bluuebunny/crossref_metadata_2025_split huggingface dataset:
Breast Density Status Changes: Frequency, Sequence, and Practice Implications
Authors: Maloney Caitlin M , Paul Shirlene , Lieberenz Jordan L , Stempel Lisa R , Levy Mia A , Alvarado Rosalinda 
Published: September 2024

Abstract

Objective
Changes in a patient’s reported breast density status (dense vs nondense) trigger modifications in their cancer risk profile and supplemental screening recommendations. This study tracked the frequency and longitudinal sequence of breast density status changes among patients who received serial mammograms.

Methods
This IRB-approved, HIPAA-compliant retrospective cohort study tracked breast density changes among patients who received at least 2 mammograms over an 8-year study period. BI-RADS density assessment categories A through D, visually determined at the time of screening, were abstracted from electronic medical records and dichotomized into either nondense (categories A or B) or dense (categories C or D) status. A sequence analysis of longitudinal changes in density status was performed using Microsoft SQL.

Results
A total of 58 895 patients underwent 231 997 screening mammograms. Most patients maintained the same BI-RADS density category A through D (87.35% [51 444/58 895]) and density status (93.35% [54 978/58 859]) throughout the study period. Among patients whose density status changed, the majority (97% [3800/3917]) had either scattered or heterogeneously dense tissue, and over half (57% [2235/3917]) alternated between dense and nondense status multiple times.

Conclusion
Our results suggest that many cases of density status change may be attributable to intra- and interradiologist variability rather than to true underlying changes in density. These results lend support to consideration of automated density assessment because breast density status changes can significantly impact cancer risk assessment and supplemental screening recommendations.
Post-stack fracture prediction technique based on improved phase decomposition
Authors: Li Hailiang , Pan Hui , Gao Jianhu , Gui Jinyong 
Published: September 2024

Abstract
Amplitude variation with azimuth methods have a huge advantage in predicting small-scale fractures. However, the technique of using post-stack seismic data to predict fractures has rarely been investigated, with the main limiting factor being the degradation of resolution due to the stacking process, which makes it difficult to effectively identify small fractures. With the exploration and development of oil and gas fields entering into deeper levels, the traditional post-stack fracture prediction techniques often fail to meet the requirements of fine development. In this study, we propose a post-stack fracture enhancement technique based on phase decomposition. The technique advances parity phase decomposition based on the matched pursuit algorithm to extract the dominant phases in the seismic record, and the filtering process is carried out by the bidimensional empirical mode decomposition, which in turn computes the improved post-stack coherence and similarity attributes. Applying this method to 3D seismic datasets in the Sichuan region, the results indicate that the approach improves the seismic data quality and enhances the seismic attribute identification of fractures. The phase decomposition-based post-stack fracture enhancement technique shows significant potential in improving the signal quality of multidimensional seismic features such as texture, dip, and likelihood compared to traditional methods. This new technique provides a new way for fracture detection and characterization using post-stack seismic data, which can help to meet the needs of fine oilfield exploration and development.
Global Models, Victim Disconnect and Demands for International Intervention: The Dilemma of Decoloniality and Transitional Justice in Sri Lanka
Authors: Mihlar Farah 
Published: September 2024

Abstract
This article uses Sri Lanka as a case study to impel engagement of decoloniality with transitional justice. It identifies gaps in the literature critical of transitional justice, specifically structural interpretations of power hierarchies, state-centrism and disregard of ethnicity and religion. It thereby uses a decolonial analytical lens on empirical findings from Sri Lanka’s failed transitional justice process to identify and understand continuing colonial power structures, including epistemic coloniality. The empirical findings offer three new insights. First, an ideational, structural and procedural disconnection between victims and the global transitional justice model is noted. The article traces how victim positioning and this disconnection were disregarded in favour of an internationally authoritative, credible and universal model of transitional justice. Second, the ethno-religious challenges to transitional justice, which include its reliance on the state as a neutral provider of justice, are highlighted. The third finding, however, on victim demands for greater international involvement, presents a dilemma to future decolonial consideration of transitional justice. Despite only using decoloniality as an analytical tool, the article nevertheless demonstrates the need for deeper reform, including at the epistemic level, for transformation to occur within the field.
Survey of complex organic molecules in starless and pre-stellar cores in the Perseus molecular cloud
Authors: Scibelli Samantha , Shirley Yancy , Megías Andrés , Jiménez-Serra Izaskun 
Published: September 2024

ABSTRACT
Cold ($\sim$10 K) and dense ($\sim 10^{5}$ cm$^{-3}$) cores of gas and dust within molecular clouds, known as starless and dynamically evolved pre-stellar cores, are the birthplaces of low-mass (M$\le$ few M$_\odot$) stars. As detections of interstellar complex organic molecules, or COMs, in starless cores has increased, abundance comparisons suggest that some COMs might be seeded early in the star formation process and inherited to later stages (i.e. protostellar discs and eventually comets). To date observations of COMs in starless cores have been limited, with most detections reported solely in the Taurus molecular cloud. It is therefore still a question whether different environments affect abundances. We have surveyed 35 starless and pre-stellar cores in the Perseus molecular cloud with the Arizona Radio Observatory (ARO) 12 m telescope detecting both methanol, CH$_3$OH, and acetaldehyde, CH$_3$CHO, in 100 per cent and 49 per cent of the sample, respectively. In the sub-sample of 15 cores where CH$_3$CHO was detected at $\gt 3\sigma$ ($\sim$18 mK) with the ARO 12 m, follow-up observations with the Yebes 40 m telescope were carried out. Detections of formic acid, t-HCOOH, ketene, H$_2$CCO, methyl cyanide, CH$_3$CN, vinyl cyanide, CH$_2$CHCN, methyl formate, HCOOCH$_3$, and dimethyl ether, CH$_3$OCH$_3$, are seen in at least 20 per cent of the cores. We discuss detection statistics, calculate column densities, and compare abundances across various stages of low-mass star formation. Our findings have more than doubled COM detection statistics in cold cores and show COMs are prevalent in the gas before star and planet formation in the Perseus molecular cloud.
The rates and host galaxies of pair-instability supernovae through cosmic time: predictions from BPASS and IllustrisTNG
Authors: Briel Max M , Metha Benjamin , Eldridge Jan J , Moriya Takashi J , Trenti Michele 
Published: September 2024

ABSTRACT
Pair-instability supernovae (PISNe) have long been predicted to be the final fates of near-zero-metallicity very massive stars ($Z \lt Z_\odot /3$, M$_\mathrm{ZAMS} \gtrsim 140\, \text{M}_\odot$). However, no definite PISN has been observed to date, leaving theoretical modelling validation open. To investigate the observability of these explosive transients, we combine detailed stellar evolution models for PISNe formation, computed from the binary population and spectral synthesis code suite, bpass, with the star formation history of all individual computational elements in the Illustris-TNG simulation. This allows us to compute comic PISN rates and predict their host galaxy properties. Of particular importance is that IllustrisTNG galaxies do not have uniform metallicities throughout, with metal-enriched galaxies often harbouring metal-poor pockets of gas where PISN progenitors may form. Accounting for the chemical inhomogeneities within these galaxies, we find that the peak redshift of PISNe formation is $z=3.5$ instead of the value of $z=6$ when ignoring chemical inhomogeneities within galaxies. Furthermore, the rate increases by an order of magnitude from 1.9 to 29 PISN Gpc$^{-3}$ yr$^{-1}$ at $z=0$, if the chemical inhomogeneities are considered. Using state-of-the-art theoretical PISN light curves, we find an observed rate of 13.8 (1.2) visible PISNe per year for the Euclid-Deep survey, or 83 (7.3) over the 6-yr lifetime of the mission when considering chemically inhomogeneous (homogenous) systems. Interestingly, only 12 per cent of helium PISN progenitors are sufficiently massive to power a superluminous supernova event, which can potentially explain why PISN identification in time-domain surveys remains elusive and progress requires dedicated strategies.
Understanding the origin of early-type dwarfs: the spectrophotometric study of CGCG014−074
Authors: Guevara N , Escudero C G , Faifer F R 
Published: September 2024

ABSTRACT
Early-type dwarf galaxies constitute a prevalent population in the central regions of rich groups and clusters in the local Universe. These low-luminosity and low-mass stellar systems play a fundamental role in the assembly of the luminous galaxies observed today, according to the Lambda cold dark matter hierarchical theory. The origin of early-type dwarfs has been linked to the transformation of disc galaxies interacting with the intracluster medium, especially in dense environments. However, the existence of low-luminosity early-type galaxies in low-density environments presents a challenge to this scenario. This study presents a comprehensive photometric and spectroscopic analysis of the early-type dwarf galaxy CGCG014−074 using deep Gemini GMOS (Gemini Multi-Object Spectrograph) data, focusing on its peculiarities and evolutionary implications. CGCG014−074 exhibits distinct features, including a rotating inner disc, an extended stellar formation with a quiescent phase since about 2 Gyr ago, and the presence of boxy isophotes. From the kinematic analysis, we confirm CGCG014−074 as a nucleated early-type dwarf galaxy with embedded disc. The study of its stellar population parameters using different methods provides significant insights into the galaxy’s evolutionary history. These results show an old and metal-poor nucleus (${\sim}9.3$ Gyr and $\mathrm{[Z/H]}\sim -0.84$ dex), while the stellar disc is younger (${\sim}4.4$ Gyr) with a higher metallicity ($\mathrm{[Z/H]}\sim -0.40$ dex). These distinctive features collectively position CGCG014−074 as a likely building block galaxy that has evolved passively throughout its history.
Emission-line galaxies at z ∼ 1 from near-IR HST slitless spectroscopy: metallicities, star formation rates, and redshift confirmations from VLT/FORS2 spectroscopy
Authors: Boyett K , Bunker A J , Chevallard J , Battisti A , Henry A L , Wilkins S , Malkan M A , Caruana J , Atek H , Baronchelli I , Colbert J , Dai Y S , Gardner Jonathan P , Rafelski M , Scarlata C , Teplitz H I , Wang X 
Published: September 2024

ABSTRACT
We follow up emission line galaxies identified through the near-infrared slitless HST/WFC3 WISP survey with VLT/FORS2 optical spectroscopy. Over 4 WISP fields, we targeted 85 of 138 line emission objects at $0.4\lt z\lt 2$ identified in WFC3 spectroscopy. Half the galaxies are fainter than $H_{AB}=24$ mag, and would not have been included in many well-known surveys based on broad-band magnitude selection. We confirm 95 per cent of the initial WFC3 grism redshifts in the 38 cases where we detect lines in FORS2 spectroscopy. However, for targets which exhibited a single emission line in WFC3, up to 65 per cent at $z\lt 1.28$ did not have expected emission lines detected in FORS2 and hence may be spurious (although this false-detection rate improves to 33 per cent using the latest public WISP emission line catalogue). From the Balmer decrement, the extinction of the WISP galaxies is consistent with $A($H $\alpha)=1$ mag. From SED fits to multiband photometry including Spitzer$3.6\, \mu$m, we find a median stellar mass of $\log _{10}(M_\star /{\rm M}_{\odot })=8.94$. Our emission-line-selected galaxies tend to lie above the star-forming main sequence (i.e. higher specific star formation rates). Using [O iii], [O ii], and H β lines to derive gas-phase metallicities, we find typically sub-solar metallicities, decreasing with redshift. Our WISP galaxies lie below the $z=0$ mass–metallicity relation, and galaxies with higher star formation rates tend to have lower metallicity. Finally, we find a strong increase with redshift of the H α rest-frame equivalent width in this emission-line selected sample, with higher $EW_0$ galaxies having larger [O iii]/H β and O32 ratios on average, suggesting lower metallicity or higher ionization parameter in these extreme emission line galaxies.
Ultra-broadband near-field Josephson microwave microscopy
Authors: Zhang Ping , Lyu Yang-Yang , Lv Jingjing , Wei Zihan , Chen Shixian , Wang Chenguang , Du Hongmei , Li Dingding , Wang Zixi , Hou Shoucheng , Su Runfeng , Sun Hancong , Du Yuan , Du Li , Gao Liming , Wang Yong-Lei , Wang Huabing , Wu Peiheng 
Published: September 2024

ABSTRACT
Advanced microwave technologies constitute the foundation of a wide range of modern sciences, including microwave integrated circuits, quantum computing, microwave photonics, spintronics, etc. To facilitate the design of chip-based microwave devices, there is an increasing demand for state-of-the-art microscopic techniques that are capable of characterizing near-field microwave distribution and performance. In this work, we integrate Josephson junctions onto a nanosized quartz tip, forming a highly sensitive microwave mixer on-tip. This allows us to conduct spectroscopic imaging of near-field microwave distributions with high spatial resolution. By leveraging its microwave-sensitive characteristics, our Josephson microscopy achieves a broad detecting bandwidth of ≤200 GHz, as well as remarkable frequency and intensity resolutions. Near-field characterizations of microwave circuits are also conducted to demonstrate the capabilities of Josephson microscopy. Our work emphasizes the benefits of utilizing Josephson microscopy as a real-time, non-destructive technique to advance integrated microwave devices.
Disease-associated microbiome signature species in the gut
Authors: Li Junhui , O’Toole Paul W 
Published: September 2024

Abstract
There is an accumulation of evidence that the human gut microbiota plays a role in maintaining health, and that an altered gut microbiota (sometimes called dysbiosis) associates with risk for many noncommunicable diseases. However, the dynamics of disease-linked bacteria in the gut and other body sites remain unclear. If microbiome alterations prove causative in particular diseases, therapeutic intervention may be possible. Furthermore, microbial signature taxa have been established for the diagnosis of some diseases like colon cancer. We identified 163 disease-enriched and 98 disease-depleted gut microbiome signature taxa at species-level resolution (signature species) from 10 meta-analyses of multiple diseases such as colorectal cancer, ulcerative colitis, Crohn's disease, irritable bowel syndrome, pancreatic cancer, and COVID-19 infection. Eight signature species were enriched and nine were depleted across at least half of the diseases studied. Compared with signature species depleted in diseases, a significantly higher proportion of disease-enriched signature species were identified as extra-intestinal (primarily oral) inhabitants, had been reported in bacteremia cases from the literature, and were aerotolerant anaerobes. These findings highlight the potential involvement of oral microbes, bacteremia isolates, and aerotolerant anaerobes in disease-associated gut microbiome alterations, and they have implications for patient care and disease management.
Effectiveness of probabilistic contact tracing in epidemic containment: The role of superspreaders and transmission path reconstruction
Authors: Muntoni Anna Paola , Mazza Fabio , Braunstein Alfredo , Catania Giovanni , Dall’Asta Luca 
Published: September 2024

Abstract
The recent COVID-19 pandemic underscores the significance of early stage nonpharmacological intervention strategies. The widespread use of masks and the systematic implementation of contact tracing strategies provide a potentially equally effective and socially less impactful alternative to more conventional approaches, such as large-scale mobility restrictions. However, manual contact tracing faces strong limitations in accessing the network of contacts, and the scalability of currently implemented protocols for smartphone-based digital contact tracing becomes impractical during the rapid expansion phases of the outbreaks, due to the surge in exposure notifications and associated tests. A substantial improvement in digital contact tracing can be obtained through the integration of probabilistic techniques for risk assessment that can more effectively guide the allocation of diagnostic tests. In this study, we first quantitatively analyze the diagnostic and social costs associated with these containment measures based on contact tracing, employing three state-of-the-art models of SARS-CoV-2 spreading. Our results suggest that probabilistic techniques allow for more effective mitigation at a lower cost. Secondly, our findings reveal a remarkable efficacy of probabilistic contact-tracing techniques in performing backward and multistep tracing and capturing superspreading events.
The relationship between REM sleep prior to analog trauma and intrusive memories
Authors: Alkalame Lawra , Ogden Jessica , Clark Jacob W , Porcheret Kate , Risbrough Victoria B , Drummond Sean P A 
Published: September 2024

Abstract
Intrusive memories are a common experience following trauma exposure but can develop into a symptom of posttraumatic stress disorder (PTSD). Recent research has observed a relationship between sleep disturbance and intrusive memory frequency following analog trauma exposure and disruptions in rapid eye movement (REM) sleep are found to contribute to emotional dysregulation and an amplified reaction to negative emotional stimuli. The current study examined the association between REM sleep prior to analog trauma and intrusive memories. To manipulate REM sleep, 27 healthy adults (MAge = 25.4, standard deviation = 2.89) were randomized to either a circadian misalignment (CM) condition or normal control (NC) condition for 4 nights. In CM, participants slept normally for 2 nights followed by a 4-hour phase advance on night 3 and an additional 4-hour phase advance on night 4. In NC, participants had 8-hour sleep opportunities each night. On day 5, participants watched a trauma film and kept an intrusive memory diary for the next 3 days. Greater REM sleep percentage (p = .004) and REM efficiency (p = .02) across 4 nights prior to analog trauma, independent of the group, were significantly associated with fewer intrusive memories in the 3 days after viewing the film. Findings suggest REM sleep may serve to protect individuals against experiencing intrusive memories. This is consistent with evidence suggesting REM sleep influences emotional memory regulation. Occupations (e.g. emergency services/military personnel) who experience circadian disruptions likely to decrease REM sleep (e.g. from shift work) may be at heightened risk of experiencing intrusive memories after trauma exposure, and thus at increased risk of developing PTSD.
Identifying implementation barriers and facilitators in an integrated behavioral health training program to improve workforce development
Authors: Callejas Linda M , Scarimbolo Katrina , Chou Chih-Chin , Hammond Kelly , Agazzi Heather 
Published: September 2024

Abstract
Integrated behavioral health (IBH) in pediatric primary care settings can improve access to needed care and outcomes. Behavioral Health Workforce Education and Training (BHWET) programs can better prepare the workforce and support improved care access. This case study identified factors that impede and facilitate the implementation of practice-based training in a BHWET program using the Exploration, Preparation, Implementation, Sustainment (EPIS) framework. Surveys were administered to BHWET trainees and primary care partners to assess stakeholder perspectives on field-based training processes. Qualitative data were extracted from surveys and trainee clinical logs. Providers reported high levels of satisfaction with IBH care training experiences. Data analysis identified several implementation facilitators and barriers. Implementation facilitators were associated with two EPIS outer context factors (leadership and collaboration) and one inner context factor (partner staffing). Identified barriers were associated with two inner context factors (organizational characteristics and data collection). Although the facilitators and barriers identified in this study were program specific, they have relevance for similar programs. Barriers identified at the organizational level reflect those identified in the research literature and provide insights for university programs regarding factors that must be considered when integrating IBH training components in primary care settings.
Deficiency of geranylgeranyl biphosphate synthase in kidney tubules causes cystic kidney disease
Authors: Shao Xiaoyan , Wang Kai , Wu Jing , Ma Xiaopen , Zhao Yinjuan , Xu Tao , Dai Chunsun , Zhang Furong , Wang Yuqi , Ren Xianguo , Lu Ke , Yin Zicheng , Guo Baosheng , Cao Changchun , Xu Xianlin , Xue Bin 
Published: September 2024

AbstractPolycystic kidney disease (PKD) is a common hereditary kidney disease. Although PKD occurrence is associated with certain gene mutations, its onset regulatory mechanisms are still not well understood. Here, we first report that the key enzyme geranylgeranyl diphosphate synthase (GGPPS) is specifically expressed in renal tubular epithelial cells of mouse kidneys. We aimed to explore the role of GGPPS in PKD. In this study, we established a Ggppsfl/fl:Cdh16cre mouse model and compared its phenotype with that of wild‐type mice. A Ggpps‐downregulation HK2 cell model was also used to further determine the role of GGPPS. We found that GGPPS was specifically expressed in renal tubular epithelial cells of mouse kidneys. Its expression also increased with age. Low GGPPS expression was observed in human ADPKD tissues. In the Ggppsfl/fl:Cdh16cre mouse model, Ggpps deletion in renal tubular epithelial cells induced the occurrence and development of renal tubule cystic dilation and caused the death of mice after birth due to abnormal renal function. Enhanced proliferation of cyst‐lining epithelial cells was also observed after the knockout of Ggpps. These processes were related to the increased rate of Rheb on membrane/cytoplasm and hyperactivation of mTORC1 signaling. In conclusion, the deficiency of GGPPS in kidney tubules induced the formation of renal cysts. It may play a critical role in PKD pathophysiology. A novel therapeutic strategy could be designed according to this work.