bluuebunny/crossref_metadata_2025 huggingface dataset:
A Network-Based Study of the Dynamics of Aβ and τ Proteins in Alzheimer’s Disease
Authors: Bianchi Stefano , Landi Germana , Marella Camilla , Tesi Maria Carla , Testa Claudia ,   on behalf of the Alzheimer’s Disease Neuroimaging Initiative
Published: December 2024

Due to the extreme complexity of Alzheimer’s disease (AD), the etiology of which is not yet known, and for which there are no known effective treatments, mathematical modeling can be very useful. Indeed, mathematical models, if deemed reliable, can be used to test medical hypotheses that could be difficult to verify directly. In this context, it is important to understand how Aβ and τ proteins, which, in abnormal aggregate conformations, are hallmarks of the disease, interact and spread. We are particularly interested, in this paper, in studying the spreading of misfolded τ. To this end, we present four different mathematical models, all on networks on which the protein evolves. The models differ in both the choice of network and diffusion operator. Through comparison with clinical data on τ concentration, which we carefully obtained with multimodal analysis techniques, we show that some models are more adequate than others to simulate the dynamics of the protein. This type of study may suggest that, when it comes to modeling certain pathologies, the choice of the mathematical setting must be made with great care if comparison with clinical data is considered decisive.
The Effectiveness of a Specific Exercise Program in Alleviating Work-Related Neck and Upper Back Pain and Improving Mood State in Various Occupational Populations—A Randomized Controlled Trial
Authors: Beneka Anastasia , Sakellari Paraskevi , Daskalaki Katerina , Malliou Paraskevi , Konstantinidis Theodoros
Published: December 2024

Background and Objectives: The COVID-19 pandemic brought significant challenges across governmental, industrial, and social systems. Additionally, numerous studies have reported a sharp increase in both mental health issues and musculoskeletal disorders worldwide. This study aimed to investigate whether a specific exercise program could alleviate neck and upper back pain symptoms and improve mood state among healthcare and office employees during the post-COVID-19 period. Materials and Methods: This was an unblinded (open label) randomized controlled trial (both the participants and the researchers knew which treatment or intervention was being administered). In total, 40 healthcare employees from a public hospital and 98 remote office employees, all of whom reported neck and upper back pain, were randomly assigned to an experimental (EG) and control group (CG). The experimental groups underwent the same exercise protocol, while their corresponding control groups underwent the assessments only. Pain assessment using the Visual Analogue Scale (VAS) and mood state using the Feeling Scale (FS) questionnaires of the participants were recorded at baseline (pre-intervention) and immediately following the exercise intervention period of 6 weeks (post-intervention). The intervention consisted of 18 exercise sessions conducted over a 6-week period, with remote office workers participating online and healthcare workers attending exercise sessions on site (at the hospital). Statistical analysis was performed using non-parametric Mann–Whitney and Wilcoxon tests, as appropriate. Results: Following the six-week intervention, the percentage of workers in the EG reporting pain decreased significantly (from 75% to 45% for healthcare workers and from 54% to 25% for office employees), whereas no change was observed for their corresponding control groups. Similarly, the mood state of the EGs significantly improved compared with the control groups, as measured between pre- and post-intervention sessions. Conclusions: The COVID-19 period exacerbated stress and musculoskeletal strain, particularly for workers in demanding occupational roles. To mitigate these effects, exercise programs that can be applied while at work should be implemented, as they are effective in enhancing mood and managing neck pain in employees with physical exertion.
Disabilities and Disparities in Oral Health-Related Quality of Life: A Systematic Review and Meta-Analysis in Saudi Arabia
Authors: Asiri Faris Yahya I. , Tennant Marc , Kruger Estie
Published: December 2024

Background and Objectives: In Saudi Arabia, persons with disabilities (PWDs) face considerable oral health challenges, including a higher prevalence of dental caries and gingival inflammation, which adversely affects their oral health-related quality of life (OHRQoL). This population experiences distinct and substantial barriers in accessing adequate dental care. This systematic review and meta-analysis aims to quantify disparities in OHRQoL between PWDs and individuals without disabilities in Saudi Arabia, focusing on caries and gingivitis prevalence, and to identify specific areas for intervention. Materials and Methods: A structured search of PubMed, Scopus, Web of Science, and Google Scholar yielded 803 articles, of which seven met the inclusion criteria. These studies reported on OHRQoL and oral health outcomes in populations with autism, Down syndrome, cerebral palsy, and hearing impairments. Data on caries rates, gingival health, and self- or caregiver-reported quality of life were extracted and analysed. Results: PWDs in Saudi Arabia exhibit significantly higher caries prevalence (ranging from 60% to over 80%) and moderate-to-severe gingival inflammation (up to 60%) compared to individuals without disabilities. The caregivers of children with disabilities reported heightened stress levels, and PWDs experienced reduced functional and social well-being. These disparities were compounded by limited preventive care access and high unmet treatment needs, particularly among those with severe disabilities and limited caregiver support. Conclusions: PWDs in Saudi Arabia face marked oral health disparities, with notably higher rates of dental caries and gingivitis, severely impacting their quality of life. The findings underscore the need for targeted oral health policies and community-based interventions to enhance care accessibility, promote preventive measures, and address the unique needs of this vulnerable population.
The Impact of Point-of-Care Ultrasound on the Diagnosis and Management of Small Bowel Obstruction in the Emergency Department: A Retrospective Observational Single-Center Study
Authors: Di Gioia Carmine Cristiano , Alame Alice , Orso Daniele
Published: December 2024

Background and Objectives: Small bowel obstruction (SBO) requires prompt diagnosis and management. Due to its advantages, POCUS can be beneficial when assessing SBO. However, it is still doubtful whether POCUS performed by an emergency doctor can prolong the time of patients with SBO in the emergency department (ED). The primary outcome was time to diagnosis when using POCUS compared to not using it. Secondary outcomes included the processing time in the ED, ED length of stay (LOS), rates of abdominal radiography, hospital LOS, and mortality. Materials and Methods: We conducted a retrospective, observational study in our ED from 1 November 2021 to 31 December 2023, including patients aged 18 and older diagnosed with SBO. Both groups received confirmation of their diagnosis through contrast-enhanced computed tomography. The two groups of patients (POCUS group vs. non-POCUS group) were compared regarding the time needed to reach the final diagnosis (i.e., time to diagnosis), the ED LOS, the hospital LOS, and in-hospital mortality. Results: A total of 106 patients were included. The median time to diagnosis was 121 min for the POCUS group vs. 217 min for the non-POCUS group (p < 0.001). Median ED processing time was 276 min in the POCUS group compared to 376 min in the non-POCUS group (p = 0.006). ED LOS was also shorter in the POCUS group (333 vs. 436 min, p = 0.010). Abdominal X-ray rates were lower in the POCUS group (49% vs. 78%, p = 0.004). Hospital LOS was similar between the two groups (p = 1.000). Five non-POCUS patients died during hospitalization; none died in the POCUS group, but the difference was not statistically significant (p = 0.063). Conclusions: POCUS significantly reduced time to diagnosis and ED LOS. Further exploration is needed to assess long-term outcomes and the cost-effectiveness of integrating POCUS into ED practice.
Effects of Manual Therapy and Home Exercise Treatment on Pain, Stress, Sleep, and Life Quality in Patients with Bruxism: A Randomized Clinical Trial
Authors: Kadıoğlu Merve Berika , Sezer Miraç , Elbasan Bülent
Published: December 2024

Background and Objectives: This study aimed to examine the effects of manual therapy (MT) and home exercise (HE) treatments on pain, sleep quality, stress level, and quality of life in patients with bruxism. Materials and Methods: The study included 30 bruxism patients ages 18–25 years who were randomly divided into the manual therapy group (MTG) and home exercise group (HEG). Before treatment (T1), all patients were asked to fill out the Pittsburgh Sleep Quality Index (PSQI), Perceived Stress Scale (PSS), Fonseca Anamnestic Index (FAI), and Quality of Life Scale/Short Form-36 (SF-36), and additionally, the number of trigger points (NTP) and pain levels were determined. MT and HE were applied for 8 weeks, and all tests were repeated at the end of treatment (T2). A paired-samples t test was used for intra-group comparisons at T1 and T2, and an independent t test was used for inter-group comparisons. The statistical significance level was accepted as p < 0.05. Results: When the results obtained with MT and HE were examined after 8 weeks of treatment, a significant difference was found for all parameters (FAI, PSQI, PSS, SF-36, NTP, activity pain, and night pain levels, p < 0.05) except rest pain in HEG. According to the inter-group comparison, a significant difference was found in PSQI, FAI, and NTP (p < 0.05). However, it was determined that both groups showed statistically similar effects in terms of pain, perceived stress, and quality of life (p > 0.05). Conclusions: MT and HE reduce perceived stress and pain intensity and also improve quality of life and sleep in patients with bruxism. HE is as effective as MT in terms of pain, stress quality of life. MT is more effective than HE in improving sleep quality and TMD symptoms. Both manual therapy and home exercise applications can be applied as alternative treatment methods in the treatment of bruxism.
Leadership and Quality Enhancement in Secondary Education: A Comparative Analysis of TQM and EFQM
Authors: Anastasiou Sophia , Ntokas Konstantinos
Published: December 2024

This study aimed to assess the contribution of leadership to Total Quality Management (TQM) implementation in secondary education and to determine the extent of TQM practices, as perceived by teachers, within the Ioannina region, NW Greece. The study also explored how these perceptions relate to various variables. A quantitative approach was employed, involving 128 teachers from secondary education schools in the Ioannina region, NW Greece. The findings illuminate the profound influence of leadership on successful TQM implementation. Effective leaders foster a climate of collaboration, provide resources, and encourage teamwork, ultimately contributing to the enhancement of teaching and learning quality. Moreover, this research study underscores the compatibility of the TQM and EFQM principles in promoting quality enhancement within educational settings. The EFQM Leadership score was calculated by averaging the ratings of leadership behaviors like collaboration, communication, and decision making. The results reveal a strong commitment to TQM principles, with overall TQM and EFQM Leadership scores of 3.58 (±0.11) and 3.46 (±0.30), respectively. The EFQM Leadership dimensions demonstrated significant alignment, particularly in areas such as teacher participation and communication of quality standards. However, there is room for improvement in encouraging two-way communication and ensuring consistent leadership decision implementation. This study highlights the crucial role of effective leadership in fostering a culture of quality and excellence in secondary education, emphasizing the importance of collaboration, communication, and alignment with EFQM principles for successful TQM implementation.
Preliminary Evaluation of Nickel Silicide (NiSi12-wt%) Laser Cladding for Enhancing Microhardness and Corrosion Resistance of S355 Steel
Authors: Ibrahim Mohammad , Hulme Christopher , Grasmo Geir , Aune Ragnhild E.
Published: December 2024

S355 construction steel, a commonly used mild steel due to its exceptional strength, is prone to environmental degradation, especially pitting corrosion in highly corrosive marine environments. To address this vulnerability, applying a surface layer of nickel silicide (NiSi) cladding on such components could offer a solution, given that NiSi-based alloys are known for their high corrosion resistance and exceptional mechanical properties. Thus, the present study has investigated the corrosion resistance and microhardness of the NiSi12-wt% cladding deposited onto substrates of S355 steel using laser metal deposition. An accelerated ASTM G48 corrosion test and a Vickers microhardness test were conducted in a solution of 6% ferric chloride (FeCl3) solution at room and elevated temperatures to represent marine environments, with uncladded sheet substrates exposed to the same test environments as a reference. All exposed S355 steel samples, with and without cladding, underwent microhardness testing and were characterized using light optical microscopy (LOM) and low-voltage field emission scanning electron microscopy (LVFESEM). The findings indicate that the NiSi12-wt% cladding significantly enhances the corrosion resistance and mechanical properties of the S355 steel samples, showcasing its potential for use in marine and industrial environments where corrosion and mechanical wear are expected.
Mechanism of Multi-Physical Fields Coupling in Macro-Area Processing via Laser–Electrochemical Hybrid Machining (LECM)
Authors: Li Guangxian , Su Zhikun , Zhao Tingan , Wei Wei , Ding Songlin
Published: December 2024

Laser–electrochemical hybrid machining (LECM) is promising in the processing of thin-wall parts, which avoids problems such as the weak stiffness of structures and thermal defects. However, while most studies focus on precision machining via LECM, few investigate the potential of this technique in macro-area processing. In this paper, the synergistic effects on the coupling of thermal field and electrochemical field on bulk material removal mechanisms in the LECM of additively manufactured Ti6Al4V are comprehensively analyzed experimentally and theoretically. According to the experimental results, LECM improved the material removal rate (MRR) by up to 28.6% compared to ECM. The induction of the laser increases local heating, accelerating the temperature rise of the electrolyte, eventually promoting the electrochemical reaction. The hydrogen bubble flow promotes overall heat convection between the electrode and workpiece, which facilitates the removal of the facial precipitates and increases the efficiency of electrochemical dissolution. Higher voltages and laser powers promote the formation of hydrogen bubble flow; meanwhile, they also aggravate laser energy scattering, limiting the overall machining efficiency. Additionally, laser irradiation causes the ablation and rupture of hydrogen bubbles, which weakens the bubble flow effect and ultimately decreases the material removal efficiency. This study reveals the underlying mechanisms of the joint effects of the laser field and electrical field in LECM, and the findings can provide valuable insights for the optimization of LECM parameters in industrial applications.
Modeling and Simulation of Fatigue Crack Initiation Process Based on Field Theory of Multiscale Plasticity (FTMP): Part I: PSB Ladder Formation and Verification
Authors: You Xinping , Hasebe Tadashi
Published: December 2024

In this study, we successfully reproduced the persistent slip band (PSB) with laddered patterning, showcasing the predictive capability of the framework of Field Theory of Multiscale Plasticity (FTMP) without relying on ad hoc models, intricate mathematical models, or elaborate finite element discretization. The FTMP-incorporated CP-FEM simulation not only reasonably replicates the experimentally observed laddered morphology and PSB but also effectively simulates surface roughening and grooving, independent of vacancy formation and diffusion. These results highlight the significance of laddered morphology and set the stage for further investigations into the effects of vacancy formation, as extended in the subsequent paper. Leveraging incompatibility tensor-based degrees of freedom, the FTMP framework offers exceptional capabilities for natural modeling dislocation substructures typically overlooked in conventional approaches, positioning it as a transformative tool for advancing our understanding of the mechanisms that dictate slip band-fatigue crack transitions.
The Role of Beta-Hydroxybutyrate in Mitigating the Inflammatory and Metabolic Consequences of Uric Acid
Authors: Remund Nicole P. , Larsen John G. , Shin Marley J. , Warren Cali E. , Palmer Isabelle L. , Kim Iris J. , Cooper-Leavitt Elijah T. , Clarke Derek M. , Beus Colson G. , Johnson Richard J. , Arroyo Juan A. , Reynolds Paul R. , Bikman Benjamin T.
Published: December 2024

Background: Uric acid (UA), a metabolite of purine and fructose metabolism, is linked to inflammation and metabolic disorders, including gout and cardiovascular disease. Its pro-inflammatory effects are largely driven by the activation of the nucleotide-binding oligomerization domain-like receptor family pyrin domain-containing 3 (NLRP3) inflammasome, leading to increased cytokine production. Beta-hydroxybutyrate (BHB), a ketone produced during fasting or carbohydrate restriction, has been shown to reduce inflammation. This study explores the role of BHB in mitigating the inflammatory and metabolic effects of elevated uric acid levels. Methods: We utilized a murine muscle cell culture treated with UA and BHB. Results: Muscle cells treated with UA had increased production of pro-inflammatory cytokines and reduced cell viability. Co-treatment with BHB reversed these effects, improving cell survival and reducing cytokine levels. Additionally, uric acid impaired mitochondrial function and increased oxidative stress, which were mitigated by BHB. Furthermore, uric acid disrupted insulin signaling, but BHB co-treatment restored insulin sensitivity. Conclusions: These findings suggest that BHB holds therapeutic potential by counteracting the inflammatory and metabolic disruptions caused by elevated uric acid, making it a promising target for conditions such as hyperuricemia and metabolic syndrome.
Tornadic Storm over the Foothills of Central Nepal Himalaya
Authors: Kitada Toshihiro , Shrestha Sajan , Maharjan Sangeeta , Bhattarai Suresh , Regmi Ram Prasad
Published: December 2024

On the evening of 31 March 2019, Parsa and Bara Districts in central Nepal were severely hit by a wind storm which was the first documented tornadic incidence in Nepal.In this paper, we investigate the background of the tornado formation via numerical simulations with the WRF-ARW model. The results show that: (1) a flow situation favorable to the generation of mesocyclones was formed by a combination of local plain-to-mountain winds consisting of warm and humid southwesterly wind in the lower atmosphere and synoptic northwesterly wind aloft over the southern foothills of the Himalayan Mountain range, leading to significant vertical wind shear and strong buoyancy; (2) the generated mesocyclone continuously shed rain-cooled outflow with 600∼800 m depth above the ground into the Chitwan valley while moving southeastward along the Mahabharat Range at the northeastern rim of the Chitwan valley; (3) the cold outflow propagated in the valley, forming a front; and (4) the tornado was generated when this cold outflow passed over the Siwalik Hills bordering the southern rim of the Chitwan valley. At this point, descending flow around a high mountain generated positive vertical vorticity near the ground; blocking by this high mountain and channeling through a mountain pass enhanced updrafts at the front by forming a hydraulic jump. These updrafts amplified the positive vertical vorticity via stretching, and this interaction of the cold outflow with the Siwalik Hills contributed to tornadogenesis. The simulated location and time of the disaster showed generally good agreement with the reported location and time.
Technical–Economic Analyses of Electric Energy Generation by Biogas from Anaerobic Digestion of Sewage Sludge from an Aerobic Reactor with the Addition of Charcoal
Authors: Garcia Cornélio Ribeiro , Hincapie Michael Danilo Vargas , Barros Regina Mambeli , Córdova Maxi Estefany Huamán , de Castro e Silva Hellen Luisa , dos Santos Ivan Felipe Silva , Lora Electo Eduardo Silva , Filho Geraldo Lucio Tiago , Freitas João Victor Rocha de , Crispim Adriele Maria de Cássia , Pontes Aylla Joani Mendonça de Oliveira
Published: December 2024

This study aimed to obtain the energy recovery potential of the biogas produced from anaerobic digestion (AD) of the sludge from a wastewater treatment plant (WWTP), including the use of biochar as an additive for substrate co-digestion and catalyst for methane production. We carried out the following steps: chemical–physical laboratory analyses of sludge samples; the building, operation, and monitoring of an experimental prototype of a batch bioreactor of 2.5 L for the AD of the sludge (with and without the addition of charcoal); qualitative measurements of biogas; the study of charcoal morphology; and the projection of useful energy generation from the AD sludge after treatment. A study on the economic viability and avoided greenhouse gas (GHG) emissions was performed based on the experimental results. The substrate showed alterations in all the physicochemical parameters evaluated after AD, such as a reduction of 35% in the biochemical oxygen demand (BOD) analysis; the experiment carried out using biochar showed positive results regarding the speed of CH4 production and a greater potential for energy recovery. Enterprises from 2000 kW onwards would present an internal rate of return (IRR) equal to or higher than the minimum attractiveness rate (MAR) of 15%. The USD 95.28/MWh tariff presented economic feasibility for the studied scenarios. WWTPs that produce enough sludge to generate power of 2000 kW would need to process the waste of 117,200 inhabitants with charcoal addition and 136,000 without charcoal. It would be possible to avoid the emission of 2307.97 tCO2/year (2000 kW). According to the results obtained, this study revealed that using alternative energies based on anaerobic digestion and biochar can generate positive results regarding methane production, and its application as an energy source in a WWTP proved to be economically viable at a specific level of power production.
Novel Method of Fitting a Nonlinear Function to Data of Measurement Based on Linearization by Change Variables, Examples and Uncertainty
Authors: Warsza Zygmunt L. , Puchalski Jacek , Więcek Tomasz
Published: December 2024

This paper presents a novel method for determining parameters and uncertainty bands of nonlinear functions fitted to data obtained from measurements. In this procedure, one or two new variables are implemented to linearize this function for using the linear regression method. The best parameters of the straight-line in new variables are adjusted to the transformed coordinates of tested points according to the weighted total mean square criterion WTLS, or WTLS-C of data points are also correlated. Uncertainties of measured points are found according to the rules of the GUM Guide. The parameters and the uncertainty band of the nonlinear function result from the parameters of this straight line and of its uncertainty band. A few examples determining the parameters and uncertainty bands of different types of nonlinear functions are presented. There are also examples of measurements using the presented method and conclusions.
The Deformation of a Liquid Metal Droplet Under Continuous Acceleration in a Variable Cross-Section Groove
Authors: Xu Hanyang , Dang Haojie , Tian Wenchao , Li Zhao
Published: December 2024

This paper constructs a numerical simulation model for the deformation of droplets in a variable cross-section groove of a liquid droplet MEMS switch under different directions, amplitudes, frequencies, and waveforms of acceleration. The numerical simulation utilizes the level set method to monitor the deformation surface boundary of the metal droplets. The simulation outcomes manifest that when the negative impact acceleration on the X-axis is 12.9 m/s2, the negative impact acceleration on the Y-axis is 90 m/s2, the negative impact acceleration on the Z-axis is 34.5 m/s2, and the metal droplet interfaces with the metal electrode. The droplet deformation under the effect of a sine wave acceleration signal in the X and Y directions is lower than that under impact acceleration, while in the Z direction, the deformation is higher than that under impact acceleration. The deformation of metal droplets under square wave acceleration is more pronounced than that under sinusoidal wave acceleration. The deformation escalates with the augmentation in square wave amplitude and dwindles with the reduction in square wave acceleration frequency. Furthermore, there exists a phase difference between the deformation curve of the metal droplet and the continuous acceleration signal curve, and the phase difference is dependent of the material properties of the metal droplet. This work elucidates the deformation of the liquid-metal droplets under continuous acceleration and furnishes the foundation for the continuous operation design of MEMS droplet switches.
Oxidation Behavior and Creep Resistance of Cast MC-Strengthened CoNiFeMnCr HEAs at 1100 °C
Authors: Berthod Patrice , Aranda Lionel
Published: December 2024

The reinforcement of cast Cantor’s-type high-entropy alloys by MC carbides and their effect on the hot oxidation behavior were investigated. Three equimolar CoNiFeMnCr alloys without or with carbon and with either hafnium or tantalum were elaborated. Their as-cast microstructures were specified. Oxidation tests were carried out in air at 1100 °C. Flexural creep tests were performed at 1100 °C at 10 MPa. The carbide-free CoNiFeMnCr alloy was single-phased. The version with Hf and C added and the one with Ta and C added contained interdendritic eutectic script HfC and TaC carbides, respectively. After oxidation for 50 h at 1100 °C, all alloys were covered by a (Cr,Mn)2O3 scale with various proportions of Cr and Mn. HfO2 or CrTaO4 also formed. Oxidation resulted in a deep depletion in Cr and in Mn in the subsurface. Oxidation is much faster for the three alloys by comparison with chromia-forming alloys. Their bad oxidation behavior is obviously due to Mn and protection by coating is to be considered. The creep deformation of the carbide-free CoNiFeMnCr alloy was very fast. The creep resistance of the two versions reinforced by either HfC or TaC deformed much slower. The addition of these MC carbides led to a deformation rate divided by five to ten times. Now, creep behavior comparisons with commercial alloys are to be conducted. They will be performed soon.
Rice Kefiran Ameliorates Obesity and Hepatic Steatosis Through the Change in Gut Microbiota
Authors: Kurakawa Takuto , Kani Koudai , Chudan Seita , Nishikawa Miyu , Tabuchi Yoshiaki , Sakamoto Kazuichi , Nagai Yoshinori , Ikushiro Shinichi , Furusawa Yukihiro
Published: December 2024

Obesity is a global epidemic and a significant risk factor for various diseases. Obesity and dysbiosis are associated, drawing attention to the mechanisms that regulate the gut microbiota. In this study, we focused on the postbiotic effects of rice kefiran (Kef), a functional product of Lactobacillus kefiranofaciens cultured in a rice-based medium, on obesity and its complications. Although Kef has the potential to improve obesity, the underlying mechanisms remain unknown. Therefore, we aimed to elucidate the mechanisms underlying changes in gut microbiota. The administration of Kef significantly suppressed diet-induced body weight gain, reduced liver fat accumulation, and modestly improved insulin resistance. Among the gut bacteria, Lachnospiraceae and Lachnoclostridium, which were positively correlated with obesity, decreased in mice administered Kef. In contrast, Bacteroides and Alistipes, both reported to ameliorate obesity, were increased. Consistent with the changes in the gut microbiota, Kef increased fecal acetate levels, which ameliorated obesity and hepatic steatosis. Predictive metagenomic analysis suggested that Kef administration increased the abundance of KEGG orthologs, associated with carbohydrate metabolism and improvements in insulin resistance. In conclusion, Kef improves diet-induced obesity, hepatic steatosis, and insulin resistance by regulating the gut microbiota’s composition.
Microbial Community Structure, Diversity, and Succession During Decomposition of Kiwifruit Litters with Different Qualities
Authors: Lu Yupeng , Gao Zhu , Zhu Yulin , Yao Dongliang , Wang Xiaoling
Published: December 2024

There are differences in the litter quality and decomposition rate of kiwifruit varieties, but it is not clear whether these differences are related to microbial communities. The leaf litters of two kiwifruit varieties (A. chinensis cv ‘Hongyang’ and A. chinensis cv ‘Jinyan’) were taken as objects, and the structure, diversity, and succession of the soil microbial communities were analyzed using an in situ decomposition experiment. Moreover, the contents of C, N, P, and K in the litters during decomposition were analyzed. The results show that there were variety differences in community structure at the generic level. Lophotrichus, Acaulium, and Fusarium were relatively more abundant in the microbial community of the ‘Hongyang’ kiwifruit litter, and Humicola and Tausonia were relatively more abundant in the microbial community of the ‘Jinyan’ kiwifruit litter. Subgroup_6 and Sphingomonas were the dominant bacteria. The bacterial community diversity of ‘Jinyan’ kiwifruit was higher than that of the ‘Hongyang’ kiwifruit litter. The community diversity was higher in the middle and later periods. The contents of C and N in the litters were the main factors affecting microbial communities. The abundances of Humicola and Apiotrichum were negatively correlated with the contents of C and N, and the abundances of Sphingomonas and SC-I-84 were positively correlated with the content of C. There were variety differences in the microbial communities corresponding to the decomposition processes of the ‘Hongyang’ and ‘Jinyan’ kiwifruit litters. The mechanisms of the variety differences were related to litter quality and the initial soil microbial community.
Correction: Zhang et al. Evolution Mechanism of Microscopic Pore System in Coal-Bearing Marine–Continental Transitional Shale with Increasing Maturation. Minerals 2023, 13, 1482
Authors: Zhang Jizhen , Lin Wei , Li Mingtao , Wang Jianguo , Xiao Xiao , Li Yu , Zhang Xiaochan
Published: December 2024

In the original publication [...]
Targeting High-Grade Mineralization via a Synthesis of Compositional Profiles of Alluvial Gold with Structural and Paragenetic Models
Authors: Chapman Robert John , Torvela Taija Marianne , Spence-Jones Carl Peter , Walshaw Richard David , McLeod Graham William
Published: December 2024

Gold compositional studies have been advocated to resolve genetic relationships between alluvial and in situ occurrences based on the assumption that the P-T-X conditions at the sites of mineral deposition are reflected in common compositional signatures of gold. Here, we explore two refinements to a simple ‘same or different’ approach, namely (i) in situ gold sources at different localities may correspond to multiple stages of mineralization and, therefore, different gold grade, and (ii) any duplication of gold signatures between localities requires fluid conduits compatible with the prevailing structural framework. The high-grade gold paragenetic stage at the Cononish Mine, Scotland, is characterized by relatively low Ag alloy associated with Ag-Au and Ag tellurides. This signature is replicated in the inclusion signature of alluvial gold from the adjacent drainage and is also present in two other drainages for which there are no known in situ sources. There is a strong correlation between the spatial extent of this signature and the fault linkage zone, but outside this zone, gold exhibits other compositional signatures. The study shows how structural considerations provide an independent and robust framework to evaluate genetic relationships suggested by compositional studies of alluvial gold in areas where the source location and economic potential are unknown.
Automated Systems with Fluorescence Detection for Metal Determination: A Review
Authors: Skok Arina , Manousi Natalia , Anthemidis Aristidis , Bazel Yaroslav
Published: December 2024

Industrialization has led to environmental pollution with various hazardous chemicals including pollution with metals. In this regard, the development of highly efficient analytical methods for their determination has received considerable attention to ensure public safety. Currently, scientists are paying more and more attention to the automation of analytical methods, since it permits fast, accurate, and sensitive analysis with minimal exposure of analysts to hazardous substances. This review discusses the automated methods with fluorescent detection developed for metal determination since 2000. It is evident that flow-injection analysis (FIA) with no preconcentration or with solid-phase preconcentration are predominant compared to liquid-phase preconcentration systems. FIA systems are also more widespread than sequential injection analysis (SIA) systems. Moreover, a significant number of works have been devoted to chromatography-based methods. Atomic fluorescence detectors significantly prevail over molecular fluorescence detectors. It must be highlighted that most of the methods result in good figures of merit and performance characteristics, demonstrating their superiority in comparison with manual systems.
Optimizing the Ratio of Metallic and Single-Atom Co in CoNC via Annealing Temperature Modulation for Enhanced Bifunctional Oxygen Evolution Reaction/Oxygen Reduction Reaction Activity
Authors: Cheng Hengxu , Sun Haojie , Dai Meizhen , Li Yucai , Wang Jian , Song Shiwei , Zhang Dong , Zhao Depeng
Published: December 2024

Developing low-cost, efficient alternatives to catalysts for bifunctional oxygen electrode catalysis in the oxygen reduction reaction (ORR) and oxygen evolution reaction (OER) is critical for advancing the practical applications of alkaline fuel cells. In this study, Co particles and single atoms co-loaded on nitrogen-doped carbon (CoNC) were synthesized via pyrolysis of a C3N4 and cobalt nitrate mixture at varying temperatures (900, 950, and 1000 °C). The pyrolysis temperature and precursor ratios were found to significantly influence the ORR/OER performance of the resulting catalysts. The optimized CoNC-950 catalyst demonstrated exceptional ORR (E1/2 = 0.85 V) and OER (Ej10 = 320 mV) activities, surpassing commercial Pt/C + RuO2-based devices when used in a rechargeable zinc–air battery. This work presents an effective strategy for designing high-performance non-precious metal bifunctional electrocatalysts for alkaline environments.
Glycine-Based [3+2] Cycloaddition for the Synthesis of Pyrrolidine-Containing Polycyclic Compounds
Authors: Zhou Tieli , Zhang Xiaofeng , Zhan Desheng , Zhang Wei
Published: December 2024

The synthesis of pyrrolidine compounds with biological interest is an active research topic. Glycine could be a versatile starting material for making pyrrolidine derivatives. This review covers recent works on glycine-based [3+2] cycloaddition and combines other annulation reactions in the one-pot synthesis of pyrrolidine-containing heterocyclic compounds. Synthetic method development, substrate scope, and reaction mechanisms are discussed. Applications of the compounds in drug discovery are briefly mentioned. This paper is helpful for chemists in the development of efficient and sustainable methods for the preparation of bioactive pyrrolidine compounds.
Utilization of Bottom Ash from Biomass Combustion in a Thermal Power Plant to Remove Cadmium from the Aqueous Matrix
Authors: Pertile Eva , Dvorský Tomáš , Václavík Vojtěch , Šimáčková Bohdana , Balcařík Lukáš
Published: December 2024

This study provides a cost-effective method for using bottom ash from biomass combustion, which would otherwise constitute waste, to remove cadmium from acidic industrial wastewater. The X-ray powder diffraction method was used to identify the crystal forms, i.e., the arrangement of atoms in the crystal lattice, and to determine the composition of bottom ash, and the X-ray fluorescence method was used to obtain information on the elemental composition of bottom ash. The Fourier Transform Infrared method was used to analyse and identify the different functional groups occurring in bottom ash. Scanning Electron Microscopy with energy-dispersive X-ray was used to obtain detailed information on the bottom ash surface. The effect of various factors on Cd removal was studied, and optimal experimental conditions were found. The kinetic and thermodynamic equations showed that the removal of Cd2+ using bottom ash from biomass combustion was a single-layer chemical adsorption meeting the requirements of pseudo-second-order kinetics. The limiting parameter for the effective adsorption of Cd2+ using bottom ash from biomass combustion is its alkaline nature. It can only be used for solutions with pH < 2, which, on the other hand, is its advantage in practical application, namely, in the final treatment of acidic industrial wastewater.
Asymmetric Synthesis of 2-Arylethylamines: A Metal-Free Review of the New Millennium
Authors: Manchado Alejandro , García-González Ángel , Nieto Carlos T. , Díez David , Garrido Narciso M.
Published: December 2024

2-Arylethylamines are presented in several natural bioactive compounds, as well as in nitrogen-containing drugs. Their ability to surpass the blood–brain barrier makes this family of compounds of especial interest in medicinal chemistry. Asymmetric methodologies towards the synthesis of 2-arylethylamine motives are of great interest due to the challenges they may present. Thus, a concise metal-free review presenting recent advances in the asymmetric synthesis of 2-arylethylamines is presented, covering last-millennium studies, considering different methodologies towards the aforementioned motif, including chiral induction, organocatalysis, organophotocatalysis and enzymatic catalysis.
Efficient Method of (S)-Nicotine Synthesis
Authors: Trotsko Nazar , Miroslaw Barbara , Jasiński Radomir , Długosz Mateusz , Sadczuk Małgorzata , Demchuk Oleg M.
Published: December 2024

Improved methods for the synthesis of nicotine are of great importance due to the wide range of applications of synthetic nicotine, which is free from contamination with nitrosamines. Herein, we present a four-step chemical synthesis of (S)-nicotine, involving the reduction in myosmine, enantiomeric separation of nornicotine, and subsequent methylation of the appropriate enantiomer of nornicotine obtained. The reduction in myosmine was investigated using both electrochemical and chemical approaches, achieving up to 90% yields of pure nornicotine. To achieve the enantioseparation of nornicotine, its diastereomeric salts with chiral acids, specifically, N-lauroyl-(R)-alanine, were obtained in a mixture of methyl tert-butyl ether (MTBE) and chloroform, which led to the isolation of (S)-nornicotine with 92% ee. The structures of the obtained salts were determined by the X-ray diffraction (XRD) technique, which helped to explain the origin of enantiodiscrimination during the crystallization. The described methodology allows efficient regeneration of the reagents and solvents used, leading to cost-effective production of (S)-nicotine suitable for industrial-scale applications.
Bi-Directional Gaze-Based Communication: A Review
Authors: Severitt Björn Rene , Castner Nora , Wahl Siegfried
Published: December 2024

Bi-directional gaze-based communication offers an intuitive and natural way for users to interact with systems. This approach utilizes the user’s gaze not only to communicate intent but also to obtain feedback, which promotes mutual understanding and trust between the user and the system. In this review, we explore the state of the art in gaze-based communication, focusing on both directions: From user to system and from system to user. First, we examine how eye-tracking data is processed and utilized for communication from the user to the system. This includes a range of techniques for gaze-based interaction and the critical role of intent prediction, which enhances the system’s ability to anticipate the user’s needs. Next, we analyze the reverse pathway—how systems provide feedback to users via various channels, highlighting their advantages and limitations. Finally, we discuss the potential integration of these two communication streams, paving the way for more intuitive and efficient gaze-based interaction models, especially in the context of Artificial Intelligence. Our overview emphasizes the future prospects for combining these approaches to create seamless, trust-building communication between users and systems. Ensuring that these systems are designed with a focus on usability and accessibility will be critical to making them effective communication tools for a wide range of users.
Transition to Metallic and Superconducting States Induced by Thermal or Electrical Deoxidation of the Dislocation Network in the Surface Region of SrTiO3
Authors: Szot Krzysztof , Rodenbücher Christian , Rogacki Krzysztof , Bihlmayer Gustav , Speier Wolfgang , Roleder Krystian , Krok Franciszek , Keller Hugo , Simon Arndt , Bussmann-Holder Annette
Published: December 2024

The question as to why deoxidized SrTiO3−δ becomes metallic and superconducting at extremely low levels of oxygen vacancy concentration has been a mystery for many decades. Here, we show that the real amount of effused oxygen during thermal reduction, which is needed to induce superconducting properties, is in the range of only 1014/cm3 and thus even lower than the critical carrier concentrations assumed previously (1017–1019/cm3). By performing detailed investigations of the optical and electrical properties down to the nanoscale, we reveal that filaments are forming during reduction along a network of dislocations in the surface layer. Hence, a reduced epi-polished SrTiO3−δ crystal has to be regarded as a nano-composite consisting of a perfect dielectric matrix with negligible carrier density, which is short-circuited by metallic filaments with a local carrier density in the range of 1020/cm3. We present that electro-degradation leads to a more pronounced evolution of filamentary bundles and thus can generate a superconducting state with higher TC than thermal reduction. These findings indicate that traditional homogeneous models of superconductivity in self-doped SrTiO3−δ need to be revised, and we propose an alternative explanation taking into account the coexistence of metallic dislocation cores with polar insulating regions allowing for polaronic coupling.
Laser Desorption/Ionization on Au@TiO2 Core@Shell Nanostars for Mass Spectrometric Analysis of Small Molecules
Authors: Cho Hye-Sun , Koh Jueun , Yim Gyeonghye , Jang Hongje , Kim Young-Kwan
Published: December 2024

The core@shell nanostars composed of star-like Au nanocores with TiO2 shells (Au@TiO2 NSs) are synthesized in a one-pot reaction without any reducing or surface-controlling agents. The Au@TiO2 NSs exhibit strong absorption in the UV region based on the interaction between the Au nanocore and the TiO2 shell, and this optochemical property leads to the efficient laser desorption/ionization time-of-flight mass spectrometry (LDI-TOF-MS) analysis of small molecules with low background interference and high reproducible mass signals compared with spherical Au nanoparticles (NPs). The limit of detection and dynamic range values of various analytes also improved with Au@TiO2 NSs compared with those obtained with spherical Au NPs. Our findings successfully demonstrate that Au@TiO2 NSs are a promising matrix for the LDI-TOF-MS analysis of various small molecules as well as synthetic polymers.
A Review of Nanostructure Coating Techniques to Achieve High-Precision Optical Fiber Sensing Applications
Authors: Kok Sooping , Go YunIi , Wang Xu , Wong Dennis
Published: December 2024

Optical fiber sensors have emerged as a critical sensing technology across various fields due to their advantages, including high potential bandwidth, electrical isolation that is safe for utilization in electrically hazardous environments, high reliability, and ease of maintenance. However, conventional optical fiber sensors face limitations in achieving high sensitivity and precision. The integration of nanostructures with advanced coating technology is one of the critical solutions to enhancing sensor functionality. This review examined nanostructure coating techniques that are compatible with optical fiber sensors and evaluated etching techniques for the improvement of optical fiber sensing technology. Techniques such as vapor deposition, laser deposition, and sputtering to coat the nanostructure of novel materials on the optical fiber sensors are analyzed. The ability of optical fiber sensors to interact with the environment via etching techniques is highlighted by comparing the sensing parameters between etched and bare optical fibers. This comprehensive overview aims to provide a detailed understanding of nanostructure coating and etching for optical fiber sensing and offer insights into the current state and future prospects of optical fiber sensor technology for sensing performance advancement, emphasizing its potential in future sensing applications and research directions.
Advanced Defect Detection on Curved Aeronautical Surfaces Through Infrared Imaging and Deep Learning
Authors: Bounenni Leith , Arbane Mohamed , Ibarra-Castanedo Clemente , Yaddaden Yacine , Unnikrishnakurup Sreedhar , Yong Andrew Ngo Chun , Maldague Xavier
Published: December 2024

Detecting defects on aerospace surfaces is critical to ensure safety and maintain the integrity of aircraft structures. Traditional methods often need more precision and efficiency for effective defect detection. This paper proposes an innovative approach that leverages deep learning and infrared imaging techniques to detect defects with high precision. The core contribution of our work lies in accurately detecting the size and depth of defects. Our method involves segmenting the size of the defect and calculating its centre to determine its depth. We achieve a more comprehensive and precise assessment of defects by integrating deep learning with infrared imaging based on the U-net model for segmentation and the CNN model for classification. The proposed model was rigorously tested on both a simulation dataset and an experimental dataset, demonstrating its robustness and effectiveness in accurately identifying and assessing defects on aerospace surfaces. The results indicate significant improvements in detection accuracy and computational efficiency, showing advancements over state-of-the-art methods and paving the way for enhanced maintenance protocols in the aerospace industry.