bluuebunny/crossref_metadata_2025 huggingface dataset:
The impacts of neglecting neglect in psychotherapy research and practice and a role for positive affect in repair
Authors: Leeds Andrew M.
Published: December 2024

Childhood emotional neglect (CEN) and childhood physical neglect (CPN) are often overlooked in research due to challenges in defining and detecting these forms of maltreatment. Despite being identified through standardized intake forms, CEN and CPN are often overlooked in organized clinical settings. CEN has been shown to significantly impact subsequent mental health issues in both prospective and retrospective studies. Sensitive periods have been identified during which CEN and CPN have greater impacts on later symptoms of post-traumatic stress disorder, depression, and shutdown dissociation. Notably, CEN has been identified as a more specific predictive factor for shutdown dissociation in adults than early-childhood maltreatment. To address these issues, clinicians must gain a greater awareness of the role of CEN and CPN and develop effective strategies for identifying and treating their long-term effects. Survivors of CEN can enhance their self-concept and their interpersonal interactions through clinical interventions aimed at enhancing their capacity to tolerate and assimilate positive emotional states.
A Theory of Gravity Based on Dimensional Perturbations of Objects in Flat Spacetime
Authors: Northcutt William
Published: December 2024

A covariant classical theory of gravity is given assuming absolute flat spacetime and the strong equivalence principle (SEP). It is shown that adherence to these postulates requires that the gravitational field “dimensionally perturb” all physical objects at a location universally. Such perturbations are referred to as “gravity shifts,” and it is found that all gravitational phenomena may be given in terms of them. Two classes of observers emerge in “gravity shift theory”—“natural observers” using gravity shifted instruments as is, and “absolute observers” that correct for the gravity shifting applied to instruments. Absolute observers accurately measure quantities, including the absolute spacetime metric as it actually is. Natural observers do not accurately measure quantities, but their system of measurement is observationally consistent, yielding a curved “natural metric” to characterize spacetime. When a local gravitational system is surrounded by a “background system” with negligible curvature effects, its gravity shifting induces a diffeomorphism applied to the local system, yielding satisfaction of the SEP for natural observers. Using the naturally observed inertial form of physical law in free-fall frames, covariant formulation in all coordinates establishes the natural metric as the universally coupled “gravitational metric” in physical law. The unique field equation determining gravity shifts, and therefore the natural metric, is developed. The resultant bimetric theory is parameterless, complete, and self-consistent. The field equation yields the observed post-Newtonian natural metric and linearizes to the predictive linearized Einstein equation, which, along with SEP satisfaction, results in successful prediction of a wide variety of observed gravitational phenomena. A supplement is provided that extends the range of predictions to include low post-Newtonian order radiation cases, and also the strong-field cases consisting of the properties of black and neutron stars plus any nearby matter and light, where in all cases, the predictions are shown to be consistent with observations.
Reevaluation of CHP Hubble Parameters to Decoding AUE Universe Accelerate
Authors: Rizwan Hassan , Fatima Anfal , Zaib Shah , Ashraf Umar
Published: December 2024

The cosmological parameters, specifically BCP(Baryon Cosmological Parameter (Telescopic Universe) )and DCP (Dark Cosmological Parameters (Lightless Universe)), are accelerating more apace than we expected. This accelerated our understanding of its functions in covariance to expansion parameters[1]. The Hubble tension is a long-familiar question in the exploration of cosmological parameters[2][3]. The measurement of the Hubble constant (H0), unveils a disparity in how apace the BCP and DCP[4]. Diametrical ways of measuring parameters yield various results, highlighting the realness that numerous questions in this domain remain unanswered[5][6]. This gap brings to light question regarding our existing cosmological parameters known(CDM) [7][8]. It suggests the necessity of incorporating new parameters, often referred to as the DPP(Dark Physics Parameters) method, to gain an understanding of the accelerated universe. This theory integrates a between the Hubble equation, both BCP and DCP are accelerating cosmological Hubble parameters. This integration pertains to how Cosmological Hubble parameters evolve across the past, present, and future dimensions. We propose that both BCP and DCP are influenced by stochastic variables in a diametrical domain characterized by dissent magnitude of matter. This theory's conjunctive mass term, volume term, and CHP provide a new perspective on BCP, specifically DCP and Hubble Tension. This theory discusses that the reevaluation of our current understanding of BCP and DCP is necessary to integrate this acceleration of Universe Expansion changes. This adjustment could help us understand one of the biggest mysteries in modern cosmology.
Conversion of 10–min Rain–Rate Time Series into 1–min Time Series: Theory, Experimental Results and Application to Satellite Communications
Authors: Matricciani Emilio , Riva Carlo G.
Published: December 2024

We propose a method – based on a filtered Markov process – to convert 10–min rain–rate time series into 1–min time series – i.e. quasi instantaneous rainfall – the latter to be used as input to the Synthetic Storm Technique – a very reliable tool – for calculating rain–attenuation time series in satellite communication systems, or to estimate runoff, erosion, pollutant transport and other applications in hydrology. To develop the method, we use a very large data bank of 1–min rain–rate time series collected in several sites with different climatic cnditions. We first convert them into 10–min rain–rate time series – to obtain the measured data provided by some Meteorological Institutes – then, from this latter data, we develop the method that generates 1–min rain–rate time series and compare them with the measured ones. The two time series agree very well. Afterwards, we use them to simulate rain attenuation time series at 20.7 GHz, in 35.5° slant paths to geostationary satellites. The two simulated rain attenuation probability distributions show very small differences, therefore we conclude that the rain–rate conversion method is very reliable.
The Impact of Carbon on Electronic Structure of ZnO:N Films – Scanning Photoelectron Microscopy Study and DFT Calculations
Authors: Guziewicz Elżbieta , Mishra Sushma , Amati Matteo , Gregoratti Luca , Volnianska Oksana
Published: December 2024

Scanning Photoelectron Microscopy (SPEM) experiment has been applied to ZnO:N films deposited by Atomic Layer Deposition (ALD) under O-rich conditions and post-growth annealed in oxygen at 800oC. State of the Art spatial resolution (130 nm) allows probing electronic structure of single column of growth. The samples were cleaved under ultra-high vacuum (UHV) conditions to open atomically clean cross-sectional area for SPEM experiment. It has been shown that different columns reveal considerably different shape of the valence band (VB) photoemission spectra, and some of them are shifted towards the bandgap. The shift of the VB maximum, which is associated with hybridization with acceptor states, was found to be correlated with carbon content measured as a relative intensity of the C1s and the Zn3d core levels. Density Functional Theory (DFT) calculations of V_Zn migration properties suggest that interstitial -CH_x groups facilitate the formation of acceptor complexes due to additional lattice perturbation.
Physicochemical, Structural, and Digestive Properties of Green Banana Starch from Five Chinese Mutant Banana Species
Authors: Yuan Dexian , Zhang Yutong , Chen Xiaoai , Xu Fei , Zhu Kexue , Wang Jinling , Zhang Yanjun
Published: December 2024

This study provides a comprehensive analysis of the physicochemical, structural, and functional properties of starches extracted from five distinct banana varieties. The starches were labeled as follows: 'Nan Tian Huang' starch (NS), 'Da jiao' starch (DS), 'Gui jiao' starch (GS), 'Gong jiao' starch (OS), and 'Hong jiao' starch (HS). The results show that all starches exhibit a high amylose content (21.97–55.46%) and a high resistant starch (RS) content (88.3–93.5%), with A-type crystalline structures. The starches isolated from the five banana varieties are predominantly flat, rod-shaped, and spherical. Particle sizes vary significantly, ranging from 19.75 to 28.65 µm, which contributes to differences in their functional properties. For example, DS demonstrates exceptional functional properties, including high RS content, a low glycemic index (GI), and excellent thermal stability. In contrast, HS starch, despite its high amylose content, exhibits higher enzymatic digestibility and lower freeze-thaw stability. Principal component analysis (PCA) and correlation analysis revealed that amylose content, thermal properties, and particle morphology are key determinants of the physicochemical and digestive properties of banana starch, emphasizing their interde-pendence. Additionally, notable differences were observed in the gelatinization properties, thermal characteristics, crystallization, and textural parameters. These findings offer valuable in-sights into the potential applications of banana starch in functional foods and industrial products, highlighting the importance of starch type in optimizing its functionality.
Analysis of the spatiotemporal evolution characteristics of green total factor productivity measurement of China's sports industry
Authors: Ding Dan , Yanmei DONG
Published: December 2024

The HMB index method is used to measure the green total factor productivity of the sports industry in 31 provinces (municipalities and autonomous regions) in China from 2013 to 2022, and on this basis, the convergence and kernel density estimation of regional differences are carried out, and the Markov state transition analysis is further carried out. The results show that: (1) the green total factor productivity of China's sports industry shows a wave-like upward trend as a whole; The sports manufacturing industry has increased the control of pollution process, but the investment in pollution control in the sports service industry is low; The GTFPHM index in the eastern region is the highest, with an average annual growth rate of 3.3%, and most of the provinces (cities) in the region are environment-friendly, but the GTFPHM index in the central and western regions is less than 1, and there are few environment-friendly provinces (cities). (2) The highest contribution to the improvement of green total factor productivity of China's sports industry is pure technical efficiency, followed by range productivity and scale efficiency, and the technological progress index does not mention but decreases. However, unlike other regions, the eastern region has an average annual growth rate of 4.1% in the index of technological progress. (3) The differences in green total factor productivity of the sports industry in the four major regions of China generally showed a wave-like upward trend, and the differences mainly came from within the group, and the contribution between the groups was small. From the perspective of the contribution of each region to the total difference, the western and eastern regions contributed more to the total difference, but the contribution of the eastern region showed a wave-like downward trend, while the western region had a gradual upward trend, which was the main source of regional differences in the future. (4) There is a club effect in the transfer of green total factor productivity in the sports industry, and it is relatively difficult to transfer across levels. The higher the productivity level of the neighbors, the more conducive to the improvement of the productivity level of the low-level area. However, when neighboring with high-level areas, the phenomenon of good-neighboring and beggar-thy-neighbor coexists.
System Dynamics for Manufacturing: Supply Chain Simulation of Hemp-Reinforced Polymer Composite Manufacturing for Sustainability
Authors: Kaur Gurinder , Kander Ronald
Published: December 2024

In supply chain management (SCM), the flow of goods and services from raw materials to the end user involves significant complexities and uncertainties at each stage. Computer modeling and simulation offer powerful tools to address these challenges, as they can efficiently analyze operational issues that are otherwise time-consuming and difficult to explore. Inaccurate estimation of raw materials, labor, or equipment often leads to financial losses and environmental impact, a concern for many manufacturing companies. The purpose of this study is to explore the application of system dynamics modeling (SDM) in the manufacturing of hemp-reinforced polymer composite (HRPC), with the goal of optimizing material, labor, and equipment usage. By applying system dynamics (SD), the manufacturing unit can enhance sustainability by minimizing the use of materials, labor, and equipment, thereby lowering energy consumption. For this research, the SDM software STELLA® was chosen for its affordability, ease of use, and comprehensive features, making it a strong choice compared to other leading software options. Our literature review revealed a significant gap in existing research, as we could not identify any study currently exploring the simulation of HRPC material manufacturing using SDM. Our study concludes that SDM simulation serves as an effective method for optimizing materials, labor, and equipment in the manufacturing of HRPC materials. By simulating various supply chain scenarios in a risk-free environment, the model reduces resource consumption and improves manufacturing efficiency, hence promoting sustainability. Furthermore, outputs from the STELLA® model can serve as inputs for life cycle assessment (LCA) to quantitatively evaluate environmental impacts.
Assessing Public Transport Accessibility for People with Physical Disabilities in Burgos, Spain: A User-centered Approach to Inclusive Urban Mobility
Authors: Elorduy Juan L. , Pino Yesica , Gento Ángel M.
Published: December 2024

Accessibility in public transport is essential for fostering inclusive and sustainable urban development, ensuring equitable mobility for all citizens, particularly individuals with physical disabilities or reduced mobility. Globally, over 1.3 billion individuals, including 4.12 million in Spain, live with disabilities. Despite legislative advances, many cities struggle to meet accessibility standards that enable independent and safe use of public transport. This study evaluates the accessibility of 431 bus stops in Burgos, Spain, using a validated, replicable methodology that incorporates on-site observations, critical accessibility assessments, geolocation, and photographic documentation. Findings highlight persistent barriers, including issues with vehicle encroachment prevention, stop locations, bus shelter design, and the availability of accessible formats such as Braille and audio. Overcoming these barriers can significantly enhance urban mobility, reduce environmental impacts, and align with Sustainable Development Goal 11, particularly Target 11.2, which emphasises accessible and sustainable transport systems. This adaptable methodology offers cities worldwide a robust framework to improve public transport accessibility, contributing to global efforts in creating inclusive, resilient, and climate-neutral urban systems.
Achieving Demographic Parity Across Multiple Artificial Intelligence Applications: A new approach for Real-Time Bias Mitigation
Authors: Bou Victoria
Published: December 2024

Through quantitative analysis of three datasets, this study examines the efficacy of synthetic data generation in mitigating demographic bias within artificial intelligence (AI) systems across multiple sectors. It evaluates approaches based on Generative Adversarial Networks for creating demographically balanced synthetic data whilst maintaining data fidelity and model performance. The findings demonstrate significant improvements in fairness metrics, with Demographic Parity scores increasing markedly for both race and gender attributes, whilst maintaining comparable accuracy scores between synthetic and original datasets (0.87 versus 0.88). Kullback-Leibler Divergence values below 0.003 for categorical features indicate successful replication of demographic characteristics. The study reveals that synthetic data can effectively address representational imbalances without compromising predictive performance, particularly in bias-sensitive domains such as healthcare and criminal justice. However, implementation requires rigorous validation protocols and human oversight to ensure quality and fairness. The research contributes to the growing body of evidence supporting synthetic data as a viable solution for developing more equitable AI systems, particularly within regulatory frameworks emphasising fairness and privacy. These findings have significant implications for the advancement of AI development, suggesting the integration of human-in-the-loop systems to enhance synthetic data generation quality and fairness.
Inadvertent Dural Puncture Causing Low Pressure Headache and Peripheral Vestibular Damage
Authors: Longridge Neil S , Mallinson Art I , Robinson R Gordon
Published: December 2024

This journal edition is dedicated to Dr. John Epley. For this reason, we would like to present a very unusual case involving the development of a bilateral abnormality of the otolith organs. The otoliths are the structures from which calcium particles detach to induce benign paroxysmal positional vertigo; the disorder for which Dr Epley is famous for managing. He described, explained and popularized his eponymous maneuver, which is now utilized worldwide by clinicians as both a diagnostic and therapeutic assessment.
Vibration Mitigation in the Transport of Fruit Boxes Using 3D Printed Quasi-Zero-Stiffness Devices
Authors: Sanchez-Cachinero Pedro , Aguilar-Porro Cristina , Sola-Guirado Rafael R.
Published: December 2024

The transport of freshly post-harvested fruit to the collection points is mainly done in trailers over uneven terrain, which generates impacts and vibrations that negatively affect the quality of the fruit. Although some solutions to mitigate these effects have been proposed in previous studies, none of them are applied directly to the source of the problem, i.e., the transport boxes. In this context, quasi-zero-stiffness (QZS) isolators combined with additive manufacturing techniques open the possibility of exploring vibration mitigation-oriented metamaterials thanks to their associated non-linear characteristics. In this work, ABS sheets with different internal geometries were manufactured and compared as possible bottoms of transport boxes. The design variables analyzed for these geometries included the number of ribs, their thickness and their angle of inclination. In these specimens, their behavior to impact-type forces and their experimental dynamic behavior were studied using an electromagnetic shaker against a sinusoidal signal and against the uniaxial vibration recorded at the base of a trailer in a real rural route. The results showed that the specimens with a rib angle of 30º and a thickness of 0.4 mm showed the best impact performance and a higher amplification of vibration transmissibility in steady state. In the presence of the signal recorded on the route, transmissibility reduction percentages between 13% and 19% were obtained in the principal acceleration impact.
Current Strategies in Developing Antibacterial Surfaces for Joint Arthroplasty Implant Applications
Authors: Cardoso Giovana Collombaro , Correa Diego Rafael Nespeque , Fosca Marco , Pometun Evgenii V. , Antoniac Iulian V. , Grandini Carlos Roberto , Rau Julietta V.
Published: December 2024

Prosthetic joint infections (PJIs) remain a significant challenge, occurring in 1% to 2% of joint arthroplasties and potentially leading to a 20% to 30% mortality rate within 5 years. The primary pathogens responsible for PJIs include Staphylococcus aureus, coagulase-negative staphylococci, and various gram-negative bacteria, typically treated with intravenous antibiotic drugs. However, this conventional approach fails to effectively eradicate biofilms or the microbial burden in affected tissues. As a result, innovative strategies are being explored to enhance the efficacy of infection prevention, through the development of antibacterial coated implants. These coatings are required to demonstrate broad-spectrum antimicrobial activity, minimal local and systemic toxicity, favourable cost-effectiveness, and support for bone healing. In the present review, the analysis of various methodologies for developing antibacterial coatings was performed, emphasizing studies that conducted in vivo tests to advance potential clinical applications. A diversity of techniques employed for the development of coatings incorporating antimicrobial agents, highlight promising avenues for reducing infection-related surgical failures.
SENIS Advanced Sensors and Instruments for Magnetic Field and Electric Current Measurements
Authors: Popovic Renella Dragana , Urban Maciej , Mitrovic Zarko
Published: December 2024

This paper presents the latest innovations and applications of SENIS’s 3D Hall sensors, which are based on proprietary vertical and horizontal Hall sensor technology, as well as low-noise teslameters, cryogenic low-noise magnetic field transducers, 3D magnetic field mappers, and 3D cameras. Novel Hall-based current sensors, offering high resolution and bandwidth, will also be introduced, with applications in detectors for monitoring boards. SENIS sensors and measurement instruments, known for their high resolution, accuracy, and compact design, are critical tools for the fiducialization and alignment of magnets, as well as for monitoring, quality control, inline inspection, and metrology. A key factor in achieving precise measurements is the small field sensitive volume of the sensor and the orthogonality of the Hall elements. SENIS’s proprietary calibration methodology reduces the orthogonality error of the 3-axis sensor to as low as 0.1°, ensuring high precision and reliability in various scientific and industrial applications. Additionally, this paper briefly introduces SENIS’s 3D Teslameter 3MH6-E, which offers a resolution of 0.5 µT and an accuracy of 100 ppm, combined with the field-sensitive volume of the 3-axis sensor measuring 100 µm × 100 µm × 10 µm. Thanks to its ability to measure both the orientation and amplitude of the magnetic flux density vector, it serves as a reference device in metrology, replacing NMR teslameters.
LEED Version 4 (v4) Gold Certification Strategies for Existing Office Buildings in the United States
Authors: Pushkar Svetlana
Published: December 2024

The objective of this study was to evaluate the impact of project/building characteristics on LEED-EB v4 gold-certified projects in the US. LEED project/building characteristics include project size and the number of buildings built before and after the 1973 energy crisis. LEED-EB-certified projects include a score for Location and Transportation credit (LTc1) and scores for Energy and Atmosphere credits (EAcs) (EAc6, “renewable energy and carbon offsets”, and EAc8, “optimize energy performance”). From 112 LEED projects, two groups of projects with specific achievements were selected. Group 1 (n1 = 13) includes high achievements in LTc1 and low achievements in EAc6 and EAc8. Group 2 (n2 = 13) includes high achievements in LTc1, EAc6, and EAc8. The exact Wilcoxon–Mann–Whitney or Fisher’s exact 2×2 test was used to estimate significant differences between two groups. As a result, Group 2 outperformed Group 1 in EAc6 and EAc8 (p <0.001, respectively). Group 1 outperformed Group 2 in project size and the number of buildings built before the “1973 energy crisis” (p = 0.017 and 0.005, respectively). Knowing the project size and the building's construction date can help LEED professionals choose the best certification strategy.
Biodiesel and Biolubricant Production from Waste Cooking Oil: Transesterification Reactor Modelling
Authors: Álvarez Peña Pedro Modesto , Collado Contreras Javier , Nogales-Delgado Sergio
Published: December 2024

The role of green technologies is becoming important due to multiple factors, from geopolitical aspects to green policies that support the implementation of these processes. Specifically, biodiesel and biolubricants can play a strategic role in this context, as they can be produced, under specific conditions (through double transesterification), in biorefineries on an industrial scale. In this sense, the design of industrial facilities is essential to assess the industrial implementation of these processes. The aim of this work was to produce biodiesel and biolubricant from waste cooking oil through double transesterification with methanol and trimethylolpropane, respectively. The main characteristics of the products, following the UNE-EN 14214 standard, were measured, including a kinetic study (with temperature ranges from 80 to 140 °C, catalyst concentration from 0.3 to 0.9% w/w and working pressure from 210 to 760 mmHg) to establish the main kinetic parameters, obtaining a second-order reaction and an activation energy of 17.8 kJ·mol-1. Finally, a conceptual design was carried out, including the main components of the facility, such as tanks, pump system, reactors, vacuum and oil purification systems, among others. As a result, the projected plant would work in a discontinuous regime, producing 2 m3 per day.
Aerobic-Resistance Training with Royal Jelly Supplementation Has a Synergistic Effect on Paraoxonase 1 Changes and Liver Function in Women with NAFLD
Authors: Askari Roya , Rabani Nazanin , Marefati Hamid , Azarnive Marzie Sadat , Pusceddu Matteo , Migliaccio Gian Mario
Published: December 2024

Nonalcoholic fatty liver disease (NAFLD) is a clinical pathological syndrome characterized by steatosis and fat accumulation in liver parenchymal cells without a history of excessive alcohol drinking in a patient. Currently, there is no definitive treatment for NAFLD, and its prevalence increases with age, obesity, and after menopause. Among the ways to treat it, we can mention regular sports exercises and the use of natural supplements. Therefore, the aim of this research is to investigate and compare the effect of aerobic-resistance training with royal jelly supplementation on changes in paraoxonase 1, oxidized LDL, liver function and lipid profile in postmenopausal women with non-alcoholic fatty liver disease. Methods: This semi-experimental study on 23 women with non-alcoholic fatty liver disease with average weight (71.34 ± 11.63 kg), age (48.54 ± 3.88 years), body mass index (27.63 ± 4.20 kg/m2) who were randomly Two groups of exercise+supplement (n=12) and exercise+placebo (n=11) were divided; done Both groups performed 8-station resistance exercises (8-12 repetitions in 2-4 sets) for 8 weeks, 3 sessions per week (for 35-40 minutes, from 10-15 RPE) and then From 10-15 minutes of active rest, they performed aerobic exercises with an intensity of 40-85% of the target heart rate, in two-minute intervals with 45 seconds of active rest. Royal jelly supplement (500 mg on training days, before each training session) was consumed. Blood sampling was done before and 48 hours after the last training session. Statistical analysis was performed using variance test with repeated measures (two groups x two stages of pre-test-post-test) in SPSS software with a significance level of p<0.05. Results: The results of the statistical analysis showed that the effect of eight weeks of exercise+supplement and exercise+placebo on PON1, oxLDL, lipid profiles (HDL, LDL, TC and TG) and liver enzymes (ALT, AST) in women with fatty liver non-alcoholic, there is a significant difference (P<0.05). The results showed a significant increase in PON1 (P=0.008) and HDL (P=0.005) in the exercise+supplement group compared to the exercise+placebo group. But a significant decrease for oxLDL (P=0.031), TC (P=0.045), TG (P=0.013), LDL (P=0.027), ALT (P=0.015) and AST (P=0.009) was observed in the exercise+supplement group compared to the exercise+placebo group. Conclusion: Based on the results, it can be concluded that aerobic-resistance exercises with the addition of royal jelly can probably be an efficient and recommended strategy to minimize the harmful effects of non-alcoholic fatty liver disease by affecting the activity of liver enzymes. paraoxonase 1, LDL oxidation and lipid profile. However, in order to obtain more accurate scientific evidence, it is necessary to investigate more doses and timing of royal jelly in future studies.
Perception of the Residential Living Environment: The Relationship between Objective and Subjective Indicators of the Residential Living Environment and Health
Authors: Gotink Joachim , Rodriguez-Loureiro Lucia , Gadeyne Sylvie
Published: December 2024

Background: Multiple studies have found an association between ambient air quality, noise pollution, green spaces, and health. The underlying mechanisms of this association remain partly unknown. In this study, we focus on subjective perception as a potential underlying factor.

Methods: The data consisted of a linkage between the 2001 census, register mortality data from the 1st of October 2001 to the 31st of December 2016 and objective indicators of the residential living environment (air and noise pollution and green spaces). We used Cox regression to investigate the impact of objective and subjective indicators of the living environment and their potential interaction effect on all-cause mortality in the Brussels Capital Region.

Results: A negative subjective perception of the residential living environment is associated with a higher mortality hazard, even when controlling for socio-demographic parameters. Similarly, also objective indicators of air pollutants and green spaces are related to mortality. When studying the interaction effect, the beneficial effect of a neutral subjective perception stands out. Subjectively satisfied individuals living in the worst objective conditions showed the highest mortality hazard. Noise pollution was the only exception, characterised by a lack of an interaction effect.

Conclusion: This study showed that besides objective indicators, subjective perception of the residential environment also matters and that both interact in influencing life chances. Subjective indicators not only have a genuine independent impact, they also act as an underlying factor in the relationship between objective residential environment and health.
Evaluation of Carboxymethyl Cellulose/Gelatin Hydrogel-Based Dressing Containing Cefdinir for Wound Healing Promotion in Animal Model
Authors: Soleimani Zahra , Baharifar Hadi , Najmoddin Najmeh , Khoshnevisan Kamyar
Published: December 2024

The skin serves as a critical barrier against external pathogens and its wound healing is a complex biological process that requires careful management to ensure optimal tissue regeneration. Hydrogels, a class of hydrophilic polymers, have emerged as promising materials for wound dressings due to their biocompatibility, biodegradability, and ability to create a moist wound environment conducive to cell proliferation and migration. In this research, a hydrogel dressing containing cefdinir was made from a combination of carboxymethyl cellulose (CMC) and gelatin (Gel) by physical cross-linking method and their physicochemical, mechanical, and biological properties were investigated. Results show that the addition of Cefdinir does not cause a significant change in the morphology, and the tensile strength of the wound dressing. The swelling and degradation rate of the hydrogel slightly increased in the presence of Cefdinir (Cef). The presence of Cef enhanced antibacterial effects up to 2.5-fold against P. aeruginosa (35 mm), S. aureus (36 mm), and S. pyogenes (35 mm). The results of the cytotoxicity test showed the absence of cytotoxicity in both drug-containing and drug-free wound dressings, as well as the survival rate of over 75% of cells after 48 h. The drug-containing wound dressing accelerates the formation of the epidermis layer and the production of fibroblast cells, and as a result, accelerates the wound healing process. The percentage of wound healing on the ninth day of treatment for an untreated wound was 30%, while this percentage was 40% with a wound dressing without medicine and 60% with a wound dressing containing medicine, and on the fourteenth day of treatment, the wound treated with both wound dressings had more than 85% healing. As a result, it is possible to use CMC/Gel hydrogel polymeric wound dressing containing Cef as a wound dressing for wound healing, according to the desired physicochemical properties and biocompatibility.
Evaluation of Silver Recovery from High Sulphur Mining Waste Using the Thiourea-Oxalate System
Authors: Muñoz Erick , Toro Norman , Reyes Martín , Reyes-Domínguez Ivan , Teja-Ruiz A.M. , Flores Mizraim U. , Martínez Jesús Iván , Flores Gabriel , Juárez Julio Cesar
Published: December 2024

Mine tailings are a byproduct of mineral extraction and often pose an environmental challenge due to the contamination of soil and water bodies with dissolved metals. However, this type of waste offers the opportunity for the recovery of valuable metals such as silver (Ag). In the present investigation, an integral analysis of a sample of tailings was carried out, addressing its granulometry, elemental composition, neutralization potential (NP) and acid potential (AP), as well as its mineralogy; for the dissolution of silver from this type of waste. For this purpose, thiourea (CH₄N₂S) was used as a leaching agent due to its low toxicity and potassium oxalate (K₂C₂O₄) as an organic additive to improve the leaching of the silver phases (argentite and polybasite) present in the tailings. The effects of CH₄N₂S and K₂C₂O₄ concentrations, temperature, and pH on the leaching efficiency of silver (Ag), copper (Cu), iron (Fe), and arsenic (As) were systematically studied. The results revealed that the maximum silver dissolution rate reached 90.75% under optimal conditions: 0.2 M L⁻¹ of thiourea, 0.2 M L⁻¹ of potassium oxalate, at 35°C and a pH of 2.
Anthoteibinenes F–Q, New Sesquiterpenes from the Irish Deep-sea Coral Anthothela grandiflora
Authors: Olsen Stine S.H. , Afoullouss Sam , Cruz Rosa Ezequiel , Young Ryan M , Johnson Mark , Allcock A. Louise , Baker Bill. J.
Published: December 2024

New technology has opened opportunities for research and exploration of deep-water ecosystems, highlighting deep-sea coral reefs as a rich source of novel bioactive natural products. During our ongoing investigation of the chemodiversity of the Irish deep-sea and the soft coral Anthothela grandiflora, we report 12 unreported cadinene-like functionalized sesquiterpenes, anthoteibinenes F-Q. The metabolites were isolated using both bioassay- and 1H NMR-guided approaches. 1D/2D NMR spectroscopy and high-resolution mass spectrometry were used for structure elucidation, while a combination of NOESY NMR experiments, GIAO NMR calculations coupled with DP4+ probabilities measures, and ECD comparisons were incorporated to propose relative and absolute configurations of the anthoteibinenes. The metabolites were screened against the Respiratory Syncytial Virus (RSV), ESKAPE pathogens, five Candida albicans strains and one strain of C. auris.
Navigating Economic Inequities: Neighborhood Relative Income and Depressive Symptoms in Later Life
Authors: Cho Seungjong
Published: December 2024

Depressive symptoms are influenced not only by absolute income but also by relative income, particularly among older adults. The present article, guided by the relative deprivation theory and relative position hypothesis, examines the relationship between neighborhood relative income and depressive symptoms in older adults. This study utilized a merged dataset from the American Community Survey data and the RAND Health and Retirement Study data (N = 3,071; age 65+). Neighborhood relative income was measured by calculating the difference between the natural logarithm of an individual's household income and the natural logarithm of the median household income in their Census tract, then dividing this difference by the natural logarithm of the median household income in the same tract. Negative binomial regression revealed a significant link between lower relative economic positions and more counts of depressive symptoms, even after controlling for individual and neighborhood covariates. These findings underscore the urgent need for social work interventions and policies that address the mental health impacts of economic disparities in older populations. Future research should explore the pathways through which relative deprivation influences mental health to inform more targeted interventions.
Low Energy High Current Pulsed Electron Beam Surface Treatment on the Tribological Behavior of 17-4PH Steel Produced via Binder Jetting
Authors: Fabiocchi Lorenza , Mariani Marco , Lucchini Huspek Andrea , Pozzi Matteo , Bestetti Massimiliano , Lecis Nora
Published: December 2024

Stainless steel 17-4PH is valued for its high strength and corrosion resistance but poses machining challenges due to rapid tool wear. This research investigates the use of pulsed electron beam surface treatment to enhance surface properties of components fabricated by binder jetting additive manufacturing. The aim is to improve the tribological performance compared to the as-sintered condition and the H900 aging process, which optimizes hardness and wear resistance.Printed samples were sintered in a reducing atmosphere and superficially treated with an electron beam by varying the voltage and the pulse count. Results showed that the voltage affects the roughness and thickness of the treated layer, whilst the number of pulses influences the hardening of the microstructure and consequently the wear resistance. A reciprocating linear pin-on-disk wear test was conducted at 2 N and 10 Hz. Surface-treated samples exhibited lower coefficients of friction, though the values approached those of aged samples after the abrasion of the melted layer, indicating a deeper heat-affected zone formation. Still, the friction remained lower than that of as-printed specimens. This study demonstrates that optimizing electron beam parameters is vital for achieving surface performance comparable to bulk aging treatments, with significant implications for long-term wear resistance.
Retrofitted Hydrogen-Electric Propulsion Aircraft: Performance Simulation of Critical Operating Conditions
Authors: Lammen Wim , Dewitte Pieter-Jan , Scheers Elise
Published: December 2024

Retrofitting regional turboprop aircraft with hydrogen (H2)-electric powertrains, using fuel cell systems (FCS), has gained interest in the last decade. This type of powertrain eliminates CO2, NOx, and fine particle emissions during flight, as FCS only emit water. In this context, the "Hydrogen Aircraft Powertrain and Storage Solutions" (HAPSS) project targets the development of a H2-electric propulsion system for retrofitting Dash 8-300 series aircraft. The purpose of the study described in this paper is to analyze the performance of the retrofitted H2-electric aircraft during critical operating conditions. Takeoff as well as climb, cruise and go-around performances are addressed. The NLR in-house tool MASS (Mission, Aircraft and Systems Simulation) was used for the performance analyses. The results show that the retrofitted H2-electric aircraft has a slightly increased takeoff distance compared to the Dash 8-300 and it requires a maximum rated shaft power of 1.9 MW per propeller. A total rated FCS output power of 3.1 MW is sufficient to satisfy the takeoff requirements, at the cost of lower cruise altitude and reduced cruise speed as compared to the Dash 8-300. Furthermore, a higher rated FCS is required to achieve the climb performance required for the typical climb profile of the Dash 8-300.
Comparative Survey Analysis of Mandatory COVID-19 Vaccination Attitudes and Self-Vaccination Status Among Physicians, Nurses, Allied Healthcare Providers, and Non-Healthcare Workers
Authors: Johnson Calvin , Pollock Gabe , Kissen Mike
Published: December 2024

Abstract
Significance: This survey represents the most comprehensive analysis conducted to date on COVID-19 vaccination attitudes. The findings will contribute to public education, inform CDC policies, and help overcome vaccine hesitancy across diverse demographic groups.

Background:
This research focuses on comparing attitudes toward mandatory COVID-19 vaccination, pediatric vaccination, pregnancy vaccination, and self-vaccination status across professional groups, including physicians, nurses, allied healthcare providers, and non-healthcare workers. Factors such as race, gender, age, time zone, religious beliefs, parental status, and long COVID disease were also analyzed. A Survey analysis of 48 studies provided additional context, and findings from May 2023 to August 2024 highlighted the progress in vaccination rates.

Methods:
A cross-sectional survey (n = 24,794) was conducted between May 2021 and July 2023, focusing on mandatory vaccination for adults, children, and pregnant women. The survey results were compared with Review of Surveys of 48 studies. Logistic regression and chi-square tests were used for statistical analysis, with P-values < 0.05 indicating significance.

Results:
Physicians exhibited the highest support for mandatory vaccination (85%), while non-healthcare workers showed the lowest support (50%) (p < 0.001) [1,2]. Significant differences were observed in attitudes based on race, gender, religious beliefs, and parental status (p < 0.001). The corroborated these findings, revealing consistent disparities across these demographic variables. From May 2023 to August 2024, notable improvements in vaccination rates, especially among non-healthcare workers and racial minorities, were observed [3,4].

Conclusions:
While healthcare professionals show higher vaccination rates and support for mandatory policies, non-healthcare workers and minority groups require targeted interventions to overcome vaccine hesitancy. Future efforts should focus on maintaining vaccination momentum, addressing misinformation, and improving access.
Smart Machine Vision System to Improve Decision-Maker on the Assembly Line
Authors: Silva Carlos Americo de Souza , Paladini Edson Pacheco
Published: December 2024

Technological advances for the production of Printed Circuit Boards (PCBs) are increasingly and increasing the number of components inserted on the surface, leading the electronics industry to seek improvements in their inspection processes, making it often necessary to increase the level of automation on the production line, the use of machine vision in quality inspection within the manufacturing processes, has increasingly collaborated in decision-making to approve or reject products outside the established quality standards. This article proposes developing a hybrid industrial vision system with machine vision and vision sensors to verify 24 components and 7 screw threads. This research aims to use machine vision to increase inspection reliability in an automated way and reduce non-conformity rates in the manufacturing process on the assembly line of automotive products.
Variation in cone and seed productions of Cedrus libani A. Rich. populations
Authors: Bilir Nebi , Novikov Arthur I. , Novikova Tatyana P.
Published: December 2024

Reproductive characteristics are important tools for sustainable forestry and to transmit of present gene diversity to future generations by forestry practices. Knowledge and estimation of fertility variation and its linkage parameters such as population size, gene diversity in seed crop calculated by reproductive traits is used widely because of its many advantages. Estimation of these parameters are used for many purposes in forestry practices (i.e., natural regenerations, establishment and management of seed sources). In this study, cone and seed production and their effect on fertility variation were examined in two natural populations sampled at southern part of Türkiye of Taurus cedar (Cedrus libani A. Rich.). Numbers of mature cone which of two-years, and filled seed were counted from fifty trees selected phenotypic of each population in 2023. The averages of cone and seed number were 90 and 33, and 5321 and 3115 per tree, respectively. Among individual trees within population, and between populations showed large differences for the cone and seed productions. Percentage of filled seed were 94% and 83% in the populations. There were significant differences (p<0.05) between populations for the productions and percentage of filled seeds according to results of analysis of variance. Estimated fertility variations (Ψ<2) were well accordance with target (Ψ<3). Effective number of parents was ranged from 30.1 (60% of number of individuals) to 41.4 (83%). Besides, data sets can be used to fill the FLR-Library.
Single-Cell RNA Sequencing Reveals LEF1-Driven Wnt Pathway Activation as a Shared Oncogenic Program in Hepatoblastoma and Medulloblastoma
Authors: Desterke Christophe , Fu Yuanji , Bonifacio-Mundaca Jenny , Monge Claudia , Pineau Pascal , Mata-Garrido Jorge , Francés Raquel
Published: December 2024

(1) Background: Hepatoblastoma and medulloblastoma are two types of pediatric tumors with embryonic origins. Both tumor types can exhibit genetic alterations that affect beta-catenin and Wnt pathway; (2) Materials and Methods: This study used bioinformatics and integrative analysis of multi-omics data at both the tumor and single-cell levels to investigate these two distinct pediatric tumors: medulloblastoma and hepatoblastoma; (3) Results: Cross-transcriptome analysis revealed a commonly regulated expression signature between hepatoblastoma and medulloblastoma tumors. Among the commonly upregulated genes, the transcription factor LEF1 was significantly expressed in both tumor types. In medulloblastoma, LEF1 upregulation is associated with the WNT-subtype. Analysis of LEF1 genome binding occupancy in H1 embryonic stem cells identified 141 LEF1 proximal targets activated in WNT-medulloblastoma, 13 of which are involved in Wnt pathway regulation: RNF43, LEF1, NKD1, AXIN2, DKK4, DKK1, LGR6, FGFR2, NXN, TCF7L1, STK3, YAP1, and NFATC4. An expression score based on these 13 WNT-LEF1 targets accurately predicted the WNT-subtype in two independent medulloblastoma transcriptome cohorts. At the single-cell level, the WNT-LEF1 expression score was exclusively positive in WNT-medulloblastoma tumor cells. This WNT-LEF1-dependent signature was also confirmed as activated in the hepatoblastoma tumor transcriptome. At the single-cell level, the WNT-LEF1 expression score was higher in tumor cells from both human hepatoblastoma samples and a hepatoblastoma patient-derived xenotransplant model; (4) Discussion: This study uncovered a shared transcriptional activation of a LEF1-dependent embryonic program, which orchestrates the regulation of the Wnt signaling pathway in tumor cells from both hepatoblastoma and medulloblastoma.