bluuebunny/crossref_metadata_2025 huggingface dataset:
Blood Neurofilament Light Chain and Phospho-Tau 181 in Subjects with Mild Cognitive Impairment Due to Age-Related Hearing Loss
Authors: Alberti Giuseppe , Portelli Daniele , Polito Francesca , Graceffa Anita , Licitri Laura , Loteta Sabrina , Torre Margherita Maria , Gasparo Irene , Rizzo Vincenzo , Aguennouz M’hammed , Macaione Vincenzo
Published: January 2025

Background: Mild cognitive impairment is increasingly recognized as a precursor to more severe neurodegenerative conditions, particularly in the context of aging. Recent studies have highlighted the intersection of hearing loss and cognitive decline, suggesting that auditory deficits may exacerbate cognitive impairments in older adults, proposing the use of hearing aids to mitigate cognitive decline, and indicating that early intervention in hearing loss could be crucial for preserving cognitive function. The underlying mechanisms of the relationship between hearing and cognitive impairment may involve neuroinflammatory processes and neurodegeneration. Recent studies have evidenced the role of tau proteins and neurofilaments as biomarkers in the onset and progression of neurodegenerative diseases. Methods: We selected 30 subjects with age-related hearing loss, and we evaluated their cognitive status through the administration of screening tests, which also measured neurofilament light chain and phospho-tau 181 serum levels as biomarkers of neurodegeneration. The subjects were re-evaluated six months after the hearing aid fitting. Results: Patients with hearing impairment presented slightly altered results on cognitive tests, typical of a mild cognitive impairment. At the same time, serum levels of neurofilament light chain and phospho-tau 181 were significantly increased compared to the matched control group. After the hearing aids fitting, auditory, cognitive, and serum values results improved. Conclusions: The results of the study highlight the cognitive involvement in patients with hearing impairment and identify neurofilament light chain and phospho-tau 181 as serum biomarkers of neurodegeneration useful in monitoring the pathology.
The Role of Parental Education, Intelligence, and Personality on the Cognitive Abilities of Gifted Children
Authors: Pezzuti Lina , Farese Morena , Dawe James , Lauriola Marco
Published: January 2025

Several studies have indicated that parental education predicts children’s intelligence. In contrast, fewer studies have simultaneously analyzed the role of parental intelligence, education, and personality in shaping their children’s giftedness. This study investigated the effects of parental education, cognitive abilities (based on CHC theory), and personality traits (based on the Five-Factor Model) on the expression of gifted children’s cognitive abilities. Sixty-five gifted children (IQ ≥ 120) aged 6 to 14 years (M = 9.91 years; SD = 2.24 years) were assessed using the WISC-IV, while parents (65 mothers, M = 44.00 years; SD = 4.20 years, and 61 fathers, M = 45.70 years; SD = 5.40 years) completed the WAIS-IV and the Big-Five Inventory. The results indicated that maternal education was a key predictor of children’s Verbal Comprehension Index (VCI) in bivariate analyses, though its effect was not robust in multivariate models. Children’s Perceptual Reasoning Index (PRI) was associated with maternal conscientiousness, and fathers’ short-term memory (Gsm) emerged as the primary predictor of children’s Working Memory Index (WMI). Maternal processing speed (Gs) was the strongest predictor of children’s Processing Speed Index (PSI) across both bivariate and multivariate analyses. While personality traits, such as maternal conscientiousness, played a role in facilitating visual-spatial reasoning, their effects were weaker compared to cognitive and educational factors. The findings obtained, which are only partly consistent with data in the literature, highlight the domain-specific influence of parental characteristics on children’s giftedness and underscore the need for further research into the interplay of genetic, cognitive, and environmental factors.
Ring Beam Modulation-Assisted Laser Welding on Dissimilar Materials for Automotive Battery
Authors: Choi Se-Hoon , Kim Jong-Hyun , Choi Hae-Woon
Published: January 2025

This paper investigates Ring Beam Modulation-assisted Laser (RBML) welding as a novel approach for joining dissimilar materials, specifically aluminum and copper, which are essential in high-performance applications such as electric vehicle batteries and aerospace components. The study aims to address challenges such as thermal mismatches, brittle intermetallic compounds, and structural defects that hinder traditional welding methods. The research combines experimental and computational analyses to evaluate the impact of heat input distributions and laser modulation parameters on weld quality and strength. Three welding cases are compared: fixed center beam with variable ring beam outputs, variable center beam with fixed ring outputs, and a wobble-mode beam to enhance interfacial bonding. Computational modeling supports the optimization process by simulating heat flows and material responses, exploring various shape factors, and guiding parameter selection. Key findings include a nonlinear relationship between heat input and welding strength across the cases. Case 1 demonstrates improved weld strength with higher ring beam input, while Case 2 achieves excellent reliability with relatively lower inputs. Case 3 introduces wobble welding, yielding superior resolution and consistent weld quality. These results confirm that precise ring beam modulation enhances weld reliability, minimizes thermal distortions, and optimizes energy consumption. The manuscript advances the state of knowledge in laser welding technology by demonstrating a scalable, energy-efficient method for joining dissimilar materials. This contribution supports the fabrication of lightweight, high-reliability assemblies, paving the way for innovative applications in the automotive, medical, aerospace, and shipbuilding industries.
Optimized Bi-LSTM Model for Short-Term Predicting of Ship State with Definitions of Surf-Riding and Broaching
Authors: Du Yunlong , Cui Meng , Xu Jinya , Hong Zhichao , Gong Jiaye
Published: January 2025

This paper introduces a hybrid prediction method that combines the Bi-LSTM neural network with definitions of surf-riding, wave-blocking and broaching to enhance the safety and stability of ship navigation. The hybrid method can accurately predict ships’ attitude motions and states by recognizing ship states and encoding them into one-hot representations. The Bi-LSTM model’s bidirectional learning capability captures significant temporal dependencies, enabling precise and timely predictions of complex maritime events across various conditions. Additionally, the direct output approach of state features improves prediction accuracy by eliminating intermediate steps, allowing for the better anticipation of and response to critical events. Validated with ship navigation data from autopilot simulations in wave conditions, the hybrid method outperforms conventional methods based on LSTM and Bi-LSTM models, demonstrating strong generalization capabilities and significantly contributing to safer and more stable ship navigation.
Four New or Newly Recorded Species from Freshwater Habitats in Jiangxi Province, China
Authors: Xu Chen-Yu , Song Hai-Yan , Zhou Jian-Ping , Zhai Zhi-Jun , Cui Chao-Yu , Hu Dian-Ming
Published: January 2025

Freshwater fungi consist of a highly diverse group of organisms in freshwater habitats worldwide. During a survey of fungal diversity in freshwater habitats across different regions of Jiangxi Province, China, four freshwater fungi were collected. To study their phylogenetic relationships, the internal transcribed spacer (ITS1-5.8S-ITS2), large subunit (28S, LSU), small subunit (18S, SSU), and RNA polymerase II subunit (RPB2) genes were selected for phylogenetic analyses. Based on morphology coupled with phylogenetic analysis, these strains were confirmed to belong to Phaeoisaria, Pleurothecium, and Pseudodactylaria. Among them, three fungi were confirmed as the new species, namely, Pleurothecium lignicola (Pleurotheciaceae), Pseudodactylaria jiangxiensis (Pseudodactylariaceae), and Ps. lignicola (Pseudodactylariaceae). One species was identified as Phaeoisaria filiformis (Pleurotheciaceae), a new record of this species in China. All species were compared with other similar species, and detailed descriptions, illustrations, and phylogenetic data were provided.
Strabismus and Strabismus Surgery in the U.S. Veterans Health Administration: Foundational Analyses of Electronic Health Record Data from 2000 to 2022
Authors: Lillvis John H. , Feehan Michael , Shwani Treefa , Millen Amy E. , Wilding Gregory E. , Allison Karen M. , Owen Leah A. , DeAngelis Margaret M.
Published: January 2025

Background/Objectives: Strabismus, or eye misalignment, has not been well-described in U.S. military Veterans. This study was undertaken to characterize Veterans with a strabismus diagnosis as well as those who underwent strabismus surgery. Methods: A retrospective analysis of electronic health records (EHR) from the Veterans Health Administration (VHA) was conducted using patient data from 2000 to 2022. VHA-enrolled Veterans ≥ 18 years with strabismus-related International Classification of Diseases (ICD) codes and/or Current Procedural Terminology (CPT) codes were identified. Total and demographic (age group, sex, race, and ethnicity) stratified prevalence and incidence rates were calculated, as well as sex-stratified residual lifetime risk. Results: A total of 321,639 patients had a strabismus diagnosis, with most (320,107) identified by ICD code (CPT code only = 1532). The peak prevalence was 2.29% in the 2022 VHA fiscal year (1 October 2021 to 30 September 2022) with a median annual age-adjusted incidence rate of 168.9/100 000 enrollees. Age-adjusted lifetime risk was 10.19% for males and 11.03% for females. Significant differences by age group, sex, race, and ethnicity were identified for strabismus prevalence (p < 0.001), strabismus diagnosis types (p < 0.001), and between patients with strabismus who either did or did not have surgery (sex p < 0.05, all others p < 0.001). Compared with other U.S. adult populations, VHA Veterans have similar or higher prevalence, annual incidence rates, and lifetime risk of a strabismus diagnosis, with demographic factors significantly affecting the rates and types of strabismus. Notably, despite lower prevalence and incidence than other racial groups, a higher percentage of African American patients with strabismus underwent surgery, contrasting with published Medicare data. Inconsistencies between ICD and CPT codes highlight potential miscoding and/or missing codes, with reliance on ICD code diagnoses potentially underestimating strabismus prevalence. Conclusions: Further characterization of factors affecting strabismus risk among these patients may help improve strabismus diagnosis and management for many US Veterans. This foundational study serves as a platform for detailed predictive analyses in determining risk outcomes for individuals. This includes better identification of at-risk individuals, informing effective resource allocation for treatment.
Suburban Landscape and Public Housing: The Post-Occupancy Evaluation as a Tool for Built Environment Regeneration: A Case Study in the City of Naples, Italy
Authors: Borriello Luca , Forte Fabiana , Russo Yvonne , Scardapane Silvia
Published: January 2025

The European Landscape Convention (ELC) acknowledges that the landscape is an important part of the quality of life for people everywhere, in urban areas and the countryside, in degraded areas as well as higher quality areas and recognized as being of outstanding beauty, as well as in everyday areas. Nowadays, many suburbs, arisen as public housing neighborhoods and originally located in peri-urban areas, in addition to constituting a substantial part of the built heritage, are increasingly being configured as new strategic areas, redefining the daily landscape of its users. With the post-occupancy evaluation method (POE), it is possible to assess several aspects of the performance of buildings or open spaces from the users’ perspective, taking into consideration objective and subjective factors. It is a multi-method approach, combining interviews, customer satisfaction surveys, behavioral observation, etc. With this perspective, the article, dealing with the ‘Parco dei Murales’, which is a complex of public housing localized in the Ponticelli suburb in the city of Naples (Italy), aims to understand the visual and qualitative perception of the suburban landscape in the light of the transformation processes that have occurred in recent years. For this purpose, starting from the results of the first application of a user satisfaction survey, the post occupancy evaluation has been applied, analyzing the functional, social, and perceptual attributes of the open spaces of the park.
Advancing Knowledge of Wetland Vegetation for Plant Diversity Conservation: The Case of Small Lakes, Ponds, and Pools in Maremma (Southern Tuscany, Central Italy)
Authors: Lastrucci Lorenzo , Selvi Federico , Bajona Enrico , Sforzi Andrea , Siccardi Eugenia , Viciani Daniele
Published: January 2025

Wetlands are among the world’s valuable ecosystems for biodiversity conservation, but they are also among the most threatened habitats, heavily impacted by human pressures and threats. The Mediterranean basin features numerous small lakes, ponds, and pools, whose number and quality are decreasing at an alarming rate, and whose biodiversity is often little or not at all known. As a better knowledge of the biotic components of these minor water bodies is necessary, with this aim a phytosociological survey campaign was carried out in southern Tuscany (central Italy), an area where little information is available on the vegetation of aquatic and palustrine biotopes. Numerous previously unknown water bodies were located and surveyed in this work, while others already known were resurveyed. These investigations allowed us to identify 28 plant communities which can be classified into seven syntaxonomic classes. A new subassociation (Ranunculo ophioglossifolii-Callitrichetum stagnalis subass. ranunculetosum peltati) is described. The identification of the site-associated Natura2000 habitats led to the recognition of five habitats of conservation interest at the national and European level. The results of these investigations will improve the knowledge of the flora and vegetation of these small but valuable natural areas, providing a basis for their conservation.
Artificial Intelligence in the Surgery-First Approach: Harnessing Deep Learning for Enhanced Condylar Reshaping Analysis: A Retrospective Study
Authors: Committeri Umberto , Monarchi Gabriele , Gilli Massimiliano , Caso Angela Rosa , Sacchi Federica , Abbate Vincenzo , Troise Stefania , Consorti Giuseppe , Giovacchini Francesco , Mitro Valeria , Balercia Paolo , Tullio Antonio
Published: January 2025

Background: The surgery-first approach (SFA) in orthognathic surgery eliminates the need for pre-surgical orthodontic treatment, significantly reducing overall treatment time. However, reliance on a compromised occlusion introduces risks of condylar displacement and remodeling. This study employs artificial intelligence (AI) and deep learning to analyze condylar behavior, comparing the outcomes of SFA to the traditional surgery-late approach (SLA). Methods: A retrospective analysis was conducted on 77 patients (18 SFA and 59 SLA) treated at Perugia Hospital between 2016 and 2022. Preoperative (T0) and 12-month postoperative (T1) cone-beam computed tomography (CBCT) scans were analyzed using the 3D Slicer software and its Dental Segmentator extension, powered by a convolutional neural network (CNN). This automated approach reduced segmentation time from 7 h to 5 min. Pre- and postoperative 3D models were compared to assess linear and rotational deviations in condylar morphology, stratified via dentoskeletal classification and surgical techniques. Results: Both the SFA and SLA achieved high surgical accuracy (<2 mm linear deviation and <2° rotational deviation). The SFA and SLA exhibited similar rates of condylar surface remodeling, with minor differences in resorption and formation across dentoskeletal classifications. Mean surface changes were 0.41 mm (SFA) and 0.36 mm (SLA, p < 0.05). Conclusions: Deep learning enables rapid, precise CBCT analysis and shows promise for the early detection of condylar changes. The SFA does not increase adverse effects on condylar morphology compared to SLA, supporting its safety and efficacy when integrated with AI technologies.
Research on the High-Temperature Stability of Twin-Screw Desulphurised Rubber Powder Composite SBS-Modified Asphalt and Its Mixtures
Authors: Li Dongna , Wang Yongning , Zhao Jingzhuo , Guo Fucheng , Li Bo , Yao Tengfei
Published: January 2025

To analyse the differences in the high-temperature performance of twin-screw desulphurised rubber powder/undesulphurised rubber powder composite SBS-modified asphalt and its mixes. This paper analyses the performance differences between desulphurised rubber powder composite SBS-modified asphalt (ACR/SBS), rubber powder composite SBS-modified asphalt (CR/SBS) and SBS-modified asphalt and their mixtures by multi-stress repeated creep recovery (MSCR) and submerged Hamburg rutting tests. In addition, fluorescence microscopy was used to reveal the micro-mechanisms underlying the differences in the high-temperature performance of the three asphalts. The results show that the twin-screw desulphurisation of rubber powder can significantly improve the high-temperature performance and water damage resistance of its composite-modified asphalt and mixture. The rutting depth of ACR/SBS-MA mixes was one-third and one-thirteenth of CR/SBS-MA mixes and SBS-MA mixes, respectively, under the hydrothermal coupling condition at 80 °C. The cross-linking bonds were opened during the twin-screw desulphurisation process to form a stable cross-linking network structure with SBS. The research of this thesis can lay theoretical and technical support for the promotion and application of desulphurised rubber-modified asphalt.
Curvature Control for Plane Curves
Authors: Karakus Fatma , Pripoae Cristina-Liliana , Pripoae Gabriel-Teodor
Published: January 2025

We define a family of special functions (the CSI ones), which can be used to write any parameterized plane curve with polynomial curvature explicitly. These special functions generalize the Fresnel integrals, and may have an interest in their own right. We prove that any plane curve with polynomial curvature is asymptotically a pseudo-spiral. Using the CSI functions, we can approximate, locally, any plane curve; this approach provides a useful criterion for a (local) classification of plane curves. In addition, we present a new algorithm for finding an arc-length parametrization for any curve, within a prescribed degree of approximation.
Computably Enumerable Semisimple Rings
Authors: Wu Huishan
Published: January 2025

The theory of semisimple rings plays a fundamental role in noncommutative algebra. We study the complexity of the problem of semisimple rings using the tools of computability theory. Following the general idea of computably enumerable (c.e. for short) universal algebras, we define a c.e. ring as the quotient ring of a computable ring modulo a c.e. congruence relation and view such rings as structures in the language of rings, together with a binary relation. We formalize the problem of being semisimple for a c.e. ring by the corresponding index set and prove that the index set of c.e. semisimple rings is Σ30-complete. This reveals that the complexity of the definability of c.e. semisimple rings lies exactly in the Σ30 of the arithmetic hierarchy. As applications of the complexity results on semisimple rings, we also obtain the optimal complexity results on other closely connected classes of rings, such as the small class of finite direct products of fields and the more general class of semiperfect rings.
Prediction of Projectile Interception Point and Interception Time Based on Harris Hawk Optimization–Convolutional Neural Network–Support Vector Regression Algorithm
Authors: Gao Zhanpeng , Yi Wenjun
Published: January 2025

In modern warfare, the accurate prediction of the intercept time and intercept point of the interceptor is the key to achieving penetration. Aiming at this problem, firstly, a convolutional neural network (CNN) is used to automatically extract high-level features from the data, and then these features are used as the input of support vector regression (SVR) for regression prediction. The Harris Hawk optimization (HHO) is used to optimize the hyperparameters of SVR, and the HHO-CNN-SVR algorithm is proposed. In order to verify the effectiveness of the algorithm for the prediction of the interception point and interception time, this paper constructs a dataset to test the method of simulating the missile interception maneuvering target. Compared with BP, ELM, SVR, HHO-SVR, and CNN-SVR models, the HHO-CNN-SVR model has outstanding performance in prediction accuracy and stability, especially for the interception time. The error is the smallest, and the error fluctuation is small. The MAE of the prediction result is only 0.0139 s; in the interception point prediction, the error of the range and elevation direction is significantly lower than that of the models used for comparison. The MAE in the range direction is 2.3 m, and the MAE in the elevation direction is 2.01 m, which meet the engineering requirements. The HHO-CNN-SVR model has strong prediction accuracy and stability in interception time and interception point prediction. In addition, different control strategies are used to construct a new prediction set, and noise is added to the prediction set. The HHO-CNN-SVR algorithm can maintain good prediction results. The results show that the HHO-CNN-SVR model proposed in this paper has strong generalization ability and high robustness, which can provide reliable support for penetration decision making and defense system optimization.
Effect of a Healing Program Using Marine Resources on Reducing Pain and Improving Physical Function in Patients with Non-Specific Chronic Low Back Pain: A Randomized Controlled Trial Study
Authors: Baek Ji-Eun , Kim Sung-Hyeon , Shin Ho-Jin , Cho Hwi-Young
Published: January 2025

Background and Objectives: Chronic low back pain is a widespread condition, particularly in older populations, contributing to physical, mental, and social burdens. Traditional treatments, such as medications and surgery, carry long-term risks, including dependency, side-effects, and complications from invasive procedures. Additionally, healthcare accessibility is limited due to high costs, long waiting times, and geographic disparities in healthcare services, particularly in rural areas. For these reasons, non-pharmacological approaches that address both physical and psychological aspects are increasingly recognized as effective. This study aimed to evaluate the effectiveness of a marine resource-based healing program in Taean, South Korea, in improving pain, physical function, and mental health in patients with non-specific chronic low back pain. Materials and Methods: This randomized controlled trial involved 46 participants with non-specific chronic low back pain (mean age, 68.7 ± 5.1 years), randomly allocated to either an experimental group (marine healing program) or a control group (core exercises). The experimental group participated in a 4-night, 5-day intervention comprising heated peat pack therapy, mindfulness meditation, core exercises, and local tourism. The control group performed core exercises without additional interventions. Key outcomes included pain, muscle properties, functional disability, lower extremity function, balance, gait, and depression. Results: The experimental group demonstrated significant reductions in resting pain (p < 0.001), improved pressure pain threshold at L3 (p < 0.001), decreased L3 muscle tone (p = 0.015), and improved functional disability scores (p < 0.001). Functional gains were observed in lower extremity function scores (p < 0.001), balance (sway area: p = 0.046), gait velocity (p < 0.001), and depression levels (p < 0.001). Conclusions: The marine healing program significantly improved pain, functional abilities, and mental well-being in patients with non-specific chronic low back pain, highlighting its potential as an integrative approach to chronic low back pain management. Further studies are recommended to explore long-term and generalized effects.
Corrosion Behavior and Microhardness of a New B4C Ceramic Doped with 3% Volume High-Entropy Alloy in an Aggressive Environment
Authors: Rico-Cano Alberto Daniel , Mirza-Rosca Julia Claudia , Ocak Burak Cagri , Goller Gultekin
Published: January 2025

The aim of this paper is to study both the mechanical and chemical properties of a new material composed of B4C doped with 3% volume of CoCrFeNiMo HEA by the spark plasma sintering technique. Scanning electron microscopy and microhardness were used to characterize the composite microstructure and hardness. Corrosion behavior was studied by corrosion potential, corrosion rate and electrochemical impedance spectroscopy, where the equivalent circuit was obtained, characterized by the presence of the Warburg element. The addition of HEA resulted in a more compact microstructure, filling pores and inhibiting ceramic grain growth. A microhardness statistical analysis revealed that the sample followed a normal distribution, which suggests that the sample has a homogeneous structure. The doped material exhibits excellent corrosion resistance in artificial seawater, where its chemical interaction occurs in two steps, with an important diffusional component. This study highlights the potential for use in environments where both corrosion resistance and mechanical strength are critical factors.
Recent Developments in Heavy Metals Detection: Modified Electrodes, Pretreatment Methods, Prediction Models and Algorithms
Authors: Shi Yujie , Zhang Shijie , Zhou Hang , Dong Yue , Liu Gang , Ye Wenshuai , He Renjie , Zhao Guo
Published: January 2025

Heavy metal pollution has become an increasingly serious environmental issue, making the detection of heavy metals essential for safeguarding public health and the environment. This review aims to highlight the commonly used methods for detecting heavy metals (such as atomic absorption spectroscopy (AAS), atomic emission spectroscopy (AES), inductively coupled plasma–mass spectrometry (ICP-MS), square-wave anodic stripping voltammetry (SWASV), etc.), with a particular focus on electrochemical detection and electrode modification materials. Metal nanomaterials (such as titanium dioxide (TiO2), copper oxide (CuO), ZIF-8, MXene, etc.) are emphasized as promising candidates for enhancing the performance of sensors due to their high surface area and excellent catalytic properties. However, challenges such as interference from non-target heavy metal ions and the formation of organometallic complexes with organic compounds can complicate the detection process. To address these issues, two potential solutions have been proposed: the development of advanced algorithms (such as machine learning (ML), back-propagation neural network (BPNN), support vector machines (SVM), random forests (RF), etc.) for signal processing and the use of pretreatment methods (such as Fenton oxidation (FO), ozone oxidation, and photochemical oxidation) to suppress such interferences. This paper aims to review commonly used methods for detecting heavy metals, with a particular emphasis on electrochemical techniques. It will also highlight the challenges faced in these methods, such as interference and sensitivity limitations, and propose innovative solutions, including the use of metal nanomaterials for improved sensor performance and the integration of advanced algorithms and pretreatment techniques to address interference and enhance detection accuracy.
Laser Welding Technology
Authors: Gao Xiangdong
Published: January 2025

Laser welding technology, recognized for its advantages such as its fast welding speed, high productivity, and energy concentration, is widely used in the industrial manufacturing field [...]
Solidification and Casting of Metals and Alloys
Authors: Yang Wenchao
Published: January 2025

Establishing control of the cast structure is the underlying object of solidification metallurgy [...]
A Study on the Effect of Ladle Structures and Stirrer Positions on the Internal Flow Field in the Hot Metal Desulfurization Process
Authors: Wang Lifei , Yu Qingchun , Yin Shubiao , Wang Guozhi , Zhang Songlai
Published: January 2025

The geometry of the ladle bottom and the position of stirring paddles during hot metal stirring significantly influence hydrodynamic characteristics, thereby affecting desulfurization efficiency. Water model experiments and hydrodynamic simulations were conducted to investigate the effects of ladle structures and stirrer positions on the flow field and mixing characteristics in hot metal desulfurization. The results indicate that ladles with a spherical-bottom structure effectively reduced the “dead zone” volume in the hot metal flow. In the water model tests, the mixing time for the spherical-bottom ladle was reduced by 22.5% and 20% at different stirring paddle speeds compared to the flat-bottom ladle, facilitating the better dispersion of the desulfurization agents. The hot metal flow velocities in all directions were also superior in spherical-bottom ladles. Under identical conditions, eccentric stirring generated shallower and broader vortices, with the vortex center offset from the stirring shaft axis, thereby minimizing the risk of “air entrainment” associated with high-speed central stirring. During eccentric stirring, the flow-field distribution was uneven, and the polarization of the stirrer was observed in the water model, whereas central stirring revealed a more uniform and stable flow field, reducing the risk of paddle wear and ladle wall erosion. Central stirring exhibits distinct advantages in the desulfurization process, whereas eccentric stirring is exclusively applicable to metallurgical modes requiring a rapid enhancement of bottom flow and localized rapid dispersion of desulfurizing agents.
The Antimicrobial Effects of Coffee and By-Products and Their Potential Applications in Healthcare and Agricultural Sectors: A State-of-Art Review
Authors: Castro-Díaz Rosa , Silva-Beltrán Norma Patricia , Gámez-Meza Nohemi , Calderón Kadiya
Published: January 2025

Coffee is one of the most consumed beverages around the world. Its production is dominated by the species Coffea arabica and Coffea canephora. However, the coffee elaboration process leads to generating a significant amount of waste, which arises in various stages of coffee bean processing and is rich in natural bioactive compounds such as phenolic compounds and alkaloids. Particularly, chlorogenic and caffeic acids have a high antimicrobial potential and have been demonstrated to be effective against bacteria and viruses of healthcare and food relevance, including multi-resistant pathogens. However, the production and accumulation of coffee waste have a negative environmental impact since they can contaminate the surrounding environment due to the presence of organic molecules such as caffeine and tannins. In this context, exploiting natural resources as a source of compounds with the antimicrobial potential of, for example, the bioactive compounds obtained from coffee, has been evaluated in previous works. This review aims to summarize the current knowledge on the antimicrobial properties of coffee and its by-products and their potential application in the healthcare sector and disease control in agricultural crops, with particular emphasis on improving sustainability and efficiency in agriculture through making use of waste, which carries high importance in today’s society.
Screening and Comparative Genomics of Probiotic Lactic Acid Bacteria from Bee Bread of Apis Cerana: Influence of Stevia and Stevioside on Bacterial Cell Growth and the Potential of Fermented Stevia as an Antidiabetic, Antioxidant, and Antifungal Agent
Authors: Basharat Samra , Zhai Lixin , Jiang Fuyao , Asjad Tanzila , Khan Adil , Liao Xiangru
Published: January 2025

The purpose of this research is to identify and characterize lactic acid bacteria (LAB) species in bee bread produced by honey bees (Apis Cerana) in the east mountain area of Suzhou, China. We isolated three strains, Apilactobacillus kunkeei (S1), Lactiplantibacillus plantarum (S2), and Lacticaseibacillus pentosus (S3), with S2 producing the highest amount of lactic acid. Phylogenetic analysis indicated that these isolates, along with the type strain, formed a distinct sub-cluster within the LAB group. The strains exhibited non-hemolytic activity, lacked functional virulence factors, demonstrated high acid and bile tolerance, strong adhesion to intestinal cells, and antimicrobial activity against pathogens, collectively indicating their safety and high probiotic potential for therapeutic applications. Our studies demonstrated that S2 and S3 grew well in the presence of stevia leaf powder and steviosides, while S1 showed reduced growth and inhibitory effects. Importantly, the stevia-fermented strains exhibited strong probiotic potential along with significant antidiabetic, antioxidant, and antifungal properties in vitro. These findings highlight their potential applications in the food, feed, and pharmaceutical industries. Future research should focus on in vivo experiments to validate these results and evaluate compatibility among the strains before their application in functional foods.
Need of Treatment Modification During Entecavir Therapy in Patients with Chronic Hepatitis B: Long-Term Follow-Up Results for 120 Months
Authors: Kim Hae Rim , Kang Seong Hee , Yim Hyung Joon , Suh Sang Jun , Jung Young Kul , Kim Ji Hoon , Seo Yeon Seok , Yeon Jong Eun , Byun Kwan Soo
Published: January 2025

Entecavir (ETV) may have limited antiviral efficacy in chronic hepatitis B (CHB) patients with a high baseline viral load, especially in cases of partial virologic response (PVR). This study evaluated the outcomes of prolonged ETV monotherapy, given the lack of clear evidence favoring continuation or combination therapy in such scenarios. We included 188 treatment-naïve patients on ETV 0.5 mg and compared antiviral responses between high viral load (HVL, ≥7 log10 IU/mL) and non-HVL groups for over up to 120 months in this study. Compared to the non-HVL group, the HVL group exhibited a lower cumulative virologic response (VR, <20 IU/mL) during the 10-year therapy period (p < 0.01). Antiviral resistance to entecavir (rtS202G + rtM204V + rtL180M) developed in three out of 90 patients in the HVL group. Patients with complete response at 6 months had a 100% likelihood of achieving VR, while 83.9% of patients with PVR at 6 months achieved VR by month 120 (p < 0.01). Multivariate analysis revealed that baseline HVL was a significant predictor of long-term VR at 120 months. In conclusion, CHB patients with baseline HVL and PVR at 6 months are prone to ETV resistance and inadequate response, warranting a modification in treatment strategy.
Advancing Understanding of Escherichia coli Pathogenicity in Preterm Neonatal Sepsis
Authors: Villavicencio-Carrisoza Oscar , Grobeisen-Duque Orly , Garcia-Correa Ana Laura , Monroy-Muñoz Irma Eloisa , Villeda-Gabriel Graciela , Sosa-González Irma Elena , Flores-Herrera Hector , Figueroa-Damian Ricardo , Cerna-Cortes Jorge Francisco , Rivera-Gutierrez Sandra , Villegas-Mota Isabel , Zaga-Clavellina Veronica , Helguera-Repetto Addy Cecilia
Published: January 2025

Neonatal sepsis is a major cause of mortality in preterm infants, with Escherichia coli as one of the leading pathogens. Few studies have examined the interplay between virulence factors, resistance profiles, phylogroups, and clinical outcomes in this population. We analyzed 52 E. coli strains isolated from 49 preterm neonates diagnosed with sepsis at a tertiary-level hospital in Mexico. Strains underwent phylogenetic classification, virulence gene profiling, and antimicrobial resistance testing. PFGE was used to assess genetic relatedness and outbreak clusters. Clinical data were correlated with molecular findings. Phylogroups A and B2 accounted for 46% of strains. Phylogroup A exhibited notable virulence, with high prevalence of the pathogenicity island described in virulent extra-intestinal E. coli strains (PAI), aerobactin siderophore receptor AerJ (iutA), and yersiniabactin siderophore receptor (fyuA) genes, alongside significant resistance profiles. PFGE identified two dominating branches. Branch A, comprising phylogroups A and B2, displayed high resistance and was prevalent in the neonatal intensive care unit. Branch C, with phylogroups A and D, showed less multidrug resistance but was significantly associated with maternal chorioamnionitis. This study redefines E. coli pathogenicity in neonatal sepsis, highlighting the virulence of traditionally non-pathogenic phylogroups. High virulence strains were associated with more severe outcomes. These findings underscore the need for enhanced strategies in targeted prevention, improved diagnostics, and tailored treatments for high-risk preterm populations.
Effects of Comparative Killing by Pradofloxacin and Seven Other Antimicrobials Against Varying Bacterial Densities of Swine Isolates of Pasteurella multocida
Authors: Blondeau Joseph M. , Fitch Shantelle D.
Published: January 2025

Bacterial killing is important for recovering from infection. Pasteurella multocida is a key bacterial pathogen causing swine respiratory disease and is associated with substantial mortality. Antimicrobial therapy remains an important therapeutic intervention for treating infected animals. Pradofloxacin (fluoroquinolone) is the most recently approved antimicrobial agent for treating pigs with swine respiratory disease. We compared in vitro killing of swine P. multocida strains by pradofloxacin in comparison to ceftiofur, enrofloxacin, florfenicol, marbofloxacin, tildipirosin, tilmicosin, and tulathromycin over a range of bacterial densities and four clinically relevant drug concentrations. Pradofloxacin killed 92–96.9% of cells across 106–108 cfu/mL densities at the mutant prevention drug concentration following 2–24 h of drug exposure, 96.9–98.9% of cells across 106–109 cfu/mL at the maximum serum drug concentration following 30 min of drug exposure, increasing to 99.9–100% kill following 12–24 h of drug exposure. At the maximum tissue drug concentration and against bacterial densities of 106–109 cfu/mL, pradofloxacin killed 91.3–99.8% of cells following 2 h of drug exposure, which increased to 99.9–100% kill following 12–24 h of drug exposure. Pradofloxacin was rapidly bactericidal across a range of bacterial densities and at clinically relevant drug concentrations. Pradofloxacin will be an important antibiotic for treating pigs with swine respiratory disease and where clinically indicated.
Mineral Resources for the Ceramic Industry: Survey of Feldspathic Raw Materials in Italy
Authors: Dondi Michele , Conte Sonia , Molinari Chiara , Zanelli Chiara
Published: January 2025

Feldspars are essential components in the ceramic industry, and the increasing demand for high-grade fluxes has recently elevated their status as critical raw materials for the European Union. This survey aims to evaluate, for the first time, Italy’s mining potential for the production of ceramic fluxes through a methodological approach that considers lithology, technological value, degree of alteration and potential for mining exploitation. The most promising resources are identified in the Alps, the Apennines, Sardinia and the Calabro–Peloritan Arc, based on the chemical composition of rocks without any beneficiation. Key parameters include the equivalent feldspar content and the sum of Fe2O3 + TiO2. Factors that may influence the feasibility of exploitation are critically discussed for granitoids and syenites, acidic volcanics, aplites and pegmatites, albitites, felsic metamorphics, silica-saturated and silica-undersaturated volcanics, arkosic sandstones and rocks that have undergone epithermal alteration. All resources are compared with deposits currently under extraction and assessed against benchmarks or well-recognized raw materials used as market proxies. This review lays the groundwork for operational mining exploration by clearly defining Italy’s potential for feldspathic fluxes. The exploratory assessment approach to feldspathic resources can also be applied in other countries.
Mineralogy and Geochemistry of Upper Cretaceous-Pliocene Sedimentary Rocks in the Yahşihan Basin, Central Anatolia, Türkiye: Provenance and Tectonic Implications
Authors: Uyanık Sönmez Özgül , Temel Abidin , Çelik Karakaya Muazzez , Dogan-Kulahci Güllü Deniz
Published: January 2025

The Yahşihan/Kırıkkale sedimentary basin, located in Central Anatolia within the İzmir-Ankara-Erzincan suture zone, mostly consists of Upper Cretaceous to Lower Pliocene sediments developed on the Ankara Melange, which is linked to the Northern Neo-Tethys Ocean. Although the stratigraphic, sedimentological, and tectono-stratigraphic characteristics of the basin have been investigated by many researchers, its mineralogical and geochemical characteristics have not been studied extensively. In this study, the provenance, paleoclimatological properties, and tectonic structure of the sedimentary rocks were interpreted using detailed mineralogical and geochemical analysis data. Formations such as the Karadağ (Cenomanian-Campanian), Çiçekdağ (Santonian-Campanian), Samanlık (Maastrichtian), Dizilitaşlar (Paleocene-Early Eocene), Çayraz (Middle Eocene), İncik (Upper Eocene-Lower Miocene), Central Anatolia Group (Middle Miocene-Pliocene), and Quaternary alluvium were deposited in the basin. X-ray diffraction (XRD), optical microscopy, scanning electron microscopy (SEM), and geochemical analyses were employed to determine the mineralogical and chemical composition of the units. Although highly oxic paleo-environmental conditions predominated in the basin, anoxic and suboxic conditions could also be present in the Dizilitaşlar and İncik formations. The units are primarily felsic with some mafic contributions, suggesting an oceanic island arc environment with varying paleoenvironmental conditions, reflecting seasonal changes between humid and arid periods.
Conservation of Tiger Nut Tubers with Natural Biofilm Formulated with Thymus zygis Essential Oil
Authors: Santamarina M. Pilar , Giménez-Santamarina Silvia , Santamarina Cristina , Larran Silvina , Roselló Josefa
Published: January 2025

Cyperus esculentus L. var sativus is cultivated in Spain, only in the L’Horta Nord in the Valencia region. In this country, tubers are consumed fresh to make a popular beverage in the Valencia region called “horchata de chufa” (chufa milk). This drink is considered beneficial for human health thanks to its high nutritional value and medicinal importance in several treatments. This work evaluates the antifungal potential of the Thymus zygis essential oil against fungi found in tiger nut warehouses to preserve tubers under the best conditions. The analyzed commercial thyme essential oil belongs to the thymol/p-cymene/γ-terpinene chemotype. Thymol was found in larger quantities (51.34%), followed by the identified biogenetic precursors p-cymene (35.16%) and γ-terpinene (3.53%). Carvacrol also appeared, but in small quantities (3.53%). During in vitro tests, the T. zygis EO showed strong inhibition (98.85% to 91.81% MGI) against fungi Alternaria alternata, Fusarium andiyazi, Fusarium incarnatum, and Fusarium oxysporum at 300 µg/mL. It totally inhibited their growth (100% MGI) at 400 µg/mL, and did so strongly (75.94%, 72.02%, and 70.78%) with fungi Podospora australis, Penicillium commune, and Cladosporium subuliforme, respectively. Under in vivo conditions, formulated as a protective biofilm, and by forcing the environmental conditions of temperature and humidity to the maximum for fungus F. andiyazi growth on tiger nut tubers, the created film acted as a strong protector against fungal attacks.
Effect of the Number of Phenylcarbazole Units Adorned to the Silicon Atom for High Triplet Energy with High Charge Mobility
Authors: Ahn Mina , Lee Sunhee , Kim Min-Ji , Kim Jeongyoon , Lee Jina , Nam Heejun , Wee Kyung-Ryang , Han Won-Sik
Published: January 2025

Increasing the number of phenylcarbazole (PC) units attached to the silicon atom in organic solid-state thin films led to a remarkable enhancement in charge mobility. Specifically, the charge mobility values exhibited an increase from 1.32 × 10−4 cm2/Vs for 3PCBP to 4.39 × 10–4 cm2/Vs for 2MCBP, ultimately reaching 1.16 × 10–3 cm2/Vs for MCBP. Notably, these enhancements were achieved while maintaining a high triplet energy of 3.01 eV. DFT calculations on the spin density distribution provided insights into the nature of the improved mobility while preserving the triplet energy. The accuracy of the DFT calculations was validated by comparing the results with experimental data from photoemission spectroscopy (PES). Mobility measurements, as contemplated by DFT, allowed for a comprehensive understanding of the factors influencing enhanced mobility while keeping the triplet energy constant. This study suggested that intramolecular charge transfers played a crucial role in reducing reorganization energy, showing an inverse dependence on the number of PCs. Consequently, it was inferred that the manipulation of PC units could effectively optimize charge transfer mechanisms, offering a promising avenue for tailoring organic thin films with improved electronic properties.
Finite Element Analysis of Functionally Loaded Subperiosteal Implants Evaluated on a Realistic Model Reproducing Severe Atrophic Jaws
Authors: Pellegrino Gerardo , Karaban Maryia , Scalchi Veronica , Urbani Marco , Giudice Amerigo , Barausse Carlo , Felice Pietro
Published: January 2025

Implant-supported prosthetic rehabilitation for patients with severely atrophic jaws is challenging due to complex anatomical considerations and the limitations of conventional augmentation techniques. This study explores the potential of subperiosteal (juxta-osseous) implants as an alternative solution, using finite element analysis (FEA) to evaluate mechanical performance. Realistic jaw models, developed from radiographic data, are utilized to simulate various implant configurations and load scenarios. Results indicate that different screw placements, implant designs, and structural modifications can significantly influence stress distribution and biomechanical behavior. Upper and lower jaw models were assessed under multiple load conditions to determine optimal configurations. Findings suggest that strategic adjustments, such as adding posterior screws or altering implant connections, can enhance load distribution and reduce stress concentration, particularly in critical areas. Tensile loads in critical bone areas near cortical fixing screws exceeded 50 MPa under anterior loading, while configurations with larger load distributions reduced stress on both implant and bone. The study provides evidence-based insights into optimizing subperiosteal implant design to improve stability, longevity, and patient outcomes.