bluuebunny/crossref_metadata_2025 huggingface dataset:
The disease burden of pediatric patients with atopic dermatitis in Japan
Authors: Ohya Yukihiro , Saeki Hidehisa , Nawata Hisakatsu , Arima Kazuhiko , Inukai Miho , Rossi Ana B. , Le‐Bagousse‐Bego Gaelle
Published: August 2023

Background

Atopic dermatitis (AD) is a chronic skin condition that is associated with significant patient burden and decreased health‐related quality of life (HRQoL). We report results of the real‐world Epidemiology of Children with Atopic Dermatitis Reporting on their Experience study in Japanese pediatric patients, focusing on the impact of AD severity on disease burden.

Methods

Children and adolescents aged 6 months to 17 years (or their caregivers/parents) completed an online survey between September 26, 2018, and March 5, 2019. Patients with diagnosed AD (i.e., met International Study of Asthma and Allergies in Childhood criteria and had a self‐reported AD diagnosis) were evaluated for disease severity using the Patient‐Oriented Eczema Measure (POEM). Impact of AD severity on AD symptoms (itching, pain, and sleep disturbance), disease flares, atopic comorbidities, healthcare resource utilization, school days missed, and HRQoL were assessed.

Results

Of 5702 Japanese pediatric patients, 547 had diagnosed AD and were included in this analysis. Based on POEM scores, AD severity was clear/mild in 346 patients (63.3%), moderate in 177 (32.5%), and severe in 24 (4.4%). Across all age groups (i.e., less than 6, 6–11, and 12–17 years), increased AD severity was associated with increased AD symptom severity, number of flares, atopic comorbidities, healthcare resource utilization, and school absences, as well as worsened HRQoL.

Conclusions

This population‐based study of Japanese children and adolescents showed that greater AD severity had a high impact on disease burden.
XPS Al Kα and high energy x-ray photoelectron spectroscopy (HAXPES) Cr Kα measurement of bulk boron
Authors: Zborowski C. , Vanleenhove A. , Hoflijk I. , Vaesen I. , Artyushkova K. , Conard T.
Published: August 2023

Bulk boron was analyzed using both XPS and high-resolution high energy x-ray photoelectron spectroscopy. The spectra of boron obtained using monochromatic Al Kα radiation include survey scan and high-resolution spectra of B 1s, O 1s, N 1s, C 1s, and Ar 2p. The Cr Kα spectra with radiation at 5414.8 eV include survey scan and high-resolution spectra of B 1s, O 1s, N 1s, C 1s, Ar 2p, and Ar 1s.
High-energy x-ray photoelectron spectroscopy Cr Kα measurement of bulk iron
Authors: Zborowski C. , Vanleenhove A. , Hoflijk I. , Vaesen I. , Artyushkova K. , Conard T.
Published: August 2023

Iron was analyzed using high-resolution high-energy x-ray photoelectron Spectroscopy (HAXPES). The HAXPES spectra of iron obtained using monochromatic Cr Kα radiation at 5414.8 eV include survey scan and high-resolution spectra of Fe 2s, Fe 2p, Fe 3s, and Fe 3p.
Broadening a SARS-CoV-1–neutralizing antibody for potent SARS-CoV-2 neutralization through directed evolution
Authors: Zhao Fangzhu , Yuan Meng , Keating Celina , Shaabani Namir , Limbo Oliver , Joyce Collin , Woehl Jordan , Barman Shawn , Burns Alison , Tran Quoc , Zhu Xueyong , Ricciardi Michael , Peng Linghang , Smith Jessica , Huang Deli , Briney Bryan , Sok Devin , Nemazee David , Teijaro John R. , Wilson Ian A. , Burton Dennis R. , Jardine Joseph G.
Published: August 2023

The emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) underscores the need for strategies to rapidly develop neutralizing monoclonal antibodies that can function as prophylactic and therapeutic agents and to help guide vaccine design. Here, we demonstrate that engineering approaches can be used to refocus an existing antibody that neutralizes one virus but not a related virus. Through a rapid affinity maturation strategy, we engineered CR3022, a SARS-CoV-1–neutralizing antibody, to bind to the receptor binding domain of SARS-CoV-2 with >1000-fold increased affinity. The engineered CR3022 neutralized SARS-CoV-2 and provided prophylactic protection from viral challenge in a small animal model of SARS-CoV-2 infection. Deep sequencing throughout the engineering process paired with crystallographic analysis of engineered CR3022 elucidated the molecular mechanisms by which the antibody can accommodate sequence differences in the epitopes between SARS-CoV-1 and SARS-CoV-2. This workflow provides a blueprint for the rapid broadening of neutralization of an antibody from one virus to closely related but resistant viruses.
Bypassing ACE2
Authors: Foley John F.
Published: August 2023

SARS-CoV-2 binds to a lysosomal transmembrane protein to enter cells independently of ACE2.
Genome sequence of a multidrug-resistant
Pseudomonas aeruginosa
strain isolated from a dairy cow that was nonresponsive to antibiotic treatment
Authors: Dassanayake Rohana P. , Ma Hao , Casas Eduardo , Lippolis John D.
Published: August 2023

We report the draft genome sequence of a multidrug-resistant
Pseudomonas aeruginosa
strain isolated from a Holstein cow with chronic mastitis. The assembled genome contained 108 contigs with an
N
50
of 130,886 bp, 66.03% GC content, 6,214 protein-coding genes, 64 RNA genes, 88 pseudogenes, and six antibiotic-resistant genes.
The RNA-binding protein RBP42 regulates cellular energy metabolism in mammalian-infective
Trypanosoma brucei
Authors: Das Anish , Liu Tong , Li Hong , Husain Seema
Published: August 2023

RNA-binding proteins (RBPs) are key players in coordinated post-transcriptional regulation of functionally related genes, defined as RNA regulons. RNA regulons play particularly critical roles in parasitic trypanosomes, which exhibit unregulated co-transcription of long unrelated gene arrays. In this report, we present a systematic analysis of an essential RBP, RBP42, in the mammalian-infective bloodstream form of African trypanosome and show that RBP42 is a key regulator of parasite’s central carbon and energy metabolism. Using individual-nucleotide resolution UV cross-linking and immunoprecipitation to identify genome-wide RBP42-RNA interactions, we show that RBP42 preferentially binds within the coding region of mRNAs encoding core metabolic enzymes. Global quantitative transcriptomic and proteomic analyses reveal that loss of RBP42 reduces the abundance of target mRNA-encoded proteins, but not target mRNA, suggesting a positive translational regulatory role of RBP42. Significant changes in central carbon metabolic intermediates, following loss of RBP42, further support its critical role in cellular energy metabolism.

Trypanosoma brucei
infection, transmitted through the bite of blood-feeding tsetse flies, causes deadly diseases in humans and livestock. This disease, if left untreated, is almost always fatal. Existing therapies are toxic and difficult to administer. During
T. brucei’s
lifecycle in two different host environments, the parasite progresses through distinctive life stages with major morphological and metabolic changes, requiring precise alteration of parasite gene expression program. In the absence of regulated transcription, post-transcriptional processes mediated by RNA-binding proteins play critical roles in
T. brucei
gene regulation. In this study, we show that the RNA-binding protein RBP42 plays crucial roles in cellular energy metabolic regulation of this important human pathogen. Metabolic dysregulation observed in RBP42 knockdown cells offers a breadth of potential interest to researchers studying parasite biology and can also impact research in general eukaryotic biology.
Discovery of an endogenous foamy virus in primitive ruminant chevrotains
Authors: Wang Xiaojing , Cui Jie
Published: August 2023

Foamy viruses (FVs) are a class of complex retroviruses that could lead to persistent infections in specific species. FVs have two evolutionary characteristics: the first is co-evolution with the host, and the second is difficulty going through the endogenization process. To date, in mammals, only a few species (aye-aye, sloths, and cape golden mole) have been found to have endogenous forms of FVs. In this study, we identified a novel endogenous FV named TraEFV in the genomes of two species of even-toed ungulate chevrotain (genus Tragulus, family Tragulidae) known as mouse-deer. Phylogenetic analysis clustered TraEFVs with an exogenous FV isolated from feline but not with those isolated from cow and horse, and such inconsistent virus-host relationships reflect their complex evolutionary history. Interestingly, TraEFVs could be divided into two lineages, suggesting that TraEFV invaded these hosts at least twice during ancient times. Finally, the molecular clock estimates that TraEFV is approximately 20 million years old, suggesting its ancient nature. Our findings enrich the host taxonomy of spumaretroviruses.

IMPORTANCE

Foamy viruses (FV) are complex retroviruses that generally codiverge with their hosts. We identified a novel endogenous FV in the genomes of two mouse-deer species, the first endogenous FV found in Artiodactyla. The phylogenetic inconsistency of viruses and hosts suggested that the viruses might have emerged from cross-species transmission in the past. These findings indicate that ancient FVs may have had a wider range of hosts that remain to be expanded.
Accelerometers of the Meteorological Complex for the Study of the Upper Atmosphere of Mars
Authors: Lipatov A. N. , Ekonomov A. P. , Makarov V. S. , Lesnykh V. A. , Goretov V. A. , Zakharkin G. V. , Zaitsev M. A. , Khlyustova L. I. , Antonenko S. A.
Published: August 2023

The accelerometers and the angular velocity sensor, which are part of the meteorological complex of the ExoMars-2022 landing platform (LP), are designed to measure the acceleration during the deceleration of the lander in the Martian atmosphere. Based on the data, the main parameters of the Martian atmosphere are calculated: density, pressure, and temperature. After landing, the sensors are used to determine the acceleration on the surface and vibration effects on the lander of various nature. The sensors are activated prior to entry into the atmosphere and operate during the entire descent until landing. After landing, a long-term monitoring is carried out to identify vibration effects from the atmosphere and the surface. In the paper we consider the scientific problems solved by the sensors, describe the measurement program and consider in detail the design of the sensors and their characteristics.
Basic Limitations of Self-Organization by the Example of High- and Low-Integrated Very Complex Systems (Mammalian Skeleton Elements and Mammalian Fossil Assemblages): From Empirical Evidence to Theory
Authors: Puzachenko A. Yu.
Published: August 2023

High variety is a characteristic attribute of any material phenomena and processes involving living matter, i.e., very complex systems (VCSs). We have verified the presence of fundamental constraints on the size/shape diversity and self-organization by the example of mammalian skeleton in four orders (41 species). The properties of more than 4700 multidimensional descriptive models of VCSs were studied. A self-organization parameter R (0 ≤ R ≤ 1) was calculated for each model, and its range of variability was mainly limited to the interval from ~0.10 to ~0.31. The concepts of an abstract Ashby regulator and the Shannon–Hartley theorem were used to explain the variation in the empirical data. It has been concluded that there are significant constraints on the quality of morphological diversity regulation and the possible level of self-organization of VCSs for steady states.
Gender differences in job experiences and satisfaction in the forest sector
Authors: Sjølie Hanne K. , Akin Deniz , Lauritzen Tonje
Published: August 2023

The forest sector faces complex societal demands that require a workforce with the desired composition of competence. It is also a primary, rural, and male-dominated industry based on gendered norms and culture. There are knowledge gaps in how gender influences work-related satisfaction and experiences in the forest sector and how women manage to work in male-dominated workplaces. We fill part of these voids by studying job satisfaction and women's strategies using the Norwegian forest sector as a case study. By combining surveys and group interviews, we unveil statistical gender differences and individual experiences. We found that while most men and women are satisfied with the social aspects of the workplace, men are more satisfied than women. Women report considerably less gender equality and more use of suppression techniques than men. Thirty-two percent of the women report being sexually harassed during their most important job position. Being exposed to harassment, most women choose not to report it to management, but instead handle the situation themselves. Forestry is a gendered sector, and to change attitudes for improving the work environment and opportunities for all employees, gender-related issues must be raised and handled in a suitable manner by managers and organizations.
Surjective morphisms from affine space to its Zariski open subsets
Authors: Balch Barth Viktor
Published: August 2023

We prove constructively the existence of surjective morphisms from affine space onto certain open subvarieties of affine space of the same dimension. For any algebraic set [Formula: see text], we construct an endomorphism of [Formula: see text] with [Formula: see text] as its image. By Noether’s normalization lemma, these results extend to give surjective maps from any [Formula: see text]-dimensional affine variety [Formula: see text] to [Formula: see text].
Stability analysis of axial geometry with anisotropic background in f(R,T) gravity
Authors: Bhatti M. Z. , Yousaf Z. , Yousaf M.
Published: August 2023

In this paper, we highlight the variables preserving stability of a very restricted class of anisotropic axial symmetrical compact geometry in the scenario of [Formula: see text] gravity, where [Formula: see text] stands for energy–momentum tensor’s trace and [Formula: see text] is invariant Ricci curvature. In the framework of [Formula: see text] gravity, we set up field equations as well as non-conservation equations. We use a perturbation technique for all variables involved in non-conservation equations, field equations, extra curvature terms of modified gravity as well as for considered gravity model (i.e. [Formula: see text]) to evaluate the collapse equation. We establish certain significant constraints for the stiffness parameter [Formula: see text] in Newtonian [Formula: see text] and post-Newtonian [Formula: see text] approximation to study the dynamical instability of a stellar compact configuration. In order to preserve the stability of an anisotropic self-gravitating axially symmetric configuration, we place certain restrictions on physical quantities. To examine the stable and unstable behavior of considered geometry via graphical approaches, we include schematic diagrams at the [Formula: see text] and [Formula: see text] eras.
New optimized HIT solar cell using wide-bandgap nc-3C-SiC:H as a window layer
Authors: Belhadji Youcef
Published: August 2023

This study focuses on the investigation of HIT solar cell using nanocrystalline hydrogenated cubic silicon carbide (nc-3C-SiC:H) as a window layer. The selection of nc-3C-SiC:H is motivated by its wide bandgap, high electron drift velocity, and exceptional optical, electrical, and structural properties. Employing SCAPS-1D simulator, a comprehensive simulation analysis of thin nc-3C-SiC:H-based solar cell was conducted. By analyzing the current–voltage and quantum efficiency curves, the impact of doping concentration in the window layer was examined, covering a range from [Formula: see text] to [Formula: see text]. A rapid degradation of [Formula: see text] was observed for high doping concentrations. Additionally, the temperature dependence of external DC parameters for the temperatures 273, 300, and 318[Formula: see text]K was explored under AM1.5G and AM1.5D sunlight spectra. The application of two distinct light spectra resulted in the DC parameters exhibiting minimal variation or similarity. The study also took into account the influence of window thickness variation, temperature, and doping concentration. The findings demonstrate a remarkable influence of temperature and doping concentration on the DC parameters. [Formula: see text] value of 30.29[Formula: see text]mA/cm2 was achieved with a 3-nm thickness and an optimal efficiency of 19.48% was registered with a doping concentration of up to [Formula: see text], showcasing the promising potential of nc-3C-SiC:H.
Solitary waves for the nonparaxial nonlinear Schrödinger equation
Authors: Li Dingsi , Manafian Jalil , Ilhan Onur Alp , Alkhayyat Safa , Mahmoud K. H. , Alsalamy Ali , Zeynalli Subhiya M.
Published: August 2023

In this paper, the nonparaxial nonlinear Schrödinger (NNLS) equation by considering its integrability which enables the propagation of ultra-broad nonparaxial beams in a planar optical waveguide is studied. The plenty numbers of solitary wave solutions by using Hirota’s bilinear scheme are found, in addition, the bilinear transformation and also the related theorem for getting to the bilinear form of nonlinear system are considered. Two new simple approaches are implemented to recover periodic wave, bright soliton, singular, and singular soliton for this model. Because of the significance of the NNLS in modeling the propagation of solitons through an optical fiber, the recovered solitons are vital for describing and understanding a variety of fundamental physical processes. The effect of the free parameters on the behavior of acquired figures to a few obtained solutions by providing the feasibility and reliability of the used procedure was also discussed. For more physical illustration and knowledge of the physical characteristics of this equation, some important solutions are discussed graphically in the form of 2D and 3D plots by selecting suitable parameters.
Dynamics of newly created soliton solutions via Atangana–Baleanu Fractional (ABF) for system of (ISALWs) equations
Authors: Abdou M. A. , Ouahid Loubna , Alanazi Meznah M. , Hendi Awatif A. , Kumar Sachin
Published: August 2023

In this work, newly created soliton solutions for ion sound and Langmuir waves with an Atangana–Baleanu fractional (ABF) are given. Symbolic software is used to perform the unified solver method (USM) and Weierstrass elliptic function method (WEFM) in order to solve this model. In terms of hyperbolic functions, extended trigonometric functions, and so forth. Single-wave solutions that were entirely novel and universal were attained. The way the soliton solutions behaved in connection with the two-dimensional (2D) and three-dimensional (3D) graphics was also investigated. The dynamic investigation of the newly created soliton solutions reveals that they have several soliton forms like single-soliton, bell-shaped and mixed-form soliton profiles. This strategy is viewed as promising for handling a range of ABF evolution systems.
The structural, electronic, optical, mechanical and vibrational properties of Te2W with HSE03 functional
Authors: Tse Geoffrey
Published: August 2023

The structural, electronic, optical, mechanical and vibrational properties of hexagonal Di-Tellurium-Tungsten (Te2W) are exploited with a hybrid Heyd–Scuseria–Ernzerhof 2003 (HSE03) functional and semi-local general gradient approximation (GGA) scheme using ab initio density functional theory (DFT) calculations. The structural and electronic properties have been analyzed with the band structure and electron orbitals from the partial density of states (PDOS). Our reflectivity data from optical spectra explain its applications over mechanical engineering such as lubricant oils, further with the fact that the refractive index results obtained suggest the possibility of deploying Te2W material over optical displays. Our work finalizes by testifying the physical and mechanical stability, with our DFT-calculated elastic coefficients along with its criteria, mechanical moduli and phonon data provided. In general, our non-local hybrid functional corrects the band structure and bandgap energy [Formula: see text] extremely well, over the traditional semi-local exchange-correlation functional.
Late Triassic–Jurassic bivalve biochronology, palaeogeography and palaeoenvironment of the Junggar Basin, NW China
Authors: Sha Jingeng , Cheng Jinhui , Wang Yaqiong , Fang Yanan , Li Jiahao , Pan Yanhong
Published: August 2023

The middle Mesozoic of the southern Junggar Basin is a source of abundant Late Triassic–Jurassic non-marine and Early Jurassic marine–littoral bivalves. The bivalve chronology provides a framework for dating the strata and documents Early Jurassic transgressions and the end-Triassic mass extinction in the Junggar Basin. The first occurrences (FOs) and last occurrences (LOs) of
Utschamiella
cf.
tungussica
and
Utschamiella
cf.
obrutschevi
lie in the basal upper Rhaetian. The FOs of
Ferganoconcha sibirica
,
Ferganoconcha subcentralis
,
Unio manasensis
,
Unio mirabilis
and
Waagenoperna
are at, and the FOs of
Margaritifera isfarensis
,
Tutuella rotunda
and
Tutuella chachlovi
adjoin, the base of the middle Sinemurian. The LOs of
Yananoconcha hengshanensis
and
Waagenoperna
are at the Lower–Middle Jurassic boundary. The LOs of
Psilunio
,
Cuneopsis
and
F
.
subcentralis
are near the Middle–Upper Jurassic boundary. Non-marine bivalves disappeared in the late Rhaetian, due to a sudden Norian–Rhaetian temperature drop. New forms did not return until the Sinemurian, when the climate warmed. The transgressions created low-relief terrestrial environments, in which organisms including bivalves thrived, leading to the formation of large quantities of coal, oil and gas. The Junggar Basin shifted from Arctic to subtropical latitudes in the Northern Hemisphere between the Early and Middle Jurassic.
Proximity Gaps for Reed–Solomon Codes
Authors: Ben-Sasson Eli , Carmon Dan , Ishai Yuval , Kopparty Swastik , Saraf Shubhangi
Published: August 2023

A collection of sets displays a
proximity gap
with respect to some property if for every set in the collection, either (i) all members are δ-close to the property in relative Hamming distance or (ii) only a tiny fraction of members are δ-close to the property. In particular, no set in the collection has roughly half of its members δ-close to the property and the others δ-far from it.

We show that the collection of affine spaces displays a proximity gap with respect to Reed–Solomon (RS) codes, even over small fields, of size polynomial in the dimension of the code, and the gap applies to any δ smaller than the Johnson/Guruswami–Sudan list-decoding bound of the RS code. We also show near-optimal gap results, over fields of (at least)
linear
size in the RS code dimension, for δ smaller than the unique decoding radius. Concretely, if δ is smaller than half the minimal distance of an RS code
V
⊂ 𝔽

q
n

, then every affine space is either entirely δ-close to the code or, alternatively, at most an (
n/q
)-fraction of it is δ-close to the code. Finally, we discuss several applications of our proximity gap results to distributed storage, multi-party cryptographic protocols, and concretely efficient proof systems.

We prove the proximity gap results by analyzing the execution of classical algebraic decoding algorithms for Reed–Solomon codes (due to Berlekamp–Welch and Guruswami–Sudan) on a
formal element
of an affine space. This involves working with Reed–Solomon codes whose base field is an (infinite) rational function field. Our proofs are obtained by developing an extension (to function fields) of a strategy of Arora and Sudan for analyzing low-degree tests.
Incremental Audio-Visual Fusion for Person Recognition in Earthquake Scene
Authors: You Sisi , Zuo Yukun , Yao Hantao , Xu Changsheng
Published: August 2023

Earthquakes have a profound impact on social harmony and property, resulting in damage to buildings and infrastructure. Effective earthquake rescue efforts require rapid and accurate determination of whether any survivors are trapped in the rubble of collapsed buildings. While deep learning algorithms can enhance the speed of rescue operations using single-modal data (either visual or audio), they are confronted with two primary challenges: insufficient information provided by single-modal data and catastrophic forgetting. In particular, the complexity of earthquake scenes means that single-modal features may not provide adequate information. Additionally, catastrophic forgetting occurs when the model loses the information learned in a previous task after training on subsequent tasks, due to non-stationary data distributions in changing earthquake scenes. To address these challenges, we propose an innovative approach that utilizes an incremental audio-visual fusion model for person recognition in earthquake rescue scenarios. Firstly, we leverage a cross-modal hybrid attention network to capture discriminative temporal context embedding, which uses self-attention and cross-modal attention mechanisms to combine multi-modality information, enhancing the accuracy and reliability of person recognition. Secondly, an incremental learning model is proposed to overcome catastrophic forgetting, which includes elastic weight consolidation and feature replay modules. Specifically, the elastic weight consolidation module slows down learning on certain weights based on their importance to previously learned tasks. The feature replay module reviews the learned knowledge by reusing the features conserved from the previous task, thus preventing catastrophic forgetting in dynamic environments. To validate the proposed algorithm, we collected the Audio-Visual Earthquake Person Recognition (AVEPR) dataset from earthquake films and real scenes. Furthermore, the proposed method gets 85.41% accuracy while learning the 10th new task, which demonstrates the effectiveness of the proposed method and highlights its potential to significantly improve earthquake rescue efforts.
S
2
CL-Leaf Net

: Recognizing Leaf Images Like Human Botanists
Authors: Zou Cong , Wang Rui , Jin Cheng , Zhang Sanyi , Wang Xin
Published: August 2023

Automatically classifying plant leaves is a challenging fine-grained classification task because of the diversity in leaf morphology, including size, texture, shape, and venation. Although powerful deep learning-based methods have achieved great improvement in leaf classification, these methods still require a large number of well-labeled samples for supervised training, which is difficult to get. In contrast, relying on the specific coarse-to-fine classification strategy, human botanists only require a small number of samples for accurate leaf recognition. Inspired by the classification strategy of human botanists, we propose a novel

S
2
CL-Leaf Net

, which exploits multi-granularity clues with a hierarchical attention mechanism and boosts the learning ability with the supervised sampling contrastive learning with limited training samples to classify plant leaves as human botanists do. Specifically, to fully explore and exploit the subtle details of the leaves, a novel sampling transformation mechanism is combined with the supervised contrastive learning to enhance the network’s perception of details by amplifying the discriminative regions with a weighted sampling of different regions. Furthermore, we construct the hierarchical attention mechanism to produce attention maps of different granularity, which helps to discover details in leaves that are important for classification. Experiments are conducted on the open-access leaf datasets, including Flavia, Swedish, and LeafSnap, which prove the effectiveness of the proposed

S
2
CL-Leaf Net

.
Performance and Pleasure: Exploring the Perceived Usefulness and Appeal of Physical Activity Data Visualizations with Older Adults
Authors: Vargemidis Dimitri , Gerling Kathrin , Abeele Vero Vanden , Geurts Luc
Published: August 2023

Wearable activity trackers hold the promise of making older adults aware of their levels of physical activity (PA), encouraging them to remain or become physically active. However, little is known about older adults’ preferences regarding data visualizations of PA, which is of concern as many of the currently implemented visualizations strongly emphasize performance. In our work, we present findings from a study (N = 44) in which we combined semi-structured interviews and an online survey to explore different approaches towards visualizing PA data for older adults. Through thematic analysis and statistical analysis, we highlight that visualizations’ perceived usefulness and appeal is individual and mediated by the lived experiences of late life, and that the potential of performance and pleasure can be leveraged to be complementary. On this basis, we discuss design opportunities for visualizations of PA data specifically addressing the needs of older adults from the perspective of PA in late life.
Boosting Scene Graph Generation with Contextual Information
Authors: Sun Shiqi , Huang Danlan , Tao Xiaoming , Pan Chengkang , Liu Guangyi , Chen Changwen
Published: August 2023

Scene graph generation (SGG) has been developed to detect objects and their relationships from the visual data and has attracted increasing attention in recent years. Existing works have focused on extracting object context for SGG. However, very few works have attempted to exploit implicit contextual correlations among relationships of the objects. Furthermore, most existing SGG schemes rely on high-level features to predict the predicates while overlooking the potential inherent association of low-level features with the object relationships. We present in this article a novel scheme to capture enhanced contextual information for both objects and relationships. We design a Dual-branch Context Analysis Transformer (DCAT) architecture to extract both object context and relationship context from the visual data with dual transformer branches and then effectively fuse both high-level and low-level features by an adaptive approach to facilitate relationship prediction. Specifically, we first conduct feature representation learning to enrich relation representations by the visual, spatial, and linguistic feature extractors. Next, two transformer branches are designed to leverage the modeling of global associative interaction and mine the hidden association among objects and relationships. Then, we devise a novel feature disentangling method to decouple contextualized high-level features with guidance from the visual semantics. Finally, we develop a refined attention module to perform low-level feature recalibration for the refinement of the final predicate prediction. Experiments on Visual Genome and Action Genome datasets demonstrate the effectiveness of DCAT for both image and video SGG settings. Moreover, we also test the quality of the generated image scene graphs to verify the generalizability on downstream tasks like sentence-to-graph retrieval and image retrieval.
Impaired sliding between the lower esophageal sphincter and crural diaphragm (esophageal hiatus) in patients with achalasia esophagus
Authors: Mittal Ravinder K. , Ledgerwood Melissa , Caplin Michelle , Xu Pudan , Marquez-Lavenant Walter , Zifan Ali
Published: August 2023

Swallow-related axial shortening of the esophagus is reduced, and there is no separation between the lower esophageal sphincter and crural diaphragm (CD) with swallowing in patients with achalasia esophagus. Fat in the hiatal opening of the esophagus appears to be replaced with fibrous tissue in patients with achalasia, resulting in tight anchoring between the LES and CD. The above findings explain low prevalence of hiatus hernia and the low compliance of the LES in achalasia esophagus.
Prevalence, Management, and Impact of Dysmenorrhea on the Lives of Nurse and Midwife Trainees in Northern Ghana
Authors: Wuni Abubakari , Abena Nyarko Brenda , Mohammed Ibrahim Mudasir , Abdulai Baako Issahaka , Mohammed Iddrisu Sisala , Buunaaisie Camillus
Published: August 2023

Background. Dysmenorrhea is the most common gynecological problem affecting the majority of female students in the nursing profession today. They often experience severe pain that is not only incapacitating but also has a significant impact on their day-to-day college life, academic, and clinical performance. Aim. This study was conducted to assess the prevalence, management, and impact of dysmenorrhea on the lives of nurse and midwife trainees in northern Ghana. Methods. A descriptive cross-sectional design with a quantitative approach to data collection was employed to collect data from nurse and midwife trainees in three colleges of nursing and/or midwifery in the northern region of Ghana. A proportionate stratified random sampling technique was used to recruit 303 respondents for the study. After gaining permission from various institutions, data were collected by using a structured questionnaire from 13th September to 28th October, 2022. Stata (special edition) for Windows version 17.0 was used for the statistical analyses. Results. The study revealed a high prevalence of dysmenorrhea among female nursing students (66.7% and 95% CI: 0.611–0.720). More than half of the respondents (67.3%) experienced loss of appetite for food. The most common site of most intense pain was the pelvis and lower abdomen (98.0%). A greater proportion of students (65.8%) used antispastic drugs to reduce pain. The respondents’ concentration in the classroom was greatly affected (77.2%) as well as normal physical activities (58.4%). A multivariable logistic regression analysis revealed that the odds of dysmenorrhea are 2.67 times higher when the duration of menstruation is 4-5 days (AOR = 1.82, 95% CI = 1.13–6.28, and

p

 = 0.024) than a duration of 1–3 days. Having urinary tract infections was associated with 3.56 times higher odds of dysmenorrhea (AOR = 3.56, 95% CI = 0.98–12.86, and

p

 = 0.053). Again, the odds of dysmenorrhea were also four times higher among respondents with a family history of the same condition (AOR = 4.05, 95% CI = 2.16–7.61, and

p

 = 0.001). Conclusion. The current study revealed a high prevalence of dysmenorrhea among nurse and midwife trainees in the northern part of Ghana. The majority of the respondent experienced loss of appetite and intense pain in the pelvis and lower abdomen, and their concentration during lectures was also significantly affected. The most predominant nonpharmacological method used for reducing the pain was sleep and the application of warm objects on the abdomen.
Supplementary Figures from Targeting KDM2A Enhances T-cell Infiltration in NSD1-Deficient Head and Neck Squamous Cell Carcinoma
Authors: Chen Chen , Shin June Ho , Fang Zhuoqing , Brennan Kevin , Horowitz Nina B. , Pfaff Kathleen L. , Welsh Emma L. , Rodig Scott J. , Gevaert Olivier , Gozani Or , Uppaluri Ravindra , Sunwoo John B.
Published: August 2023

Supplemental figures
Supplementary Table S9 from The EstroGene Database Reveals Diverse Temporal, Context-Dependent, and Bidirectional Estrogen Receptor Regulomes in Breast Cancer
Authors: Li Zheqi , Li Tianqin , Yates Megan E. , Wu Yang , Ferber Amanda , Chen Lyuqin , Brown Daniel D. , Carroll Jason S. , Sikora Matthew J. , Tseng George C. , Oesterreich Steffi , Lee Adrian V.
Published: August 2023

Metadata of 60 ER ChIP-seq samples used for gene annotation analysis
Supplementary Table S4 from The EstroGene Database Reveals Diverse Temporal, Context-Dependent, and Bidirectional Estrogen Receptor Regulomes in Breast Cancer
Authors: Li Zheqi , Li Tianqin , Yates Megan E. , Wu Yang , Ferber Amanda , Chen Lyuqin , Brown Daniel D. , Carroll Jason S. , Sikora Matthew J. , Tseng George C. , Oesterreich Steffi , Lee Adrian V.
Published: August 2023

Metadata of four ER ChIP-seq data sets for inter-data set concordance analysis
Supplementary Data from Alpha-1 Adrenergic Antagonists Sensitize Neuroblastoma to Therapeutic Differentiation
Authors: Broso Francesca , Gatto Pamela , Sidarovich Viktoryia , Ambrosini Chiara , De Sanctis Veronica , Bertorelli Roberto , Zaccheroni Elena , Ricci Benedetta , Destefanis Eliana , Longhi Sara , Sebastiani Enrico , Tebaldi Toma , Adami Valentina , Quattrone Alessandro
Published: August 2023

Supplementary Figures from S1 to S23 and Supplementary tables from S1 to S3
Supplementary Data from Temozolomide Sensitizes ARID1A-Mutated Cancers to PARP Inhibitors
Authors: Yu Zheng-Cheng , Li Tianhe , Tully Ellen , Huang Peng , Chen Chih-Ning , Oberdoerffer Philipp , Gaillard Stephanie , Shih Ie-Ming , Wang Tian-Li
Published: August 2023

Supplementary Figures
Supplementary Data from Tumor-Derived Small Extracellular Vesicles Inhibit the Efficacy of CAR T Cells against Solid Tumors
Authors: Zhong Wenqun , Xiao Zebin , Qin Zhiyuan , Yang Jingbo , Wen Yi , Yu Ziyan , Li Yumei , Sheppard Neil C. , Fuchs Serge Y. , Xu Xiaowei , Herlyn Meenhard , June Carl H. , Puré Ellen , Guo Wei
Published: August 2023

Supplementary Figures and Figure Legends
Movie S3 from Intermetastatic and Intrametastatic Heterogeneity Shapes Adaptive Therapy Cycling Dynamics
Authors: Gallaher Jill , Strobl Maximilian , West Jeffrey , Gatenby Robert , Zhang Jingsong , Robertson-Tessi Mark , Anderson Alexander R.A.
Published: August 2023

Movies corresponding to simulation examples in Figure 5, comparing sequential seeding of homogeneous metastases with simultaneous seeding of heterogeneous metastases over simulations with different total burden and number of metastases.
Supplementary Figure 3. from The Genomic and Epigenomic Landscape of Double-Negative Metastatic Prostate Cancer
Authors: Lundberg Arian , Zhang Meng , Aggarwal Rahul , Li Haolong , Zhang Li , Foye Adam , Sjöström Martin , Chou Jonathan , Chang Kevin , Moreno-Rodriguez Thaidy , Shrestha Raunak , Baskin Avi , Zhu Xiaolin , Weinstein Alana S. , Younger Noah , Alumkal Joshi J. , Beer Tomasz M. , Chi Kim N. , Evans Christopher P. , Gleave Martin , Lara Primo N. , Reiter Rob E. , Rettig Matthew B. , Witte Owen N. , Wyatt Alexander W. , Feng Felix Y. , Small Eric J. , Quigley David A.
Published: August 2023

Volcano plots representing the differentially expressed (DE) genes in the mCRPC subtypes compared to AR+/NE- tumors
Supplementary Figure 2. from The Genomic and Epigenomic Landscape of Double-Negative Metastatic Prostate Cancer
Authors: Lundberg Arian , Zhang Meng , Aggarwal Rahul , Li Haolong , Zhang Li , Foye Adam , Sjöström Martin , Chou Jonathan , Chang Kevin , Moreno-Rodriguez Thaidy , Shrestha Raunak , Baskin Avi , Zhu Xiaolin , Weinstein Alana S. , Younger Noah , Alumkal Joshi J. , Beer Tomasz M. , Chi Kim N. , Evans Christopher P. , Gleave Martin , Lara Primo N. , Reiter Rob E. , Rettig Matthew B. , Witte Owen N. , Wyatt Alexander W. , Feng Felix Y. , Small Eric J. , Quigley David A.
Published: August 2023

Hierarchical clustering analyses of benign, localized, and mCRPC tumors representing the expression of neuroendocrine marker genes (NE), androgen-related genes (AR), and genes related to squamous (SQUAM) differentiation
Movie S1 from Intermetastatic and Intrametastatic Heterogeneity Shapes Adaptive Therapy Cycling Dynamics
Authors: Gallaher Jill , Strobl Maximilian , West Jeffrey , Gatenby Robert , Zhang Jingsong , Robertson-Tessi Mark , Anderson Alexander R.A.
Published: August 2023

Movies corresponding to simulation examples in Figure 3, comparing metastases simulations with different total burden and number of metastases.
Data from Drosophila Screening Identifies Dual Inhibition of MEK and AURKB as an Effective Therapy for Pancreatic Ductal Adenocarcinoma
Authors: Sekiya Sho , Fukuda Junki , Yamamura Ryodai , Ooshio Takako , Satoh Yusuke , Kosuge Shinya , Sato Reo , Hatanaka Kanako C. , Hatanaka Yutaka , Mitsuhashi Tomoko , Nakamura Toru , Matsuno Yoshihiro , Hirano Satoshi , Sonoshita Masahiro
Published: August 2023

Abstract
Significant progress has been made in understanding the pathogenesis of pancreatic ductal adenocarcinoma (PDAC) by generating and using murine models. To accelerate drug discovery by identifying novel therapeutic targets on a systemic level, here we generated a Drosophila model mimicking the genetic signature in PDAC (KRAS, TP53, CDKN2A, and SMAD4 alterations), which is associated with the worst prognosis in patients. The ‘4-hit’ flies displayed epithelial transformation and decreased survival. Comprehensive genetic screening of their entire kinome revealed kinases including MEK and AURKB as therapeutic targets. Consistently, a combination of the MEK inhibitor trametinib and the AURKB inhibitor BI-831266 suppressed the growth of human PDAC xenografts in mice. In patients with PDAC, the activity of AURKB was associated with poor prognosis. This fly-based platform provides an efficient whole-body approach that complements current methods for identifying therapeutic targets in PDAC.
Significance:
Development of a Drosophila model mimicking genetic alterations in human pancreatic ductal adenocarcinoma provides a tool for genetic screening that identifies MEK and AURKB inhibition as a potential treatment strategy.
Data from Alpha-1 Adrenergic Antagonists Sensitize Neuroblastoma to Therapeutic Differentiation
Authors: Broso Francesca , Gatto Pamela , Sidarovich Viktoryia , Ambrosini Chiara , De Sanctis Veronica , Bertorelli Roberto , Zaccheroni Elena , Ricci Benedetta , Destefanis Eliana , Longhi Sara , Sebastiani Enrico , Tebaldi Toma , Adami Valentina , Quattrone Alessandro
Published: August 2023

Abstract
Neuroblastoma (NB) is an aggressive childhood tumor, with high-risk cases having a 5-year overall survival probability of approximately 50%. The multimodal therapeutic approach for NB includes treatment with the retinoid isotretinoin (13-cis retinoic acid; 13cRA), which is used in the post-consolidation phase as an antiproliferation and prodifferentiation agent to minimize residual disease and prevent relapse. Through small-molecule screening, we identified isorhamnetin (ISR) as a synergistic compound with 13cRA in inhibiting up to 80% of NB cell viability. The synergistic effect was accompanied by a marked increase in the expression of the adrenergic receptor α1B (ADRA1B) gene. Genetic knockout of ADRA1B or its specific blockade using α1/α1B adrenergic antagonists led to selective sensitization of MYCN-amplified NB cells to cell viability reduction and neural differentiation induced by 13cRA, thus mimicking ISR activity. Administration of doxazosin, a safe α1-antagonist used in pediatric patients, in combination with 13cRA in NB xenografted mice exerted marked control of tumor growth, whereas each drug alone was ineffective. Overall, this study identified the α1B adrenergic receptor as a pharmacologic target in NB, supporting the evaluation of adding α1-antagonists to the post-consolidation therapy of NB to more efficiently control residual disease.
Significance:
Targeting α-adrenergic receptors synergizes with isotretinoin to suppress growth and to promote differentiation of neuroblastoma, revealing a combinatorial approach for more effective management of the disease and prevention of relapse.
Data from Intermetastatic and Intrametastatic Heterogeneity Shapes Adaptive Therapy Cycling Dynamics
Authors: Gallaher Jill , Strobl Maximilian , West Jeffrey , Gatenby Robert , Zhang Jingsong , Robertson-Tessi Mark , Anderson Alexander R.A.
Published: August 2023

Abstract
Adaptive therapies that alternate between drug applications and drug-free vacations can exploit competition between sensitive and resistant cells to maximize the time to progression. However, optimal dosing schedules depend on the properties of metastases, which are often not directly measurable in clinical practice. Here, we proposed a framework for estimating features of metastases through tumor response dynamics during the first adaptive therapy treatment cycle. Longitudinal prostate-specific antigen (PSA) levels in 16 patients with metastatic castration-resistant prostate cancer undergoing adaptive androgen deprivation treatment were analyzed to investigate relationships between cycle dynamics and clinical variables such as Gleason score, the change in the number of metastases over a cycle, and the total number of cycles over the course of treatment. The first cycle of adaptive therapy, which consists of a response period (applying therapy until 50% PSA reduction), and a regrowth period (removing treatment until reaching initial PSA levels), delineated several features of the computational metastatic system: larger metastases had longer cycles; a higher proportion of drug-resistant cells slowed the cycles; and a faster cell turnover rate sped up drug response time and slowed regrowth time. The number of metastases did not affect cycle times, as response dynamics were dominated by the largest tumors rather than the aggregate. In addition, systems with higher intermetastasis heterogeneity responded better to continuous therapy and correlated with dynamics from patients with high or low Gleason scores. Conversely, systems with higher intrametastasis heterogeneity responded better to adaptive therapy and correlated with dynamics from patients with intermediate Gleason scores.
Significance:
Multiscale mathematical modeling combined with biomarker dynamics during adaptive therapy helps identify underlying features of metastatic cancer to inform treatment decisions.
Supplementary table S2 from B-cell Receptor Pathway Mutations Are Infrequent in Patients with Chronic Lymphocytic Leukemia on Continuous Ibrutinib Therapy
Authors: Woyach Jennifer A. , Ghia Paolo , Byrd John C. , Ahn Inhye E. , Moreno Carol , O'Brien Susan M. , Jones Daniel , Cheung Leo W.K. , Chong Elizabeth , Kwei Kevin , Dean James P. , James Danelle F. , Wiestner Adrian
Published: August 2023

Supplemental Table 2. Detailed information on samples with detected BTK mutations
Supplementary tables 1 from BBT-176, a Novel Fourth-Generation Tyrosine Kinase Inhibitor for Osimertinib-Resistant EGFR Mutations in Non–Small Cell Lung Cancer
Authors: Lim Sun Min , Fujino Toshio , Kim Chulwon , Lee Gwanghee , Lee Yong-Hee , Kim Dong-Wan , Ahn Jin Seok , Mitsudomi Tetsuya , Jin Taiguang , Lee Sang-Yoon
Published: August 2023

Supplementary tables 1-4
Supplementary Table S3 from B-cell Receptor Pathway Mutations Are Infrequent in Patients with Chronic Lymphocytic Leukemia on Continuous Ibrutinib Therapy
Authors: Woyach Jennifer A. , Ghia Paolo , Byrd John C. , Ahn Inhye E. , Moreno Carol , O'Brien Susan M. , Jones Daniel , Cheung Leo W.K. , Chong Elizabeth , Kwei Kevin , Dean James P. , James Danelle F. , Wiestner Adrian
Published: August 2023

Supplemental Table 3. Frequency of BTK and PLCG2 mutations in previouslyuntreated patients or those with relapsed/refractory disease who experienced Richter's transformation
Supplementary Table S1 from B-cell Receptor Pathway Mutations Are Infrequent in Patients with Chronic Lymphocytic Leukemia on Continuous Ibrutinib Therapy
Authors: Woyach Jennifer A. , Ghia Paolo , Byrd John C. , Ahn Inhye E. , Moreno Carol , O'Brien Susan M. , Jones Daniel , Cheung Leo W.K. , Chong Elizabeth , Kwei Kevin , Dean James P. , James Danelle F. , Wiestner Adrian
Published: August 2023

Supplemental Table 1 Listing of all detected BTK mutations (by NGS) in samples from previously untreated patients or those with relapsed/refractory disease
Figure S7 from BBT-176, a Novel Fourth-Generation Tyrosine Kinase Inhibitor for Osimertinib-Resistant EGFR Mutations in Non–Small Cell Lung Cancer
Authors: Lim Sun Min , Fujino Toshio , Kim Chulwon , Lee Gwanghee , Lee Yong-Hee , Kim Dong-Wan , Ahn Jin Seok , Mitsudomi Tetsuya , Jin Taiguang , Lee Sang-Yoon
Published: August 2023

Supplementary Figure 7. Duration of treatment and tumor response in all patients in QD dosing cohorts by dose level.
Figure S5 from BBT-176, a Novel Fourth-Generation Tyrosine Kinase Inhibitor for Osimertinib-Resistant EGFR Mutations in Non–Small Cell Lung Cancer
Authors: Lim Sun Min , Fujino Toshio , Kim Chulwon , Lee Gwanghee , Lee Yong-Hee , Kim Dong-Wan , Ahn Jin Seok , Mitsudomi Tetsuya , Jin Taiguang , Lee Sang-Yoon
Published: August 2023

Supplementary Figure 5. Growth inhibition by BBT-176 with and without cetuximab in BBT-176-resistant clones. IC50 values were measured 3 days later and cell growth was plotted relative to untreated control cells (mean ± SD). Abbreviation: BR(1/2), BBT-176-resistant (clone 1/2).