bluuebunny/crossref_metadata_2025 huggingface dataset:
RILP Induces Cholesterol Accumulation in Lysosomes by Inhibiting Endoplasmic Reticulum–Endolysosome Interactions
Authors: Han Yang , Liu Xiaoqing , Xu Liju , Wei Ziheng , Gu Yueting , Ren Yandan , Hua Wenyi , Zhang Yongtao , Liu Xiaoxi , Jiang Cong , Zhuang Ruijuan , Hong Wanjin , Wang Tuanlao
Published: August 2024

Endoplasmic reticulum (ER)–endolysosome interactions regulate cholesterol exchange between the ER and the endolysosome. ER–endolysosome membrane contact sites mediate the ER–endolysosome interaction. VAP-ORP1L (vesicle-associated membrane protein-associated protein- OSBP-related protein 1L) interaction forms the major contact site between the ER and the lysosome, which is regulated by Rab7. RILP (Rab7-interacting lysosomal protein) is the downstream effector of Rab7, but its role in the organelle interaction between the ER and the lysosome is not clear. In this study, we found RILP interacts with ORP1L to competitively inhibit the formation of the VAP–ORP1L contact site. Immunofluorescence microscopy revealed that RILP induces late endosome/lysosome clustering, which reduces the contact of endolysosomes with the ER, interfering with the ER–endolysosome interaction. Further examination demonstrated that over-expression of RILP results in the accumulation of cholesterol in the clustered endolysosomes, which triggers cellular autophagy depending on RILP. Our results suggest that RILP interferes with the ER–endolysosome interaction to inhibit cholesterol flow from the endolysosome to the ER, which feedbacks to trigger autophagy.
Skin Development and Disease: A Molecular Perspective
Authors: Dermitzakis Iasonas , Chatzi Despoina , Kyriakoudi Stella Aikaterini , Evangelidis Nikolaos , Vakirlis Efstratios , Meditskou Soultana , Theotokis Paschalis , Manthou Maria Eleni
Published: August 2024

Skin, the largest organ in the human body, is a crucial protective barrier that plays essential roles in thermoregulation, sensation, and immune defence. This complex organ undergoes intricate processes of development. Skin development initiates during the embryonic stage, orchestrated by molecular cues that control epidermal specification, commitment, stratification, terminal differentiation, and appendage growth. Key signalling pathways are integral in coordinating the development of the epidermis, hair follicles, and sweat glands. The complex interplay among these pathways is vital for the appropriate formation and functionality of the skin. Disruptions in multiple molecular pathways can give rise to a spectrum of skin diseases, from congenital skin disorders to cancers. By delving into the molecular mechanisms implicated in developmental processes, as well as in the pathogenesis of diseases, this narrative review aims to present a comprehensive understanding of these aspects. Such knowledge paves the way for developing innovative targeted therapies and personalised treatment approaches for various skin conditions.
ELIXCYTE®, an Allogenic Adipose-Derived Stem Cell Product, Mitigates Osteoarthritis by Reducing Inflammation and Preventing Cartilage Degradation In Vitro
Authors: Chen Yu-Hsiu , Hung Yi-Pei , Chen Chih-Ying , Chen Yi-Ting , Tsai Tai-Chen , Yang Jui-Jung , Wu Chia-Chun
Published: August 2024

Adipose-derived stem cells (ADSCs) comprise a promising therapy for osteoarthritis (OA). The therapeutic potential of ELIXCYTE®, an allogeneic human ADSC (hADSC) product, was demonstrated in a phase I/II OA clinical trial. However, the exact mechanism underlying such effects is not clear. Moreover, studies suggest that interleukin-11 (IL-11) has anti-inflammatory, tissue-regenerative, and immune-regulatory functions. Our aim was to unravel the mechanism associated with the therapeutic effects of ELIXCYTE® on OA and its relationship with IL-11. We cocultured ELIXCYTE® with normal human articular chondrocytes (NHACs) in synovial fluid obtained from individuals with OA (OA-SF) to investigate its effect on chondrocyte matrix synthesis and degradation and inflammation by assessing gene expression and cytokine levels. NHACs exposed to OA-SF exhibited increased MMP13 expression. However, coculturing ELIXCYTE® with chondrocytes in OA-SF reduced MMP13 expression in chondrocytes and downregulated PTGS2 and FGF2 expression in ELIXCYTE®. ELIXCYTE® treatment elevated anti-inflammatory cytokine (IL-1RA, IL-10, and IL-13) levels, and the reduction in MMP13 was positively correlated with IL-11 concentrations in OA-SF. These findings indicate that IL-11 in OA-SF might serve as a predictive biomarker for the ELIXCYTE® treatment response in OA, emphasizing the therapeutic potential of ELIXCYTE® to mitigate OA progression and provide insights into its immunomodulatory effects.
Nanocomposite Coatings of Pectin and Oxide Zinc Nanoparticles to Increase Papaya Shelf Life
Authors: dos Santos Joelma Saures , Cagnin Caroline , de Freitas Bheatriz Silva Morais , da Silva Richard Marins , de Jesus Glaydson Brasileiro Lopes , Belisário Celso Martins , Egea Mariana Buranelo , de Oliveira Filho Josemar Gonçalves , Plácido Geovana Rocha
Published: August 2024

Nanocomposite coatings functionalized with antimicrobial nanoparticles could be a promising alternative for the postharvest preservation of fruits. This study aimed to develop nanocomposite coatings based on pectin incorporated with zinc oxide (NPZ) nanoparticles to preserve the postharvest quality of papaya fruits. The coatings were prepared using pectin (3%) and NPZ (0%–0.4%). The materials were characterized for water-related properties (water solubility and water vapor permeability) as well as physical, mechanical, morphological, rheological, and structural properties. The coatings were applied to papaya fruits, which were analyzed for weight loss, firmness, titratable acidity, and soluble solids over nine days of storage. Incorporating NPZ (0%–0.4%) did not affect the films’ water solubility and vapor permeability. However, films with NPZ exhibited lower mechanical properties than pure pectin films. Rheological behavior testing indicated that the pectin solution was a Newtonian fluid, whereas pectin solutions with zinc nanoparticles were non-Newtonian fluids. The pectin coating with 0.2% NPZ was the most effective in preserving the postharvest quality of papaya by reducing fruit weight loss and acidity content. Therefore, the developed coatings incorporated with NPZ showed promise for the postharvest preservation of papaya fruits.
Nitriding Treatments in Nickel–Chromium-Based Superalloy INCONEL 718: A Review
Authors: Palma Calabokis Oriana , Nuñez de la Rosa Yamid E. , Ballesteros-Ballesteros Vladimir , Gil González Edward Andrés
Published: August 2024

This literature review focuses on the nitriding treatments of nickel-based superalloy UNS N07718, also called INCONEL 718. This alloy was selected due to the relevance of this alloy in the aerospace and oil and gas industries. The referenced studies reflect a clear trend towards improving superalloys through advanced nitriding processes, highlighting plasma nitriding as one of the most promising techniques to enhance alloy 718 against corrosion and wear. The importance of optimizing nitriding parameters, such as temperature and time, is emphasized to increase wear and corrosion resistance while minimizing adverse effects like delamination or the formation of undesirable phases. Finally, the most appropriate alternatives for future research are recommended.
Is the Medical Oncology Workforce in Canada in Jeopardy? Findings from the Canadian Association of Medical Oncologists’ COVID-19 Impact Survey Series
Authors: Jones Lauren , Colwell Bruce , Hao Desiree , Welch Stephen , Campbell Alexi , Gill Sharlene
Published: August 2024

The COVID-19 (C19) pandemic introduced challenges in all areas of the Canadian healthcare system. Along with adaptations to clinical care environments, there was increasing concern about physician burnout during this time. The Canadian Association of Medical Oncologists (CAMO) has examined the effects of the pandemic on the medical oncology (MO) workforce. A series of four multiple choice web-based surveys distributed to MOs who were identified using the Royal College of Physicians and Surgeons directory and CAMO membership in May 2020 (S1), July 2020 (S2), December 2020 (S3), and March 2022 (S4). Descriptive analyses were performed for each survey, and a Chi-square test (α = 0.05) was used to assess factors associated with planned change in practice in S4. The majority of respondents work in a comprehensive cancer center S1/S2/S3/S4 (87%/86%81%/88%) and have been in practice >10 years (56%/61%/50%/64%). The most commonly reported personal challenges were physical (60%) and mental (60%) wellness. In S4, 47% of MOs reported dissatisfaction with their current work–life balance. In total, 83% reported that their workload has increased since the beginning of C19, and 51% of MOs reported their future career plans have been impacted by C19. In total, 56% of respondents are considering retiring or reducing total working hours in the next 5 years. Since the onset of the C19 pandemic, there are concerns identified with wellness, increasing workload, and job dissatisfaction among MOs, associated with experienced staff who have >10 years in practice. As rates of cancer prevalence rise and treatments become more complex, it is crucial to address the concerns raised in these surveys to ensure that we have a stable MO workforce in the future.
Venous Thromboembolism Risk in Hematological Malignancies Post-Chimeric Antigen Receptor T-Cell (CAR-T) Therapy: A Meta-Analysis of Phase 2 and Phase 3 Clinical Trials
Authors: Chitkara Akshit , Sreenivasan Sushanth , Yin Yue , Rai Maitreyee , Sadashiv Santhosh
Published: August 2024

Chimeric Antigen Receptor T-cell (CAR-T) therapy uses genetically engineered T-cells with specific binding sites. This therapy allows for tumor specificity and durable treatment responses for patients with hematological malignancies. In this review, we study the risk of venous thromboembolism (VTE) associated with CAR-T therapy. We searched the National Institutes of Health library, Cochrane Library Databases, ClinicalTrials.gov database, and medical literature search engines PubMed and Google Scholar for Phase 2 and Phase 3 drug-efficacy and safety trials to determine the aggregate incidence and risk of VTE treated with CAR-T. Of 1127 search results, nine studies were identified and included in our meta-analysis. Of the 1017 patients who received therapy, 805 patients (79.15%) experienced some degree of CRS, and 122 patients (11.9%) experienced severe CRS (higher than grade 3). Only three out of one thousand and seventeen patients were reported to have experienced venous thromboembolism. Our study did not find a statistically significant association between increased VTE incidence (OR = 0.0005, 95% CI [0.0001, 0.0017]) and CRS/ICANS (p < 0.0001). There was a 0.0050 (95% confidence interval [0.0019, 0.0132]) relative risk for VTE. In our study, we did not find a statistically significantly increased risk of developing VTE despite CRS and underlying malignancy, which have been associated with increased risk of VTE.
Monoclonal Gammopathy of Undetermined Significance and Associated Cardiovascular Outcomes in a Hospital Setting—A Fresh Perspective
Authors: Mustafa Ahmad , Wei Chapman , Araji Ghada , Niazi Muhammad Rafay Khan , Grovu Radu , Weinberg Mitchell , Lafferty James
Published: August 2024

There is a paucity of data on the cardiovascular implications of monoclonal gammopathy of undetermined significance, especially among hospitalized patients. Our study aimed to investigate the association between MGUS and cardiovascular outcomes in a hospital setting using the National Inpatient Sample database. MGUS patients were sampled using ICD-10 codes. The patients were stratified into two cohorts based on the presence or absence of MGUS. Comorbidities and cardiovascular outcomes were collected using ICD 10 DM codes. CV outcomes were evaluated before and after 1:1 matching for age, gender, and race. Furthermore, a sensitivity analysis was performed on the matched population, which excluded patients with diabetes mellitus, prior myocardial infarction, chronic kidney disease (stages 3–5), dialysis, hypertension, obesity, metabolic syndrome, cancer, antiplatelets, and oral anticoagulant use and was adjusted for smoking, dyslipidemia, and aspirin use to evaluate the cardiovascular outcomes. MGUS patients had more heart failure, atrial fibrillation, venous thromboembolism, aortic aneurysm, aortic stenosis, aortic regurgitation, mitral stenosis, mitral regurgitation, conduction disorder, cor pulmonale, peripheral vascular disease, and acute myocardial infarction. After matching, MGUS was associated with heart failure, atrial fibrillation, venous thromboembolism, aortic stenosis, mitral regurgitation, conduction disorder, cor pulmonale, and peripheral vascular disease. MGUS was linked to a wide spectrum of cardiovascular diseases in an inpatient setting. Further studies are needed to formulate appropriate recommendations for the screening and management of cardiovascular complications in individuals with MGUS.
Lymph Node Metastasis in Gastrointestinal Carcinomas: A View from a Proteomics Perspective
Authors: Jain Vaishali , Sakhuja Puja , Agarwal Anil Kumar , Sirdeshmukh Ravi , Siraj Fouzia , Gautam Poonam
Published: August 2024

Lymph node metastasis (LNM) is one of the major prognostic factors in human gastrointestinal carcinomas (GICs). The lymph node-positive patients have poorer survival than node-negative patients. LNM is directly associated with the recurrence and poor survival of patients with GICs. The early detection of LNM in patients and designing effective therapies to suppress LNM may significantly impact the survival of these patients. The rapid progress made in proteomic technologies could be successfully applied to identify molecular targets for cancers at high-throughput levels. LC-MS/MS analysis enables the identification of proteins involved in LN metastasis, which can be utilized for diagnostic and therapeutic applications. This review summarizes the studies on LN metastasis in GICs using proteomic approaches to date.
Prognostic Implication of Ventricular Volumetry in Early Brain Computed Tomography after Cardiac Arrest
Authors: Gong Ae Kyung , Oh Sang Hoon , Jang Jinhee , Park Kyu Nam , Kim Han Joon , Lee Ji Young , Youn Chun Song , Lim Jee Yong , Kim Hyo Joon , Bang Hyo Jin
Published: August 2024

Brain swelling after cardiac arrest may affect brain ventricular volume. This study aimed to investigate the prognostic implications of ventricular volume on early thin-slice brain computed tomography (CT) after cardiac arrest. We measured the gray-to-white matter ratio (GWR) and the characteristics and volumes of the lateral, third, and fourth ventricles. The primary outcome was a poor 6-month neurological outcome. Of the 166 patients, 115 had a poor outcome. The fourth ventricle was significantly smaller in the poor outcome group (0.58 cm3 [95% CI, 0.43–0.80]) than in the good outcome group (0.74 cm3 [95% CI, 0.68–0.99], p < 0.001). Ventricular characteristics and other ventricular volumes did not differ between outcome groups. The area under the curve for the fourth ventricular volume was 0.68, comparable to 0.69 for GWR. Lower GWR (<1.09) and lower fourth ventricular volume (<0.41 cm3) predicted poor outcomes with 100% specificity and sensitivities of 8.7% (95% CI, 4.2–15.4) and 20.9% (95% CI, 13.9–29.4), respectively. Combining these measures improved the sensitivity to 25.2% (95% CI, 17.6–34.2). After adjusting for covariates, the fourth ventricular volume was independently associated with neurologic outcome. A marked decrease in fourth ventricular volume, with concomitant hypoattenuation on CT scans, more accurately predicted outcomes.
MyACR: A Point-of-Care Medical Device for Determination of Albumin–Creatinine Ratio (uACR) in Random Urine Samples as a Marker of Nephropathy
Authors: Muhamad Nadda , Youngvises Napaporn , Plengsuriyakarn Tullayakorn , Meesiri Wanchai , Chaijaroenkul Wanna , Na-Bangchang Kesara
Published: August 2024

Chronic kidney disease (CKD) is a progressive condition that affects more than 10% of the world’s population. Monitoring urine albumin-to-creatinine ratio (uACR) has become the gold standard for nephropathy diagnosis and control. The objective of the present study was to develop a simple, accurate, sensitive, and rapid point-of-care test (PoCT) device, MyACR, for uACR measurement, intended for use in community healthcare to screen for the risk and monitor the progress of CKD. Albumin and creatinine concentrations in urine samples were determined using spectrophotometric dye (tetrabromophenol blue)-binding and colorimetric Jaffe assay, respectively. Urine samples were diluted with distilled water (1:80) and mixed separately with albumin and creatinine reaction mixture. The creatinine reaction was incubated at room temperature (25 °C) for 30 min before analysis. Optical density (OD) was measured at the wavelengths of 625 nm (albumin) and 515 nm (creatinine). All calibration curves (0–60 mg/L and 0–2 mg/dL for albumin and creatinine) yielded linear relationships with correlation coefficients (R2) of >0.997. Good accuracy (% deviation of mean value (DMV) ≤ 5.42%) and precision (% coefficients of variation (CV) ≤ 12.69%) were observed from both the intra- and inter-day assays for the determination of albumin and creatinine using MyACR. The limit of quantification (LOQ) of albumin and creatinine in urine samples determined using MyACR and a laboratory spectrophotometer were 5 mg/L and 0.25 mg/dL, respectively, using 37.5 μL urine spiked samples (n = 5). The device was well-applied with clinical samples from 20 CKD patients. The median (range) of %DMV of the central (hospital) laboratory method (immune-based assay) was 3.48 (−17.05 to 21.64)%, with a high correlation coefficient (R2 > 0.98). In conclusion, MyACR showed satisfactory test performance in terms of accuracy, reproducibility, and sensitivity. Cost-effectiveness and improvement in clinical decision making need to be proven in future multisite community and home studies.
Assessing the Predictive Accuracy of the Eaton–Littler Classification in Thumb Carpometacarpal Osteoarthritis: A Comparative Analysis with the Outerbridge Classification in a Cohort of 51 Cases
Authors: Carità Enrico , Donadelli Alberto , Laterza Mara , Rossettini Giacomo , Villafañe Jorge Hugo , Perazzini Pier Giuseppe
Published: August 2024

(1) Background: The objective of this study is to evaluate the predictive value of the Eaton–Littler radiologic classification for thumb carpometacarpal osteoarthritis (CMC OA) relating to intra-articular cartilage damage assessed by the Outerbridge arthroscopic classification. (2) Methods: A total of 51 thumb CMC OA arthroscopies were performed on patients classified as Eaton stages 1, 2, or 3. Post-arthroscopic evaluations of cartilage damage were categorized using the Outerbridge classification. Comparative analyses were conducted between the radiological Eaton stages and the arthroscopic Outerbridge stages. (3) Results: Arthroscopic examination revealed Outerbridge stage 3 and 4 cartilage damage in 26 cases classified as Eaton stage 2 and in 18 cases classified as Eaton stage 3. The detection of severe cartilage damage in patients classified as Eaton stage 2 was unexpected. (4) Conclusions: Arthroscopy demonstrated that many patients with mild radiological degenerative signs exhibited significant cartilage destruction. Although the Eaton classification is widely used for staging thumb CMC OA, it may not accurately reflect the severity of intra-articular damage. The Eaton classification does not reliably predict intra-articular damage in Eaton stage 2 cases.
Micro-Computed Tomography Whole-Block Imaging Reveals Origin and Path of Rectal Cancer Tumor Deposits: A Pilot Study
Authors: Firat Canan , Urganci Nil , Teplov Alexei , Cesmecioglu Emine , Bakoglu Nilay , Vakiani Efsevia , Ntiamoah Peter , Weiser Martin R. , Garcia-Aguilar Julio , Hameed Meera , Yagi Yukako , Shia Jinru
Published: August 2024

In colorectal carcinoma (CRC), tumor deposits (TDs) are described as macroscopic/microscopic nests/nodules in the lymph drainage area discontinuous with the primary mass, without identifiable lymph node (LN) tissue, and not confined to vascular or perineural spaces. A TD is categorized as pN1C only when no bona fide LN metastasis exists. However, there has been an ongoing debate on whether TDs should be counted as LNs. The fact that the origin of TDs is not fully understood adds further uncertainty. This pilot study aims to evaluate whether whole-block imaging by micro-computed tomography (micro-CT WBI) that enables three-dimensional reconstruction of whole-mount (WM) blocks can serve as a tool to assess the origin and path of CRC TDs. We evaluated whole-slide imaging (WSI) and micro-CT WBI of 20 WM blocks from a rectal cancer resection that contained TDs. Each TD was tracked through the contiguous blocks to define their origin and path. Of eleven TDs identified on WSI, six were detected on WBI. Strikingly, six of six TDs trackable through the blocks on WBI revealed an origin from the main tumor. This pilot study provided evidence that micro-CT WBI can serve as an effective tool to evaluate the origin and path of CRC TDs.
The Pivotal Role of Presepsin in Assessing Sepsis-Induced Cholestasis
Authors: Ghenu Maria Iuliana , Dragoș Dorin , Manea Maria Mirabela , Balcangiu-Stroescu Andra-Elena , Ionescu Dorin , Negreanu Lucian , Vlad Adelina
Published: August 2024

Background: The serum levels of presepsin correlate with parameters indicating cholestasis in sepsis; however, the probability and significance of this association remain uncertain. We aimed to ascertain whether infection, as signaled by presepsin levels, is the primary determinant of elevated biliary parameters in sepsis. Methods: A unicenter, retrospective study included 396 COVID-free emergency-admitted patients, in which presepsin level was determined. Presepsin, neutrophil count, leukocyte count, C reactive protein, and fibrinogen evaluated the septic/inflammatory state. The statistically significant factors associated with cholestasis, ALT, and AST were analyzed by Fisher’s exact test and Spearman regression with Bonferroni’s correction. Results: Presepsin emerged as the most likely variable correlated with all cholestasis markers: alkaline phosphatase (p = 7 × 10−8), gamma-glutamyl transferase (p = 5 × 10−10), and conjugated bilirubin (p = 4 × 10−15). Thrombocyte count, C reactive protein, age, creatinine, urea, lactate, and blood pressure, were associated with only one or two of these markers. Conclusions: In a sepsis setting, the increase in cholestasis-related parameters is associated with presepsin with a higher probability than hemodynamic, inflammatory, or coagulation-related variables. Determining this robust link between sepsis and cholestasis could eliminate unnecessary imaging procedures in critically ill patients, enabling clinicians to focus efforts on addressing the primary infectious cause.
Pelvic Exenteration in Advanced, Recurrent or Synchronous Cancers—Last Resort or Therapeutic Option?
Authors: Rotaru Vlad , Chitoran Elena , Zob Daniela-Luminita , Ionescu Sinziana-Octavia , Aisa Gelal , Andra-Delia Prie , Serban Dragos , Stefan Daniela-Cristina , Simion Laurentiu
Published: August 2024

First described some 80 years ago, pelvic exenteration remain controversial interventions with variable results and ever-changing indications. The previous studies are not homogenous and have different inclusion criteria (different populations and different disease characteristics) and methodologies (including evaluation of results), making it extremely difficult to properly assess the role of pelvic exenteration in cancer treatment. This study aims to describe the indications of pelvic exenterations, the main prognostic factors of oncologic results, and the possible complications of the intervention. Methods: For this purpose, we conducted a retrospective study of 132 patients who underwent various forms of pelvic exenterations in the Institute of Oncology “Prof. Dr. Al. Trestioreanu” in Bucharest, Romania, between 2013 and 2022, collecting sociodemographic data, characteristics of patients, information on the disease treated, data about the surgical procedure, complications, additional cancer treatments, and oncologic results. Results: The study cohort consists of gynecological, colorectal, and urinary bladder malignancies (one hundred twenty-seven patients) and five patients with complex fistulas between pelvic organs. An R0 resection was possible in 76.38% of cases, while on the rest, positive margins on resection specimens were observed. The early morbidity was 40.63% and the mortality was 2.72%. Long-term outcomes included an overall survival of 43.7 months and a median recurrence-free survival of 24.3 months. The most important determinants of OS are completeness of resection, the colorectal origin of tumor, and the presence/absence of lymphovascular invasion. Conclusions: Although still associated with high morbidity rates, pelvic exenterations can deliver important improvements in oncological outcomes in the long-term and should be considered on a case-by-case basis. A good selection of patients and an experienced surgical team can facilitate optimal risks/benefits.
Association between Inflammation-Based Prognostic Markers and Mortality in Patients Admitted to Intensive Care Units
Authors: Oh Ah Ran , Ryu Jeong-Am , Lee Seung Joo , Kim Chung Su , Lee Sangmin Maria
Published: August 2024

Background: We compared the prognostic value of the C-reactive protein (CRP)-to-albumin ratio (CAR), neutrophil-to-lymphocyte ratio (NLR), and modified Glasgow prognostic score (mGPS) with the Sequential Organ Failure Assessment (SOFA) score in an intensive care unit (ICUs). Methods: This study used the data of 53,877 adult patients admitted to an ICU between June 2013 and May 2022. Using the CAR, NLR, and mGPS values, as well as the SOFA score from the ICU, we conducted multivariable logistic regression analysis and used the receiver operating characteristic (ROC) curve to compare the predictive value for 28-day and 1-year mortality. Results: A total of 2419 patients (4.5%) died within 28 days, and 6209 (11.5%) patients died within 1 year. After an adjustment, all predictors were found to be independent risk factors for 28-day mortality (odds ratio [OR] 1.31, 95% confidence interval [CI] 1.29–1.33, p < 0.001 for the SOFA score; OR 1.05, 95% CI 1.03–1.07, p < 0.001 for CAR; OR 1.01, 95% CI 1.00–1.02, p < 0.001 for the NLR; and OR 1.19, 95% CI 1.08–1.30, p < 0.001 for the mGPS). This trend persisted for the 1-year mortality. In ROC curve analysis, the CAR showed better predictability than the NLR and mGPS. Furthermore, the predictive power of the CAR was significantly higher than that of the SOFA score for 1-year mortality. Conclusions: The CAR, NLR, and mGPS values at ICU admission were independent risk factors of mortality after ICU admission. The predictive value of CAR was higher than that of the SOFA score for 1-year mortality. CAR assessment at ICU admission may be a feasible predictor of long-term mortality.
Reinforcement-Learning-Based Multi-UAV Cooperative Search for Moving Targets in 3D Scenarios
Authors: Liu Yifei , Li Xiaoshuai , Wang Jian , Wei Feiyu , Yang Junan
Published: August 2024

Most existing multi-UAV collaborative search methods only consider scenarios of two-dimensional path planning or static target search. To be close to the practical scenario, this paper proposes a path planning method based on an action-mask-based multi-agent proximal policy optimization (AM-MAPPO) algorithm for multiple UAVs searching for moving targets in three-dimensional (3D) environments. In particular, a multi-UAV high–low altitude collaborative search architecture is introduced that not only takes into account the extensive detection range of high-altitude UAVs but also leverages the benefit of the superior detection quality of low-altitude UAVs. The optimization objective of the search task is to minimize the uncertainty of the search area while maximizing the number of captured moving targets. The path planning problem for moving target search in a 3D environment is formulated and addressed using the AM-MAPPO algorithm. The proposed method incorporates a state representation mechanism based on field-of-view encoding to handle dynamic changes in neural network input dimensions and develops a rule-based target capture mechanism and an action-mask-based collision avoidance mechanism to enhance the AM-MAPPO algorithm’s convergence speed. Experimental results demonstrate that the proposed algorithm significantly reduces regional uncertainty and increases the number of captured moving targets compared to other deep reinforcement learning methods. Ablation studies further indicate that the proposed action mask mechanism, target capture mechanism, and collision avoidance mechanism of the AM-MAPPO algorithm can improve the algorithm’s effectiveness, target capture capability, and UAVs’ safety, respectively.
Bilateral Matching Method for Business Resources Based on Synergy Effects and Incomplete Data
Authors: Wang Shuhai , Sun Linfu , Yu Yang
Published: August 2024

On the third-party cloud platform, to help enterprises accurately obtain high-quality and valuable business resources from the massive information resources, a bilateral matching method for business resources, based on synergy effects and incomplete data, is proposed. The method first utilizes a k-nearest neighbor imputation algorithm, based on comprehensive similarity, to fill in missing values. Then, it constructs a satisfaction evaluation index system for business resource suppliers and demanders, and the weights of the satisfaction evaluation indices are determined, based on the fuzzy analytic hierarchy process (FAHP) and the entropy weighting method (EWM). On this basis, a bilateral matching model is constructed with the objectives of maximizing the satisfaction of both the supplier and the demander, as well as achieving the synergy effect. Finally, the model is solved using the linear weighting method to obtain the most satisfactory business resources for both supply and demand. The effectiveness of the method is verified through a practical application and comparative experiments.
Revisiting Possibilistic Fuzzy C-Means Clustering Using the Majorization-Minimization Method
Authors: Chen Yuxue , Zhou Shuisheng
Published: August 2024

Possibilistic fuzzy c-means (PFCM) clustering is a kind of hybrid clustering method based on fuzzy c-means (FCM) and possibilistic c-means (PCM), which not only has the stability of FCM but also partly inherits the robustness of PCM. However, as an extension of FCM on the objective function, PFCM tends to find a suboptimal local minimum, which affects its performance. In this paper, we rederive PFCM using the majorization-minimization (MM) method, which is a new derivation approach not seen in other studies. In addition, we propose an effective optimization method to solve the above problem, called MMPFCM. Firstly, by eliminating the variable V∈Rp×c, the original optimization problem is transformed into a simplified model with fewer variables but a proportional term. Therefore, we introduce a new intermediate variable s∈Rc to convert the model with the proportional term into an easily solvable equivalent form. Subsequently, we design an iterative sub-problem using the MM method. The complexity analysis indicates that MMPFCM and PFCM share the same computational complexity. However, MMPFCM requires less memory per iteration. Extensive experiments, including objective function value comparison and clustering performance comparison, demonstrate that MMPFCM converges to a better local minimum compared to PFCM.
Sustainable Primary Cell Banking for Topical Compound Cytotoxicity Assays: Protocol Validation on Novel Biocides and Antifungals for Optimized Burn Wound Care
Authors: Liao Zhifeng , Laurent Nicolas , Hirt-Burri Nathalie , Scaletta Corinne , Abdel-Sayed Philippe , Raffoul Wassim , Luo Shengkang , Krysan Damian , Laurent Alexis , Applegate Lee
Published: August 2024

Thorough biological safety testing of topical therapeutic compounds and antimicrobials is a critical prerequisite for appropriate cutaneous wound care. Increasing pathogen resistance rates to traditional antibiotics and antifungals are driving the development and registration of novel chemical entities. Although they are notably useful for animal testing reduction, the gold standard in vitro cytotoxicity assays in continuous cell lines (HaCaT keratinocytes, 3T3 fibroblasts) may be discussed from a translational relevance standpoint. The aim of this study was thus to establish and validate a sustainable primary cell banking model with a view to performing optimized in vitro cytotoxicity assay development. Primary dermal fibroblasts and adipose-derived stem cell (ASC) types were established from four infant polydactyly sources. A multi-tiered primary cell banking model was then applied to prepare highly sustainable and standardized dermal fibroblast and ASC working cell banks (WCBs), potentially allowing for millions of biological assays to be performed. The obtained cellular materials were then validated for use in cytotoxicity assays through in vitro biosafety testing of topical antiseptics (chlorhexidine, hypochlorous acid) and an antifungal compound (AR-12) of interest for optimized burn wound care. The experimental results confirmed that IC50 values were comparable between cytotoxicity assays, which were performed with cell lines and with primary cells. The results also showed that hypochlorous acid (HOCl) displayed an enhanced toxicological profile as compared to the gold standard chlorhexidine (CLX). Generally, this study demonstrated that highly sustainable primary cell sources may be established and applied for consistent topical compound biological safety assessments with enhanced translational relevance. Overall, the study underscored the safety-oriented interest of functionally benchmarking the products that are applied on burn patient wounds for the global enhancement of burn care quality.
Global Citizenship Education and Its Role in Sustainability at the University Level
Authors: Monzó-Martínez Anna , Ortiz-Cermeño Eva , Martínez-Agut María Pilar
Published: August 2024

The contents linked to the Sustainable Development Goals (SDGs) should be introduced in studies in the field of education. This research analyzes the knowledge of the Sustainable Development Goals (SDGs) and the 2030 Agenda among 477 participants from the University of Murcia and the University of Valencia in the Degree of Primary Education, Social Education, and the Master of Teacher Training in the Faculty of Education. A descriptive–comparative methodology with a quantitative approach was used based on an ad hoc questionnaire. The educational intervention included theoretical–practical modules on the SDGs and citizenship, with academic readings and case studies on the implementation of the SDGs in various sectors, which positively impacted future education professionals who were to be part of their initial training. The results showed significant differences in the knowledge of the SDGs between the experimental group and the control group at the end of the term, especially among the experimental group, which worked on the SDG concepts in the subjects taken. Greater knowledge was also observed among the students with a Social Education degree who took a subject related to this topic.
Design of an Embedded Test Bench for Organic Photovoltaic Module Testing
Authors: Dolara Alberto , Cabrera-Tobar Ana , Ogliari Emanuele , Leva Sonia , Hanne Louise
Published: August 2024

In this article, a multipurpose embedded system for testing organic photovoltaic modules is presented. It is designed to include all the features for real-time monitoring, data acquisition, and power conversion based on a Ćuk converter, providing useful data for scientific investigation of the outdoor operation of organic photovoltaic modules. The embedded system allows both the scan of the I–V curve and the continuous operation of the organic photovoltaic module, such as at its maximum power. Voltage and current at the terminals of the organic photovoltaic module under test and up to four temperatures are continuously measured and stored on a Secure Digital card. The communication interface allows the embedded system to connect with other instruments, such as irradiance sensors, with digital serial output. The embedded system is designed both for laboratory and in-the-field use: it can be powered either by the AC electrical grid or a battery, which can also operate as a backup battery. Galvanic isolation divides the embedded system into the field-side and the logic-side functional sections, providing improved noise immunity and safe operation. The main power distribution system within the embedded system is a +9 V bus; ultra-low-noise linear low dropout regulators provide the +3.3 V and +5 V regulated voltages to supply the analog and digital circuits within the logic-side section, and a flyback converter supplies the field-side section of the board. The proposed embedded solution is validated using an experimental setup built at SolarTechLab, Politecnico di Milano. The experimental results report the feasibility of the proposed embedded system.
High-Efficiency 5G-Band Rectifier with Impedance Dispersion Compensation Network
Authors: Kong Yiyang , Bai Xue , Xu Leijun , Chen Jianfeng
Published: August 2024

This paper proposes a microwave rectifier designed for the popular 5G band, featuring impedance dispersion compensation and a cross-type impedance matching network. The rectifier has an ultra-high power conversion efficiency. The compensation network employs two parallel transmission lines to counteract the nonlinear shift of the diode input impedance caused by frequency variation. Additionally, the cross-over impedance matching network enhances matching and minimizes losses. After rigorous theoretical analysis and simulation, the rectifier is fabricated. Experimental results show significant conversion efficiency in the 5G band (across 4–6.5 GHz). At an input power of 12 dBm, the rectifier achieves more than 60% efficiency between 4.8 and 6.4 GHz and more than 70% between 5.2 and 6.2 GHz, with a peak efficiency of 78.1%. Moreover, the rectifier maintains more than 50% efficiency over a wide input power range of 5 to 14 dBm.
Correction: Yang et al. Maritime Electro-Optical Image Object Matching Based on Improved YOLOv9. Electronics 2024, 13, 2774
Authors: Yang Shiman , Cao Zheng , Liu Ningbo , Sun Yanli , Wang Zhongxun
Published: August 2024

In the original publication [...]
WVETT-Net: A Novel Hybrid Prediction Model for Wireless Network Traffic Based on Variational Mode Decomposition
Authors: Guo Jiayuan , Tang Chaowei , Lu Jingwen , Zou Aobo , Yang Wen
Published: August 2024

Precise prediction of wireless communication network traffic is indispensable in the operational deployment of base station resources and improvement of the user experience. Cellular wireless network traffic has both spatial and temporal characteristics. The existing modeling algorithms have achieved good results in extracting the spatial features, but there are still deficiencies in the extraction models for the time dependencies. To resolve these problems, this paper proposes a novel hybrid neural network prediction model, called WVETT-Net. Firstly, variational mode decomposition (VMD) is used to preprocess network traffic, and the whale optimization algorithm (WOA) is used to select the optimal parameters for VMD. Secondly, the local and global features are extracted from each subsequence by a temporal convolutional network (TCN) and an improved Transformer network with a multi-head ProbSparse self-attention mechanism (Pe-Transformer), respectively. Finally, the extracted feature representation is enhanced by using an efficient channel attention (ECA) mechanism to achieve accurate wireless network traffic predictions. Experimental results on two wireless network traffic datasets show that the proposed model (WVETT-Net) outperforms the traditional single or combined models in wireless network traffic prediction.
Computational and Data-Driven Modeling of Combustion in Reciprocating Engines or Gas Turbines
Authors: Cameretti Maria Cristina , De Robbio Roberta
Published: August 2024

The targets set by the Paris Agreement to limit greenhouse gas emissions and global warming aim to significantly reduce the levels of pollutants emitted in the atmosphere from all sectors, including transportation and land use energy production [...]
Optimal Design of an Interior Permanent Magnet Synchronous Motor for Electric Vehicle Applications Using a Machine Learning-Based Surrogate Model
Authors: Guo Song , Su Xiangdong , Zhao Hang
Published: August 2024

This paper presents an innovative design for an interior permanent magnet synchronous motor (IPMSM), targeting enhanced performance for electric vehicle (EV) applications. The proposed motor features a double V-shaped rotor structure with irregular ferrite magnets embedded in the slots between the permanent magnets. This design significantly enhances torque performance. Furthermore, a machine learning-based surrogate model is developed by integrating fine and coarse mesh data. Optimized using the Non-dominated Sorting Genetic Algorithm II (NSGA-II), this surrogate model effectively reduces computational time compared to traditional finite element analysis (FEA).
Analysis of Fracturing Expansion Law of Shale Reservoir by Supercritical CO2 Fracturing and Mechanism Revealing
Authors: Wang Li , Zheng Aiwei , Lu Wentao , Shen Tong , Wang Weixi , Wei Lai , Chang Zhen , Li Qingchao
Published: August 2024

The rapid expansion of reservoir fractures and the enlargement of the area affected by working fluids can be accomplished solely through fracturing operations of oilfield working fluids in geological reservoirs. Supercritical CO2 is regarded as an ideal medium for shale reservoir fracturing owing to the inherent advantages of environmental friendliness, excellent capacity, and high stability. However, CO2 gas channeling and complex propagation of fractures in shale reservoirs hindered the commercialization of Supercritical CO2 fracturing technology. Herein, a simulation method for Supercritical CO2 fracturing based on cohesive force units is proposed to investigate the crack propagation behavior of CO2 fracturing technology under different construction parameters. Furthermore, the shale fracture propagation mechanism of Supercritical CO2 fracturing fluid is elucidated. The results indicated that the propagation ability of reservoir fractures and Mises stress are influenced by the fracturing fluid viscosity, fracturing azimuth angle, and reservoir conditions (temperature and pressure). An azimuth angle of 30° can achieve a maximum Mises stress of 3.213 × 107 Pa and a crack width of 1.669 × 10−2 m. However, an apparent viscosity of 14 × 10−6 Pa·s results in a crack width of only 2.227 × 10−2 m and a maximum Mises stress of 4.459 × 107 Pa. Additionally, a weaker fracture propagation ability and reduced Mises stress are exhibited at the fracturing fluid injection rate. As a straightforward model to synergistically investigate the fracture propagation behavior of shale reservoirs, this work provides new insights and strategies for the efficient extraction of shale reservoirs.
A Review of Thermal Management and Heat Transfer of Lithium-Ion Batteries
Authors: Xu Liang , Wang Shanyi , Xi Lei , Li Yunlong , Gao Jianmin
Published: August 2024

With the increasing demand for renewable energy worldwide, lithium-ion batteries are a major candidate for the energy shift due to their superior capabilities. However, the heat generated by these batteries during their operation can lead to serious safety issues and even fires and explosions if not managed effectively. Lithium-ion batteries also suffer from significant performance degradation at low temperatures, including reduced power output, a shorter cycle life, and reduced usable capacity. Deploying an effective battery thermal management system (BTMS) is crucial to address these obstacles and maintain stable battery operation within a safe temperature range. In this study, we review recent developments in the thermal management and heat transfer of Li-ion batteries to offer more effective, secure, and cost-effective solutions. We evaluate different technologies in BTMSs, such as air cooling, liquid cooling, phase change materials, heat pipes, external preheating, and internal preheating, discussing their advantages and disadvantages. Through comparative analyses of high-temperature cooling and low-temperature preheating, we highlight the research trends to inspire future researchers. According to the review of the literature, submerged liquid BTMS configurations show the greatest potential as a research focus to enhance thermal regulation in Li-ion batteries. In addition, there is considerable research potential in the innovation of air-based BTMSs, the optimization of liquid-based BTMSs, the coupling of heat pipes with PCMs, the integration of PCMs and liquid-cooled hybrid BTMSs, and the application of machine learning and topology optimization in BTMS design. The application of 3D printing in lithium-ion battery thermal management promises to enhance heat transfer efficiency and system adaptability through the design of innovative materials and structures, thereby improving the battery’s performance and safety.
Justifying and Implementing Concept of Object-Oriented Observers of Thermal State of Rolling Mill Motors
Authors: Voronin Stanislav S. , Radionov Andrey A. , Karandaev Alexander S. , Erdakov Ivan N. , Loginov Boris M. , Khramshin Vadim R.
Published: August 2024

Implementing the IIoT concept in industry involves the development and implementation of online systems monitoring the technical state of electromechanical equipment. This is achieved through the use of digital twins and digital shadows (object state observers). The tasks of mastering new rolling profiles and optimizing plate mill rolling programs require improved methods for calculating equivalent motor currents and torques. Known methods are generally based on calculations using smoothed load diagrams, which are assumed to be identical for the upper and lower main drive (UMD and LMD) rolls. These methods do not consider the differences in actual loads (currents or torques) in steady rolling states. Experiments performed on the 5000 plate mill have shown that due to speed mismatches, the UMD and LMD torques differ three times or more. This causes overheating of the more heavily loaded motor, insulation life reduction, and premature failure. Therefore, the problem of developing and implementing techniques for monitoring the load and thermal regimes of motors using digital observers is relevant. The paper’s contribution is the first justification of the concept of object-oriented digital shadows. They are developed for specific classes of industrial units using open-source software. This research justifies a methodology for assessing motor load and temperature by processing arrays of motor currents or torques generated during rolling. An equivalent load observer and a temperature observer were proposed and implemented using Matlab-Simulink resources. The algorithm was implemented on the mill 5000 and tuned using an earlier-developed virtual commissioning methodology with digital twins. Thermal regimes were studied, proving that torque alignment ensures equal motor temperatures. The proposed considerations contribute to the development of the theory and practice for creating digital systems to monitor the technical condition of electromechanical and mechatronic systems and implementing the Industry 4.0 concept at industrial enterprises.