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Iron-loaded coal gasification fine residue activated carbon (Fe/MAC) catalysts were prepared by the impregnation-calcination method using inexpensive coal gasification fine residue (CGF) as a carrier. The removal of simulated phenol from wastewater was experimentally investigated by activated carbon (Fe/MAC) catalysts with Fe-unloaded CGF activated carbon (MAC) as control. The catalysts were characterized by scanning electron microscopy (SEM), specific surface area and micropore analyzer (BET) and X-ray photoelectron spectroscopy (XPS). The effects of reaction times, reaction temperatures and catalyst dosages on phenol removal rate were systematically studied. The results showed that the iron was successfully loaded onto MAC by impregnation-calcination method, and the optimal conditions for phenol removal in the heterogeneous Fenton system based on Fe/MAC/H2O2 were 0.35 g of Fe/MAC catalyst dosage, 5 h of reaction time and 70 ℃. The results of this study provide a new idea for alleviating the secondary pollution of wastewater and catalyst separation of iron in the traditional Fenton method, expande the high-value application of coal gasification fine residue, and provide a new way for the efficient treatment of phenol wastewater.

In China, public houses are properties that belong to the local government and are usually managed by the local Department of Housing and Urban-Rural Development. During the 1970s and the 1980s, these houses were used to provide shelters for incoming rural surplus laborers and low-income families who moved into the cities. Over time, problems with public houses, such as unclear property rights, the absence of management regulations, and long-term disrepair, have become increasingly serious. Managing public houses is a challenge faced by Guangzhou in the process of urban renewal. This study first reviews domestic and foreign examples of revitalizing public houses and research on the theory of "Urban Acupuncture," and then carries out further fieldwork and interviews on public houses in six typical districts of Guangzhou's old city zone. These results indicate that public houses play an important role in providing housing security to tenants. Tenants of such houses have a strong sense of belonging and trust in their communities and neighborhoods. This study summarizes three revitalization modes for public houses: selling public houses after renovation, transforming the use of public houses, and using public houses as affordable housing. It also proposes a strategy that uses public houses first as affordable houses, then for functional transformation, and selling public houses as the last choice for Guangzhou. Based on empirical researches and the methods of "Urban Acupuncture," the study further proposes an analysis model of stock public houses, and four steps of the revitalization path of public houses: (1) Find the problems of public houses through urban physical examination index analysis, big data analysis, residents satisfaction analysis, and so on, and analyze their modes of revitalization based on the analysis model of stock public houses; (2) conduct a house-to-house survey on tenants of these public houses, and select public houses with good reconstruction foundations whose tenants have strong willingness to revitalize and high degrees of cooperation as "acupuncture points"; (3) take continuous, gradual measures to stimulate these "acupuncture points" and influence other tenants of public houses with the same activation modes through social networks; (4) collect feedback from tenants, adjust strategies dynamically, enhance tenants' sense of identity and community belonging to treatment results, and form a positive interaction. It has three major innovations: (1) systematically summarizing domestic and foreign public housing disposal ways and " Urban Acupuncture " theory research progress, and providing a geographic analysis perspective for the theory of "Urban Acupuncture"; (2) providing empirical supports for the three activation modes,and a Guangzhou's strategy for to revitalize public houses; (3) summarizing an analysis framework of the activation mode mechanism of stock public houses from the perspective of humanism, an analysis model of stock public houses, and four steps of the revitalization path of public houses, which are highly enforceable. It is beneficial to the theory and practice on revitalization of public houses, which can also make public houses playing their parts as catalysts in domestic urban renewal process, stimulating motivation of community revitalization, solving housing problem of the minority, and implementing the idea that "we are the cities we make."

In an urban road network, the ability of the traffic flow itself to alleviate congestion caused by external disruptions is overlooked. This study applied the two-fluid model to simulate mesoscopic traffic flow, focusing on the resilience of urban road networks under normal disturbances. Three resilience indices--plasticity, transition of elasticity, and elasticity--were introduced based on the failure deformation process of rigid materials. These indices were used to modify the two-fluid model's parameters, considering the effects of bus operations and temporary roadblocks on traffic flow and service quality. A hidden Markov model (HMM) was employed to predict service quality transitions (distinction, merit, and pass), with validation using dynamic bayonet traffic data from Xuancheng and video recordings from Xi'an, China. The results confirmed that resilience varies significantly across different times and locations, with peak hours and dense urban areas exhibiting lower resilience and higher susceptibility to disruptions. Bus queuing was found to degrade service quality, and rainstorms had a more severe impact than construction zones. The study can aid in the development of management efficiency of urban road networks., Author(s): Mingyang Song [1]; Jianjun Wang (corresponding author) [1]; Rui Li [2]; Washington Y. Ochieng [3] 1. Introduction Assessing the service quality of transportation networks is essential for validating the [...]

The penetration rate of photovoltaic power generation keeps increasing. To address the issues of poor cluster partitioning and lengthy processing times for photovoltaic power station clusters， the paper proposes a method for rapid cluster partitioning method for photovoltaic （PV） plants based on prototype extraction and clustering. Firstly， photovoltaic data is preprocessed to eliminate differences in magnitude and dimensionality among data sets. Subsequently， influential factors on photovoltaic output power are identified using the Pearson correlation coefficient method. Random sampling， k-means++， and an improved spectral clustering method are then employed for sampling， prototype extraction， and prototype clustering of PV plants， respectively. Building upon an enumeration approach and hierarchical optimization， optimal hyperparameters for the aforementioned processes are determined. Finally， various scenarios are set up for case study comparisons， calculating both intra-cluster and inter-cluster indicators as well as clustering time metrics. Through comprehensive analysis， the effectiveness of the proposed method in addressing the rapid clustering for large-scale PV plants is validated.

BackgroundMajor depressive disorder is one of the most disabling mental diseases. Currently， medication in combination with physiotherapy and psychotherapy remains the most commonly used treatment modality for the disease， whereas only a few randomized controlled studies have been conducted on physiotherapy， and even fewer studies have focused on medication combined with physiotherapy.ObjectiveTo explore the efficacy and safety profile of repetitive transcranial magnetic stimulation （rTMS） versus modified electroconvulsive therapy （MECT） in combination with antidepressants in the treatment of major depressive disorder， so as to provide an optimized treatment plan for patients with major depressive disorder.MethodsPatients with major depressive disorder （n=335） hospitalized in Shandong Daizhuang Hospital from January 1， 2019 to April 30， 2023 were included， all of whom met the diagnostic criteria of the International Classification of Diseases， tenth edition （ICD-10）. Depending on their disease condition， patients were subjected to either MECT in combination with drugs （n=141） or rTMS in combination with drugs （n=194） after admission. Depressive symptoms were assessed using Hamilton Depression Scale-24 item （HAMD-24） at the baseline and the end of the 1st， 2nd， 3rd and 4th week of treatment， and the adverse reactions were documented in patient's medical records.ResultsAnalysis of variance on HAMD-24 revealed a significant effect of time （F=3.081， P=0.042）， but no effect of group （F=1.023， P=0.313）， and the interaction effect between the time and the groups was not statistically significant （F=1.642， P=0.191）. No statistical difference was reported between two groups in response rate and full remission rate （P>0.05）. Throughout the course of treatment， 58 cases （41.13%） of recent memory impairment and 74 cases （52.48%） of headache or neck muscle pain occurred in MECT combined with drugs group， and 27 cases （13.92%） in rTMS combined with drugs group experienced headache or head skin discomfort.ConclusionAntidepressants in combination with rTMS or MECT show equivalent efficacy in the treatment of major depressive disorder， while rTMS combined with antidepressants demonstrates a superior safety profile compared to MECT.