bluuebunny/crossref_metadata_2025_split huggingface dataset:
Scalable reinforcement learning-based neural architecture search
Authors: Cassimon Amber , Mercelis Siegfried , Mets Kevin 
Published: November 2024

Abstract
We assess the feasibility of a reusable neural architecture search agent aimed at amortizing the initial time-investment in building a good search strategy. We do this through the use of Reinforcement Learning, where an agent learns to iteratively select the best way to modify a given neural network architecture. This is achieved using a transformer-based agent design trained using the Ape-X algorithm. We consider both the NAS-Bench-101 and NAS-Bench-301 settings, and compare against various known strong baselines, such as local search and random search. While achieving competitive performance on both benchmarks, the amount of training required for the much larger NAS-Bench-301 is only marginally greater than NAS-Bench-101, illustrating the strong scaling properties of our agent. Our agent is able to achieve strong performance, but the choice of values for certain parameters are crucial to ensuring the succesful training of the agent. We provide some guidance for the selection of appropriate values for hyperparameters through a detailed description of our experimental setup and several ablation studies.
The patient and the family: investigating parental mental health problems, family functioning, and parent involvement in child and adolescent mental health services (CAMHS)
Authors: Wirehag Nordh Emme-Lina , Grip Karin , Axberg Ulf 
Published: November 2024

AbstractParental mental health problems can impact child mental health, as well as treatment of child mental health problems. The aim of this study was to investigate self-reported mental health problems in parents of children referred to outpatient child and adolescent mental health services (CAMHS) and to compare child mental health problems, family variables, treatment received and parent participation in treatment planning between parents above and below the cut-off for elevated mental health problems. The sample included N = 111 parents of N = 98 children. Parental reports covering their own and their children’s mental health problems, family functioning, adult relationship satisfaction, and previous treatment for mental health problems were collected at the time of the child’s intake appointment. Questions concerning contact with CAMHS were completed one year later. At the time of the intake appointment, 44% of the children had a parent who reported elevated mental health problems. In these families, children reportedly had significantly more mental health problems and problematic family functioning was more common than in families where parent mental health problems were not elevated. Parents with elevated mental health problems received group-based parent support/education to a greater extent during the first year of contact with CAHMS and reported less participation in treatment planning compared to parents without elevated mental health problems. To conclude, findings indicate that co-occurring mental health problems are common in parents when their child is referred to CAMHS, and in these families, it is reported that children have more symptoms, and more families experience problematic functioning. These factors merit consideration in assessment and treatment planning, indicating increased treatment needs in this group of families.
Observation of an order change during the course of a reaction in a kinetic study of the reduction of trans-dicyanodibromoaurate(III) by octacyanotungstate(IV) in an acidic medium
Authors: Swarts Jannie C. , Dennis C. Robert 
Published: November 2024

Abstract
The reduction of dibromodicyanoaurate(III) ion by octacyanotungstate(IV) ions was studied under near stoichiometric conditions in an acidic medium. An order change occurred during the course of the reaction. The reaction was first order in Au(CN)2(Br)2
– and second order in W(CN)8
4– for the first half-life, but after ca. 60% conversion became first order in both reactants. The order change is ascribed to two different AuII intermediates that form during the reaction course. A third order rate constant of k3 = 7.80 × 105 M−2 min−1 and a second order rate constant of k2 = 108 M−1 min−1 was found at [H+] = 1.633 × 10–3 M, an ionic strength of I = 0.11 M (NaBr) and at 25.0 ± 0.1 °C for the reaction. The reaction rate decreases with increasing [H+] in the reaction mixture at low pH and an experimental pKa of 1.80 ± 0.03 was found at 25.0 ± 0.1 °C for the deprotonation of HW(CN)8
3–. The reaction rate is independent of [Br−] and decrease with addition of W(CN)8
3– in the reaction mixture. Activation parameters have been obtained by a least-squares fit of the temperature data directly to the Eyring equation.

Graphical abstract
Avian Influenza: An Overview and Clinical Status
Authors: Kiley John L. , Yun Heather C. 
Published: November 2024

Abstract
Purpose of Review
2024 saw the outbreak of a strain of highly pathogenic avian influenza with intermittent transmission to humans. This review will consider the landscape of avian influenza, the role migratory birds and cattle play in transmission, and our understanding of the current outbreak in humans.

Recent Findings
While cases of human avian influenza have fortunately continued to be relatively low, the evidence that continued circulation in migratory and domestic poultry flocks combined with spillover into bovine herds support further efforts to understand this outbreak and develop mitigation strategies like vaccines and therapeutics.

Summary
Highly pathogenic avian influenza is likely to remain a critical target for epidemiologic surveillance along with further development of new mitigation strategies.
Progression of Low-Grade Neuroendocrine Tumors (NET) to High-Grade Neoplasms Harboring the NEC-Like Co-alteration of RB1 and TP53
Authors: Joseph Nancy M. , Umetsu Sarah E. , Kim Grace E. , Terry Merryl , Perry Arie , Bergsland Emily , Kakar Sanjay 
Published: November 2024

AbstractHigh-grade or grade 3 epithelial neuroendocrine neoplasms (G3 NEN) are now divided into grade 3 well-differentiated neuroendocrine tumor (G3 NET) and neuroendocrine carcinoma (NEC), both defined by Ki-67 > 20% and/or > 20 mitoses per 2 mm2. NET and NEC are thought to be distinct tumors with different genetic profiles: NEC classically harbors co-alteration of TP53 and RB1, whereas NET genetics are site-dependent with frequent alterations in MEN1, ATRX, DAXX, and TSC1/2 in pancreatic NETs. Progression from NET to NEC is considered rare and is not well described. While both TP53 and RB1 alterations were initially thought to be rare in NET, recent work has demonstrated the former in up to 35% of high-grade G3 NET and the latter in rare high-grade NEN that progressed from NET. Here, we describe the clinical, pathologic, and molecular features associated with tumor evolution in a series of five patients that had low-grade NET that progressed to high-grade NEN with co-alteration of RB1 and TP53, similar to NEC. Morphology of the high-grade neoplasms remained well-differentiated in some cases despite RB1/TP53 co-alteration and had some NEC-like features in other cases. All five patients died of disease, with a mean overall survival of 41 months from the first metastatic disease and 12 months from acquisition of RB1/TP53 co-alteration. Our data demonstrate that low-grade NET can progress via the acquisition of both TP53 and RB1 alteration, similar to NEC, but whether this represents a transformation from NET to NEC remains unclear.
Artificial intelligence in environmental monitoring: in-depth analysis
Authors: Alotaibi Emran , Nassif Nadia 
Published: November 2024

AbstractThis study provides a comprehensive bibliometric and in-depth analysis of artificial intelligence (AI) and machine learning (ML) applications in environmental monitoring, based on 4762 publications from 1991 to 2024. The research highlights a notable increase in publications and citations since 2010, with China, the United States, and India emerging as leading contributors. Key areas of research include air and water quality monitoring, climate change modeling, biodiversity assessment, and disaster management. The integration of AI with emerging technologies, such as the Internet of Things (IoT) and remote sensing, has significantly expanded real-time environmental monitoring capabilities and data-driven decision-making. In-depth analysis reveals advancements in AI/ML methodologies, including novel algorithms for soil mapping, land-cover classification, flood susceptibility modeling, and remote sensing image analysis. Notable applications include enhanced air quality predictions, water quality assessments, climate impact forecasting, and automated wildlife monitoring using AI-driven image recognition. Challenges such as the “black-box” nature of AI models, the need for high-quality data in resource-constrained regions, and the complexity of real-time disaster management are also addressed. The study highlights ongoing efforts to develop explainable AI (XAI) models, which aim to improve model transparency and trust in critical environmental applications. Future research directions emphasize improving data quality and availability, fostering interdisciplinary collaborations across environmental and computer sciences, and addressing ethical considerations in AI-driven environmental management. These findings underscore the transformative potential of AI and ML technologies for sustainable environmental management, offering valuable insights for researchers and policymakers in addressing global environmental challenges.
Producer Willingness to Accept Incentive Levels for Cover Crop Adoption in the Southern Great Plains
Authors: Johnson Trevor D. , Mitchell-McCallister Donna , deVilleneuve Stephanie , Berthold T. Allen 
Published: November 2024

AbstractThe purpose of this study is to analyze agricultural producers’ willingness to adopt regenerative cover crop practices in their operation and the effects of producer and farm characteristics on willingness to accept (WTA) values. The paper utilizes the double-bounded contingent valuation method to analyze survey responses submitted by producers and non-operating landowners in the Texas and Oklahoma portions of the Southern Great Plains. Results showed an average WTA of $26.38/acre for producers to adopt cover crops and that programs aimed at increasing adoption rates may require more substantial investment compared to those focused on continuity with current adopters.
Unlocking the potential of V/Ti-AAC: a promising eco-friendly catalyst for cyclohexene epoxidation
Authors: Belaidi Noureddine , Azzi Hajer , El-Korso Sanaa , Choukchou-Braham Abderrahim , Nebatti-Ech Chergui Abdelkader 
Published: November 2024

Abstract
Bentonite is an abundant natural resource in the Maghnia region of Algeria that may have potential value in catalysis, but heretofore has been considered of low value for this purpose due to its low acidity and low catalytic activity. Low cost is one of the main criteria for choosing a suitable material for catalysis. Because bentonite is abundant and low-cost, its use as a starting material for the preparation of catalysts deserves reconsideration. The present study was undertaken, therefore, to optimize the performance of bentonite as a catalyst in one of the most promising reactions in organic synthesis, namely, cyclohexene epoxidation. The bentonite was subjected to adjustment of its structure by means of a number of laboratory treatments based on its large cation exchange capacity. These modifications aimed to achieve an environmentally friendly catalytic process by incorporating transition metals, specifically titanium and vanadium, into the modified bentonite structure through acid activation. Redox properties were enhanced and Lewis and Brønsted acidities were introduced. The vanadium oxide, supported on titania-pillared, acid-activated bentonite (5V/Ti-AAC), was characterized comprehensively using various techniques, including diffuse-reflectance UV-visible spectroscopy (DR UV-Vis), Fourier-transform infrared spectroscopy (FTIR) for surface acidity analysis, X-ray diffraction (XRD), nitrogen adsorption-desorption isotherms, and scanning electron microscopy (SEM) coupled with energy-dispersive X-ray elemental analysis (EDX). The catalytic activity was investigated in response to certain variables, such as catalyst mass, nature of the solvent, amount of oxidant, and reaction temperature. A kinetic study was conducted to understand the reaction behavior. The experimental results demonstrated intriguing catalytic activity, achieving a 42% conversion rate with ~68% selectivity toward the epoxide product when employing tert-butyl hydroperoxide (TBHP) as the oxidant and heptane as the solvent. This study highlights the potential of 5V/Ti-AAC as an environmentally friendly catalyst applied in the epoxidation of cyclohexene.
Effect of temperature on mineral evolution and adsorption of Eu3+ by bentonite in hyperalkaline conditions
Authors: Liao Rao-ping , Chen Yong-gui , Yu Chuang , Ye Wei-min , Wu Dong-bei , Liu Cong , Wang Qiong 
Published: November 2024

Abstract
Compacted bentonite, used as an engineering barrier for permanent containment of high-level radioactive waste, is susceptible to mineral evolution resulting in compromise of the expected barrier performance due to alkaline–thermal chemical interaction in the near-field. To elucidate the mineral-evolution mechanisms within bentonite and the transformation of the nuclide adsorption properties during that period, experimental evolution of bentonite was conducted in a NaOH solution with a pH of 14 at temperatures ranging from 60 to 120°C. The results showed that temperature significantly affects the stability of minerals in bentonite under alkali conditions. The dissolution rate of fine-grained cristobalite in bentonite exceeds that of smectite, with the phase-transition products of smectite being temperature-dependent. As the temperature rises, smectite experiences a three-stage transformation: initially, at 60°C, the lattice structure thins due to the collapse of the octahedral sheets; at 80°C, the lattice disintegrates and reorganizes into a loose framework akin to albite; and by 100°C, it further reorganizes into a denser framework resembling analcime. The adsorption properties of bentonite exhibit a peak inflection point at 80°C, where the dissolution of the smectite lattice eliminates interlayer pores and exposes numerous polar or negatively charged sites which results in a decrease in specific surface area and an increase in cation exchange capacity and adsorption capacity of Eu3+. This research provides insights into the intricate evolution of bentonite minerals and the associated changes in radionuclide adsorption capacity, contributing to a better understanding of the stability of bentonite barriers and the effective long-term containment of nuclear waste.
Data-driven optimization of a gas turbine combustor: A Bayesian approach addressing NO
x
emissions, lean extinction limits, and thermoacoustic stability
Authors: Reumschüssel Johann Moritz , von Saldern Jakob G. R. , Ćosić Bernhard , Paschereit Christian Oliver 
Published: November 2024

Abstract
The design of gas turbine combustors for optimal operation at different power ratings is a multifaceted engineering task, as it requires the consideration of several objectives that must be evaluated under different test conditions. We address this challenge by presenting a data-driven approach that uses multiple probabilistic surrogate models derived from Gaussian process regression to automatically select optimal combustor designs from a large parameter space, requiring only a few experimental data points. We present two strategies for surrogate model training that differ in terms of required experimental and computational efforts. Depending on the measurement time and cost for a target, one of the strategies may be preferred. We apply the methodology to train three surrogate models under operating conditions where the corresponding design objectives are critical: reduction of NO
x
emissions, prevention of lean flame extinction, and mitigation of thermoacoustic oscillations. Once trained, the models can be flexibly used for different forms of a posteriori design optimization, as we demonstrate in this study.
Predicting Participation in a Post-disaster Mental Health Program
Authors: Crompton David , Kohleis Peter , Shakespeare-Finch Jane , FitzGerald Gerard , Young Ross 
Published: November 2024

Abstract

Objectives
A retrospective naturalistic evaluation was undertaken to identify if pre- and post-disaster factors may predict the likelihood of those considered “at risk” of post-traumatic stress disorder (PTSD) entering a post-disaster clinical treatment program.

Methods
The intake data of 881 people referred to the program following the Queensland (Australia) natural disasters of 2010-11 was evaluated. Those referred scored >2 on the Primary Care PTSD scale. Assessment included the disaster exposure experience, demographic and clinical information, and measures of coping and resilience. Descriptive analyses and a Classification Tree Analysis (CTA) were undertaken to ascertain which factors may predict treatment participation.

Results
The treatment group (TG) in comparison to the non-treatment group (NTG) were more likely to perceive their life was threatened (85.1% vs 8.1%), less able to cope (67% vs 25.8%) and less resilient (4.2% vs 87.5%). The CTA using all the assessment variables found the Connor-Davidson (2-item scale) (P < 0.001), degree of property damage (P < 0.001), financial losses (P < 0.001), perception their life was threatened (P < 0.001) and insurance claims (P < 0.003) distinguished the TG from the NTG.

Conclusions
The study identified factors that distinguished the TG from the NTG and predicted the likelihood of participation in a post-disaster mental health treatment.
Sailing Through Choppy Waters: Management of Medical Oxygen Emergencies During the Second Wave of the COVID-19 Pandemic in India
Authors: Siddharth Vijaydeep , Khare Amitesh , Guleria Randeep 
Published: November 2024

Abstract
During the second wave of COVID-19 pandemic, an increasing number of patients experienced breathlessness, which progressed to acute respiratory distress syndrome, leading to the need for supplemental oxygen therapy and mechanical ventilation. With each passing day, the need for medical oxygen increased and simultaneously medical oxygen reserves in the country were getting depleted. Government agencies deployed multipronged strategies to ensure that the hospitals had an adequate supply of medical oxygen. Mechanisms and formulae were devised for the rational allocation of medical oxygen to various regions in the country; the production of medical oxygen was boosted along with the curtailment of oxygen usage in industries; and efficient supply chain management, which included “Oxygen Express”— special trains for transporting oxygen, aircrafts for transporting medical oxygen, creating green corridors and real-time monitoring of oxygen levels using information technology. The usage and promotion of indigenous PSA oxygen technology augmented the medical oxygen generation capacity at the health care facility level. This emergency situation demonstrated a need for strengthening established intersectoral coordination mechanisms for swift and effective responses to similar situations in future. Various strategies adopted by the Central Government and other government agencies to a large extent helped in addressing the medical oxygen emergencies.
Proton–boron fusion in a hydrogen-doped-boron target
Authors: Li Zhi , Wang Zhao , Zhao Guanchao , Liu Bing , Xie Huasheng , Tan Muzhi , Huang Hairong , Liu Minsheng , Hoffmann Dieter H. H. , Cheng Rui , Luo Di 
Published: November 2024

Abstract
The proton–boron

${}^{11}{\text{B}}\left( {p,\alpha } \right)2\alpha $

reaction (p-11B) is an interesting alternative to the D-T reaction

${\text{D}}\left( {{\text{T}},{\text{n}}} \right)\alpha $

for fusion energy, since the primary reaction channel is aneutronic and all reaction partners are stable isotopes. We measured the α production yield using protons in the 120–260 keV energy range impinging onto a hydrogen–boron-mixed target, and for the first time present experimental evidence of an increase of α-particle yield relative to a pure boron target. The measured enhancement factor is approximately 30%. The experiment results indicate a higher reactivity, and that may lower the condition for p-11B fusion ignition.
Temperature and relative humidity mediated life processes of Spodoptera species (Lepidoptera: Noctuidae)
Authors: Maharjan Rameswor , Hong Seoyeon , Yoon Youngnam , Jang Yunwoo , Park Kido 
Published: November 2024

AbstractAnthropogenic-mediated climate change is expected to negatively affect pest management in agriculture. Hence, we investigated the oviposition, immature mortality, and developmental processes of Spodoptera species (Spodoptera exigua (Hübner) and Spodoptera litura (Fabricius)) under different temperatures (20, 25, and 30°C) and relative humidity (RH) (30–35, 50–55, 70–75, and 90–95%) conditions. For fecundity, mouths of each Spodoptera species were released into a rectangular box whose inner walls were covered with a sheet of white paper for each combination of temperature and RH. The mouths were kept inside the box to deposit eggs for 72 h. Temperature and RH significantly affected the fecundity, with the maximum number of eggs laid in 70–75% at 30°C. The highest egg and larval mortalities were recorded in 30–35 and 90–95% RH, respectively. Temperature and RH greatly affected the developmental period (egg–adult) and adult emergence rate. The rapid development was recorded in 70–75% RH at 30°C. Higher number of adults was found with an increase in temperature and RH. Adult longevity was significantly higher in 70–75% RH at 20°C. Based on the present study's findings, temperature and RH had an individual apparent effect on the developmental processes of Spodoptera species instead of an interactive effect. Therefore, there is need for an in-depth study of the influence of several climatic factors, including CO2, on the developmental modality and demographic changes of Spodoptera species to assess the impacts of climatic components and the sustainable development of management strategies.
Punishing Individuals Who Complied with Intolerably Unjust ‘Laws’ in Predecessor Regimes
Authors: Tan Seow Hon 
Published: November 2024

AbstractSuppose a ‘law’ required individuals to report neighbours of a certain race for extermination. If individuals complied with such a ‘law’ to avoid the penal sanction of a death sentence, should a tribunal involved in the process of transitional justice in a successor regime punish them? Radbruch suggests that intolerably unjust ‘laws’ are not legally valid. According to Radbruch's Formula, reporting the neighbour would not be justified by law. The logical implication of this Formula is that the act of reporting was, in substance, abetment to murder (or possibly, genocide). Yet, punishing individuals who complied with the purported ‘law’ in the predecessor regime seems unfair, particularly as some legal positivists would regard the law as valid. Individuals might have acted according to what they believed was law and under duress (out of fear of penal sanction for failure to comply) in the predecessor regime. I examine whether these are valid considerations in proceedings before a tribunal prosecuting individuals for acts done in compliance with intolerably unjust ‘laws’ in predecessor regimes. While the perceived unfairness might militate against acceptance of Radbruch's Formula, if the considerations are not valid, Radbruch's Formula is unobjectionable.