bluuebunny/crossref_metadata_2025 huggingface dataset:
A Natural Astragalus-Based Nutritional Supplement Lengthens Telomeres in a Middle-Aged Population: A Randomized, Double-Blind, Placebo-Controlled Study
Authors: de Jaeger Christophe , Kruiskamp Saskia , Voronska Elena , Lamberti Carla , Baramki Hani , Beaudeux Jean Louis , Cherin Patrick
Published: September 2024

Telomeres are ribonucleoprotein structures that form a protective buffer at the ends of chromosomes, maintaining genomic integrity during the cell cycle. A decrease in average telomere length is associated with with age and with aging-related diseases such as cancer and cardiovascular disease. In this study, we conducted a randomized, double-blind, placebo-controlled trial over six months to compare the effects of the Astragalus-based supplement versus a placebo on telomere length (TL) in 40 healthy volunteers (mean age 56.1 ± 6.0 years). Twenty subjects received the supplement, and 20 received placebo capsules. All participants completed the study, and no adverse side effects were reported at six months. Subjects taking the Astragalus-based supplement exhibited significantly longer median TL (p = 0.01) and short TL (p = 0.004), along with a lower percentage of short telomeres, over the six-month period, while the placebo group showed no change in TL. This trial confirmed that the supplement significantly lengthens both median and short telomeres by increasing telomerase activity and reducing the percentage of short telomeres (<3 Kbp) in a statistically and possibly clinically significant manner. These results align with a previous open prospective trial, which found no toxicity associated with the supplement’s intake. These findings suggest that this Astragalus-based supplement warrants further investigation for its potential benefits in promoting health, extending life expectancy, and supporting healthy aging.
Pediatric Chronic Intestinal Failure: Something Moving?
Authors: Demirok Aysenur , Nagelkerke Sjoerd C. J. , Benninga Marc A. , Jonkers-Schuitema Cora F. , van Zundert Suzanne M. C. , Werner Xavier W. , Sovran Bruno , Tabbers Merit M.
Published: September 2024

Pediatric chronic intestinal failure (PIF) is a rare and heterogeneous condition characterized by the inability of the patient’s intestine to adequately absorb the required fluids and/or nutrients for growth and homeostasis. As a result, patients will become dependent on home parenteral nutrition (HPN). A MEDLINE search was performed in May 2024 with keywords “intestinal failure”, “parenteral nutrition” and “pediatric”. Different underlying conditions which may result in PIF include short bowel syndrome, intestinal neuromuscular motility disorders and congenital enteropathies. Most common complications associated with HPN are catheter-related bloodstream infections, catheter-related thrombosis, intestinal failure-associated liver disease, small intestinal bacterial overgrowth, metabolic bone disease and renal impairment. Treatment for children with PIF has markedly improved with a great reduction in morbidity and mortality. Centralization of care in specialist centers and international collaboration between centers is paramount to further improve care for this vulnerable patient group. A recently promising medical therapy has become available for children with short bowel syndrome which includes glucagon-like peptide 2, a naturally occurring hormone which is known to delay gastric emptying and induce epithelial proliferation. Despite advances in curative and supportive treatment, further research is necessary to improve nutritional, pharmacological and surgical care and prevention of complications associated with parenteral nutrition use.
Congenital Diarrhoeas and Enteropathies
Authors: Köglmeier Jutta , Lindley Keith James
Published: September 2024

Congenital diarrhoeas and enteropathies (CODE) are a heterogeneous group of disorders. Many affected infants present with catastrophic dehydration in the first few days of life, although the clinical phenotype is variable. Advances in the understanding of underlying pathomechanisms and genetic testing, as well as improved management, in particular intravenous nutrition support, have allowed affected patients to survive well beyond childhood. Awareness and understanding of these rare diseases are hence needed, both amongst paediatricians and adult physicians. In this review, we discuss the different groups of disorders based on a review of the current literature and provide a diagnostic and therapeutic approach. Many of the subtypes of CODE result in the need for prolonged or indefinite parenteral nutrition. Further research is needed to identify new CODE to improve the recognition and management of these children, which can assist in developing new targeted therapies and potentially a long-term cure.
Analyzing Trends in Saharan Dust Concentration and Its Relation to Sargassum Blooms in the Eastern Caribbean
Authors: Hernández Ayala José J. , Méndez-Tejeda Rafael
Published: September 2024

This study investigates the temporal trends and correlations between Saharan dust mass concentration densities (DMCD) and Sargassum concentrations (SCT) in the tropical North Atlantic. Average DMCD data for June, July, and August from 1980 to 2022, alongside SCT data for the same months from 2012 to 2022, were analyzed using Mann–Kendall tests for trends and lagged regression models to assess whether higher Saharan dust levels correlate with Sargassum outbreaks in the region. A comprehensive analysis reveals a significant upward trend in Saharan dust quantities over the study period, with the summer months of June, July, and August exhibiting consistent increases. Notably, 2018 and 2020 recorded the highest mean DMCD levels, with June showing the most significant increasing trend, peaking in 2019. These findings are consistent with previous studies indicating a continuous elevation in Saharan dust concentrations in the tropical atmosphere of the North Atlantic. Simultaneously, Sargassum concentrations also show a notable increasing trend, particularly in 2018, which experienced both peak SCT and elevated DMCD levels. Mann–Kendall tests confirm statistically significant upward trends in both Saharan dust and Sargassum concentrations. Simple linear regression and lagged regression analyses reveal positive correlations between DMCD and SCT, highlighting a temporal component with stronger associations observed in July and the overall June–July–August (JJA) period. These results underscore the potential contribution of elevated Saharan dust concentrations to the recent surge in Sargassum outbreaks in the tropical North Atlantic. Furthermore, the results from forward stepwise regression (FSR) models indicate that DMCD and chlorophyll (CHLO) are the most critical predictors of SCT for the summer months, while sea surface temperature (SST) was not a significant predictor. These findings emphasize the importance of monitoring Saharan dust and chlorophyll trends in the Eastern Caribbean, as both factors are essential for improving Sargassum modeling and prediction in the region. This study provides valuable insights into the climatic factors influencing marine ecosystems and highlights the need for integrated environmental monitoring to manage the impacts on coastal economies.
Galactic Stellar Black Hole Binaries: Spin Effects on Jet Emissions of High-Energy Gamma-Rays
Authors: Rarras Dimitrios , Kosmas Theocharis , Papavasileiou Theodora , Kosmas Odysseas
Published: September 2024

In the last few decades, galactic stellar black hole X-ray binary systems (BHXRBs) have aroused intense observational and theoretical research efforts specifically focusing on their multi-messenger emissions (radio waves, X-rays, γ-rays, neutrinos, etc.). In this work, we investigate jet emissions of high-energy neutrinos and gamma-rays created through several hadronic and leptonic processes taking place within the jets. We pay special attention to the effect of the black hole’s spin (Kerr black holes) on the differential fluxes of photons originating from synchrotron emission and inverse Compton scattering and specifically on their absorption due to the accretion disk’s black-body radiation. The black hole’s spin (dimensionless spin parameter a*) enters into the calculations through the radius of the innermost circular orbit around the black hole, the RISCO parameter, assumed to be the inner radius of the accretion disk, which determines its optical depth τdisk. In our results, the differential photon fluxes after the absorption effect are depicted as a function of the photon energy in the range 1GeV ≤E≤103GeV. It is worth noting that when the black holes’ spin (α*) increases, the differential photon flux becomes significantly lower.
Benzodiazepine Adverse Reaction Cases Age 50 and Older Reported to the U.S. Poison Centers: Healthcare Use and Major Medical Effects
Authors: Choi Bryan Y. , Choi Namkee G. , Marti C. Nathan , Baker S. David
Published: September 2024

Background: Despite widespread consensus on the need to reduce benzodiazepine (BZD) use in older adults, prescription rates in the U.S. have paradoxically increased over the past few decades. Objective: We examined (1) the characteristics of the BZD adverse reaction cases in patients aged 50 and older that were admitted to a healthcare facility (HCF) and experienced major effects/death, and (2) the associations between the concomitant use of opioids and/or antidepressants and HCF admission and major effects/death among BZD cases. Methods: We used the 2015–2022 National Poison Data System (NPDS), which contained data from 55 America’s Poison Centers. We fitted two multivariable logistic regression models to examine the associations between the co-use of opioids and/or antidepressants and HCF admission and major effects/death. Results: Of the BZD cases that were examined (N = 1979), 14.9% or 295 cases were admitted to healthcare facilities, and 8.5% of those who were followed up (77 out of 893 cases) experienced major effects or death. The number of co-used substances, co-use of opioids and antidepressants, atypical antipsychotics, anticonvulsants, muscle relaxants, and Gabapentin were associated with greater odds of healthcare admission. Co-use of opioids and healthcare admission were associated with greater odds of major effects/death. Conclusions: Adverse reactions and healthcare admissions are likely to be prevented when healthcare providers limit and carefully monitor BZD prescribing, especially for those who are on other medications, including prescription opioids and antidepressants.
Reactive Oxygen Species-Regulated Conjugates Based on Poly(jasmine) Lactone for Simultaneous Delivery of Doxorubicin and Docetaxel
Authors: Verma Jyoti , Kumar Vishal , Wilen Carl-Eric , Rosenholm Jessica M. , Bansal Kuldeep K.
Published: September 2024

In cancer therapy, it is essential to selectively release cytotoxic agents into the tumor to prevent the adverse effects associated with anticancer drugs. Thus, in this study, a stimuli-sensitive polymer–drug conjugate was synthesized for selective drug release. Doxorubicin (DOX) and docetaxel (DTX) were conjugated onto novel poly(jasmine lactone) based copolymer via a thioketal (TK) linker. In addition, a photosensitizer (chlorin e6) was attached to the polymer, which served as a reactive oxygen species generator to cleave the TK linker. The conjugate is readily self-assembled into micelles less than 100 nm in size. Micelles demonstrate a notable increase in their ability to cause cell death when exposed to near-infrared (NIR) light on MDA-MB-231 breast cancer cells. The increase in cytotoxicity is higher than that observed with the combination of free DOX and DTX. The accumulation of DOX in the nucleus after release from the micelles (laser irradiation) was also confirmed by confocal microscopy. In the absence of light, micelles did not show any toxicity while the free drugs were found toxic irrespective of the light exposure. The obtained results suggest the targeted drug delivery potential of micelles regulated by the external stimuli, i.e., NIR light.
Polyesters and Polyester Nano- and Microcarriers for Drug Delivery
Authors: Slomkowski Stanislaw , Basinska Teresa , Gadzinowski Mariusz , Mickiewicz Damian
Published: September 2024

Many therapies require the transport of therapeutic compounds or substances encapsulated in carriers that reduce or, if possible, eliminate their direct contact with healthy tissue and components of the immune system, which may react to them as something foreign and dangerous to the patient’s body. To date, inorganic nanoparticles, solid lipids, micelles and micellar aggregates, liposomes, polymeric micelles, and other polymer assemblies were tested as drug carriers. Specifically, using polymers creates a variety of options to prepare nanocarriers tailored to the chosen needs. Among polymers, aliphatic polyesters are a particularly important group. The review discusses controlled synthesis of poly(β-butyrolactone)s, polylactides, polyglycolide, poly(ε-caprolactone), and copolymers containing polymacrolactone units with double bonds suitable for preparation of functionalized nanoparticles. Discussed are syntheses of aliphatic polymers with controlled molar masses ranging from a few thousand to 106 and, in the case of polyesters with chiral centers in the chains, with controlled microstructure. The review presents also a collection of methods useful for the preparation of the drug-loaded nanocarriers: classical, developed and mastered more recently (e.g., nanoprecipitation), and forgotten but still with great potential (by the direct synthesis of the drug-loaded nanoparticles in the process comprising monomer and drug). The article describes also in-vitro and model in-vivo studies for the brain-targeted drugs based on polyester-containing nanocarriers and presents a brief update on the clinical studies and the polyester nanocarrier formulation approved for application in the clinics in South Korea for the treatment of breast, lung, and ovarian cancers.
Enhancing Brain–Computer Interfaces through Kriging-Based Fusion of Sparse Regression Partial Differential Equations to Counter Injection Molding View of Node Displacement Effects
Authors: Chang Hanjui , Sun Yue , Lu Shuzhou , Lan Yuntao
Published: September 2024

Injection molding is an efficient and precise manufacturing technology that is widely used in the production of plastic products. In recent years, injection molding technology has made significant progress, especially with the combination of in-mold electronics (IME) technology, which makes it possible to embed electronic components directly into the surface of a product. IME technology improves the integration and performance of a product by embedding conductive materials and functional components in the mold. Brain–computer interfaces (BCIs) are a rapidly growing field of research that aims to capture, analyze, and feedback brain signals by directly connecting the brain to external devices. The Utah array, a high-density microelectrode array, has been widely used for the recording and transmission of brain signals. However, the traditional fabrication method of the Utah array suffers from high cost and low integration, which limits its promotion in practical applications. The lines that receive EEG signals are one of the key parts of a brain–computer interface system. The optimization of injection molding parameters is particularly important in order to effectively embed these lines into thin films and to ensure the precise displacement of the line nodes and the stability of signal transmission during the injection molding process. In this study, a method based on the Kriging prediction model and sparse regression partial differential equations (PDEs) is proposed to optimize the key parameters in the injection molding process. This method can effectively predict and control the displacement of nodes in the film, ensure the stability and reliability of the line during the injection process, and improve the accuracy of EEG signal transmission and system performance. The optimal injection parameters were finally obtained: a holding pressure of 525 MPa, a holding time of 50 s, and a melting temperature of 285 °C. Under this condition, the average node displacement of UA was reduced from the initial 0.19 mm to 0.89 µm, with an optimization rate of 95.32%.
Cognitive Impairment and Risk of Depressive Episodes from a Bipolar Spectrum Perspective: A Case-Control Study in Older Adults during the COVID-19 Lockdown
Authors: Primavera Diego , Bert Fabrizio , Romano Ferdinando , La Torre Giuseppe , Gonzalez Cesar Ivan Aviles , Perra Alessandra , Fragoso-Castilla Pedro José , Guerra Muñoz Martha Esther , Tramontano Enzo , Machado Sergio , Nardi Antonio Egidio , Sancassiani Federica , Carta Mauro Giovanni
Published: September 2024

Background: A wide range of conditions, including mixed depressive symptoms, hyperactivity, cognitive impairment (CI) might be expressions of Bipolar Spectrum Disorder (BSD) according to the neo-Kraepelinian perspective, even in advanced age. CI, which has a high prevalence in the elderly population, when it occurs in comorbidity with depression further hinders therapy response and functional ability. The present study aims to explore risk factors associated with CI in elderly individuals experiencing a depressive episode during lockdown a period marked by significant stressors and rhythm disruption. Methods: A case-control study analyzed data from a previous RCT (secondary analyses) on elderly individuals living at home, assessing depressive symptoms, cognitive performance, hyperactivity, and hypertension before (T0) and during lockdown (T1). Results: Participants with lower pre-pandemic cognitive performance were more prone to lockdown depression compared to those with higher baseline function (F = 6.074; p = 0.016). Among those experiencing lockdown depression without prior depression, those with low cognitive performance were more prevalent than the control group without depression (OR = 11.8; p = 0.015). Conclusion: This study highlights a potentially vulnerable subgroup within the elderly population that requires targeted interventions and support during stressful events. Future research should explore the underlying mechanisms linking cognitive decline and depression in older adults, particularly those with a possible bipolar spectrum predisposition.
Preservation of Historical Buildings through the Lens of International Law
Authors: Lanciotti Alessandra
Published: September 2024

Historical buildings deserve preservation not only for their aesthetic features but also as guardians of cultural and spiritual values. This is now acknowledged by several international law norms. Nonetheless, the legal discourse about their preservation carries a set of problematic implications because it is hard to adopt regulations that combine protection, promotion and valorisation with economic investments and market strategies and with everyday urban life. This is particularly evident with regard to immovables located within historical cities or towns whose economy depends on marketing the cultural identity, authenticity and history of the place to outsiders. This paper highlights the approach adopted by the most relevant international legal instruments which focus on the protection of what belongs to the historical city’s cultural heritage as being of crucial significance for individuals and communities in relation to their cultural identity. In this perspective, the safeguard of historical buildings can be linked to the right of access to and enjoyment of cultural heritage: a specific human right recognized under international law. The issue at stake is how to comply with principles and rules of international law while at the same time respond to the needs of modern life and economy. This paper identifies the rules and principles of international law that have gained legal relevance and can provide valid tools to states and local administrations to implement and fulfil protectionist policies for historical buildings.
Protein SUMOylation and Its Functional Role in Nuclear Receptor Control
Authors: Wild Nele , Kaiser Charlotte Sophia , Wunderlich Gerhard , Liebau Eva , Wrenger Carsten
Published: September 2024

Post-translational protein modifications (PTMs) significantly enhance the functional diversity of proteins and are therefore important for the expansion and the dynamics of the cell’s proteome. In addition to structurally simpler PTMs, substrates also undergo modification through the reversible attachment of small proteins. The best understood PTM of this nature to date is the covalent conjugation of ubiquitin and ubiquitin-like proteins (UBLs) to their substrates. The protein family of small ubiquitin-like modifier (SUMO) is one of these UBLs that has received increasing scientific attention. The pathway of SUMOylation is highly conserved in all eukaryotic cells and is crucial for their survival. It plays an essential role in many biological processes, such as the maintenance of genomic integrity, transcriptional regulation, gene expression, and the regulation of intracellular signal transduction, and thereby influences DNA damage repair, immune responses, cell cycle progression, and apoptosis. Several studies have already shown that in this context protein SUMOylation is involved in the control mechanisms of various cellular receptors. This article unites data from different studies focusing on the investigation of the strictly conserved three-step enzyme cascade of protein SUMOylation and the functional analysis of the involved proteins E1, E2, and E3 and SUMOylation target proteins. Furthermore, this review highlights the role of nuclear receptor SUMOylation and its importance for the cellular functionality and disease development arising from defects in correct protein SUMOylation.
Shared Religious Education through Christian–Islamic Team Teaching
Authors: Gmoser Agnes , Kramer Michael , Mešanović Mevlida , Weirer Wolfgang , Wenig Eva , Yağdı Şenol
Published: September 2024

The article, which is written by an interreligious team, provides comprehensive insights into the conception, implementation and accompanying research of a project on Christian–Islamic religious education in team teaching. The aim of the project is to expand the denominational religious education lessons anchored in Austrian schools through religious-cooperative units taught jointly by a Christian and an Islamic teacher. The analysis of the teaching units is carried out in the format of design-based research and thus encompasses numerous aspects of interreligious educational processes, which are examined in this article. Firstly, the design of the project is described and the legal framework associated with it is explained in the context of the Austrian school system. Subsequently, learning requirements on the part of Christian and Muslim pupils are presented, with a particular focus on their preconceptions and attitudes towards religion in general as well as other religions. Special attention is paid to the specific framework conditions of Islamic religious education teachers, which differ in many aspects from those of Catholic religious education teachers. Furthermore, interreligious competences they consider necessary are described. Specific insights into the teaching units and the complementary research provide information about the opportunities and challenges of interreligious education in team teaching by two teachers. After this focus on the teachers, an outline of the students’ perspectives on the teaching units completes the presentation of the research results. In the concluding summary, the local theories developed from the overall project are presented and discussed.
Catholic Ecological Organizations in Poland and Italy: History, Actions, and Organizational Challenges
Authors: Jewdokimow Marcin , Palmisano Stefania , Castagnetto Marco , Sadłoń Wojciech
Published: September 2024

The paper characterizes four Polish and Italian Catholic organizations that operate within the ecological field. The study of these organizations zooms in on the process of “greening of Catholicism” in Poland and Italy taking place. Studied Catholic organizations in Poland and Italy operate within different social and religious contexts. They face challenges, including resistance from traditionalists who view ecology as a leftist notion. To overcome this, the organizations studied frame ecological issues as religious duties, drawing on diverse traditions within Catholicism and emphasizing figures like John Paul II. They use religious resources such as Catholic identities, values, and symbols to appeal to a broader audience beyond traditional activists. Yet, their emphasis on Catholicism hinders cooperation with secular environmental groups and limits engagement with left-wing environmental politics.
Improving GNSS-IR Sea Surface Height Accuracy Based on a New Ionospheric Stratified Elevation Angle Correction Model
Authors: Zhu Jiadi , Zheng Wei , Shen Yifan , Xu Keke , Zhang Hebing
Published: September 2024

Approximately 71% of the Earth’s surface is covered by vast oceans. With the exacerbation of global climate change, high-precision monitoring of sea surface height variations is of vital importance for constructing global ocean gravity fields and preventing natural disasters in the marine system. Global Navigation Satellite System Interferometry Reflectometry (GNSS-IR) sea surface altimetry is a method of inferring sea surface height based on the signal-to-noise ratio of satellite signals. It enables the retrieval of sea surface height variations with high precision. However, navigation satellite signals are influenced by the ionosphere during propagation, leading to deviations in the measured values of satellite elevation angles from their true values, which significantly affects the accuracy of GNSS-IR sea surface altimetry. Based on this, the contents of this paper are as follows: Firstly, a new ionospheric stratified elevation angle correction model (ISEACM) was developed by integrating the International Reference Ionosphere Model (IRI) and ray tracing methods. This model aims to improve the accuracy of GNSS-IR sea surface altimetry by correcting the ionospheric refraction effects on satellite elevation angles. Secondly, four GNSS stations (TAR0, PTLD, GOM1, and TPW2) were selected globally, and the corrected sea surface height values obtained using ISEACM were compared with observed values from tide gauge stations. The calculated average Root Mean Square Error (RMSE) and Pearson Correlation Coefficient (PCC) were 0.20 m and 0.83, respectively, indicating the effectiveness of ISEACM in sea surface height retrieval. Thirdly, a comparative analysis was conducted between sea surface height retrieval before and after correction using ISEACM. The optimal RMSE and PCC values with tide gauge station observations were 0.15 m and 0.90, respectively, representing a 20.00% improvement in RMSE and a 4.00% improvement in correlation coefficient compared to traditional GNSS-IR retrieval heights. These experimental results demonstrate that correction with ISEACM can effectively enhance the precision of GNSS-IR sea surface altimetry, which is crucial for accurate sea surface height measurements.
Ranking of 10 Global One-Arc-Second DEMs Reveals Limitations in Terrain Morphology Representation
Authors: Guth Peter L. , Trevisani Sebastiano , Grohmann Carlos H. , Lindsay John , Gesch Dean , Hawker Laurence , Bielski Conrad
Published: September 2024

At least 10 global digital elevation models (DEMs) at one-arc-second resolution now cover Earth. Comparing derived grids, like slope or curvature, preserves surface spatial relationships, and can be more important than just elevation values. Such comparisons provide more nuanced DEM rankings than just elevation root mean square error (RMSE) for a small number of points. We present three new comparison categories: fraction of unexplained variance (FUV) for grids with continuous floating point values; accuracy metrics for integer code raster classifications; and comparison of stream channel vector networks. We compare six global DEMs that are digital surface models (DSMs), and four edited versions that use machine learning/artificial intelligence techniques to create a bare-earth digital terrain model (DTM) for different elevation ranges: full Earth elevations, under 120 m, under 80 m, and under 10 m. We find edited DTMs improve on elevation values, but because they do not incorporate other metrics in their training they do not improve overall on the source Copernicus DSM. We also rank 17 common geomorphic-derived grids for sensitivity to DEM quality, and document how landscape characteristics, especially slope, affect the results. None of the DEMs perform well in areas with low average slope compared to reference DTMs aggregated from 1 m airborne lidar data. This indicates that accurate work in low-relief areas grappling with global climate change should use airborne lidar or very high resolution image-derived DTMs.
The Impact of the Expansion and Contraction of China Cities on Carbon Emissions, 2002–2021, Evidence from Integrated Nighttime Light Data and City Attributes
Authors: Qian Jiaqi , Guan Yanning , Yang Tao , Ruan Aoming , Yao Wutao , Deng Rui , Wei Zhishou , Zhang Chunyan , Guo Shan
Published: September 2024

Exploring the impact of urbanization on carbon emissions is crucial for formulating effective emission reduction policies. Using nighttime light data and attribute data from 68 Chinese cities (2002–2021), this paper develops an urban development evaluation system with the entropy method. The Lasso method is employed to select key factors affecting carbon emissions, and hierarchical regression models are utilized to analyze these factors across different city types. The results show the following: (1) The extraction of built-up areas using integrated nighttime light data yields an overall accuracy ranging from 70.90% to 98.87%, reflecting high precision. (2) Expanding cities have predominated over the past two decades, indicating a continued upward trend in urbanization in China. (3) Urban development is influenced by internal characteristics and geographic location: contracting cities are mainly inland heavy industrial centers, while expanding cities are located in economically advanced coastal regions. Additionally, it is also impacted by the growth of surrounding cities, exemplified by the imbalance between central cities and their peripheries within metropolitan areas. (4) The expansion of built-up areas is a significant factor affecting carbon emissions across all city types. For expanding cities, managing population growth and promoting tertiary sector development are recommended, while contracting cities should focus on judicious economic planning and virescence area protection.
Analysis of Nearshore Near-Inertial Oscillations Using Numerical Simulation with Data Assimilation in the Pearl River Estuary of the South China Sea
Authors: Jiang Zihao , Wei Chunlei , Yang Fan , Wei Jun
Published: September 2024

The High-Frequency (HF) radar network has become an effective method for detecting coastal currents. In this study, we confirmed the effectiveness of the HF radar measurements by comparing with the Acoustic Doppler Current Profiler (ADCP) and explore the possibility of assimilating radar data into a regional coastal ocean model. A regional high-resolution model with resolution of 10 m was first built in the Pearl River Estuary (PRE). However, analysis of the Hovmöller diagrams from the model simulations in this study indicated a significant deficiency in representing Near-Inertial Oscillations (NIOs) in the PRE, particularly in the east–west direction, despite including wind fields in the input data, during the week from 3 to 8 August 2022. To overcome the model deficiency, we conducted a set of assimilation experiments and performed sensitivity analyses. The results of sensitivity experiments indicate that the model exhibits a sufficient capacity to replicate NIOs after assimilation, lasting approximately 5–6 days. To further analyze the reasons for the decay in the magnitude of the NIOs, data from the three ADCP stations were compared with model results by applying the momentum equation. The assimilated vertical diffusion term outperforms the unassimilated model in representing NIOs. These findings highlight the importance of the vertical diffusion term for simulating NIOs and the data assimilation in improving the model’s representation of physical processes.
SFA-Net: Semantic Feature Adjustment Network for Remote Sensing Image Segmentation
Authors: Hwang Gyutae , Jeong Jiwoo , Lee Sang Jun
Published: September 2024

Advances in deep learning and computer vision techniques have made impacts in the field of remote sensing, enabling efficient data analysis for applications such as land cover classification and change detection. Convolutional neural networks (CNNs) and transformer architectures have been utilized in visual perception algorithms due to their effectiveness in analyzing local features and global context. In this paper, we propose a hybrid transformer architecture that consists of a CNN-based encoder and transformer-based decoder. We propose a feature adjustment module that refines the multiscale feature maps extracted from an EfficientNet backbone network. The adjusted feature maps are integrated into the transformer-based decoder to perform the semantic segmentation of the remote sensing images. This paper refers to the proposed encoder–decoder architecture as a semantic feature adjustment network (SFA-Net). To demonstrate the effectiveness of the SFA-Net, experiments were thoroughly conducted with four public benchmark datasets, including the UAVid, ISPRS Potsdam, ISPRS Vaihingen, and LoveDA datasets. The proposed model achieved state-of-the-art accuracy on the UAVid, ISPRS Vaihingen, and LoveDA datasets for the segmentation of the remote sensing images. On the ISPRS Potsdam dataset, our method achieved comparable accuracy to the latest model while reducing the number of trainable parameters from 113.8 M to 10.7 M.
Is Chronic Pelvic Inflammatory Disease an Exclusively Medical Gynecological Disease, or It May Be a Surgical Challenge?
Authors: Dinu Mihai-Daniel , Hamoud Bashar Haj , Amza Mihaela , Sima Romina-Marina , Conea Ileana-Maria , Gorecki Gabriel-Petre , Pleș Liana
Published: September 2024

Pelvic inflammatory disease is an infectious condition affecting women’s upper genital tract, including the uterus, fallopian tubes, and ovaries. It primarily arises from an infection that spreads upward from the lower genital area. The relationship between chronic pelvic pain and coexisting conditions is a key focus in its diagnosis and treatment. This type of pain is also considered a form of reflex dystrophy, involving both neurological and psychological components, the first line treatment consists in antibiotherapy. For patients with complex or severe pelvic abscesses, surgical intervention may be considered in selected cases. The primary surgical techniques employed are open and laparoscopic surgery, both aimed for abscess removal. MRI or Doppler ultrasonography may be employed when there is a suspicion of adnexal torsion, adenomyosis or deep pelvic endometriosis, especially if the ultrasound results are unclear or inconclusive Laparoscopic surgery has increasingly become favored by both healthcare professionals and patients. Moreover, laparoscopy has emerged as the most valuable tool for diagnosing chronic pelvic pain. The approach to treating pelvic abscesses in women of reproductive age depends greatly on clinical assessments, individual patient factors, and the desire to preserve fertility. However, laparoscopy may present technical difficulties in patients with severe pelvic abscesses, particularly those with extensive adhesions or a closed-off pelvic area, requiring advanced surgical expertise. Women with associated conditions such as endometriosis often experience a more severe form of pelvic inflammatory disease, which is less responsive to antibiotics and more frequently requires surgical resolution. The surgical treatment should be performed individualized to the clinical condition of the patient and the time of intervention must be carefully chosen.
Optimal Decisions in an Authorized Remanufacturing Closed-Loop Supply Chain under Dual-Fairness Concerns
Authors: Deng Zichun , Shaharudin Mohd Rizaimy , Shariff S. Sarifah Radiah , Tseng Ming-Lang
Published: September 2024

This paper studies optimal decisions in an authorized remanufacturing closed-loop supply chain (CLSC) consisting of a manufacturer, a retailer, and an authorized third-party remanufacturer with dual-fairness concerns (distributional fairness concerns and peer-induced fairness concerns). Four Stackelberg game models are developed: (i) the dual-fairness concerns are considered by the retailer (model F); (ii) the retailer does not consider both types of fairness concerns (model N); (iii) the retailer only considers the distributional fairness concerns (model D); (iv) the retailer only considers the peer-induced fairness concerns (model P). We use numerical analysis to examine the equilibrium outcomes under dual-fairness concerns. The results show that: (1) The increase in the coefficient of peer-induced fairness concerns will result in more profit for the manufacturer in most cases, while distributional fairness concerns always hurt the manufacturer; (2) In most parameter cases, the increase in the degree of distributional fairness concerns favors the retailer. The retailer considers only peer-induced fairness concerns when the degree of distributional fairness concerns is low and the degree of peer-induced fairness concerns is relatively high, whereas in other cases, two kinds of fairness concerns are ignored; (3) Model P is the most profitable and model D is most disadvantageous for the third party, however, for the manufacturer it is the opposite; (4) The impact of fairness concerns on the environment depends on the retailer’s attitude towards fairness concerns. Model P is the best for the environment, while model D has the highest environmental impact. This study introduces dual-fairness concerns into the authorized remanufacturing CLSC model and provides theoretical references for authorized remanufacturing and sustainability practices.
After-Hours Work Challenges and Employee Creativity: A Moderated Mediation Model
Authors: Ren Fengmei , Zhou Yuerong , Song Zhigang
Published: September 2024

Based on the social exchange theory, this paper constructs a moderated mediation model to explore the influence of after-hours work challenges after-hours on employee creativity. By collecting 268 questionnaires from Chinese employees and employing hierarchical regression and bootstrapping to test the hypotheses, the results show that after-hours work challenges can enhance employee creativity by improving their perceived insider status. Servant leadership, as a moderator, strengthens both the direct effect of after-hours work challenges on perceived insider status and the indirect effect on employee creativity. This research enriches the creativity and work design literature by addressing the previously unexplored relationship between after-hours work challenges and employee creativity. The study reveals that after-hours work assigned to employees needs to be challenging so that employees can experience personal development through completing it. Additionally, leaders’ support and care during the after-hours work process are essential.
Air Pollution and Corporate Innovation: Does Top Management Quality Mediate and Government Talent Policy Moderate?
Authors: Zhu Rui , Ma Kaili , Chen Xiyu , Zhao Jingjing
Published: September 2024

Air pollution not only poses significant threats to the physical and mental well-being of individuals, but it also has the potential to trigger a regional brain drain, thus inhibiting corporate innovation performance. This study explores the impact of air pollution on corporate innovation from the perspective of top management quality. We find that lower air quality significantly reduces the quality of corporate top management, thereby reducing their innovation output. However, local government talent attention alleviates the negative impact of air pollution on corporate innovation. Further analysis reveals that the local government’s environmental attention aggravates the negative effects of air pollution on corporate innovation. Finally, executive compensation alleviates the negative impact of air pollution on corporate innovation.
Are Future Teachers Involved in Contributing to and Promoting the Reduction of Massive Waste Generation?
Authors: García-Fortes María Ángeles , Ortega-Lasuen Unai , Esteve-Guirao Patricia , Barrutia Oihana , Ruiz-Navarro Ana , Zuazagoitia Daniel , Valverde-Pérez Magdalena , Díez José Ramón , Banos-González Isabel
Published: September 2024

Massive waste generation linked to overconsumption is considered one of the most significant socio-ecological issues today, becoming a challenge for health and well-being and a barrier to achieving sustainability. Education is key to raising awareness and involving citizens in the adoption of responsible consumption habits, facilitating the recognition of the relationship between our daily activities and the production of waste. The aim of this exploratory study is to analyse the perceptions and commitments of future secondary school teachers (FTs) toward this issue and to explore the educational approaches they propose to address it in the classroom (n = 138). In this work, a mixed-methods approach was used based on quantitative and qualitative data collected through a questionnaire. The results show that FTs have difficulties in recognising the different factors involved in the problem of massive waste generation. However, they incorporate the health and ecological vision, which is close to the holistic vision of the One Health approach. The majority of them take personal responsibility for the problem, although they opt for low-effort options. Regarding the educational proposals they design, only a minority can do it following a commitment-oriented approach.
Perceived and Physical Quality of Drinking Water in Pavlodar and Akmola Rural Regions of Kazakhstan
Authors: Beisenova Raikhan , Tussupova Kamshat , Tazitdinova Rumiya , Tulegenova Symbat , Rakhymzhan Zhanar , Orkeyeva Ainur , Alkhanova Yerkenaz , Myrzagaliyeva Anar , Nugmanov Askar , Zhupysheva Aktoty
Published: September 2024

Water quality in rural areas of developing countries is a notable problem. In this article, drinking water quality from eleven villages in the Pavlodar and the Akmola region of Kazakhstan was analyzed. Questionnaires of village respondents and chemical components of drinking water were analyzed to identify the quality of drinking water. In each of the villages, the chemical content varied depending on the source of drinking water. In the rural Pavlodar region, we observed that some cations and anions exceed the MPC. Respondents’ perceptions of water quality are associated with water sources and physical components. For example, respondents’ satisfaction by inside tap of central water systems’ water was high, the answers of those whose water source was private wells showed more mixed satisfaction levels. The drinking water physical quality indicators are closely related to water mineralization and general hardness. The total microbial count of drinking water has a significant relationship with respondents’ complaints about unpleasant taste, odor, and salinity. The relationship between perceived and physical water quality is a critical aspect of water resource management. By bridging the gap between scientific assessments and public perceptions, we can enhance public health, build trust in water management systems, and promote sustainability of water use.
Development and Evaluation of an Internet of Things Project for Preservice Elementary School Teachers
Authors: Tsai Fu-Hsing
Published: September 2024

Programming education is gaining more attention in elementary schools, especially through the use of visual programming tools and development boards. However, the elementary school teacher education in Taiwan allows only limited time periods for training in visual programming and the use of development boards. Development boards are ideal for creating internet of things (IoT) projects, and project-based learning (PBL) is an effective teaching strategy in programming education to promote active learning. Therefore, to sustainably cultivate 21st-century teachers, this study developed an IoT PBL activity for preservice elementary school teachers in Taiwan, so as to improve their attitude toward programming and to enhance their content knowledge of programming teaching, including in computational thinking concepts and knowledge concerning the micro:bit and IoT. This project aimed to engage preservice elementary school teachers in using the micro:bit and electronic modules to create cardboard games with IoT features. A preliminary evaluation was conducted within a teacher education course to verify the project’s feasibility. Consequently, the preservice elementary school teachers participating in this project could develop various IoT cardboard games through teamwork. Their scores on the assessments of computational thinking concepts, development board knowledge, and attitude toward programming showed significant improvement after the project activity. They also expressed highly positive feedback on the project. These findings verify that the proposed PBL activity could be feasible for elementary teacher education.
Assessing Produce Growers’ Perceptions and Adoption of Agricultural Water Safety Practices in the United States
Authors: Kalauni Dharmendra , Warner Laura A. , Benge Matt , Danyluk Michelle D.
Published: September 2024

The Produce Rule regulates food safety among produce growers in the United States. Policy exemptions (e.g., for farms with average produce sales under USD 30,000 over three years) pose a threat to local food safety, particularly given exempt growers’ role in fresh produce production. Understanding exempt growers’ perceptions of food safety practices and the factors influencing their voluntary adoption is crucial. A cross-sectional quantitative survey was conducted to assess growers’ current engagement, their perceptions of agricultural water safety practices, and their influence on adoption decisions. The findings indicate inadequate engagement with agricultural water safety practices, with production water-related safety practices showing higher engagement compared to post-harvest water practices. Overall, growers reported favorable perceptions toward agricultural water safety practices. The perceived compatibility, relative advantage, and observability predicted adoption decisions among exempt growers, with the perceived compatibility being the strongest predictor. Policymakers and education professionals should design strategies and tailored educational interventions and messaging for exempt growers to emphasize the compatibility, relative advantage, and observability of agricultural water safety practices. Furthermore, it is recommended to explore policies and other mechanisms to increase the perceived relative advantage (immediacy of rewards and direct benefits) for exempt growers to promote voluntary adoption of these on-farm food safety practices.