bluuebunny/crossref_metadata_2025 huggingface dataset:
An Investigation of the Relationship between Henoch-Schönlein Purpura and Viral Infection in Korea Using the Health Insurance Database
Authors: Park So Hyeon , Jo Su Min , Kim Sang Won , Lee Jae Min , Baek Hee Sun
Published: February 2024

(1) Background: This study investigated the epidemiology and viral connections of Henoch–Schönlein purpura (HSP) using information from the Korea Disease Control and Prevention Agency and the Health Insurance Review and Assessment database. (2) Method: Between 2016 and 2019, a total of 25,443 patients with HSP were identified, with 51.3% of patients under the age of 20 years and the highest incidence in March. (3) Results: The autoregressive integrated moving average model and Granger causality test were used to analyze the association between the virus positivity detection rate and HSP incidence. (4) Conclusions: The incidence of HSP was associated with rotavirus, bocavirus, parainfluenza virus, and respiratory syncytial virus in individuals under 20 years of age, whereas adenovirus, respiratory syncytial virus, and norovirus were associated with individuals above that age.
Simultaneous Evaluation of Bone Cut and Implant Placement Accuracy in Robotic-Assisted Total Knee Arthroplasty
Authors: Cosendey Killian , Stanovici Julien , Cadas Hugues , Omoumi Patrick , Jolles Brigitte M. , Favre Julien
Published: February 2024

Background: This study aimed to evaluate the accuracy of bone cuts and implant placements, simultaneously, for total knee arthroplasty (TKA) performed using a system with an active robotic arm. Methods: Two experienced orthopaedic surgeons performed TKA on ten cadaveric legs. Computed tomography scans were performed to compare the bone cuts and implant placements with the preoperative planning. The differences between the planned and actual bone cuts and implant placements were assessed using positional and angular errors in the three anatomical planes. Additionally, the cut–implant deviations were calculated. Statistical analysis was performed to detect systematic errors in the bone cuts and implant placements and to quantify the correlations between these errors. Results: The root-mean-square (RMS) errors of the bone cuts (with respect to the planning) were between 0.7–1.5 mm and 0.6–1.7°. The RMS implant placement errors (with respect to the planning) varied between 0.6–1.6 mm and 0.4–1.5°, except for the femur and tibia in the sagittal plane (2.9°). Systematic errors in the bone cuts and implant placements were observed, respectively, in three and two degrees of freedom. For cut–implant deviations, the RMS values ranged between 0.3–2.0 mm and 0.6–1.9°. The bone cut and implant placement errors were significantly correlated in eight degrees-of-freedom (ρ ≥ 0.67, p < 0.05). Conclusions: With most of the errors below 2 mm or 2°, this study supported the value of active robotic TKA in achieving accurate bone cuts and implant placements. The findings also highlighted the need for both accurate bone cuts and proper implantation technique to achieve accurate implant placements.
Clinical Features and Outcomes of Patients with Idiopathic Inflammatory Myositis-Associated Interstitial Lung Disease in Rural Appalachia: A Cross-Sectional Study
Authors: Deepak Vishal , Buragamadagu Bhanusowmya , Rida Ul Jannat Fnu , Salyer Rachel , Landis Ty , Kaur Sayanika , Balakrishnan Bathmapriya
Published: February 2024

Background: Idiopathic inflammatory myopathies (IIMs) are a group of autoimmune disorders often complicated by interstitial lung disease (ILD). The clinical characteristics and outcomes of IIM-associated ILD have been reported variably, but the literature on rural populations is scarce. Methods: A retrospective cross-sectional study was conducted at a rural tertiary academic medical center. Twenty-nine patients met the final inclusion criteria. The primary outcome was to assess the disease state and immunological and radiographic features of IIM-associated ILD. Secondary outcomes included disease progression, ILD exacerbation, mortality rate, and factors associated with poor outcome. Results: Dermatomyositis (n = 15, 51.72%) followed by polymyositis (n = 8, 27.58%) were predominant myopathies. The most common autoantibodies were anti-Jo1 antibodies (n = 11, 37.93%). Indeterminate usual interstitial pneumonitis (41.30%, n = 12) was the most common radiographic pattern followed by non-specific interstitial pneumonia (n = 5, 17.24%). ILD exacerbation (n = 14, 66.66%) and mortality rate (n = 6, 20.69%) were high. Albumin levels were significantly lower in patients who died. Conclusions: The clinical characteristics of patients with IIM-associated ILD in rural Appalachia exhibit notable distinctions, and outcomes are worse compared to other populations. Larger studies are needed to investigate other prognostics factors and longitudinal trends of clinical characteristics and outcomes of IIM-associated ILD in rural populations.
Cognitive Enhancement Strategies for Older Adults: An Evaluation of Different Training Modalities to Improve Executive Function—A Systematic Review and Meta-Analysis
Authors: Rodriguez-Rodríguez Sergi , Canet-Vintró Max , Wee Sang Ouk , Rodríguez-Sanz Jacobo , López-de-Celis Carlos , Oviedo Guillermo R. , Labata-Lezaun Noé , Pérez-Bellmunt Albert
Published: February 2024

(1) Background: The aging population is expected to triple by 2050. Executive functions decline with age, impacting daily tasks, and this is associated with neurodegenerative diseases. Aerobic and resistance exercises positively affect cognitive function in older adults by influencing growth markers. However, the modalities of exercise and the optimal parameters for maximum cognitive benefits remain unclear. (2) Methods: A meta-analysis of randomized clinical trials (RCTs) was conducted. The systematic search was on slowing cognitive decline and performed in the PubMed/MEDLINE and Cochrane Library databases. Articles were included if participants were ≥65 years, healthy, and performing resistance or aerobic exercise, and they were excluded if there was a combination of training and if they have neurological disease or cognitive impairment. (3) Results: The search strategy found a total of 1635 studies. After removing duplicates and assessing the inclusion and exclusion criteria, eight articles were included in the meta-analysis, with a total of 463 healthy older adults analyzed. No significant differences between the intervention groups and the control groups after the aerobic or resistance programs were found. (4) Conclusions: Aerobic exercise interventions improved executive function more than resistance training in older adults, but without statistically significant differences. This can serve as a guide to see, with caution, whether we need a multidisciplinary approach to be more effective in improving the cortical health of older adults.
A Narrative Review on Robotic Surgery as Treatment for Renal Cell Carcinoma with Inferior Vena Cava Thrombus
Authors: Shah Mihir S. , Wang Kerith R. , Shah Yash B. , Ragam Radhika , Simhal Rishabh K. , Ghodoussipour Saum , Djaladat Houman , Mark James R. , Lallas Costas D. , Chandrasekar Thenappan
Published: February 2024

Renal cell carcinoma (RCC) is a common diagnosis, of which a notable portion of patients present with an extension into the venous circulation causing an inferior vena cava (IVC) tumor thrombus. Venous extension has significant implications for staging and subsequent treatment planning, with recommendations for more aggressive surgical removal, although associated surgical morbidity and mortality is relatively increased. The methods for surgical removal of RCC with IVC thrombus remain complex, particularly surrounding the use of robot-assisted surgery. Robot assistance for radical nephrectomy in this context is recently emerging. Thrombus level has important implications for surgical technique and prognosis. Other preoperative considerations may include location, laterality, size, and wall invasion. The urology literature on treatment of such tumors is largely limited to case series and institutional studies that describe the feasibility of various surgical options for these complex tumors. Further understanding of the outcomes and patient-specific risk factors would shed increased light on the optimal treatment for such cases. This narrative review provides a thorough overview on the previously reported use of robot-assisted nephrectomy in RCC with IVC thrombus to inform further studies which may optimize outcomes and guide shared decision-making.
Delayed Meniscus Repair Lowers the Functional Outcome of Primary ACL Reconstruction
Authors: Sadoghi Patrick , Widhalm Harald K. , Fischmeister Martin F. , Leitner Lukas , Leithner Andreas , Fischerauer Stefan F.
Published: February 2024

Background: Our purpose was to evaluate whether the time of intervention and the type of meniscus surgery (repair vs. partial meniscectomy) play a role in managing anterior cruciate ligament (ACL) reconstructions with concurrent meniscus pathologies. Methods: We performed a prospective cohort study which differentiated between early and late ACL reconstructions with a cut-off at 3 months. Patients were re-evaluated after 2 years. Results: Thirty-nine patients received an operation between 2–12 weeks after the injury, and thirty patients received the surgery between 13–28 weeks after trauma. The strongest negative predictive factor of the International Knee Documentation Committee subjective knee form in a hierarchical regression model was older age (ß = −0.49 per year; 95% CI [−0.91; −0.07]; p = 0.022; partial R2 = 0.08)). The strongest positive predictive factor was a higher preoperative Tegner score (ß = 3.6; 95% CI [0.13; 7.1]; p = 0.042; partial R2 = 0.07) and an interaction between meniscus repair surgery and the time of intervention (ß = 27; 95% CI [1.6; 52]; p = 0.037; partial R2 = 0.07), revealing a clinical meaningful difference as to whether meniscus repairs were performed within 12 weeks after trauma or were delayed. There was no difference whether partial meniscectomy was performed early or delayed. Conclusions: Surgical timing plays a crucial role when surgeons opt for a meniscus repair rather than for a meniscectomy.
Application of Shore Sediments Accumulated in Navigation Channel for Restoration of Sandy Beaches around Pärnu City, SW Estonia, Baltic Sea
Authors: Tõnisson Hannes , Männikus Rain , Kont Are , Palginõmm Valdeko , Alari Victor , Suuroja Sten , Vaasma Tiit , Vilumaa Kadri
Published: February 2024

Sandy beaches high in recreation value make up 16% of the over 4000 km long shoreline of Estonia. The shore processes associated with climate change have remarkably accelerated over recent decades. Many sandy shores have suffered from strong erosion, including an excellent former beach at Valgeranna. The jetties, which were built in the 1860s to protect the navigation channel of Port Pärnu from clogging, have prevented natural sediment transport along the coast from south to north. At the same time, the sandy beach in Pärnu is expanding, and part of the sand accumulates with strong storms also in between the jetties, reducing the width of the shipping channel. The channel needs regular dredging, but, so far, the dredged sediment has been taken far away to the open sea and accumulated on the seabed. The current paper addresses the possibilities of using that sand for beach restoration in destructed and eroded areas. An overview of the applied methods and measurements during field studies is given. The results of modelling the processes of wave activity and sediment transport are discussed. The recycling of shore sediments is an important measure in sustainable coastal zone management. Different options and scenarios are analysed in order to find the most reasonable ways to bring sand back onto beaches and stabilize natural processes. Support from the state by working out respective laws and regulations would be motivating as well.
Assessing the Effectiveness of Regional Storm Surge Reduction Strategies and Tank Level Structural Mitigation Measures for Aboveground Storage Tanks
Authors: Ghimire Santosh , Kameshwar Sabarethinam
Published: February 2024

The effectiveness of regional storm surge reduction strategies and tank-level structural mitigation measures in reducing the failure probability of aboveground storage tanks (ASTs) were studied. Given past failures during flood and hurricane events, several studies have developed fragility models for ASTs. However, the suitability of these fragility models for different hurricane hazard scenarios is unknown. Furthermore, to combat climate change and sea level rise, several regional storm surge reduction strategies are being proposed. However, the effectiveness of these strategies in improving the safety of ASTs is also unknown. So, herein, a framework was proposed that facilitates assessing the suitability of fragility models and the quantification of AST failures and their consequences while propagating uncertainties using Monte Carlo simulations. The application of the proposed framework to Cameron, Louisiana, provided several key insights: (1) fragility models that do not model wave loads and dislocation failure are not suitable for the region; (2) a regional risk mitigation strategy was insufficient for lowering future spill volume, repair, and cleanup costs; and (3) considering bottom-plate failure of anchored tanks—a structural risk mitigation measure—would lead to a 47–72% reduction in the consequences of tank failure.
Effect of Sampling Rate in Sea Trial Tests on the Estimation of Hydrodynamic Parameters for a Nonlinear Ship Manoeuvring Model
Authors: Xu Haitong , Pires da Silva P. , Guedes Soares C.
Published: February 2024

This paper explores the impact of sampling rates during sea trials on the estimation of hydrodynamic parameters in a nonlinear manoeuvring model. Sea trials were carried out using an offshore patrol vessel and test data were collected. A nonlinear manoeuvring model is introduced to characterise the ship’s manoeuvring motion, and the truncated least squares support vector machine is employed to estimate nondimensional hydrodynamic coefficients and their corresponding uncertainties using the 25°–25° zigzag test. To assess the influence of the sampling rates, the training set is resampled offline with 14 sampling rates, ranging from 0.2 Hz to 5 Hz, encompassing a rate 10 times the highest frequency component of the signal of interest. The results show that the higher sampling rate can significantly diminish the parameter uncertainty. To obtain a robust estimation of linear and nonlinear hydrodynamic coefficients, the sampling rate should be higher than 10 times the highest frequency component of the signal of interest, and 3–5 Hz is recommended for the case in this paper. The validation is also carried out, which indicates that the proposed truncated least square support vector machine can provide a robust parameter estimation.
A Method for Sound Speed Profile Prediction Based on CNN-BiLSTM-Attention Network
Authors: Wei Zhang , Shaohua Jin , Gang Bian , Yang Cui , Chengyang Peng , Haixing Xia
Published: February 2024

In response to the current challenges in efficiently acquiring sound speed profiles and ensuring their representativeness, considering the need to fully leverage historical sound speed profiles while accounting for their spatiotemporal variability, we introduce a model for sound speed profile prediction based on a CNN-BiLSTM-Attention network, which integrates a convolutional neural network (CNN), a bidirectional long short-term memory network (BiLSTM), and an attention mechanism (AM). The synergy of these components enables the model to extract the spatiotemporal features of sound speed profiles more comprehensively. Utilizing the global ocean Argo grid dataset, the model predicted the sound speed profiles of an experimental zone in the Western Pacific Ocean. In predicting sound speed profiles of a single point, the model achieved a root mean square error (RMSE), relative error (RE), and accuracy (ACC) of 0.72 m/s, 0.029%, and 0.99971, respectively, surpassing comparative models. For regional sound speed profile prediction, the mean RMSE, RE, and ACC of different water layers were 0.919 m/s, −0.016%, and 0.9995, respectively. The experimental outcomes not only confirm the high accuracy of the model, but also highlight its superiority in sound speed profile prediction, particularly as an effective compensatory approach when profile measurements are untimely or contain representational errors.
Systematic Engineering of Saccharomyces cerevisiae for the De Novo Biosynthesis of Genistein and Glycosylation Derivatives
Authors: Wang Yongtong , Xiao Zhiqiang , Zhang Siqi , Tan Xinjia , Zhao Yifei , Liu Juan , Jiang Ning , Shan Yang
Published: February 2024

Isoflavones are predominantly found in legumes and play roles in plant defense and prevention of estrogen-related diseases. Genistein is an important isoflavone backbone with various biological activities. In this paper, we describe how a cell factory that can de novo synthesize genistein was constructed in Saccharomyces cerevisiae. Different combinations of isoflavone synthase, cytochrome P450 reductase, and 2-hydroxyisoflavone dehydratase were tested, followed by pathway multicopy integration, to stably de novo synthesize genistein. The catalytic activity of isoflavone synthase was enhanced by heme supply and an increased intracellular NADPH/NADP+ ratio. Redistribution of the malonyl-CoA flow and balance of metabolic fluxes were achieved by adjusting the fatty acid synthesis pathway, yielding 23.33 mg/L genistein. Finally, isoflavone glycosyltransferases were introduced into S. cerevisiae, and the optimized strain produced 15.80 mg/L of genistin or 10.03 mg/L of genistein-8-C-glucoside. This is the first de novo synthesis of genistein-8-C-glucoside in S. cerevisiae, which is advantageous for the green industrial production of isoflavone compounds.
STRIPAK Dependent and Independent Phosphorylation of the SIN Kinase DBF2 Controls Fruiting Body Development and Cytokinesis during Septation and Ascospore Formation in Sordaria macrospora
Authors: Shariatnasery Maria , Stein Valentina , Teichert Ines , Kück Ulrich
Published: February 2024

The supramolecular striatin-interacting phosphatases and kinases (STRIPAK) complex is highly conserved in eukaryotes and controls diverse developmental processes in fungi. STRIPAK is genetically and physically linked to the Hippo-related septation initiation network (SIN), which signals through a chain of three kinases, including the terminal nuclear Dbf2-related (NDR) family kinase DBF2. Here, we provide evidence for the function of DBF2 during sexual development and vegetative growth of the homothallic ascomycetous model fungus Sordaria macrospora. Using mutants with a deleted dbf2 gene and complemented strains carrying different variants of dbf2, we demonstrate that dbf2 is essential for fruiting body formation, as well as septum formation of vegetative hyphae. Furthermore, we constructed dbf2 mutants carrying phospho-mimetic and phospho-deficient codons for two conserved phosphorylation sites. Growth tests of the phosphorylation mutants showed that coordinated phosphorylation is crucial for controlling vegetative growth rates and maintaining proper septum distances. Finally, we investigated the function of DBF2 by overexpressing the dbf2 gene. The corresponding transformants showed disturbed cytokinesis during ascospore formation. Thus, regulated phosphorylation of DBF2 and precise expression of the dbf2 gene are essential for accurate septation in vegetative hyphae and coordinated cell division during septation and sexual spore formation.
A Review of Medical Thoracoscopy and Its Role in Management of Malignant Pleural Effusion
Authors: Gioia Michael , Arancibia Rosa L.
Published: February 2024

Pleural effusion is the most common disease among all pleural diseases and affects 1.5 million patients per year in the United States. Different interventions can be performed when dealing with pleural effusions. In this review, we present medical thoracoscopy as a minimally invasive procedure with both diagnostic and therapeutic utility in the management of pleural disease. It has a higher diagnostic yield than commonly performed percutaneous procedures (thoracentesis, closed pleural biopsy) and simultaneously offers many of the therapeutic benefits of more invasive procedures, such as video-assisted thoracoscopic surgery, with a lower risk profile. The role of medical thoracoscopy is evolving and will likely continue to expand as more centers start performing the procedure nationwide.
Switching from Nusinersen to Risdiplam: A Croatian Real-World Experience on Effectiveness and Safety
Authors: Belančić Andrej , Strbad Tea , Kučan Štiglić Marta , Vitezić Dinko
Published: February 2024

(1) Background: Data on combination or sequential treatment of spinal muscular atrophy (SMA) with disease-modifying drugs (DMDs) are missing and the latter field is poorly understood. The currently available data of patients on risdiplam previously treated with nusinersen are coming from exploratory research mainly focused on safety. Our aim was to investigate the real-world effectiveness (hypothesising non-inferiority) and safety profile of risdiplam in a paediatric-and-adult nusinersen–risdiplam spinal muscular atrophy switch cohort. (2) Methods: A retrospective and anonymous collection of relevant demographic and clinical data for all Croatian SMA patients switched from nusinersen to risdiplam up to September 2023 (reimbursed by Croatian Health Insurance Fund—CHIF) was performed using the CHIF database and associated reimbursement documentation. Patients were included in effectiveness and safety analysis if they met the following inclusion criteria: (i) risdiplam was reimbursed by the CHIF; (ii) the patient received at least six doses of nusinersen before the switch to risdiplam; (iii) there was no relevant pause between the latter disease-modifying drugs; (iv) availability of all prespecified studied data and parameters. (3) Results: In total, 17 patients met the inclusion criteria (58.9% female; median age 12.75 (3.0–44.5) years). In our ‘switch’ cohort, we demonstrated a non-inferiority of risdiplam to nusinersen in the SMA 1 (+1.0 in CHOP INTEND; p = 0.067), SMA 3p (+0.7 in HFMSE; p = 0.897), and SMA 3a (+0.8 in RHS; p = 0.463) subpopulations, during a one-year follow-up period. There were no reports on respiratory function worsening, feeding worsening, and no lethal events. No new safety concerns were identified, except for the weight gain that arose as a new potential adverse drug reaction ‘signal’ in two patients. (4) Conclusions: We have reported pivotal real-world findings on switching SMA patients from nusinersen to risdiplam and demonstrated its effectiveness (non-inferiority), safety, and tolerability in a heterogenous paediatric-and-adult ‘switch’ cohort; this will further increase the quality and standards of care as well as safety of a notable portion of SMA patients, especially for those who demand the switch from nusinersen to other DMDs for clinical or personal reasons.
Peripheral Arterial Disease in the Context of Acute Coronary Syndrome: A Comprehensive Analysis of Its Influence on Ejection Fraction Deterioration and the Onset of Acute Heart Failure
Authors: Gherasie Flavius-Alexandru , Popescu Mihaela-Roxana , Achim Alexandru , Bartos Daniela
Published: February 2024

Background: Peripheral artery disease is a condition that causes narrowing of the arteries, impairing circulation to the extremities. Globally, it affects millions of people and is more prevalent in older adults and those with diabetes, high blood pressure, or high cholesterol. There is an overlap specific to polyvascular patients, and almost 50% of patients with PAD have coronary artery disease. Compelling evidence reveals a noteworthy association between PAD and major adverse cardiovascular events (MACEs) in individuals experiencing acute coronary syndrome (ACS) but limited knowledge exists regarding the influence of PAD on left ventricular systolic function during ACS. Methods: In a retrospective case–control study, we examined 100 participants who presented with ACS (mean age = 61.03 years, 80 [80%] males). The patients were divided into two groups: the ACS-PAD group (32 subjects, 74% of them with STEMI, 10% with NSTEMI, and 16% with NSTEACS) and the ACS-nonPAD group (68 participants). Results: This study highlighted that PAD negatively impacts patients with non-ST-segment elevation myocardial infarction (NSTEMI). These patients were likely to experience a decline of approximately 19.3% in their left ventricular ejection fraction (LVEF) compared to the ACS-nonPAD group (p = 0.003) and presented a worse clinical status (the PAD group correlated with Killip class IV, p = 0.049). Conclusion: Our analysis indicates that patients diagnosed with NSTEACS and PAD tend to have a higher LVEF of over 55% and a lower HEART score. Patients with PAD tend to have a functionally higher EF but clinically present with more unstable scenarios (pulmonary edema and cardiogenic shock). This is mainly driven by a higher prevalence of HFpEF in the PAD group. Looking closer at the PAD group, they have a higher incidence of comorbidities such as diabetes, hypertension, high cholesterol, CAD, and stroke, as well as being more active smokers.
The Potential Health Benefits of Urban Tree Planting Suggested through Immersive Environments
Authors: Hassall Christopher , Nisbet Michael , Norcliffe Evan , Wang He
Published: February 2024

Disruptive change in urban landscapes, such as large-scale tree planting, is complicated by the different priorities of the wide range of urban stakeholders. Here, we demonstrate an approach to the planning of urban green spaces using virtual reality simulations. We evaluate the health benefits (restorative benefits) and safety concerns of participants using virtual reconstructions of 10 urban parks in Bradford, UK, to simulate changes in woodland cover. Participants experienced each of the 10 parks as immersive environments with each of three scenarios: (i) no trees, (ii) real tree distribution, and (iii) doubling of tree numbers. Participants answered a short questionnaire while in each virtual park to quantify their feelings of safety and the restorative benefit that they thought they would experience. The results show that our VR approach produces reported restorative benefits that are not significantly different from those reported in the physical parks during visits by participants. We then demonstrate that increased tree cover is associated with significant increases in perceived restorative benefit, with some evidence of saturation at higher tree densities. Reductions in tree cover lead to a reduction in reported restorative benefit. We suggest that immersive technologies present a useful tool for the consultation and co-design of urban landscapes.
Exploring the Built Environment Factors Influencing Town Image Using Social Media Data and Deep Learning Methods
Authors: Xu Weixing , Zeng Peng , Liu Beibei , Cai Liangwa , Sun Zongyao , Liu Sicheng , Tang Fengliang
Published: February 2024

The representational image of the city has attracted people’s long-term attention. Nevertheless, the mechanism of interaction between the image and the built environment (BE) and image studies at the town scale have not been fully explored. In this study, we collected multi-source data from 26 characteristic towns in Tianjin, China. We explored a deep learning approach to recognize social media data, which led to the development of quantifiable town uniqueness image (UI) variables. We studied the influence of the BE on the town UI and the moderating effects of positive emotions on the relationship between the two. The results showed that positive emotions had significantly positive moderating effects on the water system ratio’s effect on UI, but weakened sidewalk density and tourist attraction density. They also inhibited the negative effects of road connectivity but could strengthen the negative effects of the sky view factor and points of interest (POI) mix. The moderating effects on other variables are relatively mediocre. This study helps to reveal the inner mechanism of BE and town image. It is conducive to accurately coordinating the relationship between planning policies and design strategies, optimizing resource allocation, and promoting sustainable town development.
Resmetirom: Finally, the Light at the End of the NASH Tunnel?
Authors: Lonardo Amedeo
Published: February 2024

Nonalcoholic steatohepatitis (NASH) is a double composite word that was first coined in 1980 by Ludwig and Colleagues [...]
Development of a Space Grease Lubricant with Long-Term-Storage Properties
Authors: Schüler Fabian , Holynska Malgorzata , Henry Théo , Buttery Michael , Meier-Kirchner Katrin , Göhringer Christian
Published: February 2024

Controlled vacuum environments as in space applications represent a challenge for the lubrication of tribological components. In addition to common space lubricant requirements like, e.g., low evaporation, a broad operational temperature range and a high stability during operation, long-term-storage (LTS) properties have gained increasing attention recently. The term addresses the time-dependent stability of a lubricant under static conditions, which can mean chemical degradation processes such as oxidation on the one hand, but also the physical separation of oil and thickener in heterogeneous lubricants like greases. Due to the extended storage periods of lubricated components on-ground but also during a space mission for several years, it has to be ensured that a lubricant is still functional after LTS. This article depicts the development of a space lubricant grease with LTS properties. Firstly, LTS requirements and methods for their assessment are discussed. In the following, a systematic approach towards the design of a grease formulation compatible with LTS is described. Finally, the manufacturing of prototype formulations and their broad characterization by means of LTS behaviour, outgassing, and tribological performance is presented.
Implementation of Grey Wolf, Multi-Verse and Ant Lion Metaheuristic Algorithms for Optimizing Machinability of Dry CNC Turning of Annealed and Hardened UNIMAX® Tool Steel
Authors: Fountas Nikolaos A. , Papantoniou Ioannis , Manolakos Dimitrios E. , Vaxevanidis Nikolaos M.
Published: February 2024

Advances in machining technology and materials science impose the identification of optimal settings for process-related parameters to maintain high quality and process efficiency. Given the available resources, manufacturers should determine an advantageous process parameter range for their settings. In this work, the machinability of a special tool steel (UNIMAX® by Uddeholm, Sweden) under dry CNC turning is investigated. The working material is examined under two states; annealed and hardened. As major machinability indicators, main cutting force Fz (N) and mean surface roughness Ra (μm) were selected and studied under different values for the cutting conditions of cutting speed, feed rate, and depth of cut. A systematic experimental design was established as per the response surface methodology (RSM). The experimental design involved twenty base runs with eight cube points, four center points in the cube, six axial points, and two center points in the axial direction. Corresponding statistical analysis was based on analysis of variance and normal probability plots for residuals. Two regression models referring to main cutting force and surface roughness for both the annealed and hardened states of the material were developed and used as objective functions for subsequent evaluations by three modern meta-heuristics under the goal of machinability optimization, namely multi-objective grey wolf algorithm, multi-objective multi-verse algorithm and multi-objective ant lion algorithm. All algorithms were found capable of providing beneficial Pareto-optimal solutions for both main cutting force and surface roughness simultaneously whilst regression models achieved high correlation among input variables and optimization responses.
Entropy-Based Behavioral Closeness Filtering Chaotic Activity Method
Authors: Li Juan , Fang Xianwen , Zuo Yinkai
Published: February 2024

In the era of big data, one of the key challenges is to discover process models and gain insights into business processes by analyzing event data recorded in information systems. However, Chaotic activity or infrequent behaviors often appear in actual event logs. Process models containing such behaviors are complex, difficult to understand, and hide the relevant key behaviors of the underlying processes. Established studies have generally achieved chaotic activity filtering by filtering infrequent activities or activities with high entropy values and ignoring the behavioral relationships that exist between activities, resulting in effective low-frequency behaviors being filtered. To solve this problem, this paper proposes an entropy-based behavioral closeness filtering of chaotic activities method. Firstly, based on the behavior profile theory of high-frequency logging activities, the process model is constructed by combining the feature network and the module network. Then, the identification of suspected chaotic activity sets is achieved through the Laplace entropy value. Next, a query model is built based on logs containing suspicious chaotic activity. Finally, based on the succession relationship, the behavioral closeness of the query model and the business process model is analyzed to achieve the goal of accurately filtering chaotic activities to retain behaviors beneficial to the process. To evaluate the performance of the method, we validated the effectiveness of the proposed algorithm in synthetic logs and real logs, respectively. Experimental results showed that the proposed method performs better in precision after filtering chaotic activities.
Estimation–Calibration of Continuous-Time Non-Homogeneous Markov Chains with Finite State Space
Authors: Esquível Manuel L. , Krasii Nadezhda P. , Guerreiro Gracinda R.
Published: February 2024

We propose a method for fitting transition intensities to a sufficiently large set of trajectories of a continuous-time non-homogeneous Markov chain with a finite state space. Starting with simulated data computed with Gompertz–Makeham transition intensities, we apply the proposed method to fit piecewise linear intensities and then compare the transition probabilities corresponding to both the Gompertz–Makeham transition intensities and the fitted piecewise linear intensities; the main comparison result is that the order of magnitude of the average fitting error per unit time—chosen as a year—is always less than 1%, thus validating the methodology proposed.
Urban Economic Resilience and Supply Chain Dynamics: Evaluating Monetary Recovery Policies in Global Cities during the Early COVID-19 Pandemic
Authors: Li Jin , Fu Guie , Zhao Xichen
Published: February 2024

The COVID-19 pandemic has profoundly impacted global economies, underscoring the urgency of deriving lessons to enhance future crisis preparedness. This study explores the effects of monetary recovery policies on supply chain dynamics across key global cities during the pandemic’s initial phase, emphasising policy interactions, industry engagement, and economic resilience. Utilising principal component analysis (PCA), data envelopment analysis (DEA), and tobit regression, we present a pioneering method to unravel the complex relationship between economic policies and urban supply chains. PCA simplifies data complexity and reveals complex policy-resilience relationships, while DEA facilitates a comparative efficiency analysis. Our findings underscore the critical importance of supply chain resilience in fostering early economic recovery, indicating that cities implementing diverse, sector-specific policies achieved more notable improvements in gross domestic product (GDP). This research not only advances methodological approaches for policy evaluation but also provides valuable insights for optimising urban economic recovery strategies amidst global challenges.
Multi Objective and Multi-Product Perishable Supply Chain with Vendor-Managed Inventory and IoT-Related Technologies
Authors: Mohammadi Tahereh , Sajadi Seyed Mojtaba , Najafi Seyed Esmaeil , Taghizadeh-Yazdi Mohammadreza
Published: February 2024

With the emergence of the fourth industrial revolution, the use of intelligent technologies in supply chains is becoming increasingly common. The aim of this research is to propose an optimal design for an intelligent supply chain of multiple perishable products under a vendor-managed inventory management policy aided by IoT-related technologies to address the challenges associated with traditional supply chains. Various levels of the intelligent supply chain employ technologies such as Wireless Sensor Networks (WSNs), Radio Frequency Identification (RFID), and Blockchain. In this paper, we develop a bi-objective nonlinear integer mathematical programming model for designing a four-level supply chain consisting of suppliers, manufacturers, retailers, and customers. The model determines the optimal network nodes, production level, product distribution and sales, and optimal choice of technology for each level. The objective functions are total cost and delivery times. The GAMS 24.2.1 optimization software is employed to solve the mathematical model in small dimensions. Considering the NP-Hard nature of the problem, the Grey Wolf Optimizer (GWO) algorithm is employed, and its performance is compared with the Multi-Objective Whale Optimization Algorithm (MOWOA) and NSGA-III. The results indicate that the adoption of these technologies in the supply chain can reduce delivery times and total supply chain costs.
A Self-Adaptive Memetic Algorithm for Distributed Job Shop Scheduling Problem
Authors: Wang Guangchen , Wang Peng , Zhang Honggang
Published: February 2024

Distributed scheduling has become a common manufacturing mode, and the distributed job scheduling problem (DJSP) has attracted more manufacturers and researchers in the field of operation research. For the distributed scheduling problem, it emphasizes the flexibility of factory assignment and determines the sequence of operation related to each machine in related factories. In this paper, a mixed-integer linear programming model for the DJSP is formulated to be optimized by an SMA. Also in this paper, a self-adaptive memetic algorithm (SMA) is proposed to obtain a near-optimal solution in a limited time for the DJSP. To strengthen the effectiveness of the SMA, an independent encoding is designed with jobs assigned to factories and the sequence of operation. In the proposed algorithm, various local search strategies related to the critical path in the critical factory are designed to enhance the quality of the solution. Moreover, the self-adaptive scheme for solution improvement is formulated to reduce the search time and avoid prematurity effectively. To demonstrate the performance of the proposed algorithm, numerical experiments are carried out on 120 different instances extended from the well-known job shop scheduling benchmarks. The proposed SMA has updated 30 instance records in 120 instances and it has obtained the 91 best records in 120 instances. According to the comparison, an SMA is a more effective algorithm that could update several records of benchmarks.
Safety Profile of Monoclonal Antibodies and Subsequent Drug Developments in the Treatment of Paroxysmal Nocturnal Hemoglobinuria
Authors: Mallenahalli Neeekantappa Vasantha , Kamath Ashwin , Bharathi Rajaduraivelpandian Poovizhi
Published: February 2024

Paroxysmal nocturnal hemoglobinuria (PNH) is a clonal stem cell disease characterized by intravascular hemolysis due to the targeting of affected red blood cells by the complement system. Eculizumab and ravulizumab are two monoclonal antibodies that inhibit the complement system’s components and have been shown to significantly improve survival and quality of life. This review describes the role of these monoclonal antibodies in the treatment of PNH with an emphasis on their safety profile. The challenges in the use of these drugs and new drugs in various stages of drug development are also described, which may be helpful in addressing some of these challenges.
Cognitive Impairment following Mild Traumatic Brain Injury (mTBI): A Review
Authors: Mavroudis Ioannis , Ciobica Alin , Bejenariu Andreea Cristina , Dobrin Romeo Petru , Apostu Mihai , Dobrin Irina , Balmus Ioana-Miruna
Published: February 2024

Background: Mild Traumatic Brain Injury (mTBI) has been increasingly recognized as a public health concern due to its prevalence and potential to induce long-term cognitive impairment. We aimed to consolidate this observation by focusing on findings of neuropsychological assessments, neuroimaging, risk factors, and potential strategies for intervention to prevent and treat mTBI-associated cognitive impairments. Methods: A thorough search of PubMed, PsycINFO, and Embase databases was performed for studies published until 2024. Studies focusing on cognitive impairment after mTBI, with neurocognitive assessment as a primary outcome, were included. Results: We found consistent evidence of cognitive deficits, such as memory and attention impairments, and affected executive functions following mTBI. Neuroimaging studies corroborate these findings, highlighting structural and functional changes in the brain. Several risk factors for developing cognitive impairment post-mTBI were identified, including age, gender, genetics, and pre-existing mental health conditions. The efficacy of interventions, including cognitive rehabilitation and pharmaceutical treatment, varied across studies. Conclusions: Mild TBI can lead to significant long-term cognitive impairments, impacting an individual’s quality of life. Further research is necessary to validate and standardize cognitive assessment tools post-mTBI, to elucidate the underlying neural mechanisms, and to optimize therapeutic interventions.
Evaluation of Lower Urinary Tract Symptoms in Males and Urinary Incontinence in Females in Primary Health Care in Greece
Authors: Gkatzoudi Claire , Bouloukaki Izolde , Mamoulakis Charalampos , Lionis Christos , Tsiligianni Ioanna
Published: February 2024

Background and Objectives: The significant prevalence of Lower Urinary Tract Symptoms (LUTS), erectile dysfunction (ED), and associated adverse effects calls for increased attention in primary care settings. In Greece, there is a lack of sufficient data for LUTS and ED screening in primary care. Therefore, the aim of our study was to estimate the prevalence of LUTS and ED, identify associated risk factors, and evaluate their impact on quality of life among adult primary healthcare users aged 40 years and older in Crete, Greece. Materials and Methods: A cross-sectional study was conducted to explore the prevalence of LUTS and ED in 1746 primary health care users visiting rural primary health care practices in Crete, Greece. Participants underwent a comprehensive evaluation including demographic parameters, screening for LUTS utilizing the validated International Prostate Symptoms Score (IPSS) questionnaire and for ED using the International Index of Erectile Function (IIEF-5), in males, and for urinary incontinence in women with the International Consultation on Incontinence Questionnaire–Urinary Incontinence Short Form (ICIQ-UI SF). Participants with a prior diagnosis of LUTS or ED were excluded (n = 183). Results: Out of 536 participants finally included (n = 1746 screened), 32% of males and 36% of females exhibited moderate to severe LUTS. Following adjustments, we identified advanced age, retirement, and the presence of diabetes type 2 as factors associated with the occurrence of LUTS in men. Patients with LUTS also had a substantially increased likelihood of experiencing ED. Moreover, it was observed that women with hypertension or diabetes type 2 and lower education levels face an increased likelihood of developing LUTS, which adversely affects their quality of life. Conclusions: In conclusion, the findings of this study reveal a high occurrence of LUTS and ED in adults aged 40 years and older who utilize primary healthcare services, with a negative impact on their quality of life.
Nephroprotective and Anti-Diabetic Potential of Beta vulgaris L. Root (Beetroot) Methanolic Extract in a Rat Model of Type 2 Diabetes Mellitus
Authors: Al-Harbi Laila Naif , Alshammari Ghedeir M. , Shamlan Ghalia , Binobead Manal Abdulaziz , AlSedairy Sahar Abdulaziz , Al-Nouri Doha M. , Arzoo Shaista , Yahya Mohammed Abdo
Published: February 2024

Background and Objectives: Diabetes mellitus is a chronic metabolic disease associated with several complications, including that of kidney disease. Plant-based dietary products have shown promise in mitigating these effects to improve kidney function and prevent tissue damage. This study assessed the possible favorable effects of beetroot extract (BE) in improving kidney function and preventing tissue damage in diabetic rats. Materials and Methods: Type 2 diabetes mellitus (T2DM) was induced using a low dose of streptozotocin (STZ). Both control and rats with pre-established T2DM were divided into six groups (each consisting of eight rats). All treatments were given by gavage and continued for 12 weeks. Fasting blood glucose levels, serum fasting insulin levels, Homeostatic Model Assessment for Insulin Resistance (HOMA-IR), serum triglycerides, cholesterol, low-density lipoprotein-cholesterol, serum and urinary albumin, and creatinine and urea levels were measured. Apart from this, glutathione, malondialdehyde, superoxide dismutase, tumor necrosis factor-α, and interleukine-6 in the kidney homogenates of all groups of rats were measured, and the histopathological evaluation of the kidney was also performed. Results: It was observed that treatment with BE increased body weight significantly (p ≤ 0.05) to be similar to that of control groups. Fasting glucose, insulin, HOMA-IR levels, and lipid profile in the plasma of the pre-established T2DM rats groups decreased to p ≤ 0.05 in the BE-treated rats as the BE concentration increased. Treatment with BE also improved the renal levels of oxidative stress and inflammatory markers, urinary albumin, and serum creatinine and urea levels. Unlike all other groups, only the kidney tissues of the T2DM + BE (500 mg/kg) rats group showed normal kidney tissue structure, which appears to be similar to those found in the kidney tissues of the control rats groups. Conclusion: we found that streptozotocin administration disturbed markers of kidney dysfunction. However, Beta vulgaris L. root extract reversed these changes through antioxidant, anti-inflammatory, and antiapoptotic mechanisms.