bluuebunny/crossref_metadata_2025_split huggingface dataset:
Embedding Risk in Total Productive Maintenance Model
Authors: Chundhoo Vickram , Chattopadhyay Gopinath , Karmakar Gour , Appuhamillage Gayan Kahandawa 
Published: May 2024

Abstract

This study highlights the significance of integrating risk considerations into Total Productive Maintenance (TPM) practices to enhance machine performance reliability and maintenance. While TPM is acknowledged for its effectiveness in addressing various issues, current methodologies lack a theoretical foundation that incorporates risk into the Overall Equipment Effectiveness (OEE), a key performance indicator. Identifying this gap, the research introduces a novel approach to embed risk into OEE, particularly focusing on economic risks associated with breakdown failures. Real machine failure data from the meat industry are utilized to estimate reliability parameters and coefficients for loss value estimation. The proposed risk-based OEE framework is compared with traditional approaches, demonstrating its versatility across manufacturing sectors. By incorporating economic risk into TPM, decision-makers gain insights into the financial implications of breakdown failures, facilitating informed decision-making in asset management and enhancing overall risk management within the TPM framework.
Haploinsufficiency of miR-143 and miR-145 reveal targetable dependencies in resistant del(5q) myelodysplastic syndrome
Authors: Karsan Aly , Gharaee Nadia , Wegrzyn-Woltosz Joanna , Cole Grace , Akhade Vijay , Bridgers Joshua , Stubbins Ryan , Hiwase Devendra , Kutyna Monika , Chan Onyee , Komrokji Rami , Padron Eric , Umlandt Patricia , Deng Yu , Fuller Megan , Kim Ada 
Published: May 2024

Abstract

Myelodysplastic syndromes (MDS) are stem cell disorders characterized by ineffective hematopoiesis and risk of transformation to acute myeloid leukemia (AML). Chromosomal alterations are frequent in MDS, with interstitial deletion of chromosome 5q (del(5q)) being the most common. Lenalidomide is the current first-line treatment for del(5q) MDS and its efficacy relies on degradation of CK1α which is encoded by the CSNK1A1 gene located in the commonly deleted region (CDR) of chromosome 5q. However, lenalidomide-resistance is common, often secondary to loss-of-function mutations in TP53 or RUNX1. The CDR in del(5q) harbors several genes, including noncoding miRNAs, the loss of which contribute to disease phenotypes. miR-143 and miR-145 are located within the del(5q) CDR, but precise understanding of their role in human hematopoiesis and in the pathogenesis of del(5q) MDS is lacking. Here we provide evidence that deficiency of miR-143 and miR-145 plays a role in clonal expansion of del(5q) MDS. We show that insulin-like growth factor 1 receptor (IGF-1R) is a direct target of both miR-143 and miR-145. Our data demonstrate that IGF-1R inhibition reduces proliferation and viability of del(5q) cells in vitro and in vivo, and that lenalidomide-resistant del(5q) MDS cells depleted of either TP53 or RUNX1 are sensitive to IGF-1R inhibition. Resistant del(5q) MDS-L cells, as well as primary MDS marrow cells, are also sensitive to targeting of IGF-1R-related dependencies in del(5q) MDS, which include the Abl and MAPK signaling pathways. This work thus provides potential new therapeutic avenues for lenalidomide-resistant del(5q) MDS.
CGAOA-AttBiGRU: A novel deep learning framework for forecasting CO 2 emissions
Authors: Liu HaiJun , Wu Yang , Shan WeiFeng , Yuan Jing , Chen Yi , Li LiangChao , Wang HaoRan 
Published: May 2024

Abstract

Background: Accurately predicting carbon dioxide (CO2) emissions is crucial for environmental protection. Currently, there are two main issues with predicting CO2 emissions: (1) existing CO2 emission prediction models mainly rely on such as Long Short-Term Memory (LSTM) and Gate Recurrent Unit (GRU), which can only model unidirectional temporal features, resulting in insufficient accuracy: (2) existing research on CO2 emissions mainly focuses on designing predictive models, without paying attention to model optimization, resulting in models being unable to achieve their optimal performance.
Methods: To address the aforementioned issues, this paper proposed a framework for predicting CO2 emissions, named as CGAOA-AttBiGRU. In this framework, Attentional-Bidirectional Gate Recurrent Unit (AttBiGRU) is a prediction model that uses BiGRU units to extract bidirectional temporal features from the data, and adopts an attention mechanism to adaptively weight the bidirectional temporal features, thereby improving prediction accuracy. CGAOA is an improved Arithmetic Optimization Algorithm (AOA) used to optimize the 5 key hyperparameters of the AttBiGRU.
Results: We first validated the optimization performance of the improved CGAOA algorithm on 24 benchmark functions. Then, CGAOA was used to optimize AttBiGRU and compared with 12 optimization algorithms. The results indicate that the AttBiGRU optimized by CGAOA has the best predictive performance. Finally, the optimized AttBiGRU was compared with the BiGRU, LSTM, GRU, ANN, and SVM on predicting CO2 emissions from 4 sectors in China. The experimental results showed that AttBiGRU is significantly better than the comparison models.
Conclusions: This paper proposed a novel framework, CGAOA-AttBiGRU, for predicting CO2 emissions. This framework not only includes predictive models, but also optimization method for the models. This study will guide researchers to not only focus on proposing new predictive models, but also on model optimization.
Contrast Staining CT Score on Non-Contrast CT Immediately After Endovascular Thrombectomy Predicts the Need for Decompressive Craniectomy in Patients with Acute Large Artery Occlusion
Authors: zhang chunlei , Shi Zhonghua , He Jianqing , Chen Lei , Cao Jiaming , Lu Zehua , Huan Qiaohua , Wang Yuhai 
Published: May 2024

Abstract

Objective: Early decompressive craniectomy (DC) is often required due to malignant cerebral edema after endovascular thrombectomy (EVT) of acute anterior circulation large vessel occlusion. This study aimed to evaluate the value of quantitative contrast staining areas with immediate non-contrast CT (NCCT) after EVT to predict the need for subsequent DC.
Methods: A retrospective analysis was conducted on a cohort comprising 335 individuals with acute anterior circulation large vessel occlusion undergoing EVT between January 2017 and January 2022. The supply area of the internal carotid artery in one hemisphere was divided into nine regions. A score of 1 was assigned to each region if contrast staining (CS) was observed on NCCT after EVT. The relationship between risk factors, including assumed contrast staining CT score (CSCS), and DC was evaluated using univariate and multivariate logistic regression analyses. The sensitivity, specificity, positive and negative predictive values of the CSCS in predicting the need for DC were calculated using receiver operating characteristic (ROC) curve analysis.
Results: A total of 238 patients (71.0%) demonstrated CS on immediate NCCT, of which 51 (15.2%) had the need for DC. Multivariate regression analysis revealed that CSCS [odds ratio (OR) 1.63; 95% confidence interval (CI), 1.36-1.95; P < 0.001; per 1 point] and poor collateral circulation [OR, 4.90; 95% CI, 1.12-21.32; P = 0.034] were independent risk factors for predicting the need for DC. The ROC curve for the CSCS had an area under the curve of 0.838, with a cutoff value of 4.0. The sensitivity, specificity, positive predictive value, and negative predictive value were 0.71, 0.91, 0.61, and 0.95, respectively.
Conclusion: The contrast staining score based on NCCT immediately after EVT may serve as a valuable predictive tool for early DC.
The preliminary study of patient-derived metastatic brain tumors in a highly mimetic ex vivo spheroid-based physiological model for clinical precision therapeutics
Authors: Chang Chun-Jen , Kan Kai-Wen , Nan Yu-Han , Juan Yu-Chung , Tu Chih-Hsiu , Yang Chen-Ting , Hsu Wei-Lin , Cho Der-Yang , Shie Ming-You , Chen Yi-Wen , Chen Chun-Chung 
Published: May 2024

Abstract

Metastatic brain tumors present a formidable challenge in clinical oncology due to their heterogeneity and limited treatment options. This study aimed to introduce and assess the patient-derived tumor spheroid (PDTS) system as an innovative approach for precision drug testing in metastatic brain tumors. By replicating the brain tumor microenvironment ex vivo, our goal is to improve the selection of effective anticancer drugs tailored to individual patients. Using decellularized extracellular matrix (dECM) from adipose tissues, the PDTS system generated tumor spheroids from surgical tissue samples for drug testing. In preliminary data, 17 patients met the criteria for final analysis, which showed an overall 57% accuracy, with improvements to 73% accuracy when patients receiving certain treatments were excluded. This ex vivo model offers real-time results within three weeks, simultaneous testing of multiple drugs, and the ability to culture and store tumor cells for reproducibility. Despite limitations, such as the inability to simulate the blood‒brain barrier or study immune system interactions, the PDTS represents a valuable tool for precision medicine in metastatic brain tumors. Further research and refinement may lead to its integration into clinical practice, ultimately improving outcomes for patients with metastatic brain tumors.
Remote General Movement Assessment for early detection of Cerebral Palsy in high-risk infants: A Knowledge Translational Study implementing home filming in a Norwegian cohort.
Authors: Adde Lars , Fjørtoft Toril , Lade Randi , Osland Siril , Piegsa Frank , Sandstrøm Per Gunnar , Støen Ragnhild , Størvold Gunfrid V. , Åberg Kristin Bjørnstad , Eriksen Beate Horsberg 
Published: May 2024

Abstract

Background
General Movement Assessment (GMA) is recommended for early detection of risk for cerebral palsy but requires trained clinical experts. We aimed to implement home- and hospital-based filming for remote GMA in a Norwegian high-risk infant cohort, as well as evaluating parents’ experiences in filming their infant at home.
Methods
This knowledge translational study used a prospective cohort design including participants referred to neurodevelopmental follow-up across three sites in the Central Norway Regional Health Authority. Two home films of the fidgety type of general movements were collected between 12+ 1-14+ 6 and 15+ 1-17+ 6 weeks after term by parents. An additional film was collected at the hospital between 12+ 1 and 17+ 6 weeks after term. The instructional guide for all filming was the In-Motion App standards. Videos were transferred to a remote GMA team and classified as either “GMA scorable” or “GMA not scorable” based on Prechtl’s GMA standards. Parents responded to an online survey using a 5-point Likert scale to collect information about their perspectives, experiences, and possible worries by filming their infant at home.
Results
One-hundred-and-two infants from 95 families participated. Ninety-two (96.8%) families transferred 177 home-based videos. Eighty-four (92%) of these had 95 videos taken in their local hospital. All 177 home-videos were “GMA scorable” and three (3,1%) out of 95 hospital-based videos were classified as “GMA not scorable”. Eight families did not respond to the survey and two families did not receive the survey due to a technical error. Seventy-eight (91.7%) respondents agreed or strongly agreed that it was easy to perform home filming and five (5.9%) agreed that they were more worried about their child`s development after filming at home. Almost 80% of respondents agreed that a video for GMA can be taken at home instead of in hospital.
Conclusion
This study strengthens the clinical implementation of home filming by parents and remote GMA for early detection of CP in high-risk follow-up programs. The implementation of remote GMA has the potential to facilitate early intervention to improve function in children with CP in line with international recommendations.
Trial registration:
ClinicalTrials.gov ID: NCT04287166 Date of registration: 27/02/2020
Separation of sperm based on rheotaxis mechanism using microfluidic device
Authors: Torkashvand Hossein , Shabani Ronak , Pilehvari Shamim , Moghimi Mahdi , Torkashvand Leila , Mehdizadeh Rana , Derakhshan Roya , Mehdizadeh Mehdi 
Published: May 2024

Abstract

Background
Assisted reproductive technologies (ARTs) face a significant hurdle in efficiently selecting the most capable sperm population from a semen sample. In this study, we have developed an innovative microfluidic device designed to utilize rheotaxis for highly efficient sperm sorting. This novel approach allows for the effective selection of high-quality sperm populations compared to other conventional methods.
Method
30 normal samples from couples undergoing ICSI cycle were included in the study. The samples were analyzed and examined in the andrology unit of the Infertility Center at Fatemieh Hospital in Hamedan. Each sample were split into three distinct groups: Group 1: initial sample (Control), Group 2: Direct Swim-Up sperm selection (DSU), and Group 3: Sperm selection with rheotaxis. We used a syringe pump connected to the microfluidic device to create optimal flow in the device. The spermatozoa underwent evaluation for concentration, motility, and morphology, mitochondrial membrane potential (MMP), and sperm DNA fragmentation index (DFI). A one-way ANOVA followed by a Student's t-test was conducted to ascertain the statistical significance of observed differences.
Results
Concentration (7.46 ± 2.84 vs. 56.67 ± 18.27; p < 0.0001) and DNA fragmentation (2.93 ± 2.70 vs. 21.13 ± 5.27; p < 0.0001) after selection in the rheotaxis microfluidic device were significantly lower than control group. The progressive motility (98.10 ± 2.41% vs. 44.13 ± 7.06%, p < 0.0001), normal morphology (8.36 ± 1.47% vs. 5.20 ± 1.15, p < 0.0001), MMP (99.63 ± 0.71% vs. 81.13 ± 9.19%, p < 0.0001), in the rheotaxis microfluidic device experienced a noteworthy rise in comparison to the control group.
Conclusion
our study demonstrates the effectiveness of the rheotaxis-based microfluidic device in selecting a high-quality sperm population, showcasing improved motility, morphology, mitochondrial membrane potential, and reduced DNA fragmentation. This advancement holds promise for enhancing assisted reproductive technologies.
Frailty detection with routine blood tests: based on the English longitudinal study of ageing (ELSA)
Authors: He Lingxiao , Yang Jinzhu , Lin Shujing , Shi Kanglin , Fang Ya 
Published: May 2024

Abstract

Purpose
Frailty is a rising global health issue in ageing society. Easily accessible and sensitive tools are needed for frailty monitoring while routine blood factors can be potential candidates.
Methods
Data of 1907 participants (aged 60 years or above) were collected from the 4th to 9th wave of the English longitudinal study of ageing. 14 blood factors obtained from blood tests were included in the analysis. A 52-item frailty index (FI) was calculated for frailty evaluation. Logistic regression and Cox proportional hazards analysis were used to explore the relationships between baseline blood factors and the occurrence of frailty over time respectively. All analyses were controlled for age and sex.
Results
Our study identified that 8 blood factors (mean corpuscular haemoglobin, HDL, triglyceride, ferritin, hsCRP, dehydroepiandrosterone, haemoglobin, and WBC) involved in inflammatory, nutritional and metabolic processes were associated with frailty. The combined model with these 8 blood factors had an AUC of 0.758 at cross-sectional level. In the Cox proportional hazards analysis, higher triglyceride (HR: 1.30, 95%CI: 1.07 ~ 1.59), WBC (HR: 1.16, 95%CI: 1.05 ~ 1.28), and lower HDL (HR: 0.58, 95%CI: 0.38 ~ 0.90) at baseline were linked to greater risk of developing frailty within 10 years. Compared to adults without abnormal blood factors at baseline, the hazard ratios of participants with two or more abnormal blood factors were almost 2-fold higher in developing frailty over time.
Conclusions
Routine blood factors, particularly triglyceride, HDL and WBC, could be used for frailty screening in clinical practice and estimate the development of frailty over time.
Production of Carbon Samples With Extreme Physical Conditions Using Intense Heavy Ion Beams at the Facility for Antiprotons and Ion Research: Application to Planetary Physics Research
Authors: Tahir Naeem Ahmad , Bagnoud Vincet , Neumayer Paul , Piriz Antonio Roberto , Piriz Sofia Ayelen 
Published: May 2024

Abstract

The possibility of existence of carbon-rich-planets makes it important to study High Energy States of carbon in order to understand the internal structure of such planets. In this paper, we present two-dimensional hydrodynamic simulations of a low-entropy compression of a carbon sample that is enclosed in a high-Z cylindrical shell that is driven by a high intensity uranium beam. The considered beam parameters are the ones that will be available at the accelerator facility, named, FAIR, at Darmstadt. This study has shown that the carbon sample can be compressed to super-solid densities, ultra-high pressures, while the temperature remains relatively low. These are the typical physical conditions that are expected to exist in the planetary interiors. An experimental study of the thermophysical and transport properties of such samples will significantly improve our knowledge about formation and evolution of different type of planets.
Biomarkers of Airway Disease, Barrett’s and Underdiagnosed Reflux Noninvasively (BAD-BURN): a Case-Control Observational Study Protocol
Authors: Javed Urooj , Podury Sanjiti , Kwon Sophia , Liu Mengling , Kim Daniel , Zadeh Aida Fallah , Li Yiwei , Khan Abraham , Francois Fritz , Schwartz Theresa , Zeig-Owens Rachel , Grunig Gabrielle , Veerappan Arul , Zhou Joanna , Crowley George , Prezant David , Nolan Anna 
Published: May 2024

Abstract

BACKGROUND.
Particulate matter exposure (PM) is a cause of aerodigestive disease globally. The destruction of the World Trade Center (WTC) exposed first responders and inhabitants of New York City to WTC-PM and caused obstructive airways disease (OAD), gastroesophageal reflux disease (GERD) and Barrett’s Esophagus (BE). GERD not only diminishes health-related quality of life but also gives rise to complications that extend beyond the scope of BE. GERD can incite or exacerbate allergies, sinusitis, bronchitis, and asthma. Disease features of the aerodigestive axis can overlap, often necessitating more invasive diagnostic testing and treatment modalities. This presents a need to develop novel non-invasive biomarkers of GERD, BE, airway hyperreactivity (AHR), treatment efficacy, and severity of symptoms.
METHODS.
Our observational case-cohort study will leverage the longitudinally phenotyped Fire Department of New York (FDNY)-WTC exposed cohort to identify Biomarkers of Airway Disease, Barrett’s and Underdiagnosed Reflux Noninvasively (BAD-BURN). Our study population consists of n = 4,192 individuals from which we have randomly selected a sub-cohort control group (n = 837). We will then recruit subgroups of i. AHR only ii. GERD only iii. BE iv. GERD/BE and AHR overlap or v. No GERD or AHR, from the sub-cohort control group. We will then phenotype and examine non-invasive biomarkers of these subgroups to identify under-diagnosis and/or treatment efficacy. The findings may further contribute to the development of future biologically plausible therapies, ultimately enhance patient care and quality of life.
DISCUSSION.
Although many studies have suggested interdependence between airway and digestive diseases, the causative factors and specific mechanisms remain unclear. The detection of the disease is further complicated by the invasiveness of conventional GERD diagnosis procedures and the limited availability of disease-specific biomarkers. The management of reflux is important, as it directly increases risk of cancer and negatively impacts quality of life. Therefore, it is vital to develop novel noninvasive disease markers that can effectively phenotype, facilitate early diagnosis of premalignant disease and identify potential therapeutic targets to improve patient care.
TRIAL REGISTRATION:
ClinicalTrials.gov Identifier: NCT05216133; January 18, 2022.
Carthamidin-mediated silver nanoparticles synthesis, characterization and anticancer activity-Invitro Approach
Authors: Joseph John , Kumar Selva , Krishnan Muthukumar , Chandrasekaran Rajkuberan 
Published: May 2024

Abstract

The synthesis of silver nanoparticles from biological sources is been fascinated by the research fraternities owing to the distinctive feature of non-toxicity and benign synthesis methodologies. In this pipeline, we have synthesized silver nanoparticles (AgNPs) from flavonoid Carthamidin (CT) pigment. The yellow colored water soluble pigment reduces the silver nitrate into silver ions in a simple one pot method. The CTAgNPs were exclusively characterized by UV-Vis spectroscopy, X-ray Diffraction (XRD), Transmision Electron Microscopy (TEM), Scanning Electron Microscopy (SEM) and Energy Dispersive Analysis Spectroscopy (EDAX). The characterization techniques infer that CTAgNPs are spherical in shape with an average size of 59nm and face centered cubic with crystalline lattice. The CTAgNPs evaluated as a cytotoxic agent in the MCF 7 cells and molecularly annotated the CTAgNPs apoptosis induction by AO/EB staining, Reactive Oxygen Species (ROS) assay, quantification of lactate Dehydrogenase (LDH) and arresting of cell cycle by flow cytometry. Finally, the CTAgNPs possess a remarkable cytotoxicity in the MCF 7 cells and induce the apoptosis mechanism. Henceforth, CTAgNPs can be promulgated as a nanodrug for the treatment of breast cancer therapy.