bluuebunny/crossref_metadata_2025 huggingface dataset:
Nanoporous Activated Carbon Material from Terminalia chebula Seed for Supercapacitor Application
Authors: Gnawali Chhabi Lal , Shrestha Lok Kumar , Hill Jonathan P. , Ma Renzhi , Ariga Katsuhiko , Adhikari Mandira Pradhananga , Rajbhandari Rinita , Pokharel Bhadra P.
Published: November 2023

High-surface-area porous carbon materials with high porosity and well-defined pore structures are the preferred advanced supercapacitors electrode materials. Here, we report the electrochemical supercapacitive performance of novel high-porosity activated carbon materials prepared from biowaste Terminalia chebula (Harro) seed stones involving zinc chloride (ZnCl2) activation. Activation is achieved by mixing ZnCl2 with Harro seed powder (1:1 w/w) followed by carbonization at 400–700 °C under a nitrogen gas atmosphere. The amorphous carbon materials obtained exhibit excellent performance as electrical double-layer capacitor electrodes in aqueous electrolyte (1 M sulfuric acid) due to high specific surface areas (as high as 1382.6 m2 g−1) based on well-developed micropore and mesopore structures, and partial graphitic structure containing oxygenated surface functional groups. An electrode prepared using material having the optimal surface textural properties achieved a large specific capacitance of 328.6 F g−1 at 1 A g−1 in a three-electrode cell setup. The electrode achieved a good capacitance retention of 44.7% at a high 50 A g−1 current density and outstanding cycling performance of 98.2% even following 10,000 successive charge/discharge cycles. Electrochemical data indicate the significant potential of Terminalia chebula seed-derived porous carbons as high-performance electrode materials for high-energy-storage supercapacitor applications.
Lysine Demethylase KDM2A Promotes Proteasomal Degradation of TCF/LEF Transcription Factors in a Neddylation-Dependent Manner
Authors: Šopin Tijana , Liška František , Kučera Tomáš , Cmarko Dušan , Vacík Tomáš
Published: November 2023

Canonical Wnt signaling is essential for a plethora of biological processes ranging from early embryogenesis to aging. Malfunctions of this crucial signaling pathway are associated with various developmental defects and diseases, including cancer. Although TCF/LEF transcription factors (TCF/LEFs) are known to be essential for this pathway, the regulation of their intracellular levels is not completely understood. Here, we show that the lysine demethylase KDM2A promotes the proteasomal destabilization of TCF/LEFs independently of its demethylase domain. We found that the KDM2A-mediated destabilization of TCF/LEFs is dependent on the KDM2A zinc finger CXXC domain. Furthermore, we identified the C-terminal region of TCF7L2 and the CXXC domain of KDM2A as the domains responsible for the interaction between the two proteins. Our study is also the first to show that endogenous TCF/LEF proteins undergo KDM2A-mediated proteasomal degradation in a neddylation-dependent manner. Here, we reveal a completely new mechanism that affects canonical Wnt signaling by regulating the levels of TCF/LEF transcription factors through their KDM2A-promoted proteasomal degradation.
Post-Acute Sequelae of COVID-19 (PASC) in Pediatrics: Factors That Impact Symptom Severity and Referral to Treatment
Authors: Soprano Catherine M. , Ngo Ryan , Konys Casey A. , Bazier Ashley , Salamon Katherine S.
Published: November 2023

The post-acute sequelae of COVID-19 (PASC) is a complex condition. While there are emerging studies on its effects in adults, there is scarce research regarding the long-term effects of COVID-19 infection among youth. Several researchers have likened long-haul COVID-19 to chronic fatigue syndrome/myalgic encephalomyelitis (CFS/ME) and postural orthostatic tachycardia syndrome (POTS). In adults, the prognosis for these diagnoses is less promising than that in youth; however, there is currently very little information available on the presentation of youth with PASC. A better understanding of the specific symptom presentation for youth diagnosed with PASC is necessary. Retrospective chart reviews were conducted collecting demographic data, COVID-19 symptoms and disease progression, and vaccination status. Additional data on referrals to a PASC treatment program and appointments attended were collected. Overall, data suggested that youth present with less severe PASC symptoms than adults, and the role of vaccination is unclear. These youth are often not referred to treatment programs. More exploration is necessary to continue to build an understanding of how best to aid youth diagnosed with PASC.
The Dark Side of Multimedia Devices: Negative Consequences for Socioemotional Development in Early Childhood
Authors: Rocha Bruno , Ferreira Laura I. , Martins Cátia , Santos Rita , Nunes Cristina
Published: November 2023

There is growing concern about the relationship between screen use by young children and negative effects on their development, as children with developmental and socioemotional impairments tend to have difficulties in their relationships and increased academic problems. The aim of our study was to analyse the relationship between the use of multimedia devices and paediatric symptoms in children below 5 years old. Data from 534 Portuguese parents of children aged from 18 to 57 months were collected via a self-report questionnaire. Children’s daily exposure to multimedia devices was nearly 2 h per day. Paediatric symptoms were positively associated with watching television and screen time and negatively associated with parents’ working hours. Touchscreen use was more frequent among girls and older children. Parents’ working hours comprised the most significant predictor of paediatric symptoms. Our findings reinforce past findings on the adverse links between the use of multimedia devices and paediatric symptoms and also highlight the influence of other variables like the child’s age and gender, as well as parental factors. The need to both create a more comprehensive framework regarding the long-term effects of multimedia device use and delineate effective strategies for prevention and intervention with parents and children is discussed.
Treatment of Ankyloglossia: A Review
Authors: Frezza Alessandro , Ezeddine Fatima , Zuccon Andrea , Gracco Antonio , Bruno Giovanni , De Stefani Alberto
Published: November 2023

Aim: The aim of this narrative review is to analyze and compare the current scientific evidence regarding the diagnosis and treatment of hypertrophic lingual frenulum in preschool and school-age children. The treatments considered in this review are traditional surgical therapy, laser-assisted surgical therapy, and functional rehabilitation therapy. Materials and methods: A comprehensive literature review was conducted using the PubMed and PubMed Central search engines, considering articles published in the English language between 1 January 2000 and 30 June 2022. The bibliographic search was performed using the following keywords as search strings: “lingual”, “frenulectomy”, “frenulotomy”, “frenulum”, “ankyloglossia”, and “laser.” Results: A total of 14 articles were included in this review, including four prospective observational studies, one case–control study, three cross-sectional studies, four retrospective studies, and one randomized controlled trial. The data extracted from each article are summarized in a table. Conclusions: In the literature, there are still limited studies regarding the treatment of hypertrophic frenulum. No common indications for the treatment of ankyloglossia and universally used classification for lingual frenulum were found. Currently, clinicians prefer the use of a diode laser for treatment. This method offers several advantages over the use of a scalpel blade. Many studies agree on the usefulness of providing patients with myofunctional rehabilitation to improve lingual mobility, both prior to surgical therapy and in the postoperative period.
Diagnostic Accuracy of Multiplex Polymerase Chain Reaction in Early Onset Neonatal Sepsis
Authors: Stein Anja , Soukup Daniel , Rath Peter-Michael , Felderhoff-Müser Ursula
Published: November 2023

Early onset neonatal sepsis is a significant contributor to neonatal morbidity and mortality. Although blood cultures remain the diagnostic gold standard, they detect pathogens in only a minority of suspected cases. This study compared the accuracy of blood cultures with a rapid multiplex PCR test. Newborns at risk of neonatal sepsis were prospectively screened as recommended per national guidelines. Evaluations included laboratory parameters (CrP, IL6, differential blood count), blood culture, and a molecular multiplex PCR test (ROCHE LightCycler SeptiFast®) identifying 20 common microbial agents. Blood samples were taken simultaneously from umbilical cord or venous sources on the first day of life. Of 229 infants included, 69% were born preterm. Blood culture and multiplex PCR sensitivity were 7.4% and 14.8%, respectively. Specificity, negative and positive predictive values between methods showed no significant variance, although multiplex PCR had more false positives due to contamination. The limited sensitivity of blood cultures for early onset neonatal sepsis is concerning. Despite quicker results, multiplex PCR does not enhance diagnostic accuracy or antibiotic therapy guidance, thus it cannot be recommended for this indication.
The Interconnection between Hepatic Insulin Resistance and Metabolic Dysfunction-Associated Steatotic Liver Disease—The Transition from an Adipocentric to Liver-Centric Approach
Authors: Vesković Milena , Šutulović Nikola , Hrnčić Dragan , Stanojlović Olivera , Macut Djuro , Mladenović Dušan
Published: November 2023

The central mechanism involved in the pathogenesis of MAFLD is insulin resistance with hyperinsulinemia, which stimulates triglyceride synthesis and accumulation in the liver. On the other side, triglyceride and free fatty acid accumulation in hepatocytes promotes insulin resistance via oxidative stress, endoplasmic reticulum stress, lipotoxicity, and the increased secretion of hepatokines. Cytokines and adipokines cause insulin resistance, thus promoting lipolysis in adipose tissue and ectopic fat deposition in the muscles and liver. Free fatty acids along with cytokines and adipokines contribute to insulin resistance in the liver via the activation of numerous signaling pathways. The secretion of hepatokines, hormone-like proteins, primarily by hepatocytes is disturbed and impairs signaling pathways, causing metabolic dysregulation in the liver. ER stress and unfolded protein response play significant roles in insulin resistance aggravation through the activation of apoptosis, inflammatory response, and insulin signaling impairment mediated via IRE1/PERK/ATF6 signaling pathways and the upregulation of SREBP 1c. Circadian rhythm derangement and biological clock desynchronization are related to metabolic disorders, insulin resistance, and NAFLD, suggesting clock genes as a potential target for new therapeutic strategies. This review aims to summarize the mechanisms of hepatic insulin resistance involved in NAFLD development and progression.
The Anti-Inflammatory Effects of Broccoli (Brassica oleracea L. var. italica) Sprout Extract in RAW 264.7 Macrophages and a Lipopolysaccharide-Induced Liver Injury Model
Authors: Sim Hyeon Woo , Lee Won-Yong , Lee Ran , Yang Seo Young , Ham Youn-Kyung , Lim Sung Don , Park Hyun-Jung
Published: November 2023

Brassica oleracea var. italica (broccoli), a member of the cabbage family, is abundant with many nutrients, including vitamins, potassium, fiber, minerals, and phytochemicals. Consequently, it has been used as a functional food additive to reduce oxidative stress and inflammatory responses. In the current study, the effects of sulforaphane-rich broccoli sprout extract (BSE) on the inflammatory response were investigated in vitro and in vivo. Comparative high-performance liquid chromatography analysis of sulforaphane content from different extracts revealed that 70% ethanolic BSE contained more sulforaphane than the other extracts. qPCR and enzyme immunoassay analyses revealed that BSE markedly reduced the expression of proinflammatory cytokines and mediators, including cyclooxygenase 2, interleukin (IL)-1β, IL-6, IL-1, inducible nitric oxide synthase (iNOS), and tumor necrosis factor-α (TNF-α), in lipopolysaccharide (LPS)-stimulated RAW 264.7 cells. Pretreatment with BSE improved the survival rate and suppressed alanine aminotransferase and aspartate aminotransferase expression in LPS-induced endotoxemic mice, while proinflammatory cytokines such as IL-1β, TNF-α, IL-6, cyclooxygenase-2, and iNOS decreased dramatically in the LPS-induced liver injury model via BSE treatment. Additionally, F4/80 immunostaining showed that BSE suppressed hepatic macrophage infiltration in the liver after lipopolysaccharide injection. In conclusion, BSE may be a potential nutraceutical for preventing and regulating excessive immune responses in inflammatory disease.
Tuning the Wettability of a High-Strength Aluminum Alloy Using a Picosecond Laser and Stearic Acid Coating
Authors: Qahtani Faez , Shrotriya Pranav
Published: November 2023

Imitating microstructures found in nature—such as lotus leaves and Namib beetles—is revolutionary in the field of surface science. Low-energy surfaces, when combined with different topographies, create different wetting states. Understanding the correlation between microstructure geometry and the behavior of water droplets is key to varying the contact angles on a low-energy surface. Here, a picosecond laser was used to modify the microtexture of aluminum alloy surfaces. Various microstructures were formed on the same surface, including the Laser-Induced Periodic Surface Structure (LIPSS), dual micro/nano hierarchical structures, and periodic arrays of a micropattern structure. Coating these microstructures with stearic acid was found to contribute to decreasing surface energy. The 92% fraction of the laser-machined to non-machined surface, when associated with different microgroove depths, created the capacity to form a superhydrophobic surface. Water droplets on a modified surface were transferred from hydrophilic at the Wenzel state to hydrophobic at the Cassie–Baxter state to a superhydrophobic state at microgroove depths ranging between 2.50 μm to 0.3 μm. The air pockets trapped in the microgrooves and nanocavities were found to subsidize the initiation of the composite interface underneath the water droplet.
Nanohydroxyapatite Loaded with 5-Fluorouracil and Calendula officinalis L. Plant Extract Rich in Myo-Inositols for Treatment of Ovarian Cancer Cells
Authors: Osial Magdalena , Wilczewski Sławomir , Szulc Joanna , Nguyen Hai Dang , Nguyen Thi Kieu Oanh , Skórczewska Katarzyna , Majkowska-Pilip Agnieszka , Żelechowska-Matysiak Kinga , Nieciecka Dorota , Pregowska Agnieszka , Nguyen Thu Phuong , Tymoszuk Alicja , Kulus Dariusz , Giersig Michael
Published: November 2023

In this study, the hydroxyapatite (HAp) in the form of nanoparticles was synthesized through the wet co-precipitation method and loaded with plant extract from Calendula officinalis L. rich in biologically active myo-inositol, and the 5-fluorouracil anticancer drug. The obtained nanomaterials have rod-like structures approx. 30 nm in diameter and 100 nm in length. FT-IR analysis results proved the immobilization of biologically active compounds. The loading of plant extract into the carrier improved the stability of colloidal suspension, which was confirmed with turbidimetry. The composite modified with calendula extract and drug (HAp@Cal@5-flu) effectively scavenges the DPPH radicals, with a radical scavenging activity (RSA) of about 20.0 ± 1.3%. The effect is supported by the DFT calculations of the HOMO-LUMO, presenting the chemical reactivity of the molecules loaded into the HAp. The in vitro cytotoxicity results on SKOV-3 ovarian cancer cells show the pronounced cytotoxic effect of the HAp@Cal@5-flu. The calendula extract loading into the carrier provided better interactions with the tumorous biomimetic membranes studied with a Langmuir trough, making it a promising material in nano-biomedicine, including drug delivery and targeted cancer treatment.
A Multi-Parameter-Coupled Mixed Lubrication Model for Rolling Interface Analysis: An Investigation on Interfacial Oil Pressure and Oil Film Thickness
Authors: Liu Qiu , Geng Longwei , Wu Huajie
Published: November 2023

Utilizing the average Reynolds equation, lubrication friction theory, metal rolling deformation theory, and temperature energy theory, a multi-parameter-coupling mixed lubrication model considering the influence of surface roughness with Gaussian distribution characteristics under rolling conditions was established. The results show that the stress distribution of the lubricating oil at the rolling interface conforms to the typical characteristics of line contact stress distribution. The oil film pressure does not increase significantly with the increase in the reduction ratio. A second peak pressure appears before the outlet. The second peak pressure reaches its maximum when ε = 0.2. The rolling speed has little effect on oil film pressure, but greatly affects oil film thickness. The influence of rolling speed mainly occurs in the outlet zone and at the second peak pressure location. The oil film thickness increases with rolling speed. During rolling, the temperature rise in the rolls exhibits two peak values. The first peak appears near the neutral point, and the second peak appears near the outlet, which is also where the second peak pressure is located. The influence of temperature will reduce the peak stress on the rolls. The overall stress on the rolls will also decrease.
Analyzing the Spread of Misinformation on Social Networks: A Process and Software Architecture for Detection and Analysis
Authors: Duzen Zafer , Riveni Mirela , Aktas Mehmet S.
Published: November 2023

The rapid dissemination of misinformation on social networks, particularly during public health crises like the COVID-19 pandemic, has become a significant concern. This study investigates the spread of misinformation on social network data using social network analysis (SNA) metrics, and more generally by using well known network science metrics. Moreover, we propose a process design that utilizes social network data from Twitter, to analyze the involvement of non-trusted accounts in spreading misinformation supported by a proof-of-concept prototype. The proposed prototype includes modules for data collection, data preprocessing, network creation, centrality calculation, community detection, and misinformation spreading analysis. We conducted an experimental study on a COVID-19-related Twitter dataset using the modules. The results demonstrate the effectiveness of our approach and process steps, and provides valuable insight into the application of network science metrics on social network data for analysing various influence-parameters in misinformation spreading.
Laser Fabrication of Gold–sp-Carbon Films
Authors: Kavokina Stella , Osipov Anton , Samyshkin Vlad , Abramov Andrey , Rozhkova Natalia , Kononenko Vitali , Konov Vitali , Kucherik Alexey
Published: November 2023

We develop a method for the laser synthesis and deposition of carbon–gold films formed by a net of linear sp-carbon chains and stabilized by gold nanoparticles. The originality of the method is in the simultaneous production of carbon chains and gold nanoparticles due to the laser fragmentation of the amorphous carbon and hydrogen tetrachloroaurate (III) or chloroauric acid. We study how surface resistivity alters the effect of the obtained films via the illumination in the visible spectral range.
An Optimized Control System for the Independent Control of the Inputs of the Doherty Power Amplifier
Authors: Sah Pallav , Poulton Matthew , Luyen Hung , Mahbub Ifana
Published: November 2023

This study presents a systematic design of an optimized drive signal control system for 2.5 GHz Doherty power amplifiers (DPAs). The designed system enables the analysis of the independent control of the amplitude and phase for the signals between the main and peak amplifiers of the DPA. The independent control of the signal is achieved by incorporating a variable attenuator (VA) and a variable phase shifter (VPS) in each of the two parallel paths of the DPA. This integration allows for driving varying power levels with an arbitrary phase difference between the individual parallel PAs for reduced control complexity and power consumption. The specific VA (Qorvo QPC6614) and VPS (Qorvo QPC2108) components are used for the test system to provide an amplitude attenuation range from 0.5 dB to 31.5 dB and a phase range from 0∘ to 360∘ at the intended operating frequency of 2.5 GHz, offering the benefit of characterizing the behavior of PAs for an extensive range of drive signals to optimize the output performance, such as PAE or the ACLR. For experimental validation, the designed drive signal control system is integrated with GaN PAs (Qorvo QPD0005—DUT) with a P1dB of 37.7 dBm. Each PA is preceded by a drive amplifier with a gain of 17.8 dB to boost the power fed into the PA. In this manuscript, we analyzed and compared the PAE of the DPA and parallel-connected PA for diverse input signals generated using a designed optimized control system.
Inter- and Intra-Examiner Reliability Study of Two-Point Discrimination Test (TPD) and Two-Point Estimation Task (TPE) in the Sacral Area of Pain-Free Individuals
Authors: Saulicz Edward , Saulicz Oskar , Koterba Jakub , Sikora Damian , Saulicz Aleksandra , Saulicz Mariola
Published: November 2023

Tactile acuity is typically measured by a two-point discrimination test (TPD) and a two-point estimation task (TPE). In the back area, they are only conducted in the lumbar and cervical regions of the spine. Considering that such measurements have not been conducted in the sacral regions, the purpose of this study was to assess the inter- and intra-examiner reliability of the TPD and TPE at the level of the S3 segment. The study included 30 pain-free subjects aged 20–30 years. Tests were performed with a pair of stainless hardened digital calipers. The TPD was measured in two locations: 5 and 15 cm from the midline; for TPE both, points were located inside the measured area. Session 1 involved assessments by two examiners in 10-min intervals. Session 2 was measured by one examiner, at analogous intervals between tests. The TPD inter-rater reliability was excellent for mean measurements (ICC3.2: 0.76–0.8; ICC3.3: 0.8–0.92); the intra-rater reliability was excellent for mean measurements (ICC2.2: 0.79–0.85; ICC2.3: 0.82–0.86). The TPE inter-rater reliability was good to excellent for mean measurements (ICC3.2: 0.65–0.92; ICC3.3: 0.73–0.94); the intra-rater reliability for all studies (ICC2.1, ICC2.2, ICC2.3) was excellent (0.85–0.89). Two measurements are sufficient to achieve good reliability (ICC ≥ 0.75), regardless of the assessed body side.
Exploring Transition from Stability to Chaos through Random Matrices
Authors: Silva Roberto da , Prado Sandra Denise
Published: November 2023

This study explores the application of random matrices to track chaotic dynamics within the Chirikov standard map. Our findings highlight the potential of matrices exhibiting Wishart-like characteristics, combined with statistical insights from their eigenvalue density, as a promising avenue for chaos monitoring. Inspired by a technique originally designed for detecting phase transitions in spin systems, we successfully adapted and applied it to identify analogous transformative patterns in the context of the Chirikov standard map. Leveraging the precision previously demonstrated in localizing critical points within magnetic systems in our prior research, our method accurately pinpoints the Chirikov resonance overlap criterion for the chaos boundary at K≈2.43, reinforcing its effectiveness. Additionally, we verified our findings by employing a combined approach that incorporates Lyapunov exponents and bifurcation diagrams. Lastly, we demonstrate the adaptability of our technique to other maps, establishing its capability to capture the transition to chaos, as evidenced in the logistic map.
Bio-Inspired Intelligent Systems: Negotiations between Minimum Manifest Task Entropy and Maximum Latent System Entropy in Changing Environments
Authors: Fox Stephen , Heikkilä Tapio , Halbach Eric , Soutukorva Samuli
Published: November 2023

In theoretical physics and theoretical neuroscience, increased intelligence is associated with increased entropy, which entails potential access to an increased number of states that could facilitate adaptive behavior. Potential to access a larger number of states is a latent entropy as it refers to the number of states that could possibly be accessed, and it is also recognized that functioning needs to be efficient through minimization of manifest entropy. For example, in theoretical physics, the importance of efficiency is recognized through the observation that nature is thrifty in all its actions and through the principle of least action. In this paper, system intelligence is explained as capability to maintain internal stability while adapting to changing environments by minimizing manifest task entropy while maximizing latent system entropy. In addition, it is explained how automated negotiation relates to balancing adaptability and stability; and a mathematical negotiation model is presented that enables balancing of latent system entropy and manifest task entropy in intelligent systems. Furthermore, this first principles analysis of system intelligence is related to everyday challenges in production systems through multiple simulations of the negotiation model. The results indicate that manifest task entropy is minimized when maximization of latent system entropy is used as the criterion for task allocation in the simulated production scenarios.
Nature-Based Solutions and the Decline of Pollution: Solving Problems to Learn Sustainable Development Goals
Authors: Vasconcelos Clara , Pinto Tânia
Published: November 2023

The Sustainable Development Goals (SDGs) are important issues that should be learned about in school, particularly those related to sustainable cities and communities. Target 6 of the 11th Goal mentions the special attention that should be paid to air quality. Nature-based solutions are a current theme that should be learned in school to empower students to contribute to planetary sustainability. In this context, a pedagogical intervention was developed through problem-based learning addressing air pollution. After two lessons of 50 min each, students presented a worksheet answered in groups, a group snapshot reflection, and the results of filling out a digital mural before and after the intervention. After a content analysis, the results of this evaluation study were reflected in the 105 students’ increasing knowledge about nature-based solutions to improve air quality. A positive appreciation of problem-based learning as an active methodology that motivates and increases students’ participation was also referred to.
A Novel Integrated Electronic Lighting Driver Circuit for Supplying an LED Projection Lamp with High Power Factor and Soft Switching Characteristics
Authors: Cheng Chun-An , Lee Ching-Min , Chang En-Chih , Hou Sheng-Hong , Lan Long-Fu , Lin Cheng-Kuan
Published: November 2023

The traditional light source of projection lamps adopts a halogen lamp, which has the advantages of high brightness, but its luminous efficiency is not good and consumes energy. A light-emitting diode (LED) has the characteristics of high luminous efficiency and energy savings and can be used as a new light source for projection lamps. The conventional two-stage electronic lighting driver circuit for supplying an LED projection lamp is composed of an AC-DC converter with power factor correction (PFC) as the first stage and a DC-DC converter for providing rated lamp voltage and current as the second stage. The conventional LED projection lamp driver circuit has more circuit components, a higher cost and limited efficiency. Therefore, this paper proposes a novel electronic lighting driver circuit for supplying an LED projection lamp with PFC function, which integrates a modified stacked dual boost converter and a half-bridge LLC resonant converter into a single-stage power-conversion circuit. The inductor inside the modified stacked boost converter is designed to operate at discontinuous conduction mode (DCM) for the driver circuit achieving PFC. Wide bandgap semiconductor devices silicon carbide (SiC)-based Schottky diodes are utilized to reduce power diode losses, and soft switching is implemented in the proposed LED projector lamp driver circuit to reduce the switching losses of the power switches and thus improve circuit efficiency. This paper has completed a single-stage prototype driver circuit for an LED projection lamp with PFC function, and the prototype circuit has a high power factor (PF > 0.98), low input current total-harmonic-distortion (THD < 6%) and high efficiency (>89%) in the case of an AC input power supply with an RMS value of 110 volts, and both power switches have the characteristics of soft switching.
Single-Stage Pose Estimation and Joint Angle Extraction Method for Moving Human Body
Authors: Wang Shuxian , Zhang Xiaoxun , Ma Fang , Li Jiaming , Huang Yuanyou
Published: November 2023

Detecting posture changes of athletes in sports is an important task in teaching and training competitions, but its detection remains challenging due to the diversity and complexity of sports postures. This paper introduces a single-stage pose estimation algorithm named yolov8-sp. This algorithm enhances the original yolov8 architecture by incorporating the concept of multi-dimensional feature fusion and the attention mechanism for automatically capturing feature importance. Furthermore, in this paper, angle extraction is conducted for three crucial motion joints in the motion scene, with polynomial corrections applied across successive frames. In comparison with the baseline yolov8, the improved model significantly outperforms it in AP50 (average precision) aspects. Specifically, the model’s performance improves from 84.5 AP to 87.1 AP, and the performance of AP50–95, APM, and APL aspects also shows varying degrees of improvement; the joint angle detection accuracy under different sports scenarios is tested, and the overall accuracy is improved from 73.2% to 89.0%, which proves the feasibility of the method for posture estimation of the human body in sports and provides a reliable tool for the analysis of athletes’ joint angles.
Deep-Learning-Based Water Quality Monitoring and Early Warning Methods: A Case Study of Ammonia Nitrogen Prediction in Rivers
Authors: Wang Xianhe , Qiao Mu , Li Ying , Tavares Adriano , Qiao Qian , Liang Yanchun
Published: November 2023

In line with rapid economic development and accelerated urbanization, the increasing discharge of wastewater and agricultural fertilizer usage has led to a gradual rise in ammonia nitrogen levels in rivers. High concentrations of ammonia nitrogen pose a significant challenge, causing eutrophication and adversely affecting the aquatic ecosystems and sustainable utilization of water resources. Traditional ammonia nitrogen detection methods suffer from limitations such as cumbersome sample handling and analysis, low sensitivity, and lack of real-time and dynamic feedback. In contrast, automated monitoring and ammonia nitrogen prediction technologies offer more efficient methods and accurate solutions. However, existing approaches still have some shortcomings, including sample processing complexity, interference issues, and the absence of real-time and dynamic information feedback. Consequently, deep learning techniques have emerged as promising methods to address these challenges. In this paper, we propose the application of a neural network model based on Long Short-Term Memory (LSTM) to analyze and model ammonia nitrogen monitoring data, enabling high-precision prediction of ammonia nitrogen indicators. Moreover, through correlation analysis between water quality parameters and ammonia nitrogen indicators, we identify a set of key feature indicators to enhance prediction efficiency and reduce costs. Experimental validation demonstrates the potential of our proposed approach to improve the accuracy, timeliness, and precision of ammonia nitrogen monitoring and prediction, which could provide support for environmental management and water resource governance.
Impact of Uninsulated Slab-on-Grade and Masonry Walls on Residential Building Overheating
Authors: Kuczyński Tadeusz , Staszczuk Anna
Published: November 2023

Studies of the effects of removing underfloor insulation and increasing the thermal capacity of building walls are currently found almost exclusively in existing vernacular architecture and rammed-earth buildings, mostly in countries with warm climates. This paper proposes the combined use of these two measures to reduce the risk of overheating in a detached single-family house in a temperate climate during the summer. Experimental studies conducted during the largest heat wave on record in the summer of 2019 showed that peak daytime temperatures decreased by 5.2 °C to 7.1 °C, and peak nighttime temperatures decreased by 4.7 °C to 6.8 °C. Simulation studies taking into account occupant heat showed that the proposed passive methods could, under the IPCC 8.5 scenario, eliminate the need for mechanical cooling in a detached single-family house in the temperate climate of Central and Eastern Europe by 2100. The actual heating energy consumption for the building with an uninsulated floor and increased wall heat capacity was 5.5 kWh/m2 higher than for the reference building, indicating that it can be a near-zero energy building. The proposed concept is in line with the new approach to the energy design of buildings, which should not be limited to reducing thermal energy demand, but should also respond to the needs arising from global warming.
Cluster Analysis and Macroeconomic Indicators and Their Effects on the Evolution of the Use of Clean Energies
Authors: Chahuán-Jiménez Karime , Rubilar-Torrealba Rolando , de la Fuente-Mella Hanns , Geldres-Weiss Valeska V.
Published: November 2023

The aim of this research is to relate clean energies, CO2 emissions, and economic variables. Relationships can be generated that characterize countries that manage to relate the use of clean energy with GDP, economic openness, and economic growth. We employ a quantitative methodology that utilizes clustering techniques to identify distinct groups of countries based on their susceptibility to climate change impacts. Subsequently, we employ a generalized linear model approach to estimate the investment behaviors of these country groups in alternative energy sources in relation to CO2 emissions and macroeconomic variables. The clusters reveal that the countries grouped in each cluster exhibit significantly distinct behaviors among the clusters. This differentiation is grounded in the countries under analysis, showing the evolution of the countries in terms of the use of clean energy and the emission of CO2 in relation to macroeconomic variables. According to the conducted research, there are different groups with differentiated behavior in terms of energy consumption and CO2 emissions, which implies the implementation of policies consistent with the development characteristics of the countries and how they cope with climate risk. Moreover, as a result of this research, a recommendation for policy makers could be that sustainable and clean development countries are based in three different sustainability dimensions: environmental, economic, and social.
Battery Electric Storage Systems: Advances, Challenges, and Market Trends
Authors: Saldarini Alessandro , Longo Michela , Brenna Morris , Zaninelli Dario
Published: November 2023

The increasing integration of renewable energy sources (RESs) and the growing demand for sustainable power solutions have necessitated the widespread deployment of energy storage systems. Among these systems, battery energy storage systems (BESSs) have emerged as a promising technology due to their flexibility, scalability, and cost-effectiveness. This paper aims to provide a comprehensive review of the diffusion and deployment of BESSs across various applications, analyzing their impact on grid stability, renewable energy integration, and the overall energy transition. The paper examines the key drivers and challenges associated with BESS adoption, as well as market trends influencing their proliferation. Through an analysis of empirical data, this study aims to shed light on the current state of BESS diffusion. Finally, this research contributes to the knowledge base surrounding battery storage technology and provides insights into its role in achieving a sustainable and reliable energy future.
Experimental Design of an Innovative Electromechanical System for Induction Heating-Based Air Heating: Exploring Temperature Dynamics and Energy Efficiency
Authors: Mansoor Gafar , Che Yanbo
Published: November 2023

The energy efficiency of supplies is crucial for the energy economy. The development of new and more efficient air heaters is a relevant topic for various industrial applications. In the formulation of air heating using a novel and flexible electromechanical system that accomplishes heating air to varying temperatures, this study examines the efficacy of using induction heating as a fundamental component of air heating systems and focuses on the effective heating of moving metal parts by electromagnetic coupling, thereafter transmitting the generated heat to the experimental facilities. The study delved into an exploration of numerous factors within a closed system, encompassing aspects such as area, temperature, and energy. Using a full-bridge ZVS circuit with an inductive coil design, fan speed variations and temperature measurements were systematically carried out to investigate the impact of induction heating on temperature changes within the given experimental setups. The results of an experiment conducted in a half-cubic-meter enclosed environment reveal significant temperature fluctuations with the varying velocities of moving metal elements, presenting a maximal rate of 17.7 degrees Celsius per hour and an efficiency factor of 64.15%. With continued refinement, this innovative technology has the potential to become an energy-efficient alternative to conventional heating techniques for a variety of applications, including industrial operations and residential heating.
Grid-Forming Control: Advancements towards 100% Inverter-Based Grids—A Review
Authors: Ebinyu Emmanuel , Abdel-Rahim Omar , Mansour Diaa-Eldin A. , Shoyama Masahito , Abdelkader Sobhy M.
Published: November 2023

Changes are being implemented in the electrical power grid to accommodate the increased penetration of renewable energy sources interfaced with grid-connected inverters. The grid-forming (GFM) control paradigm of inverters in active power grids has emerged as a technique through which to tackle the effects of the diminishing dominance of synchronous generators (SGs) and is preferred to the grid-following (GFL) control for providing system control and stability in converter-dominated grids. Therefore, the development of the GFM control is important as the grid advances towards 100% inverter-based grids. In this paper, therefore, we aim to review the changing grid scenario; the behaviour of grid-connected inverter control paradigms and major GFM inverter controls, including their modifications to tackle low inertia, reduced power quality, fault-ride through capability, and reduced stability; and the state-of-the-art GFM models that are pushing the universality of GFM inverter control.
Study of the Synthesis Variables in the Preparation of CoAl2O4 Pigment Using Microwaves to Reduce Energetic Consumption
Authors: Paulo-Redondo Guillermo , Nebot-Díaz Isaac
Published: November 2023

Due to the importance of optimizing the manufacture of ceramic pigments, motivated by the increase in prices of both raw materials and energy, and the need to control manufacturing parameters to obtain optimal conditions for the preparation of ceramic inks, two synthesis routes (traditional route and coprecipitation) and two calcination methods (traditional oven and microwave oven) are proposed to obtain the blue ceramic pigment CoAl2O4 with the aim of minimizing the use of mineralizers or flux agents and reducing energy consumption in its manufacturing. The pigments prepared were characterized by thermal analysis and structurally by XRD and SEM, with particle sizes below 300 nm observed. Finally, the colorimetric coordinates of glazed tiles with the pigments obtained were characterized. In all cases, the microwave-assisted synthesis increased the color intensity, considerably decreasing the temperature and calcination time, obtaining a particle size under 300 nm with a very narrow size distribution, and substantially improving the energy cost of its preparation and the color development of the final product. The viability of the combination of synthesis by coprecipitation and microwave calcination as a method of industrial preparation of ceramic pigments has been demonstrated.
How Can Climate Change Impact Human Health via Food Security? A Bibliometric Analysis
Authors: Baars Caterina , Barbir Jelena , Paulino Pires Eustachio João Henrique
Published: November 2023

Global climate change, induced by anthropogenic causes, has severe consequences for Earth and its inhabitants. With the consequences already visible around the globe, one of them is the impact on food security. The lack of food security has serious impacts on health, especially in vulnerable populations who highly depend on a nutritious diet for a healthy life. The following research aims to assess the current research status of climate change, food security and health. In this context, the interlinkage of the three key concepts is analyzed, as well as the related health consequences. To achieve the aims of this research, a bibliometric analysis was conducted using VOSviewer, (version 1.6.16) including 453 papers. The data were retrieved from the Scopus database on 10 November 2022. Bibliometric analysis can illustrate emerging and key topic areas using keywords and co-occurrence analysis; hence, it is an adequate method to meet the listed research aims. Five different clusters have been derived from the analysis, each representing a different perspective on interlinkage. From the different clusters, the main consequences of climate change on food security could be derived, such as a decrease in crop yields, less availability of fish and livestock, or food contamination through mycotoxins. These can cause serious health implications, predominantly increasing the rate of malnutrition globally. The work showed the importance of action to prevent the consequences of climate change in relation to food security and health nexus. To do so, adaptation strategies are needed that consider the interdisciplinary scope of the problem, building sustainable measures that benefit each concept.
Whole-Genome Analysis of Novacetimonas cocois and the Effects of Carbon Sources on Synthesis of Bacterial Cellulose
Authors: Zheng Yujuan , Chen Min , Li Jiaxin , Fei Shuangwen , Shang Shuai , Liu Sixin , Liu Longxiang , Li Congfa
Published: November 2023

Novacetimonas cocois WE7 (formally named Komagataeibacter cocois WE7) is a strain isolated from contaminated coconut milk, capable of producing bacterial cellulose (BC). We sequenced its genome to investigate why WE7 cannot synthesize BC from glucose efficiently. It contains about 3.5 Mb and six plasmid DNAs. N. cocois WE7 contains two bcs operons (bacterial cellulose operon, bcs I and bcs II); the absence of bcs III operons may lead to reduced BC production. From genome predictions, glucose, sucrose, fructose, maltose, and glycerol can be utilized to generate BC, with WE7 unable to metabolize carbohydrate carbon sources through the Embden–Meyerhof–Parnas (EMP) pathway, but rather through the Hexose Monophosphate Pathway (HMP) and tricarboxylic acid (TCA) pathways. It has a complete gluconic acid production pathway, suggesting that BC yield might be very low when glucose, maltose, and trehalose are used as carbon sources. This study represents the first genome analysis of N. cocois. This information is crucial for understanding BC production and regulation mechanisms in N. cocois and lays a foundation for constructing engineered strains tailored for diverse BC application purposes.
Effect of Alkaline Mineral Complex Buffer Supplementation on Rumen Fermentation, Rumen Microbiota and Rumen Epithelial Transcriptome of Newborn Calves
Authors: Wang Xiaowei , Guo Cheng , Xu Xiaofeng , Zhang Lili , Li Shengli , Dai Dongwen , Du Wen
Published: November 2023

Alkaline mineral complex buffer can improve rumen fermentation and affect the rumen microbiota of dairy cows. Here, we studied the effects of alkaline mineral complex buffer on serum immunity indexes, rumen fermentation and the microbiota of newborn calves. We also investigated changes in the rumen epithelial transcriptome expression profile. Compared with the control group, at 15 d, the serum contents of TP and GLB in the treatment group increased significantly (p < 0.05). At 30 d, the serum contents of GLB in the treatment group increased significantly (p < 0.05). At 45 d, the serum contents of IgG in the treatment group increased significantly (p < 0.05). At 60 d, the serum contents of TP and IgG in the treatment group increased significantly (p < 0.05). Rumen pH in the treatment groups was significantly increased at different days of age (p < 0.05). The microbial community composition in the rumen was determined using bacterial and archaeal 16S ribosomal RNA (rRNA) gene amplicon-sequencing. Analysis of bacterial composition in the rumen showed that there was no significant difference in bacterial diversity (p > 0.05). At the phylum level, Firmicutes were significantly decreased and Bacteroidetes were significantly increased in the treatment group at 30 d (p < 0.05). At the genus level, Prevotella_1, Olsenella, Christensenellaceae_R-7_group were significantly increased, and Lachnospiraceae_NK3A20_group, Ruminococcaceae_UCG-014 and Ruminococcus_2 were significantly decreased in the treatment group at 30 d (p < 0.05). Christensenellaceae_R-7_group was significantly increased in the treatment group (p < 0.05) at 45 d. Prevotella_9 was significantly decreased, and Prevotellaceae_UCG_001, Christensenellaceae_R-7_group were significantly increased in the treatment group at 60 d (p < 0.05). RNA sequence analysis of the rumen epithelium showed that 232 differentially expressed genes were screened, of which 158 were upregulated and 74 were downregulated. The main enrichment pathway was related to immune regulation. In conclusion, alkaline mineral complex buffer can enhance the body’s immune response, regulate rumen fermentation by regulating the abundance of rumen microbiota and upregulate immune-related genes in rumen tissues to promote immune regulation. The results of this study provide a reference for the early nutritional regulation of newborn calves with an alkaline mineral complex buffer.