bluuebunny/crossref_metadata_2025_split huggingface dataset:
Photocatalytic removal of aldrin and dieldrin using graphene oxide and TiO2‐doped CuFe2O4
Authors: Akçağlar Sevil 
Published: October 2024

AbstractBACKGROUNDConventional treatment processes and existing photocatalysts have proven insufficient in efficiently removing aldrin and dieldrin. Consequently, this study aimed to investigate the removal of aldrin and dieldrin from surface water using a titanium dioxide/graphene oxide/copper ferrite (TiO₂/GO/CuFe₂O₄) nanocomposite.RESULTSThe highest photodegradation efficiencies for aldrin (100%) and dieldrin (99%) were achieved with a TiO₂/GO/CuFe₂O₄ nanocomposite dosage of 1.3 mg L−1, at a sunlight intensity of 9 W m−2 and an optimal photodegradation time of 25 min. The maximum UV absorption wavelength of the TiO₂/GO/CuFe₂O₄ nanocomposite was observed at 365 nm. The quantum yield of the nanocomposite was recorded as 2.69 × 102 mol einstein−1, and its bandgap energy was determined to be 3.31 eV. The first‐order kinetic rate constants for aldrin and dieldrin were calculated as 0.05 and 0.047 min−1, respectively. X‐ray diffraction analysis confirmed the crystal structure of CuFe₂O₄/TiO₂, while Fourier transform infrared spectroscopy detected carboxylic, epoxy, carbonyl and other oxygenated groups within the TiO₂/GO/CuFe₂O₄ nanocomposite. Scanning electron microscopy and transmission electron microscopy images revealed that CuFe₂O₄ was situated on the outer layer of GO. Energy‐dispersive X‐ray analysis identified the elemental composition of the TiO₂/GO/CuFe₂O₄ nanocomposite as comprising GO, C, Cu, Fe, Ti and O. A reusability study demonstrated that the nanocomposite maintained excellent performance, achieving 99% removal efficiency after 79 cycles and 97% after 100 cycles.CONCLUSIONSThe TiO₂/GO/CuFe₂O₄ nanocomposite effectively removed aldrin and dieldrin from surface water. This nanocomposite holds promise for the remediation of other aquatic ecosystems, such as bays, rivers and ocean waters. © 2024 The Author(s). Journal of Chemical Technology and Biotechnology published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry (SCI).
Diagnosis and Analysis of Vasa Previa Types With Flow HD Glass Body
Authors: Gong Lili , Zheng Lipeng , Gao Junhui , Chang Hongbo , Liu Ying , Wang Yingluan 
Published: October 2024

ObjectivesTo explore the value of applying flow high definition (HD) glass body in prenatal diagnosis of vasa previa and to preliminarily discuss the types of vasa previa.MethodsTwo‐dimensional ultrasound, flow HD, and flow HD glass body were used to image the umbilical cord insertion site and placenta, observe the cervical internal os and surrounding areas, and retrospectively analyze cases of vasa previa.ResultsThere were 15 cases of vasa previa, including 14 cases of singleton pregnancies and 1 case of twin pregnancy, with a total of 22 vasa previa, including 10 veins and 12 arteries. There was 1 case with 3 vessels, 5 cases with 2 vessels, and 9 cases with a single vessel. Among them, in 3 cases of vasa previa detected at 12, 14, and 24 weeks, respectively, the vasa previa were relocated to a normal position at 24, 29, and 35 weeks of gestation when re‐examined. Routine 2‐dimensional ultrasound examination in this group showed tubular or circular hypoechoic areas near the cervical internal os, but vasa previa could not be confirmed. Flow HD could display color blood flow at and near the cervical internal os in 15 cases, but it was difficult to continuously show the course and source of the blood vessels under the chorion. Flow HD glass body from multiple angles could display the relationship between 15 cases of 22 vasa previa and the placenta and cervix. Combined with color Doppler blood flow spectra, flow HD glass body could determine the types of vasa previa.ConclusionsFlow HD glass body imaging can clearly display vasa previa, showing their origin and the spatial relationship with the cervix and placenta in a 3‐dimensional manner, displaying the course and attachment points of umbilical vessels under the chorion. It can observe the area of interest at any angle, and combined with color Doppler blood flow spectra, it can judge the vasa previa of the umbilical vein, providing a more definite imaging basis for clinical management.
ε$\varepsilon$‐Regularity criteria and the number of singular points for the 3D simplified Ericksen–Leslie system
Authors: Zuo Zhongbao 
Published: October 2024

AbstractIn this paper, we consider the partial regularity of suitable weak solution to the 3D simplify Ericksen–Leslie system modeling the hydrodynamical motion of nematic liquid crystal flow, which is a coupled system with the Navier–Stokes equations for the velocity field and kinematic transport equations for the molecular orientation field. We present a new regularity criteria for suitable weak solutions to the 3D simplified Ericksen–Leslie system. Moreover, under the condition
where K is an absolute positive constant. Then for a given open subset and for a given moment of time , the number of points of the set is finite, where and is the set of singular points for .
Green Synthesis of Zinc Oxide Nanoparticles Using Dillenia Indica and Mikania Micrantha Leaf Extracts: Applications in Photocatalysis and Antibacterial Activity
Authors: Kumar Pal Protap , Sarifujjaman Md. , Saha Prianka , Mahbubur Rahman S. M. , Emdadul Islam Md. , Ahmmad Bashir , Rezaul Karim Kaykobad Md. , Mahiuddin Md. 
Published: October 2024

AbstractResearchers are keenly interested in developing metal‐based nanoparticles using plant sources as they are eco‐friendly, less expensive and simpler. Zinc oxide nanoparticles, symbolized as D‐ZnONPs and M‐ZnONPs were synthesized in this study utilizing the leaves of D. indica and M. micrantha, respectively, and studied their impact on the growth inhibition of various bacterial strains and on the photocatalysis. By displaying the distinctive surface plasmon resonance (SPR) band at 373 nm in UV‐Vis and bands at 450–480 cm−1 corresponding to Zn−O stretching FTIR spectroscopy imparted the formation of ZnONPs which was further supported by X‐ray diffraction analysis by showing the polycrystalline nature and a hexagonal wurtzite structure. The spherical form and average particle size of 30 nm of the produced ZnONPs, as confirmed by electron microscopy, are also confirmed to be crystalline. Under natural sunlight, both ZnONPs demonstrate excellent degradation efficacy about 96–99 % within 100 min towards methylene blue (MB). Furthermore, it is noteworthy that both the synthesized ZnONPs exhibited 55–60 % efficacy with respect to antibiotics in inhibiting the growth of various pathogenic bacterial strains. Overall, ZnONPs can be produced on a large‐scale using plant sources and employed them in environmental remediation and cosmetic industries as prominent components.
Tree demographics and soil charcoal evidence of fire disturbances in an inaccessible forest atop the Mount Lico inselberg, Mozambique
Authors: Courtney Mustaphi Colin J. , Platts Philip J. , Willcock Simon , Timberlake Jonathan R. , Osborne Jo , Matimele Hermenegildo , Osgood Hanniah S. , Muiruri Veronica M. , Gehrels Maria , Bayliss Julian , Marchant Rob 
Published: October 2024

Societal Impact StatementHighland forests of Mozambique have been strongly modified by human activities for millennia. Some highlands have sheer rock cliffs and are highly inaccessible to people and appear relatively undisturbed. Evidence from the forest and soils of inaccessible Mount Lico show that the fire regime has changed over the recent millennia. As climate and fire regimes continue to change, management of highland ecosystems will be crucial to sustain the high biodiversity and mountain‐water resources that provide key ecosystem services to people living close to these forests.Summary

The sheer rock cliffs of the Mount Lico inselberg, northern Mozambique, is relatively inaccessible to people. A 0.57 km2 forest covers the top of the isolated mountain, and the tree demographics and soil offer an opportunity to investigate the long‐term fire ecology of the forests of the western, leeside of the mountain and potential for changing regional hydroclimate of the Late Holocene.
On the western side of the mountaintop, a 20 × 20 m plot was surveyed for tree taxa, heights and bole diameters. A 220 cm deep pit was dug into the forest soil and analysed to describe the soil texture and carbon content. Charcoal was quantified on sieved subsamples and classified into charcoal morphologies that were then grouped by how readily entrainable on an index score. Three radiocarbon dates were collected from pieces charcoal.
The forest is a combination of montane and woodland tree taxa that differed from the older, more mesic eastern side and reflected differential disturbance patterns. The reddish loam soils dated to the Middle Holocene. Charcoal was present in all soil subsamples and varied little until increasing consistently during the past millennium. The charcoal morphologies suggested a combination of locally derived charcoal and charcoal derived from the surrounding lowlands with the latter increasing in the past centuries.
Few Holocene paleoenvironmental records have been developed from tropical soils in Africa and are useful in locations that do not host lakes and wetlands. Both tree demographics and soil charcoal suggest that changing forest disturbance regimes began during the past millennium. An understanding of history informs future conservation and appropriate management of these special places.
Using radiocarbon of plants to track inequity in urban environments
Authors: Heskel Mary , Hrycyna Elizabeth , Gomes Romeo , Mergenthal Jennings , Noor Saiido , Xu Xiaomei 
Published: October 2024

Societal Impact StatementOver half of Earth's human population lives in urban areas where pollution from fossil fuel combustion threatens urban air quality and public health. The isotopic composition of plant tissues can be used as a tool to estimate local variation in the amount of fossil fuel–derived carbon dioxide. We present a case study that examines this variation against the backdrop of historic discriminatory policies in Saint Paul, Minnesota, USA. Data suggest higher loads of atmospheric fossil carbon in neighborhood greenspaces that are situated closer to large roads, which often correspond with historical policies. Evidence of unequal fossil fuel combustion, and potentially pollution load, may precipitate changes in urban management or pollution mitigation strategies.
Characterization of Different Clay Mines and Preparation and Preservation Properties for Lateolabrax japonicas Fillets Unidirectional Water‐Conducting Preservation Pads Loading Clay Mines
Authors: Huang Haitao , Xv Zhaomeng , Qiao Yu , Ge Yonghong , Li Xiuxia , Li Qiuying , Sun Tong 
Published: October 2024

ABSTRACTIn order to inhibit the growth and reproduction of microorganisms in the exudate of fresh aquatic products during storage. Absorbent paper, absorbent cotton and nylon mesh were used as the substrates, three types of clay minerals (diatomite, columnar diatomite and bentonite) were used as the water absorbing materials and a new type of unidirectional water‐conducting preservation pads was prepared. The physicochemical properties of water absorbing materials and preservation properties of pads for Lateolabrax japonicas fillets were measured. The results show that all three kinds of clay have good water absorption properties, and bentonite exhibits the highest water retention properties because of metal oxide. After absorbing water, the surface holes of diatomite and columnar diatomite particles are blocked, while the volume of bentonite particles increases. Bentonite absorbs water slowly but retains water best and can absorb 10.31 times its own mass of water. Preservation study shows that water absorption preservation pads can effectively absorb the exudate of fish fillets and slow down the deterioration of fish fillet quality. Bentonite preservation pad shows the best effective and extends the shelf life of L. japonicas fillets from 6 to 9.3 days. This research can provide the technical support for the application of preservation pads carrying clay minerals in the field of fresh aquatic products.
Event‐triggered distributed model predictive control for PWA systems
Authors: Ma Aoyun , Li Dewei , Xi Yugeng 
Published: October 2024

AbstractThe online computational burden and control performance are two main issues in implementing distributed model predictive control for piecewise affine systems. In the previous research, many methods have been proposed to solve these issues, such as a one‐step distributed model predictive control method that was proposed to reduce the heavy online computational burden. However, its control performance is limited because of the one‐step prediction horizon. This article proposes an event‐triggered distributed model predictive control algorithm for such systems. The online computational burden is alleviated within the distributed framework through the use of an event‐triggered mechanism and a variable prediction horizon approach. These strategies not only reduce the number of optimization problems requiring online resolution and simplify them, but also allow for a balance between the control performance and the online computational burden by adjusting event‐triggering thresholds. The algorithm utilizes state tubes and terminal sets that are tailored to the characteristics of the piecewise affine systems, thereby rigorously establishing the recursive feasibility of the optimization problems and the stability of the closed‐loop system. The simulation results validate the effectiveness of the proposed algorithm.
Artificial intelligence‐driven sustainability: Enhancing carbon capture for sustainable development goals– A review
Authors: Manikandan Sivasubramanian , Kaviya Rangarajan Sindhu , Shreeharan Dhamodharan Hemnath , Subbaiya Ramasamy , Vickram Sundaram , Karmegam Natchimuthu , Kim Woong , Govarthanan Muthusamy 
Published: October 2024

AbstractArtificial intelligence (AI) and environmental points are equally important components within the response to local weather change. Therefore, based on the efforts of reducing carbon emissions more efficiently and effectively, this study tries to focus on AI integration with carbon capture technology. The urgency of tackling climate change means we need more advanced carbon capture, and this is an area where AI can make a huge impact in how these technologies are operated and managed. It will minimize manufacturing emissions and improve both resource efficiency as well as our planet's environmental footprint by turning waste into something of value again. Artificial intelligence could be leveraged to analyze huge data sets from carbon capture plants, searching for optimal system settings and more efficient ways of identifying patterns in the available information at a larger scale than currently possible. In addition, AI incorporated sensors and monitoring mechanisms in the supply chain can identify any operational failure at reception itself allowing for timely action to protect those areas. Artificial intelligence also helps generative design for carbon capture materials, which allows researchers to explore new types of carbon‐absorbing material, including metal–organic frameworks and polymeric materials that are important in industrial CO2, such as moisture. In addition, it increases the accuracy of reservoir simulations and controls CO2 injection systems for storage or enhanced oil recovery. Through applying AI algorithms on reservoir geology, production performance and real‐time data this study would like to facilitate the optimization of injection processes as well as minimize CO2 emissions while assuring a maximum efficiency. Artificial intelligence integrates with renewable‐based carbon capture efforts that can be employed by AI‐driven smart grid systems to improve carbon capture methods.
Fabrication and Properties of in Situ Cross‐Linked Supramolecular Gel Based on Host‐Guest Interaction
Authors: Shao Minglu , Gong Jing , Cheng Mengjie , Fu Lipei , Liao Kaili , Chang Ailian 
Published: October 2024

AbstractWater‐cut control is critical to efficient reservoir development. In this investigation, a host‐guest inclusion polymer gels system with self‐assembly features was constructed stemming from the host‐guest recognition mechanism. Subsequently, the elements affecting polymer viscosity were discussed. Eventually, the injectivity and plugging performance of the host‐guest inclusion system were measured by core displacement tests. The results indicated that the optimum synthesis temperature of the host polymer and guest polymer were 30 °C and 40 °C, separately, and the optimum total monomer content should be 20 wt%. The polymer system had excellent thickening properties and shearing resistance resulting from host‐guest inclusion interaction and physical hydrophobic association. Meanwhile, it had better plugging performance than host polymer or guest polymer alone. This profile control agent system provides a novel method for settling deep profile control in oilfields.
Formation of Ni‐MOF Derived Nickel Sulfides as Efficient Electrocatalysts for Oxygen Evolution Reaction Through Optimizing the Sulfur Sources Selection
Authors: Wu Fang , Jiao Yuhong , Ge Jin‐Long , Feng Chao , Wu Zhong , Zhu Yujun , Li Qiu 
Published: October 2024

AbstractDeveloping low‐cost and exceedingly efficient electrocatalysts for oxygen evolution reaction (OER) is vital for application of hydrogen production from water splitting. Herein, three different nickel sulfides on nickel foam were fabricated via a simple sulfuring the as‐formed Ni‐MOF with different sulfide as the sulfur source. The effect of sulfur source on OER performance, morphology and structure of the as‐prepared product are well discussed. The optimized Ni‐MOF/NF‐SS deliver overpotentials of 253 and 330 mV to reach current densities of 10 and 100 mA cm−2 with a small Tafel slope of 70.9 mVdec−1, and stability of over 50 h. This work provides insights into the relationship between the OER activity and the structures of nickel sulfides, but also affords a new route to fabricate nickel sulfides‐based electrocatalysts for OER.
Tailoring the Li+ Intercalation Energy of Carbon Nanocage Anodes Via Atomic Al‐Doping for High‐Performance Lithium‐Ion Batteries
Authors: Yu Xingmiao , Xiang Jianfei , Shi Qitao , Li Luwen , Wang Jiaqi , Liu Xiangqi , Zhang Cheng , Wang Zhipeng , Zhang Junjin , Hu Huimin , Bachmatiuk Alicja , Trzebicka Barbara , Chen Jin , Guo Tianxiao , Shen Yanbin , Choi Jinho , Huang Cheng , Rümmeli Mark H. 
Published: October 2024

AbstractGraphitic carbon materials are widely used in lithium‐ion batteries (LIBs) due to their stability and high conductivity. However, graphite anodes have low specific capacity and degrade over time, limiting their application. To meet advanced energy storage needs, high‐performance graphitic carbon materials are required. Enhancing the electrochemical performance of carbon materials can be achieved through boron and nitrogen doping and incorporating 3D structures such as carbon nanocages (CNCs). In this study, aluminum (Al) is introduced into CNC lattices via chemical vapor deposition (CVD). The hollow structure of CNCs enables fast electrolyte penetration. Density functional theory (DFT) calculations show that Al doping lowers the intercalation energy of Li+. The Al–boron (B)–nitrogen (N‐doped CNC (AlBN‐CNC) anode demonstrates an ultrahigh rate capacity (≈300 mAh g−1 at 10 A g−1) and a prolonged fast‐charging lifespan (862.82 mAh g−1 at 5 A g−1 after 1000 cycles), surpassing the N‐doped or BN‐doped CNCs. Al doping improves charging kinetics and structural stability. Surprisingly, AlBN‐CNCs exhibit increased capacity upon cycling due to enlarged graphitic interlayer spacing. Characterization of graphitic nanostructures confirms that Al doping effectively tailors and enhances their electrochemical properties, providing a new strategy for high‐capacity, fast‐charging graphitic carbon anode materials for next‐generation LIBs.
Self‐Adhesive Electronic Skin with Bio‐Inspired 3D Architecture for Mechanical Stimuli Monitoring and Human‐Machine Interactions
Authors: Dai Wenxue , Lei Ming , Dai Ziyi , Ding Sen , Wang Fangcheng , Fang Dan , Wang Rongmei , Qi Biao , Zhang Guoping , Zhou Bingpu 
Published: October 2024

AbstractRecent development of wearable devices is revolutionizing the way of artificial electronic skins (E‐skin), physiological health monitoring and human‐machine interactions (HMI). However, challenge remains to fit flexible electronic devices to the human skin with conformal deformation and identifiable electrical feedback according to the mechanical stimuli. Herein, an adhesive E‐skin is developed that can firmly attach on the human skin for mechanical stimuli perception. The laser‐induced adhesive layer serves as the essential component to ensure the conformal attachment of E‐skin on curved surface, which ensures the accurate conversion from mechanical deformation to precise electrical readouts. Especially, the 3D architecture facilitates the non‐overlapping outputs that bi‐directional joint bending and distinguishes strain/pressure. The optimized E‐skin with bio‐inspired micro‐cilia exhibited significantly improved sensing performances with sensitivity of 0.652 kPa−1 in 0–4 kPa and gauge factor of 8.13 for strain (0–15%) with robustness. Furthermore, the adhesive E‐skin can distinguish inward/outward joint bending in non‐overlapping behaviors, allowing the establishment of ternary system to expand communication capacity for logic outputs such as effective Morse code and intelligent control. It expects that the adhesive E‐skin can serve as a functional bridge between human and electrical terminals for applications from daily mechanical monitoring to efficient HMI.
Rational Design of Highly Porous Donor–Acceptor Based Conjugated Microporous Polymer for Photocatalytic Benzylamine Coupling Reaction
Authors: Bhattacharjee Sudip , Mondal Sumanta , Ghosh Anirban , Banerjee Soumadip , Das Abhijit K. , Bhaumik Asim 
Published: October 2024

AbstractConjugated microporous polymers (CMPs) are an important class of organic materials with several useful features like, inherent nanoscale porosity, large specific surface area and semiconducting properties, which are very demanding for various sustainable applications. Carbazole building blocks are extensively used in designing photocatalysts due to easy electron donation and hole transportation. In the current study, a new CMP material CBZ‐CMP containing carbazole unit used for photocatalytic C═N coupling reaction under blue light irradiation is designed. The CBZ‐CMP framework is made through the polycondensation of 4,4′‐di(9H‐carbazol‐9‐yl)‐1,1′‐biphenyl using FeCl3 as a catalyst. The CBZ‐CMP shows very high BET surface area of 1536 m2 g−1 together with unimodal porosity (ca. 1.7 nm supermicropore), nanowire‐like particle morphology (16–18 nm diameter), and low band gap property. The bi‐phenyl moiety functions as the electron accepting center and the carbazole unit acts as the donor center, which accounts for the low band gap energy of CBZ‐CMP. This nanoporous semiconducting CBZ‐CMP material for photocatalytic benzylamine coupling reaction is explored, where it shows good conversion together with high selectivity under mild reaction conditions. This study offers simple method of preparation of a D–A–D‐based porous photocatalyst for sustainable synthesis of value‐added organics.