bluuebunny/crossref_metadata_2025_split huggingface dataset:
Entanglement and Chaos near critical point in strongly coupled Gauge theory
Authors: Karan Debanjan , Pant Sanjay 
Published: February 2024

AbstractWe perform a holographic study of the high and low temperature behaviours of logarithmic negativity (LN) and entanglement wedge cross section (EWCS) in a large N strongly coupled thermal field theory with critical point, having a well defined gravity dual known as 1RC black hole. The bulk theory accommodates a dimensionless parameter $$\xi $$
ξ
, proportional to the charge of the 1RC black hole. Holographically, $$\xi \rightarrow 2$$

ξ
→
2

limit ensures an existence of a critical point in the dual boundary theory. We show that the logarithmic negativity in low and high temperature limits enhances with increasing $$\xi $$
ξ
. We analytically compute the EWCS in low and high temperature limits and find an agreement with the previously reported numerical results. We holographically explore the correlation between two identical copies of thermal field theory with critical point forming a thermofield double state (TFD) by computing the thermo mutual information (TMI). TMI shows an increasing behaviour with respect to the width of the boundary region. Furthermore, we study the chaotic behaviour of the field theory by analyzing a shock wave in the dual eternal 1 RC black hole and then estimate the degradation of TMI. The rate of such disruption of TMI slows down as the value of critical parameter $$\xi $$
ξ
takes higher values.
Antibody–Drug Conjugates: Advancing from Magic Bullet to Biological Missile
Authors: Veneziani Ana C. , Sneha Suku , Oza Amit M. 
Published: February 2024

SummaryPrecision drug development is focusing on targeting tumor cell surface proteins for therapeutic delivery, maximizing biomarker identified on-target damage to the tumor while minimizing toxicity. A recent article demonstrated high expression of B7-H4 antigen on resistant ovarian cancer cells and described preclinical activity of B7-H4–directed antibody–drug conjugate.See related article by Gitto et al., p. 1567
Large-scale text analysis using generative language models: A case study in discovering public value expressions in AI patents
Authors: Pelaez Sergio , Verma Gaurav , Ribeiro Barbara , Shapira Philip 
Published: February 2024

Abstract
We put forward a novel approach using a generative language model (GPT-4) to produce labels and rationales for large-scale text analysis. The approach is used to discover public value expressions in patents. Using text (5.4 million sentences) for 154,934 US AI patent documents from the United States Patent and Trademark Office (USPTO), we design a semi-automated, human-supervised framework for identifying and labeling public value expressions in these sentences. A GPT-4 prompt is developed that includes definitions, guidelines, examples, and rationales for text classification. We evaluate the labels and rationales produced by GPT-4 using BLEU scores and topic modeling, finding that they are accurate, diverse, and faithful. GPT-4 achieved an advanced recognition of public value expressions from our framework, which it also uses to discover unseen public value expressions. The GPT-produced labels are used to train BERT-based classifiers and predict sentences on the entire database, achieving high F1 scores for the 3-class (0.85) and 2-class classification (0.91) tasks. We discuss the implications of our approach for conducting large-scale text analyses with complex and abstract concepts. With careful framework design and interactive human oversight, we suggest that generative language models can offer significant assistance in producing labels and rationales.
The Post-Ongwen Case Period and the Reconciliation Process in Northern Uganda: Local Communities as a Site of Knowledge
Authors: Molima Bameka Christelle 
Published: February 2024

Abstract
By providing victims with more space in the Ongwen case, the International Criminal Court (icc) has significantly contributed to the healing of the trauma and community reconciliation in northern Uganda. That said, this court has also raised issues that could affect local efforts to achieve peace, namely the positioning of victims of child soldiers vis-à-vis criminal child soldiers. Drawing on qualitative data collected through focus group discussions with some community members from locations under investigation by the icc, this sociolegal study examines the victims’ narratives about child soldiers and the different ideas of human rights that emerge. Then, it explores how these ideas may shape future transitional justice mechanisms designed in the global sphere. Finally, it discusses the extent to which they may impact the relevance of current justice initiatives. Overall, this paper analyzes the substantive effect of victim participation in the Ongwen case on local peacebuilding initiatives in northern Uganda.
Defining and reporting exercise intensity in interventions for older adults: a modified Delphi process
Authors: Wollesen Bettina , Herden Mona , Lamberti Nicola , Giannaki Christoforos D. 
Published: February 2024

Abstract
Background
Many exercise studies, including older adults, do not report all relevant exercise characteristics. Especially the description of exercise intensity is missing and mostly not controlled. This leads to difficulties in interpreting study results and summarizing the evidence in systematic reviews or meta-analyses. Therefore, the aim of the present Delphi study was to gain recommendations about the categorization of exercise intensity and for the conducting and reporting of characteristics in future intervention studies with older adults by experts in exercise science and physiology.

Methods
Two hundred ninety-seven international interdisciplinary participants from an EU COST action were invited to participate in three rounds of online questionnaires in April/May 2023. Up to N = 93 experts participated in each round. Round 1 included open-ended questions to solicit possible recommendations and categorizations for light, moderate, vigorous, and high intensity. In round 2, the experts rated their agreement using Likert scales (1–10) on the revealed categories and recommendations. Clusters with a higher average rating of M = 8.0 were summarized into round 3. In the final round, the results were presented for a final rating of agreement (based on a simple majority > 50%).

Results
In round 1 a total of 416 qualitative statements were provided from thirteen questions. From round 1 to round 3, a total of 38 items were excluded, with 205 items retained for the final consensus. In round three 37 participants completed the whole questionnaire. The experts showed overall agreement on the final categorizations with 6.7 to 8.8 out of 10 points on the Likert scale. They also showed broad consensus on the relevance of reporting exercise intensity and the recommendations for future conducting and reporting of study results. However, exercise types such as yoga, balance, and coordination training led to conflicting results for categorization into light or moderate.

Discussion and implications
The results of the current survey can be used to classify the intensity of exercise and suggest a practical approach that can be adopted by the scientific community and applied when conducting systematic reviews and meta-analysis articles when vital and objective information regarding exercise intensity is lacking from the original article.
EV-share development: speed vs interest to adopt
Authors: Viri Riku , Mäkinen Johanna 
Published: February 2024

AbstractTransport is a notable source of greenhouse gas emissions. While the mobility habits of people have an effect on a large share of the emissions, the development of the car fleet also plays a major role. In this study, Finnish SALAMA-model is used to calculate nine different scenarios, examining how changes in both the car fleet turnover speed and interest towards electric vehicles (EVs) affect the amount of EVs and total emissions from the passenger cars in Finland up to the year 2040. With the baseline scenario (normal interest and car fleet turnover speed) 28% of cars in use would be EVs (total of PHEVs and BEVs) by 2030. In contrast, scenario with higher interest and faster turnover suggest that nearly half of all cars could be EVs. When focusing on CO2 emissions, only the scenario with the fastest turnover speed with high interest aligns with the Finnish targets for 2030. Thus, car fleet development is only a part of the emission reduction, and other measures are also needed. Based on the results, it should be noted that even though many current and past policies are often focused on increasing interest towards EVs, any solutions driving faster turnover of the car fleet would also significantly impact emission reduction.
Ecological and phylogenetic aspects of the spring diet of three palaearctic species of swans
Authors: Kouzov Sergei A. , Kravchuk Anna V. , Koptseva Elena M. , Gubelit Yulia I. , Zaynagutdinova Elmira M. , Abakumov Evgeny V. 
Published: February 2024

AbstractThe quality of swans' nutrition at spring migration stopovers is important for their successful breeding. It is of great interest to study the differences in nutrition of different swan species when sharing the same habitat. Microscopic analysis of Cygnus olor, C. cygnus, and C. columbianus bewickii feces collected in the eastern part of the Gulf of Finland in February-April 2014–2019 was performed. We measured food preferences of the three swan species using non-metric multidimensional scaling (NMDS). The width and overlap of dietary niches were also calculated. The diet of C. olor consists almost entirely of soft submerged aquatic vegetation, mainly macroalgae. Samples of the other two species except macroalgae contained large amounts of young shoots and roots of rigid semi-submerged and coastal vegetation. The dietary niche of C. cygnus is the most isolated because it is dominated by thick rhizomes of Phragmites australis, which are hardly used by other swan species. The diet of Bewick’s swans was similar in many respects to that of the Mute swan, but Bewick’s swans much more often preferred vegetative parts of submerged and semi-submerged plants, such as Stuckenia pectinata, Potamogeton perfoliatus, Sparganium sp., Nuphar lutea, and others. Notably, the dietary niches of Mute swan and Whooper swan overlapped as much as possible in February March during a period of severe food shortage, in contrast to later periods in spring when food was more abundant and varied. In general, differences in diets are well explained by differences in the morphology of birds. Comparison of tarsometatarsus indices shows that C. olor is the most water-related species. C. olor has the longest neck and its beak has the strongest filter features, whereas beaks of the other two species shows noticeable “goose-like grazing” features. Moreover, C. Cygnus has the most powerful beak. These features are due to the history of species. The formation of C. olor occurred during the Miocene-Pliocene of the Palaearctic in the warm eutrophic marine lagoons of the Paratethys with abundant soft submerged vegetation. The evolution of C. cygnus and C. c. bewickii took place in Pleistocene. At that time, periglacial and thermokarst water bodies on permafrost became widespread in the Palearctic, as well as dystrophic peat lakes with much poorer submerged aquatic vegetation, but well-developed coastal and semi-submerged vegetation.
DendroX: multi-level multi-cluster selection in dendrograms
Authors: Feng Feiling , Duan Qiaonan , Jiang Xiaoqing , Kao Xiaoming , Zhang Dadong 
Published: February 2024

Abstract
Background
Cluster heatmaps are widely used in biology and other fields to uncover clustering patterns in data matrices. Most cluster heatmap packages provide utility functions to divide the dendrograms at a certain level to obtain clusters, but it is often difficult to locate the appropriate cut in the dendrogram to obtain the clusters seen in the heatmap or computed by a statistical method. Multiple cuts are required if the clusters locate at different levels in the dendrogram.

Results
We developed DendroX, a web app that provides interactive visualization of a dendrogram where users can divide the dendrogram at any level and in any number of clusters and pass the labels of the identified clusters for functional analysis. Helper functions are provided to extract linkage matrices from cluster heatmap objects in R or Python to serve as input to the app. A graphic user interface was also developed to help prepare input files for DendroX from data matrices stored in delimited text files. The app is scalable and has been tested on dendrograms with tens of thousands of leaf nodes. As a case study, we clustered the gene expression signatures of 297 bioactive chemical compounds in the LINCS L1000 dataset and visualized them in DendroX. Seventeen biologically meaningful clusters were identified based on the structure of the dendrogram and the expression patterns in the heatmap. We found that one of the clusters consisting of mostly naturally occurring compounds is not previously reported and has its members sharing broad anticancer, anti-inflammatory and antioxidant activities.

Conclusions
DendroX solves the problem of matching visually and computationally determined clusters in a cluster heatmap and helps users navigate among different parts of a dendrogram. The identification of a cluster of naturally occurring compounds with shared bioactivities implicates a convergence of biological effects through divergent mechanisms.
Tmem119 expression is downregulated in a subset of brain metastasis-associated microglia
Authors: Ma Weili , Oswald Jack , Rios Angulo Angela , Chen Qing 
Published: February 2024

AbstractUnder pathological conditions, the immune-specialized brain microenvironment contains both resident microglia and bone marrow-derived myeloid cells recruited from peripheral circulation. Due to largely overlapping phenotypic similarities between these ontogenically distinct myeloid populations, studying their individual functions in central nervous system diseases has been challenging. Recently, transmembrane protein 119 (Tmem119) has been reported as a marker for resident microglia which is not expressed by bone marrow-derived myeloid cells. However, several studies have reported the loss or reduction of Tmem119 expression in pathologically activated microglia. Here, we examined whether Tmem119 could be used as a robust marker to identify brain metastasis-associated microglia. In addition, we also compared Tmem119 expression of primary microglia to the immortalized microglia-like BV2 cell line and characterized expression changes after LPS treatment. Lastly, we used a commercially available transgenic mouse line (Tmem119-eGFP) to compare Tmem119 expression patterns to the traditional antibody-based detection methods. Our results indicate that brain metastasis-associated microglia have reduced Tmem119 gene and protein expression.
Dietary intervention reverses molecular markers of hepatocellular senescence in the GAN diet-induced obese and biopsy-confirmed mouse model of NASH
Authors: Flensted-Jensen Mathias , Oró Denise , Rørbeck Emma A. , Zhang Chen , Madsen Martin Rønn , Madsen Andreas Nygaard , Norlin Jenny , Feigh Michael , Larsen Steen , Hansen Henrik H. 
Published: February 2024

Abstract
Background
Hepatocellular senescence may be a causal factor in the development and progression of non-alcoholic steatohepatitis (NASH). The most effective currently available treatment for NASH is lifestyle intervention, including dietary modification. This study aimed to evaluate the effects of dietary intervention on hallmarks of NASH and molecular signatures of hepatocellular senescence in the Gubra-Amylin NASH (GAN) diet-induced obese (DIO) and biopsy-confirmed mouse model of NASH.

Methods
GAN DIO-NASH mice with liver biopsy-confirmed NASH and fibrosis received dietary intervention by switching to chow feeding (chow reversal) for 8, 16 or 24 weeks. Untreated GAN DIO-NASH mice and chow-fed C57BL/6J mice served as controls. Pre-to-post liver biopsy histology was performed for within-subject evaluation of NAFLD Activity Score and fibrosis stage. Terminal endpoints included blood/liver biochemistry, quantitative liver histology, mitochondrial respiration and RNA sequencing.

Results
Chow-reversal promoted substantial benefits on metabolic outcomes and liver histology, as demonstrated by robust weight loss, complete resolution of hepatomegaly, hypercholesterolemia, elevated transaminase levels and hepatic steatosis in addition to attenuation of inflammatory markers. Notably, all DIO-NASH mice demonstrated ≥ 2 point significant improvement in NAFLD Activity Score following dietary intervention. While not improving fibrosis stage, chow-reversal reduced quantitative fibrosis markers (PSR, collagen 1a1, α-SMA), concurrent with improved liver mitochondrial respiration, complete reversal of p21 overexpression, lowered γ-H2AX levels and widespread suppression of gene expression markers of hepatocellular senescence.

Conclusions
Dietary intervention (chow reversal) substantially improves metabolic, biochemical and histological hallmarks of NASH and fibrosis in GAN DIO-NASH mice. These benefits were reflected by progressive clearance of senescent hepatocellular cells, making the model suitable for profiling potential senotherapeutics in preclinical drug discovery for NASH.
Listen to the voices of nurses: the role of community chief nurses and registered nurses in the provision of care for older people in Sweden during the COVID-19 pandemic – a cross-sectional study
Authors: Swall Anna , Hammar Lena Marmstål , Boström Anne-Marie 
Published: February 2024

Abstract
Background
During the pandemic in Sweden, the aim was to protect older people, especially those among them who were sick, frail and vulnerable in residential care facilities. A ban was put on visits at all residential care facilities in March 2020 to prevent the spread of infection among the older people. This study aims to describe the experiences of Community Chief Nurses and Registered Nurses who provided medical and nursing care for older people in residential care facilities and home care during the first wave of the COVID-19 pandemic, and to examine factors associated with the quality of care.

Methods
The study has a mixed method cross-sectional design (STROBE). Data were collected using a web-based survey that comprised two questionnaires, for Community Chief Nurses and Registered Nurses developed for the study. Data were analysed using descriptive statistics and logistic regression models, as well as qualitative content analyses.

Results
The majority of Community Chief Nurses reported adequate opportunities to work with management to handle the COVID-19 pandemic. The Registered Nurses reported that the quality of care, as well as the person’s safety, was negatively affected during the pandemic. Factors associated with good care were as follows: information-sharing; ability to comply with hygiene practices; competence in how to care for older persons with COVID-19; a physician at bedside assessing their health; and support from frontline managers.

Conclusion
The study highlights crucial facets that care organizations must address to enhance their readiness for future pandemics or disasters, ensuring the security and well-being of the older people.
Risk factors for diagnosis and treatment delay among patients with multidrug-resistant tuberculosis in Hunan Province, China
Authors: Akalu Temesgen Yihunie , Clements Archie C. A. , Gebreyohannes Eyob Alemayehu , Xu Zuhui , Bai Liqiong , Alene Kefyalew Addis 
Published: February 2024

Abstract
Background
Multidrug-resistant tuberculosis (MDR-TB) is a global health threat associated with high morbidity and mortality rates. Diagnosis and treatment delays are associated with poor treatment outcomes in patients with MDR-TB. However, the risk factors associated with these delays are not robustly investigated, particularly in high TB burden countries such as China. Therefore, this study aimed to measure the length of diagnosis and treatment delays and identify their risk factors among patients with MDR-TB in Hunan province.

Methods
A retrospective cohort study was conducted using MDR-TB data from Hunan province between 2013 and 2018. The main outcomes of the study were diagnosis and treatment delay, defined as more than 14 days from the date of symptom to diagnosis confirmation (i.e., diagnosis delay) and from diagnosis to treatment commencement (i.e., treatment delay). A multivariable logistic regression model was fitted, and an adjusted odds ratio (AOR) with a 95% confidence interval (CI) was used to identify factors associated with diagnosis and treatment delay.

Results
In total, 1,248 MDR-TB patients were included in this study. The median length of diagnosis delays was 27 days, and treatment delays were one day. The proportion of MDR-TB patients who experienced diagnosis and treatment delay was 62.82% (95% CI: 60.09–65.46) and 30.77% (95% CI: 28.27–33.39), respectively. The odds of experiencing MDR-TB diagnosis delay among patients coming through referral and tracing was reduced by 41% (AOR = 0.59, 95% CI: 0.45–0.76) relative to patients identified through consultations due to symptoms. The odds of experiencing diagnosis delay among ≥ 65 years were 65% (AOR = 0.35, 0.14–0.91) lower than under-15 children. The odds of developing treatment delay among foreign nationalities and people from other provinces were double (AOR = 2.00, 95% CI: 1.31–3.06) compared to the local populations. Similarly, the odds of experiencing treatment delay among severely ill patients were nearly 2.5 times higher (AOR = 2.49, 95% CI: 1.41–4.42) compared to patients who were not severely ill. On the other hand, previously treated TB cases had nearly 40% (AOR = 0.59, 95% CI: 0.42–0.85) lower odds of developing treatment delay compared with new MDR-TB cases. Similarly, other ethnic minority groups had nearly 40% (AOR = 0.57, 95% CI: 0.34–0.96) lower odds of experiencing treatment delay than the Han majority.

Conclusions
Many MDR-TB patients experience long diagnosis and treatment delays in Hunan province. Strengthening active case detection can significantly reduce diagnosis delays among MDR-TB patients. Moreover, giving attention to patients who are new to MDR-TB treatment, are severely ill, or are from areas outside Hunan province will potentially reduce the burden of treatment delay among MDR-TB patients.
Persistent trigeminal artery in a patient with moyamoya disease:a case report and literature review
Authors: Sun Tao , Huang Lixin , Sun Jun , Wu Zhimin , Chen Chuan , Wang Hui 
Published: February 2024

Abstract
Backgrounds
Persistent trigeminal artery (PTA) is a rare anastomosis between internal carotid artery (ICA) and basilar artery. In rare conditions, the PTA could be combined with others cerebrovascular anomalies, moyamoya disease (MMD) is one of them.

Case presentation
Here, we reported one rare case of MMD associated with PTA, the patient admitted to our department for severe dizziness and headache, imaging examination suggested MMD combined with right PTA, which arising from the ipsilateral cavernous portion of ICA. The patient received phased bilaterral revascularization with no any complication. In the subsequent follow-up, the patient’s symptoms and intracranial vascular condition gradually improved. Moreover, we conducted a literature review of coexistence of PTA and MMD, the results of a web of science regarding such condition, and a deep discussion providing brief insight into the status of co-occurrence of PTA and MMD, including its manifestation, treatment and outcome.

Conclusions
The coexistence of PTA and MMD was rarely reported, the pathogenesis of such condition remains unknown. We found that the features of the coexistence of PTA and MMD were diverse, revascularization might be a feasible for such patient.