bluuebunny/crossref_metadata_2025 huggingface dataset:
Enhanced Recovery After Surgery Protocols in One- or Two-Level Posterior Lumbar Fusion: Improving Postoperative Outcomes
Authors: Choi Ji Uk , Kee Tae-Hong , Lee Dong-Ho , Hwang Chang Ju , Park Sehan , Cho Jae Hwan
Published: October 2024

Background/Objectives: Enhanced recovery after surgery (ERAS) protocols optimize perioperative care and improve recovery. This study evaluated the effectiveness of ERAS in one- or two-level posterior lumbar fusion surgeries, focusing on perioperative medication use, pain management, and functional outcomes. Methods: Eighty-eight patients undergoing lumbar fusion surgery between March 2021 and February 2022 were allocated into pre-ERAS (n = 41) and post-ERAS (n = 47) groups. Outcomes included opioid and antiemetic consumption, pain scores (numerical rating scale (NRS)), functional recovery (Oswestry Disability Index (ODI) and EuroQol 5 Dimension (EQ-5D)), and complication rates. Pain was assessed daily for the first four postoperative days and at 6 months. Linear Mixed Effects Model analysis evaluated pain trajectories. Results: The post-ERAS group showed significantly lower opioid (p = 0.005) and antiemetic (p < 0.001) use. No significant differences were observed in NRS pain scores in the first 4 postoperative days. At 6 months, the post-ERAS group reported significantly lower leg pain (p = 0.002). The time:group interaction was not significant for back (p = 0.848) or leg (p = 0.503) pain. Functional outcomes at 6 months, particularly ODI and EQ-5D scores, showed significant improvement in the post-ERAS group. Complication rates were lower in the post-ERAS group (4.3% vs. 19.5%, p = 0.024), while hospital stay and fusion rates remained similar. Conclusions: The ERAS protocol significantly reduced opioid and antiemetic use, improved long-term pain management and functional recovery, and lowered complication rates in lumbar fusion patients. These findings support the implementation of ERAS protocols in spinal surgery, emphasizing their role in enhancing postoperative care.
Clinical and Electrocardiographic Predictors of Cardiac Resynchronization Therapy Response That Correlate with the 6 min Walking Test
Authors: Rosu Andrei Mihnea , Badea Theodor Georgian , Tomescu Florentina Luminita , Rosu Andreea Liana , Radu Emanuel Stefan , Popa Oana Andreea , Andrei Liliana Catalina , Sinescu Crina Julieta
Published: October 2024

Background: Cardiac resynchronization therapy is an essential treatment for heart failure patients. Candidates typically have cardiomyopathy accompanied by delayed electrical activation in the left ventricular lateral wall, causing uncoordinated contractions and worsening heart failure. Heart failure severity can be assessed with functional tests: the cardiopulmonary test, which is a maximal exercise test, remains the gold standard, but the 6 min walk test has emerged as an easier, faster, and more comfortable alternative to be used by clinicians to adjust treatment protocols for cardiovascular and pulmonary conditions. Methods: This is a prospective observational study that included 69 patients from a single healthcare facility, and the purpose was to determine if the 6 min walk test results could be associated with changes in various electrocardiographic, clinical, functional, and demographic parameters. All the parameters and the 6 min walk distance were recorded at four key time moments: before the procedure and after 6, 9, and 12 months. The electrocardiographic parameters were obtained from the patients’ electrocardiograms recorded in the four key moments and included variables such as QRS area, duration, percentage of biventricular pacing, and many others, while the functional variables included the monitored intraprocedural systolic blood pressure and the end-systolic left ventricular volume. We also aimed to check if clinical conditions such as diabetes and chronic kidney disease and demographic variables such as age or sex have any impact. Results and Conclusions: All this research was performed in order to identify which parameters hold a predictive value and can serve as future criteria for better patient selection and for defining a proper resynchronization outcome. The study shows that parameters such as diabetes and QRS duration have an impact over the 6 min walk distance. Also, newer variables such as the QRS area and the R/S ratio may represent a direction worth studying in order to predict the outcomes of cardiac resynchronization therapy.
Diagnostic Utility of the “Air Sign” as a Radiological Indicator for Mandibular Body and Angle Fractures
Authors: Michalik Weronika , Kuczera Joanna , Bargiel Jakub , Gąsiorowski Krzysztof , Marecik Tomasz , Szczurowski Paweł , Wyszyńska-Pawelec Grażyna , Gontarz Michał
Published: October 2024

Background: To plan optimal treatment, obtain satisfactory outcomes, and avoid undesirable clinical errors, surgeons need to have efficient tools for providing a complete and prompt diagnosis. The aim of this study was to establish the sensitivity, specificity, positive and negative predictive values, false positive rate, and false negative rate of the “air sign” (AS) within soft tissues as an indirect radiological indicator of mandibular body and angle fractures. Methods: A retrospective analysis of preoperative computed tomography (CT) and cone beam computed tomography (CBCT) scans was performed on patients with mandibular fractures within a three-year period. Two fracture types were analyzed: open and closed fractures. Results: Forty-three patients with a total of 71 mandibular fractures were included in the study. The mean age of the patients was 35 years, and the majority were male (83.7%). The sensitivity of the AS was 92.2%, specificity = 90.0%, positive predictive value = 95.9%, negative predictive value = 81.8%, false positive rate = 10.0%, and false negative rate = 7.8%. Higher values were observed for open fractures compared to closed fractures. Conclusions: The sensitivity and specificity of AS are lower than those of OPG, CT, and CBCT. However, AS offers an important additional radiological indicator that can effectively reduce the risk of misdiagnosing mandibular body and angle fractures.
Allograft Prosthetic Composite (APC) for Proximal Humeral Bone Deficiency in Revision Reverse Shoulder Arthroplasty: A Technical Note and Systematic Review
Authors: Kang Hean Wu , Child Christopher , Italia Kristine , Karel Mirek , Gilliland Luke , Ingoe Helen , Maharaj Jashint , Whitehouse Sarah , Cutbush Kenneth , Gupta Ashish
Published: October 2024

Background: Proximal humeral bone deficiency in revision shoulder arthroplasty is an emerging and challenging problem as the use of reverse shoulder arthroplasty (RSA) increases. This paper presents a technical note discussing our detailed preoperative planning steps, surgical techniques, and their rationale in carrying out the use of an allograft prosthetic composite (APC) to address proximal humeral bone deficiency in revision RSA. The outcomes of this technique are also presented. This paper also presents a systematic review to further discuss the existing literature on RSA with APCs. Methods: The preoperative surgical planning and the surgical technique employed to execute proximal humeral reconstruction using APC during revision arthroplasty are discussed in the technical note. The preliminary clinical and radiological results of five patients who underwent revision shoulder arthroplasty with proximal humeral reconstruction using APCs are presented. The PRISMA guidelines were followed to perform the systematic review. A systematic search using PubMed, Embase, and Cochrane databases was conducted. All studies involving RSA and APCs were pooled, and the data were extracted and analyzed. Results: A total of 14 studies were eligible for inclusion in the systematic review, with a total of 255 patients and a mean follow-up of 57 months. All studies in the systematic review and the patients included in the author’s case series showed improvements in the level of pain, range of motion, function, and satisfaction. Graft incorporation in the systematic review was 84%. Conclusions: Based on the available literature and the results of our case series, the use of an APC construct is a viable option for proximal humeral bone deficiency in revision shoulder arthroplasty.
Texture Analysis in Volumetric Imaging for Dentomaxillofacial Radiology: Transforming Diagnostic Approaches and Future Directions
Authors: Barioni Elaine Dinardi , Lopes Sérgio Lúcio Pereira de Castro , Silvestre Pedro Ribeiro , Yasuda Clarissa Lin , Costa Andre Luiz Ferreira
Published: October 2024

This narrative review explores texture analysis as a valuable technique in dentomaxillofacial diagnosis, providing an advanced method for quantification and characterization of different image modalities. The traditional imaging techniques rely primarily on visual assessment, which may overlook subtle variations in tissue structure. In contrast, texture analysis uses sophisticated algorithms to extract quantitative information from imaging data, thus offering deeper insights into the spatial distribution and relationships of pixel intensities. This process identifies unique “texture signatures”, serving as markers for accurately characterizing tissue changes or pathological processes. The synergy between texture analysis and radiomics allows radiologists to transcend traditional size-based or semantic descriptors, offering a comprehensive understanding of imaging data. This method enhances diagnostic accuracy, particularly for the assessment of oral and maxillofacial pathologies. The integration of texture analysis with radiomics expands the potential for precise tissue characterization by moving beyond the limitations of human eye evaluations. This article reviews the current trends and methodologies in texture analysis within the field of dentomaxillofacial imaging, highlights its practical applications, and discusses future directions for research and dental clinical practice.
“(Un)Being a Mother” Media Representation of Motherhood and Female Identity
Authors: Pezzoli Silvia , Brancato Marina
Published: October 2024

This research examines the portrayal of (non)motherhood in television series from 2016 to 2022. The title, “(Un)being a Mother”, was deliberately chosen for its polysemic nature, facilitating an exploration of the complexities of motherhood, its absence, and the implications for womanhood. The study thematically analyzes 15 television series from Hispanic, Italian, and Anglo-American cultures to reveal the diverse perspectives on motherhood. Utilizing the frameworks of Intensive Mothering, Good Mothering, Good Enough Mothering, and Non-Mothering (including both childless and childfree women), the research aims to illuminate representations of motherhood, variations in mothering paradigms, and the influence of cultural and geographical contexts. This study introduces an innovative methodological approach by investigating recurring themes of (non)motherhood across different cultural productions, incorporating insights from media sociology, gender media studies, anthropology, and ethnographic media research for a comprehensive understanding of the subject.
Digital Newsroom Transformation: A Systematic Review of the Impact of Artificial Intelligence on Journalistic Practices, News Narratives, and Ethical Challenges
Authors: Sonni Alem Febri , Hafied Hasdiyanto , Irwanto Irwanto , Latuheru Rido
Published: October 2024

Artificial Intelligence (AI) fundamentally changes journalism, yet a comprehensive understanding of its impact is limited. This study presents the first systematic review to thoroughly analyze the influence of AI on journalistic practices, news narratives, and emerging ethical challenges. A rigorous analysis of 127 studies selected from 2478 original articles reveals trends in AI adoption in newsrooms, changes in journalists’ roles, innovations in news presentation, and emerging ethical implications. The key findings show a significant increase in the use of AI for news writing automation (73% of news organizations), data analysis (68%), and content personalization (62%). While AI improves efficiency and accuracy, 42% of studies reported concerns about reduced levels of nuance and context in AI-generated news. We also identified the emergence of hybrid “journalist–programmer” roles (52% of studies) and the need for “AI literacy” among journalists (38% of studies). The most prominent ethical challenges include algorithm transparency (82% of studies), data privacy (76%), and accountability relative to AI content (71%). Regional analysis reveals significant gaps in AI adoption, with important implications for global information equity. This review highlights the ongoing transformation in journalism, identifies critical gaps in current research, and offers an agenda for future investigation. Our findings provide valuable insights for media practitioners, policymakers, and researchers seeking to understand and shape the future of journalism in the age of AI.
Efficacy of Second-Line Biological Therapies in Moderate to Severe Ulcerative Colitis Patients with Prior Failure of Anti-Tumor Necrosis Factor Therapy: A Multi-Center Study
Authors: Na Ji-Eun , Park Yong-Eun , Park Jong-Ha , Kim Tae-Oh , Lee Jong-Yoon , Lee Jong-Hoon , Park Su-Bum , Lee Seung-Bum , Hong Seung-Min
Published: October 2024

Background: Few studies have compared the efficacy and safety of second-line biological therapies in ulcerative colitis (UC) patients with prior exposure to anti-tumor necrosis factor (TNF) therapy. We aim to compare the efficacy and safety between ustekinumab, vedolizumab, and tofacitinib, a current option as second-line biological therapy with different mechanisms in those patients. Methods: This retrospective multi-center study was conducted across five institutions from 2011 to 2022. We enrolled patients with moderate to severe UC who failed anti-TNF therapy and subsequently received ustekinumab, vedolizumab, or tofacitinib as second-line biological therapy. The outcomes were analyzed for clinical response/remission and endoscopic improvement/remission rates after induction therapy, drug persistency, and adverse events. Results: A total of 70 UC patients were included and grouped into ustekinumab (11 patients), vedolizumab (40 patients), and tofacitinib (19 patients) treatments. The clinical response/remission rates after induction therapy were similar between ustekinumab (90.9/81.8%), vedolizumab (92.5/65.0%), and tofacitinib (94.7/73.7%). There were no significant differences in the endoscopic improvement/remission rates between the three groups: 90.9/18.2% for ustekinumab, 72.5/12.5% for vedolizumab, and 84.2/26.3% for tofacitinib. Drug persistence was similar across the three agents (p = 0.130). Three patients of the tofacitinib group experienced adverse events (herpes zoster and hypertriglyceridemia). Conclusions: Based on real-world data, second-line biological therapy with ustekinumab, vedolizumab, and tofacitinib showed comparable efficacy in patients with moderate to severe UC with prior exposure to anti-TNF therapy.
Associations of Amino Acids with the Risk of Prediabetes: A Case-Control Study from Kazakhstan
Authors: Nurtazina Alma , Voitsekhovskiy Ivan , Kanapiyanov Bakyt , Toishimanov Maxat , Dautov Daulet , Karibayev Kairat , Smail Yerbol , Kozhakhmetova Dana , Dyussupov Altay
Published: October 2024

Background: The high global prevalence of prediabetes requires its early identification. Amino acids (AAs) have emerged as potential predictors of prediabetes. This study investigates the association between amino acids and prediabetes in the Kazakh population. Materials and Methods: In this case-control study, serum AAs levels were measured using the Trace GC 1310 gas chromatography system coupled with the TSQ 8000 triple quadrupole mass spectrometer (Thermo Scientific, Austin, TX, USA) followed by silylation with the BSTFA + 1% TMCS derivatization method. Biochemical parameters, including total cholesterol, HDL-C, LDL-C, triglycerides, fasting glucose, HbA1c, and Creatinine, were assessed for each participant. Trained professionals conducted anthropometric and physical examinations (which included taking blood pressure and heart rate measurements) and family history collection. Results: A total of 112 Kazakh individuals with prediabetes and 55 without prediabetes, aged 36–65 years, were included in the study. Only Alanine and valine showed a significant association with prediabetes risk among the 13 AAs analyzed. Our findings revealed an inverse relationship between Alanine and Valine and prediabetes in individuals of Kazakh ethnicity. Conclusion: A lower serum level of Alanine and Valine may serve as a predictive biomarker for prediabetes in the Kazakh population.
Dynamic Spillovers from US (Un)Conventional Monetary Policy to African Equity Markets: A Time-Varying Parameter Frequency Connectedness and Wavelet Coherence Analysis
Authors: Phiri Andrew , Anyikwa Izunna
Published: October 2024

Since the implementation of unconventional monetary policies (UMPs) by the US in response to the global financial crisis (GFC) and the COVID-19 pandemic, there have been increasing concerns that these forward guidance and quantitative easing programmes have had spillover effects on global equity markets. We specifically question whether the implementation of these UMPs have had spillovers to African equities, which have been previously speculated to be decoupled from global markets and shocks. Time-varying-parameter (TVP) frequency connectedness and wavelet coherency methods were used to examine the dynamic time-frequency spillovers between daily time series of the US shadow short rate and African equities returns/volatility between 1 January 2007 and 31 March 2023. On one hand, the TVP frequency connectedness analysis reveals robust long-run spillovers from US monetary policy to African equity markets during specific periods: 2009, 2013, 2020, and 2021. These coincide with instances when the Federal Reserve announced their transition from conventional to unconventional monetary practices and vice versa. On the other hand, the wavelet analysis provides insights into the ‘sign’ of the spillovers, indicating mixed phase dynamics during UMPs responding to the GFC. In contrast, anti-phase or negative co-movements characterize UMPs implemented during the COVID-19 pandemic, implying that these policies increased both returns and volatilities to African equities. Altogether, we conclude that US UMP has increasing deteriorated market efficiency and amplified portfolio risk in African equities whilst during ‘normalization’ periods US monetary policy has little transmission effect.
Forecasting Orange Juice Futures: LSTM, ConvLSTM, and Traditional Models Across Trading Horizons
Authors: Ampountolas Apostolos
Published: October 2024

This study evaluated the forecasting accuracy of various models over 5-day and 10-day trading horizons to predict the prices of orange juice futures (OJ = F). The analysis included traditional models like Autoregressive Integrated Moving Average (ARIMA) and advanced neural network models such as Long Short-Term Memory (LSTM), Recurrent Neural Network (RNN), Backpropagation Neural Network (BPNN), Support Vector Regression (SVR), and Convolutional Long Short-Term Memory (ConvLSTM), incorporating factors like the Commodities Index and the S&P500 Index. We employed loss function metrics and various tests to assess model performance. The results indicated that for the 5-day horizon, the LSTM and ConvLSTM consistently outperformed the other models. LSTM achieved the lowest error rates and demonstrated superior capability in capturing temporal dependencies, especially in single-factor and S&P500 Index predictions. ConvLSTM also performed strongly, effectively modeling spatial and temporal data patterns. In the 10-day horizon, similar trends were observed. LSTM and ConvLSTM models had significantly lower errors and better alignment with actual values. The BPNN model performed well when all factors were included, and the SVR model maintained consistent accuracy, particularly for single-factor predictions. The Diebold–Mariano (DM) test indicated significant differences in forecasting accuracy, favoring advanced neural network models. In addition, incorporating multiple influencing factors further improved predictive performance, enhancing investment outcomes and reducing risk.
The Effect of Transition to Close-to-Nature Forestry on Growing Stock, Wood Increment and Harvest Possibilities of Forests in Slovakia
Authors: Štěrbová Martina , Barka Ivan , Kulla Ladislav , Roessiger Joerg
Published: October 2024

The aim of the study is to quantify the impacts of a possible transition to close-to-nature forestry in Slovakia and to compare the expected development of the total volume production, growing stock, merchantable wood increment and harvesting possibilities of forests in Slovakia with current conventional management using the FCarbon forest-growth model and available data from the Information System of Forest Management. The subject of the study was all forest stands available for wood supply (FAWS). The simulations were run in annual iterations using tree input data aggregated over 10-year-wide age classes. The calculation of wood increments was based on available growth models. In the business-as-usual (BAU) scenario, stock losses were based on the actual intensity of wood harvesting in the reference period 2013–2022. In the scenario of the transition to close-to-nature forest management, the losses were specifically modified from the usual harvesting regime at the beginning, to the target harvesting mode in selective forest at the end of the simulated period. With the modelling method used, a gradual increase in forest stocks occurred in both evaluated scenarios in the monitored period, namely by 10% in the case of BAU and by 23% in the case of close-to-nature forest management until 2050. In absolute mining volume, CTNF is by 5–10% lower than BAU management, with the difference gradually decreasing. The results show that the introduction of close-to-nature forest management will temporarily reduce the supply of wood to the market, but this reduction will not be significant and will be compensated by a higher total volume production, and thus also by increased carbon storage in forests.
A Simulation-Based Prediction of Land Use Change Impacts on Carbon Storage from a Regional Imbalance Perspective: A Case Study of Hunan Province, China
Authors: Zhang Jingyi , Ding Hanqi , Xu Jingkun , Zheng Bohong
Published: October 2024

Land use imbalances are a critical driving factor contributing to regional disparities in carbon storage (CS). As a significant component of China’s Yangtze River Economic Belt, Hunan Province has undergone substantial shifts in land use types, resulting in an uneven distribution of ecosystem CS and sequestration capacity. Therefore, within the framework of the “dual carbon” strategy, examining the effects of land use changes driven by regional resource imbalances on CS holds practical importance for advancing regional sustainable development. This study focuses on Hunan Province, utilizing the PLUS-InVEST model to assess the spatiotemporal evolution of CS under land use changes from 1990 to 2020. Additionally, multiple scenario-based development modes were employed to predict county-level CS. The results indicate the following: (1) From 1990 to 2020, Hunan Province experienced continuous urban expansion, with forest land and cultivated land, which are core ecological land types, being converted into construction land. (2) Over these 30 years, the province’s total CS increased by 2.47 × 108 t, with significant spatial differentiation. High-value zones were concentrated in bands along the province’s borders, while lower values were observed in the central and northern regions. The highest CS values were recorded in forested areas at the province’s periphery, whereas the lowest values were observed in the northern water bodies. (3) The scenario-based predictions revealed notable differences, with the ecological protection scenario demonstrating a substantial carbon sink effect. By prioritizing forest and cultivated land, CS could be maximized. This research provides valuable insights for enhancing CS and optimizing land use structures in regions facing resource imbalances.
Landslide Displacement Prediction Using Kernel Extreme Learning Machine with Harris Hawk Optimization Based on Variational Mode Decomposition
Authors: Wang Chenhui , Lin Gaocong , Zhou Cuiqiong , Guo Wei , Meng Qingjia
Published: October 2024

Displacement deformation prediction is critical for landslide disaster monitoring, as a good landslide displacement prediction system helps reduce property losses and casualties. Landslides in the Three Gorges Reservoir Area (TGRA) are affected by precipitation and fluctuations in reservoir water level, and displacement deformation shows a step-like curve. Landslide displacement in TGRA is related to its geology and is affected by external factors. Hence, this study proposes a novel landslide displacement prediction model based on variational mode decomposition (VMD) and a Harris Hawk optimized kernel extreme learning machine (HHO-KELM). Specifically, VMD decomposes the measured displacement into trend, periodic, and random components. Then, the influencing factors are also decomposed into periodic and random components. The feature data, with periodic and random data, are input into the training set, and the trend, periodic, and random term components are predicted by HHO-KELM, respectively. Finally, the total predicted displacement is calculated by summing the predicted values of the three components. The accuracy and effectiveness of the prediction model are tested on the Shuizhuyuan landslide in the TGRA, with the results demonstrating that the new model provides satisfactory prediction accuracy without complex parameter settings. Therefore, under the premise of VMD effectively decomposing displacement data, combined with the global optimization ability of the HHO heuristic algorithm and the fast-learning ability of KELM, HHO-KELM can be used for displacement prediction of step-like landslides in the TGRA.
Regional Coexistence in the Digital Era: Spatial–Temporal Evolution and Sustainable Strategies of the Coupled System in the Yangtze River Basin, China
Authors: Long Tianxiang , Liu Yuxin , Zhong Qikang
Published: October 2024

Against the backdrop of globalization and ecological civilization, this study aims to analyze the patterns of system coupling coordination development in the Yangtze River Basin under the interacting influences of population growth, ecological conservation, energy utilization, and digital economic development. Using a multisource model, this paper explores the state of coordinated development, spatial–temporal evolution characteristics, and influencing factors in the Yangtze River Basin from 2011 to 2020. The results indicate the following: (1) The overall degree of coupling coordination in the Yangtze River Basin shows better performances in the eastern coastal areas compared to the central and western regions. Over time, the spatial autocorrelation of coupling and coordination increases, exhibiting a significant spatial clustering trend. (2) The Moran’s I index increased from 0.327 to 0.370, with high–high clusters primarily distributed in economically developed coastal provinces, while low–low clusters were observed in remote provinces in the central and western regions, revealing regional development imbalance issues. (3) The driving force analysis shows that green coverage and GDP are the core factors influencing the spatial differentiation of coupling coordinated development. Factors such as the urbanization rate, nighttime light index, and energy consumption had significant impacts in certain years but are generally considered minor factors. The results of this study not only contribute to understanding the dynamic mechanisms of regional coupling and development but also provide a scientific basis for formulating regional coordinated development policies, promoting the achievement of win–win goals of economic growth and ecological civilization in the Yangtze River Basin and similar regions.
Current Trends and Technological Advancements in the Use of Oxalate-Degrading Bacteria as Starters in Fermented Foods—A Review
Authors: Al-Kabe Sajad Hamid , Niamah Alaa Kareem
Published: October 2024

Nephrolithiasis is a medical condition characterized by the existence or development of calculi, commonly referred to as stones within the renal system, and poses significant health challenges. Calcium phosphate and calcium oxalate are the predominant constituents of renal calculi and are introduced into the human body primarily via dietary sources. The presence of oxalates can become particularly problematic when the delicate balance of the normal flora residing within the gastrointestinal tract is disrupted. Within the human gut, species of Oxalobacter, Lactobacillus, and Bifidobacterium coexist in a symbiotic relationship. They play a pivotal role in mitigating the risk of stone formation by modulating certain biochemical pathways and producing specific enzymes that can facilitate the breakdown and degradation of oxalate salts. The probiotic potential exhibited by these bacteria is noteworthy, as it underscores their possible utility in the prevention of nephrolithiasis. Investigating the mechanisms by which these beneficial microorganisms exert their effects could lead to novel therapeutic strategies aimed at reducing the incidence of kidney stones. The implications of utilizing probiotics as a preventive measure against kidney stone formation represent an intriguing frontier in both nephrology and microbiome research, meriting further investigation to unlock their full potential.
Special Issue: “A Wider Look at Pediatric Primary Headaches”
Authors: Raieli Vincenzo , Sciruicchio Vittorio
Published: October 2024

Headaches represent a common and debilitating neurological disorder among the pediatric population [...]
Study on Atomization Mechanism of Oil Injection Lubrication for Rolling Bearing Based on Stratified Method
Authors: Wei Feng , Liu Hongbin , Liu Yongyan
Published: October 2024

The atomization mechanism of lubrication fluid in rolling bearings under high-speed airflow between the rings was investigated. A simulation model of gas–liquid two-phase flow in angular contact ball bearings was developed, and the jet lubrication process between the bearing rings was simulated using FLUENT computational fluid dynamics software (Ansys 19.2). The complex motion boundary conditions of the rolling elements were addressed through a layered approach. We can obtain more accurate boundary layer flow field changes and statistics of the diameter of oil particles in lubricating oil atomization, which lays the foundation for analyzing the law of influence on lubricating oil atomization. The results show that as the number of boundary layer layers increases, the influence of the boundary layer flow field on the lubricating oil is more obvious. The oil particle size is excessively flat, and the concentration of large particles of oil appears to decrease. As the speed increases, the amount of oil in the cavity decreases, but the oil droplets are also fragmented, which intensifies the atomization and reduces the particle diameter. This reduces the Sauter Mean Diameter (SMD), which is not conducive to the lubrication of the bearing. Under different injection pressures, when the injection pressure is large, it is beneficial to the lubrication of the bearing.
Difference in High-Temperature Tribological Performance of Oxide/Ag-MoS2-Based Composites
Authors: Wang Yufei , Shao Xibo , Liu Jianyu , Hu Xinyue , He Xuhui , Deng Guanyu
Published: October 2024

MoS2 has excellent vacuum lubricating performance. However, it is prone to be oxidized in a high-temperature atmospheric environment, leading to the deterioration of its lubricating performance and even serious space accidents. The high-temperature lubricating performance of MoS2-based solid lubricating materials can be improved to some extent by the co-compounding of appropriate oxides and Ag. The tribological properties of several common nano-oxides (ZnO, TiO2, Al2O3, and ZrO2) composited with metal Ag of MoS2-based composites were compared at 450 °C. The results showed that the comprehensive tribological performance of MoS2-TiO2-Ag was the best, an the average friction coefficient of about 0.26, and a wear rate of about 1.2 × 10−5 mm3/Nm, which was 18% and 43% lower than that of MoS2-Ag, respectively. The excellent tribological properties of MoS2-TiO2-Ag composites were attributed to three aspects: Firstly, with the help of the oxidation resistance of TiO2 to MoS2 to some extent and its high ionic potential, its oxidation resistance was improved and its shear strength was reduced to provide low friction. Secondly, relying on the low shear strength and good film-forming tendency of soft metal Ag on the sliding surface, a low shear tribo-film was easily formed on the friction interface, which was helpful for the synergistic lubrication of Ag, MoS2, and TiO2.Thirdly, through the matching of hard TiO2 and soft Ag, the wear resistance and bearing capacity of the composites were improved to some extent. The research results can provide some reference for the selection and design of MoS2-based high-temperature lubricating materials and the enhancement of their tribological properties.
Highly Robust, Pressureless Silver Sinter-Bonding Technology Using PMMA Combustion for Power Semiconductor Applications
Authors: Gu Moses , Nam Hyunjin , Park Sehoon , Shin Minkyung , Choa Sung-Hoon
Published: October 2024

This study presents the development of a highly robust, pressureless, and void-free silver sinter-bonding technology for power semiconductor packaging. A bimodal silver paste containing silver nanoparticles and sub-micron particles was used, with polymethyl methacrylate (PMMA) as an additive to provide additional thermal energy during sintering. This enabled rapid sintering and the formation of a dense, void-free bonding joint. The effects of sintering temperature and PMMA content on shear strength and microstructure were systematically investigated. The results showed that the shear strength increased with rising sintering temperatures, achieving a maximum of 41 MPa at 300 °C, with minimal void formation due to enhanced particle necking facilitated by PMMA combustion. However, at 350 °C, the shear strength decreased to 35 MPa due to cracks and voids at the copper substrate–copper oxide interface caused by thermal expansion mismatch. The optimal PMMA content was found to be 5 wt.%, balancing sufficient thermal energy and void reduction. This pressureless sintering technology demonstrates significant potential for high-reliability applications in power semiconductor modules operating under high-temperature and high-stress conditions.
Optimal Geometry for Focused Ion Beam-Milled Samples for Direct-Pull Micro-Tensile Testing Performed In Situ in a Scanning Electron Microscope
Authors: Yin Daniel B. , Sun Haiping , Misra Amit
Published: October 2024

A thorough procedure was developed to efficiently manufacture dogbone samples using focused ion beam (FIB) milling for micro-tensile testing. A Bruker PI 89 PicoIndenter, Billerica, MA, USA, was used as a case study, although the analysis and results are applicable to other micro-mechanical testing systems capable of mounting a standard, Ø12.7 mm × Ø3.2 mm pin, scanning electron microscopy (SEM) pin stub (Ted Pella, Redding, CA, USA). Nine dogbones were made from an Fe-45Cu alloy additively manufactured using powder-fed laser-directed energy deposition (DED-LB). Testing showed that fracture was confined to the gauge section for all dogbones and that the fracture mode, ductile vs. brittle, was entirely dependent on the grain orientation relative to the loading direction. The analysis showed that the measured plastic strain to failure can vary from >11% (optimal geometry) to <1% (non-optimal geometry) in micro-tensile testing of high-tensile-strength (>1 GPa) metallic materials. Subsequently, a finite element analysis (FEA) was conducted to identify the improved dogbone geometries. A total of ten thousand dogbone geometries were tested, and their dimensions were defined by a set of four adjustable parameters (corner radius, load surface angle, load surface length, and dogbone head length). The gauge width and gauge length were fixed to 4 µm and 10 µm, respectively. Three-dimensional surface plots of the stress concentration as a function of two parameters were used to identify the optimal ranges of parameter values. The addition of maximum width and length constraints, measuring 25 µm and 30 µm, respectively, allowed us to identify an optimal geometry at load surface angles of 30° and 45°. Their respective dimensions (corner radius, load surface length, and dogbone head length) are, in µm, 12, 6, and 7 and 10, 7, and 7. Testing these two optimal geometries with a range of gauge lengths from 4 to 20 µm showed that smaller gauge lengths only slightly reduced the detrimental stress concentration outside the gauge section. However, smaller gauge lengths will notably improve the FIB surface polishing step as tapering is reduced with smaller dogbone lengths.
A Novel and Accurate Algorithm for Solving Fractional Diffusion-Wave Equations
Authors: Bin Jebreen Haifa , Dassios Ioannis
Published: October 2024

The main objective of this work is to apply a novel and accurate algorithm for solving the second-order and fourth-order fractional diffusion-wave equations (FDWEs). First, the desired equation is reduced to the corresponding Volterra integral equation (VIE). Then, the collocation method is applied, for which the Chebyshev cardinal functions (CCFs) have been considered as the bases. In this paper, the CCFs based on a Lobatto grid are introduced and used for the first time to solve these kinds of equations. To this end, the derivative and fractional integral operators are represented in CCFs. The main features of the method are simplicity, compliance with boundary conditions, and good accuracy. An exact analysis to show the convergence of the scheme is presented, and illustrative examples confirm our investigation.
Intuitive Innovation: Unconventional Modeling and Systems Neurology
Authors: Peter Stephan , Ibrahim Bashar
Published: October 2024

This review explores how intuitive processes drive innovation, which we define as novel ideas, inventions, or artistic creations that cannot be logically derived from existing knowledge or sensory data. Although intuitive processes are not yet fully recognized as a formal area of scientific research, this paper examines current approaches to their study and modeling. It highlights the necessity of integrating unconventional modeling methods with neuroscience to gain deeper insights into these processes. Key experimental studies investigating extrasensory abilities—such as remote viewing, precognition, and telepathy—are reviewed, emphasizing their potential relevance to innovation. We propose that combining these unconventional modeling approaches with insights from systems neurology can provide new perspectives on the neural mechanisms underpinning intuition and creativity. This review emphasizes the critical need for further research into intuitive processes to address complex global challenges. It calls for a more open, interdisciplinary approach to scientific inquiry, promoting the exploration of unconventional forms of knowledge generation and their neural correlates.
Metabolite Profiling of Macroalgae: Biosynthesis and Beneficial Biological Properties of Active Compounds
Authors: Carpena Maria , Pereira Cláudia S. G. P. , Silva Aurora , Barciela Paula , Jorge A. Olivia S. , Perez-Vazquez Ana , Pereira Antia G. , Barreira João C. M. , Oliveira M. Beatriz P. P. , Prieto Miguel A.
Published: October 2024

Macroalgae are known as abundant sources of phytochemicals, which offer a plethora of beneficial biological properties. Besides being the most notable classes of compounds found in macroalgae, phlorotannins, bromophenols, and terpenoids comprise some of the most relevant for their biological properties. Phlorotannins, mainly prevalent in brown algae and structurally characterized as complex polyphenolic compounds derived from phloroglucinol units, possess robust antioxidant, anti-inflammatory, antitumor, and cytotoxic activities, modulated by factors such as the degree of polymerization and environmental conditions. Bromophenols, halogenated compounds found in algae and other marine organisms, exhibit significant antioxidant and antiviral properties. Their diverse structures and bromination patterns contribute to their potential as therapeutic and chemical defense agents. Pigments (chemically described as primary terpenoids) play a critical role in light absorption and energy transfer in macroalgae and are divided into three main groups: (i) carotenoids, which are primarily found in brown algae and provide photoprotective and antioxidant benefits; (ii) chlorophylls, known for facilitating the conversion of light into biological energy; and (iii) phycobilins, which are mostly found in red algae and play important roles in light absorption and energy transfer, besides providing remarkable health benefits. Finally, secondary terpenoids, which are particularly abundant in red algae (e.g., the Rhodomelaceae family) are central to cellular interactions and exhibit significant antioxidant, antimicrobial, antidiabetic, and anti-inflammatory properties. This study represents a detailed analysis of the biosynthesis, structural diversity, and biological activities of these macroalgae metabolites, emphasizing their potential biological properties.
Heterologous Expression of Type II PKS Gene Cluster Leads to Diversified Angucyclines in Streptomyces albus J1074
Authors: Zhang Xiaoting , Zhang Falei , Li Chen , Li Jiayi , Xu Xiao , Zhu Tianjiao , Che Qian , Li Deihai , Zhang Guojian
Published: October 2024

Heterologous expression has emerged as an effective strategy in activating Streptomyces cryptic gene clusters or improving yield. Eight compounds were successfully obtained by heterologous expression of the type II PKS gene cluster spi derived from marine Streptomyces sp. HDN155000 in the chassis host Streptomyces albus J1074. The structures with absolute configurations were elucidated using extensive MS and NMR spectroscopic methods, as well as theoretical NMR calculations and electronic circular dichroism (ECD) calculations. Interestingly, compound WS009 Z (2) contains a rare thiomethyl group, angumycinone T (4) has a novel oxo-bridge formed between C12a and C4, and angumycinone X (3) showed cytotoxicity toward K562 and NCI-H446/EP cell lines.
Structural Changes in Copper Slags During Slow Cooling
Authors: Sukurov Bulat , Kvyatkovskiy Sergey , Kozhakhmetov Sultanbek , Semenova Anastassiya , Dyussebekova Maral , Kvyatkovskaya Marina
Published: October 2024

The objects of the study were converter slags from the Balkhash copper plant in their initial state and after heat treatment. Using mineralogical and X-ray phase analysis, scanning electron microscopy (SEM), and electron probe microanalysis (EPMA), it was found that the initial converter slag and its thermally treated samples have identical matrices with almost complete coincidence in mineral and phase compositions. The distinguishing feature is the quantitative ratio of mineral components in the slag mass. Almost all of the iron is oxidized and present in the form of fayalite, magnetite, and magnetite, with other elements (silicon, copper, zinc, and aluminum) incorporated into its lattice. The structure of all slag samples indicates an association of sulfur exclusively with copper. Copper in the slags was identified in both metallic and sulfide forms. Slow cooling of the converter slag after its remelting contributes to the reduction in the sulfide–metal suspension in the volume of the melt and its coarsening. During slow cooling, structural changes occur not only in the main oxide part of the slag but also in the polymetallic globules.
Study on the Microstructure and Performance of the Multi-Field Composite-Assisted Laser Cladding of Nickel-Based Tungsten Carbide Coatings
Authors: Chen Shihui , Wang Hong , Huang Xu , Qin Shuaishuai , Hu Xinxin
Published: October 2024

Improving the hardness and wear resistance of die cutting tools is an important issue in the study of the service life of die cutting equipment. Using laser cladding technology, nickel-based composite coatings with varying BiFeO3 contents were prepared on a 45 steel substrate, because BiFeO3 can have an effect on the dilution rate and microstructure of the sample; morover BiFeO3 is a new type of multiferroic material with certain magneto-electric coupling effects which can be prepared for the study of added magnetic fields. The microstructure and morphology were characterized to determine the optimal BiFeO3 content. Based on the optimal addition of BiFeO3, a comparative analysis was conducted to investigate the effect of different magnetic field strengths under a composite energy field on the microstructure, hardness, and wear resistance of Ni-based WC cladding layers. The results show that the optimal addition of BiFeO3 was 5 wt%. At this concentration, there were no significant porosity defects in the coating, and the dilution rate was appropriate (4.77%). Additionally, the interface bonding strength was also increased. With optimal BiFeO3 addition, stirring with different magnetic field strengths was applied to the cladding layer, and the results show that the aspect ratio of the cladding layer gradually increased with increasing the alternating magnetic field strength. When the magnetic field strength in the composite energy field was 40 mT, the microstructure was fine and uniform, the hardness of the cladding layer reached the highest level, about 925.2 HV1.0, the wear resistance was also the best, the friction coefficient of the cladding layer was about 0.54, and the width of the wear mark was about 0.53 mm.
Dual RNA-Seq Unveils Candidate Key Virulence Genes of Vibrio harveyi at the Early Stage of Infection in Hybrid Grouper (♀ Epinephelus polyphekadion × ♂ E. fuscoguttatus)
Authors: Zeng Yan-Hua , Li Wen , Xu He , Gong Xiao-Xiao , Zhang Yu-Mei , Long Hao , Xie Zhen-Yu
Published: October 2024

Vibrio harveyi is a major bacterial pathogen that causes disease in aquaculture animals worldwide. Although V. harveyi consistently harbors a range of traditional virulence genes, it remains unclear which specific genes are crucial for virulence at different infection stages. Dual RNA-seq is a cutting-edge RNA sequencing technology that is ideal for investigating the gene expression patterns of pathogens within the host, which is highly effective in identifying key virulence genes. In previous artificial infection experiments, we have identified the liver of hybrid grouper (♀ Epinephelus polyphekadion × ♂ E. fuscoguttatus) as the main target organ for pathogenic V. harveyi GDH11385 during the initial infection phase. To further explore the key virulence factors of V. harveyi at the early stage of infection, the liver of the hybrid grouper infected with strain GDH11385 was analyzed here by dual RNA-seq. The transcriptome data were compared with that of in vitro cultured bacteria. The results showed that 326 and 1140 DEGs (differentially expressed genes) were significantly up- and down-regulated, respectively, at 4 h post-infection (hpi). Further pathway enrichment analyses revealed that these up-regulated DEGs in vivo were mainly enriched in siderophore biosynthesis and transport, type VI secretion system (T6SS), flagellar assembly, glycolysis/gluconeogenesis, and ribosome. Notably, all genes involved in the metabolism and utilization of vibrioferrin (a carboxylate class of siderophore produced by Vibrio), and most of the genes within one of three T6SSs, were significantly up-regulated in vivo. This indicates that siderophore-dependent iron competition and T6SS-mediated delivery of virulence factors are vital for the successful colonization of V. harveyi at the early stage of infection. This study provides more precise clues to reveal the virulence mechanism of V. harveyi during the initial phase of infection.