bluuebunny/crossref_metadata_2025 huggingface dataset:
Human Milk Oligosaccharides and Their Pivotal Role in Gut–Brain Axis Modulation and Neurologic Development: A Narrative Review to Decipher the Multifaceted Interplay
Authors: Falsaperla Raffaele , Sortino Vincenzo , Gambilonghi Francesco , Vitaliti Giovanna , Striano Pasquale
Published: September 2024

Background: Human milk oligosaccharides (HMOs), which are unique bioactive components in human milk, are increasingly recognized for their multifaceted roles in infant health. A deeper understanding of the nexus between HMOs and the gut–brain axis can revolutionize neonatal nutrition and neurodevelopmental strategies. Methods: We performed a narrative review using PubMed, Embase, and Google Scholar to source relevant articles. The focus was on studies detailing the influence of HMOs on the gut and brain systems, especially in neonates. Articles were subsequently synthesized based on their exploration into the effects and mechanisms of HMOs on these interconnected systems. Results: HMOs significantly influence the neonatal gut–brain axis. Specific concentrations of HMO, measured 1 and 6 months after birth, would seem to agree with this hypothesis. HMOs are shown to influence gut microbiota composition and enhance neurotransmitter production, which are crucial for brain development. For instance, 2′-fucosyllactose has been demonstrated to support cognitive development by fostering beneficial gut bacteria that produce essential short-chain fatty acids. Conclusions: HMOs serve as crucial modulators of the neonatal gut–brain axis, underscoring their importance in infant nutrition and neurodevelopment. Their dual role in shaping the infant gut while influencing brain function presents them as potential game-changers in neonatal health strategies.
Development of a Nutrient Profile Model for Dishes in Japan Version 1.0: A New Step towards Addressing Public Health Nutrition Challenges
Authors: Tousen Yuko , Takebayashi Jun , Okada Chika , Suzuki Mariko , Yasudomi Ai , Yoshita Katsushi , Ishimi Yoshiko , Takimoto Hidemi
Published: September 2024

To address the rising incidence of non-communicable diseases (NCDs) and promote healthier eating habits, Japan requires a culturally tailored Nutrient Profile Model. This study aimed to develop a Nutrient Profile Model for Dishes in Japan version 1.0 (NPM-DJ (1.0)) that corresponds to the nutritional issues and food culture in Japan. The aim of the NPM-DJ (1.0) was to promote the health of the general population, and to prevent the increase in NCDs in Japan. The NPM-DJ (1.0) categorizes dishes into staples, sides, mains, mixed dishes, and mixed dishes with staples. The model evaluates dishes based on energy, saturated fats, sugars, and sodium as restricted nutrients, while considering protein, dietary fiber, and the weight of certain food groups as recommended nutrients. The distribution of the overall score for each dish category was analyzed and a rating algorithm was created. The baseline, modification points, and final scores were significantly lower for side dishes than for staple dishes. In contrast, the baseline points and final scores were significantly higher for mixed dishes with staple. The model effectively differentiated nutritional profiles across five dishes categories, which may promote healthier dish reformulation by food businesses operators and encourage consumers to select healthier dishes.
A Novel Interaction between a 23-SNP Genetic Risk Score and Monounsaturated Fatty Acid Intake on HbA1c Levels in Southeast Asian Women
Authors: Sekar Padmini , Aji Arif S. , Ariyasra Utami , Sari Sri R. , Tasrif Nabila , Yani Finny F. , Lovegrove Julie A. , Sudji Ikhwan R. , Lipoeto Nur I. , Vimaleswaran Karani S.
Published: September 2024

Metabolic diseases result from interactions between genetic and lifestyle factors. Understanding the combined influences of single-nucleotide polymorphisms (SNPs) and lifestyle is crucial. This study employs genetic risk scores (GRS) to assess SNPs, providing insight beyond single gene/SNP studies by revealing synergistic effects. Here, we aim to investigate the association of a 23-SNP GRS with metabolic disease-related traits (obesity and type 2 diabetes) to understand if these associations are altered by lifestyle/dietary factors. For this study, 106 Minangkabau women were included and underwent physical, anthropometric, biochemical, dietary and genetic evaluations. The interaction of GRS with lifestyle factors was analyzed using linear regression models, adjusting for potential confounders. No statistically significant associations were observed between GRS and metabolic traits; however, this study demonstrates a novel interaction observed between 13-SNP GRS and monounsaturated fatty acid (MUFA) intake, and that it had an effect on HbA1c levels (p = 0.026). Minangkabau women with low MUFA intake (≤7.0 g/day) and >13 risk alleles had significantly higher HbA1c levels (p = 0.010). This finding has implications for public health, suggesting the need for large-scale studies to confirm our results before implementing dietary interventions in the Indonesian population. Identifying genetic influences on dietary response can inform personalized nutrition strategies to reduce the risk of metabolic disease.
Folic Acid and Selected Risk Factors for Fetal Heart Defects—Preliminary Study Results
Authors: Kolmaga Agnieszka , Trafalska Elżbieta , Gaszyńska Ewelina , Murlewska Julia , Witkowski Sławomir , Sylwestrzak Oskar , Sokołowski Łukasz , Respondek-Liberska Maria , Strzelecka Iwona
Published: September 2024

Background: The available data on the relationship between diet/folic acid and congenital heart disease (CHD) are not consistent. This study aimed to investigate the relationship between the intake and supplementation of folic acid and other selected factors in mothers and the risk of congenital heart defects in fetuses. Methods: A case–control study was conducted. The study group included pregnant women with fetuses from singleton pregnancies with prenatally diagnosed heart defects in the fetus (n = 79) and pregnant women whose course of pregnancy was normal with no heart defects or other developmental anomalies diagnosed in the fetus (n = 121). The patients were diagnosed at a reference center in Poland. The women completed a lifestyle questionnaire and FFQ and precisely described their use of dietary supplements. A univariate logistic regression model was used to evaluate the association between folic acid and selected risk factors and CHD. The association was significant and included such risk factors such as nutritional status, medications taken, smoking, and alcohol consumption. Additionally, the time of starting folic acid supplementation turned out to be statistically significant. The reference period of supplementation was the period before pregnancy. Results: Lack of supplementation increases the risk of heart defects in children by more than four times compared to supplementation before pregnancy (OR = 4.19; p = 0.0117), whereas supplementation beyond the eighth week of gestation increases the risk almost threefold (OR = 2.90; p = 0.0474). The presence of congenital defects in the family is also an important factor. Conclusions: A history of congenital heart defects or other defects, lack of periconceptional folic acid supplementation, and lack of dietary supplementation before pregnancy were associated with congenital heart defects in the fetus. Place of residence, parents’ education, lifestyle habits such as smoking and alcohol consumption, nutritional status before pregnancy, and mother’s diseases did not show a significant relationship with congenital heart defects in the children. There is an urgent need to develop preventive strategies and conduct extensive public education.
Biologics in Systemic Lupus Erythematosus: Recent Evolutions and Benefits
Authors: Kundnani Nilima Rajpal , Levai Mihaela Codrina , Popa Mihaela-Diana , Borza Claudia , Iacob Mihai , Mederle Alexandra Laura , Blidisel Alexandru
Published: September 2024

Introduction: Systemic lupus erythematosus (SLE) is a multifaceted autoimmune disorder characterized by significant autoantibodies, particularly targeting nuclear antigens. SLE pathogenesis involves genetic, environmental, and hormonal factors. The disease course includes flares and remission and involves various organs. Recent therapeutic progresses, including biologics, have improved management and prognosis, though the long-term impact of novel therapies remains to be determined. Biologics in SLE: Rituximab, the earliest B-cell-oriented biologic, binds CD20 and depletes CD20+ B cells, leading to remission in some SLE patients. Belimumab is a B-cell-activating factor (BAFF) inhibitor with a recent additional indication for lupus nephritis. The CALIBRATE and BLISS-BELIEVE studies investigated combinations of these drugs with conventional therapies, showing varied efficacy. Ocrelizumab and obinutuzumab, newer CD20-oriented SLE therapies, together with ofatumumab and veltuzumab, are also promising. The latest trials highlight their efficacy and safety. Anifrolumab, targeting type-I interferon receptors, was evaluated in the TULIP 1/2 trials. The ongoing TULIP LTE trial supports the long-term safety and efficacy of anifrolumab. Additionally, the IRIS Phase III trial is exploring anifrolumab for lupus nephritis, showing favorable renal responses. Tocilizumab and secukinumab are being assessed for SLE, with mixed outcomes. Several biologics targeting the C5 complement protein, together with immunomodulators and immunotherapeutics, are also under investigation for potential benefits in SLE. Discussion: Biologics in SLE target specific immune components, aiming to improve disease control and reduce the side effects of conventional therapy. However, trial outcomes vary due to factors like inclusion criteria and trial design. Conclusions: Biotechnology progress enables targeted biologic therapies for SLE, reducing disease activity and improving patients’ quality of life.
Auraptene Boosts the Efficacy of the Tamoxifen Metabolites Endoxifen and 4-OH-Tamoxifen in a Chemoresistant ER+ Breast Cancer Model
Authors: Pulido-Capiz Angel , Chimal-Vega Brenda , Avila-Barrientos Luis Pablo , Campos-Valenzuela Alondra , Díaz-Molina Raúl , Muñiz-Salazar Raquel , Galindo-Hernández Octavio , García-González Victor
Published: September 2024

Approximately 80% of breast cancer (BC) cases are estrogen receptor positive (ER+) and sensitive to hormone treatment; Tamoxifen is a prodrug, and its main plasmatic active metabolites are 4-hydroxytamoxifen (4-OH Tam) and endoxifen. Despite the effectiveness of tamoxifen therapy, resistance can be developed. An increment in eukaryotic initiation factor-4A complex (eIF4A) activity can result in tamoxifen-resistant tumor cells. For this work, we developed a cell variant resistant to 4-OH Tam and endoxifen, denominated MCF-7Var E; then, the aim of this research was to reverse the acquired resistance of this variant to tamoxifen metabolites by incorporating the natural compound auraptene. Combination treatments of tamoxifen derivatives and auraptene successfully sensitized the chemoresistant MCF-7Var E. Our data suggest a dual regulation of eIF4A and ER by auraptene. Joint treatments of 4-OH Tam and endoxifen with auraptene identified a novel focus for chemoresistance disruption. Synergy was observed using the auraptene molecule and tamoxifen-derived metabolites, which induced a sensitization in MCF-7Var E cells and ERα parental cells that was not observed in triple-negative breast cancer cells (TNBC). Our results suggest a synergistic effect between auraptene and tamoxifen metabolites in a resistant ER+ breast cancer model, which could represent the first step to achieving a pharmacologic strategy.
The Synergistic Effect of CeO2 and Micron-Cu Enhances the Hydrogenation of CO2 to CO
Authors: Lu Bowen , Sang Huiying , Liu Liang , Yu Zhijian , Guo Yaqin , Xu Yongqing
Published: September 2024

The catalytic applications of micron Cu powder are limited due to its large particle size and small specific surface area. Modifying micro-Cu powder to achieve a high catalytic performance is a challenge in the application of micron copper. In this work, micro-Cu was used to synthesize a CeO2–Cu catalyst, and the phase composition and surface pore structure were analyzed using XRD, BET, etc. The CO2 hydrogenation performance of the CeO2–Cu catalyst was analyzed in comparison with CeO2 and Cu, and we found that the CeO2–Cu catalyst exhibited a synergistic effect between Cu and cerium, resulting in a much higher hydrogenation performance at 500 °C than CeO2 or Cu alone. H2-TPR and TEM characterization revealed that the CeO2–Cu catalyst formed interfacial interactions with a relatively large Ce–Cu interface, where cerium oxide could promote the reduction of CuO and lower the reduction temperature. Additionally, cerium oxide formed a confinement structure for Cu, and the CeO2–Cu catalyst exhibited a higher oxygen vacancy concentration, thereby promoting the CO2 hydrogenation performance. Cu–CeO2 interaction provides valuable insights into the catalytic application of micron Cu powder.
The Addition of Concentrated Cold-Pressed Guabiroba Juice to Yogurts: Effects on the Physicochemical Analyses, Antioxidant Activity, Carotenoid Content, Total Phenolic Compounds, and Mineral Profile
Authors: Prestes Amanda Alves , Andrade Dayanne Regina Mendes , Canella Maria Helena Machado , Haas Isabel Cristina da Silva , Helm Cristiane Vieira , de Gois Jefferson Santos , Block Jane Mara , Wanderley Bruna Rafaela da Silva Monteiro , Amboni Renata Dias de Mello Castanho , Cruz Adriano Gomes da , Pimentel Tatiana Colombo , Prudencio Elane Schwinden
Published: September 2024

Cold-pressed guabiroba juice was subjected to block freeze concentration. The best process efficiency (PE) was obtained for the first stage of freeze concentration compared to the second stage (C2; 57.47%). Yogurt formulations were carried out with the concentrated juice from stage 1 (C1) (0, 10% (I10), and 15% (I15)). For all concentrated juices (C1 and C2), ice fractions from the first and second stages (I1 and I2), and yogurts (control, I10, and I15), physicochemical analyses were performed and antioxidant activity, carotenoid content, total phenolic content (TPC), and mineral profile were determined. Total soluble solids contents for the concentrated juices increased by 1.56 to 2 times compared to the cold-pressed guabiroba juice. Furthermore, an increase in TPC and carotenoids was observed. For the I15 sample, TPC increased by 4,556%, with the control and increased carotenoids, vitamin C, and mineral profiles (Ca, K, Mg, and Na) contributing to increased antioxidant activity. The addition of concentrated guabiroba juice to yogurt formulations enhances the functional property of this dairy product by maintaining most of the bioactive compounds during cold-pressing associated with the freeze concentration.
Prediction of Air Purifier Effectiveness for Eliminating Exhaled Droplets in a Confined Room
Authors: Zhao Yumeng , Russell Alexander , Ambrose Kingsly , Wassgren Carl R.
Published: September 2024

High-efficiency particulate air (HEPA) filter purifiers are a recommended method for eliminating respiratory airborne droplets. In this study, the movement of airborne droplets exhaled by occupants in an unventilated, two-bed dormitory room with an air purifier was simulated using computational fluid dynamics. The air was modeled using an Eulerian scheme while the droplets were modeled using a Lagrangian method. The airborne droplet number, the rate at which droplets are removed, and the rate at which droplets accumulate were calculated. A larger HEPA flow rate increased the droplet removal efficiency, with most of the droplets settling on boundary surfaces. Of particular note, the air purifier location within the room had a significant impact on reducing the droplet exchange between two occupants and improving the droplet elimination efficiency.
Structural Analysis of Octagonal Nanotubes via Double Edge-Resolving Partitions
Authors: Alali Amal S. , Ali Sikander , Jamil Muhammad Kamran
Published: September 2024

In materials science, the open nanotube derived from an octagonal grid is one of the most important and extensively researched compounds. Finding strategies for representing a variety of chemical compounds so that different compounds can have different representations is necessary for the investigation of chemical structures. In this work, the double edge-based resolving partition is discussed and the exchange property applied. Let Q1 and Q2 be two edge-resolving partition sets and Q1≠Q2, such that Q1∩Q2≠0. This shows that this structure has exchange property for edge partition. The exchange property in edge partitions is a novel work. It is introduced in this paper. The application of this work is to transform projects or objects to better places. The resolvability of these compounds is studied to gain an understanding of the chemical composition of the compounds. We perform this by using the terms vertex and edge-based distance and edge-resolving sets of graphs.
The Valorization of Fruit and Vegetable Wastes Using an Anaerobic Fixed Biofilm Reactor: A Case of Discarded Tomatoes from a Traditional Market
Authors: Alvarado-Vallejo Andrea , Marín-Peña Oscar , Rosas-Mendoza Erik Samuel , Méndez-Contreras Juan Manuel , Alvarado-Lassman Alejandro
Published: September 2024

Tomato waste, characterized by high organic matter and moisture content, offers a promising substrate for anaerobic digestion, though rapid acidification can inhibit methanogenic activity. This study investigated the performance of a 10.25 L anaerobic fixed biofilm reactor for biogas production using liquid tomato waste, processed through grinding and filtration, at high organic loading rates, without external pH control or co-digestion. Four scouring pads were vertically installed as a fixed bed within a fiberglass structure. Reactor performance and buffering capacity were assessed over three stages with progressively increasing organic loading rates (3.2, 4.35, and 6.26 gCOD/L·d). Methane yields of 0.419 LCH4/gCOD and 0.563 LCH4/g VS were achieved during the kinetic study following stabilization. Biogas production rates reached 1586 mL/h, 1804 mL/h, and 4117 mL/h across the three stages, with methane contents of 69%, 65%, and 72.3%, respectively. Partial alkalinity fluctuated, starting above 1500 mg CaCO3/L in Stage 1, dropping below 500 mg CaCO3/L in Stage 2, and surpassing 3000 mg CaCO3/L in Stage 3. Despite periods of forced acidification, the system demonstrated significant resilience and high buffering capacity, maintaining stability through hydraulic retention time adjustments without the need for external pH regulation. The key stability indicators identified include partial alkalinity, effluent chemical oxygen demand, pH, and one-day cumulative biogas. This study highlights the effectiveness of anaerobic fixed biofilm reactors in treating tomato waste and similar fruit and vegetable residues for sustainable biogas production.
Cervical Margin Relocation: Effect of Crown, Endocrown and Onlay Margin Location and Material Type on the Fracture Resistance of Endodontically Treated Molars
Authors: Diaa Mohamed , Al-Zordk Walid , Ozcan Mutlu , Sakrana Amal
Published: September 2024

This study aimed to evaluate the fracture resistance of endodontically treated molars restored with ceramic indirect restorations with and without cervical margin relocation. A total of 120 extracted human maxillary molars were used after MOD cavities preparations with the mesial boxes located 2 mm below CEJ. Specimens were randomly assigned to six groups according to the margin location of each indirect restoration type (n = 20); crown without CMR, crown with CMR, endocrown without CMR, endocrown with CMR, onlay without CMR, and onlay with CMR. Mesial proximal boxes of the MOD cavities were elevated with composite resin in cervical margin relocation groups. Each group was further divided according to indirect restoration material (n = 10); CEREC Tessera and Celtra Press. The specimens were subjected to fracture resistance testing in a universal testing machine. Fracture analysis was performed using stereo and scanning electron microscopes. Data were analyzed by using 3-way ANOVA, 1-way ANOVA and the Tukey HSD tests (α = 0.05). The mean fracture resistance values ranged between 2136.57 and 950.47 N. Significantly higher values were detected among Celtra Press than Cerec Tessera in crown restorations. Unrestorable fracture patterns were seen through all study groups. Crown restorations represented the best restorative option in terms of fracture resistance. Cervical margin relocation adversely affected fracture resistance. However, the material of the indirect restorations had no significant impact on fracture resistance.
Three Decades of Inundation Dynamics in an Australian Dryland Wetland: An Eco-Hydrological Perspective
Authors: Senanayake Indishe P. , Yeo In-Young , Kuczera George A.
Published: September 2024

Wetland ecosystems are experiencing rapid degradation due to human activities, particularly the diversion of natural flows for various purposes, leading to significant alterations in wetland hydrology and their ecological functions. However, understanding and quantifying these eco-hydrological changes, especially concerning inundation dynamics, presents a formidable challenge due to the lack of long-term, observation-based spatiotemporal inundation information. In this study, we classified wetland areas into ten equal-interval classes based on inundation probability derived from a dense, 30-year time series of Landsat-based inundation maps over an Australian dryland riparian wetland, Macquarie Marshes. These maps were then compared with three simplified vegetation patches in the area: river red gum forest, river red gum woodland, and shrubland. Our findings reveal a higher inundation probability over a small area covered by river red gum forest, exhibiting persistent inundation over time. In contrast, river red gum woodland and shrubland areas show fluctuating inundation patterns. When comparing percentage inundation with the Normalized Difference Vegetation Index (NDVI), we observed a notable agreement in peaks, with a lag time in NDVI response. A strong correlation between NDVI and the percentage of inundated area was found in the river red gum woodland patch. During dry, wet, and intermediate years, the shrubland patch consistently demonstrated similar inundation probabilities, while river red gum patches exhibited variable probabilities. During drying events, the shrubland patch dried faster, likely due to higher evaporation rates driven by exposure to solar radiation. However, long-term inundation probability exhibited agreement with the SAGA wetness index, highlighting the influence of topography on inundation probability. These findings provide crucial insights into the complex interactions between hydrological processes and vegetation dynamics in wetland ecosystems, underscoring the need for comprehensive monitoring and management strategies to mitigate degradation and preserve these vital ecosystems.
Spatial–Temporal Variations in the Climate, Net Ecosystem Productivity, and Efficiency of Water and Carbon Use in the Middle Reaches of the Yellow River
Authors: Hou Xiao , Zhang Bo , He Qian-Qian , Shao Zhuan-Ling , Yu Hui , Zhang Xue-Ying
Published: September 2024

An accurate assessment of the spatial–temporal variations in regional net ecosystem productivity (NEP), water use efficiency (WUE), and carbon use efficiency (CUE) are vital for understanding the water–carbon cycle. We analyzed the spatial–temporal patterns of the NEP, WUE, and CUE in the middle reaches of the Yellow River (MRYR) from 2001 to 2022, and the factors that influenced them using remote sensing data, NEP estimation models, and various statistical methods. The results indicate that the recovery of the ecosystem in the MRYR is a result of the combined effects of climate change and human activities. Climate change in the MRYR led to warming and humidification from 2001 to 2022. The NEP, WUE, and CUE were characterized by increasing trends, with average growth rates of 7.75 gC m−2a−1, 0.012 gC m−2 mm−1a−1, and 0.009a−1, respectively. For four vegetation types, the interannual rates of change were, in descending order, grassland, cropland, shrubs, and forest. Spatially, the NEP, WUE, and CUE showed significant regional heterogeneity, increasing from the northwest to the southeast. Based on an analysis of the interannual anomalies, precipitation accumulation contributed to carbon sink accumulation. The correlation of the NEP, WUE, and CUE with the drought severity index (DSI) was high, and their correlation with precipitation showed latitudinal zonality, which suggests that precipitation (PRE) is the main climatic factor influencing the water–carbon cycle in the MRYR rather than temperature (TEM). There were 67,671.27 km2 of land that changed use during 2001–2022, and 15.07 Tg of NEP was added to these areas.
Assessing Data Preparation and Machine Learning for Tree Species Classification Using Hyperspectral Imagery
Authors: Ni-Meister Wenge , Albanese Anthony , Lingo Francesca
Published: September 2024

Tree species classification using hyperspectral imagery shows incredible promise in developing a large-scale, high-resolution model for identifying tree species, providing unprecedented details on global tree species distribution. Many questions remain unanswered about the best practices for creating a global, general hyperspectral tree species classification model. This study aims to address three key issues in creating a hyperspectral species classification model. We assessed the effectiveness of three data-labeling methods to create training data, three data-splitting methods for training/validation/testing, and machine-learning and deep-learning (including semi-supervised deep-learning) models for tree species classification using hyperspectral imagery at National Ecological Observatory Network (NEON) Sites. Our analysis revealed that the existing data-labeling method using the field vegetation structure survey performed reasonably well. The random tree data-splitting technique was the most efficient method for both intra-site and inter-site classifications to overcome the impact of spatial autocorrelation to avoid the potential to create a locally overfit model. Deep learning consistently outperformed random forest classification; both semi-supervised and supervised deep-learning models displayed the most promising results in creating a general taxa-classification model. This work has demonstrated the possibility of developing tree-classification models that can identify tree species from outside their training area and that semi-supervised deep learning may potentially utilize the untapped terabytes of unlabeled forest imagery.
Liaohe Oilfield Reservoir Parameters Inversion Based on Composite Dislocation Model Utilizing Two-Dimensional Time-Series InSAR Observations
Authors: Jiang Hang , Zhang Rui , Zhang Bo , Chen Kangyi , Liu Anmengyun , Wang Ting , Yu Bing , Deng Lin
Published: September 2024

To address the industry’s demand for sustainable oilfield development and safe production, it is crucial to enhance the scientific rigor and accuracy of monitoring ground stability and reservoir parameter inversion. For the above purposes, this paper proposes a technical solution that employs two-dimensional time-series ground deformation monitoring based on ascending and descending Interferometric Synthetic Aperture Radar (InSAR) technique first, and the composite dislocation model (CDM) is utilized to achieve high-precision reservoir parameter inversion. To validate the feasibility of this method, the Liaohe Oilfield is selected as a typical study area, and the Sentinel-1 ascending and descending Synthetic Aperture Radar (SAR) images obtained from January 2020 to December 2023 are utilized to acquire the ground deformation in various line of sight (LOS) directions based on Multitemporal Interferometric Synthetic Aperture Radar (MT-InSAR). Subsequently, by integrating the ascending and descending MT-InSAR observations, we solved for two-dimensional ground deformation, deriving a time series of vertical and east-west deformations. Furthermore, reservoir parameter inversion and modeling in the subsidence trough area were conducted using the CDM and nonlinear Bayesian inversion method. The experimental results indicate the presence of uneven subsidence troughs in the Shuguang and Huanxiling oilfields within the study area, with a continuous subsidence trend observed in recent years. Among them, the subsidence of the Shuguang oilfield is more significant and shows prominent characteristics of single-source center subsidence accompanied by centripetal horizontal displacement, the maximum vertical subsidence rate reaches 221 mm/yr, and the maximum eastward and westward deformation is more than 90 mm/yr. Supported by the two-dimensional deformation field, we conducted a comparative analysis between the Mogi, Ellipsoidal, and Okada models in terms of reservoir parameter inversion, model fitting efficacy, and residual distribution. The results confirmed that the CDM offers the best adaptability and highest accuracy in reservoir parameter inversion. The proposed technical methods and experimental results can provide valuable references for scientific planning and production safety assurance in related oilfields.
Multi-Objective Optimization of Orchestra Scheduler for Traffic-Aware Networks
Authors: Panda Niharika , Muthuraman Supriya , Elsts Atis
Published: September 2024

The Internet of Things (IoT) presents immense opportunities for driving Industry 4.0 forward. However, in scenarios involving networked control automation, ensuring high reliability and predictable latency is vital for timely responses. To meet these demands, the contemporary wireless protocol time-slotted channel hopping (TSCH), also referred to as IEEE 802.15.4-2015, relies on precise transmission schedules to prevent collisions and achieve consistent end-to-end traffic flow. In the realm of diverse IoT applications, this study introduces a new traffic-aware autonomous multi-objective scheduling function called OPTIMAOrchestra. This function integrates slotframe and channel management, adapts to varying network sizes, supports mobility, and reduces collision risks. The effectiveness of two versions of OPTIMAOrchestra is extensively evaluated through multi-run experiments, each spanning up to 3600 s. It involves networks ranging from small-scale setups to large-scale deployments with 111 nodes. Homogeneous and heterogeneous network topologies are considered in static and mobile environments, where the nodes within a network send packets to the server with the same and different application packet intervals. The results demonstrate that OPTIMAOrchestra_ch4 achieves a current consumption of 0.72 mA while maintaining 100% reliability and 0.86 mA with a 100% packet delivery ratio in static networks. Both proposed Orchestra variants in mobile networks achieve 100% reliability, with current consumption recorded at 6.36 mA. Minimum latencies of 0.073 and 0.02 s are observed in static and mobile environments, respectively. On average, a collision rate of 5% is recorded for TSCH and RPL communication, with a minimum of 0% collision rate observed in the TSCH broadcast in mobile networks. Overall, the proposed OPTIMAOrchestra scheduler outperforms existing schedulers regarding network efficiency, time, and usability, significantly improving reliability while maintaining a balanced latency–energy trade-off.
Traditional Villages’ Cultural Tourism Spatial Quality Evaluation
Authors: Li Qin , Lv Shuangning , Chen Zonghao , Cui Jingya , Li Wenlong , Liu Yijun
Published: September 2024

In recent years, traditional villages have vigorously developed as a phenomenon of the cultural tourism industry. In order to cope with the rapid development of the industry and changes in market demand, cultural tourism spaces urgently need to improve in quality, highlight cultural characteristics, and enhance cultural expressions. In the current tourism evaluation system, although it covers many dimensions such as environmental evaluation, sustainability evaluation, farmers’ participation, and adaptability evaluation, there is relatively little evaluation of the key element of spatial quality. Based on scene theory, this paper establishes a traditional village cultural tourism space quality evaluation system with the three main dimensions of authenticity, theatricality, and legitimacy, and fifteen sub-dimensions by drawing on the relevant theories of cultural tourism space evaluation. Then, the evaluation system is applied to three traditional villages in the suburbs of Beijing, China, for practice and verification. The study concludes that the authenticity of traditional villages is the core source of competitiveness of the cultural tourism industry; the excavation of non-heritage values should be strengthened; the spatial theatricality should be innovatively designed and planned to enhance the cultural experience; and legitimacy needs to be combined with renovation and operation to establish a mechanism for consultation and promote sustainable development. This paper hopes to enhance the scene benefit of traditional village cultural tourism spaces through the scene-theory-oriented space quality evaluation system, and deepen the understanding of rural space so as to provide relevant designers with more comprehensive design ideas to guide actual rural cultural tourism space design. At the same time, this article puts forward proposals such as strengthening the protection of intangible cultural heritage, innovating spatial experiences, and building a mechanism for consultation. The purpose is to accurately guide the optimisation of traditional village cultural tourism spaces, promote the improvement in spatial quality and the sustainable development of the cultural tourism industry, and contribute to rural revitalisation and cultural heritage.
Students’ Instructional Delivery Approach Preference for Sustainable Learning Amidst the Emergence of Hybrid Teaching Post-Pandemic
Authors: Garba Sani Alhaji , Abdulhamid Lawan
Published: September 2024

Upon return to campus after the pandemic, students were subjected to receiving lectures online, in class, or by the emerging hybrid approaches. This study reports students’ preference over the three approaches based on the experience gained during the 2022/23 academic session. The study aimed to understand the post-pandemic considerations/factors likely to influence students’ preferences for or against any of the three modes (based on their experiences with each), and implications for developing university sustainability frameworks in the post-pandemic era. One hundred and twenty-seven (127) on-campus Education students in one public university in Malaysia participated in the study. Data were collected through an online forum and interviews with the participants. The data collected were analyzed using content and thematic analysis. Preference for the hybrid approach emerged as a key finding for this study. Additionally, a perceived lack of Faculty engagement and support in the online learning environment, and on-campus learner-environment challenges were identified as factors contributing to the decreased popularity of the online-only class option in the post-pandemic era. Conversely, students’ engagement through faculty presence and technology innovation in class and online emerged as factors that made the hybrid approach the most popular. What the students valued the most in the hybrid approach is the face-to-face interaction that is retained, and the in-class faculty’s innovative use of technology in content delivery, which they believed made learning more effective and interesting in class than online. These findings imply that institutions should prioritize technology integration into face-to-face instruction, leveraging innovative approaches to enhance student engagement and sustainable learning outcomes.
The Evolution and Sustainability of Environmental Health Services in the Azraq Refugee Camp, Jordan: A Qualitative Study
Authors: Behnke Nikki , Shackelford Brandie Banner , Dawood Amjad , Oommen Rachel A. , Tu Raymond , Snel Marielle , Al Samawi Iyad , Talozi Samer , Anderson Darcy , Cronk Ryan , Bartram Jamie
Published: September 2024

The Syrian civil war displaced more than half of the Syrian population, including over 660,000 registered refugees who fled to neighboring Jordan. Environmental health services (e.g., water, sanitation, hygiene, and solid waste management) are critical for refugee health. Still, they may strain resources in host communities and must evolve in protracted crises. We studied environmental health services in the Azraq refugee camp in Jordan to identify the stakeholders and their roles in service provision, assess stakeholder communication and coordination, and evaluate sustainability. We conducted 25 interviews with stakeholders involved in environmental health service provision. We found that non-governmental and United Nations organizations had well-defined responsibilities, but the roles of donors, the Jordanian government, refugees, and the host community needed clarification. Conflicting standards and mismatched donor expectations with on-the-ground needs sometimes created challenges for coordinated and efficient service provision. The basic needs of refugees were generally met and services improved somewhat over time, but political obstacles and inadequate resources complicated the path toward sustainable services. Early incorporation of sustainability in planning and increased efforts to build the capacity of refugees to contribute and take ownership of environmental health services will likely enhance long-term environmental health service provision and development outcomes.
Toward a Sustainable Surimi Industry: Comprehensive Review and Future Research Directions of Demersal Fish Stock Assessment Techniques
Authors: Nugroho Kuncoro Catur , Zulbainarni Nimmi , Asikin Zenal , Budijanto Slamet , Marimin Marimin
Published: September 2024

The surimi industry faces challenges due to the overexploitation of demersal fishes, requiring precise fish stock assessments and the exploration of alternative raw materials. Research in these areas is crucial for fish sustainability. Thus, the current study aims to identify the existing knowledge covering the use of the length-based spawning potential ratio (LB-SPR) as a fish stock assessment method and to fill the gap in the research by consolidating relevant literature through a PRISMA SLR, using qualitative and quantitative data. The findings indicate that the LB-SPR method, while effective, needs to be utilized more in the surimi industry. This review highlights the need for precise stock assessments, historical data collection, and advanced sampling technologies, which are crucial for accurate data collection to conduct LB-SPR studies to assess fish stocks. Our study finds that significant research gaps include the need for more empirical studies on reproductive biology and the crucial role of interdisciplinary research in enhancing the long-term viability of fish stocks and the health of marine ecosystems.
Research on Wind Environment Simulation in Five Types of “Gray Spaces” in Traditional Jiangnan Gardens, China
Authors: Chen Huishu , Tan Zheng , Sun Piman
Published: September 2024

“Gray space”, also known as transitional space, focuses on the connection and transition between indoor and outdoor spaces in architecture. With its unique diversity of forms and functional inclusiveness, gray space reasonably integrates architectural spaces’ hierarchical construction with innovative ecological energy-saving concepts. Existing research mainly analyzes and interprets the design techniques of gray space from a visual perception perspective but needs more analysis of classification and design interpretation of the gray spaces in traditional gardens based on climate adaptability. This paper studied the gray spaces in traditional Jiangnan gardens, summarizing five common types of gray space in architectural spaces and their responses to the climate. Subsequently, we selected a typical representative for each of the five types of spaces and used “height-to-depth ratio (HDR), open space ratio (OSR), and direction (DIR)” as variables to conduct wind environment simulations. The simulation results help to determine the optimal climate adaptability scheme for each type of space. Through this research on the gray spaces of traditional gardens, we aimed to contribute to the conservation and utilization of classical gardens from an ecological energy-saving perspective and also provide ideas for passive energy-saving design in small public spaces and garden landscape spaces.
“We Don’t Always Have to Be Talking about It”: Moral Reasoning in US Early Childhood Education for Sustainable Development
Authors: Audley Shannon , Ginsburg Julia L. , Furlong Cami
Published: September 2024

The climate crisis is both an environmental and moral issue. The United Nations’ (UN) Sustainable Development Goals (SDGs) provide a framework for a global response to systematically challenge the world’s reactions to the climate crisis, making sustainable education for all a priority. For such sustainability education to be effective, it should engage children in early childhood in, about, and for the environment, emphasizing the moral ramifications of climate equity and justice. We investigated in what ways 19 United States (US) nature-based early childhood educators focused their sustainability education (ECEfS) in, about, and for the environment. The types of activities that engaged about and for experiences were related to the moral principles of welfare, harm reduction, resource allocation, and equality, as well as teachers’ reasoning about these experiences with children. Our findings suggest that educators’ curricula and activities reflect potential moral issues related to sustainable development. However, educators did not engage children in moral reasoning about these issues. A possible explanation is US teachers’ beliefs about developmental practice and children’s capabilities leading them to rarely engage in moral reasoning about sustainability issues instead of scaffolding children to develop personal psychological resources, thereby supporting the SDG for sustainable education.
Bergamot Pomace Flour: From Byproduct to Bioactive Ingredient for Pasta Production
Authors: Gattuso Antonio , De Bruno Alessandra , Piscopo Amalia , Santacaterina Simone , Frutos Maria Josè , Poiana Marco
Published: September 2024

Contemporary consumers demonstrate an increasing preference for foods formulated with sustainable ingredients and health-promoting benefits. In this study, both demands were addressed by formulating enriched pasta using by-products derived from the processing of bergamot, a typical Calabrian citrus fruit. Wheat flour was replaced with different percentages of exhausted bergamot pomace flour (BPF: 1.5%, 2.5%, and 5%). The results indicated that bergamot pomace is a source of various phytochemical compounds, such as minerals, fibers, and polyphenols, which are beneficial to human health. The enriched pasta samples showed a significant increase in antioxidant properties, measured as a total polyphenol and flavonoid content and through chromatographic analysis. From the latter, it emerged that phenolic compounds, particularly flavonoids, were resistant to cooking. The best qualitative characteristics were shown by the sample formulated with 2.5% BPF, as also confirmed by the sensory analysis; indeed, sample C exhibited a similar level of acceptability to the control sample (A) in terms of general acceptability by the panelists. Hence, BPF can be considered as a functional ingredient for the formulation of pasta, enhancing the product’s functionality, or as an addition as flour in gluten-free products.
Evaluating Sustainable Digitalization: A Carbon-Aware Framework for Enhancing Eco-Friendly Business Process Reengineering
Authors: Vergallo Roberto , D’Alò Teodoro , Mainetti Luca , Paiano Roberto , Matino Sara
Published: September 2024

In an era where sustainability is paramount, understanding the environmental impact of digitalizing business processes is critical. Despite the growing emphasis on sustainable practices, there is a lack of comprehensive methodologies to evaluate how digitalization impacts environmental sustainability compared to traditional processes. This paper introduces a carbon-aware methodological framework specifically designed to assess the sustainability of business process reengineering through digitalization. The Digital Green framework quantitatively analyzes the environmental costs associated with digital transformation, ensuring that truly sustainable digitalization results in lower resource consumption relative to the complexity of the process being digitalized. To demonstrate its effectiveness, the framework was applied to a case study involving the reengineering of an administrative process at a small university in southern Italy. The case study highlighted the framework’s ability to quantify the environmental benefits or detriments of digital transformation, thus guiding organizations toward more sustainable digital practices. This research contributes to the field by offering a concrete tool for aligning digitalization efforts with ecological sustainability, and by paving the way for integration with initiatives such as the Green Software Foundation’s Software Carbon Intensity (SCI) specifications.
Integrability of the Multi-Species Asymmetric Simple Exclusion Processes with Long-Range Jumps on Z
Authors: Lee Eunghyun
Published: September 2024

Let us consider a two-sided multi-species stochastic particle model with finitely many particles on Z, defined as follows. Suppose that each particle is labelled by a positive integer l, and waits a random time exponentially distributed with rate 1. It then chooses the right direction to jump with probability p, or the left direction with probability q=1−p. If the particle chooses the right direction, it jumps to the nearest site occupied by a particle l′<l (with the convention that an empty site is considered as a particle with labelled 0). If the particle chooses the left direction, it jumps to the next site on the left only if that site is either empty or occupied by a particle l′<l, and in the latter case, particles l and l′ swap their positions. We show that this model is integrable, and provide the exact formula of the transition probability using the Bethe ansatz.
The BiCG Algorithm for Solving the Minimal Frobenius Norm Solution of Generalized Sylvester Tensor Equation over the Quaternions
Authors: Xie Mengyan , Wang Qing-Wen , Zhang Yang
Published: September 2024

In this paper, we develop an effective iterative algorithm to solve a generalized Sylvester tensor equation over quaternions which includes several well-studied matrix/tensor equations as special cases. We discuss the convergence of this algorithm within a finite number of iterations, assuming negligible round-off errors for any initial tensor. Moreover, we demonstrate the unique minimal Frobenius norm solution achievable by selecting specific types of initial tensors. Additionally, numerical examples are presented to illustrate the practicality and validity of our proposed algorithm. These examples include demonstrating the algorithm’s effectiveness in addressing three-dimensional microscopic heat transport and color video restoration problems.