeng , Li Wanyao , Cai Xiaowen , Cai Shaoren , Huang Yong
Published: January 2024

Background
Osteoporotic vertebral compression fracture(OVCF) of menopausal women is more prone to result in functional pain, limitations, and significant disability due to lower estrogen levels. Acupuncture therapy is widely used to treat it as an alternative conservative therapy in China, but there is a relative lack of high-quality clinical evidence. This trial designed an electroacupuncture treatment method and aimed to investigate EA’s effectiveness in treating OVCF.
Methods and analysis
Using stratified sampling, 124 menopausal women who meet the inclusion criteria will be equally divided into the medication group(MD) and the electroacupuncture(EA) group. The duration of the intervention is eight weeks in each group and participants will be followed up until the twelfth week. The medication group will be treated with alendronate, calcitonin, calcium carbonate, and Vitamin D supplements for 8 weeks. In the EA group, BL23, BL25, BL40, BL60, GV20, KL3, GB34 andST36 will be electrically stimulated once a day for the first four weeks and once every two days for the last four weeks. Primary outcomes include the visual analogue scale (VAS) and bone mineral density (BMD) and secondary outcomes include propertied of type I procollagen(PINP), the Oswestry dysfunction index (ODI), and the Quality of Life Questionnaire (QUALEFFO-41), which will be evaluated at baseline, the 4th week, the 8th week and the 12th week selectively.Statistical analysis will be performed by SPSS, and the p-value< 0.05 is considered significantly different.
Discussion
This study will help determine the efficacy of electroacupuncture in the treatment of compression fractures and provide an optimized treatment option for menopausal women OVCF patients.
Should major trauma fractures be part of a fracture liaison service’s remit: A cost benefit estimate
Authors: Chandrasoma  , Chiu Simon , Niddrie  , Major
Published: January 2024

Purpose
To compare the 3 year refracture rate following minimal trauma (MT) and non-minimal trauma (non-MT) injuries and evaluate the cost of extending fracture liaison service (FLS) operations to non-MT presentations.
Methods
Patients aged 50, or above presenting to the John Hunter Hospital with a fracture in calendar year 2018 were identified through the Integrated Patient Management System (IPMS) of the Hunter New England Health Service’s (HNEHS), and re-presentation to any HNEHS facility over the following 3 years monitored.
The refracture rate of MT and non-MT presentations was compared and analysed using Cox proportional hazards regression models. The cost of including non-MT patients was estimated through use of a previously conducted microcosting analysis. The operational fidelity of the FLS to the previous estimate was confirmed by comparing the 3 year refracture rate of MT presentations in the two studies.
Results
The 3 year refracture rate following a MT injury was 8 % and after non-MT injury 4.5 %. Extension of FLS activities to include non-MT patients in 2022 would have cost an additional $198,326 AUD with a notional saving of $201, 351 AUD through refracture risk reduction. No clinically available characteristic at presentation predictive of increased refracture risk was identified.
Conclusion
The 3 year refracture after a non-MT injury is about half (57%) that of the refracture rate after a MT injury. Extending FLS activity to non-MT patients incurs a significant additional direct cost but remains cost neutral if notional savings gained through reduction in refracture risk are taken into account.
Incident Angle-dependent TM-TE splitting effect of topological photonic interface states
Authors: Zhao Degang , Li Pan , Guo Yuan , Xi Ying , Xiang Ying , Gao Wei , Zhang Xin
Published: January 2024

Topological phases in photonic systems have garnered significant attention, often relying on precise structural design for generating non-trivial topological phases. This study systematically explores incident angle-induced topological phase transitions in a one-dimensional photonic crystal (PC). Both TE and TM polarized modes undergo topological phase transitions at the same critical transition angles. Additionally, the TM-polarized mode undergoes a unique topological phase transition at the Brewster angle. Interestingly, when these two kinds of transition angles coincide, even the band structure of TM-polarized mode undergoes an open-close-reopen process, the topological properties of the corresponding bandgap remain unchanged. Based on theoretical analysis, we design a superlattice comprising two interfaced PCs having common bandgaps but different topological properties. By tuning the incident angle, we theoretically and experimentally achieve TE-TM splitting of topological interface states in the visible region, which may have potential applications in optical communications, optical switching, photonic integrated circuits, and so on.
Multi-View Context Awareness based Transport Stay Hotspot Recognization
Authors: Wu Tao , Mao Jiali , Zhu Yifan , Zhu Kaixuan , Zhou Aoying
Published: January 2024

During long distance transporting for bulk commodities, the trucks need to stop off at multiple places for resting, refueling, repairing or unloading, which are important in transport route planning, called as transport stay hotspots (or Tshot for short). Massive waybills and their related trajectories accumulated by the freight platforms enable us to recognize Tshots and keep them updated constantly. But due to most of Tshots have varying sizes and are adjacent to each other, it is hard to pinpoint their locations precisely. In addition, to correctly annotate functional tags of Tshots that have fewer visiting trajectories is quite difficult. In this paper, we propose a Multi-view Context awareness based transport Stay hotspot Recognization framework, called MCSR, consisting of location identification, feature extraction and functional tag annotation. To address the mis-detection issue in pinpointing adjacent Tshots having various sizes, we design a multi-view clustering based stay area merging strategy by incorporating distance between road turn-off locations, number of visiting trajectories with similarity of visiting time distribution. Further, aiming at the issue of low annotating precision resulted by data scarcity, based upon extracting behavioral features and attribute features from waybill trajectories, we leverage a time interval-aware self-attention network to extract semantic contextual features to assist in ensemble learning based annotation modeling correctly. Finally, extensive experiments and case studies are conducted on real steel logistics data to demonstrate the effectiveness and practicability of MCSR.
Endovascular Coiling versus Neurosurgical Clipping in the Management of Aneurysmal Subarachnoid Haemorrhage in the Elderly: A Multicenter Cohort Study
Authors: Lee Keng Siang , Siow Isabel , Yang Lily , Foo Aaron , Zhang John , Matthews Ian , Goh Chun Peng , Teo Colin , Nagarjun Bolem , Chen Vanessa , Lwin Sein , Teo Kejia , Low Shiong Wen , Sun Ira , Pang Boon Chuan , Yang Eugene , Yang Cunli , Gopinathan Anil , Yeo Tseng Tsai , Nga Vincent
Published: January 2024

Introduction
The comparability of endovascular coiling over neurosurgical clipping has not been firmly established in elderly patients with aneurysmal subarachnoid haemorrhage (aSAH).
Methods
Data were obtained from all patients with aSAH aged ≥60 across three tertiary hospitals in Singapore from 2014 to 2019. Outcome measures included modified Rankin Scale (mRS) score at 3 and at 6 months, and in-hospital mortality.
Results
Of the 134 patients analyzed, 84 (62.7%) underwent coiling and 50 (37.3%) underwent clipping. The endovascular group showed a higher incidence of good mRS score 0–2 at 3 months (OR = 2.45 [95%CI:11.16–5.20];p = 0.018), and a lower incidence of in-hospital mortality (OR = 0.31 [95%CI:0.10–0.91];p = 0.026). The benefit of coiling over clipping in terms of good mRS score at 6 months showed a trend towards statistical significance (OR = 1.98 [95%CI:0.97–4.04];p = 0.060). There were no significant differences in the incidence of complications, such as aneurysm rebleed, delayed hydrocephalus, delayed ischemic neurological deficit and venous thromboembolism between the two treatment groups. However, fewer patients in the coiling group developed large infarcts requiring decompressive craniectomy (OR = 0.32 [95%CI:0.12–0.90];p = 0.025). Age, admission WFNS score I–III, and coiling were independent predictors of good functional outcomes at 3 months. Only age and admission WFNS score I–III remained significant predictors of good functional outcomes at 6 months.
Conclusions
Endovascular coiling, compared with neurosurgical clipping, is associated with significantly better short term outcomes in carefully selected elderly patients with aSAH. Maximal intervention is recommended for aSAH in the young elderly age group and those with favorable WFNS scores.
Hysteresis in ENSO teleconnections under a CO2 removal pathway
Authors: An Soon , Shin Su-hyeon , Liu Chao , Yeh Sang-Wook , Min Seung-Ki , Son Seok-Woo , Kug Jong-Seong
Published: January 2024

El Niño-Southern Oscillation (ENSO) is the strongest interannual phenomenon occurring in tropical Pacific, significantly affecting the entire world. Until now, the response of ENSO to increasing CO2 concentrations has been extensively studied, but the reverse scenario is still not well comprehended. Here, we investigate the hysteresis of ENSO teleconnections in a CO2 removal simulation of an earth system model. During both the ramp-up and ramp-down periods of CO2 concentrations, Pacific-North American and Pacific-South American patterns are intensified, with their poles being shifted eastward. Even more significant alterations of teleconnection pattern during the ramp-down period lead to the ENSO teleconnection hysteresis. The ENSO teleconnection hysteresis is closely linked to the hysteresis of the dominant ENSO type, ENSO skewness and the zonal shift of ENSO-induced tropical atmospheric convection. The hysteresis in the eastern Hemispheric ENSO teleconnections is primarily caused by the prevalence of eastern-Pacific type El Niño during the ramp-down periods, while in the western Hemisphere, the hysteresis effect is attributed to both the enhanced ENSO skewness and the eastward shift of anomalous atmospheric convection during the ramp-down period. The alterations originating in the tropics are predominantly associated with irreversible and intensified southward migration of the Intertropical Convergence Zone, along with a stronger El Niño-like warming trend during the ramp-down period compared to the ramp-up period.
Leveraging Attention for Improved Discriminative Correlation Filters in Single Object Tracking
Authors: Elsaid Ahmed O. , Fouad Mohamed M. , Ghoniemy Tarek S.
Published: January 2024

Correlation Filter-based Trackers have shown impressive results in the object tracking research, outperforming classical trackers in several benchmarks. However, accurately tracking objects with deformation, fast motion, or occlusion remains a main challenge in the process of tracking. The cyclic suggestion of training samples used in correlation filter tracking usually lead to undesirable boundary effects, that significantly reduce the tracking efficiency. To address this issues, a hybrid attention-based correlation filter method (Att-DCF) is proposed for robust object tracking. By developing a discrimination filter and reducing the limitations of irrelevant features, the proposed approach provides more accurate and consistent estimated target locations. The proposed Att-DCF tracker is evaluated using the recent and standard datasets, OTB-100, Temple-Colour128, and UAV123. Compared to the baseline DCF tracker, the proposed tracker achieves an improvement of 2.71$\%$ and 1.38$\%$ in terms of area under the curve and precision measures using the OTB-100 dataset, 3.99$\%$ and 3.43$\%$ using the Temple-Colour128, and 4.72$\%$ and 1.76$\%$ using the UAV123, respectively.
Single-row and double-row shoulder suture techniques, combined with dynamic-static modeling, were employed for finite element analysis of the three-dimensional mechanics of the shoulder joint
Authors: Wang Yan , Yang Di , Zhang Kaiwei
Published: January 2024

Objective: Analyzing the mechanical differences in shoulder cuff repair between single-row and double-row suture techniques from a three-dimensional biomechanical perspective. This study aims to guide the selection of the most suitable surgical approach based on preoperative conditions and recommend appropriate postoperative rehabilitation training.
Methods: CT scan data of adult shoulder joints were imported into Mimics software for data extraction, reconstructing the geometric model of the shoulder joint. Subsequent repairs, noise reduction, and surface smoothing were performed using Geomagic Studio 2017. The model was then assembled in SolidWorks 2017, followed by meshing and boundary condition loading in ANSYS 17.0 for various computational analyses.
Results: Single-row and double-row suture techniques exhibit different muscle recovery effects at various angles. Considering prevention of re-tearing, muscle adhesion, and varying degrees of rotator cuff injuries, different repair techniques and rehabilitation training angles should be taken into account.
Conclusion: Double-row suture technique outperforms the single-row technique, mainly due to its larger contact area, providing effective postoperative assistance to human movement and demonstrating better overall effectiveness. However, depending on the specific injury context outlined in the study, the single-row suture technique may still be considered during surgery.
Oral immunization with acidified sucralfate@N-2-HACC/CMCS NPs elicits protective immune response in guinea pigs
Authors: Zhao Zhi , Qiao Shuai , Jin Zheng , Zhang Chunjing , Yin Tan Hui , Zhao Kai
Published: January 2024

Oral administration of vaccine is required to preserve the vaccine against degradation, enhance antigen absorption in the gastrointestinal tract, and trigger adaptive immune responses. Nanomaterials are an ideal delivery vector for the creation of oral vaccines, and we have previously shown that N-2-hydroxypropyl trimethyl ammonium chloride chitosan (N-2-HACC)/N,O-carboxymethyl chitosan (CMCS) based vaccine via oral administration led to protection against Newcastle disease virus. Hence, based on the immune adjuvant activity of N-2-HACC/CMCS nanoparticles and the advantage in resisting harsh gastric conditions of sucralfate acidified (SA), we constructed an oral vaccine delivery system based on SA and N-2-HACC/CMCS nanoparticles (SA@N-2-HACC/CMCS NPs), and the NPs were formulated to incorporate BSA. The SA@N-2-HACC/CMCS NPs had a particle size of 227 ± 7.0 nm and a zeta potential of 8.43 ± 2.62 mV. The NPs displayed slow and sustained release and high stability in simulated gastric juice and intestinal fluid. RAW 264.7 could better uptake the SA@N-2-HACC/CMCS/BSA NPs. The vaccine via oral administration markedly enhanced the residence time of BSA in the intestine for more than 12 h and elicited the production of IgG and sIgA. The SA@N-2-HACC/CMCS NPs developed here for oral administration is an excellent technique for delivering antigens and provides a path of mucosal vaccine research.
From Regional Integrated Development towards Sustainable Future: Evaluating the Belt and Road Initiative's Impact between Tourism, Fintech and Inclusive Green Growth
Authors: iftikhar huma , Ullah Atta , Pinglu Chen
Published: January 2024

China has incorporated the principle of inclusive green growth from the initiation of the Belt and Road Initiative (BRI) in 2013. Inclusive green growth is a balanced pathway that benefits economy, society, and the environment. Recognizing the trade-offs between economy and environment, it becomes imperative to analyze the influence of BRI on fostering inclusive green growth. This research is utilizing panel data of 148 BRI countries spanning the period from 2004 to 2021 (9 years before BRI, and 9 years after BRI). Additionally, the research investigates the moderating influence of BRI in enhancing the effects of tourism and financial technology (Fintech) on inclusive green growth by utilizing two-step system Generalized Method of Moments (GMM) approach. Outcomes reveal that the BRI positively moderates the influence of tourism and Fintech on inclusive green growth. Control factors, such as institutional quality, KOF globalization index, and renewable energy to total energy ratio promote inclusive green growth, while urbanization, household consumption per capita, and socio-economic conditions hinder the progress. The implications of this research are significant as it emphasis on the role of BRI in supporting tourism activities and exploring contemporary financial technologies for the accomplishment of United Nations’ sustainable development goals (SDGs).
Advancing MRI Capacitors: Design, Fabrication, and Characterization
Authors: JEBRI Zaineb , ALI Mahfoudh TALEB , Juergen Nistler
Published: January 2024

In today's healthcare landscape, MRI (magnetic resonance imaging) plays a pivotal role in early diagnosis and treatment decisions. However, the quest for higher frequencies to achieve micron-level resolutions poses technological challenges. This paper focuses on coils and capacitors, with special attention to air gap considerations for movable electrodes. The paper delves into the development of adjustable capacitors using high-fired NP0 ceramic, tailored for 128 MHz MRI systems. These capacitors boast impressive specs: a 3 kV breakdown voltage (VBreakdown), a 3 pF minimum capacitance (Cmin), a 30 pF maximum capacitance (CMax), and a 1.5 pF stepwise capacitance variation (Cvariation step). Notably, they enhance breakdown voltage while preserving frequency stability with MgTiCa ceramic between the fixer and mobile electrode, critical for adaptive blocks. Leveraging geometrical parameters analyzed through the ANSYS simulator, we meticulously designed an optimized 25-40 pF capacitor with a 15mm height and 1600 mm2 surface area. Post-fabrication and sintering, extensive testing using a vector network analyzer across 10 MHz to 100 MHz validated performance against simulated expectations.
Adversarial training-based denoising autoencoder for robustness against industrial data noise
Authors: Ning Zixiong , Xie Shiwen , Xie Yongfang , Wang Jie , Chen Xiaofang
Published: January 2024

Background: The collection of industrial data will inevitably introduce various types of noise. Recently, deep learning has shown promising results in implementing various industrial data applications. However, existing deep learning-based model are still vulnerable to data noise, which could deteriorate the performance of the models.
Methods: In this paper, we propose an adversarial training-based denoising autoencoder, called Adv-DAE, for industrial process modeling that is robust to noise interference. Due to the difficulty in obtaining datasets that cover all possible data noise characteristics, the proposed framework is developed to be zero-shot such that the model can be trained with only noise-free dataset without requiring any type of data noise, thus greatly saving the time and resources required to generate noise samples. In contrast, adversarial training is a gradient-based attack method, which can generate noisy corruption during the training processes, hence we serve the adversarial training method as the alternatives. Moreover, the adversarial examples generated by Adv-DAE are more difficult to identify than traditional noise types and can maximally corrupt clean sample data. We further provide theoretical convergence analysis for the proposed Adv-DAE to guarantee its successful practical application.
Results: Case studies on benchmark image datasets, the benchmark Tennessee Eastman Process and the real-world aluminum electrolysis process are presented to verify the effectiveness of Adv-DAE.Experimental results show that our proposed Adv-DAE has more robust feature extraction ability than the compared methods.
Conclusions: An adversarial training-based denoising autoencoder for robustness against industrial data noise is realized by our proposed algorithm.
A study of ZSM-5 molecular sieve shaping for an innovative cyclohexene hydration process
Authors: Wang Baohe , Jin Dianyi , Zhang Zhaobang , Ai Zihan , Zhu Jing
Published: January 2024

The development of the zeolite molecular sieves (ZSM-5) molding technique is essential for the cyclohexene hydration reaction distillation process in both industrial and rcarch settings. The reactive distillation process can solve many of the drawbacks associated with the existing technique of manufacturing cyclohexanol via cyclohexene hydration, such as high catalyst digestibility, low conversion rate, and operational challenges. In this thesis, a series of molded ZSM-5 catalysts with various binder types and contents were constructed. The suggested pseudo-boehmite and hydroxypropyl methylcellulose were chosen as binders for extrusion molding of ZSM-5. The effects of binders on the strength reliability were investigated by strength tests and statistical analysis of the Weibull function. The effects of binders on the physical structure, acidity, and catalytic performance of ZSM-5 were investigated by X-ray diffraction, scanning electron microscopy, physical adsorption of N2, and desorption of NH3. The findings demonstrate that the addition of binder has no effect on ZSM-5's crystal structure. The experiment's results showed that the molded catalyst could be used for the hydration process with over 95% selectivity and a yield of 10.45% cyclohexanol.
Cellular communication network factor 1 promotes retinal leakage in diabetic retinopathy via inducing neutrophil stasis and neutrophil extracellular traps extrusion
Authors: Li Ting , Qian Yixia , Li Haicheng , Wang Tongtong , Jiang Qi , Wang Yuchan , Zhu Yanhua , Li Shasha , He Xuemin , Shi Guojun , Su Wenru , Lu Yan , Chen Yanming
Published: January 2024

Background
Diabetic retinopathy (DR) is a major cause of blindness and is characterized by dysfunction of the retinal microvasculature. Neutrophil stasis, resulting in retinal inflammation and the occlusion of retinal microvessels, is a key mechanism driving DR. These plugging neutrophils subsequently release neutrophils extracellular traps (NETs), which further disrupts the retinal vasculature. Nevertheless, the primary catalyst for NETs extrusion in the retinal microenvironment under diabetic conditions remains unidentified. In recent studies, cellular communication network factor 1 (CCN1) has emerged as a central molecule modulating inflammation in pathological settings. Additionally, our previous research has shed light on the pathogenic role of CCN1 in maintaining endothelial integrity. However, the precise role of CCN1 in microvascular occlusion and its potential interaction with neutrophils in diabetic retinopathy have not yet been investigated.
Methods
We first examined the circulating level of CCN1 and NETs in our study cohort and analyzed related clinical parameters. To further evaluate the effects of CCN1 in vivo, we used recombinant CCN1 protein and CCN1 overexpression for gain-of-function, and CCN1 knockdown for loss-of-function by intravitreal injection in diabetic mice. The underlying mechanisms were further validated on human and mouse primary neutrophils and dHL60 cells.
Results
We detected increases in CCN1 and neutrophil elastase in the plasma of DR patients and the retinas of diabetic mice. CCN1 gain-of-function in the retina resulted in neutrophil stasis, NETs extrusion, capillary degeneration, and retinal leakage. Pre-treatment with DNase I to reduce NETs effectively eliminated CCN1-induced retinal leakage. Notably, both CCN1 knockdown and DNase I treatment rescued the retinal leakage in the context of diabetes. In vitro, CCN1 promoted adherence, migration, and NETs extrusion of neutrophils.
Conclusion
In this study, we uncover that CCN1 contributed to retinal inflammation, vessel occlusion and leakage by recruiting neutrophils and triggering NETs extrusion under diabetic conditions. Notably, manipulating CCN1 was able to hold therapeutic promise for the treatment of diabetic retinopathy.
Exploring the Association Between Type 2 Diabetes and Fecal Incontinence in American Adults: insights from a large cross-sectional study
Authors: LI Lun-chao , LIANG Li-Ming , WANG Man , LIU Hong-sheng
Published: January 2024

Background
The relationship between fecal incontinence (FI) and type 2 diabetes (T2D) has been well recognized, but a comprehensive understanding of this relationship is lacking, taking into account demographic factors and lifestyle variables.
Methods
Using a cross-sectional approach, 13,510 adults aged 20 years and older were identified from the 2005–2010 National Health and Nutrition Examination Survey. Multivariate logistic regression models were used to calculate the adjusted odds ratios (ORs), and further subgroup analyses and propensity score analysis were performed to ensure stable results.
Results
Among 13,510 adults, 11.2% had T2D, and 8.8% had FI. We found a strong T2D-FI link (OR: 1.30; 95% CI: 1.09–1.54, P < 0.001), even after adjusting for covariates. Age > 45 was a critical factor, with a stronger T2D-FI association. Sedentary behavior (OR: 1.41; 95% CI: 1.15–1.73) in T2D patients were associated with FI.
Conclusions
Our study highlights the significant T2D-FI link in US adults, especially in older T2D patients. Lifestyle changes may reduce FI risk. More research is needed for causality and mechanisms.
Empirical Analysis of Average Area per Room and House Price based on Two-way Fixed Effects Model - Evidence from China
Authors: Rong Runsheng , Liu Yushan , Li Zhenhao , Li Shanshan , Li Jiahui
Published: January 2024

With the continuous warming and cyclical fluctuations of the real estate price in China, the housing price is out of balance. The method about how to make rational investment decisions has become a hot issue. Our paper aims to help people to scan properties for sale and filter out properties with the greatest potential for future appreciation, so as to greatly improve the accuracy of investment decisions. This paper uses the data provided by IEEE CyberC. Based on the daily data of China’s real estate prices and related influencing factors from 2012 to 2018, a mathematical model with as the base is established for housing prices and related factors through empirical research. The Ordinary Least Squares Model with double fixed effects is used for regression model. The modeling passes the endogeneity test using instrumental variables, the heteroskedasticity test is used to verify and adjust the heteroskedasticity of the model, and the MAD test is carried out on the fit degree of the model. This paper draws the following c
An analysis of the interaction of infiltration waters from tungsten ore processing tailings and limestone
Authors:   Geological Institute named after N.L. Dobretsov SB RAS, Sanzhanova Seseg , Plyusnin Aleksey ,   Geological Institute named after N.L. Dobretsov SB RAS
Published: January 2024

An experimental plant designed to study the interaction of acidic pore waters in tailings ponds was developed. The study showed that processing tailings of the Dzhida tungsten-molybdenum plant contain residual ore mineralization, which decomposed during long-term storage. The filtrate obtained by washing sand with distilled water contains sulfur, aluminum, iron, manganese, zinc, copper, cadmium and other components. To displace all dissolved substances from the pore space of sand, the threefold volume of water is sufficient. When the filtrate is neutralized with limestone under the dynamic conditions, amorphous compounds of iron, calcium, aluminum, sulfur, silicon, and fluorine are precipitated and the minerals gypsum, dolomite, and smithsonite appear. In addition, precipitation of non-ferrous and rare earth elements occurs on the surface of limestone. The study revealed an europium anomaly. To precipitate rare earth elements from a solution, it is necessary to use substances with an active surface.
Comparison of designs of synchronous machines with integrated torque transformer for renewable energy
Authors: Koniushenko E. V. , Rahmanov Ilias , Molokanov O. N.
Published: January 2024

Increasing the specific torque of electric machines is an urgent problem for a number of low-speed power electromechanical systems, one of such systems is a wind power plant. Determining the optimal design of a synchronous generator with a built-in torque transformer is important for the further development of wind power. The purpose of the research is to determine the optimal design of a generator with a built-in torque transformer for wind power plants, which is a solution to the problem of creating low-speed, high-torque and relatively compact electric generators, and will make it possible to abandon the gear drive. The paper examines two designs of a direct drive synchronous generator with a built-in torque transformer with two and three air gaps. The calculation is performed using the Comsol Multiphysics software based on the finite element method. The main criteria for comparison are the generator's output power, the maximum torque of the low-speed rotor connected to the wind turbine, the maximum torque per unit volume of the generator, and the maximum torque per unit mass of the permanent magnets. Based on the calculation results, it has been concluded that a synchronous generator with two air gaps has a higher torque per unit volume and torque per mass of permanent magnets, i. e. with the same power, the expenses on active materials will be lower. This type of generator has a higher output power compared to both the direct-drive synchronous generator and the synchronous generator with three air gaps, with the same dimensional parameters.
Sistem Manajemen Sekolah Sepak Bola dan Kompetisi Bolasoft Menggunakan Metode Rapid Application Development
Authors: Bratakusuma Trias , Ma'arifah Windiya
Published: January 2024

Peran serta teknologi dalam mendukung sepakbola menjadi industri dari aspek olahraga akan sangat menguntungkan dan memiliki peminat yang sangat tinggi. Pengembangan sistem informasi bolasoft sebagai sistem manajemen sekolah sepak bola (SSB) dan manajemen kompetisi atau turnamen dengan mengadopsi kurikulum filanesia menjadi solusi dari permasalahan klasik dunia sepak bola di Indonesia. Bolasoft berupaya untuk mengatasi permasalahan klasik yang terjadi diantaranya praktik pemalsuan umur, joki pemain, overtraining, dan permasalahan terkait dengan standarisasi pengelolaan sekolah sepakbola (SSB). Sistem informasi bolasoft sebagai sistem manajemen sekolah sepak bola (SSB) dan manajemen kompetisi/turnamen diimplementasikan dalam sistem berbasisi website menggunakan metode pengembangan sistem Rapid Application Development (RAD). Sistem informasi bolasoft yang telah diimplementasikan kemudian diuji menggunakan metode black box testing dan juga user acceptance testing (UAT). Hasil pengujian menggunakan metode black box testing didapatkan nilai 100 valid untuk kategori fitur-fitur yang sesuai dengan kebutuhan pengguna dan dapat dioperasikan tanpa terdapat kendala secara teknis. Kemudian hasil pengujian menggunakan metode user acceptance testing (UAT) yaitu hasil dari pengujian dari segi penerimaan pengguna terhadap sistem yang dihasilkan mendapatkan hasil 100 % “Setuju” melalui tanggapan dari kuisioner yang dibagikan.
Analisa Kinerja Individu Berdasarkan Kepuasan Penggunaan E-Government di Indonesia (Studi Kasus DIKUPASI Diskopukmperindag Kota Mojokerto)
Authors: Abdullah Muhammad , Hafidz Mohammad Al , Supriyanto Heri , Prasetya Muhammad Septama , Nurhadi Mochamad , Karyawan Mochammad Anang
Published: January 2024

This study aims to determine the perceived usefulness of users of the DIKUPASI application at Diskopukmperindag in Mojokerto City by using the Usability model approach with 4 variables, namely Learnability, Flexibility, Effectiveness, and Attitude, and to analyze this usefulness on application user satisfaction and performance improvement. DIKUPASI is an institutional application that functions to monitor and update data on UKM in Mojokerto City. The research was conducted on surveyors in the City of Mojokerto using a sampling technique of 42 surveyors spread across the City of Mojokerto. The collection of research data was carried out by distributing questionnaires. Data processing is done with the SmartPLS application. The data processing that has been done shows that there are 2 hypotheses H4 and H5 obtained from the Usability model which have a significant and positive influence. Based on the results of hypothesis testing, the perception of satisfaction with the DIKUPASI application is positively and significantly influenced by user attitudes. Perceived performance improvement for DIKUPASI application users is significantly influenced positively by user satisfaction. Participation in research on the Department of Cooperatives, Small and Medium Enterprises, Industry and Trade in Mojokerto City which adopted the DIKUPASI application is necessary to pay attention to the perceptions of user attitudes so that users feel satisfied in using the application and can improve user performance. The perception of satisfaction can be created through encouragement of surveyors' willingness and how the DIKUPASI application has benefits that can help surveyors' work.
Penerapan Machine Learning Untuk Prediksi Bencana Banjir
Authors: Sandiwarno Sulis
Published: January 2024

Indonesia beriklim tropis karena terletak pada garis katulistiwa, oleh karena itu Indonesia juga hanya memiliki dua musim, yaitu musim kemarau dan musim hujan. Apabila musim hujan tiba dan curah hujan intensitasnya tinggi, maka hal tersebut berpotensi menyebabkan bencana banjir. Kerugian yang ditimbulkan akibat bencana banjir cukup besar. Untuk mengurangi risiko bencana dan kerugian akibat banjir, diperlukan inovasi dalam mitigasi bencana. Beberapa penelitan sebelumnya telah melakukan analisa dan prediksi mengenai bencana banjir dengan menggunakan metode berbasis machine learning seperti Support Vector Machine (SVM), K-Nearest Neighbor (KNN), dan Naive Bayes. Akan tetapi metode yang digunakan dalam penelitian tersebut memiliki permasalahan seperti tingkat akurasi yang rendah dan membutuhkan waktu yang lama untuk melakukan perhitungan data. Dalam penelitian ini kami mengusulkan sebuah model baru yang dinamakan Deep Neural Investigation Network (DNIN) algorithm, yang dikombinasikan dari Convolutional Neural Network (CNN) dan Bidirectional Long Short Term Memory (BiLSTM). Proses dari usulan metode dalam penelitiaan terdiri dari tiga bagian, yang pertama Convolutional Neural Network (CNN) digunakan untuk melakukan ekstraksi fitur spasial dari data banjir, selanjutnya Bidirectional Long Short Term Memory (BiLSTM) digunakan untuk menangkap pola temporal dari fitur-fitur tersebut. Kemudian tahap terakhir adalah menggabungkan hasil dari kedua metode tersebut. Hasil dari penelitian yang dilakukan terhadap data curah hujan, didapatkan informasi bahwa model yang kami usulkan lebih unggul dibandingkan dengan model sebelumnya dalam melakukan prediksi bencana banjir.
States, symmetries and correlators of $T\bar{T}$ and $ J\bar{T} $ symmetric orbifolds
Authors: Chakraborty Soumangsu Bhusan , Georgescu Silvia , Guica Monica
Published: January 2024

We derive various properties of symmetric product orbifolds of T\bar TTT‾ and J\bar TJT‾ - deformed CFTs from a field-theoretical perspective. First, we generalise the known formula for the torus partition function of a symmetric orbifold theory in terms of the one of the seed to non-conformal two-dimensional QFTs; specialising this to seed T\bar TTT‾ and J\bar TJT‾ - deformed CFTs reproduces previous results in the literature. Second, we show that the single-trace T\bar TTT‾ and J\bar TJT‾ deformations preserve the Virasoro and Kac-Moody symmetries of the undeformed symmetric product orbifold CFT, including their fractional counterparts, as well as the KdV charges. Finally, we discuss correlation functions in these theories. By extending a previously-proposed basis of operators for J\bar TJT‾ - deformed CFTs to the single-trace case, we explicitly compute the correlation functions of both untwisted and twisted-sector operators and compare them to an appropriate set of holographic correlators. Our derivations are based mainly on Hilbert space techniques and completely avoid the use of conformal invariance, which is not present in these models.