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17 pages, 1045 KiB  
Article
Professional Development for Teachers in the Digital Age: A Comparative Analysis of Online Training Programs and Policy Implementation
by Yuanhai Gu, Jun He, Wenjuan Huang and Bo Sun
Behav. Sci. 2025, 15(8), 1076; https://doi.org/10.3390/bs15081076 (registering DOI) - 7 Aug 2025
Abstract
In the digital age, online teacher professional development (TPD) has become a key strategy for enhancing instructional quality and ensuring equitable access to continuous learning. This research compares and analyzes Chinese online teacher professional development (TPD) with the United States over a period [...] Read more.
In the digital age, online teacher professional development (TPD) has become a key strategy for enhancing instructional quality and ensuring equitable access to continuous learning. This research compares and analyzes Chinese online teacher professional development (TPD) with the United States over a period of ten years, from 2014 to 2024. This study uses a mixed-methods approach based on policy documents, structured surveys, and interviews to investigate how governance regimes influence TPD outcomes for fair education. Both countries experienced a massive expansion of web-based TPD access and engagement, with participation rates over 75% and effectiveness scores over 4.3 by 2024. China focused on fast scaling by way of centralized mandates and investments in infrastructure, while the United States emphasized gradual expansion through decentralized, locally appropriate models. Most indicators had converged by the end of the period, even with these different approaches. Yet, qualitative evidence reveals persisting gaps in functional access and contextual appropriateness, especially in rural settings. Equality frameworks with attention to teacher agency, policy implementation, and digital usability must supplant weak access metrics. A hybrid paradigm presents itself as an attractive means toward building equitable and productive digital TPD environments through the symbiotic integration of China’s successful scalability and the United States’ professional autonomy. Full article
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19 pages, 3104 KiB  
Article
Predicting Range Shifts in the Distribution of Arctic/Boreal Plant Species Under Climate Change Scenarios
by Yan Zhang, Shaomei Li, Yuanbo Su, Bingyu Yang and Xiaojun Kou
Diversity 2025, 17(8), 558; https://doi.org/10.3390/d17080558 (registering DOI) - 7 Aug 2025
Abstract
Climate warming is anticipated to significantly alter the distribution and composition of plant species in the Arctic, thereby cascading through food webs and affecting both associated fauna and entire ecosystems. To elucidate the trend in plant distribution in response to climate change, we [...] Read more.
Climate warming is anticipated to significantly alter the distribution and composition of plant species in the Arctic, thereby cascading through food webs and affecting both associated fauna and entire ecosystems. To elucidate the trend in plant distribution in response to climate change, we employed the MaxEnt model to project the future ranges of 25 representative Arctic and Circumpolar plant species (including grasses and shrubs). Species distribution data, in conjunction with bioclimatic variables derived from climate projections of three selected General Circulation Models (GCMs), ESM2, IPSl, and MPIE, were utilized to fit the MaxEnt models. Subsequently, we predicted the potential distributions of these species under three Shared Socioeconomic Pathways (SSPs)—SSP126, SSP245, and SSP585—across a timeline spanning 2010, 2050, 2100, 2200, 2250, and 2300 AD. Range shift indices were applied to quantify changes in plant distribution and range sizes. Our results show that the ranges of nearly all species are projected to diminish progressively over time, with a more pronounced rate of reduction under higher emission scenarios. The species are generally expected to shift northward, with the distances of these shifts positively correlated with both the time intervals from the current state and the intensity of thermal forcing associated with the SSPs. Arctic species (A_Spps) are anticipated to face higher extinction risks compared to Boreal–Arctic species (B_Spps). Additional indices, such as range gain, loss, and overlap, consistently corroborate these patterns. Notably, the peak range shift speeds differ markedly between SSP245 and SSP585, with the latter extending beyond 2100 AD. In conclusion, under all SSPs, A_Spps are generally expected to experience more significant range shifts than B_Spps. In the SSP585 scenario all species are projected to face substantial range reductions, with Arctic species being more severely affected and consequently facing the highest extinction risks. These findings provide valuable insights for developing conservation recommendations for polar plant species and have significant ecological and socioeconomic implications. Full article
(This article belongs to the Section Plant Diversity)
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28 pages, 3469 KiB  
Review
Prostate Cancer Treatments and Their Effects on Male Fertility: Mechanisms and Mitigation Strategies
by Aris Kaltsas, Nikolaos Razos, Zisis Kratiras, Dimitrios Deligiannis, Marios Stavropoulos, Konstantinos Adamos, Athanasios Zachariou, Fotios Dimitriadis, Nikolaos Sofikitis and Michael Chrisofos
J. Pers. Med. 2025, 15(8), 360; https://doi.org/10.3390/jpm15080360 (registering DOI) - 7 Aug 2025
Abstract
Prostate cancer (PCa) is the second most frequently diagnosed malignancy in men worldwide. Although traditionally considered a disease of older men, the incidence of early-onset PCa (diagnosis < 55 years) is steadily rising. Advances in screening and therapy have significantly improved survival, creating [...] Read more.
Prostate cancer (PCa) is the second most frequently diagnosed malignancy in men worldwide. Although traditionally considered a disease of older men, the incidence of early-onset PCa (diagnosis < 55 years) is steadily rising. Advances in screening and therapy have significantly improved survival, creating a growing cohort of younger survivors for whom post-treatment quality of life—notably reproductive function—is paramount. Curative treatments such as radical prostatectomy, pelvic radiotherapy, androgen-deprivation therapy (ADT), and chemotherapy often cause irreversible infertility via multiple mechanisms, including surgical disruption of the ejaculatory tract, endocrine suppression of spermatogenesis, direct gonadotoxic injury to the testes, and oxidative sperm DNA damage. Despite these risks, fertility preservation is frequently overlooked in pre-treatment counseling, leaving many patients unaware of their options. This narrative review synthesizes current evidence on how PCa therapies impact male fertility, elucidates the molecular and physiological mechanisms of iatrogenic infertility, and evaluates both established and emerging strategies for fertility preservation and restoration. Key interventions covered include sperm cryopreservation, microsurgical testicular sperm extraction (TESE), and assisted reproductive technologies (ART). Psychosocial factors influencing decision-making, novel biomarkers predictive of post-treatment spermatogenic recovery, and long-term offspring outcomes are also examined. The review underscores the urgent need for timely, multidisciplinary fertility consultation as a routine component of PCa care. As PCa increasingly affects men in their reproductive years, proactively integrating preservation into standard oncologic practice should become a standard survivorship priority. Full article
(This article belongs to the Special Issue Clinical Advances in Male Genitourinary and Sexual Health)
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15 pages, 1107 KiB  
Article
Maximising Achievable Rate Using Intelligent Reflecting Surface in 6G Wireless Communication Systems
by Afrin Jahan Eva, Md. Sahal, Rabita Amin, Muhammad R. A. Khandaker, Risala Tasin Khan, Faisal Tariq and ASM Ashraf Mahmud
Appl. Sci. 2025, 15(15), 8732; https://doi.org/10.3390/app15158732 (registering DOI) - 7 Aug 2025
Abstract
Intelligent reflecting surface (IRS) is a promising technique which aims to shift the paradigm of uncontrollable wireless environment to a controllable one by adding the function of reconfigurability using multiple passive reflecting elements. In this work, optimal beamforming design for maximising achievable rate [...] Read more.
Intelligent reflecting surface (IRS) is a promising technique which aims to shift the paradigm of uncontrollable wireless environment to a controllable one by adding the function of reconfigurability using multiple passive reflecting elements. In this work, optimal beamforming design for maximising achievable rate with respect to variable location of the IRS is considered. In particular, a single-cell wireless system that employs an IRS to aid communication between the user and an access point (AP) equipped with multiple antennas is adopted. An optimisation problem is formulated which aims to maximise the achievable rate, subject to signal-to-interference-plus-noise ratio (SINR) constraint of each individual user as well as the total transmit power constraint at the AP. The problem is solved by jointly optimising the transmit beamforming using active aerial array at the AP and the reflection coefficients using passive phase shifting at the IRS. Since the original optimisation problem is strictly non-convex, the problem is solved optimally by solving a corresponding power minimisation problem. Rigorous simulations have been carried out and the results demonstrate that the IRS-enabled system outperforms benchmark systems and employs significantly fewer RF power amplifiers. Full article
(This article belongs to the Special Issue Future Wireless Communication)
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5 pages, 142 KiB  
Editorial
Manufacturing and Characterization of Metallic Electrode Materials
by Que Huang
Metals 2025, 15(8), 882; https://doi.org/10.3390/met15080882 (registering DOI) - 7 Aug 2025
Abstract
In recent years, the growing demand for resources has driven the development of energy storage devices and related technologies, particularly the application of metal electrode materials, which are of particular importance in lithium, sodium, potassium, and zinc-based ion batteries, metal batteries, and solar [...] Read more.
In recent years, the growing demand for resources has driven the development of energy storage devices and related technologies, particularly the application of metal electrode materials, which are of particular importance in lithium, sodium, potassium, and zinc-based ion batteries, metal batteries, and solar energy storage and catalytic technologies [...] Full article
(This article belongs to the Special Issue Manufacturing and Characterization of Metallic Electrode Materials)
41 pages, 827 KiB  
Systematic Review
Reviewing Evidence for the Impact of Lion Farming in South Africa on African Wild Lion Populations
by Jennah Green, Angie Elwin, Catherine Jakins, Stephanie-Emmy Klarmann, Louise de Waal, Madeleine Pinkess and Neil D’Cruze
Animals 2025, 15(15), 2316; https://doi.org/10.3390/ani15152316 (registering DOI) - 7 Aug 2025
Abstract
The scope and scale of commercial captive lion breeding (CLB) in South Africa have rapidly increased since the 1990s. We conducted a qualitative systematic review using the PRISMA protocol to determine whether CLB provides a sustainable supply side intervention to reduce pressure on [...] Read more.
The scope and scale of commercial captive lion breeding (CLB) in South Africa have rapidly increased since the 1990s. We conducted a qualitative systematic review using the PRISMA protocol to determine whether CLB provides a sustainable supply side intervention to reduce pressure on wild lion populations. A search was performed using three academic databases for sources published between 2008 and 2023. We collated and reviewed the data using an evaluation framework to determine the potential benefits and threats of CLB in the context of conservation. Among the 126 peer-reviewed and 37 grey literature articles identified, we found evidence suggesting that the framework’s criteria were not fully met, raising concerns that CLB may facilitate the demand for lions, their parts, and derivatives. Our findings further indicate a reasonable cause to doubt that the CLB provides a sustainable supply side intervention to meet the commercial demand for lions, their parts, and derivatives. This could adversely impact conservation of wild lion populations. We conclude that further research is required to effectively evaluate the purported conservation benefits of CLB. These insights may also have implications for the policy and governance of commercial predator breeding operations in South Africa and globally. Full article
(This article belongs to the Section Ecology and Conservation)
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21 pages, 3405 KiB  
Article
Allelic Variation of Helicobacter pylori vacA Gene and Its Association with Gastric Pathologies in Clinical Samples Collected in Jordan
by Mamoon M. Al-Hyassat, Hala I. Al-Daghistani, Lubna F. Abu-Niaaj, Sima Zein and Talal Al-Qaisi
Microorganisms 2025, 13(8), 1841; https://doi.org/10.3390/microorganisms13081841 (registering DOI) - 7 Aug 2025
Abstract
Helicobacter pylori is a well-established causative agent of gastritis, peptic ulcers, gastric adenocarcinoma, and primary gastric lymphoma. It colonizes the human stomach and expresses numerous virulent factors that influence disease progression. Among these factors is the cytotoxin vacA gene, which encodes the vacuolating [...] Read more.
Helicobacter pylori is a well-established causative agent of gastritis, peptic ulcers, gastric adenocarcinoma, and primary gastric lymphoma. It colonizes the human stomach and expresses numerous virulent factors that influence disease progression. Among these factors is the cytotoxin vacA gene, which encodes the vacuolating capacity of the cytotoxin and plays a key role in the bacterium’s pathogenic potential. This study investigated the allelic diversity of the vacA among H. pylori strains infecting patients in Jordan with various gastric conditions and examined potential associations between vacA s-and m- genotypes, histopathological and endoscopic findings, and the development of gastric diseases. Gastric biopsies were collected from 106 patients at two hospitals in Jordan who underwent endoscopic examination. The collected biopsies for each patient were subjected to histopathological assessment, urease detection using the Rapid Urease Test (RUT), a diagnostic test for H. pylori, and molecular detection of the vacA gene and its s and m alleles. The histopathology reports indicated that 83 of 106 patients exhibited gastric disorders, of which 81 samples showed features associated with H. pylori infection. The RUT was positive in 76 of 106 with an accuracy of 93.8%. Real-time polymerase chain reaction (RT-PCR) targeting the 16S rRNA gene confirmed the presence of H. pylori in 79 of 81 histologically diagnosed cases as infected (97.5%), while the vacA gene was detected only in 75 samples (~95%). To explore genetic diversity, PCR-amplified fragments underwent sequence analysis of the vacA gene. The m-allele was detected in 58 samples (73%), the s-allele was detected in 45 (57%), while both alleles were not detected in 13% of samples. The predominant genotype combination among Jordanians was vacA s2/m2 (50%), significantly linked to mild chronic gastritis, followed by s1/m2 (35%) and s1/m1 (11.8%) which are linked to severe gastric conditions including malignancies. Age-and gender-related differences in vacA genotype were observed with less virulent s2m2 and s1m2 genotypes predominating in younger adults specially males, while the more virulent m1 genotypes were found exclusively in females and middle-aged patients. Genomic sequencing revealed extensive diversity within H. pylori, likely reflecting its long-standing co-evolution with human hosts in Jordan. This genetic variability plays a key role in modulating virulence and influencing clinical outcomes. Comprehensive characterization of vacA genotypic variations through whole-genome sequencing is essential to enhance diagnostic precision, strengthen epidemiological surveillance, and inform targeted therapeutic strategies. While this study highlights the significance of the vacA m and s alleles, future research is recommended in order to investigate the other vacA allelic variations, such as the i, d, and c alleles, to achieve a more comprehensive understanding of H. pylori pathogenicity and associated disease severity across different strains. These investigations will be crucial for improving diagnostic accuracy and guiding the development of targeted therapeutic strategies. Full article
(This article belongs to the Special Issue Helicobacter pylori Infection: Detection and Novel Treatment)
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14 pages, 475 KiB  
Article
The Relationship Between Childhood Trauma and Shame: The Mediating Role of Dissociation
by Gianluca Santoro, Lucia Sideli, Alessandro Musetti and Adriano Schimmenti
Eur. J. Investig. Health Psychol. Educ. 2025, 15(8), 151; https://doi.org/10.3390/ejihpe15080151 (registering DOI) - 7 Aug 2025
Abstract
Previous research has found significant associations among childhood trauma, dissociation, and shame. Furthermore, the clinical literature suggests that dissociation may foster feelings of shame in individuals who were exposed to childhood trauma. The current study aimed to test the potential mediating effect of [...] Read more.
Previous research has found significant associations among childhood trauma, dissociation, and shame. Furthermore, the clinical literature suggests that dissociation may foster feelings of shame in individuals who were exposed to childhood trauma. The current study aimed to test the potential mediating effect of dissociation on the association between childhood trauma and shame. The study sample consisted of 763 adults (479 females, 62.8%) from the general Italian population, aged between 18 and 65 years (M = 31.31, SD = 13.29). Self-report instruments assessing childhood trauma, dissociation, and shame were administered to participants via an anonymous online survey. Structural equation modeling showed that childhood trauma was associated with increased levels of both dissociation and shame. Moreover, dissociation partially mediated the predictive association between childhood trauma and shame. These findings suggest that dissociation might heighten the tendency to unconsciously reenact self-devaluation and self-blame in individuals exposed to childhood trauma, increasing feelings of shame. Full article
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32 pages, 3521 KiB  
Review
A Systematic Review of Lifestyle Interventions for Neuropathy and Neuropathic Pain: Smoking Cessation
by Michael Klowak, Rachel Lau, Mariyam N. Mohammed, Afia Birago, Bethel Samson, Layla Ahmed, Camille Renee, Milca Meconnen, Ezra Bado, Aquilla Reid-John and Andrea K. Boggild
NeuroSci 2025, 6(3), 74; https://doi.org/10.3390/neurosci6030074 (registering DOI) - 7 Aug 2025
Abstract
Background: Neuropathic pain (NP), resulting from damage to the somatosensory nervous system, affects 7–10% of the global population and remains poorly managed despite available therapies. Smoking has been associated with increased pain severity and disease burden, yet its role in neuropathy/NP has not [...] Read more.
Background: Neuropathic pain (NP), resulting from damage to the somatosensory nervous system, affects 7–10% of the global population and remains poorly managed despite available therapies. Smoking has been associated with increased pain severity and disease burden, yet its role in neuropathy/NP has not been systematically reviewed. This systematic review synthesizes the existing literature on smoking status and its relationship with neuropathy/NP incidence, prevalence, and severity. Methods: The review was conducted in accordance with PRISMA guidelines and included studies that assessed smoking consumption, dependency, quantity, and cessation in individuals with neuropathy/NP. Summary estimates were stratified by exposure type, and pooled odds ratios and relative risks were calculated. Results: Across 62 studies comprising cohort, case–control, and cross-sectional designs, smoking was consistently associated with greater NP prevalence and pain severity. Smoking dependency was linked to increased incidence, while cessation was associated with reduced risk of NP. Despite considerable heterogeneity and risk of bias, particularly from subjective exposure measurement and inconsistent classification, this relationship remained statistically significant. Conclusions: Findings support the role of smoking as a modifiable risk factor in various etiologies of neuropathy/NP. Cessation may represent a low-cost, low-risk, low-tech adjunctive therapy; however, further robust cessation interventional trials are needed, particularly for less common infectious causes of chronic NP such as leprosy. Full article
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27 pages, 17353 KiB  
Article
A Framework to Retrieve Water Quality Parameters in Small, Optically Diverse Freshwater Ecosystems Using Sentinel-2 MSI Imagery
by Matheus Henrique Tavares, David Guimarães, Joana Roussillon, Valentin Baute, Julien Cucherousset, Stéphanie Boulêtreau and Jean-Michel Martinez
Remote Sens. 2025, 17(15), 2729; https://doi.org/10.3390/rs17152729 (registering DOI) - 7 Aug 2025
Abstract
Small lakes (<10 km2) provide a range of ecosystem services but are often overlooked in both monitoring efforts and limnological studies. Remote sensing has been increasingly used to complement in situ monitoring or to provide water colour data for unmonitored inland [...] Read more.
Small lakes (<10 km2) provide a range of ecosystem services but are often overlooked in both monitoring efforts and limnological studies. Remote sensing has been increasingly used to complement in situ monitoring or to provide water colour data for unmonitored inland water bodies. However, due to spatial, radiometric, and spectral constraints, it has been heavily focused on large lakes. Sentinel-2 MSI is the first sensor with the capability to consistently retrieve a wide range of essential water quality variables, such as chlorophyll-a concentration (chl-a) and water transparency, in small water bodies, and to provide long time series. Here, we provide and validate a framework for retrieving two variables, chl-a and turbidity, over lakes with diverse optical characteristics using Sentinel-2 imagery. It is based on GRS for atmospheric and sun glint correction, WaterDetect for water detection, and inversion models that were automatically selected based on two different sets of optical water types (OWTs)—one for each variable; for chl-a, we produced a blended product for improved spatial representation. To validate the approach, we compared the products with more than 600 in situ data from 108 lakes located in the Adour–Garonne river basins, ranging from 3 to ∼5000 ha, as well as remote sensing reflectance (Rrs) data collected during 10 field campaigns during the summer and spring seasons. Rrs retrieval (n = 65) was robust for bands 2 to 5, with MAPE varying from 15 to 32% and achieving correlation from 0.74 up to 0.92. For bands 6 to 8A, the Rrs retrieval was much less accurate, being influenced by adjacency effects. Glint removal significantly enhanced Rrs accuracy, with RMSE improving from 0.0067 to 0.0021 sr−1 for band 4, for example. Water quality retrieval showed consistent results, with an MAPE of 56%, an RMSE of 11.4 mg m−3, and an r of 0.76 for chl-a, and an MAPE of 47%, an RMSE of 9.7 NTU, and an r of 0.87 for turbidity, and no significant effect of lake area or lake depth on retrieval errors. The temporal and spatial representations of the selected parameters were also shown to be consistent, demonstrating that the framework is robust and can be applied over lakes as small as 3 ha. The validated methods can be applied to retrieve time series of chl-a and turbidity starting from 2016 and with a frequency of up to 5 days, largely expanding the database collected by water agencies. This dataset will be extremely useful for studying the dynamics of these small freshwater ecosystems. Full article
(This article belongs to the Section Remote Sensing in Geology, Geomorphology and Hydrology)
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20 pages, 284 KiB  
Article
Speaking the Right Digital Language: How Post Format and Communication Impact University Facebook Engagement
by Imen Gharbi, Ajayeb AbuDaabes, Mohammad Hani Al-Kilani and Walaa Saber Ismail
Adm. Sci. 2025, 15(8), 310; https://doi.org/10.3390/admsci15080310 (registering DOI) - 7 Aug 2025
Abstract
Social media has become a vital communication tool for higher education institutions (HEIs) to reach larger targets, attract followers, and engage with diverse audiences. This study conducted a quantitative and qualitative analysis of 4148 Facebook posts from 16 public and private HEIs in [...] Read more.
Social media has become a vital communication tool for higher education institutions (HEIs) to reach larger targets, attract followers, and engage with diverse audiences. This study conducted a quantitative and qualitative analysis of 4148 Facebook posts from 16 public and private HEIs in the United Arab Emirates (UAE). The aim of the study is to evaluate users’ engagement through their reactions to various post characteristics, including format, language, and content type. The posts generated 177,022 emotes, 17,269 shares, and 8374 comments. The results showed that images are an efficient format for boosting interaction, whereas plain text posts did not generate high engagement. The English language was more conducive for generating shares, while Arabic-language posts generated more emotes and likes. The comparative analysis results showed that private HEIs are more active on their Facebook pages than public HEIs. The content analysis suggested that student-related posts generate the highest level of engagement, while announcements and faculty- and research-related posts drive the lowest levels of engagement. These results offer valuable insights into how HEIs can optimize their social media strategies to enhance user engagement. Full article
15 pages, 1713 KiB  
Review
Current Developments of Iron Oxide Nanomaterials as MRI Theranostic Agents for Pancreatic Cancer
by Fong-Yu Cheng, Boguslaw Tomanek and Barbara Blasiak
J. Nanotheranostics 2025, 6(3), 22; https://doi.org/10.3390/jnt6030022 (registering DOI) - 7 Aug 2025
Abstract
Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive type of pancreatic cancer. PDAC is difficult to diagnose due to a lack of symptoms in early stages, resulting in a survival rate of less than 10%. Moreover, often cancerous tissues cannot be surgically resected [...] Read more.
Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive type of pancreatic cancer. PDAC is difficult to diagnose due to a lack of symptoms in early stages, resulting in a survival rate of less than 10%. Moreover, often cancerous tissues cannot be surgically resected due to their deep abdomen location. Therefore, early detection is the essential strategy enabling effective PDAC treatment. Over the past few years, the development of nanomaterials for Magnetic Resonance Imaging (MRI) has expanded and improved imaging quality and diagnostic accuracy. Nanomaterials can be currently designed, manufactured and synthesized with other structures to provide improved diagnosis and advanced therapy. Although MRI equipped with the innovative nanomaterials became a powerful tool for the diagnosis and treatment of patients with various cancers, the detection of PDAC remains challenging. Nevertheless, recent advancements in PDAC theranostics provided progress in the detection and treatment of this challenging type of cancer. Present research in this area is focused on suitable carriers, eliminating delivery barriers, and the development of efficient anti-cancer drugs. Herein we discuss the current applications of iron oxide nanoparticles to the MRI diagnosis and treatment of pancreatic cancer. Full article
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24 pages, 23907 KiB  
Article
Optimizing Data Pipelines for Green AI: A Comparative Analysis of Pandas, Polars, and PySpark for CO2 Emission Prediction
by Youssef Mekouar, Mohammed Lahmer and Mohammed Karim
Computers 2025, 14(8), 319; https://doi.org/10.3390/computers14080319 (registering DOI) - 7 Aug 2025
Abstract
This study evaluates the performance and energy trade-offs of three popular data processing libraries—Pandas, PySpark, and Polars—applied to GreenNav, a CO2 emission prediction pipeline for urban traffic. GreenNav is an eco-friendly navigation app designed to predict CO2 emissions and determine low-carbon [...] Read more.
This study evaluates the performance and energy trade-offs of three popular data processing libraries—Pandas, PySpark, and Polars—applied to GreenNav, a CO2 emission prediction pipeline for urban traffic. GreenNav is an eco-friendly navigation app designed to predict CO2 emissions and determine low-carbon routes using a hybrid CNN-LSTM model integrated into a complete pipeline for the ingestion and processing of large, heterogeneous geospatial and road data. Our study quantifies the end-to-end execution time, cumulative CPU load, and maximum RAM consumption for each library when applied to the GreenNav pipeline; it then converts these metrics into energy consumption and CO2 equivalents. Experiments conducted on datasets ranging from 100 MB to 8 GB demonstrate that Polars in lazy mode offers substantial gains, reducing the processing time by a factor of more than twenty, memory consumption by about two-thirds, and energy consumption by about 60%, while maintaining the predictive accuracy of the model (R2 ≈ 0.91). These results clearly show that the careful selection of data processing libraries can reconcile high computing performance and environmental sustainability in large-scale machine learning applications. Full article
(This article belongs to the Section Internet of Things (IoT) and Industrial IoT)
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19 pages, 1651 KiB  
Article
Genetic Evaluation of Growth Traits in Black-Boned and Thai Native Synthetic Chickens Under Heat Stress
by Wootichai Kenchaiwong, Doungnapa Promket, Vatsana Sirisan, Vibuntita Chankitisakul, Srinuan Kananit and Wuttigrai Boonkum
Animals 2025, 15(15), 2314; https://doi.org/10.3390/ani15152314 (registering DOI) - 7 Aug 2025
Abstract
Heat stress is a critical constraint to poultry production in tropical regions, where the temperature–humidity index (THI) frequently exceeds thermoneutral thresholds. Despite growing interest in climate-resilient livestock, limited research has explored the genetic sensitivity of local chicken breeds to increasing THI levels. This [...] Read more.
Heat stress is a critical constraint to poultry production in tropical regions, where the temperature–humidity index (THI) frequently exceeds thermoneutral thresholds. Despite growing interest in climate-resilient livestock, limited research has explored the genetic sensitivity of local chicken breeds to increasing THI levels. This study aimed to evaluate the genetic effects of increasing THI on growth performance traits in two tropical chicken breeds. The data included body weight (BW), average daily gain (ADG), and absolute growth rate (AGR) from 4,745 black-boned and 3,001 Thai native synthetic chickens across five generations. Growth data were collected from hatching to 12 weeks of age, whereas temperature and humidity were continuously recorded to calculate daily THI values. A reaction norm model was used to estimate genetic parameters and rate of decline of BW, ADG, and AGR traits under varying THI thresholds (THI70 to THI80). Results indicated that the onset of heat stress occurred at THI72 for black-boned chickens and at THI76 for Thai native synthetic chickens. Heritability estimates for BW, ADG, and AGR decreased as the THI increased in both chicken breeds. However, the Thai native synthetic chickens consistently exhibited higher genetic potential across all THI levels (average heritability: BW = 0.28, ADG = 0.25, AGR = 0.36) compared to the black-boned chickens (average heritability: BW = 0.21, ADG = 0.15, AGR = 0.23). Under mild heat stress (THI72), black-boned chickens showed sharp declines in all traits (average reduction in BW = −10.9 g, ADG = −0.87 g/day, AGR = −3.20 g/week), whereas Thai native synthetic chickens maintained stable performance. At THI76, both breeds experienced significant reductions, particularly in males. Estimated breeding values (EBVs) for AGR decreased linearly with THI, though Thai native synthetic chickens showed greater individual variability, with some birds maintaining stable or positive EBVs up to THI80—suggesting the presence of heat-resilient genotypes. In conclusion, Thai native synthetic chickens demonstrated superior thermotolerance and genetic robustness under increasing THI conditions. The identification of breed-specific THI thresholds and resilient individuals provides novel insights for climate-smart poultry breeding. These findings offer valuable tools for genetic selection, environmental management, and long-term adaptation strategies in response to global climate change. Full article
(This article belongs to the Section Poultry)
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45 pages, 2014 KiB  
Article
Innovative Business Models Towards Sustainable Energy Development: Assessing Benefits, Risks, and Optimal Approaches of Blockchain Exploitation in the Energy Transition
by Aikaterini Papapostolou, Ioanna Andreoulaki, Filippos Anagnostopoulos, Sokratis Divolis, Harris Niavis, Sokratis Vavilis and Vangelis Marinakis
Energies 2025, 18(15), 4191; https://doi.org/10.3390/en18154191 (registering DOI) - 7 Aug 2025
Abstract
The goals of the European Union towards the energy transition imply profound changes in the energy field, so as to promote sustainable energy development while fostering economic growth. To achieve these changes, the incorporation of sustainable technologies supporting decentralisation, energy efficiency, renewable energy [...] Read more.
The goals of the European Union towards the energy transition imply profound changes in the energy field, so as to promote sustainable energy development while fostering economic growth. To achieve these changes, the incorporation of sustainable technologies supporting decentralisation, energy efficiency, renewable energy production, and demand flexibility is of vital importance. Blockchain has the potential to change energy services towards this direction. To optimally exploit blockchain, innovative business models need to be designed, identifying the opportunities emerging from unmet needs, while also considering potential risks so as to take action to overcome them. In this context, the scope of this paper is to examine the opportunities and the risks that emerge from the adoption of blockchain in four innovative business models, while also identifying mitigation strategies to support and accelerate the energy transition, thus proposing optimal approaches of exploitation of blockchain in energy services. The business models concern Energy Performance Contracting with P4P guarantees, improved self-consumption in energy cooperatives, energy efficiency and flexibility services for natural gas boilers, and smart energy management for EV chargers and HVAC appliances. Firstly, the value proposition of the business models is analysed and results in a comprehensive SWOT analysis. Based on the findings of the analysis and consultations with relevant market actors, in combination with the examination of the relevant literature, risks are identified and evaluated through a qualitative assessment approach. Subsequently, specific mitigation strategies are proposed to address the detected risks. This research demonstrates that blockchain integration into these business models can significantly improve energy efficiency, reduce operational costs, enhance security, and support a more decentralised energy system, providing actionable insights for stakeholders to implement blockchain solutions effectively. Furthermore, according to the results, technological and legal risks are the most significant, followed by political, economic, and social risks, while environmental risks of blockchain integration are not as important. Strategies to address risks relevant to blockchain exploitation include ensuring policy alignment, emphasising economic feasibility, facilitating social inclusion, prioritising security and interoperability, consulting with legal experts, and using consensus algorithms with low energy consumption. The findings offer clear guidance for energy service providers, policymakers, and technology developers, assisting in the design, deployment, and risk mitigation of blockchain-enabled business models to accelerate sustainable energy development. Full article
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