bluuebunny/crossref_metadata_2025 huggingface dataset:
Development of a Reduced Order Model-Based Workflow for Integrating Computer-Aided Design Editors with Aerodynamics in a Virtual Reality Dashboard: Open Parametric Aircraft Model-1 Testcase
Authors: Lopez Andrea , Biancolini Marco E.
Published: January 2025

In this paper, a workflow for creating advanced aerodynamics design dashboards is proposed. A CAD modeler is directly linked to the CFD simulation results so that the designer can explore in real time, assisted by virtual reality (VR), how shape parameters affect the aerodynamics and choose the optimal combination to optimize performance. In this way, the time required for the conception of a new component can be drastically reduced because, even at the preliminary stage, the designer has all the necessary information to make more thoughtful choices. Thus, this work sets a highly ambitious and innovative goal: to create a smart design dashboard where every shape parameter is directly and in real-time linked to the results of the high-fidelity analyses. The OPAM (Open Parametric Aircraft Model), a simplified model of the Boeing 787, was considered as a case study. CAD parameterization and mesh morphing were combined to generate the design points (DPs), while Reduced Order Models (ROMs) were developed to link the results of the CFD analyses to the chosen parameterization. The ROMs were exported as FMUs (Functional Mockup Units) to be easily managed in any environment. Finally, a VR design dashboard was created in the Unity environment, enabling the interaction with the geometric model in order to observe in a fully immersive and intuitive environment how each shape parameter affects the physics involved. The MetaQuest 3 headset has been selected for these tests. Thus, the use of VR for a design platform represents another innovative aspect of this work.
Magnetic Cobalt and Other Types of Ferrite Nanoparticles: Synthesis Aspects and Novel Strategies for Application in Wastewater Treatment (Review)
Authors: Sukoviene Agne , Ali Saqib , Jagminas Arunas , Ramanavicius Simonas
Published: January 2025

Magnetic ferrite nanoparticles have a broad application in wastewater treatment, and the interest in applying these particles specifically in waste treatment is growing. However, the gap in understanding how ferrite properties that are controllable through synthesis methods affect wastewater treatment efficiency needs to be better explained. In this review, we assess the analysis of the most impactful publications to highlight the controllable ferrite nanoparticles’ properties through the different synthesis methods and their parameters connected to wastewater treatment efficiency. For a long time, ferrite nanoparticles were seen as adsorbents suitable for physically removing pollutants, but recent studies show that these nanostructures could be suitable for UV and visible light-induced photocatalytic decomposition of contaminants.
Osteoblastic Differentiation and Mitigation of the Inflammatory Response in Titanium Alloys Decorated with Oligopeptides
Authors: Álvarez-López Aroa , Tabraue-Rubio Raquel , Daza Rafael , Colchero Luis , Guinea Gustavo V. , Cohen-Solal Martine , Pérez-Rigueiro José , González-Nieto Daniel
Published: January 2025

Under benign conditions, bone tissue can regenerate itself without external intervention. However, this regenerative capacity can be compromised by various factors, most importantly related with the extent of the injury. Critical-sized defects, exceeding the body’s natural healing ability, demand the use of temporary or permanent devices like artificial joints or bone substitutes. While titanium is a widely used material for bone replacement, its integration into the body remains limited. This often leads to the progressive loosening of the implant and the need for revision surgeries, which are technically challenging, are commonly associated with high complication rates, and impose a significant economic burden. To enhance implant osseointegration, numerous studies have focused on the development of surface functionalization techniques to improve the response of the body to the implant. Yet, the challenge of achieving reliable and long-lasting prostheses persists. In this work, we address this challenge by applying a robust and versatile biofunctionalization process followed by the decoration of the material with oligopeptides. We immobilize four different peptides (RGD, CS-1, IKVAV, PHSRN) on R-THAB® functionalized surfaces and find them to be highly stable in the long term. We also find that RGD is the best-performing peptide in in vitro cell cultures, enhancing adhesion, proliferation, and osteogenic differentiation of mesenchymal stem cells. To assess the in vivo effect of RGD-decorated Ti-6Al-4V implants, we develop a calvarial model in murine hosts. We find that the RGD-decoration remains stable for 1 week after the surgical procedure and reduces post-implantation macrophage-related inflammation. These results highlight the potential of peptide decoration on R-THAB® functionalized surfaces to expedite the development of novel metallic biomaterials with enhanced biocompatibility properties, thereby advancing the field of regenerative medicine.
Digital Interventions for the Rehabilitation of First-Episode Psychosis: An Integrated Perspective
Authors: Vignapiano Annarita , Monaco Francesco , Panarello Ernesta , Landi Stefania , Di Gruttola Benedetta , Malvone Raffaele , Martiadis Vassilis , Raffone Fabiola , Marenna Alessandra , Pontillo Maria , Di Stefano Valeria , D’Angelo Martina , Steardo Luca , Corrivetti Giulio
Published: January 2025

Background: The integration of digital health technologies has transformed mental healthcare, particularly for young adults with First-Episode Psychosis (FEP). Digital interventions, such as telepsychiatry and mobile applications, address barriers like social stigma, restricted access to services, and the urgency of timely care. Methods: A systematic literature review was conducted using PubMed and APA PsycINFO. Included studies focused on randomized controlled trials, cohort studies, and open studies of digital interventions for FEP rehabilitation. Exclusion criteria included meta-analyses, reviews, and irrelevant studies. Results: Smartphone applications like Horyzons-Canada facilitated peer support and symptom management, while tools such as My Journey 3 emphasized the need for better user engagement. Digital innovations, including Cognitive Behavioral Therapy for insomnia (CBT-I) and telepsychiatry, demonstrated improvements in recovery and treatment adherence. Discussion: Digital interventions significantly enhance the accessibility and quality of FEP care, supporting functional recovery and patient engagement. Future research should prioritize longitudinal studies, user engagement strategies, and advanced analytics to develop personalized, scalable solutions.
Gonadal Hormone Changes with Aging and Their Impact on Chronic Pain
Authors: Athnaiel Onella , Davidson Nicholas , Mangat Jaskaran , Nasr Ned F. , Knezevic Nebojsa Nick
Published: January 2025

Chronic pain, pain that lasts beyond three months, is a common finding in the elderly. It is often due to musculoskeletal conditions but can be precipitated by other factors as well. While physiological systems decline with aging, chronic pain is influenced by changes in hormone profiles as men and women enter into andropause and menopause, respectively. Research on gonadal hormones is limited, especially when it comes to their relationship with chronic pain. Women tend to experience less pain with aging compared to their premenopausal years, and this is partially explained by the fact that estrogen enhances pain sensitivity and its decline during menopause decreases it. However, hormone replacement therapy (HRT) seems to increase pain tolerance post-menopause. There is some evidence that testosterone plays a protective factor in pain perception. Men on the other hand, have higher pain tolerance as testosterone is considered to be a protective factor. With aging and decreasing testosterone, older men tend to be less tolerant to pain. This paper explores how hormonal changes with aging impact pain perception in both men and women, highlighting several pain conditions influenced by hormones. Although research remains limited, the potential of HRT as a treatment for common pain conditions is examined.
Spray Deposition and Drift as Influenced by Wind Speed and Spray Nozzles from a Remotely Piloted Aerial Application System
Authors: Martin Daniel E. , Perine Jeffrey W. , Grant Shanique , Abi-Akar Farah , Henry Jerri Lynn , Latheef Mohamed A.
Published: January 2025

The phenomenal growth of remotely piloted aerial application systems (RPAASs) in recent years has raised questions about their impact on the off-target movement of plant protection products. The spray droplet spectrum is one of the important determining factors that govern droplet trajectories and off-target movement of pesticide particles. A field study was conducted to compare in-swath and downwind spray deposition on ground samplers from a 20 L RPAAS platform, equipped with three different nozzles, which provided fine, medium, and extra-coarse droplet spectra. A fluorescent dye was used as a tracer to determine spray deposition. Airborne spray droplets were measured at 10 and 20 m downwind. Downwind deposition measured on ground samplers showed that the extra-coarse nozzle received significantly fewer deposits than the medium or the fine nozzle. Similarly, the airborne deposition for the extra-coarse nozzle was significantly less compared to either the fine or the medium nozzle. Linear mixed effects modeling confirmed these results and showed that wind speed served as a covariate by refining the deposition differences among nozzles. Results indicated that spray drift from RPAAS platforms may be mitigated by using appropriate nozzles that produce larger droplet spectra. These results will provide aerial applicators with a better understanding of the best management practices to mitigate drift.
Service-Learning in Environmental Education of Primary Preservice Teachers: Advancing SDGs and Improving Attitudes Towards Sustainable Development
Authors: Diez-Ojeda María , Queiruga-Dios Marián , Queiruga-Dios Miguel
Published: January 2025

This research analyzes the effect of implementing a Service-Learning (SL) program in the Environmental Education (EE) subject of the Primary Education Degree. The SL project was evaluated and the change in Attitudes towards Sustainable Development (ASD) of 44 preservice teachers was measured, considering Environment, Economy, Society, and Education as dimensions, using a pretest-posttest experimental design with no control group. The assessment of the SL project was favorable in all items (the purpose of the project, the training aspects, and the logistical and institutional aspects) and a significant improvement in ASD was observed in all dimensions. No significant differences were found in ASD based on the gender variable. It can be concluded that the inclusion of SL projects in the EE program significantly improves ASD while aligning education with the SDGs.
Knowledge, Attitudes, and Practices of Infection Prevention and Control Nurses in Public Hospitals in the Limpopo Province: A Qualitative Study
Authors: Ranoto Lebitsi Q. , Ntimana Cairo B. , Mamogobo Pamela , Maimela Eric
Published: January 2025

A crucial aspect of delivering healthcare is infection prevention and control (IPC), especially in public hospitals where the high volume of patients and limited resources can heighten the risk of healthcare-associated infections. This qualitative study explores IPC nurses’ knowledge, attitudes, and practices in public hospitals within the Limpopo province of South Africa. The study adopted a qualitative descriptive design. This qualitative study utilized self-developed validated semi-structured interviews with IPC nurses from 12 public hospitals (4 tertiary, 4 regional, and 4 district). The interviews were transcribed verbatim and analysed using thematic analysis to identify key themes related to knowledge, attitudes, and practices in IPC. Each interview lasted approximately 15 to 20 min. Themes and subthemes that emerged provided a structured overview of the key aspects discussed. Each theme captures a different facet of the experiences, perceptions, and challenges faced by IPC nurses in their role. The subthemes further break down these views into specific areas of focus, offering deeper insights into the nurses’ experiences of their professional responsibilities. This study shows that, although IPC nurses have a good understanding of infection control and a positive attitude toward it, systemic problems and resource constraints make it difficult to consistently implement optimal practices. Affective mood, opportunity cost, coherence of the intervention, burden, perceived efficacy, self-efficacy, and ethics are among the major themes that were found. To improve IPC efforts, there is a clear need for more focused training, resources, and managerial support.
Mid- to Long-Term Outcomes of Two-Stage Revision Arthroplasty for Periprosthetic Joint Infection of the Shoulder
Authors: Hayta Ağahan , Akgün Doruk , Do Anh , Dey Hazra Rony-Orijit , Back David Alexander , Demirkiran Nihat Demirhan , Scheibel Markus , Paksoy Alp
Published: January 2025

Background/Objectives: Periprosthetic joint infection (PJI) after shoulder arthroplasty is often treated with a two-stage approach, but the data on the mid- to long-term outcomes remain scarce. This study aimed to evaluate the clinical outcomes of two-stage revision arthroplasty for shoulder PJI with a minimum follow-up of five years. Methods: This retrospective study identified 59 shoulders in 58 patients who underwent the first stage of a two-stage revision arthroplasty for shoulder PJI at our institution between 2007 and 2018. Of these, 29 shoulders in 29 patients (49.2%) did not undergo reimplantation or the patient passed away before reaching five years of follow-up. The remaining 30 shoulders in 29 patients were included in the study. The clinical assessments included the active range of motion, the visual analogue scale (VAS) for pain, the Subjective Shoulder Value (SSV), the Constant Score (CS), and the 12-Item Short Form Survey (SF-12), supplemented by detailed clinical and radiological evaluations. Results: The mean age of the 29 patients was 75.9 ± 10.4 years. The average follow-up duration was 8.3 ± 2.8 years. The most common indications for primary shoulder arthroplasty were primary osteoarthritis (n = 12, 40%) and fractures (n = 12, 40%). At the first stage, nine cases (30%) showed negative cultures, while C. acnes and S. epidermidis were each identified in eight cases (26.7%). Four shoulders (13.3%) experienced recurrent infections. At the follow-up, the mean abduction was 86 ± 48.1°, the mean forward flexion was 97.8 ± 50.1°, the mean external rotation was 20.5 ± 19.9°, and the internal rotation reached the lumbosacral region. The mean VAS pain score was 1.5 ± 2.1, the mean SSV was 51.8 ± 28.4%, the mean CS was 54.6 ± 21.0, and the mean SF-12 was 81.0 ± 16.0. Conclusions: Two-stage revision arthroplasty for shoulder PJI results in satisfactory subjective and objective outcomes, with a low overall reinfection rate. However, the high rates of mortality and failure to reimplant must be carefully considered when managing expectations in this challenging cohort.
Artificial Intelligence and Neuroscience: Transformative Synergies in Brain Research and Clinical Applications
Authors: Onciul Razvan , Tataru Catalina-Ioana , Dumitru Adrian Vasile , Crivoi Carla , Serban Matei , Covache-Busuioc Razvan-Adrian , Radoi Mugurel Petrinel , Toader Corneliu
Published: January 2025

The convergence of Artificial Intelligence (AI) and neuroscience is redefining our understanding of the brain, unlocking new possibilities in research, diagnosis, and therapy. This review explores how AI’s cutting-edge algorithms—ranging from deep learning to neuromorphic computing—are revolutionizing neuroscience by enabling the analysis of complex neural datasets, from neuroimaging and electrophysiology to genomic profiling. These advancements are transforming the early detection of neurological disorders, enhancing brain–computer interfaces, and driving personalized medicine, paving the way for more precise and adaptive treatments. Beyond applications, neuroscience itself has inspired AI innovations, with neural architectures and brain-like processes shaping advances in learning algorithms and explainable models. This bidirectional exchange has fueled breakthroughs such as dynamic connectivity mapping, real-time neural decoding, and closed-loop brain–computer systems that adaptively respond to neural states. However, challenges persist, including issues of data integration, ethical considerations, and the “black-box” nature of many AI systems, underscoring the need for transparent, equitable, and interdisciplinary approaches. By synthesizing the latest breakthroughs and identifying future opportunities, this review charts a path forward for the integration of AI and neuroscience. From harnessing multimodal data to enabling cognitive augmentation, the fusion of these fields is not just transforming brain science, it is reimagining human potential. This partnership promises a future where the mysteries of the brain are unlocked, offering unprecedented advancements in healthcare, technology, and beyond.
Assessing the Predictive Impact of Preoperative Lactate Dehydrogenase to Albumin Ratio on Outcomes Following Coronary Artery Bypass Graft Surgery
Authors: Baris Ozgur , Holat Canbolat , Tosun Mustafa , Yaman Ulviye , Durmaz Aysegul , Canikoglu Mustafa , Omay Oguz , Yavuz Sadan
Published: January 2025

Background: The lactate dehydrogenase to albumin ratio (LAR) is a novel inflammatory marker and a potential predictor of mortality in various conditions. No research has yet examined LAR’s impact on mortality in cardiac surgery patients. This study evaluated LAR’s role in predicting mortality and complications in isolated coronary artery bypass grafting (CABG) patients. Methods: A retrospective analysis of 377 CABG patients (93 women, 24.7%; 284 men, 75.3%; mean age 65.9 years) from 2020 to 2024 was conducted. Data included demographics, preoperative characteristics, surgical details, and postoperative outcomes, along with ICU and hospital length of stay (LOS). Results: In-hospital mortality was 6.1% (n = 23). Independent predictors were low preoperative ejection fraction (EF) (OR: 0.96, p = 0.024), baseline LAR (OR: 1.08, p = 0.000), LOS-ICU (OR: 1.1, p = 0.000), postoperative ventricular tachycardia (OR: 37.9, p = 0.006), and acute renal failure (OR: 12.1, p = 0.000). Mortality cases had a higher median LAR than survivors (8.6 vs. 5.2, p = 0.000). Elevated LAR correlated with lower preoperative EF (r = −0.227, p = 0.000), longer LOS-ICU (r = 0.17, p = 0.001), and longer LOS-hospital (r = 0.208, p = 0.000). A LAR cut-off of 7.097 predicted mortality (AUC: 0.823, sensitivity 78.3%, specificity 77.1%). Elevated LAR values were observed in all groups with postoperative complications (p < 0.05), indicating its consistent association with negative outcomes. Conclusions: LAR is a valuable predictor of in-hospital mortality and postoperative complications in CABG patients. Elevated LAR is associated with longer ICU/hospital stays and poorer outcomes. Preoperative LAR assessment can guide risk stratification, forecast mortality, and inform surgical planning and treatment strategies.
Spectroscopic and Morphological Examination of Co0.9R0.1MoO4 (R = Ho, Yb, Gd) Obtained by Glycine Nitrate Procedure
Authors: Rosić Milena , Milošević Maja , Čebela Maria , Dodevski Vladimir , Lojpur Vesna , Čakar Uroš , Stopic Srecko
Published: January 2025

The glycine nitrate procedure (GNP) is a method that proved to be the easiest and most effective method for controlling the composition and morphology during the synthesis of Co0.9R0.1MoO4 (R = Ho, Yb, Gd). This method of the combustion process achieves control of stoichiometry, homogeneity, and purity. Metal nitrates and glycine were mixed in the appropriate stoichiometric ratios to produce Co0.9R0.1MoO4 (R = Ho, Yb, Gd). The samples obtained by the mentioned method were further subjected to different characterization methods such as differential thermal analyses (DTA), X-ray diffraction (XRD), Fourier transform infrared spectrum (FTIR), spectroscopy, field emission scanning electron microscopy (FESEM), and nitrogen adsorption method. A high level of anisotropy of the shape and size of particles in the form of agglomerates was found. Also, there are noticeable differences in the microstructure and plate crystals. The color of the synthesized sample changes from darker to lighter shades after thermal treatments. There are pronounced changes in the dominant wavelength (nm) and color purity between the initial sample and the sample after heating (1100 °C) due to the concentration of Co.
Summatory Multiplicative Arithmetic Functions: Scaling and Renormalization
Authors: Fel Leonid G.
Published: January 2025

We consider a wide class of summatory functions Ff;N,pm=∑k≤Nfpmk, m∈Z+∪{0} associated with the multiplicative arithmetic functions f of a scaled variable k∈Z+, where p is a prime number. Assuming an asymptotic behavior of the summatory function, F{f;N,1}=N→∞G1(N)1+OG2(N), where G1(N)=Na1logNb1, G2(N)=N−a2logN−b2 and a1,a2≥0, −∞<b1,b2<∞, we calculate the renormalization function Rf;N,pm, defined as a ratio Ff;N,pm/F{f;N,1}, and find its asymptotics R∞f;pm when N→∞. We prove that a renormalization function is multiplicative, i.e., R∞f;∏i=1npimi=∏i=1nR∞f;pimi with n distinct primes pi. We extend these results to the other summatory functions ∑k≤Nf(pmkl), m,l,k∈Z+ and ∑k≤N∏i=1nfikpmi, fi≠fj, mi≠mj. We apply the derived formulas to a large number of basic summatory functions including the Euler ϕ(k) and Dedekind ψ(k) totient functions, divisor σn(k) and prime divisor β(k) functions, the Ramanujan sum Cq(n) and Ramanujan τ Dirichlet series, and others.
Exploring Antibacterial Properties of Marine Sponge-Derived Natural Compounds: A Systematic Review
Authors: Santi Martignago Cintia Cristina , de Souza Barbosa Camila , Garcia Motta Homero , Soares-Silva Beatriz , Maso Lopes Peres Erica Paloma , Souza e Silva Lais Caroline , Bonifácio Mirian , dos Santos Jorge Sousa Karolyne , Sardeli Alqualo Amanda , Parisi Júlia , Jordan Olivier , Muniz Renno Ana Claudia , Aguiar Anna Caroline Campos , Patrulea Viorica
Published: January 2025

The rise in multidrug-resistant (MDR) bacteria has prompted extensive research into antibacterial compounds, as these resistant strains compromise current treatments. This resistance leads to prolonged hospitalization, increased mortality rates, and higher healthcare costs. To address this challenge, the pharmaceutical industry is increasingly exploring natural products, particularly those of marine origin, as promising candidates for antimicrobial drugs. Marine sponges, in particular, are of interest because of their production of secondary metabolites (SM), which serve as chemical defenses against predators and pathogens. These metabolites exhibit a wide range of therapeutic properties, including antibacterial activity. This systematic review examines recent advancements in identifying new sponge-derived compounds with antimicrobial activity, specifically targeting Pseudomonas aeruginosa, a prevalent Gram-negative pathogen with the highest incidence rates in clinical settings. The selection criteria focused on antimicrobial compounds with reported Minimum Inhibitory Concentration (MIC) values. The identified SM include alkaloids, sesterterpenoids, nitrogenous diterpene, and bromotyrosine-derived derivatives. The structural features of the active compounds selected in this review may provide a foundational framework for developing new, highly bioactive antimicrobial agents.
Numerical Simulation of the Influence Mechanism of Melt Rate Variation on the Macrosegregation of 8Cr4Mo4V-Bearing Steel During Vacuum Arc Remelting
Authors: Pan Tao , Zhu Hongchun , Jiang Zhouhua , Li Huabing , He Zhiyu , Ni Zhuowen , Liu Fubin , Feng Hao , Zhang Shucai
Published: January 2025

In this study, 8Cr4Mo4V steel was selected as the research material to develop a numerical model of the macrosegregation phenomenon during vacuum arc remelting (VAR). The accuracy of the model was validated by comparing it with the literature and experimental results. According to the simulation results, molten steel flows down along the solidification front, resulting in positive segregation at the center and negative segregation close to the edge of the ingot. Solute enrichment reduces the undercooling of the alloy system, which in turn decreases the local solidification rate and causes a slight increase in steady-state molten pool depth. Notably, as the molten pool depth increases, the temperature gradient decreases, while the local cooling rate remains nearly constant, which leads to an increase in the local solidification rate again. Consequently, the positive segregation degree at the ingot’s center is gradually alleviated, and the depth of the molten pool gradually decreases. Furthermore, macrosegregation in VAR ingots becomes pronounced with an increase in melt rate. The main reason for this is due to the increased molten pool depth when the melt rate is increasing, which strengthens fluid flow and accelerates the migration of solute elements to the center. Additionally, due to the increase in the extent of solute enrichment when the melt rate is increasing, the degree of fluctuation in both the steady-state molten pool depth and positive segregation increases.
Detection and Characterization of Escherichia coli and Escherichia coli O157:H7 in Human, Animal, and Food Samples from Kirkuk Province, Iraq
Authors: Altaie Hayman Abdullah Ameen , Gdoura Ben Amor Maroua , Mohammed Burhan Ahmed , Gdoura Radhouane
Published: January 2025

This study aims to investigate the prevalence of E. coli and E. coli O157:H7 in 353 samples collected in Kirkuk from human stool, animal feces, raw and pasteurized milk, and beef hamburgers. E. coli was isolated using conventional methods and identified with the Enterosystem Kit 18R. Suspected E. coli O157:H7 were confirmed serologically and tested for antimicrobial resistance and virulence genes (stx1, stx2, eaeA, and hlyA). The overall prevalence rates of 20.4% for E. coli and 7.9% for E. coli O157:H7 were found, with the highest prevalence in human stool. The antimicrobial susceptibility profile of 28 E. coli O157:H7 isolates revealed significant resistance and sensitivity patterns, highlighting important implications for public health. The isolates demonstrated complete sensitivity to gentamicin (100%), while also showing high sensitivity to ciprofloxacin (92.86%), ceftriaxone (85.71%), and amikacin (64.29%). Conversely, the isolates exhibited notable resistance to tetracycline (85.71%), ampicillin (75.00%), sulfamethoxazole (71.43%), and streptomycin (67.86%). All the E. coli O157:H7 strains isolated in this study were positive for stx1 and/or stx2, as well as the eaeA gene, and are referred to as enterohemorrhagic (EHEC) strains. In order to highlight the genotypic variability among the EHEC E. coli O157:H7 isolates, five virulence profiles were identified, with profile III (stx2, eaeA, and hlyA) being the most common (35.7%). This profile was closely associated with diarrheic humans, while profile V (stx1, eaeA) was prevalent in animal feces and products. These findings may raise awareness of the risks associated with this pathogen, helping to reduce the incidence of E. coli-related diseases and to protect human health.
A Comprehensive Review of the Diagnostics for Pediatric Tuberculosis Based on Assay Time, Ease of Operation, and Performance
Authors: Basu Soumya , Chakraborty Subhra
Published: January 2025

Pediatric tuberculosis (TB) is still challenged by several diagnostic bottlenecks, imposing a high TB burden in low- and middle-income countries (LMICs). Diagnostic turnaround time (TAT) and ease of operation to suit resource-limited settings are critical aspects that determine early treatment and influence morbidity and mortality. Based on TAT and ease of operation, this article reviews the evolving landscape of TB diagnostics, from traditional methods like microscopy and culture to cutting-edge molecular techniques and biomarker-based approaches. We examined the benefits of efficient rapid results against potential trade-offs in accuracy and clinical utility. The review highlights emerging molecular methods and artificial intelligence-based detection methods, which offer promising improvements in both speed and sensitivity. The review also addresses the challenges of implementing these technologies in resource-limited settings, where most pediatric TB cases occur. Gaps in the existing diagnostic methods, algorithms, and operational costs were also reviewed. Developing optimal diagnostic strategies that balance speed, performance, cost, and feasibility in diverse healthcare settings can provide valuable insights for clinicians, researchers, and policymakers.
Tuning Electrical Conductivity and Ultrafast Optical Nonlinearity of Reduced-GO Films Ablated by Femtosecond Laser Direct Writing
Authors: Tao Youliang , Zhang Xuefeng , Wang Han , Nie Zhongquan , Pan Deng
Published: January 2025

Carbon-based nanomaterials with excellent electrical and optical properties are highly sought after for a plethora of hybrid applications, ranging from advanced sustainable energy storage devices to opto-electronic components. In this contribution, we examine in detail the dependence of electrical conductivity and the ultrafast optical nonlinearity of graphene oxide (GO) films on their degrees of reduction, as well as the link between the two properties. The GO films were first synthesized through the vacuum filtration method and then reduced partially and controllably by way of femtosecond laser direct writing with varying power doses. Subsequently, the four-point probe measurements of the reduced-GO (r-GO) films were demonstrated to exhibit superior resistivity and electrical conductivity compared with the pristine-GO counterpart. It was found that the conductivity of the film increases and then decreases with increasing ablation laser power (P), and GO was completely reduced at P = 100 mW, with a resistivity and electrical conductivity of 1.09 × 10−3 Ω·m and 9.19 × 102 S/m, respectively. GO was over-reduced at P = 120 mW, with its resistivity and electrical conductivity being 3.72 × 10−3 Ω·m and 2.69 × 102 S/m, respectively. We further tested the ultrafast optical nonlinearity (ONL) of the as-prepared pristine and reduced GO with the femtosecond Z-scan technique. The results show that the behavior of ONL is reversed whenever GO is reduced in a controlled manner. More interestingly, the higher the ablation laser power is, the stronger the optical nonlinearity of r-GO is. In particular, the nonlinear absorption and refraction coefficients of the r-GO films reach up to 3.26 × 10−8 m/W and −1.12 × 10−13 m2/W when P = 120 mW. The nonlinear absorption and refraction coefficients reach 1.9 × 10−8 m/W and −3 × 10−13 m2/W, respectively, for P = 70 mW. GO/r-GO thin films with tunable photovoltaic response properties have potential for a wide range of applications in microelectronic circuits, energy, and environmental sustainability.
Enhancement of Fracture Toughness of NiTi Alloy by Controlling Grain Size Gradient
Authors: Huang Kai , Deng Zhongzheng , Yin Hao
Published: January 2025

Fracture toughness is a critical indicator for the application of NiTi alloys in medical fields. We propose to enhance the fracture toughness of NiTi alloys by controlling the spatial grain size (GS) gradient. Utilizing rolling processes and heat treatment technology, three categories of NiTi alloys with distinct spatial GS distributions were fabricated and subsequently examined through multi-field synchronous fracture tests. It is found that the one with a locally ultra-high GS gradient (20 nm−3.4 μm) has significantly enhanced fracture toughness, which is as high as 412% of that of the normally distributed nano-grains with an average GS of 8 nm and 178% of that of the coarse-grains with an average GS of 100 nm. Theoretical analysis reveals that in such a gradient structure, phase transition in the coarse-grained matrix greatly absorbs the surface energy of subcritical and stable propagation. Meanwhile, the locally non-uniform GS distribution leads to deviation and tortuosity of the crack path, increasing the critical fracture stress. Furthermore, the nanocrystalline clusters distributed in the form of network nodes reduce the stress intensity factor due to their higher elastic modulus compared to the coarse-grained matrix. This work provides guidance for developing new gradient nanostructured NiTi alloys with high fracture toughness.
Controlled Oxidation of Metallic Molybdenum Patterns via Joule Heating for Localized MoS2 Growth
Authors: Aldosari Norah , Poston William , Jensen Gregory , Bizhani Maryam , Tariq Muhammad , Stinaff Eric
Published: January 2025

High-quality two-dimensional transition metal dichalcogenides (2D TMDs), such as molybdenum disulfide (MoS2), have significant potential for advanced electrical and optoelectronic applications. This study introduces a novel approach to control the localized growth of MoS2 through the selective oxidation of bulk molybdenum patterns using Joule heating, followed by sulfurization. By passing an electric current through molybdenum patterns under ambient conditions, localized heating induced the formation of a molybdenum oxide layer, primarily MoO2 and MoO3, depending on the applied power and heating duration. These oxides act as nucleation sites for the subsequent growth of MoS2. The properties of the grown MoS2 films were investigated using Raman spectroscopy and photoluminescence measurements, showing promising film quality. This study demonstrates that Joule heating can be an effective method for precise control over TMD growth, offering a scalable approach for producing high-quality 2D materials that have the potential to be integrated into next-generation electrical and optoelectronic technologies.
Impact of the Healthy Lifestyle Community Program (HLCP-3) on Trimethylamine N-Oxide (TMAO) and Risk Profile Parameters Related to Lifestyle Diseases During the Six Months Following an Intervention Study
Authors: Alzughayyar Dima-Karam , Weber Ragna-Marie , Husain Sarah , Schoch Nora , Englert Heike
Published: January 2025

Rationale: The dietary components choline, betaine, and L-carnitine are converted by intestinal microbiota into the molecule trimethylamine (TMA). In the human liver, hepatic flavin-containing monooxygenase 3 oxidizes TMA to trimethylamine-N-oxide (TMAO). TMAO is considered a candidate marker for the risk of cardiovascular disease. Methodology: The Healthy Lifestyle Community Program cohort 3 (HLCP-3) intervention was conducted with participants recruited from the general population in Germany (intervention: n = 99; control: n = 48). The intervention included intensive educational workshops, seminars, and coaching activities. The assessment was conducted using a complete case analysis (CCA) of the participants. The intervention was carried out for a ten-week intensive phase and an alumni phase. The interventional program emphasizes adopting a healthy plant-based diet and reducing meat consumption, as adherence to such a diet may lead to lowering TMAO levels. Additionally, it provides general recommendations about physical activity, stress management, and community support. The control group did not receive any intervention. TMAO was evaluated using stable isotope dilution liquid chromatography, and tandem mass spectrometry was used to measure fasting plasma levels of TMAO. Objectives: The present study aimed to determine the impact of the Healthy Lifestyle Community Program (HLCP-3) on risk profiles for lifestyle-related diseases and TMAO plasma levels. Results: Significant decreases in most risk profile parameters were detected, and a non-significant decrease in plasma TMAO levels was observed in the intervention group (0.37 (−1.33; 0.59) µmol/L). Furthermore, for the intervention group, after a six-month follow-up period, there was a significant negative correlation between higher healthy plant diet index (hPDI) scores and a decrease in plasma TMAO (ß = −0.200, p = 0.027). Additionally, a significant negative correlation was observed between the TMAO level and the scores for adherence to the plant diet index (PDI) (r = −0.195; p = 0.023). Conclusions: HLCP-3 is effective at improving adherence to a plant-based diet and improving risk profile parameters. However, long-term interventions involving stricter dietary programs in the sense of a plant-based diet are recommended if significant decreases in TMAO levels are to be obtained.
Associations Between Adherence to the Mediterranean Diet and Incident Sarcopenia in Prospective Cohort Studies
Authors: Dominguez Ligia J. , Veronese Nicola , Smith Lee , Ragusa Francesco Saverio , Schirò Piero , Di Bella Giovanna , Barbagallo Mario
Published: January 2025

The loss of skeletal muscle mass and strength, known as sarcopenia, is prevalent in older adults and linked to an increased risk of disability, frailty, and early mortality. Muscle health is crucial for the functionality and independence of older adults. As the aging population continuously grows, finding cost-effective strategies for preventing and treating sarcopenia is an important public health priority. While nutrition is recognized as a key factor in the development of sarcopenia, its role in preventing and treating the condition is still under investigation. In recent decades, nutritional research has shifted from a focus on individual nutrients or healthy foods to examining the combination of nutrients and foods in dietary patterns, along with their potential synergistic and antagonistic effects. A balanced diet and regular participation in physical activity are essential for maintaining musculoskeletal health. One of the healthy eating patterns with the greatest evidence of multiple health benefits is the Mediterranean diet, which has also been linked to positive effects on muscle function in observational studies. However, there is a lack of intervention studies. This review explores the updated evidence from longitudinal prospective studies on associations between adherence to the Mediterranean diet and sarcopenia in order to promote preventive and intervention strategies for healthy muscle aging.
Enhancement of Fertilizer Efficiency Through Chinese Milk Vetch and Rice Straw Incorporation
Authors: Shah Tahir , Khan Adnan Anwar , Ali Aljerib Yahya Mohammed , Tariq Muhammad , Li Donghui , Geng Mingjian , Gao Yajun , Zhu Qiang
Published: January 2025

The incorporation of rice straw (RS) and Chinese milk vetch (CMV) with reduced chemical fertilizers (CFs) is a viable solution to reduce the dependency on CF. However, limited research has been conducted to investigate the impact of CMV and RS with reduced CF on rice production. A field trial was conducted from 2018 to 2021 with six treatments: CK (no fertilizer), F100 (100% NPK fertilizer (CF)), MSF100 (100% CF+CMV and RS incorporation), MSF80 (80% CF+CMV+RS), MSF60 (60% CF+CMV+RS), and MSF40 (40% CF+CMV+RS). The results revealed that compared with the F100, the MSF80 treatment maintained a significantly higher mean grain yield over the four years, with an increase of 5.8~24.5%. MSF80 treatment also improved nitrogen (N), phosphorus (P), and potassium (K) use efficiencies, sustainable yield index, and partial factor productivity. Soil organic matter (SOM), total nitrogen (TN), ammonium N (NH4+-N), nitrate N (NO3−-N), available phosphorus (AP), and available potassium (AK) contents were significantly enhanced under MSF80 across different growth stages in both 2020 and 2021 seasons over F100. Pearson correlation analysis revealed a strong positive correlation among SOM, TN, NH4+-N, AP, AK, and rice yield. Additionally, Partial Least Squares Path Modeling (PLS-PM) demonstrated significant relationships between organic amendments, soil nutrients, nutrient uptake, and yield. The above findings suggest that combining RS returning with CMV incorporation is a long-term sustainable strategy for maintaining soil health, and it could reduce fertilizer addition by 20% without prejudicing rice grain yield under a rice-green manure rotation system.
Enhancing Biomedicine: Proteomics and Metabolomics in Action
Authors: Costanzo Michele , Caterino Marianna , Santorelli Lucia
Published: January 2025

The rapid and substantial advancements in proteomic and metabolomic technologies have revolutionized our ability to investigate biological systems [...]
Believing and Willing Within the Correlation Between the Willing and the Willed in Blondel’s Action: A Reinterpretation of Immanentism and Transcendence
Authors: de Nigris Francesco
Published: January 2025

The neglected correlation between willing and believing has prevented an understanding of the acting function of consciousness and the meaning of truth in Blondel’s philosophy of action, leading to its immanentist interpretation. To the extent that the intimate willing intention is revealed in the work that factually transcends the willed ends, in view of a single necessary end, thinking shows itself in ideas as principles of action that must come to be believed in their own willing and to make every act an act of faith.
Comparative Performance of Sentinel-2 and Landsat-9 Data for Raw Materials’ Exploration Onshore and in Coastal Areas
Authors: Carvalho Morgana , Cardoso-Fernandes Joana , González Francisco Javier , Teodoro Ana Claudia
Published: January 2025

The demand for Critical Raw Materials (CRM) is increasing due to the need to decarbonize economies and transition to a sustainable low-carbon future achieving climate goals. To address this, the European Union is investing in the discovery of new mineral deposits within its territory. The S34I project (Secure and Sustainable Supply of Raw Materials for EU Industry) is developing Earth observation (EO) methods to support this goal. This study compares the performance of two satellites, Sentinel-2 and Landsat-9, for mineral exploration in two geologically distinct areas in northern Spain. The first area, Ria de Vigo, contains marine placer deposits of heavy minerals, while the second, Aramo, hosts Co-Ni epithermal deposits. These sites provide exceptional case studies to improve EO-based methods for CRM exploration onshore and coastal regions, focusing on deposits often overlooked in remote sensing studies. Standard remote sensing methods such as RGB combinations, Principal Component Analysis (PCA), and band ratios were adapted and compared for both satellites. The results showed similar performance in the Ria de Vigo area, but Sentinel-2 performed better in Aramo, identifying a higher number of zones of mineral alterations. The study highlights the advantages of Sentinel-2’s higher spatial resolution, especially for mapping smaller or more scattered mineral deposits. These findings suggest that Sentinel-2 could play a larger role in mineral exploration. This research provides valuable insights into using EO data for diverse CRM deposits.
Polarization Scattering Regions: A Useful Tool for Polarization Characteristic Description
Authors: Huang Jiankai , Yin Jiapeng , Xu Zhiming , Li Yongzhen
Published: January 2025

Polarimetric radar systems play a crucial role in enhancing microwave remote sensing and target identification by providing a refined understanding of electromagnetic scattering mechanisms. This study introduces the concept of polarization scattering regions as a novel tool for describing the polarization characteristics across three spectral regions: the polarization Rayleigh region, the polarization resonance region, and the polarization optical region. By using ellipsoidal models, we simulate and analyze scattering across varying electrical sizes, demonstrating how these sizes influence polarization characteristics. The research leverages Cameron decomposition to reveal the distinctive scattering behaviors within each region, illustrating that at higher-frequency bands, scattering approximates spherical symmetry, with minimal impact from the target shape. This classification provides a comprehensive view of polarization-based radar cross-section regions, expanding upon traditional single-polarization radar cross-section regions. The results show that polarization scattering regions are practical tools for interpreting polarimetric radar data across diverse frequency bands. The applications of this research in radar target recognition, weather radar calibration, and radar polarimetry are discussed, highlighting the importance of frequency selection for accurately capturing polarization scattering features. These findings have significant implications for advancing weather radar technology and target recognition techniques, particularly as radar systems move towards higher frequency bands.
Determination of Cenozoic Sedimentary Structures Using Integrated Geophysical Surveys: A Case Study in the Hebei Plain, China
Authors: Yang Yi , Zhang Jie , Wu Junjie , Li Pei , Wang Xingchun , Zhi Qingquan , Hao Guojiang , Li Jianhua , Deng Xiaohong
Published: January 2025

The strong multi-stage tectonic movement caused the northwest of the North China Plain to rise and the southeast to fall. The covering layer in the plain area was several kilometers thick. In addition to expensive drilling, it is difficult to obtain deep geological information through traditional geological exploration. In this study, gravity, magnetotelluric (MT) sounding and shallow seismic methods are used to explore the basement relief and stratigraphic structure of the alluvial proluvial area in front of Taihang Mount in the North China Plain so as to understand the geological structure and sedimentary evolution of the area. The gravity anomaly map reveals the basement uplift, depression shape and faults distribution on the horizontal plane in the whole area. The MT profile reflects the geoelectric characteristics of the three-layer distribution in the Cenozoic. The seismic profile deployed on the Daxing Uplift depicts the structural style of the uplift area. The well-to-seismic calibration establishes the relationship between the lithostratigraphic and the wave impedance interface so that we can accurately obtain the shape and depth of the bedrock surface and further subdivide Cenozoic strata. Finally, we have improved the accuracy of interface inversion by using a variable density model based on density logging parameter statistics to constrain the depth of geological interfaces determined through drilling and multi-geophysical methods. Through the combination of geology and comprehensive geophysics, we have obtained the undulating patterns of Paleogene and Quaternary bottom interfaces, the structural styles of the basement and the distribution of faults in the survey area, which provide strong support for the study of neotectonic movement and sedimentary environment evolution since the Cenozoic. The successful application of this pattern proves that geophysical surveys based on prior geological information are an important supplementary tool for geological research in thick coverage areas.