bluuebunny/crossref_metadata_2025 huggingface dataset:
Curcumin-Rich Diet Mitigates Non-Alcoholic Fatty Liver Disease (NAFLD) by Attenuating Fat Accumulation and Improving Insulin Sensitivity in Aged Female Mice under Nutritional Stress
Authors: Lamichhane Gopal , Lee Da-Yeon , Franks Rienna , Olawale Femi , Jin Jong-Beom , Egan Josephine M. , Kim Yoo
Published: June 2024

Background: The high incidence of metabolic syndrome in the elderly poses a significant challenge to the healthcare system, emphasizing the need for interventions tailored to geriatric patients. Given the limited focus on females in previous studies, this research aimed to evaluate the effects of dietary curcumin on obesity and NAFLD outcomes in naturally aged (18-month-old) female mice. Methods: Female C57BL/6 mice aged 18 months were fed a normal chow diet (NCD) and a HFHSD, with or without curcumin (0.4% w/w), for an 8-week period. Parameters included food intake, body weight, insulin tolerance test (ITT), glucose tolerance test (GTT), percentage fat mass, hepatic triglyceride, and cholesterol levels, and a histological examination for NAFLD detection, qPCR, and immunoblotting analyses were performed. Results: The cumulative body weight gain after 8 weeks in the aged female mice supplemented with curcumin and fed an HFHSD was significantly lower (10.84 ± 1.09 g) compared to those fed a HFHSD alone (15.28 ± 1.26 g). Curcumin supplementation also resulted in reduced total body fat (HFHSD group 50.83 ± 1.71% vs. HFHSD+CUR 41.46 ± 3.21%), decreased epidydimal fat mass (HFHSD: 3.79 ± 0.29 g vs. HFHSD+CUR: 2.66 ± 0.30 g), and repaired adipogenic signaling in the white adipose tissue. Furthermore, curcumin lowered triglyceride and cholesterol deposition in the liver, preventing hepatic steatosis and improving hepatic insulin sensitivity. Conclusions: Curcumin demonstrates the ability to ameliorate the deleterious effects of HFHSD in aged female mice by reducing body fat composition, modulating adipogenic signaling in the white adipose tissue, and improving insulin homeostasis and non-alcoholic fatty deposition in the liver.
Gamma-Aminobutyric Acid (GABA) Avoids Deterioration of Transport Water Quality, Regulates Plasma Biochemical Indices, Energy Metabolism, and Antioxidant Capacity of Tawny Puffer (Takifugui flavidus) under Transport Stress
Authors: Yu Xiaowen , Hou Wenjie , Xiao Lixia
Published: June 2024

Live fish transportation is crucial for managing aquaculture but can pose health risks to fish due to stressors encountered during transportation. Gamma-aminobutyric acid (GABA) is an inhibitory neurotransmitter that plays a crucial role in the central nervous system and is considered to exhibit anti-stress effects. This study aims to investigate the effects of GABA on the transport water quality, plasma biochemical indices, energy metabolism, and antioxidant capacity of tawny puffer (Takifugu flavidus) under transport stress. Tawny puffer were pretreated by immersing in aquariums containing GABA (final concentrations at 0, 5, 50, and 150 mg/L) seawater for 3 days; then, simulated transport was conducted using oxygen-filled polyethylene bags containing the same concentration of GABA seawater as the pretreatment period. Water samples, plasma, and liver were collected after 0, 6, and 12 h of transport. The results revealed that with the prolongation of transportation time, the control group’s water quality deteriorated, stress-related plasma biochemical indices increased, glycolytic substrate contents decreased, glycolytic enzyme activities and product contents increased, and aerobic metabolic enzyme activities exhibited initial increases followed by declines, ATPase activities decreased, antioxidant enzyme activities decreased, and the lipid peroxidation marker contents increased. It is noteworthy that GABA treatment could avoid water quality deterioration during transportation, inhibit an elevation in stress-related biochemical indicators, regulate energy metabolism, and reduce oxidative damage in tawny puffer, especially at 50 and 150 mg/L concentrations. In summary, GABA treatment can effectively alleviate the transport stress of tawny puffer.
Modeling the Interictal Epileptic State for Therapeutic Development with Tetanus Toxin
Authors: Eslami Faezeh , Djedovic Arden , Loeb Jeffrey A.
Published: June 2024

Focal forms of epilepsy can result from a wide range of insults and can vary from focal symptoms to generalized convulsions. Most drugs that have been developed for epilepsy focus on the prevention of seizures. On Electroencephalography (EEG), seizures are characterized by a repetitive buildup of epileptic waveforms that can spread across the brain. Brain regions that produce seizures generate far more frequent ‘interictal’ spikes seen between seizures, and in animal models, these spikes occur prior to the development of seizures. Interictal spiking by itself has been shown to have significant adverse clinical effects on cognition and behavior in both patients and animal models. While the exact relationships between interictal spiking and seizures are not well defined, interictal spikes serve as an important biomarker that, for some forms of epilepsy, can serve as a surrogate biomarker and as a druggable target. While there are many animal models of seizures for drug development, here we review models of interictal spiking, focusing on tetanus toxin, to study the relationship between interictal spiking, seizures, cognition, and behavior. Studies on human cortical regions with frequent interictal spiking have identified potential therapeutic targets; therefore, having a highly consistent model of spiking will be invaluable not only for unraveling the initial stages of the pathological cascade leading to seizure development but also for testing novel therapeutics. This review offers a succinct overview of the use of tetanus toxin animal models for studying and therapeutic development for interictal spiking.
Neuropsychological Diagnosis and Assessment of Alexia: A Mixed-Methods Study
Authors: Alduais Ahmed , Alarifi Hessah Saad , Alfadda Hind
Published: June 2024

The neuropsychological diagnosis and assessment of alexia remain formidable due to its multifaceted presentations and the intricate neural underpinnings involved. The current study employed a mixed-method design, incorporating cluster and thematic analyses, to illuminate the complexities of alexia assessment. We used the Web of Science and Scopus to retrieve articles spanning from 1985 to February 2024. Our selection was based on identified keywords in relation to the assessment and diagnosis of alexia. The analysis of 449 articles using CiteSpace (Version 6.3.R1) and VOSviewer (Version 1.6.19) software identified ten key clusters such as ‘pure alexia’ and ‘posterior cortical atrophy’, highlighting the breadth of research within this field. The thematic analysis of the most cited and recent studies led to eight essential categories. These categories were synthesized into a conceptual model that illustrates the interaction between neural, cognitive, and diagnostic aspects, in accordance with the International Classification of Functioning, Disability, and Health (ICFDH) framework. This model emphasizes the need for comprehensive diagnostic approaches extending beyond traditional reading assessments to include specific tasks like character identification, broader visual processing, and numerical tasks. Future diagnostic models should incorporate a diverse array of alexia types and support the creation of advanced assessment tools, ultimately improving clinical practice and research.
Transcutaneous Electrical Spinal Cord Stimulation Increased Target-Specific Muscle Strength and Locomotion in Chronic Spinal Cord Injury
Authors: Tharu Niraj Singh , Wong Arnold Yu Lok , Zheng Yong-Ping
Published: June 2024

Background: The recovery of locomotion is greatly prioritized, and neuromodulation has been emerging as a promising approach in recent times. Study design: Single-subject research design. Settings: A laboratory at The Hong Kong Polytechnic University. Objectives: To investigate the effects of augmenting activity-based therapy (ABT) to transcutaneous electrical spinal cord stimulation (TSCS) on enhancing specific lower limb muscle strength and improving locomotor ability in an individual with chronic incomplete spinal cord injury (iSCI). Methods: An individual with iSCI underwent two phases of treatment, ABT alone followed by combined ABT+TSCS, each for a period of 10 weeks. The TSCS stimulated T10-T11 and T12-L1 segments with a frequency of 30 Hz at an intensity between 105 mA and 130 mA. Manual muscle testing, 6 min walk test (6MWT), and surface electromyography (EMG) responses of specific lower limb muscles were measured. Additionally, spasticity and sensorimotor examinations were conducted every two weeks, while pain tolerance was recorded after each treatment session. Results: After the ABT+TSCS treatment, there was an increase in overall muscle strength grading (from 1.8 ± 0.3 to 2.2 ± 0.6 out of 5.0). The 6MWT showed a greater increase in walking distance (3.5 m to 10 m) after combined treatment than ABT alone. In addition, the EMG response of the anterior rectus femoris, biceps femoris, medial gastrocnemius, and tibialis anterior after ABT+TSCS increased more than after ABT alone. The spasticity grade was reduced (from 0.8 ± 0.7 to 0.5 ± 0.6) whereas the average lower limb motor score increased from 17 to 23 points. No adverse effects were reported. Conclusions: ABT+TSCS increased the target-specific lower limb muscle strength and walking ability more than ABT alone in an individual with chronic iSCI.
Motor Intentions Decoded from fMRI Signals
Authors: Ruiz Sergio , Lee Sangkyun , Dalboni da Rocha Josue Luiz , Ramos-Murguialday Ander , Pasqualotto Emanuele , Soares Ernesto , García Eliana , Fetz Eberhard , Birbaumer Niels , Sitaram Ranganatha
Published: June 2024

Motor intention is a high-level brain function related to planning for movement. Although studies have shown that motor intentions can be decoded from brain signals before movement execution, it is unclear whether intentions relating to mental imagery of movement can be decoded. Here, we investigated whether differences in spatial and temporal patterns of brain activation were elicited by intentions to perform different types of motor imagery and whether the patterns could be used by a multivariate pattern classifier to detect such differential intentions. The results showed that it is possible to decode intentions before the onset of different types of motor imagery from functional MR signals obtained from fronto-parietal brain regions, such as the premotor cortex and posterior parietal cortex, while controlling for eye movements and for muscular activity of the hands. These results highlight the critical role played by the aforementioned brain regions in covert motor intentions. Moreover, they have substantial implications for rehabilitating patients with motor disabilities.
Exploring the Potential of Variational Autoencoders for Modeling Nonlinear Relationships in Psychological Data
Authors: Milano Nicola , Casella Monica , Esposito Raffaella , Marocco Davide
Published: June 2024

Latent variables analysis is an important part of psychometric research. In this context, factor analysis and other related techniques have been widely applied for the investigation of the internal structure of psychometric tests. However, these methods perform a linear dimensionality reduction under a series of assumptions that could not always be verified in psychological data. Predictive techniques, such as artificial neural networks, could complement and improve the exploration of latent space, overcoming the limits of traditional methods. In this study, we explore the latent space generated by a particular artificial neural network: the variational autoencoder. This autoencoder could perform a nonlinear dimensionality reduction and encourage the latent features to follow a predefined distribution (usually a normal distribution) by learning the most important relationships hidden in data. In this study, we investigate the capacity of autoencoders to model item–factor relationships in simulated data, which encompasses linear and nonlinear associations. We also extend our investigation to a real dataset. Results on simulated data show that the variational autoencoder performs similarly to factor analysis when the relationships among observed and latent variables are linear, and it is able to reproduce the factor scores. Moreover, results on nonlinear data show that, differently than factor analysis, it can also learn to reproduce nonlinear relationships among observed variables and factors. The factor score estimates are also more accurate with respect to factor analysis. The real case results confirm the potential of the autoencoder in reducing dimensionality with mild assumptions on input data and in recognizing the function that links observed and latent variables.
A Self-Narrative Study: Changes in Physical Ability and Social Communication in Children with Autism through Taekwondo Training with Elements of Music Therapy from the Parents’ Perspective
Authors: Mok Kam-Ming , Sze Corliss H. H. , Yu Clare C. W. , Mak Emma , Chan Dorothy F. Y. , Wong Simpson W. L.
Published: June 2024

Autism spectrum disorder (ASD) significantly affects social and motor skills development in early, middle or even late childhood. To promote social and motor skills development among autistic children, an intervention consisting of Taekwondo and elements of music therapy was designed and implemented in Hong Kong. The objective of the current study is to investigate the effectiveness of this training, based on parents’ observations of their children who had completed the key stage of the training. Thirteen parents or caregivers (n = 13) whose children with autism participated in our Taekwondo training for two months were interviewed. Three major themes were identified by thematic analysis: (A) social skills-related change after the intervention, (B) motor skills-related change after the intervention, (C) characteristics of the intervention (i.e., session arrangement, tutor/coach attitude). Our findings show that our training was perceived by parents to have a significant impact on the promotion of physical ability and social communication in autistic children.
Raising Hopes, Facing Challenges: Understanding Parental Well-Being in the Midst of Autism in Saudi Arabia
Authors: Alenezi Shuliweeh , Alsewailem Norah , Almubaddil Bayan A. , Alshaya Rand Saud , Alqahtani Sarah Mohammed A. , Aldossari Sara A. , Alsalhi Shimah Maibed , Alyahya Ahmed S.
Published: June 2024

Background: This study aimed to investigate the levels of anxiety, depression, and quality of life among parents of children with autism spectrum disorder. It also compared the difference in these levels between mothers and fathers. Additionally, it quantifies the association between parental anxiety, depression, and quality of life, with various sociodemographic factors. Methods: This analytical, cross-sectional study was carried out between June and December 2022. An online questionnaire was completed by a sample of 394 parents of children with ASD (autism spectrum disorder) residing in Saudi Arabia. Three scales were used to assess depression, anxiety, and quality of life (QoL), respectively: Patient Health Questionnaire 9 (PHQ-9), Generalized Anxiety Disorder 7 (GAD-7), and World Health Organization Quality of Life—Brief Version (WHOQOL-BREF). Results: Most parents (70.8%) were mothers with an average age of 39 years, typically ranging from 30 to 48 years. Parents’ overall quality of life was 57.72 out of 100, indicating moderate satisfaction. Anxiety levels showed that 32% had mild, 17.8% moderate, and 14.7% severe anxiety. Similarly, depression levels revealed that 34.5% had minimal, 32.2% mild, and 18% moderate depression. Higher anxiety and depression scores were linked to a lower perceived QoL (quality of life). Moreover, the socioeconomic status index (SESi) was significantly and positively correlated with higher depression and lower quality of life. Conclusions: Autism Spectrum Disorder imposes a strain on parents of the autistic child. The responsibilities linked to the disability amplify the occurrence of depression and anxiety among parents, leading to a diminished quality of life.
Participants’ Utilitarian Choice Is Influenced by Gamble Presentation and Age
Authors: Teal Joseph , Kusev Petko , Vukadinova Siana , Martin Rose , Heilman Renata M.
Published: June 2024

No prior behavioral science research has delved into the impact of gamble presentation (horizontal or vertical) on individuals’ utilitarian behavior, despite evidence suggesting that such choices can be influenced by comparing attributes like probability and money in gambles. This article addresses this gap by exploring the influence of gamble presentation on utilitarian behavior. A two-factor independent measures design was employed to explore the influence of the type of gamble presentation and age on participants’ utilitarian decision-making preferences. The findings showed a reduced likelihood of participants choosing the non-utilitarian gamble with vertically presented gambles compared to horizontal ones. Consequently, participants’ utilitarian behavior was influenced by between-gamble comparisons of available attributes, with utilitarian choices (e.g., choosing Gamble A) being more prevalent in vertical presentations due to a straightforward comparison on the probability attribute. Furthermore, the results also revealed that older participants take more time than their younger counterparts when making utilitarian errors. We attribute this to their abundant knowledge and experience. Future research should explore the comparative psychological processing used by participants in risky decision-making tasks.
Do Negative Self-Evaluative Emotions Enhance Healthier Food Choices? Exploring the Moderating Role of Self-Affirmation
Authors: Li Jingwen , Chen Yu , Tang Mingcong , Wang Shuangmiao
Published: June 2024

Negative self-evaluative emotions arise when an individual engages in behavior that is perceived as inadequate or inconsistent with personal or societal norms and values, leading to feelings of inadequacy, shame, and dissatisfaction with oneself. These emotions are a central motivating force for changing unhealthy behaviors. However, negative evaluative emotions may also direct individuals towards defensive reactions such as reactance and avoidance. This can cause negative self-evaluative emotions to be less effective in reducing unhealthy behavior. More importantly, empirical evidence is needed to explore strategies for enhancing the effectiveness of interventions. In this study, we used an online experiment with 100 student participants to examine if increasing self-affirmation can increase the effectiveness of negative self-evaluative emotions in reducing unhealthy food consumption. We found that negative self-evaluative emotions can significantly increase healthy food consumption. However, our analysis did not reveal a significant moderating impact of self-affirmation on the effectiveness of negative self-evaluative emotions in reducing unhealthy consumption. This is the first study to explore the moderating impact of self-affirmation on the effectiveness of negative self-evaluative emotions on health behavioral change, which opens new avenues for studying how to apply the combination of stimulating negative self-evaluative emotions and increasing self-affirmation to induce behavioral change regarding healthy diets and even a broader range of fields.
Analysis of Rural Heritage House Facades as the Initial Step Towards Their Adaptive Reuse and Renovation: A Case Study of Sixteen Houses in Mazandaran Province, Iran
Authors: Ahmadi Soufia , Arfa Fatemeh Hedieh , Seyedian Seyed Ali
Published: June 2024

The facades of buildings stand as one of the most influential aesthetic elements in urban and rural districts, serving as a boundary between exterior and interior while historically expressing various cultural and climatic functions. In Mazandaran Province, Iran, historical and rural areas have often been overlooked, leading to inappropriate approaches in reusing and renovating these buildings without considering their values. This study aims to analyze the characteristics of the facades of various historical and rural houses to provide a solid foundation for architects dealing with their reuse and renovation or the design of extensions to the existing buildings. In addition to discussing practical applications, this paper offers a methodological approach for scholars active in the field of rural architecture. The research method includes an analysis of several historical houses, drawing from both literature and field studies. The formal approach has been chosen to align with the research goal. The sixteen selected cases are situated in the historical and rural districts of Alasht, Lafour, Qaemshahr, each built in different historical periods of Iran. Given that many historical houses in this area are not officially listed as heritage buildings and no data regarding them are available, the researchers conducted field surveys and interviews with residents to collect the necessary information. The investigation focused on facade elements, including the pattern of openings and the materials used in the selected houses. This research led to the documentation of the facade shapes in the rural areas of Mazandaran Province, highlighting the necessity of documentation to establish a knowledge base before reuse, renovation, or design within these historic regions. This approach could serve as a model for other regions and countries.
Life Cycle Assessment of an Office Building in Finland Using a Custom Assessment Tool
Authors: Ilgın Hüseyin Emre , Saviharju Arttu , Karjalainen Markku , Hirvilammi Teemu
Published: June 2024

Life cycle analysis (LCA) is a crucial instrument in the construction industry, offering a comprehensive evaluation of the environmental impacts at every stage of a building’s lifecycle. Recently introduced into Finnish construction legislation, this approach has not yet been thoroughly researched in relation to the Finnish Ministry of the Environment (FMoE) assessment method, nor have new calculation techniques been proposed to address its shortcomings. Furthermore, Finnish research on environmental impact assessment has predominantly focused on residential buildings, leaving a scarcity of studies on office buildings. This paper aims to fill these gaps in the literature, considering LCA, carbon footprint, and carbon handprint assessment tools of concrete-, timber-, and steel-framed cases. Our results are as follows: (1) the majority of the carbon footprint of a concrete-framed case originated from emissions associated with energy use and second largest share of total emissions occurred during the product phase of the building and within this phase, the building services contribute the most to product-related emissions; (2) a significant portion of these emissions came from facades and floor structures; (3) the carbon footprint of the timber-framed option was significantly lower than that of its concrete- and steel-framed counterparts; (4) steel-framed option’s carbon footprint was nearly equivalent to that of the concrete-framed option; (5) estimated carbon handprint of the timber-framed option was considerably higher than that of the concrete- and steel-framed options, primarily due to the carbon storage capacity of the timber components; (6) steel-framed option’s carbon handprint surpassed that of the concrete-framed option because of the high recycling and reuse potential of steel components; (7) the LCA method used by FMoE has some unclear areas. These ambiguities include how to assess the impacts of carbonation in cement-based products and the replacement of building components.
Personalized Medicine in Pancreatic Cancer: The Promise of Biomarkers and Molecular Targeting with Dr. Michael J. Pishvaian
Authors: Cortiana Viviana , Abbas Rabab Hunaid , Chorya Harshal , Gambill Jade , Mahendru Diksha , Park Chandler H. , Leyfman Yan
Published: June 2024

Pancreatic cancer, with its alarming rising incidence, is predicted to become the second deadliest type of solid tumor by 2040, highlighting the urgent need for improved diagnostic and treatment strategies. Despite medical advancements, the five-year survival rate for pancreatic cancer remains about 14%, dropping further when metastasized. This review explores the promise of biomarkers for early detection, personalized treatment, and disease monitoring. Molecular classification of pancreatic cancer into subtypes based on genetic mutations, gene expression, and protein markers guides treatment decisions, potentially improving outcomes. A plethora of clinical trials investigating different strategies are currently ongoing. Targeted therapies, among which those against CLAUDIN 18.2 and inhibitors of Claudin 18.1, have shown promise. Next-generation sequencing (NGS) has emerged as a powerful tool for the comprehensive genomic analysis of pancreatic tumors, revealing unique genetic alterations that drive cancer progression. This allows oncologists to tailor therapies to target specific molecular abnormalities. However, challenges remain, including limited awareness and uptake of biomarker-guided therapies. Continued research into the molecular mechanisms of pancreatic cancer is essential for developing more effective treatments and improving patient survival rates.
Unprocessed snRNAs Are a Prognostic Biomarker and Correlate with a Poorer Prognosis in Colorectal Cancer
Authors: Escrich Víctor , Romero-Aranda Cristina , López Rosario , de Toro María , Metola Ángela , Ezcurra Begoña , Gómez-Orte Eva , Cabello Juan
Published: June 2024

The human Integrator complex is a set of 15 subunits that mediates processing of small nuclear RNAs (snRNAs), and which later participates in splicing messenger RNAs (mRNAs). In addition, it controls the pause and release of RNA polymerase II (RNA pol II) at specific gene promoters in response to growth factors. Mutations in Integrator-complex subunit 6 (INTS6) are associated with different types of tumors. However, the INTS6 gene product does not have a significant prognostic value as a biomarker for tumor progression. Here we show that Integrator-complex deregulation is involved in 8.3% of the colorectal cancer cases diagnosed from the population screen carried out in La Rioja (Spain) from the years 2017 to 2019. Lack of Integrator-complex function, measured by an increased level of unprocessed snRNA, is a prognostic biomarker and correlates with a poorer prognosis in colorectal-cancer patients. The transcriptomic profile of all analyzed colorectal tumors shows a strong alteration of the metabolic state of tumor cells, which compromises standard energy production through mitochondrial respiration, known as the Warburg effect. Furthermore, there is a significant upregulation of genes involved in extracellular matrix organization and collagen rearrangement. This is consistent with tissue reorganization in a growing tumor forming a polyp. Crossing the molecular data generated in this study with the follow-up of patients from population screening indicates that population screening combined with early typing of tumors appears to be the most efficient way to increase patient survival.
Deep Learning Algorithms for Bladder Cancer Segmentation on Multi-Parametric MRI
Authors: Gumus Kazim Z. , Nicolas Julien , Gopireddy Dheeraj R. , Dolz Jose , Jazayeri Seyed Behzad , Bandyk Mark
Published: June 2024

Background: Bladder cancer (BC) segmentation on MRI images is the first step to determining the presence of muscular invasion. This study aimed to assess the tumor segmentation performance of three deep learning (DL) models on multi-parametric MRI (mp-MRI) images. Methods: We studied 53 patients with bladder cancer. Bladder tumors were segmented on each slice of T2-weighted (T2WI), diffusion-weighted imaging/apparent diffusion coefficient (DWI/ADC), and T1-weighted contrast-enhanced (T1WI) images acquired at a 3Tesla MRI scanner. We trained Unet, MAnet, and PSPnet using three loss functions: cross-entropy (CE), dice similarity coefficient loss (DSC), and focal loss (FL). We evaluated the model performances using DSC, Hausdorff distance (HD), and expected calibration error (ECE). Results: The MAnet algorithm with the CE+DSC loss function gave the highest DSC values on the ADC, T2WI, and T1WI images. PSPnet with CE+DSC obtained the smallest HDs on the ADC, T2WI, and T1WI images. The segmentation accuracy overall was better on the ADC and T1WI than on the T2WI. The ECEs were the smallest for PSPnet with FL on the ADC images, while they were the smallest for MAnet with CE+DSC on the T2WI and T1WI. Conclusions: Compared to Unet, MAnet and PSPnet with a hybrid CE+DSC loss function displayed better performances in BC segmentation depending on the choice of the evaluation metric.
Enhanced Photodegradation of Acetaminophen Using Efficient ZnO-NiO Nanofibers
Authors: Gomaa Hassan E. , El-Maghrabi Heba H. , Gomaa Fatma A. , Raynaud Patrice , Nada Amr A.
Published: June 2024

The increasing presence of pharmaceutical pollutants, such as acetaminophen, in water bodies poses a significant environmental challenge due to their persistence and potential toxicity. This study investigated the enhanced photodegradation of acetaminophen using ZnO-NiO nanofibers as superior photocatalysts. The nanofibers synthesized with varying NiO contents (designated as ZN0.5, ZN1, ZN1.5, and ZN2), were characterized using X-ray diffraction (XRD), scanning electron microscopy (SEM), Raman, FTIR, Brunauer–Emmett–Teller (BET) analysis, and diffuse reflectance spectroscopy (DRS) to elucidate their structural, morphological, and optical properties. Thermogravimetric analysis (TGA) indicated that the nanofibers exhibit high thermal stability, with major weight loss attributed to the decomposition of the polymer matrix and residual organics. The BET analysis revealed that the specific surface area remains stable after increasing the NiO content up to a certain ratio. This stability correlates with the enhanced photocatalytic performance due to increased light absorption and improved charge separation. The diffuse reflectance spectra and Kubelka–Munk plots demonstrated a reduction in bandgap energy with higher NiO content, facilitating greater visible light absorption. Photocatalytic experiments under visible light irradiation, in the presence of peroxymonosulfate (PMS), showed that the ZN1.5 nanofibers achieved the highest acetaminophen degradation rate, i.e., 92%, within 3 h. Mechanistic studies, supported by radical trapping experiments, revealed that the improved photocatalytic efficiency is due to the synergistic effects of ZnO and NiO heterojunctions, which enhance charge separation and reactive oxygen species (ROS) generation. This research highlights the potential of ZnO-NiO nanofibers as effective photocatalysts for the degradation of pharmaceutical pollutants. The findings demonstrate that optimizing the composition and structure of nanofibers can significantly improve their environmental remediation capabilities, providing a promising solution for sustainable water treatment.
Protein Kinase A Regulates Platelet Phosphodiesterase 3A through an A-Kinase Anchoring Protein Dependent Manner
Authors: Khalil Jawad S. , Law Robert , Raslan Zaher , Cheah Lih T. , Hindle Matthew S. , Aburima Ahmed A. , Kearney Mark T. , Naseem Khalid M.
Published: June 2024

Platelet activation is critical for haemostasis, but if unregulated can lead to pathological thrombosis. Endogenous platelet inhibitory mechanisms are mediated by prostacyclin (PGI2)-stimulated cAMP signalling, which is regulated by phosphodiesterase 3A (PDE3A). However, spatiotemporal regulation of PDE3A activity in platelets is unknown. Here, we report that platelets possess multiple PDE3A isoforms with seemingly identical molecular weights (100 kDa). One isoform contained a unique N-terminal sequence that corresponded to PDE3A1 in nucleated cells but with negligible contribution to overall PDE3A activity. The predominant cytosolic PDE3A isoform did not possess the unique N-terminal sequence and accounted for >99% of basal PDE3A activity. PGI2 treatment induced a dose and time-dependent increase in PDE3A phosphorylation which was PKA-dependent and associated with an increase in phosphodiesterase enzymatic activity. The effects of PGI2 on PDE3A were modulated by A-kinase anchoring protein (AKAP) disruptor peptides, suggesting an AKAP-mediated PDE3A signalosome. We identified AKAP7, AKAP9, AKAP12, AKAP13, and moesin expressed in platelets but focussed on AKAP7 as a potential PDE3A binding partner. Using a combination of immunoprecipitation, proximity ligation techniques, and activity assays, we identified a novel PDE3A/PKA RII/AKAP7 signalosome in platelets that integrates propagation and termination of cAMP signalling through coupling of PKA and PDE3A.
TGF-β-Based Therapies for Treating Ocular Surface Disorders
Authors: Ogata Fernando T. , Verma Sudhir , Coulson-Thomas Vivien J. , Gesteira Tarsis F.
Published: June 2024

The cornea is continuously exposed to injuries, ranging from minor scratches to deep traumas. An effective healing mechanism is crucial for the cornea to restore its structure and function following major and minor insults. Transforming Growth Factor-Beta (TGF-β), a versatile signaling molecule that coordinates various cell responses, has a central role in corneal wound healing. Upon corneal injury, TGF-β is rapidly released into the extracellular environment, triggering cell migration and proliferation, the differentiation of keratocytes into myofibroblasts, and the initiation of the repair process. TGF-β-mediated processes are essential for wound closure; however, excessive levels of TGF-β can lead to fibrosis and scarring, causing impaired vision. Three primary isoforms of TGF-β exist—TGF-β1, TGF-β2, and TGF-β3. Although TGF-β isoforms share many structural and functional similarities, they present distinct roles in corneal regeneration, which adds an additional layer of complexity to understand the role of TGF-β in corneal wound healing. Further, aberrant TGF-β activity has been linked to various corneal pathologies, such as scarring and Peter’s Anomaly. Thus, understanding the molecular and cellular mechanisms by which TGF-β1-3 regulate corneal wound healing will enable the development of potential therapeutic interventions targeting the key molecule in this process. Herein, we summarize the multifaceted roles of TGF-β in corneal wound healing, dissecting its mechanisms of action and interactions with other molecules, and outline its role in corneal pathogenesis.
Bromodomain Protein Inhibition Protects β-Cells from Cytokine-Induced Death and Dysfunction via Antagonism of NF-κB Pathway
Authors: Negi Vinny , Lee Jeongkyung , Mandi Varun , Danvers Joseph , Liu Ruya , Perez-Garcia Eliana M. , Li Feng , Jagannathan Rajaganapati , Yang Ping , Filingeri Domenic , Kumar Amit , Ma Ke , Moulik Mousumi , Yechoor Vijay K.
Published: June 2024

Cytokine-induced β-cell apoptosis is a major pathogenic mechanism in type 1 diabetes (T1D). Despite significant advances in understanding its underlying mechanisms, few drugs have been translated to protect β-cells in T1D. Epigenetic modulators such as bromodomain-containing BET (bromo- and extra-terminal) proteins are important regulators of immune responses. Pre-clinical studies have demonstrated a protective effect of BET inhibitors in an NOD (non-obese diabetes) mouse model of T1D. However, the effect of BET protein inhibition on β-cell function in response to cytokines is unknown. Here, we demonstrate that I-BET, a BET protein inhibitor, protected β-cells from cytokine-induced dysfunction and death. In vivo administration of I-BET to mice exposed to low-dose STZ (streptozotocin), a model of T1D, significantly reduced β-cell apoptosis, suggesting a cytoprotective function. Mechanistically, I-BET treatment inhibited cytokine-induced NF-kB signaling and enhanced FOXO1-mediated anti-oxidant response in β-cells. RNA-Seq analysis revealed that I-BET treatment also suppressed pathways involved in apoptosis while maintaining the expression of genes critical for β-cell function, such as Pdx1 and Ins1. Taken together, this study demonstrates that I-BET is effective in protecting β-cells from cytokine-induced dysfunction and apoptosis, and targeting BET proteins could have potential therapeutic value in preserving β-cell functional mass in T1D.
Enhancement in Turbulent Convective Heat Transfer Using Silver Nanofluids: Impact of Citrate, Lipoic Acid, and Silica Coatings
Authors: Bunpheng Wasurat , Dhairiyasamy Ratchagaraja
Published: June 2024

This study aims to investigate the thermohydraulic performance of silver nanofluids with different surface modifications (citrate, lipoic acid, and silica) in turbulent convective heat transfer applications. Three silver nanofluids were prepared, each modified with citrate, lipoic acid, or silica coatings. The nanofluids were characterized for stability using zeta potential measurements and evaluated in a smooth brass tube under turbulent flow conditions. The experimental setup involved measuring the temperature, pressure, and flow rate to assess heat transfer coefficients, pressure drops, and friction factors. The results were compared with distilled water as the base fluid and validated against theoretical models. The silica-shelled nanofluid (Ag/S) exhibited a significant 35% increase in the average heat transfer coefficient compared to distilled water, while the citrate-coated (Ag/C) and lipoic acid-coated (Ag/L) nanofluids showed slight decreases of approximately 0.2% and 2%, respectively. The Ag/S nanofluid demonstrated a 9% increase in the mean Nusselt number, indicating enhanced heat transfer capabilities. However, all modified nanofluids experienced higher pressure drops and friction factors than the base fluid, with the Ag/S nanofluid showing the highest increase in viscosity (11.9%). Surface modifications significantly influence the thermohydraulic performance of silver nanofluids. The silica-shelled nanofluid shows the most substantial enhancement in heat transfer, making it a promising candidate for applications requiring efficient thermal management. However, the increased hydraulic costs associated with higher-pressure drops and friction factors must be carefully managed. Further research is needed to optimize these nanofluids for specific industrial applications, considering long-term stability and the effects of different nanoparticle concentrations and geometries.
Optimizing the Rolling Process of Lightweight Materials
Authors: Rawles Jessica , Fialkova Svitlana , Hubbard Kai , Xu Zhigang , Hale Christopher , Sankar Jagannathan
Published: June 2024

Conventional rolling is a plastic deformation process that uses compression between two rolls to reduce material thickness and produce sheet/plane geometries. This deformation process modifies the material structure by generating texture, reducing the grain size, and strengthening the material. The rolling process can enhance the strength and hardness of lightweight materials while still preserving their inherent lightness. Lightweight metals like magnesium alloys tend to lack mechanical strength and hardness in load-bearing applications. The general rolling process is controlled by the thickness reduction, velocity of the rolls, and temperature. When held at a constant thickness reduction, each pass through the rolls introduces an increase in strain hardening, which could ultimately result in cracking, spallation, and other defects. This study is designed to optimize the rolling process by evaluating the effects of the strain rate, rather than the thickness reduction, as a process control parameter.
TCAD-Based Design and Optimization of Flexible Organic/Si Tandem Solar Cells
Authors: Salem Marwa S. , Okil Mohamed , Shaker Ahmed , Abouelatta Mohamed , Salah Mostafa M. , Al-Dhlan Kawther A. , Gad Michael
Published: June 2024

In order to surmount the Shockley–Queisser efficiency barrier of single-junction solar devices, tandem solar cells (TSCs) have shown a potential solution. Organic and Si materials can be promising candidates for the front and rear cells in TSCs due to their non-toxicity, cost-effectiveness, and possible complementary bandgap properties. This study researches a flexible two-terminal (2-T) organic/Si TSC through TCAD simulation. In the proposed configuration, the organic solar cell (OSC), with a photoactive optical bandgap of 1.78 eV, serves as the front cell, while the rear cell comprises a Si cell based on a thin 70 μm wafer, with a bandgap energy of 1.12 eV. The individual standalone front and bottom cells, upon calibration, demonstrate power conversion efficiencies (PCEs) of 11.11% and 22.69%, respectively. When integrated into a 2-T organic/Si monolithic TSC, the resultant tandem cell achieves a PCE of 20.03%, indicating the need for optimization of the top organic cell to beat the efficiency of the bottom Si cell. To enhance the performance of the OSC, some design ideas are presented. Firstly, the OSC is designed by omitting the organic hole transport layer (HTL). Consequently, through engineering the front contact work function, the PCE is enhanced. Moreover, the influence of varying the absorber defect density of the top cell on TSC performance is investigated. Reduced defect density led to an overall efficiency improvement of the tandem cell to 23.27%. Additionally, the effects of the variation of the absorber thicknesses of the top and rear cells on TSC performance metrics are explored. With the matching condition design, the tandem efficiency is enhanced to 27.60%, with VOC = 1.81 V and JSC = 19.28 mA/cm2. The presented simulation results intimate that the OSC/Si tandem design can find applications in wearable electronics due to their flexibility, environmentally friendly design, and high efficiency.
Density Functional Investigation of [001] and [111] SiNWs and the Effect of Doping with Boron and Phosphorus
Authors: Al-Nuaimi Nedhal Ali Mahmood , Hilser Florian , Gemming Sibylle
Published: June 2024

In the present study, we investigate the influence of boron (B) and phosphorus (P) (p- and n-type, respectively) doping on the electronic properties of ultra-thin silicon nanowires (SiNWs) by gradient-corrected density functional calculations with the Perdew–Burke–Ernzerhof (PBE) approximation. In the limit of very small diameters (5–8 Å), both pristine and highly active unsaturated SiNWs with orientations along the [001] and [111] directions exhibit electronic states around the Fermi level, indicative of conductive properties. Conduction is further enhanced by the introduction of doping atoms, as demonstrated by the relative change in the band structures of SiNWs with and without B and P doping. This investigation provides an important insight into the electronic states of SiNWs, which are candidates for future electronics or sensing applications.
Preparation and Structural Variety of Neutral Heptaphospha-Nortricyclane Derivatives of Zinc and the Coinage Metals
Authors: Roller Clara A. , Doler Berenike , Fischer Roland C.
Published: June 2024

In this study, we report the preparation of neutral Au(I), Ag(I), and Cu(I) derivatives [(hyp)2P7M]n (M = Au, n = 2; M = Ag, Cu, n = 4) of a heptaphospha-nortricyclane cage. Synthesis was conducted via a halodesilylation route under the cleavage of the sterically less shielded trimethyl silyl group, starting from the heteroleptic cage (hyp)2(tms)P7. All coinage metal derivatives exhibit short metal–metal distances of 2.9542(2) Å (Au), 2.8833(6) Å (Ag), and 2.654(1) Å (Cu), respectively. The same synthetic methodology was also applied for the preparation of a zinc derivative, [{(hyp)2P7}2Zn]*Et2O, for which full multinuclear NMR characterization could be conducted.
Exploring Ice Cave Biodiversity in Northeastern Italy
Authors: Latella Leonardo , Brighenti Stefano
Published: June 2024

The ice stored in caves is a widespread yet neglected cryospheric component. The cold-adapted biodiversity of ice caves has received very little attention from research, despite the potential abundance of endemic troglobiotic and cryophilic species and their consequent sensitivity to the changing climate. In this study, we investigated the invertebrate diversity of two ice caves in Northeastern Italy (Bus delle Taccole and Caverna del Sieson, Veneto Region). During 2022 and 2023, we sampled, using pitfall traps, the invertebrates dwelling at different locations in each cave: the shaft base, an intermediate hall, and the cave bottom. At each cave location, we also collected ice samples, on which we measured the stable isotopes of oxygen and hydrogen (δ18O, δ2H), and monitored the air temperature with data-loggers. The two caves had different invertebrate communities, both dominated by a combination of troglobiotic and cryophilic taxa. Despite a low taxonomic richness, which was higher at Taccole (15 taxa) than at Sieson (11 taxa), both caves hosted rare/endemic species, four of which are not described yet. At each cave, the ice water isotopic signatures differed among cave locations, suggesting the ice had formed under different climatic conditions, and/or resulted from different frequencies of thawing/freezing events. The occurrence of summer melt at both caves suggests that these unique ecosystems will quickly disappear, along with their specialized and unique biodiversity.
Arrested Succession on Fire-Affected Slopes in the Krummholz Zone and Subalpine Forest of the Northern Limestone Alps
Authors: De Giuli Marta , Winkler Markus , Deola Thomas , Henschel Julia , Sass Oliver , Wolff Peter , Jentsch Anke
Published: June 2024

Fire in the Northern Alps is comparatively rare. Yet, previous human-ignited fire events in subalpine forests up to the treeline have triggered severe fire damage to vegetation and soil. Here, we investigate post-fire vegetation dynamics in the Northern Limestone Alps about 80 years after disturbance. We observed higher species richness in burned compared to unburned vegetation and clearly distinct floristic communities emerging after fire-driven forest removal, with several alpine specialist species uniquely found in the burned subalpine sites. The functional composition of vegetation was also distinct, with higher relative forb cover in burned plots. This difference was likely driven by disturbance-related environmental changes, such as increased light availability, offering safe sites for subalpine and alpine species. Due to a general lack of tree encroachment, we consider this a case of arrested succession after fire. We conclude that the recovery of fire-affected subalpine forests is modulated by complex interactions of climatic and biotic filters producing extreme site conditions, controlling the recolonization of the disturbed areas by forest species while providing safe sites for the establishment of a rich subalpine and alpine low-statured flora. The coupling of disturbance and abiotic filters makes high-elevation treeline ecotones very vulnerable to climate change.