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15 pages, 357 KiB  
Article
Apalutamide Monotherapy in Metastatic Hormone-Sensitive Prostate Cancer: A Viable Alternative to First-Generation Anti-Androgen Agents to Avoid the Flare Phenomenon and an Effective Treatment for Achieving Early PSA Response
by Gaetano Facchini, Andrea D’Arienzo, Antonella Nicastro, Fabiano Flauto, Michela Izzo, Liliana Montella, Filippo Riccardo, Giovanni Maria Fusco, Francesco Trama, Giovanni Di Lauro, Giuseppe Di Costanzo, Anna Giacoma Tucci, Francesca Iasiello, Lorena Di Lorenzo, Salvatore Maddaluno, Carmela Liguori, Rita Assante di Cupillo, Paola Coppola, Angela Minissale, Maria Teresa Di Nardo, Luigi Formisano, Erika Martinelli, Giuliana Ciappina, Salvatore Pisconti, Massimiliano Berretta and Chiara Barracoadd Show full author list remove Hide full author list
Cancers 2025, 17(15), 2573; https://doi.org/10.3390/cancers17152573 - 5 Aug 2025
Abstract
Background/Objectives: Androgen deprivation therapy (ADT) is the mainstay of prostate cancer treatment, especially in advanced disease. In particular, the gonadotropin-releasing hormone agonists (aGnRH) reduce the production of gonadotropin and, therefore, of testosterone. In about 10% of patients, the non-pulsatile stimulation of GnRH receptor [...] Read more.
Background/Objectives: Androgen deprivation therapy (ADT) is the mainstay of prostate cancer treatment, especially in advanced disease. In particular, the gonadotropin-releasing hormone agonists (aGnRH) reduce the production of gonadotropin and, therefore, of testosterone. In about 10% of patients, the non-pulsatile stimulation of GnRH receptor initially causes a surge in LH and testosterone, defined as the “flare-up phenomenon”, leading to increased bone pain, spinal cord compression, bladder outlet obstruction and cardiovascular issues. To mitigate this effect, combining a first-generation antiandrogen agent (FGA) with aGnRH is recommended. However, second-generation anti-androgens, such as apalutamide, bind selectively and irreversibly to the androgen receptor (AR), exhibiting a more efficient inhibition of the AR pathway. Methods: This is a descriptive retrospective study of 27 patients (pts) with mHSPC, treated at a single center (“Santa Maria delle Grazie” Hospital in Pozzuoli, ASL Napoli 2 Nord, Italy) between June 2022 and April 2024. Patients received apalutamide monotherapy for 14 days followed by continuous combination with aGnRH plus apalutamide. Serum PSA and testosterone levels were measured at baseline, at day 14 (after 13 days of apalutamide monotherapy), at day 28 (after an additional 15 days of apalutamide plus a aGnRH), and at day 60. Results: PSA levels decreased from a mean of 45.2 (±63.1) ng/mL at baseline to a mean of 12.6 (±23.4) ng/mL at day 14 and to 3.3 ng/mL (±6.0) at day 28 of treatment. After 14 days of apalutamide monotherapy, 21 patients (77.8%) achieved a >50% PSA reduction and 4 (14.8%) a >90% PSA reduction. The number of patients with undetectable PSA was one (3.7%) at day 14, two (7.4%) at day 28, and nine (33.3%) at day 60. The mean serum testosterone levels were 6.56 (±4.46) ng/mL at baseline, 6.58 (±4.42) ng/mL at day 14, and 2.40 (± 3.38) ng/mL at day 28. No significant difference in PSA and testosterone level reduction during treatment emerged between subgroups of patients with low- vs. high-volume disease. Conclusions: Apalutamide alone is a viable option for mitigating the flare-up phenomenon, avoiding first generation anti-androgen therapy, and it can achieve rapid and deep biochemical control. Full article
(This article belongs to the Special Issue Advances in Therapeutic Strategies for Prostate Cancer)
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32 pages, 4845 KiB  
Article
Mechanism Analysis and Establishment of a Prediction Model for the Total Pressure Loss in the Multi-Branch Pipeline System of the Pneumatic Seeder
by Wei Qin, Cheng Qian, Yuwu Li, Daoqing Yan, Zhuorong Fan, Minghua Zhang, Ying Zang and Zaiman Wang
Agriculture 2025, 15(15), 1681; https://doi.org/10.3390/agriculture15151681 - 3 Aug 2025
Viewed by 55
Abstract
This study aims to clarify the nonlinear pressure loss patterns of the pneumatic system in a pneumatic seeder under varying pipeline structures and airflow parameters, and to develop a rapid prediction equation for the main pipe’s pressure loss. The studied multi-branch pipeline system [...] Read more.
This study aims to clarify the nonlinear pressure loss patterns of the pneumatic system in a pneumatic seeder under varying pipeline structures and airflow parameters, and to develop a rapid prediction equation for the main pipe’s pressure loss. The studied multi-branch pipeline system consists of a main pipe, a header, and ten branch pipes. The main pipe is vertically installed at the center of the header in a straight-line configuration. The ten branch pipes are symmetrically and evenly spaced along the axial direction of the header, distributed on both sides of the main pipe. The outlet directions of the branch pipes are arranged in a 180° orientation opposite to the inlet direction of the main pipe, forming a symmetric multi-branch configuration. Firstly, this study investigated the flow characteristics within the multi-branch pipeline of the pneumatic system and elaborated on the mechanism of flow division in the pipeline. The key geometric factors affecting airflow were identified. Secondly, from a microscopic perspective, CFD simulations were employed to analyze the fundamental causes of pressure loss in the multi-branch pipeline system. Finally, from a macroscopic perspective, a dimensional analysis method was used to establish an empirical equation describing the relationship between the pressure loss (P) and several influencing factors, including the air density (ρ), air’s dynamic viscosity (μ), closed-end length of the header (Δl), branch pipe 1’s flow rate (Q), main pipe’s inner diameter (D), header’s inner diameter (γ), branch pipe’s inner diameter (d), and the spacing of the branch pipe (δ). The results of the bench tests indicate that when 0.0018 m3·s−1Q ≤ 0.0045 m3·s−1, 0.0272 m < d ≤ 0.036 m, 0.225 m < δ ≤ 0.26 m, 0.057 m ≤ γ ≤ 0.0814 m, and 0.0426 m ≤ D ≤ 0.0536 m, the prediction accuracy of the empirical equation can be controlled within 10%. Therefore, the equation provides a reference for the structural design and optimization of pneumatic seeders’ multi-branch pipelines. Full article
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20 pages, 3582 KiB  
Article
Design and Development of a Real-Time Pressure-Driven Monitoring System for In Vitro Microvasculature Formation
by Gayathri Suresh, Bradley E. Pearson, Ryan Schreiner, Yang Lin, Shahin Rafii and Sina Y. Rabbany
Biomimetics 2025, 10(8), 501; https://doi.org/10.3390/biomimetics10080501 - 1 Aug 2025
Viewed by 168
Abstract
Microfluidic platforms offer a powerful approach for ultimately replicating vascularization in vitro, enabling precise microscale control and manipulation of physical parameters. Despite these advances, the real-time ability to monitor and quantify mechanical forces—particularly pressure—within microfluidic environments remains constrained by limitations in cost [...] Read more.
Microfluidic platforms offer a powerful approach for ultimately replicating vascularization in vitro, enabling precise microscale control and manipulation of physical parameters. Despite these advances, the real-time ability to monitor and quantify mechanical forces—particularly pressure—within microfluidic environments remains constrained by limitations in cost and compatibility across diverse device architectures. Our work presents an advanced experimental module for quantifying pressure within a vascularizing microfluidic platform. Equipped with an integrated Arduino microcontroller and image monitoring, the system facilitates real-time remote monitoring to access temporal pressure and flow dynamics within the device. This setup provides actionable insights into the hemodynamic parameters driving vascularization in vitro. In-line pressure sensors, interfaced through I2C communication, are employed to precisely record inlet and outlet pressures during critical stages of microvasculature tubulogenesis. Flow measurements are obtained by analyzing changes in reservoir volume over time (dV/dt), correlated with the change in pressure over time (dP/dt). This quantitative assessment of various pressure conditions in a microfluidic platform offers insights into their impact on microvasculature perfusion kinetics. Data acquisition can help inform and finetune functional vessel network formation and potentially enhance the durability, stability, and reproducibility of engineered in vitro platforms for organoid vascularization in regenerative medicine. Full article
(This article belongs to the Section Biomimetic Design, Constructions and Devices)
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19 pages, 6581 KiB  
Article
Simulation Study on Erosion of Gas–Solid Two-Phase Flow in the Wellbore near Downhole Chokes in Tight Gas Wells
by Cheng Du, Ruikang Ke, Xiangwei Bai, Rong Zheng, Yao Huang, Dan Ni, Guangliang Zhou and Dezhi Zeng
Processes 2025, 13(8), 2430; https://doi.org/10.3390/pr13082430 - 31 Jul 2025
Viewed by 186
Abstract
In order to study the problem of obvious wall thinning in the wellbore caused by proppant backflow and sand production under throttling conditions in tight gas wells. Based on the gas-phase control equation, particle motion equation, and erosion model, the wellbore erosion model [...] Read more.
In order to study the problem of obvious wall thinning in the wellbore caused by proppant backflow and sand production under throttling conditions in tight gas wells. Based on the gas-phase control equation, particle motion equation, and erosion model, the wellbore erosion model is established. The distribution law of pressure, temperature, and velocity trace fields under throttling conditions is analyzed, and the influences of different throttling pressures, particle diameters, and particle mass flows on wellbore erosion are analyzed. The flow field at the nozzle changes drastically, and there is an obvious pressure drop, temperature drop, and velocity rise. When the surrounding gas is completely mixed, the physical quantity gradually stabilizes. The erosion shape of the wellbore outlet wall has a point-like distribution. The closer to the throttle valve outlet, the more intense the erosion point distribution is. Increasing the inlet pressure and particle mass flow rate will increase the maximum erosion rate, and increasing the particle diameter will reduce the maximum erosion rate. The particle mass flow rate has the greatest impact on the maximum erosion rate, followed by the particle diameter. The erosion trend was predicted using multiple regression model fitting of the linear interaction term. The research results can provide a reference for the application of downhole throttling technology and wellbore integrity in tight gas exploitation. Full article
(This article belongs to the Section Process Control and Monitoring)
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19 pages, 1239 KiB  
Article
Effect of Nudge Interventions in Real-World Kiosks on Consumer Beverage Choices to Promote Non-Sugar-Sweetened Beverage Consumption
by Suah Moon, Seo-jin Chung and Jieun Oh
Nutrients 2025, 17(15), 2524; https://doi.org/10.3390/nu17152524 - 31 Jul 2025
Viewed by 231
Abstract
Background/Objectives: Excessive sugar intake through sugar-sweetened beverages (SSBs) has raised global concerns due to its association with various health risks. This study evaluates the effectiveness of nudges—in the form of order placement, variety expansion, and a combination of both—in promoting non-SSB purchases [...] Read more.
Background/Objectives: Excessive sugar intake through sugar-sweetened beverages (SSBs) has raised global concerns due to its association with various health risks. This study evaluates the effectiveness of nudges—in the form of order placement, variety expansion, and a combination of both—in promoting non-SSB purchases at self-service kiosks, a key environment for SSB consumption. Methods: This study was conducted using a real-world kiosk at food and beverage outlets in South Korea from 28 May to 12 July, 2024. A total of 183 consumers aged 19 to 29 participated in this study. A single kiosk device was used with four screen layouts, each reflecting a different nudge strategy. Participants were unaware of these manipulations when making their purchases. After their purchases, participants completed a survey. All data were analyzed using IBM SPSS Statistics for Windows, Version 29.0. Results: Females reported significantly higher positive attitudes, preferences, and perceived necessity regarding nudges compared to males. In particular, both the single (variety) and combination (order and variety) nudges received positive responses from females (p < 0.001). The combination nudge significantly increased non-SSB purchases compared to the control (p < 0.05) and single (order) nudge groups (p < 0.01), which suggests that combination nudge is effective in promoting healthier beverage choices. Females were also more likely to purchase non-SSBs than males (p < 0.05). Conclusions: The findings suggest that the combination nudge strategy effectively promotes healthier beverage choices in real kiosk settings. Notably, females demonstrate significantly higher positive attitudes, preferences, and perceived necessity regarding nudges compared to males, and are also more likely to purchase non-SSBs. These findings offer valuable insights for real-world applications aimed at encouraging healthier consumption behaviors. Full article
(This article belongs to the Special Issue Policies of Promoting Healthy Eating)
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26 pages, 15885 KiB  
Article
Comparative Analysis of Fully Floating and Semi-Floating Ring Bearings in High-Speed Turbocharger Rotordynamics
by Kyuman Kim and Keun Ryu
Lubricants 2025, 13(8), 338; https://doi.org/10.3390/lubricants13080338 - 31 Jul 2025
Viewed by 168
Abstract
This study presents a detailed experimental comparison of the rotordynamic and thermal performance of automotive turbochargers supported by two distinct hydrodynamic bearing configurations: fully floating ring bearings (FFRBs) and semi-floating ring bearings (SFRBs). While both designs are widely used in commercial turbochargers, they [...] Read more.
This study presents a detailed experimental comparison of the rotordynamic and thermal performance of automotive turbochargers supported by two distinct hydrodynamic bearing configurations: fully floating ring bearings (FFRBs) and semi-floating ring bearings (SFRBs). While both designs are widely used in commercial turbochargers, they exhibit significantly different dynamic behaviors due to differences in ring motion and fluid film interaction. A cold air-driven test rig was employed to assess vibration and temperature characteristics across a range of controlled lubricant conditions. The test matrix included oil supply pressures from 2 bar (g) to 4 bar (g) and temperatures between 30 °C and 70 °C. Rotor speeds reached up to 200 krpm (thousands of revolutions per minute), and data were collected using a high-speed data acquisition system, triaxial accelerometers, and infrared (IR) thermal imaging. Rotor vibration was characterized through waterfall and Bode plots, while jump speeds and thermal profiles were analyzed to evaluate the onset and severity of instability. The results demonstrate that the FFRB configuration is highly sensitive to oil supply parameters, exhibiting strong subsynchronous instabilities and hysteresis during acceleration–deceleration cycles. In contrast, the SFRB configuration consistently provided superior vibrational stability and reduced sensitivity to lubricant conditions. Changes in lubricant supply conditions induced a jump speed variation in floating ring bearing (FRB) turbochargers that was approximately 3.47 times larger than that experienced by semi-floating ring bearing (SFRB) turbochargers. Furthermore, IR images and oil outlet temperature data confirm that the FFRB system experiences greater heat generation and thermal gradients, consistent with higher energy dissipation through viscous shear. This study provides a comprehensive assessment of both bearing types under realistic high-speed conditions and highlights the advantages of the SFRB configuration in improving turbocharger reliability, thermal performance, and noise suppression. The findings support the application of SFRBs in high-performance automotive systems where mechanical stability and reduced frictional losses are critical. Full article
(This article belongs to the Collection Rising Stars in Tribological Research)
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17 pages, 3065 KiB  
Article
Soot Mass Concentration Prediction at the GPF Inlet of GDI Engine Based on Machine Learning Methods
by Zhiyuan Hu, Zeyu Liu, Jiayi Shen, Shimao Wang and Piqiang Tan
Energies 2025, 18(14), 3861; https://doi.org/10.3390/en18143861 - 20 Jul 2025
Viewed by 216
Abstract
To improve the prediction accuracy of soot load in gasoline particulate filters (GPFs) and the control accuracy during GPF regeneration, this study developed a prediction model to predict the soot mass concentration at the GPF inlet of gasoline direct injection (GDI) engines using [...] Read more.
To improve the prediction accuracy of soot load in gasoline particulate filters (GPFs) and the control accuracy during GPF regeneration, this study developed a prediction model to predict the soot mass concentration at the GPF inlet of gasoline direct injection (GDI) engines using advanced machine learning methods. Three machine learning approaches, namely, support vector regression (SVR), deep neural network (DNN), and a Stacking integration model of SVR and DNN, were employed, respectively, to predict the soot mass concentration at the GPF inlet. The input data includes engine speed, torque, ignition timing, throttle valve opening angle, fuel injection pressure, and pulse width. Exhaust gas soot mass concentration at the three-way catalyst (TWC) outlet is obtained by an engine bench test. The results show that the correlation coefficients (R2) of SVR, DNN, and Stacking integration model of SVR and DNN are 0.937, 0.984, and 0.992, respectively, and the prediction ranges of soot mass concentration are 0–0.038 mg/s, 0–0.030 mg/s, and 0–0.07 mg/s, respectively. The distribution, median, and data density of prediction results obtained by the three machine learning approaches fit well with the test results. However, the prediction result of the SVR model is poor when the soot mass concentration exceeds 0.038 mg/s. The median of the prediction result obtained by the DNN model is closer to the test result, specifically for data points in the 25–75% range. However, there are a few negative prediction results in the test dataset due to overfitting. Integrating SVR and DNN models through stacked models extends the predictive range of a single SVR or DNN model while mitigating the overfitting of DNN models. The results of the study can serve as a reference for the development of accurate prediction algorithms to estimate soot loads in GPFs, which in turn can provide some basis for the control of the particulate mass and particle number (PN) emitted from GDI engines. Full article
(This article belongs to the Special Issue Internal Combustion Engines: Research and Applications—3rd Edition)
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13 pages, 248 KiB  
Article
An Evaluation of Polish Women’s Knowledge of Perineal Incision: A Cross-Sectional Study
by Romana Buchert, Katarzyna Wszołek, Kinga Bednarek, Marcin Wierzchowski, Maciej Wilczak and Karolina Chmaj-Wierzchowska
J. Clin. Med. 2025, 14(14), 5142; https://doi.org/10.3390/jcm14145142 - 19 Jul 2025
Viewed by 389
Abstract
Background/Objectives: A perineal incision (episiotomy) is a surgical procedure involving the controlled cutting of perineal tissues to widen the vaginal outlet during the second stage of labor. The aim of this study was to assess Polish women’s knowledge regarding perineal incision. Methods [...] Read more.
Background/Objectives: A perineal incision (episiotomy) is a surgical procedure involving the controlled cutting of perineal tissues to widen the vaginal outlet during the second stage of labor. The aim of this study was to assess Polish women’s knowledge regarding perineal incision. Methods: This study was conducted using an unvalidated, anonymous questionnaire created in Google Forms. Results: Women with higher education, those who had undergone childbirth, and those who identified the Internet, medical personnel, medical personnel on social media, and medical journals as sources had significantly higher levels of knowledge. Respondents aged 25 years or younger had significantly lower knowledge levels compared to those aged over 26. Additionally, respondents living in cities with populations of up to 500,000 had significantly lower levels of knowledge compared to women living in larger cities. Conclusions: The level of women’s knowledge about perineal incision varies and is influenced by several factors. Significant determinants of higher levels of knowledge were higher education, having a history of obstetric delivery, being over 25 years old, and using information provided by medical personnel, including those present on social media. Full article
23 pages, 5120 KiB  
Article
Diagnosis of Performance and Obstacles of Integrated Management of Three-Water in Chaohu Lake Basin
by Jiangtao Kong, Yongchao Liu, Jialin Li and Hongbo Gong
Water 2025, 17(14), 2135; https://doi.org/10.3390/w17142135 - 17 Jul 2025
Viewed by 226
Abstract
The integration of water resources, water environment, and water ecology (hereinafter “three-water”) is essential not only for addressing the current water crisis but also for achieving sustainable development. Chaohu Lake is an important water resource and ecological barrier in the middle and lower [...] Read more.
The integration of water resources, water environment, and water ecology (hereinafter “three-water”) is essential not only for addressing the current water crisis but also for achieving sustainable development. Chaohu Lake is an important water resource and ecological barrier in the middle and lower reaches of the Yangtze River, undertaking such functions as agricultural irrigation, urban water supply, and flood control and storage. Studying the performance of “three-water” in the Chaohu Lake Basin will help to understand the pollution mechanism and governance dilemma in the lake basin. It also provides practical experience and policy references for the ecological protection and high-quality development of the Yangtze River Basin. We used the DPSIR-TOPSIS model to analyze the performance of the river–lake system in the Chaohu Lake Basin and employed an obstacle model to identify factors influencing “three-water.” The results indicated that overall governance and performance of the “three-water” in the Chaohu Lake Basin exhibited an upward trend from 2011 to 2022. Specifically, the obstacle degree of driving force decreased by 19.6%, suggesting that economic development enhanced governance efforts. Conversely, the obstacle degree of pressure increased by 34.4%, indicating continued environmental stress. The obstacle degree of state fluctuated, showing a decrease of 13.2% followed by an increase of 3.8%, demonstrating variability in the effectiveness of water resource, environmental, and ecological management. Additionally, the obstacle degree of impact declined by 12.8%, implying the reduced efficacy of governmental measures in later stages. Response barriers decreased by 5.8%. Variations in the obstacle degree of response reflected differences in response capacities. Spatially, counties and districts at the origins of major rivers and their lake outlets showed lower performance levels in “three-water” management compared to other regions in the basin. Notably, Wuwei City and Feidong County exhibited better governance performance, while Feixi County and Chaohu City showed lower performance levels. Despite significant progress in water resource management, environmental improvement, and ecological restoration, further policy support and targeted countermeasures remain necessary. Counties and districts should pursue coordinated development, leverage the radiative influence of high-performing areas, deepen regional collaboration, and optimize, governance strategies to promote sustainable development. Full article
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14 pages, 2863 KiB  
Article
Numerical Study for Efficient Cooling of Perishable Food Products During Storage: The Case of Tomatoes
by Audrey Demafo, Abebe Geletu and Pu Li
Foods 2025, 14(14), 2508; https://doi.org/10.3390/foods14142508 - 17 Jul 2025
Viewed by 264
Abstract
Unveiling temperature patterns within agricultural products remains the most important indicator for their quality assessment during post-harvest treatments. Temperature control and monitoring within vented packages is essential for preserving the quality of perishable goods, such as tomato fruits, by preventing localized temperature maxima [...] Read more.
Unveiling temperature patterns within agricultural products remains the most important indicator for their quality assessment during post-harvest treatments. Temperature control and monitoring within vented packages is essential for preserving the quality of perishable goods, such as tomato fruits, by preventing localized temperature maxima that can accelerate spoilage. This study proposes a modeling and simulation approach to systematically investigate how ventilation design choices influence internal airflow distribution and the resulting cooling performance. Our analysis compares three distinct venting configurations (single top vent, single middle vent, and two vents) across two package boundary conditions: an open-top system allowing for dual air exits through the open top boundary and the outlet vent(s), respectively, and a closed-top system with a single exit pathway through the outlet vent(s). All scenarios are simulated to assess airflow patterns, velocity magnitudes, and temperature uniformity within different package designs. Full article
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18 pages, 3353 KiB  
Article
An Evaluation of a Novel Air Pollution Abatement System for Ammonia Emissions Reduction in a UK Livestock Building
by Andrea Pacino, Antonino La Rocca, Donata Magrin and Fabio Galatioto
Atmosphere 2025, 16(7), 869; https://doi.org/10.3390/atmos16070869 - 17 Jul 2025
Viewed by 323
Abstract
Agriculture and animal feeding operations are responsible for 87% of ammonia emissions in the UK. Controlling NH3 concentrations below 20 ppm is crucial to preserve workers’ and livestock’s well-being. Therefore, ammonia control systems are required for maintaining adequate air quality in livestock [...] Read more.
Agriculture and animal feeding operations are responsible for 87% of ammonia emissions in the UK. Controlling NH3 concentrations below 20 ppm is crucial to preserve workers’ and livestock’s well-being. Therefore, ammonia control systems are required for maintaining adequate air quality in livestock facilities. This study assessed the ammonia reduction efficiency of a novel air pollution abatement (APA) system used in a pig farm building. The monitoring duration was 11 weeks. The results were compared with the baseline from a previous pig cycle during the same time of year in 2023. A ventilation-controlled room was monitored during a two-phase campaign, and the actual ammonia concentrations were measured at different locations within the site and at the inlet/outlet of the APA system. A 98% ammonia reduction was achieved at the APA outlet through NH3 absorption in tap water. Ion chromatography analyses of farm water samples revealed NH3 concentrations of up to 530 ppm within 83 days of APA operation. Further scanning electron microscopy and energy-dispersive X-ray inspections revealed the presence of salts and organic/inorganic matter in the solid residues. This research can contribute to meeting current ammonia regulations (NECRs), also by reusing the process water as a potential nitrogen fertiliser in agriculture. Full article
(This article belongs to the Special Issue Impacts of Anthropogenic Emissions on Air Quality)
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17 pages, 1394 KiB  
Article
Water Quality and Biological Response in the Deschutes River, Oregon, Following the Installation of a Selective Water Withdrawal
by Joseph M. Eilers, Tim Nightengale and Kellie B. Vache
Water 2025, 17(14), 2091; https://doi.org/10.3390/w17142091 - 13 Jul 2025
Viewed by 431
Abstract
Selective water withdrawals (SWWs) are frequently used to minimize the downstream effects of dams by blending water from different depths to achieve a desired temperature regime in the river. In 2010, an SWW was installed on the outlet structure of the primary hydropower [...] Read more.
Selective water withdrawals (SWWs) are frequently used to minimize the downstream effects of dams by blending water from different depths to achieve a desired temperature regime in the river. In 2010, an SWW was installed on the outlet structure of the primary hydropower reservoir on the Deschutes River (Oregon, USA) to increase spring temperatures by releasing a combination of surface water and bottom waters from a dam that formerly only had a hypolimnetic outlet. The objective of increasing spring river temperatures was to recreate pre-dam river temperatures and optimize conditions for the spawning and rearing of anadromous fish. The operation of the SWW achieved the target temperature regime, but the release of surface water from a hypereutrophic impoundment resulted in a number of unintended consequences. These changes included significant increases in river pH and dissolved oxygen saturation. Inorganic nitrogen releases decreased in spring but increased in summer. The release of surface water from the reservoir increased levels of plankton in the river resulting in changes to the macroinvertebrates such as increases in filter feeders and a greater percentage of taxa tolerant to reduced water quality. No significant increase in anadromous fish was observed. The presence of large irrigation diversions upstream of the reservoir was not accounted for in the temperature analysis that led to the construction of the SWW. This complicating factor would have reduced flow in the river leading to increased river temperatures at the hydropower site during the measurement period used to develop representations of historical temperature. The analysis supports the use of numerical models to assist in forecast changes associated with SWWs, but the results from this project illustrate the need for greater consideration of complex responses of aquatic communities caused by structural modifications to dams. Full article
(This article belongs to the Section Hydrology)
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20 pages, 12984 KiB  
Article
Spatial and Temporal Characterization of the Development and Pollution Emissions of Key Heavy Metal-Related Industries in Typical Regions of China: A Case Study of Hunan Province
by Liying Yang, Xia Li, Jianan Luo, Xuechun Ma, Xiaoyan Zhang, Jiamin Zhao, Zhicheng Shen and Jingwen Xu
Sustainability 2025, 17(14), 6275; https://doi.org/10.3390/su17146275 - 9 Jul 2025
Viewed by 351
Abstract
At present, there is a lack of in-depth knowledge of the effects of heavy metal-related industries (HMIs) in China on the environment. Hunan Province, as a representative gathering place of HMIs, is among the regions in China that are the most severely polluted [...] Read more.
At present, there is a lack of in-depth knowledge of the effects of heavy metal-related industries (HMIs) in China on the environment. Hunan Province, as a representative gathering place of HMIs, is among the regions in China that are the most severely polluted with heavy metals. This paper selected Hunan Province as the study area to analyze the development trend, characteristics of pollution emissions, and environmental impacts of seven HMIs based on emission permit information data from Hunan Province. The results of this study show that (1) from 2000 to 2022, the number of heavy metal-related enterprises in Hunan Province increased overall. Among the seven industries, the chemical product manufacturing industry (CPMI) had the largest number of enterprises, whereas the nonferrous metal smelting and rolling industry (NSRI) had the highest gross industrial product (27.6%). (2) HMIs in Hunan Province had significant emissions of cadmium (Cd), arsenic (As), and hydargyrum (Hg) from exhaust gas and wastewater. Heavy metal-related exhaust gas and wastewater outlets from the NSRI constituted 43.9% and 35.3%, respectively, of all outlets of the corresponding type. The proportions of exhaust gas outlets involving Cd, Hg, and As from the NSRI to total exhaust gas outlets were 44.27%, 60.54%, and 34.23%, respectively. The proportions of wastewater outlets involving Cd, Hg, and As from the NSRI to total wastewater outlets were 61.13%, 57.89%, and 75.30%, respectively. (3) The average distances of heavy metal-related enterprises from arable land, rivers, and flooded areas in Hunan Province were 256 m, 1763 m, and 3352 m, respectively. Counties with high environmental risk (H-L type) were situated mainly in eastern Hunan. Among them, Chenzhou had the most heavy metal-related wastewater outlets (22.7%), and Hengyang had the most heavy metal-related exhaust gas outlets (23.1%). The results provide a scientific basis for the prevention and control of heavy metal pollution and an enhancement in environmental sustainability in typical Chinese areas where HMIs are concentrated. Full article
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20 pages, 4992 KiB  
Article
Spatial Heterogeneity and Controlling Factors of Heavy Metals in Groundwater in a Typical Industrial Area in Southern China
by Jiaxu Du, Fu Liao, Ziwen Zhang, Aoao Du and Jiale Qian
Water 2025, 17(13), 2012; https://doi.org/10.3390/w17132012 - 4 Jul 2025
Viewed by 572
Abstract
Heavy metal contamination in groundwater has emerged as a significant environmental issue, driven by rapid industrialization and intensified human activities, particularly in southern China. Heavy metal pollution in groundwater often presents complex spatial patterns and multiple sources; understanding the spatial heterogeneity and controlling [...] Read more.
Heavy metal contamination in groundwater has emerged as a significant environmental issue, driven by rapid industrialization and intensified human activities, particularly in southern China. Heavy metal pollution in groundwater often presents complex spatial patterns and multiple sources; understanding the spatial heterogeneity and controlling factors of heavy metals is crucial for pollution prevention and water resource management in industrial regions. This study applied spatial autocorrelation analysis and self-organizing maps (SOM) coupled with K-means clustering to investigate the spatial distribution and key influencing factors of nine heavy metals (Cr, Fe, Mn, Ni, Cu, Zn, As, Ba, and Pb) in a typical industrial area in southern China. Heavy metals show significant spatial heterogeneity in concentrations. Cr, Mn, Fe, and Cu form local hotspots near urban and peripheral zones; Ni and As present downstream enrichment along the river pathway with longitudinal increase trends; Zn, Ba, and Pb exhibit a fluctuating pattern from west to east in the piedmont region. Local Moran’s I analysis further revealed spatial clustering in the northwest, riverine zones, and coastal outlet areas, providing insight into potential source regions. SOM clustering identified three types of groundwater: Cluster 1 (characterized by Cr, Mn, Fe, and Ni) is primarily influenced by industrial pollution and present spatially scattered distribution; Cluster 2 (dominated by As, NO3, Ca2+, and K+) is associated with domestic sewage and distributes following river flow; Cluster 3 (enriched in Zn, Ba, Pb, and NO3) is shaped by agricultural activities and natural mineral dissolution, with a lateral distribution along the piedmont zone. The findings of this study provide a scientific foundation for groundwater pollution prevention and environmental management in industrialized areas. Full article
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26 pages, 1934 KiB  
Article
Multi-Objective Optimization of Gas Storage Compressor Units Based on NSGA-II
by Lianbin Zhao, Lilin Fan, Jun Lu, Mingmin He, Su Qian, Qingsong Wei, Guijiu Wang, Haoze Bai, Hu Zhou, Yongshuai Liu and Cheng Chang
Energies 2025, 18(13), 3377; https://doi.org/10.3390/en18133377 - 27 Jun 2025
Viewed by 337
Abstract
This study addresses the parallel operation of multiple compressor units in the gas injection process of gas storage facilities. A multi-objective optimization model based on the NSGA-II algorithm is proposed to maximize gas injection volume while minimizing energy consumption. Thermodynamic models of compressors [...] Read more.
This study addresses the parallel operation of multiple compressor units in the gas injection process of gas storage facilities. A multi-objective optimization model based on the NSGA-II algorithm is proposed to maximize gas injection volume while minimizing energy consumption. Thermodynamic models of compressors and flow–heat transfer models of air coolers are established. The influence of key factors, including inlet and outlet pressures, temperatures, and natural gas composition, on compressor performance is analyzed using the control variable method. The results indicate that the first-stage inlet pressure has the most significant impact on gas throughput, and higher compression ratios lead to increased specific energy consumption. The NSGA-II algorithm is applied to optimize compressor start–stop strategies and air cooler speed matching under high, medium, and low compression ratio conditions. This study reveals that reducing the compression ratio significantly enhances the energy-saving potential. Under the investigated conditions, adjusting air cooler speed can achieve approximately 2% energy savings at high compression ratios, whereas at low compression ratios, the energy-saving potential reaches up to 8%. This research provides theoretical guidance and technical support for the efficient operation of gas storage compressor units. Full article
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