bluuebunny/crossref_metadata_2025_split huggingface dataset:
A rare case of allergic bronchopulmonary mycosis complicating pulmonary pleomorphic carcinoma
Authors: Okada Yoshihiro , Sakaguchi Kazuhiro , Tanimura Kazuya , Horimoto Kazuhide , Kawaguchi Takeshi , Hamaji Masatsugu , Takeda Maiko , Hontsu Shigeto , Muro Shigeo 
Published: July 2024

AbstractA 72‐year‐old man with productive cough and wheezing was referred to our institution for a growing mass shadow and central bronchiectasis in the right lower lobe on computed tomography. Based on the symptoms, elevated Aspergillus‐specific immunoglobulin E levels, and radiological findings, allergic bronchopulmonary mycosis (ABPM) was suspected according to the Japanese clinical diagnostic criteria. The patient refused bronchoscopic examination, and oral prednisolone (0.5 mg/kg/day) improved the symptoms; however, the mass shadow continued to grow. Subsequently, bronchoscopy revealed mucus plugs and an endobronchial tumour with a whitish surface. The tumour was surgically resected, and the pathological diagnosis was a coexistence of ABPM and pulmonary pleomorphic carcinoma. To the best of our knowledge, this is the first case of ABPM developing at the site of pulmonary pleomorphic carcinoma. Careful bronchoscopic examinations and histopathological evaluations of the surgical specimen led to a prompt and accurate diagnosis.
A random forest machine learning model to detect fluvial hazards
Authors: Gava Marco , Biron Pascale M. , Buffin‐Bélanger Thomas 
Published: July 2024

AbstractFluvial hazards of river mobility and flooding are often problematic for road infrastructure and need to be considered in the planning process. The extent of river and road infrastructure networks and their tendency to be close to each other creates a need to be able to identify the most dangerous areas quickly and cost‐effectively. In this study, we propose a novel methodology using random forest (RF) machine learning methods to provide easily interpretable fine‐scale fluvial hazard predictions for large river systems. The tools developed provide predictions for three models: presence of flooding (PFM), presence of mobility (PMM) and type of erosion model (TEM, lateral migration, or incision) at reference points every 100 m along the fluvial network of three watersheds within the province of Quebec, Canada. The RF models use variables focused on river conditions and hydrogeomorphological processes such as confinement, sinuosity, and upstream slope. Training/validation data included field observations, results from hydraulic and erosion models, government infrastructure databases, and hydro‐ geomorphological assessments using 1‐m DEM and satellite/historical imagery. A total of 1807 reference points were classified for flooding, 1542 for mobility, and 847 for the type of erosion out of the 11,452 reference points for the 1145 km of rivers included in the study. These were divided into training (75%) and validation (25%) datasets, with the training dataset used to train supervised RF models. The validation dataset indicated the models were capable of accurately predicting the potential for fluvial hazards to occur, with precision results for the three models ranging from 83% to 94% of points accurately predicted. The results of this study suggest that RF models are a cost‐effective tool to quickly evaluate the potential for fluvial hazards to occur at the watershed scale.
Conversion of coastal marsh to aquaculture ponds altered soil ammonia oxidiser community and decreased ammonia oxidation potential
Authors: Ye Guiping , Tang Kam W. , Lin Xiao , Yang Ping , Tong Chuan , He Zi‐Yang , Feng Mengmeng , Deng Milin , Lin Yongxin 
Published: July 2024

AbstractIntroductionAs a crucial component of the nitrogen cycle, ammonia oxidation in soil can be driven by canonical ammonia‐oxidising archaea (AOA) and bacteria, as well as complete ammonia oxidiser (CMX Nitrospira). Land use change can disrupt and alter the soil microbial community and the nitrogen cycle.Materials & MethodsWe compared the soil ammonia‐oxidising microorganisms and ammonia oxidation potentials in a coastal marsh and nearby reclaimed aquaculture ponds, monthly over a 10‐month period in southeastern China. The abundance of ammonia oxidisers was assessed by real‐time quantitative PCR and the community structure of CMX Nitrospira was evaluated by high‐throughput sequencing.ResultsThe ammonia oxidiser community was dominated by AOA in the marsh (91%) and was made up of similar proportions of AOA and CMX Nitrospira in the aquaculture ponds (46%–47%). The CMX Nitrospira community structure changed significantly between habitat types, mainly driven by opposite change in relative abundance of clade B versus clades A.2 and A.3. Aquaculture reclamation decreased the soil potential ammonia oxidation rate (PAO) by an order of magnitude, and AOA was the only significant predictor of PAO among all ammonia oxidiser groups.ConclusionOur results suggest that aquaculture reclamation from coastal marshes would significantly alter the soil ammonia oxidiser community and decrease ammonia oxidation rate, and CMX Nitrospira appear to play a relative larger role in nitrogen cycling in aquaculture ponds.
Assessing decadal soil redistribution rates using 239+240Pu across diverse lithologies in Southeast Alaska
Authors: Portes Raquel , Spinola Diogo , Ketterer Michael E. , Egli Markus , Lybrand Rebecca A. , Fedenko Jennifer , Biles Frances , Trainor Thomas P. , Dere Ashlee , D'Amore David V. 
Published: July 2024

AbstractQuantifying soil redistribution rates, including both erosion and deposition, is critical for understanding erosion processes, landscape evolution, land management strategies, and the carbon cycle. In the Northeast Pacific coastal temperate rainforest, the interaction of perhumid climate and dense coniferous forest tends to form Spodosols which are soils characterized by a subsurface accumulation of organic matter and iron and aluminum oxides, across a range of contrasting lithologies. Deep Spodosols are frequently found on steep backslopes (up to 60%) of colluvial deposits, where shallower soils would typically be expected. We hypothesized that deep Spodosols in Southeast Alaska indicate slope stability, exhibiting negligible soil redistribution rates and stable surfaces regardless of the lithology. Our objective was to quantify soil redistribution rates for Spodosols formed on steep slopes across a range of lithologies in hilly and mountainous areas of Juneau, AK. We used 239+240Pu isotopes to quantify soil erosion and deposition rates in Spodosols formed on colluvial deposits from tonalite, slate, metavolcanic rock, and phyllite. 239+240Pu measurements revealed negligible soil redistribution rates for all studied pedons, ranging from erosion rates of 0.51 t/ha/year to deposition rates up to 0.43 t/ha/year. No difference was detected between the hill and mountain landforms, further supporting the idea that Spodosols could indicate slope stability over decadal timescales across the region. Understanding the resilience of Spodosols to erosion processes in varied lithologies and landforms on steep slopes is paramount for making informed decisions regarding sustainable land use, landslide risk mitigation, and effective carbon sequestration strategies.
Albumen‐Based Foam Protein Porous Carbon for Supercapacitor Applications
Authors: Zhao Ni , Ma Zhen , Deng Wenyu , Lu Yanjun , Qi Lijun , Wang Qiang , Cui Weibin 
Published: July 2024

AbstractA multistage pore‐structured porous carbon (AFPC) was created by employing protein as a widely available carbon source and a simple pretreatment, carbonization, and KOH activation procedure. Based on the physical denaturation of protein, foam protein porous carbon with self‐doped nitrogen from the biomass was successfully created by adding air to the protein precursor. The AFPC‐600 exhibited a BET surface area of 443.52 m2 g−1 and an average pore diameter of 35 nm. The material demonstrated a high electrical capacitance of 798.5 F g−1 at a current density of 1 A g−1 in a three‐electrode system test, with 86 % capacitance retention after 4000 charge‐discharge cycles. This paper highlights the promise of improved porous carbon materials, taking advantage of the special qualities of abundant biomass found in nature, for energy storage.
Covalent Organic Framework Based Nanocomposite for Low Temperature Photothermal Therapy
Authors: Chen Zhongkai , Zhan Qinghua , Yan Yifan , Cai Yanfei , Yang Zhaoqi 
Published: July 2024

AbstractTriple negative breast cancer (TNBC) represents a highly aggressive variant of breast cancer characterized by elevated rates of recurrence and mortality. Chemotherapy's application as a main cancer therapy is restricted due to its harmful side effects and resistance to medication. In this study, we utilized a covalent organic framework (COF) to apply indocyanine green (ICG), a photothermal agent, and gambogic acid (GA), an inhibitor of heat shock protein 90 (HSP90), to treat triple negative breast cancer. MTT results showed that the viability of tumor cells decreased more under laser irradiation conditions after the addition of GA than in the COF@ICG group. In addition, protein blotting results showed that under the action of GA, the blank group exhibited significantly higher HSP90 expression levels than the experimental group. The above results indicate that COF@ICG@GA enhances the therapeutic effect of PTT on cancer by inhibiting the expression of HSP90 in triple negative breast cancer cells and enhancing the sensitivity of tumor cells to temperature.
Polyphenol‐Based Bicontinuous Porous Spheres Via Amine‐Mediated Polymerization‐Induced Fusion Assembly
Authors: Liu Zhiqing , Li Wei , Sheng Wenbo , Liu Shiyu , Li Rui , Huang Chao , Xiong Youpeng , Han Lu , Zhen Weijun , Li Yongsheng , Jia Xin 
Published: July 2024

AbstractBicontinuous porous materials, which possess 3D interconnected network and pore channels facilitating the mass diffusion to the interior of materials, have demonstrated their promising potentials in a large variety of research fields. However, facile construction of such complex and delicate structures is still challenging. Here, an amine‐mediated polymerization‐induced fusion assembly strategy is reported for synthesizing polyphenol‐based bicontinuous porous spheres with various pore structures. Specifically, the fusion of pore‐generating template observed by TEM promotes the development of bicontinuous porous networks that are confirmed by 3D reconstruction. Furthermore, the resultant bicontinuous porous carbon particles after pyrolysis, with a diameter of ≈600 nm, a high accessible surface area of 359 m2 g−1, and a large pore size of 40–150 nm manifest enhanced performance toward the catalytic degradation of sulfamethazine in water decontamination. The present study expands the toolbox of interfacial tension‐solvent‐dependent porous spheres while providing new insight into their structure‐property relationships.
Responsive Hydrogel‐Based Modular Microrobots for Multi‐Functional Micromanipulation
Authors: Tan Liyuan , Cappelleri David J. 
Published: July 2024

AbstractMicrorobots show great potential in biomedical applications such as drug delivery and cell manipulations. However, current microrobots are mostly fabricated as a single entity and type and the tasks they can perform are limited. In this paper, modular microrobots, with an overall size of 120 µm × 200 µm, are proposed with responsive mating components, made from stimuli‐responsive hydrogels, and application specific end‐effectors for microassembly tasks. The modular microrobots are fabricated based on photolithography and two‐photon polymerization together or separately. Two types of modular microrobots are created based on the location of the responsive mating component. The first type of modular microrobot has a mating component that can shrink upon stimulation, while the second type has a double bilayer structure that can realize an open and close motion. The exchange of end‐effectors with an identical actuation base is demonstrated for both types of microrobots. Finally, different manipulation tasks are performed with different types of end‐effectors.
Revisiting the connection between state Medicaid expansions and adult mortality
Authors: Koumpias Antonios M. , Courtemanche Charles , Jones Jordan W. , Zapata Daniela 
Published: July 2024

AbstractThis paper examines the impact of Medicaid expansions to parents and childless adults on adult mortality. Specifically, we evaluate the long‐run effects of eight state Medicaid expansions from 1994 through 2005 on all‐cause, healthcare‐amenable, non‐healthcare‐amenable, and HIV‐related mortality rates using state‐level data. We utilize the synthetic control method to estimate effects for each treated state separately and the generalized synthetic control method to estimate average effects across all treated states. Using a 5% significance level, we find no evidence that Medicaid expansions affect any of the outcomes in any of the treated states or all of them combined. Moreover, there is no clear pattern in the signs of the estimated treatment effects. These findings imply that evidence that pre‐ACA Medicaid expansions to adults saved lives is not as clear as previously suggested.
Transition to the Circular Economy: Innovative and Disruptive Production Technologies Adopted by Agribusiness Startups
Authors: Manganda Alexandre Sérgio , Sehnem Simone , Lara Ana Cláudia 
Published: July 2024

ABSTRACTThis study aimed to analyze the impact of innovative and disruptive production technologies adopted by Brazilian agribusiness startups on the value chain, contributing to the transition to the circular economy. Qualitative research was carried out through 10 semi‐structured interviews with CEOs of startups in the agribusiness segment, also called agtechs. The results indicate that various disruptive innovative technologies are in use, such as precision agriculture, artificial intelligence, and biotechnology. The adoption of innovative technologies, especially those that have disruptive potential, contributes to the transition to a circular economy. These innovations enhance efficiency, productivity, resource waste reduction, greenhouse gas emission reduction, monitoring, and control. At the same time, they have the potential to contribute to the generation of food security, the minimization of environmental impact, and the promotion of sustainability in agribusiness, making it more resilient. It is concluded that disruptive technologies, especially those originating from Industry 4.0, have the potential to transform the agribusiness industry. They support sustainable and efficient practices and have the potential to replace the lack of human labor in the field. Furthermore, the study expands the theoretical understanding of the role of agtechs in the circular economy and provides practical insights into the formulation of public policies, investments, and business strategies to promote sustainability in the agricultural sector.
Quantitative and qualitative management of water resources with the use of treated wastewater in agriculture
Authors: Abbasmiri Seyedeh Samaneh , Mortazavi Seyed Abolghasem , Alamdarlo Hamed N. , Vakilpoor Mohammad Hassan 
Published: July 2024

AbstractThe principled utilization of treated wastewater can reduce the pollution load on the environment. Because on the one hand, treated wastewater can be a suitable fertilizer substitute, and on the other hand, using treated wastewater in irrigation prevents the discharge of polluted surface water into water sources. In the south of Tehran province, polluted surface water is used for irrigation in the agricultural sector, and this has led to environmental problems. To solve this problem, it has been decided to implement a plan to build surface water treatment plants and an irrigation and drainage network to transfer treated wastewater to farms. Therefore, the present study aimed to investigate the economic and environmental effects of this project in the region. A hydro‐economic model has been used to achieve this goal. According to the results, in the case of the application of environmental constraints in the optimization model, the cultivation area and the farmers' profit will be reduced by about 5% and 36%, respectively, compared with the noncompliance of environmental constraints. However, this decline in profit can be compensated by adopting solutions such as improving the irrigation system, the application of treated wastewater, or using the fertilizer potential of water sources in the agricultural sector.Practitioner Points
In the optimal economic‐environmental situation, farmers' profit is reduced compared with the optimal economic situation.
In the case of implementing the treated wastewater application, the farmers' profit will increase despite environmental constraints.
In the optimal economic‐environmental situation, fewer lands are cultivated with diverse crops than in optimal economic conditions.
Mass Equidistribution for Saito-Kurokawa Lifts
Authors: Jääsaari Jesse , Lester Stephen , Saha Abhishek 
Published: July 2024

AbstractLet F be a holomorphic cuspidal Hecke eigenform for $\mathrm{Sp}_{4}({\mathbb{Z}})$ of weight k that is a Saito–Kurokawa lift. Assuming the Generalized Riemann Hypothesis (GRH), we prove that the mass of F equidistributes on the Siegel modular variety as k⟶∞. As a corollary, we show under GRH that the zero divisors of Saito–Kurokawa lifts equidistribute as their weights tend to infinity.
Integrating data-driven system to predict temperature and distortion in multi-layer direct metal deposition processes
Authors: Shafaie Majid , Sarparast Mohsen , Zhang Hongyan 
Published: July 2024

AbstractThis study proposed a framework to train an artificial neural network (ANN) by a data-driven system to predict the temperature and distortion in multi-layer direct metal deposition (DMD) of SS 304. By integrating thermomechanical variables, the research ensures the fidelity of finite element (FE) simulations, which are validated against existing data. Notably, the study achieves enhanced precision over prior work by varying the heat input sources and heat transfer equations. A novel aspect of this research is the use verified FE simulation to add data to data-driven system to train an efficient ANN for predicting temperature and distortion based on key parameters such as laser power and scanning speed. The iterative process involved multiple FE simulations with varying laser parameters to refine the ANN’s predictive capabilities. This methodology enabled the identification of relationships between manufacturing parameters, temperature, and distortion. The iterative training continued until the ANN’s predictions and subsequent FE simulation results converged within an acceptable margin. The findings confirm that the trained ANN can predict temperature and distortion both accurately and expediently, marking a significant advancement in the control of the DMD process.
Graphical Abstract
Purity and 2-Calabi–Yau categories
Authors: Davison Ben 
Published: July 2024

AbstractFor various 2-Calabi–Yau categories $\mathscr{C}$
C
for which the classical stack of objects $\mathfrak{M}$
M
has a good moduli space $p\colon \mathfrak{M}\rightarrow \mathcal{M}$
p
:
M
→
M
, we establish purity of the mixed Hodge module complex $p_{!}\underline{{\mathbb{Q}}}_{{\mathfrak {M}}}$

p
!

Q
_

M

. We do this by using formality in 2CY categories, along with étale neighbourhood theorems for stacks, to prove that the morphism $p$
p
is modelled étale-locally by the semisimplification morphism from the stack of modules of a preprojective algebra. Via the integrality theorem in cohomological Donaldson–Thomas theory we then prove purity of $p_{!}\underline{{\mathbb{Q}}}_{{\mathfrak {M}}}$

p
!

Q
_

M

. It follows that the Beilinson–Bernstein–Deligne–Gabber decomposition theorem for the constant sheaf holds for the morphism $p$
p
, despite the possibly singular and stacky nature of ${\mathfrak {M}}$
M
, and the fact that $p$
p
is not proper. We use this to define cuspidal cohomology for ${\mathfrak {M}}$
M
, which conjecturally provides a complete space of generators for the BPS algebra associated to $\mathscr{C}$
C
. We prove purity of the Borel–Moore homology of the moduli stack $\mathfrak{M}$
M
, provided its good moduli space ℳ is projective, or admits a suitable contracting ${\mathbb{C}}^{*}$

C
∗

-action. In particular, when $\mathfrak{M}$
M
is the moduli stack of Gieseker semistable sheaves on a K3 surface, this proves a conjecture of Halpern-Leistner. We use these results to moreover prove purity for several stacks of coherent sheaves that do not admit a good moduli space. Without the usual assumption that $r$
r
and $d$
d
are coprime, we prove that the Borel–Moore homology of the stack of semistable degree $d$
d
rank $r$
r
Higgs sheaves is pure and carries a perverse filtration with respect to the Hitchin base, generalising the usual perverse filtration for the Hitchin system to the case of singular stacks of Higgs sheaves.
Aftermath of Ag embedding on structural, optical, and supercapacitor electrode attributes of USP-grown CuO thin films
Authors: Güney Harun , İskenderoğlu Demet , Güldüren Muhammed Emin , Demir Kübra Çinar , Karadeniz Sibel Morkoç 
Published: July 2024

AbstractHere, ultrasonic spray pyrolysis method (USP) was utilized to produce pure and silver doped copper oxide nanostructures on glass substrates. Thereafter, several characterization techniques were conducted on the grown samples to delve into their morphological, structural, electrochemical, and optical aspects. The mentioned analyses were carried out by performing x-ray photoelectron spectroscopy, scanning electron microscope, X-ray diffraction, electrochemical impedance spectroscopy, galvostatic charge-discharge, cyclic voltammetry, and UV–visible spectroscopy measurements. Thus, the impact of silver impurity doping on the relevant aspects of host material were recorded as well as the features of unspoiled copper oxide films. Accordingly, the samples, as indicated by X-ray diffraction results, possessed (002) preferential plane orientation of copper oxide material along with the crystallite sizes ranging from 52.52 nm to 75.02 nm due to the imperfections caused by the silver doping. The scanning electron microscope images exhibited that the silver doping did not form significant modifications in the host material morphology where nanowire-like structures observed. The presence of the suggested materials in the films was verified by the x-ray photoelectron spectroscopy. Also, the UV–visible spectroscopy measurements detected that optical absorbance edge and bandgap energy values red shifted as a result of the impurity doping. The electrochemical supercapacitors performances of the silver doped copper oxide nanostructured thin films were inspected by using the GCD, EIS, and CV. The silver doped copper oxide films demonstrated a specific capacitance value of 66 F/g at a current density of 1 A/g in 1 M KOH electrolyte. From Nyquist plot, Rs, Rcor, Rpo, Ccor and Cc were obtained as 2.327 × 103 Ω.cm2, 43.63 × 103 Ω.cm2, 4.580 × 103 Ω.cm2, 111.5 × 10-6 S*s^a. cm-2 and 101.1 × 10-6 S*s^a. cm-2, respectively. The results indicated that the electrochemically synthesized the silver doped copper oxide electrodes can be obtained and developed as an alternative electrode material for supercapacitors (SCs).