bluuebunny/crossref_metadata_2025 huggingface dataset:
Extending the Shelf Life of Apples After Harvest Using Edible Coatings as Active Packaging—A Review
Authors: Mikus Magdalena , Galus Sabina
Published: January 2025

Extending the shelf life of perishable food, such as apples, and storing them in cold conditions and/or controlled atmospheres have been of great interest in the last decades. Apples are very valuable fruits with many health benefits, but during storage at ambient conditions, they ripen quickly and lose moisture, causing lower crispness or other negative effects, resulting in waste problems. There has been growing attention to protective edible coatings or active packaging films based on biopolymers and natural bioactive substances. Edible coatings and films allow for combination with functional ingredients or compounds, affecting the maintenance of the postharvest quality of fruits and vegetables. They also ensure the preservation of the sensory characteristics of food, and they can have antimicrobial or antioxidant properties. All these aspects play a significant role in the storage of apples, which can also help prevent waste, which is in line with the circular economy approach. The functionality of coatings and films is closely related to the type, content, and composition of active compounds, as well as their interaction with biopolymers. Active coatings with the addition of different functional compounds, such as plant extracts, phenolic acids, and nanoparticles, can be an alternative solution affecting the postharvest quality of apples during storage, maintaining the fruit’s stability, and thus minimising their waste. The most important issues related to the latest reports on improving the postharvest quality of apples using edible coatings incorporated with various active substances were evaluated. Agricultural conditions and factors that affect the postharvest quality of apples were described. The requirements for protective coatings for apples should be focused on low-cost materials, including waste-based resources, good miscibility, and compatibility of components. Those factors combined with the storage conditions may result in shelf life extension or retention of the postharvest quality of apples, regardless of the variety or cultivation techniques.
Artificial Intelligence in Educational Data Mining and Human-in-the-Loop Machine Learning and Machine Teaching: Analysis of Scientific Knowledge
Authors: López-Meneses Eloy , López-Catalán Luis , Pelícano-Piris Noelia , Mellado-Moreno Pedro C.
Published: January 2025

This study explores the integration of artificial intelligence (AI) into educational data mining (EDM), human-assisted machine learning (HITL-ML), and machine-assisted teaching, with the aim of improving adaptive and personalized learning environments. A systematic review of the scientific literature was conducted, analyzing 370 articles published between 2006 and 2024. The research examines how AI can support the identification of learning patterns and individual student needs. Through EDM, student data are analyzed to predict student performance and enable timely interventions. HITL-ML ensures that educators remain in control, allowing them to adjust the system according to their pedagogical goals and minimizing potential biases. Machine-assisted teaching allows AI processes to be structured around specific learning criteria, ensuring relevance to educational outcomes. The findings suggest that these AI applications can significantly improve personalized learning, student tracking, and resource optimization in educational institutions. The study highlights ethical considerations, such as the need to protect privacy, ensure the transparency of algorithms, and promote equity, to ensure inclusive and fair learning environments. Responsible implementation of these methods could significantly improve educational quality.
Design of Shadow Filter Using Low-Voltage Multiple-Input Operational Transconductance Amplifiers
Authors: Kumngern Montree , Khateb Fabian , Kulej Tomasz , Wattikornsirikul Natchayathorn
Published: January 2025

This paper introduces shadow filters that employ multiple-input operational transconductance amplifiers (MI-OTAs) as the active component. Two configurations of shadow filters are proposed. The first configuration, in contrast to previous designs, enables the adjustment of the quality factor without affecting the passband gains of the BPF, LPF, and HPF, thus achieving optimal frequency responses for these filters. The second configuration allows for the variation of the natural frequency without impacting the passband gains of the HPF, LPF, and BPF, maintaining constant passband gains. Moreover, the natural frequency can be electronically controlled by modifying parameters of the original biquad filters, providing advantages in compensating for process, voltage, and temperature variations. The MI-OTA is designed to provide multiple-input differential terminals using the multiple-input bulk-driven MOS transistor (MIBD-MOST) technique, allowing differential input signals to be converted into current output through its transconductance gain. The OTA operates at a supply voltage of 450 mV and consumes 81 nW of power, with the MOS transistors operating in weak inversion. The OTA and shadow filters were designed and simulated using a 0.18 µm CMOS process to validate the functionality and performance of the proposed circuits.
Review of Streptococcus salivarius BLIS K12 in the Prevention and Modulation of Viral Infections
Authors: Tagg John R. , Harold Liam K. , Hale John D. F.
Published: January 2025

The discovery and application of bacteriocin-producing probiotics, such as Streptococcus salivarius K12 (BLIS K12), represent significant advances in the prevention and management of bacterial infections, particularly in the oral cavity and upper respiratory tract. Originally developed for its bacteriocin-mediated inhibition of the important bacterial pathogen Streptococcus pyogenes, BLIS K12 has more recently also demonstrated potential in the modulation and prevention of viral infections, including COVID-19. Emerging evidence also suggests a broader role for BLIS K12 in immune regulation, with implications for controlling hyperinflammatory responses and enhancing mucosal immunity. Of particular interest is recent work indicating that BLIS K12 can modulate antibody responses against viral antigens, such as the SARS-CoV-2 spike protein, positioning it as a unique adjunct in managing viral infections. This review chronicles the pathway of BLIS K12’s probiotic development, emphasizing its relevant bacteriocin mechanisms, oral health applications, emerging antiviral properties, and potential broader health benefits through immune modulation, all of which position it as a significant non-pharmacological adjunct in managing respiratory and immune health
The Internal Heterogeneity of Carbon Emissions in Megacities: A Case Study of Beijing, China
Authors: Wang Zheng , Gu Kangkang , Yu Hu
Published: January 2025

Cities are of wide concern to scholars due to their major share of global carbon emissions. Energy-related carbon emissions differ significantly among cities, especially megacities, due to regional heterogeneity in socioeconomic conditions. To analyze the differences in influencing factors on carbon emissions within megacities, and further target emission reductions, measures were developed. Beijing was selected to investigate influencing factor differences in the core zones, developing zones and ecological zones using the STIRPAT model on the county level. The results show the following: (1) Regional heterogeneity existed in Beijing in carbon emissions changes from 2010 to 2022. The carbon emissions of the core zones grew steadily and were demonstrated as a major part of Beijing. (2) There were variations in the influencing factors of emissions. Population size was the major driving factor of emissions in the core zones, while emissions in the developing zones and ecological zones were driven primarily by GDP per capita. Notably, urbanization promoted the increase in carbon emissions in the developing zones, but had a negative influence on emissions in the ecological zones. The energy intensity was the primary negative force of carbon emissions in the three zones. (3) The differences in population, economic scale, industrial structure and technological level lead to the heterogeneity of carbon emissions in Beijing. The three zones should formulate targeted emission reduction measures based on the primary factors of carbon emissions and their functional positioning.
Current Treatment Regimens and Promising Molecular Therapies for Chronic Hepatobiliary Diseases
Authors: Durazzo Marilena , Ferro Arianna , Navarro-Tableros Victor Manuel , Gaido Andrea , Fornengo Paolo , Altruda Fiorella , Romagnoli Renato , Moestrup Søren K. , Calvo Pier Luigi , Fagoonee Sharmila
Published: January 2025

Chronic hepatobiliary damage progressively leads to fibrosis, which may evolve into cirrhosis and/or hepatocellular carcinoma. The fight against the increasing incidence of liver-related morbidity and mortality is challenged by a lack of clinically validated early-stage biomarkers and the limited availability of effective anti-fibrotic therapies. Current research is focused on uncovering the pathogenetic mechanisms that drive liver fibrosis. Drugs targeting molecular pathways involved in chronic hepatobiliary diseases, such as inflammation, hepatic stellate cell activation and proliferation, and extracellular matrix production, are being developed. Etiology-specific treatments, such as those for hepatitis B and C viruses, are already in clinical use, and efforts to develop new, targeted therapies for other chronic hepatobiliary diseases are ongoing. In this review, we highlight the major molecular changes occurring in patients affected by metabolic dysfunction-associated steatotic liver disease, viral hepatitis (Delta virus), and autoimmune chronic liver diseases (autoimmune hepatitis, primary biliary cholangitis, and primary sclerosing cholangitis). Further, we describe how this knowledge is linked to current molecular therapies as well as ongoing preclinical and clinical research on novel targeting strategies, including nucleic acid-, mesenchymal stromal/stem cell-, and extracellular vesicle-based options. Much clinical development is obviously still missing, but the plethora of promising potential treatment strategies in chronic hepatobiliary diseases holds promise for a future reversal of the current increase in morbidity and mortality in this group of patients.
Evaluating the Diagnostic Value of Lymphocyte Subsets in Bronchoalveolar Lavage Fluid and Peripheral Blood Across Various Diffuse Interstitial Lung Disease Subtypes
Authors: Harada Sonoko , Kato Motoyasu , Nakagome Kazuyuki , Sasano Hitoshi , Tanabe Yuki , Takeshige Tomohito , Sandhu Yuuki , Matsuno Kei , Ueda Shoko , Abe Sumiko , Nishimaki Takayasu , Shinomiya Shun , Ito Jun , Miyake Sachiko , Okumura Ko , Nagata Makoto , Takahashi Kazuhisa , Harada Norihiro
Published: January 2025

Diffuse interstitial lung diseases (ILD) include conditions with identifiable causes such as chronic eosinophilic pneumonia (CEP), sarcoidosis (SAR), chronic hypersensitivity pneumonitis (CHP), and connective tissue disease-associated interstitial pneumonia (CTD), as well as idiopathic interstitial pneumonia (IIP) of unknown origin. In non-IIP diffuse lung diseases, bronchoalveolar lavage (BAL) fluid appearance is diagnostic. This study examines lymphocyte subsets in BAL fluid and peripheral blood of 56 patients with diffuse ILD, excluding idiopathic pulmonary fibrosis (IPF), who underwent BAL for diagnostic purposes. Patients were classified into CEP, SAR, CHP, CTD, and IIP groups, and clinical data, BAL cell analysis, and peripheral blood mononuclear cell analysis were compared. Eosinophils and type 3 innate lymphocytes (ILC3s) were significantly increased in the BAL fluid of the CEP group. Receiver operating characteristic curve analysis identified eosinophils ≥ 8% in BAL cells and ILC3s ≥ 0.0176% in the BAL lymphocyte fraction as thresholds distinguishing CEP. SAR patients exhibited significantly elevated CD4/CD8 ratios in the BAL fluid, with a ratio of 3.95 or higher and type 1 innate lymphoid cell frequency ≥ 0.254% as differentiation markers. High Th1 cell frequency (≥17.4%) in BAL lymphocytes in IIP, elevated serum KL-6 (≥2081 U/mL) and SP-D (≥261 ng/mL) in CHP, and increased BAL neutrophils (≥2.0%) or a low CD4/CD8 ratio (≤1.2) in CTD serve as distinguishing markers for each ILD. Excluding CEP and SAR, CD4+ T cell frequencies, including Th1, Th17, and Treg cells in peripheral blood, may differentiate IIP, CHP, and CTD.
Remodeling of Mitochondria–Endoplasmic Reticulum Contact Sites Accompanies LUHMES Differentiation
Authors: Norouzi Esfahani Emad , Knedlik Tomas , Shin Sang Hun , Magalhães Rebelo Ana Paula , De Mario Agnese , Vianello Caterina , Persano Luca , Rampazzo Elena , Edomi Paolo , Bean Camilla , Brunetti Dario , Scorrano Luca , Greco Samuele , Gerdol Marco , Giacomello Marta
Published: January 2025

Neural progenitor cells (NPCs) are often used to study the subcellular mechanisms underlying differentiation into neurons in vitro. Works published to date have focused on the pathways that distinguish undifferentiated NPCs from mature neurons, neglecting the earlier and intermediate stages of this process. Current evidence suggests that mitochondria interaction with the ER is fundamental to a wide range of intracellular processes. However, it is not clear whether and how the mitochondria–ER interactions differ between NPCs and their differentiated counterparts. Here we take advantage of the widely used NPC line LUHMES to provide hints on the mitochondrial dynamic trait changes that occur during the first stage of their maturation into dopaminergic-like neurons. We observed that the morphology of mitochondria, their interaction with the ER, and the expression of several mitochondria–ER contact site resident proteins change, which suggests the potential contribution of mitochondria dynamics to NPC differentiation. Further studies will be needed to explore in depth these changes, and their functional outcomes, which may be relevant to the scientific community focusing on embryonic neurogenesis and developmental neurotoxicity.
Exploring the Gating Mechanism of the Human Copper Transporter, hCtr1, Using EPR Spectroscopy
Authors: Peleg Shahaf , Meron Shelly , Shenberger Yulia , Hofmann Lukas , Gevorkyan-Airapetov Lada , Ruthstein Sharon
Published: January 2025

Ctr1 is a membrane-spanning homotrimer that facilitates copper uptake in eukaryotic cells with high affinity. While structural details of the transmembrane domain of human Ctr1 have been elucidated using X-ray crystallography and cryo-EM, the transfer mechanisms of copper and the conformational changes that control the gating mechanism remain poorly understood. The role of the extracellular N-terminal domains is particularly unclear due to the absence of a high-resolution structure of the full-length hCtr1 protein and limited biochemical and biophysical characterization of the transporter in solution and in cell. In this study, we employed distance electron paramagnetic resonance to investigate the conformational changes of the extracellular N-terminal domain of full-length hCtr1, both in vitro and in cells, as a function of Cu(I) binding. Our results demonstrate that at specific Cu(I) concentrations, the extracellular chains move closer to the lumen to facilitate copper transfer. Additionally, while at these concentrations the intracellular part is penetrating the lumen, suggesting a ball-and-chain gating mechanism. Moreover, this phenomenon was observed for both reconstituted protein in micelles and in native cell membranes. However, the measured distance values were slightly different, suggesting that the membrane’s characteristics and therefore its lipid composition also impact and even regulate the gating mechanism of hCtr1.
Diffusion Tensor Imaging as Neurologic Predictor in Patients Affected by Traumatic Brain Injury: Scoping Review
Authors: Paolini Federica , Marrone Salvatore , Scalia Gianluca , Gerardi Rosa Maria , Bonosi Lapo , Benigno Umberto Emanuele , Musso Sofia , Scerrati Alba , Iacopino Domenico Gerardo , Signorelli Francesco , Maugeri Rosario , Visocchi Massimiliano
Published: January 2025

Background: Diffusion tensor imaging (DTI), a variant of Diffusion Weighted Imaging (DWI), enables a neuroanatomical microscopic-like examination of the brain, which can detect brain damage using physical parameters. DTI’s application to traumatic brain injury (TBI) has the potential to reveal radiological features that can assist in predicting the clinical outcomes of these patients. What is the ongoing role of DTI in detecting brain alterations and predicting neurological outcomes in patients with moderate to severe traumatic brain injury and/or diffuse axonal injury? Methods: A scoping review of the PubMed, Scopus, EMBASE, and Cochrane databases was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. The aim was to identify all potentially relevant studies concerning the role of DTI in TBI. From an initial pool of 3527 publications, 26 articles were selected based on relevance. These studies included a total of 729 patients with moderate to severe TBI and/or diffuse axonal injury. DTI parameters were analyzed to determine their relationship with neurological outcomes post-TBI, with assessments of several brain functions and regions. Results: The studies included various DTI parameters, identifying significant relationships between DTI variations and neurological outcomes following TBI. Multiple brain functions and regions were evaluated, demonstrating the capability of DTI to detect brain alterations with higher accuracy, sensitivity, and specificity than MRI alone. Conclusions: DTI is a valuable tool for detecting brain alterations in TBI patients, offering enhanced accuracy, sensitivity, and specificity compared to MRI alone. Recent studies confirm its effectiveness in identifying neurological impairments and predicting outcomes in patients following brain trauma, underscoring its utility in clinical settings for managing TBI.
Research Progress on Effects of Antifreeze Components, Nanoparticles and Pre-Curing on the Properties of Low-Temperature Curing Materials
Authors: Yao Xianhua , Wan Mingduo , Zhu Yongsheng , Niu Lihua , Ji Xiaoxiang , Chen Shengqiang , He Wei , Han Linyan
Published: January 2025

There are long periods of winter construction in China’s eastern and western Alpine regions. The decreased construction temperature adversely affects the workability, mechanical properties, and durability of cement-based materials and alkali-activated materials. Under low-temperature curing conditions, the hydration reaction of these materials slows down, resulting in limited strength development and reduced durability. In response to this problem, researchers have summarized three measures to improve performance: the use of anti-freezing components, nanoparticles, and pre-curing. The effects of anti-freezing components on the mechanical properties and micro-mechanism changes of Portland cement, sulphoaluminate cement, magnesium phosphate cement-based materials, and alkali-activated cementitious materials are organized. Additionally, the improvement of macro-micro properties in cement-based materials through mineral admixtures, nanoparticles, and hydrated calcium silicate seeds is summarized. The influence of pre-curing on the mechanical properties of cement-based materials is analyzed, focusing on the relationship between pre-curing time and the critical strength of frost resistance. Finally, existing research challenges are summarized, and future research directions are proposed, providing valuable references for the further development of materials and engineering applications.
Assessing Durability and Stability of Calcium Sulfoaluminate Cement-Stabilized Soils Under Cyclic Wet–Dry Conditions
Authors: Rauf Ayesha , Moon Sung-Woo , Satyanaga Alfrendo , Kim Jong
Published: January 2025

Periodic wet–dry processes are a significant weathering mechanism that can quickly alter a soil’s mechanical characteristics, reducing its resilience and durability. This study investigates the physical and microstructural characterization of stabilized soils through experimental analysis. While the conventional approach to ground improvement involves the application of ordinary Portland cement (OPC) and lime for treating unstable soil, this research explores calcium sulfoaluminate (CSA) cement as an eco-friendly alternative with comparable efficacy and fewer adverse environmental effects. The primary objective is to evaluate the impact of cyclic wet–dry (W–D) events on the durability and stability of CSA cement-treated sand using comprehensive laboratory testing. Various samples were prepared with cement contents of 3%, 5%, 7%, and 10%, corresponding to the optimum moisture content. Stabilized soil specimens underwent testing for unconfined compressive strength (UCS) and ultrasonic pulse velocity (UPV) after curing for 3, 7, 14, and 28 days. Subsequently, these specimens were exposed to zero, one, three, five, and seven W–D cycles. The outcomes show a decrease in the strength and durability index of the soil with a rising number of W–D cycles. However, the decline in the strength and durability of CSA-treated soil samples is significantly mitigated as the CSA content increases from 3% to 10%. The findings indicate that after seven W–D cycles, the UCS value of 10% cemented samples dropped by 14% after 28 days of curing, whereas 3% specimens experienced a 28% loss in strength. Similarly, UCS values for 5% and 7% cement content reduced from 666 kPa to 509 kPa and from 1587 kPa to 1331 kPa, respectively, indicating improved resilience with higher CSA content. The durability index was less affected during the first three cycles, but showed a more pronounced decline after five and seven cycles. For 3% cemented soil, the durability index dropped from 0.95 to 0.71, whereas for 10% cemented soil, it decreased from 0.97 to 0.82 after seven W–D cycles. The scanning electron microscope (SEM) also determines the cement–soil interaction before and after W–D, and it was noted that the pores and cracks increased after each cycle. Based on the findings, it is established that subgrade materials treated with CSA cement demonstrate durability, environmental sustainability, and suitability for integration into road construction projects.
Prevention and Treatment of Venous Thromboembolism Associated with Amivantamab-Based Therapies in Patients with Lung Cancer—Provisional Clinical Opinion Based on Existing Clinical Practice Guidelines
Authors: Moik Florian , Absenger Gudrun , Wurm Robert , Hochmair Maximilian J. , Ay Cihan
Published: January 2025

Improved efficacy has been shown for amivantamab and amivantamab-based combination therapies in patients with epidermal growth factor receptor (EGFR)-mutated non-small cell lung cancer (NSCLC) compared to established treatment options in clinical trials. However, a high risk of venous thromboembolism (VTE) was observed in patients treated with amivantamab-based therapies, with considerable differences in VTE risk according to the line of systemic treatment, concomitant treatment with lazertinib, and intravenous vs. subcutaneous amivantamab administration. Based on early reports of high VTE rates, prophylactic anticoagulation has been implemented in ongoing clinical trials for the first 4 months of amivantamab–lazertinib therapy. However, open questions remain concerning the type, dosing, and duration of primary pharmacological thromboprophylaxis in patients treated with amivantamab-based therapies. Therefore, the aim of this clinical opinion piece is to provide provisional guidance on how to mitigate VTE risk in patients treated with amivantamab-based therapies following existing clinical practice guidelines on primary thromboprophylaxis and treatment of VTE in ambulatory patients with cancer.
Photocatalytic NO Removal by Ternary Composites Bi12GeO20/BiOCl/W18O49 Using a Waste Reutilization Strategy
Authors: Chang Fei , Bao Wenlong , Li Jiayi , Zhao Zhongyuan , Liu Dengguo
Published: January 2025

Heterojunction creation is demonstrated as an effective strategy to enhance the transfer and separation of charge carriers, which is beneficial for subsequent photocatalytic reactions. In this study, “sea urchin-like” W18O49 was in situ-grown on the surface of Bi12GeO20 through a hydrothermal process, and the released Cl− anions tended to produce BiOCl simultaneously. Systematical characterizations confirmed the construction of ternary composites Bi12GeO20/BiOCl/W18O49 (GBW), in which Type I and Z-scheme models were integrated to promote charge carrier migration and separation by combining the structural merits of both models. Under UV–visible light, the catalytic performance of the as-synthesized samples was tested in terms of NO oxidation removal. Compared to pure Bi12GeO20, the composite GBW5 showed the highest NO photocatalytic removal efficiency of 42%, which was nearly four times that of pure Bi12GeO20. These improvements were mainly due to enhanced light absorption, suitable morphological features, effective separation of charge carriers, and the boosted generation of reactive species in the GBW series. This study paves the way for the construction of Bi12GeO20-based ternary composites using a comprehensive utilization of waste method and the employment of the composites for the photocatalytic removal of low concentrations of NO at the ppb level.
Targeting the 8-oxodG Base Excision Repair Pathway for Cancer Therapy
Authors: Piscone Anna , Gorini Francesca , Ambrosio Susanna , Noviello Anna , Scala Giovanni , Majello Barbara , Amente Stefano
Published: January 2025

Genomic integrity is critical for cellular homeostasis, preventing the accumulation of mutations that can drive diseases such as cancer. Among the mechanisms safeguarding genomic stability, the Base Excision Repair (BER) pathway plays a pivotal role in counteracting oxidative DNA damage caused by reactive oxygen species. Central to this pathway are enzymes like 8-oxoguanine glycosylase 1 (OGG1), which recognize and excise 8-oxo-7,8-dihydro-2′-deoxyguanosine (8-oxodG) lesions, thereby initiating a series of repair processes that restore DNA integrity. BER inhibitors have recently been identified as a promising approach in cancer therapy, increasing the sensitivity of cancer cells to radiotherapy and chemotherapy. By exploiting tumor-specific DNA repair dependencies and synthetic lethal interactions, these inhibitors could be used to selectively target cancer cells while sparing normal cells. This review provides a robust reference for scientific researchers, offering an updated perspective on small-molecule inhibitors targeting the 8-oxodG-BER pathway and highlighting their potential role in expanding cancer treatment strategies.
Targeting EP2 Receptor Improves Muscle and Bone Health in Dystrophin−/−/Utrophin−/− Double-Knockout Mice
Authors: Gao Xueqin , Cui Yan , Zhang Greg , Ruzbarsky Joseph J. , Wang Bing , Layne Jonathan E. , Xiao Xiang , Huard Johnny
Published: January 2025

Duchenne muscular dystrophy (DMD) is a severe genetic muscle disease occurring due to mutations of the dystrophin gene. There is no cure for DMD. Using a dystrophin−/−utrophin−/− (DKO-Hom) mouse model, we investigated the PGE2/EP2 pathway in the pathogenesis of dystrophic muscle and its potential as a therapeutic target. We found that Ep2, Ep4, Cox-2, 15-Pgdh mRNA, and PGE2 were significantly increased in DKO-Hom mice compared to wild-type (WT) mice. The EP2 and EP4 receptors were mainly expressed in CD68+ macrophages and were significantly increased in the muscle tissues of both dystrophin−/− (mdx) and DKO-Hom mice compared to WT mice. Osteogenic and osteoclastogenic gene expression in skeletal muscle also increased in DKO-Hom mice, which correlates with severe muscle heterotopic ossification (HO). Treatment of DKO-Hom mice with the EP2 antagonist PF04418948 for 2 weeks increased body weight and reduced HO and muscle pathology by decreasing both total macrophages (CD68+) and senescent macrophages (CD68+P21+), while increasing endothelial cells (CD31+). PF04418948 also increased bone volume/total volume (BV/TV), the trabecular thickness (Tb.Th) of the tibia trabecular bone, and the cortical bone thickness of both the femur and tibia without affecting spine trabecular bone microarchitecture. In summary, our results indicate that targeting EP2 improves muscle pathology and improves bone mass in DKO mice.
Neuroprotective Efficacy of Astragalus mongholicus in Ischemic Stroke: Antioxidant and Anti-Inflammatory Mechanisms
Authors: Hong Yongjae , Ko Geon , Jeon Yeong-Jae , Baek Hyeon-Man , Lee Juni , Lee Donghun , Park Jieun , Kim Jaehong , Chang Keun-A
Published: January 2025

Stroke affects over 12 million people annually, leading to high mortality, long-term disability, and substantial healthcare costs. Although East Asian herbal medicines are widely used for stroke treatment, the pathways of operation they use remain poorly understood. Our study investigates the neuroprotective properties of Astragalus mongholicus (AM) in acute ischemic stroke using photothrombotic (PTB) and transient middle cerebral artery occlusion (tMCAO) mouse models, as well as an in vitro oxygen-glucose deprivation (OGD) model. Post-OGD treatment with AM improved cell viability in mouse neuroblastoma cells, likely by reducing reactive oxygen species (ROS). Mice received short-term (0–2 days) or long-term (0–27 days) AM treatment post-stroke. Infarct size was assessed using a 2,3,5-triphenyl tetrazolium chloride (TTC) staining procedure alongside magnetic resonance imaging (MRI). Neuroprotective metabolites including inositol (Ins), glycerophosphocholine+phosphocholine (GPc+ PCh), N-acetylaspartate+N-acetylaspartylglutamate (NAA+NAAG), creatine + phosphocreatine (Cr+PCr), and glutamine+glutamate (Glx) were analyzed via magnetic resonance spectroscopy (MRS). Gliosis was assessed using GFAP and Iba-1 immunohistochemical markers, while neurological deficits were quantified with modified neurological severity scores (mNSS). Motor and cognitive functions were assessed using cylinder, rotarod, and novel object recognition (NOR) tests. AM treatment significantly reduced ischemic damage and improved neurological outcomes in both acute and chronic stages of PTB and tMCAO models. Additionally, AM increased neuroprotective metabolites levels, reduced gliosis, and decreased oxidative stress, as evidenced by reduced inducible nitric oxide synthase (iNOS). These findings highlight the antioxidant properties of AM and its strong therapeutic potential for promoting recovery after ischemic stroke by alleviating neurological deficits, reducing gliosis, and mitigating oxidative stress.
Is the Family Health Center Professionals’ Knowledge Level About Child Abuse and Neglect Sufficent? A Comprehensive Field Study
Authors: Deniz Serdar , Bayraktar Muhammet , Nayir Tufan , Balcı Elçin , İnceoğlu Feyza
Published: January 2025

Background: Child abuse and neglect bring lots of undesirable consequences for the future of children and societies with it. It is expected that health service providers have sufficient knowledge about that subject in order to determine abuse and neglect. Materials and methods: In this study, a 67-item scale with a Cronbach’s alpha value of 0.92 was used. A score of more than 3 on the scale meant that the score was at a sufficient level. The universe of this descriptive study is health professionals working in 512 family health units in Mersin, Türkiye. Interviews were conducted with 97.26% (n = 249) of family physicians and 98.04% (n = 251) of family health workers working in the 256 units included in the sample. Results: Since the overall scale score of the study group was above 3, it (3.77 ± 0.36) was determined that the average score of the participants was sufficient. 46.2% (n = 231) of the group did not receive training on child neglect and abuse during their education, and 45.2% (n = 226) during their work. 95.8% stated that they paid attention to signs of abuse and neglect in children brought for examination and follow-up, while 83.4% stated that they had not encountered any cases in the last year. 42% (n = 210) of the group thought that the relevant authorities would not take the necessary action even if they observed signs of child neglect and abuse, while 37.4% (n = 187) stated that they did not know when and how to report. Conclusions: Although the findings of the study suggest that the group’s level of knowledge is sufficient, it is of great importance to increase their knowledge about reporting processes and to encourage them in this regard.
Experimental Research on the Tribological Behavior of Plastic Materials with Friction Properties, with Applications to Manipulators in the Pharmaceutical Industry
Authors: Stoica Maria , Petrescu Marius Gabriel , Ripeanu Razvan George , Laudacescu Eugen , Tănase Maria
Published: January 2025

In this article, the authors present the results obtained within a complex experimental program that focuses on determining the tribological characteristics of the friction materials used in transmission belts, which are critical active components in manipulators within the pharmaceutical industry. The elements of transmission belts, having the role of ensuring the movement of cardboard packaging—used when packing the foils with medicine capsules—and stopping them during the insertion of the foils, were studied. This repetitive cycle—travel-braking—leads to the wearing of the friction material on the active surface of the belt. The experiments were carried out in a dry environment (air) by testing different types of friction materials (original belt, 3D printed TPU 60A, and TPU 95A). While the study is limited to these three materials, the results highlight the significant influence of material type and infill percentage on the coefficient of friction (COF) and wear resistance. TPU 60A achieved the highest COF at 100% infill, indicating a superior grip but experienced substantial wear, under the same conditions. Conversely, TPU 95A demonstrated a lower COF, suggesting reduced grip, but exhibited exceptional wear resistance. The aim of the research is to provide a preliminary investigation into the materials’ wear resistance and braking effectiveness. The experiments utilized appropriate samples to replicate real operational conditions, particularly focusing on the nature of contact between the moving belt and the packaging.
Adaptive Handover Management in High-Mobility Networks for Smart Cities
Authors: Junejo Yahya S. , Shaikh Faisal K. , Chowdhry Bhawani S. , Ejaz Waleed
Published: January 2025

The seamless handover of mobile devices is critical for maximizing the potential of smart city applications, which demand uninterrupted connectivity, ultra-low latency, and performance in diverse environments. Fifth-generation (5G) and beyond-5G networks offer advancements in massive connectivity and ultra-low latency by leveraging advanced technologies like millimeter wave, massive machine-type communication, non-orthogonal multiple access, and beam forming. However, challenges persist in ensuring smooth handovers in dense deployments, especially in higher frequency bands and with increased user mobility. This paper presents an adaptive handover management scheme that utilizes reinforcement learning to optimize handover decisions in dynamic environments. The system selects the best target cell from the available neighbor cell list by predicting key performance indicators, such as reference signal received power and the signal–interference–noise ratio, while considering the fixed time-to-trigger and hysteresis margin values. It dynamically adjusts handover thresholds by incorporating an offset based on real-time network conditions and user mobility patterns. This adaptive approach minimizes handover failures and the ping-pong effect. Compared to the baseline LIM2 model, the proposed system demonstrates a 15% improvement in handover success rate, a 3% improvement in user throughput, and an approximately 6 sec reduction in the latency at 200 km/h speed in high-mobility scenarios.
Healthy and Active Lifestyles Are Not Always Environmentally Sustainable: A Dietary Water Footprint Analysis in Mexico
Authors: Lares-Michel Mariana , Housni Fatima Ezzahra , Rodríguez-Lara Avilene , López-Salido Sofía Cecilia , Castrejón-Barajas María Guadalupe , Ochoa Nahid , Meza-Rodriguez Dalila Betsabee , Huertas Jesús R.
Published: January 2025

The environmental impact of unhealthy diets and the obese population is becoming clearer. However, little is known about the impact of ‘healthy’ diets related to ‘fitness’ lifestyles, such as diets directed to gain muscle mass and lose body fat, or the diets of the physically active population. This paper aims to evaluate the Dietary Water Footprint (DWF) of a representative sample of the Guadalajara Metropolitan Area, Mexico, identifying differences according to body composition (levels of fat and muscle) and physical activity (type and intensity), with a focus on contrasting active, healthy lifestyles (i.e., fitness) with sedentary and obesogenic patterns and examining protein consumption. A validated and adapted Food Frequency Questionnaire (FFQ) was applied to 400 adults (18–74 years) from the Guadalajara Metropolitan Area. The participants were grouped according to their body fat and muscle mass levels and physical activity type and intensity. DWF, food and nutrient intake, and adequacy were calculated. The DWF of the sample with a low body fat, a high muscle mass, moderate to intense exercise, and anaerobic exercise (i.e., ‘fitness’ lifestyle) was up to 800 L per person per day (L/p/d) higher than the sedentary/obese populations. Risks of a high DWF were found as protein intake increases (OR = 6; p < 0.0001). Although unhealthy diets linked to obesity are a major environmental problem, ‘fitness’ lifestyles can have serious environmental implications.
An Overview of Dentist–Patient Communication in Quality Dental Care
Authors: Ho Jasmine Cheuk Ying , Chai Hollis Haotian , Luo Bella Weijia , Lo Edward Chin Man , Huang Michelle Zeping , Chu Chun Hung
Published: January 2025

Dentist–patient communication is at the core of providing quality dental care. This study aims to review the importance, challenges, strategies, and training of dentist–patient communication. The World Dental Federation (FDI) emphasizes the importance of effective communication between oral healthcare providers and patients as a critical component of high-quality care. Effective dentist–patient communication allows dentists to accurately and effectively pass on essential medical information to patients. It improves the dentist’s efficiency, boosts self-confidence, reduces occupational stress, and minimizes the risks of complaint or litigation. Moreover, it alleviates dental anxiety and fear, helps build trust between dentists and patients, addresses patients’ needs and preferences, increases patients’ adherence to improved treatment outcomes, and ultimately leads to enhanced patient satisfaction. Nonetheless, it has been widely acknowledged that dentists universally encounter the repercussions arising from suboptimal communication strategies. Time constraints, difficulties in establishing rapport, the oral-health illiteracy of the patients, the poor communication skills of the dentists, dentists’ perceptions, and language barriers often hinder dentist–patient communication. Dentists should take the patient-centered approach as a premise and acquire verbal and non-verbal communication skills to overcome these communication barriers. The patient-centered approach comprises the understanding of patients’ illness, shared decision-making, and intervention with mindfulness of the patient’s own pace. Simple, succinct, and jargon-free language should be used in verbal communication. Proper body postures and gestures are fundamental for showing positive attitudes towards patients. Communication training for dental students should involve a structured pedagogical approach that includes didactic instruction, role-playing exercises, patient interviewing, and ongoing assessments. Key components of effective communication skills training in dental education include motivational interviewing, open-ended questioning, affirmations, reflective listening, and summaries to enhance patient engagement and adherence to treatment plans.
A Post-Processing Method for Quantum Random Number Generator Based on Zero-Phase Component Analysis Whitening
Authors: Liu Longju , Yang Jie , Wu Mei , Liu Jinlu , Huang Wei , Li Yang , Xu Bingjie
Published: January 2025

Quantum Random Number Generators (QRNGs) have been theoretically proven to be able to generate completely unpredictable random sequences, and have important applications in many fields. However, the practical implementation of QRNG is always susceptible to the unwanted classical noise or device imperfections, which inevitably diminishes the quality of the generated random bits. It is necessary to perform the post-processing to extract the true quantum randomness contained in raw data generated by the entropy source of QRNG. In this work, a novel post-processing method for QRNG based on Zero-phase Component Analysis (ZCA) whitening is proposed and experimentally verified through both time and spectral domain analysis, which can effectively reduce auto-correlations and flatten the spectrum of the raw data, and enhance the random number generation rate of QRNG. Furthermore, the randomness extraction is performed after ZCA whitening, after which the final random bits can pass the NIST test.
Regression Analysis for Predicting the Magnetic Field Shielding Effectiveness of Ferrite Sheets
Authors: Park Hyun Ho , Lee Heehyuk , Hwang Deuk-Kyu
Published: January 2025

In this paper, a method to predict near-field magnetic shielding effectiveness (NSE) of ferrite sheets is proposed by measuring their relative permeability. The NSE prediction for ferrite sheets is developed using eight regression models based on higher-order terms of permeability, extracted through Minitab’s regression analysis using data from the measured NSE and relative permeabilities of the ferrite sheets. To analyze the accuracy of the predicted NSE in comparison to the measured NSE, the mean square error (MSE) was computed. As a result, the extracted regression models enable fast and accurate NSE predictions for ferrite sheets up to 100 MHz, achieving an MSE of less than 1.0, in contrast to numerical simulation methods that require several hours.
Dynamical Investigation of a Modified Cubic Map with a Discrete Memristor Using Microcontrollers
Authors: Laskaridis Lazaros , Volos Christos , Giakoumis Aggelos Emmanouil , Meletlidou Efthymia , Stouboulos Ioannis
Published: January 2025

This study presents a novel approach by implementing an active memristor in a hyperchaotic discrete system, based on a cubic map, which is implemented by using two different microcontrollers. The key contributions of this work are threefold. The use of two microcontrollers with improved characteristics, such as speed and memory, for faster and more accurate computations significantly improves upon previous systems. Also, for the first time, an active memristor is used in a discrete-time system, which is implemented by using a microcontroller. Furthermore, the system is compared with two different types of microcontrollers regarding the execution time and the quality of the produced bifurcation diagrams. The proposed memristive cubic map uses computationally efficient polynomial functions, which are well suited to microcontroller-based systems, in contrast to more resource-intensive trigonometric and exponential functions. Bifurcation diagrams and a Lyapunov exponent analysis from simulating the system in Mathematica revealed hyperchaotic behavior, along with other significant dynamical phenomena, such as regular orbits, chaotic trajectories, and transitions to chaos through mechanisms like period doubling and crisis phenomena. Experimental verification confirmed the consistency of the results across microcontroller platforms, underscoring the practicality and potential applications of active memristor-based chaotic systems.
Simulation and Analysis of the Optimal Electric Field from Modifications to the Winding Design for the Tesla Transformer
Authors: Rugthaicharoencheep Nattachote , Nedphokaew Supawud
Published: January 2025

This research aims to present a study of the effects of the Tesla transformer in order to find the proper dimensions. We created a design of the Tesla transformer to reduce the high-voltage electric field-stress problem that happens between primary winding and secondary winding. Because the Tesla transformer is used to induce voltage between these two windings through the air, problems with insulation occur. The winding that has space is dielectric; while there is high voltage in a transformer, it causes flashover voltage between the high-voltage winding and low-voltage winding, which damages the transformer and other devices. Research process: Research was conducted to study the laydown model (positioning) of the two windings in the transformer. By considering this, we induced a proper Tesla transformer that was reproduced by using the FEMLAB program. Moreover, we compared the Tesla transformer reproduction, which created a voltage of 120 kV and a frequency of 120 kHz. The result from the comparison is a proper laydown position of the primary winding and voltage, which has been designed without the flashover. The whorl coil has to be wound at a 60-degree angle relative to the floor and can induce more voltage than other models. The voltage and corresponding electric field stress were measured for the primary winding at various angles relative to the floor (0-, 30-, 45-, 60-, and 90-degree angles) to determine the configuration. The results from the reproduction using the FEMLAB program and testing demonstrated that no flashover occurred between the high-voltage winding to the low-voltage winding when the primary winding was positioned at a 60-degree angle.
Assessing Water Temperature and Dissolved Oxygen and Their Potential Effects on Aquatic Ecosystem Using a SARIMA Model
Authors: Larance Samuel , Wang Junye , Delavar Mojtaba Aghajani , Fahs Marwan
Published: January 2025

Temperature and dissolved oxygen (DO) are of critical importance for sustainable aquatic ecosystem and biodiversity in the river systems. This study aims to develop a data-driven model for forecasting water quality in the Athabasca River using a seasonal autoregressive integrated moving average model (SARIMA) for forecasting monthly DO and water temperature. DO and water temperature observed at Fort McMurray and Athabasca from 1960 to 2023 were used to train and test the model. The results show the satisfied model performance of DO with a coefficient of determination (R2) value of 0.76 and an RMSE value of 0.79 for training and 0.67 and 0.92 for testing, respectively, at the Fort McMurray station. At the Town of Athabasca station, the RMSE and R2 of DO were 0.92 and 0.72 for training and 0.77 and 0.86 for testing, respectively. For the modeled temperature, RMSE and R2 were 2.7 and 0.87 for training and 2.2 and 0.95 for testing, respectively, at Fort McMurray and were 2.0 and 0.93 for training and 1.8 and 0.97 for testing, respectively, in the Town of Athabasca. The results show that DO concentration is inversely proportional to the temperature. This implies that the DO could be related to water temperature, which, in turn, is correlated with air temperature. Therefore, the SARIMA model performed reasonably well in representing the dynamics of water temperature and DO in the cold climate river. Such a model can be used in practice to reduce the risk of low DO events.