bluuebunny/crossref_metadata_2025_split huggingface dataset:
Systemic and cyber-physical methodology for the implementation of Industry 4.0 in Mexican companies of the automotive manufacturing industry
Authors: Romeo Lorenzo Lázaro González , Reyes Juan Bory , Ramírez Jorge A. Rojas 
Published: May 2023

Abstract
The transition towards the new technological paradigm in production systems resulting from Industry 4.0 (hereinafter I4.0), pursues among its main objectives, greater operational efficiency, and productivity, a greater scope of automation, customization, and flexibility in production, the increase in man-machine interaction, as well as the creation of more complex but better-paid jobs and new business models. For this reason, a broad understanding of what constitutes I4.0 today and what can represent the future requires knowledge about the technologies that make it up, as well as different tools that can help to carry out a correct and comprehensive implementation. The relevance of the Mexican automotive manufacturing industry in the national economy, as well as the importance of the I4.0 transition in this sector, is addressed, referring to several success stories and their key factors. A Systemic and Cyber-physical Methodology is presented as a fundamental component of this work, where its different stages are described, the used tools, and its isomorphic relationship with the Soft Systems Methodology. As an added element an illustrative example is provided of how the application of the Proposed Methodology would be in an Automotive Manufacturing Company.
Clinical diagnosis and treatment of prostate basal cell carcinoma: A case report and literature review
Authors: Xu Yan , Xiao Jun , Wang Zhaohui , Shen Zhou , Liu Yixun , Xu Congyun , Huang Tao 
Published: May 2023

Abstract
Background: Prostate basal cell carcinoma (BCC) is a rare pathological type of prostate cancer, representing only <0.01% of malignant prostate tumors.
Case presentation: A 73-year-old male patient presented to The First Affiliated Hospital of the University of Science and Technology of China (USTC) on December 28, 2020. The patient developed perineal dull pain and discomfort 15 years earlier, without obvious accompanying symptoms. The patient underwent multiple punctures and transurethral resection of the prostate (TURP), but no marked cancerization was noted, and the pain gradually worsened. Finally, puncture biopsy in the present hospital suggested BCC/adenoid cystic carcinoma (ACC) of the prostate. Pathology showed that the nuclei were relatively uniform, and the cytoplasm was scarce. Large, nested foci were observed accompanied by palisade arrangement of the surrounding cells, with necrosis in the center. Basaloid cells were irregularly arranged with small to medium solid nests. Stripes or small tubular structures were occasionally seen in which eosinophils were present. Nuclear division was rare. Based on histology and immunohistochemistry, the patient was diagnosed with prostate BCC/ACC. Because the patient had multiple distant metastases, surgery could not be performed. Hormonal therapy was performed. The patient died of bowel obstruction, intestinal perforation, and severe abdominopelvic infection 3 months later.
Conclusions: Prostate BCC is a rare prostate malignant tumor, with apparently latent manifestations in the early stage and no increase in prostate-specific antigen. Therefore, it could be easy to be ignored or missed. Furthermore, biological behaviors vary, and multiple metastases in the late-stage lead to a poor prognosis.
SMS-based interventions for improving child and adolescent vaccine coverage and timeliness: a systematic review
Authors: Currie Grace , McLeod Charlie , Waddington Claire , Snelling Thomas 
Published: May 2023

Abstract
Background The aim of this review was to investigate the impact of short message service (SMS)-based interventions on childhood vaccine coverage and timeliness.Methods A pre-defined search strategy was used to identify all relevant publications up until July 2022 from electronic databases. Reports of randomised trials written in English and involving children less than 18 years old were included. The review was conducted in accordance with PRISMA guidelines.Results Thirty randomised trials were identified. Most trials were conducted in high-income countries. There was marked heterogeneity between studies. SMS-based interventions were associated with small to moderate improvements in vaccine coverage and timeliness compared to no SMS reminder. Reminders with embedded education or which were combined with monetary incentives performed better than simple reminders in some settings.Conclusion Some SMS-based interventions appear effective for improving child vaccine coverage and timeliness in some settings. Future studies should focus on identifying which features of SMS-based strategies, including the message content and timing, are determinants of effectiveness.
Turbulence model parameter calibration method based on the combination of deep neural network surrogate model and genetic algorithm in supersonic flow over cavity-ramp
Authors: Liang Shuang , Guo Ming ming , Yi Rong miao , Tian Ye , Song Wen yan , Le Ling jia , Zhang Hua 
Published: May 2023

Abstract
The traditional turbulence models have the problem of low accuracy and poor applicability of normal value when predicting complex separation flows (such as shock wave/turbulent boundary-layer interaction). Therefore, cavity-ramp is chosen as the research object in this paper, and a turbulence model parameter calibration method based on a combination of deep neural network surrogate model and genetic algorithm is proposed. The Latin Hypercube Sampling method is used to obtain the sample space of nine uncertain parameters of the SST turbulence model, and then the hypersonic inside-outflow coupled numerical simulation software (AHL3D) is used to carry out the calculation. The cavity-ramp wall pressure samples corresponding to different turbulence model parameters are obtained, which are used to construct a deep neural network turbulence surrogate model. Finally, through the deep neural network turbulence surrogate model and experimental wall pressure data, genetic algorithm is used to optimize and calibrate the turbulence model parameters. Experimental results show that the deep neural network turbulence surrogate model is highly accurate, with a coefficient of determination above 0.99 for the predicted wall pressure curve. At the same time, the computational time of the deep neural network turbulence surrogate model is on the order of milliseconds, which can considerably improve the acquisition efficiency of the wall pressure; In addition, the calibrated turbulence model is closer to the experimental data in calculating the wall pressure, which validates the feasibility of the method and is expected to improve the computational accuracy of the current turbulence models.
Incidence and risk factors of skeletal-related events in patients with multiple myeloma: A population-based study of Korea
Authors: Lee Ji Yun , Lee Ju-Hyun , Kang Minsu , Jung Eun Hee , Kim Sang-A , Suh Koung Jin , Kim Ji-Won , Kim Se Hyun , Lee Jeong-Ok , Kim Jin Won , Kim Yu Jung , Lee Keun-Wook , Kim Jee Hyun , Lee Jong Seok , Bang Soo-Mee 
Published: May 2023

Abstract
Multiple myeloma (MM) patients are at risk of skeletal-related events (SREs) like spinal cord compression, pathologic fractures, bone surgery, and radiation to bone. Given the lack of real-world data on SREs in MM, we conducted a large, retrospective, nationwide cohort study from 2007 to 2018. 43.9% of 6,717 patients had SREs at baseline. After a median follow-up of 35.1 months, 43.6% of patients had SREs, and 39.6% had four or more. 9.6 months was the median SRE time (interquartile range [IQR], 1.2–25.8). The median time to first SRE was 3.0 months for patients with a history of SRE and 19.8 months for those without. During follow-up, 78.5% of patients received bone-targeting agents (BTAs). On multiple logistic regression analysis, females aged 50 years or older versus males under 50 years old (odds ratio [OR], 1.54), cerebrovascular disease (OR, 1.33), first-line chemotherapy regimen without bortezomib or lenalidomide (OR 1.50), and history of prior SREs with BTA use versus no history of SREs without BTA use (OR 5.79) were associated with SRE risk. This population-based study is the first to report the incidence and risk factors of SREs in Korean MM patients, which can be used to assess their bone health.
Pathological characteristics of axons and proteome patterns in midbrain dopaminergic neurodegeneration induced by WDR45-deficiency
Authors: Le Weidong , Wang Panpan , Al-Nusaif Murad , Zhang Jun , Yang Huijia , Yang Yuting , Kim Kunhyok , Li Song , Liu Cong , Cai Huaibin 
Published: May 2023

Abstract
Background
Although WD repeats domain 45 (WDR45) mutations have been linked to \({\beta }\)-propeller protein-associated neurodegeneration (BPAN), the precise molecular and cellular mechanisms behind this disease remain elusive. This study aims to shed light on the effects of WDR45-deficiency on neurodegeneration, specifically axonal degeneration, within the midbrain dopaminergic (DAergic) system. By examining pathological and molecular alterations, we hope to better understand the disease process.
Methods
To investigate the effects of WDR45 dysfunction on mouse behaviors and DAergic neurons, we developed a mouse model in which WDR45 was conditionally knocked out in midbrain DAergic neurons (WDR45cKO). Through a longitudinal study, we assessed alterations in mouse behavior using open field, rotarod, Y-maze, and 3-chamber social approach tests. To examine the pathological changes in DAergic neuron soma and axons, we utilized a combination of immunofluorescence staining and transmission electron microscopy. Additionally, we performed proteomic analyses of the striatum to identify the molecules and processes involved in striatal pathology.
Results
Our study of WDR45cKO mice revealed a range of deficits, including impaired motor function, emotional instability, and memory loss, coinciding with the profound loss of midbrain DAergic neurons. Prior to neuronal loss, we observed massive axonal enlargements in both the dorsal and ventral striatum. These enlargements were characterized by the accumulation of extensively fragmented tubular endoplasmic reticulum (ER), a hallmark of axonal degeneration. Additionally, we found that WDR45cKO mice exhibited disrupted autophagic flux. Proteomic analysis of the striatum in these mice showed that many differentially expressed proteins (DEPs) were enriched in amino acid, lipid, and tricarboxylic acid metabolisms. Of note, we observed significant alterations in the expression of genes encoding DEPs that regulate phospholipids catabolic and biosynthetic processes, such as lysophosphatidylcholine acyltransferase 1, ethanolamine-phosphate phospho-lyase, and abhydrolase domain containing 4, N-acyl phospholipase B. These findings suggest a possible link between phospholipid metabolism and striatal axon degeneration.
Conclusions
In this study, we have uncovered the molecular mechanisms underlying the contribution of WDR45-deficiency to axonal degeneration, revealing intricate relationships between tubular ER dysfunction, phospholipid metabolism, BPAN and other neurodegenerative diseases. These findings significantly advance our understanding of the fundamental molecular mechanisms driving neurodegeneration and may provide a foundation for developing novel, mechanistically-based therapeutic interventions.
The number of prior pregnancy losses does not impact euploidy rates in young patients with idiopathic recurrent pregnancy loss.
Authors: Turgut Emre Niyazi , Boynukalin Kubra Fazilet , Gultomruk Meral , Yarkiner Zalihe , Abali Remzi , Bahceci Mustafa 
Published: May 2023

Abstract
Purpose
Our study aimed to determine the possible factors that might impact the probability of obtaining a euploid blastocyst following intracytoplasmic sperm injection (ICSI) and preimplantation genetic testing for aneuploidy (PGT-A) procedures in idiopathic recurrent pregnancy loss (RPL) patients.
Methods
This single-center retrospective cohort analysis included 180 oocyte retrieval cycles of 166 women under 35 years old and those diagnosed with idiopathic RPL according to American Society of Reproductive Medicine (ASRM) guidelines. Trophectoderm biopsy and next-generation sequencing (NGS) were the techniques used. Patients were stratified by the number of previous losses (Group A: 2, Group B: 3, and Group C: >3).
Results
Baseline and embryological characteristics showed no statistically significant differences. The euploidy rate per analyzed blastocyst was comparable within the groups (63.3%, %, 58.2%, and 58.5%; p = 0.477). Logistic regression analyses confirmed that only the trophectoderm scores of A and B increased the probability of obtaining a euploid embryo [OR: 1,82, 95% CI: (1,120-2,956); p: 0,016].
Conclusion
It is concluded that there was no correlation between the number of previous losses and the chance of finding at least one euploid embryo in ICSI cycles of women younger than 35 years old.
Development of an antibody-dependent cellular phagocytosis (ADCP) gene signature to predict prognosis in hepatocellular carcinoma
Authors: Wang Junying , Zhu Xi , Kao Xiaoming , Wen Yazhou 
Published: May 2023

Abstract
It remains unclear whether ADCP-related genes are linked to the prognosis of hepatocellular carcinoma (HCC). We obtained RNA-seq data and relevant clinical information on HCC from The Cancer Genome Atlas (TCGA) and the International Cancer Genome Consortium (ICGC) databases. We also obtained ADCP-related genes from a previous publication. We developed and validated a five-gene signature (ELOVL1, PRKCD, SORD, SPN, and CBFA2T3), which was dichotomized based on the median risk score. Patients in the high-risk group exhibited a significantly worse prognosis (p < 0.001). To account for other independent prognostic factors, such as the M stage and T stage, we constructed a nomogram that integrated clinical factors and risk scores. The nomogram demonstrated high predictive efficacies of 0.766, 0.784, and 0.797 (AUC) at 1, 3, and 5 years, respectively. Additionally, the low-risk group exhibited increased antitumor immune infiltrates, a higher immune score, and enrichment of antitumor immune pathways. Drug sensitivity analysis revealed that the low-risk group showed higher sensitivity to sorafenib (p < 0.001) and rapamycin (p < 0.0001) compared to the high-risk group. We identified a five-gene ADCP signature that was correlated with prognosis, immune microenvironment characteristics and drug sensitivity in hepatocellular carcinoma.
Fabrication of BA-doped ER-based microfluidics using CO 2 laser ablation: an impact of doping ER with boric acid
Authors: Mansour Heba , Soliman Emad A. , El-Bab Ahmed M. Fath , Matsushita Yoshihisa , Abdel-Mawgood Ahmed L. 
Published: May 2023

Abstract
This study investigated the thermal properties of epoxy resin by adding boric acid with different concentrations. The chemical structural and optical properties of the neat epoxy resin and the epoxy resin filled with different concentrations of boric acid were characterized by FTIR and spectrophotometer. TGA, DSC, and DTA investigate the thermal characteristics. Moreover, a specific migration test was accomplished to quantify potential migrants by GC–MS to prove that the prepared samples would not release unreacted monomers or boric acid to the biological solution test, which caused inhibition of or interfered with the sensitive biological reactions. By investigating the impact of this process on microchannels' dimensions and quality, a laser technique using CO2 laser was used for engraving into a transparent epoxy resin chip. The resulting microchannels were characterized using 3D laser microscopy. The outcomes of this study showed a reduction in the surface roughness and negligible bulge heights in the laser-ablated microchannels. This study validated the addition of boric acid to enhance the thermal properties of the cured epoxy resin, which led to better microchannel quality.
Does Vitamin B12 Influence Clinical Pregnancy Outcome in the follicular-phase GnRH agonist protocol?
Authors: Wang Xiaoning , Fu Kui , Zhang Ying , Jiang Shengfang , Zhang Changjun 
Published: May 2023

Abstract
Purpose
To investigate whether vitamin B12 levels affect IVF-ET pregnancy outcomes.
Design
Single-center, retrospective, observational study.
Patients From November 2018 to December 2019, patients who received IVF-assisted pregnancy treatment were analyzed.
Main outcome measures
The primary outcome was the clinical pregnancy rate (CPR).
RESULTS
After adjusting for Age, BMI, AMH, cleavage-stage embryos/blastocysts, and the number of transferred embryos, when the vitamin B12 value was ≤353.2 pg/ml, for every 10 pg/ml increase in the vitamin B12 value, the clinical pregnancy rate increased by 5% (OR=1.05, 95% CI=1.00, 1.09, P=0.0304).
CONCLUSION
Serum vitamin B12 levels may be an important factor related to the clinical pregnancy rate for women who undergo IVF-ET with the follicular-phase GnRH agonist protocol.
Development of Gate Driver Circuit for A Proposed Novel Hybrid DC Circuit Breaker Topology
Authors: Agrawal Shubham , B Subba Reddy , Umanand L. 
Published: May 2023

Abstract
An isolated gate driver is a prime requirement to operate an IGBT/MOSFET or any electronic devices like SiC MOSFET. The paper proposes a novel gate driver circuit based on UCC21750 gate driver IC, which can drive the devices of different technologies such as si-MOSFET, SiC MOSFET, superFET MOSFET, and IGBT in the first part of the investigation. The proposed gate driver circuit can trigger the devices that operate on various gate to source(emitter) voltage $V_{GS}(V_{GE})$ because it provides a gate to source(emitter) voltage of 18V, 15V, 12V, 8V, and 5V by switching a 4-way DIP switch. The second part of the paper focuses on developing a novel hybrid Direct Current Circuit Breaker (DCCB) that can accommodate the mechanical time constant taken by the mechanical switch after the pulse is provided to the actuator or a relay. The hybrid DCCB consists of four MOSFETs driven by the proposed gate driver circuit. The proposed DCCB operates when the current through the mechanical switch is zero and provides arc-free fault clearance. A detailed analysis of the proposed DCCB and MATLAB simulation is conducted. The results are validated through appropriate hardware on 100V and 2A load using an electromechanical relay GR2G-2A-X 12VDC and a DC contactor (part no. DCNLEV100-BN) as the mechanical switch.
Dy-MIL: Dynamic Multiple-Instance Learning Framework for Video Anomaly Detection
Authors: Li Chen , Chen Mo 
Published: May 2023

Abstract
Anomaly detection is an extremely challenging task in the field of visual understanding because it involves identifying events that deviate significantly from normal patterns. One of the primary reasons for the difficulty of this task is the diversity and complexity of anomalous events. Therefore, it is impossible for us to collect all types of anomalies and label them. In recent work, weakly supervised methods becomes one of the optimal solutions for anomaly detection. Thus, in this paper, we focus on weakly supervised learning and propose a dynamic multiple-instance learning framework for video anomaly detection, which develops a dynamic ranking method combined the k-max-selection scheme to enlarge the inter-class distance between anomalous and normal instances by only using video-level labels. Experimental results demonstrate that our framework achieves superior improvements on three benchmark datasets, including the ShanghaiTech dataset, UCF Crime dataset and NUT dataset.
Degradation Feature Extraction from Quay Crane Gearboxes Based on StaticDivided Symbol Sequence Entropy
Authors: Gu Chunxia , Bi Juan , Wang Bing 
Published: May 2023

Abstract
Gearboxes are important transmission equipment for quay crane hoisting mechanisms. To accurately extract degradation features from vibration monitoring signals, a degradation feature extraction technique based on static divided symbol sequence entropy is proposed. Considering the uniformity of the symbolization standard, the technique takes the root mean square of the health condition signal as the basis and incorporates the scale coefficient to establish a uniform basic scale. Simultaneously, the symbol set is expanded to enhance the information content and the ability of the approach to characterize the complexity levels of signals in large-value regions. The logistic chaotic sequence and the lifetime signal of the hoisting mechanism gearbox are separately used for analysis. The results show that the proposed technique is able to characterize the complexity of the nonlinear time series and sensitively describe the performance degradation exhibited by the hoisting mechanism gearbox. The calculation speed is fast, which will lay a foundation for methods to further evaluate the health conditions of large-scale quay cranes in ports.
Development of a Pain Measurement Device Using 3D printing and electronic air pressure control
Authors: Velasco Jose M. Sierra , Rodriguez Mª del Rocío Fernandez , Rodríguez Jose Luis Cortizo , González Juan Díaz 
Published: May 2023

Abstract
This article describes the design of a system wireless pain monitor, also known as a pain meter, which will be used to diagnose people with fibromyalgia. As the test should be done simultaneously while a Magnetic Resonance Imaging (MRI) is being performed on the patient to observe the brain activity, the device can´t have metallic components. Solid modelling and additive manufacturing has been used for the manufacturing of the device and an electropneumatic control has been defined too, several prototypes have been manufactured and tested. The work focuses on the validation of the designed pain meter, built by Fused Deposition Modeling (FDM) technology in different materials and with different printers. The surface finishes and manufacturing tolerances of the critical parts were tested, and their suitability to the necessary function is verified. A proper mechanical pain meter device has been designed, to be used in fibromyalgia diagnosis, compatible without steel components nor wires, so compatible with simultaneously MRI on the patient.
Biomining of Lunar regolith simulant EAC-1A with the fungus Penicillium simplicissimum
Authors: Figueira Joao , Koch Stella , Müller Daniel W. , Slawik Sebastian , Cowley Aidan , Moeller Ralf , Cortesao Marta 
Published: May 2023

Abstract
On a future lunar habitat, acquiring needed resources in situ will inevitably come from the Lunar regolith. Biomining-the use of microorganisms to extract metals from the regolith-is sustainable and energy-efficient, making it highly promising for space exploration applications. Given the extensive use of filamentous fungi in industrial biotechnology, we investigated the ability of the fungus Penicillium simplicissimum to extract metals from the European Astronaut Centre lunar regolith simulant 1 (EAC-1A), which will be used as the analogue soil at the European Lunar Exploration Laboratory (LUNA) facility at the European Space Agency (ESA) and German Aerospace Centre (DLR) site. Biocompatibility tests demonstrated P. simplicissimum tolerance to high concentrations of EAC-1A regolith (up to 60 %), both on Earth gravity and Lunar simulated gravity. A fungal bioleaching setup was developed using a low nutrient medium, that allowed the fungus to extract metals from EAC-1A over the course of 2 weeks, including aluminium, iron, magnesium and calcium, among others. Metal recovery from the leachate achieved a promising average of 10 ± 3 g/L of metal powder. Our study demonstrates fungal biomining as a promising in situ resource utilization (ISRU) approach to be used in future missions to the Moon.