bluuebunny/crossref_metadata_2025_split huggingface dataset:
Differences in Frequency of Violence and Reported Injury Between Relationships With Reciprocal and Nonreciprocal Intimate Partner Violence
Authors: Whitaker Daniel J. , Haileyesus Tadesse , Swahn Monica , Saltzman Linda S. 
Published: March 2007

Objectives. We sought to examine the prevalence of reciprocal (i.e., perpetrated by both partners) and nonreciprocal intimate partner violence and to determine whether reciprocity is related to violence frequency and injury. Methods. We analyzed data on young US adults aged 18 to 28 years from the 2001 National Longitudinal Study of Adolescent Health, which contained information about partner violence and injury reported by 11 370 respondents on 18761 heterosexual relationships. Results. Almost 24% of all relationships had some violence, and half (49.7%) of those were reciprocally violent. In nonreciprocally violent relationships, women were the perpetrators in more than 70% of the cases. Reciprocity was associated with more frequent violence among women (adjusted odds ratio [AOR]=2.3; 95% confidence interval [CI]=1.9, 2.8), but not men (AOR=1.26; 95% CI=0.9, 1.7). Regarding injury, men were more likely to inflict injury than were women (AOR=1.3; 95% CI=1.1, 1.5), and reciprocal intimate partner violence was associated with greater injury than was nonreciprocal intimate partner violence regardless of the gender of the perpetrator (AOR=4.4; 95% CI=3.6, 5.5). Conclusions. The context of the violence (reciprocal vs nonreciprocal) is a strong predictor of reported injury. Prevention approaches that address the escalation of partner violence may be needed to address reciprocal violence.
Self-Rated Health Trajectories in the United States and the United Kingdom: A Comparative Study
Authors: Sacker Amanda , Wiggins Richard D. , Bartley Mel , McDonough Peggy 
Published: March 2007

Objectives. We reviewed literature on comparative social policy and life course research and compared associations between health and socioeconomic circumstances during an 11-year period in the United States and the United Kingdom. Methods. We obtained data from the US Panel Study of Income Dynamics and the British Household Panel Survey (1990–2002). We used latent transition analysis to examine change in self-rated health from one discrete state to another; these health trajectories were then associated with socioeconomic measures at the beginning and at the end of the study period. Results. We identified good and poor latent health states, which remained relatively stable over time. When change occurred, decline rather than improvement was more likely. UK populations were in better health compared with US populations and were more likely to improve over time. Labor market participation was more strongly associated with good health in the United Kingdom than in the United States. Conclusions. National policies and practices may be keeping more US workers than UK workers who are in poor health employed, but British policies may give UK workers the chance to return to better health and to the labor force.
Decoding Suicide Decedent Profiles and Signs of Suicidal Intent Using Latent Class Analysis
Authors: Xiao Yunyu , Bi Kaiwen , Yip Paul Siu-Fai , Cerel Julie , Brown Timothy T. , Peng Yifan , Pathak Jyotishman , Mann J. John 
Published: March 2024

ImportanceSuicide rates in the US increased by 35.6% from 2001 to 2021. Given that most individuals die on their first attempt, earlier detection and intervention are crucial. Understanding modifiable risk factors is key to effective prevention strategies.ObjectiveTo identify distinct suicide profiles or classes, associated signs of suicidal intent, and patterns of modifiable risks for targeted prevention efforts.Design, Setting, and ParticipantsThis cross-sectional study used data from the 2003-2020 National Violent Death Reporting System Restricted Access Database for 306 800 suicide decedents. Statistical analysis was performed from July 2022 to June 2023.ExposuresSuicide decedent profiles were determined using latent class analyses of available data on suicide circumstances, toxicology, and methods.Main Outcomes and MeasuresDisclosure of recent intent, suicide note presence, and known psychotropic usage.ResultsAmong 306 800 suicide decedents (mean [SD] age, 46.3 [18.4] years; 239 627 males [78.1%] and 67 108 females [21.9%]), 5 profiles or classes were identified. The largest class, class 4 (97 175 [31.7%]), predominantly faced physical health challenges, followed by polysubstance problems in class 5 (58 803 [19.2%]), and crisis, alcohol-related, and intimate partner problems in class 3 (55 367 [18.0%]), mental health problems (class 2, 53 928 [17.6%]), and comorbid mental health and substance use disorders (class 1, 41 527 [13.5%]). Class 4 had the lowest rates of disclosing suicidal intent (13 952 [14.4%]) and leaving a suicide note (24 351 [25.1%]). Adjusting for covariates, compared with class 1, class 4 had the highest odds of not disclosing suicide intent (odds ratio [OR], 2.58; 95% CI, 2.51-2.66) and not leaving a suicide note (OR, 1.45; 95% CI, 1.41-1.49). Class 4 also had the lowest rates of all known psychiatric illnesses and psychotropic medications among all suicide profiles. Class 4 had more older adults (23 794 were aged 55-70 years [24.5%]; 20 100 aged ≥71 years [20.7%]), veterans (22 220 [22.9%]), widows (8633 [8.9%]), individuals with less than high school education (15 690 [16.1%]), and rural residents (23 966 [24.7%]).Conclusions and RelevanceThis study identified 5 distinct suicide profiles, highlighting a need for tailored prevention strategies. Improving the detection and treatment of coexisting mental health conditions, substance and alcohol use disorders, and physical illnesses is paramount. The implementation of means restriction strategies plays a vital role in reducing suicide risks across most of the profiles, reinforcing the need for a multifaceted approach to suicide prevention.
Institute for Foundations of Machine Learning (IFML): Advancing AI systems that will transform our world
Authors: Klivans Adam , Dimakis Alexandros G. , Grauman Kristen , Tamir Jonathan I. , Diaz Daniel J. , Davidson Karen 
Published: March 2024

AbstractThe Institute for Foundations of Machine Learning (IFML) focuses on core foundational tools to power the next generation of machine learning models. Its research underpins the algorithms and data sets that make generative artificial intelligence (AI) more accurate and reliable. Headquartered at The University of Texas at Austin, IFML researchers collaborate across an ecosystem that spans University of Washington, Stanford, UCLA, Microsoft Research, the Santa Fe Institute, and Wichita State University. Over the past year, we have witnessed incredible breakthroughs in AI on topics that are at the heart of IFML's agenda, such as foundation models, LLMs, fine‐tuning, and diffusion with game‐changing applications influencing almost every area of science and technology. In this article, we seek to highlight seek to highlight the application of foundational machine learning research on key use‐inspired topics:

Fairness in Imaging with Deep Learning: designing the correct metrics and algorithms to make deep networks less biased.
Deep proteins: using foundational machine learning techniques to advance protein engineering and launch a biomanufacturing revolution.
Sounds and Space for Audio‐Visual Learning: building agents capable of audio‐visual navigation in complex 3D environments via new data augmentations.
Improving Speed and Robustness of Magnetic Resonance Imaging: using deep learning algorithms to develop fast and robust MRI methods for clinical diagnostic imaging.

IFML is also responding to explosive industry demand for an AI‐capable workforce. We have launched an accessible, affordable, and scalable new degree program—the MSAI—that looks to wholly reshape the AI/ML workforce pipeline.
An Artificial Enzyme: How Nanoconfinement Allows the Selective Electrochemical Detection of Glucose Directly in Whole Blood
Authors: Benedetti Tania M. , Somerville Samuel V. , Wordsworth Johanna , Yamamoto Yasuaki , Schuhmann Wolfgang , Tilley Richard D. , Gooding J. Justin 
Published: March 2024

AbstractNanoparticles that catalyze biochemically relevant reactions are promoted as alternative enzymes. The application of such artificial enzymes is severely restricted by poor selectivity in biological fluids; mainly because the reactions occur at active sites on the exterior surface of the nanoparticle. Enzymes in contrast typically have their active sites down a nanoconfined substrate channel where the reaction occurs in different solution conditions to bulk solution which aids in achieving selectivity for the substrate. Herein the same 3D structure of enzymes is mimicked in nanoparticles to allow selective reactions in biological fluids. This is achieved using a gold nanoparticle coated in a conducting mesoporous carbon shell where isolated nanochannels lead to the gold surface. It can detect glucose in whole blood with no interference from other species. This is achieved by electrochemically pulsing the artificial enzymes to generate the locally required alkalinity for an effective electrocatalytic reaction in the nanochannels, as well as expelling fouling agents that will otherwise passivate the electrocatalytic reaction. The artificial enzymes are shown to be capable of detecting glucose in biological fluids, without loss of signal, for several months. This study shows how nanoconfinement in nanoparticles can be exploited to potentially allow a broad range of species to be selectively detected in biological fluids with stability that can exceed that of enzymes.
Localized Surface Plasmon Resonance‐Enhanced Photocatalytic Antibacterial of In Situ Sprayed 0D/2D Heterojunction Composite Hydrogel for Treating Diabetic Wound
Authors: Wang Zhengao , Li Wei , Fan Youzhun , Xiao Cairong , Shi Zhifeng , Chang Yunbing , Liang Guoyan , Liu Chengli , Zhu Zurong , Yu Peng , Yang Xuebin , Song Zhiguo , Ning Chengyun 
Published: March 2024

AbstractChronic diabetic wounds pose significant challenges due to uncontrolled bacterial infections, prolonged inflammation, and impaired angiogenesis. The rapid advancement of photo‐responsive antibacterial therapy shows promise in addressing these complex issues, particularly utilizing 2D heterojunction materials, which offer unique properties. Herein, an in situ sprayed Bi/BiOCl 0D/2D heterojunction composite fibrin gel with the characteristics of rapid formation and effective near‐infrared activation is designed for the treatment of non‐healing diabetes‐infected wounds. The sprayed composite gel can provide protective shielding for skin tissues and promote endothelial cell proliferation, vascularization, and angiogenesis. The Bi/BiOCl 0D/2D heterojunction, with its localized surface plasmon resonance (LSPR), can overcome the wide bandgap limitation of BiOCl, enhancing the generation of local heat and reactive oxygen species under near‐infrared irradiation. This facilitates bacterial elimination and reduced inflammation, supporting the accelerated healing of diabetes‐infected wounds. This study underscores the potential of LSPR‐enhanced heterojunctions as advanced wound therapies for chronic diabetic wounds.
Designer Lithium Reservoirs for Ultralong Life Lithium Batteries for Grid Storage
Authors: Tian Mengyu , Yan Yong , Yu Hailong , Ben Liubin , Song Ziyu , Jin Zhou , Cen Guanjun , Zhu Jing , Armand Michel , Zhang Heng , Zhou Zhibin , Huang Xuejie 
Published: March 2024

AbstractThe minimization of irreversible active lithium loss stands as a pivotal concern in rechargeable lithium batteries, particularly in the context of grid‐storage applications, where achieving the utmost energy density over prolonged cycling is imperative to meet stringent demands, notably in terms of life cost. Departing from conventional methodologies advocating electrode prelithiation and/or electrolyte additives, a new paradigm is proposed here: the integration of a designer lithium reservoir (DLR) featuring lithium orthosilicate (Li4SiO4) and elemental sulfur. This approach concurrently addresses active lithium consumption through solid electrolyte interphase (SEI) formation and mitigates minor yet continuous parasitic reactions at the electrode/electrolyte interface during extended cycling. The remarkable synergy between the Li‐ion conductive Li4SiO4 and the SEI‐favorable elemental sulfur enables customizable compensation kinetics for active lithium loss throughout continuous cycling. The introduction of a minute quantity of DLR (3 wt% Li4SiO4@S) yields outstanding cycling stability in a prototype pouch cell (graphite||LiFePO4) with an ampere‐hour‐level capacity (≈2.3 Ah), demonstrating remarkable capacity retention (≈95%) even after 3000 cycles. This utilization of a DLR is poised to expedite the development of enduring lithium batteries for grid‐storage applications and stimulate the design of practical, implantable rechargeable batteries based on related cell chemistries.
2D Air‐Stable Nonlayered Ferrimagnetic FeCr2S4 Crystals Synthesized via Chemical Vapor Deposition
Authors: Liu Lei , Yu Qin , Xia Jing , Shi Wenxiao , Wang Dong , Wu Juanxia , Xie Liming , Chen Yuansha , Jiao Liying 
Published: March 2024

AbstractThe discovery of intrinsic 2D magnetic materials has opened up new opportunities for exploring magnetic properties at atomic layer thicknesses, presenting potential applications in spintronic devices. Here a new 2D ferrimagnetic crystal of nonlayered FeCr2S4 is synthesized with high phase purity using chemical vapor deposition. The obtained 2D FeCr2S4 exhibits perpendicular magnetic anisotropy, as evidenced by the out‐of‐plane/in‐plane Hall effect and anisotropic magnetoresistance. Theoretical calculations further elucidate that the observed magnetic anisotropy can be attributed to its surface termination structure. By combining temperature‐dependent magneto‐transport and polarized Raman spectroscopy characterizations, it is discovered that both the measured Curie temperature and the critical temperature at which a low energy magnon peak disappeared remains constant, regardless of its thickness. Magnetic force microscopy measurements show the flipping process of magnetic domains. The exceptional air‐stability of the 2D FeCr2S4 is also confirmed via Raman spectroscopy and Hall hysteresis loops. The robust anisotropic ferrimagnetism, the thickness‐independent of Curie temperature, coupled with excellent air‐stability, make 2D FeCr2S4 crystals highly attractive for future spintronic devices.
Aluminum‐Based Chalcopyrite Thin Films and Solar Cells
Authors: Ishizuka Shogo , Taguchi Noboru 
Published: March 2024

AbstractAluminum‐based chalcopyrite materials have attracted attention because of the wide controllability range of their material properties and potential for use in energy‐conversion devices. Herein, CuAlSe2‐based thin‐film growth and solar cell device properties are discussed. Ternary CuAlSe2 thin films are relatively unstable and decompose weeks after film growth, even when preserved in a dry box. However, alloying with elemental In led to significant improvements in stability. Cu(In,Al)Se2 (CIAS) solar cells yield better photovoltaic performance than CuInSe2 cells, although the effective range of Al concentration that can improve device performance is narrower than that of elemental Ga in Cu(In,Ga)Se2 (CIGS). A decrease in the alkali metal concentration in CIAS films with increasing Al concentration is observed, indicating that the formation energy of alkali‐metal substitutional defects on the Cu site is high, and/or Al‐related complex defects formed are kinetically stable and difficult to replace with alkali metals once they form. Although the direct observation of alkali metals in the bulk (grain interior) of chalcopyrite CuInSe2 and CIGS films has been difficult to date, this result can serve as indirect evidence of the presence of alkali metals in the bulk of CuInSe2 films.
Asymmetric Carbene‐Alkyne Metathesis‐Mediated Cascade: Synthesis of Benzoxazine Polychiral Polyheterocycles and Discovery of a Novel Pain Blocker
Authors: Liu Shuhao , Yang Haoyi , Shu Jirong , Wu Linna , Li Yukai , Zhang Zhijing , Guo Weijie , Cai Shuxian , Li Fuyi , Liu Wenjiang , Jia Shikun , Cai Song , Shi Taoda , Hu Wenhao 
Published: March 2024

AbstractThis study introduces a novel approach for synthesizing Benzoxazine‐centered Polychiral Polyheterocycles (BPCPHCs) via an innovative asymmetric carbene‐alkyne metathesis‐triggered cascade. Overcoming challenges associated with intricate stereochemistry and multiple chiral centers, the catalytic asymmetric Carbene Alkyne Metathesis‐mediated Cascade (CAMC) is employed using dirhodium catalyst/Brønsted acid co‐catalysis, ensuring precise stereo control as validated by X‐ray crystallography. Systematic substrate scope evaluation establishes exceptional diastereo‐ and enantioselectivities, creating a unique library of BPCPHCs. Pharmacological exploration identifies twelve BPCPHCs as potent Nav ion channel blockers, notably compound 8 g. In vivo studies demonstrate that intrathecal injection of 8 g effectively reverses mechanical hyperalgesia associated with chemotherapy‐induced peripheral neuropathy (CIPN), suggesting a promising therapeutic avenue. Electrophysiological investigations unveil the inhibitory effects of 8 g on Nav1.7 currents. Molecular docking, dynamics simulations and surface plasmon resonance (SPR) assay provide insights into the stable complex formation and favorable binding free energy of 8 g with C5aR1. This research represents a significant advancement in asymmetric CAMC for BPCPHCs and unveils BPCPHC 8 g as a promising, uniquely acting pain blocker, establishing a C5aR1‐Nav1.7 connection in the context of CIPN.
Predicting per‐ and polyfluoroalkyl substances removal in pilot‐scale granular activated carbon adsorbers from rapid small‐scale column tests
Authors: Hopkins Zachary R. , Knappe Detlef R. U. 
Published: March 2024

AbstractPer‐ and polyfluoroalkyl substances (PFAS) occur widely in drinking water, and consumption of contaminated drinking water is an important human exposure route. Granular activated carbon (GAC) adsorption can effectively remove PFAS from water. To support the design of GAC treatment systems, a rapid bench‐scale testing procedure and scale‐up approach are needed to assess the effects of GAC type, background water matrix, and empty bed contact time (EBCT) on GAC use rates. The overarching goal of this study was to predict PFAS breakthrough curves obtained at the pilot‐scale from rapid small‐scale column test (RSSCT) data. The scale‐up protocol was developed for pilot data obtained with coagulated/settled surface water (TOC = 2.3 mg/L), three GACs, and two EBCTs. Between 7 and 11 PFAS breakthrough curves were available for each pilot column. RSSCT designs were investigated that assumed intraparticle diffusivity is independent of GAC particle size (i.e., constant diffusivity [CD]) or linearly dependent on GAC particle size (i.e., proportional diffusivity [PD]). CD‐RSSCTs effectively predicted the bed volumes of water that could be treated at the pilot‐scale to reach 50% breakthrough (BV50%) of individual PFAS. In contrast, PD‐RSSCTs overpredicted BV50% obtained at the pilot‐scale by a factor of ~2–3. The shape of PFAS breakthrough curves obtained with CD‐RSSCTs deviated from those obtained at the pilot‐scale, indicating that intraparticle diffusivity was dependent on GAC particle diameter (dp). Using the pore surface diffusion model (PSDM), intraparticle diffusivity was found to be proportional to (dp)0.25 when considering data up to about 70% PFAS breakthrough. This proportionality factor can be used to design RSSCTs or scale up existing CD‐RSSCT data using the PSDM. Using pilot‐scale data obtained with groundwater and wastewater‐impacted groundwater as well as with additional GACs, the developed RSSCT scale‐up approach was validated for PFAS breakthrough percentages up to 70%. The presented methodology permits the rapid prediction of GAC use rates for PFAS removal.
Self‐Distancing Regulates the Effect of Incidental Anger (vs. Fear) on Affective Decision‐Making Under Uncertainty
Authors: Mayiwar Lewend , Hærem Thorvald , Løhre Erik 
Published: March 2024

ABSTRACTEmotions integral to a task are often adaptive, particularly in situations where outcomes and probabilities are not known. However, decisions are also influenced by emotions that arise from situations unrelated to the task. This is especially the case with negative emotions like fear and anger, which also tend to be accompanied by ruminative thinking that might divert decision‐makers' attention from the task at hand. In two preregistered experiments, we show how self‐distancing regulates the influence of incidental anger (vs. fear) on decision‐making under uncertainty. Participants recalled and reflected on a fear‐related or anger‐related event from either a self‐immersed or self‐distanced perspective. Next, they completed a task that is commonly used to measure affective decision‐making under uncertainty, the Iowa Gambling Task. The results in both experiments indicated that self‐immersed angry (vs. fearful) decision‐makers were significantly slower to avoid the risky, disadvantageous decks. These findings demonstrate how the ways in which we process negative emotional events shape their carryover effects in decision‐making under uncertainty and point to self‐distancing as a potential tool to control incidental emotional influences.
Children who experience misrecognition in primary education: A social justice perspective
Authors: Hargreaves Eleanore , Quick Laura , Buchanan Denise 
Published: March 2024

AbstractOur research constructed school life histories with 23 ‘lower‐attaining’ primary school children in England. Previous research has often failed to focus on the social justice aspects of this group, and no attempt has been made to contextualise children's misrecognition experiences within their full school life history, nor to hear primarily from children. Our results reveal for the first time the feelings, thinking and actions of lower attainers across 5 years of schooling, in response to the institutionalised practice of grouping by prior attainment. Nancy Fraser's conceptualisation of social justice as parity of participation provides our analysis framework, incorporating concepts of redistribution, recognition and representation. We focus primarily on how some low‐attaining children experience misrecognition. Our results indicate how lower‐attaining children sometimes identify themselves as less worthy, less connected, less similar and less visible than others. This construction allows for less respect to be shown to them and could block the fair distribution of schooling resources, and limit their opportunities for achieving social esteem.
Multifunctional agents based on 3‐dicycanovinylindan‐1‐one acceptor: Molecular design and phototheranostic application
Authors: Zhu Najia , Jiang Yajing , Wu Wenbo 
Published: March 2024

AbstractPhototherapy, including photodynamic therapy (PDT) and photothermal therapy (PTT), has garnered considerable attention in recent years, owing to its precise spatiotemporal accuracy with minimal side effects. Recent research reveals that the combination of PDT and PTT exhibits a remarkable anti‐tumor efficacy compared to PDT or PTT alone, which has put forward the new requirements of multifunctional phototherapy agents with both high photosensitization and photothermal conversion efficiencies. Among the newly developed multifunctional agents, the ones with one or two 3‐dicycanovinylindan‐1‐one (IC) moieties as the acceptors attract much more attention, due to their long‐wavelength excitation and emission, as well as high phototherapy efficacies. Therefore, in this review, the latest advancement of multifunctional agents based on IC acceptor is summarized. Especially, we focus on the structure–property relationships of the agents, as well as their biomedical application in anti‐tumor therapy or image‐guided therapy. Our perspective on the further future development of this field is also discussed to conclude.