bluuebunny/crossref_metadata_2025_split huggingface dataset:
Flexible physical sensors based on membranes: from design to application
Authors: Lin Liwei , Wu Changqing , Cui Youfeng , Pan Minghao , Fang Ning , Zhou Man , Zhang Yuzhe , Zhang Wang , Li Zhongyu , Zhou Ziyao , Piao Yuanzhe , Paek Sun-Ha 
Published: November 2024

Abstract
The flexible physical sensors have the advantage of pliability and extensibility and can be easily twisted or curved. The development of flexibility from rigidity has significantly increased the application situations for sensors, especially in intelligent robots, tactile platforms, wearable medical sensors, bionic devices, and other fields. The research of membrane-based flexible physical sensors relies on the development of advanced materials and technologies, which have been derived from a wide range of applications. Various technical methods and principles have gradually matured according to the different applications and materials used. The first section of this review discusses membrane substrates and functional materials, summarizing the development of flexible physical sensors. According to the technical sensing principles, the review is concerned with the state of research on physical sensing platforms. Lastly, the difficulties and chances for the design of emerging membrane-based flexible physical sensors in the coming years are presented.
Investigating direct air capture of carbon dioxide using alkali dosed biochar-based adsorbent
Authors: Lungkadee Thananat , Phromphithak Sanphawat , Katongtung Tossapon , Tangparitkul Suparit , Chaichana Chatchawan , Tippayawong Nakorn 
Published: November 2024

Abstract
As a response to the urgent need for global climate change mitigation, negative emissions technologies have gained widespread recognition as essential tools for achieving climate goals. Among these technologies, direct air capture (DAC) and biochar are considered promising methods for carbon capture, contributing to the reduction of carbon dioxide emissions into the atmosphere. Biochar stands out as an environmentally friendly and cost-effective adsorbent for DAC. While both DAC and biochar technologies have undergone extensive research, limited attention has been given to the potential of using alkali-dosed biochar as a sorbent for DAC, with most validation conducted at laboratory level. This study focuses on the DAC of CO2 using a KOH-dosed biochar-based adsorbent and introduces a mobile prototype designed to accommodate a portable biochar filter. Our research explores the viability of this innovative approach for carbon capture, offering a possible solution for sectors with limited financial resources and the public.
Randomized radial basis function neural network for solving multiscale elliptic equations
Authors: Wu Yuhang , Liu Ziyuan , Sun Wenjun , Qian Xu 
Published: November 2024

Abstract
Ordinary deep neural network (DNN)-based methods frequently encounter difficulties when tackling multiscale and high-frequency partial differential equations. To overcome these obstacles and improve computational accuracy and efficiency, this paper presents the Randomized Radial Basis Function Neural Network (RRNN), an innovative approach explicitly crafted for solving multiscale elliptic equations. The RRNN method commences by decomposing the computational domain into non-overlapping subdomains. Within each subdomain, the solution to the localized subproblem is approximated by a RRNN with a Gaussian kernel. This network is distinguished by the random assignment of width and center coefficients for its activation functions, thereby rendering the training process focused solely on determining the weight coefficients of the output layer. For each subproblem, similar to the Petrov–Galerkin finite element method, a linear system will be formulated on the foundation of a weak formulation. Subsequently, a selection of collocation points is stochastically sampled at the boundaries of the subdomain, ensuring the satisfaction of C
0 and C
1 continuity and boundary conditions to couple these localized solutions. The network is ultimately trained using the least squares method to ascertain the output layer weights. To validate the RRNN method’s effectiveness, an extensive array of numerical experiments has been executed. The RRNN is firstly compared with a variety of DNN methods based on gradient descent optimization. The comparative analysis demonstrates the RRNN’s superior performance with respect to computational accuracy and training time. Furthermore, it is contrasted with to local extreme learning machine method, which also utilizes domain decomposition and the least squares method. The comparative findings suggest that the RRNN method can attain enhanced accuracy at a comparable computational cost, particularly pronounced in scenarios with a smaller scale ratio ɛ.
Recent and anticipated novel drug approvals (4Q 2024 through 3Q 2025)
Authors: Rim Matthew H , Dean Collin , Aliaj Enela , Dandino Matthew , Tanriverdi Tara , Levitsky Andrew M 
Published: November 2024

Abstract

Purpose
Health-system pharmacists play a crucial role in monitoring the pharmaceutical pipeline to manage formularies, allocate resources, and optimize clinical programs for new therapies. This article aims to support pharmacists by providing updates on new and anticipated novel drug approvals.

Summary
Selected drug approvals anticipated in the 12-month period covering the fourth quarter of 2024 through the third quarter of 2025 are reviewed. The analysis emphasizes drugs expected to have significant clinical and financial impact in hospitals and clinics, as selected from among 51 novel drugs awaiting US Food and Drug Administration approval. New drugs for severe rare diseases, cancers, autoimmune diseases, acute pain, and reversal of anticoagulation are being developed. Additionally, a new cell therapy for treatment of graft-versus-host disease joined the group of novel targeted therapies for various diseases awaiting approval.

Conclusion
Novel therapies for treating rare diseases and cancers continue to strengthen the current drug pipeline.
Ultrasound-Guided Female Equilibrated Minimal Muscularization and Enhancement (U-Femme)
Authors: Proto Ricardo , Hoyos Alfredo E , Perez Pachon Mauricio E , Oñate-Valdivieso Carlos , Oñate-Valdivieso Daniel , Duarte Paulo , Aguilar-Villa Hugo , Manzaneda-Cipriani Raul , Samuel Icaro , Borras Osorio Mariana 
Published: November 2024

Abstract

Background
High-definition liposculpture (HDL) has undergone significant evolution since its initial description, with the goal of achieving more natural outcomes and a muscular-defined appearance. The introduction of intramuscular fat grafting has enhanced contouring capabilities, with its applications extending to various muscle groups. Subperiosteal fat grafting efficacy and safety are well-established in facial surgery.

Objectives
Describe the technique of combining ultrasound (US)-guided subperiosteal lipoinjection of the anterior superior iliac spine (bikini bridge) plus intramuscular fat grafting of the internal oblique muscles with HDL.

Methods
A retrospective cohort study was conducted across different specialized plastic surgery centers. Adult patients who underwent bikini bridge and dynamic definition liposculpture were included. All patients were informed of the innovative use of the technique and consented to participate. Descriptive statistical analysis was performed to summarize the variables.

Results
A total of 105 consecutive patients were included for analysis. Patients were mostly females (86.7%) plus 14 male patients (13.3%) who were in the gender reassignment process. Mean age was 34.3 years (standard deviation [SD] 8.7 years) and the median BMI was 22.9 kg/m2 (SD 2.74 kg/m2). All patients underwent fat grafting the iliac spines + the oblique muscles as an additional procedure to HDL. Median volume of fat injected was 15 cc (interquartile range 12 cc) for the iliac spines and 40 cc for the internal obliques. No major complications were reported.

Conclusions
The US-guided intramuscular and subperiosteal fat grafting of the abdomen is a safe and reproducible procedure, resulting in a harmonious and athletic appearance with natural-looking outcomes, high satisfaction, and a very low rate of complications.

Level of Evidence: 4 (Therapeutic)
Caenorhabditis elegans as a model host to study effects of lactic acid bacteria and functional food factors
Authors: Komura Tomomi , Nishikawa Yoshikazu 
Published: November 2024

Abstract
Several approaches for regulating health and disease by intestinal bacteria, bacteria isolated from food products, and food factors have been investigated; however, the molecular mechanisms underlying the interactions between these bacteria and their hosts are still unknown. Caenorhabditis elegans is a crucial model for exploring various biological phenomena and has been used in studying intestinal bacteria, mainly in the field of anti-aging, anti-amyloid β activity in Alzheimer's disease, and its interaction to hosts. The nematode model is expected to be increasingly utilized for elucidating the interactions of beneficial bacteria or food factors with hosts. Herein, we review anti-aging and suppression of amyloid β expression in a C. elegans model fed lactic acid bacteria, and our developed methods for orally administering food factors and assessing advanced glycation end products as an aging indicator.
RUCova: Removal of Unwanted Covariance in mass cytometry data
Authors: Astaburuaga-García Rosario , Sell Thomas , Mutlu Samet , Sieber Anja , Lauber Kirsten , Blüthgen Nils 
Published: November 2024

Abstract

Motivation
High dimensional single-cell mass cytometry data are confounded by unwanted covariance due to variations in cell size and staining efficiency, making analysis, and interpretation challenging.

Results
We present RUCova, a novel method designed to address confounding factors in mass cytometry data. RUCova removes unwanted covariance from measured markers applying multivariate linear regression based on surrogates of sources of unwanted covariance (SUCs) and principal component analysis (PCA). We exemplify the use of RUCova and show that it effectively removes unwanted covariance while preserving genuine biological signals. Our results demonstrate the efficacy of RUCova in elucidating complex data patterns, facilitating the identification of activated signalling pathways, and improving the classification of important cell populations such as apoptotic cells. By providing a robust framework for data normalization and interpretation, RUCova enhances the accuracy and reliability of mass cytometry analyses, contributing to advances in our understanding of cellular biology and disease mechanisms.

Availability and implementation
The R package is available on https://github.com/molsysbio/RUCova. Detailed documentation, data, and the code required to reproduce the results are available on https://doi.org/10.5281/zenodo.10913464.
Pyrroloquinoline-quinone supplementation restores ovarian function and oocyte quality in a mouse model of advanced maternal age
Authors: Zhang Kemei , Xu Rui , Ma Jinzhao , Zheng Lu , Zhang Hong , Li Zhou , Weng Hong , Yang Xiaoyue , Hu Ying , Chen Xueqing , Shu Jing 
Published: November 2024

Abstract
Natural ovarian aging is one of the major causes for declining fertility in female animals, which has become an insurmountable issue in human reproduction clinics and assisted reproductive technology procedures. Nevertheless, the molecular basis of oocyte aging remains poorly understood, and feasible improvement strategies are unavailable. In the present study, in vivo supplementation of pyrroloquinoline-quinone effectively elevated the fecundity of reproductively aged mice by balancing hormonal secretion, harmonizing the estrus cycle, and eliminating ovarian fibrosis. Moreover, oocyte quality also increased in aged mice after pyrroloquinoline-quinone administration from various aspects, including nuclear and cytoplasmic maturation competency, fertilization capacity, and pre-implantation embryonic development potential. Transcriptomic analysis identified target pathways that might mediate pyrroloquinoline-quinone’s effects in aged oocytes. Specifically, it was demonstrated that pyrroloquinoline-quinone supplementation restored the mitochondrial dynamics and lysosomal function to remove excessive reactive oxygen species and suppress apoptosis in aged oocytes. Jointly, these findings demonstrate pyrroloquinoline-quinone administration is an efficacious method to restore the compromised ovary function and damaged oocyte quality in reproductively aged mice, which might be a potential clinical therapy for women of advanced maternal age with infertility.
Thoraco-omphalopagus conjoined twins: comprehensive evaluation with sonography and MRI in first trimester—a rare imaging diagnosis
Authors: Bhatia Harsimran , Aggarwal Purnima , Devkota Shritik , Lamichhane Samiksha 
Published: November 2024

Abstract
Conjoined twins, or Siamese twins as they are commonly called, are a rare and extreme form of monochorionic twinning. Imaging plays an essential role in the diagnosis and follow-up of conjoined twins. While ultrasound is often the screening modality of choice, MRI is carried out for better anatomical delineation and further characterization as and when necessary. We present a unique case of first trimester thoraco-omphalopagus conjoined twins with cystic hygroma who were comprehensively evaluated with sonography and MRI with imaging findings confirmed post-pregnancy termination. The case stresses upon the utility of advanced imaging techniques including foetal MRI that immensely contribute towards a reliable diagnosis.
Temperature dependence of intraparticle diffusion of coumarin in single octadecylsilyl-functionalized silica particle revealed by fluorescence microspectroscopy
Authors: Miyagawa Akihisa , Yamada Kazuki , Nagatomo Shigenori , Nakatani Kiyoharu 
Published: November 2024

Abstract
We explore the intraparticle diffusion of coumarin 102 (C102) in an octadecylsilyl-functionalized (ODS) silica particle in acetonitrile (ACN)/water and butanol (BuOH)/water systems at varying temperatures (T). The enthalpy-entropy compensation plots of the distribution coefficient of C102 in the ODS silica particle found that the distribution mechanism differed between ACN and BuOH. The T-dependent intraparticle diffusion coefficient (Dintra) of C102 in a single particle was determined with fluorescence microscpectroscopy using laser trapping and fluorescence recovery after photobleaching. The obtained Dintra was analyzed based on Arrhenius plots and the pore and surface diffusion model. As a result, we revealed that C102 transferred in the ODS silica particle in the ACN/water solution through only surface diffusion, while both pore and surface diffusions were observed in the BuOH/water solution. It was found that the formation of an interfacial liquid phase was the reason for the observed surface-only diffusion in the ACN system. This was supported by the activation energy of Dintra and surface diffusion coefficient. Moreover, we demonstrate for the first time that the proposed system allows the evaluation of T-dependence of Dintra in a single particle.
Incidence and prevalence of prurigo nodularis and associated comorbidities in Denmark from 1998 to 2021
Authors: Elberling Jesper , Ibler Kristina Sophie , Thomsen Simon Francis , Bosman Kwinten , Olsen Jens , Torpet Mathias 
Published: November 2024

Abstract

Background
Prurigo nodularis (PN) is a chronic skin condition characterized by intense itching from nodular skin lesions. Despite its impact on patients’ quality of life, limited data exist on its epidemiology.

Objectives
To estimate the incidence and prevalence of hospital-diagnosed PN and to explore the burden of associated comorbidities.

Methods
A national register-based study in Denmark was conducted using data from Danish national health registers to determine the incidence and prevalence of PN diagnosed in hospitals from 1998 to 2021 and to explore the occurrence of comorbidities.

Results
In total, we identified 1209 individuals diagnosed with PN. The mean age of onset was 45 years, with a female predominance of 58% (696/1209). The prevalence of PN increased over the studied period, reaching 14.1 per 100 000 individuals by 2021. Comorbidities such as chronic kidney disease had higher odds ratios preceding the diagnosis of PN, whereas the odds ratios for atopic dermatitis, mood disorders and depressive disorders increased following the onset of PN.

Conclusion
The findings indicate a significant association between PN and various comorbidities, emphasizing the need for multidisciplinary care. The increase in prevalence suggests a growing burden of disease. Although the study may underestimate the true prevalence of PN because of reliance on hospital records, it reveals a rising rate prevalence of PN and associated comorbidities in Denmark. The observed high prevalence of mental health problems in individuals with PN should be a focus of concern for the treating physicians.
Ten tips in lupus nephritis management
Authors: Teoh Selene T Y , Yap Desmond Y H , Chan Tak Mao 
Published: November 2024

ABSTRACT
Lupus nephritis is an important cause of severe glomerulonephritis, and a leading cause of kidney failure in young adults. While the disease can lead to rapid destruction of nephrons if untreated, there are effective therapies to reverse the severe acute kidney injury and prevent the lifetime risk of kidney failure. Early diagnosis and timely intervention are therefore of critical importance. Clinical management of lupus nephritis has improved considerably over the past two decades. The advent of mycophenolate as standard immunosuppressive therapy was a major paradigm shift that improved the safety and convenience of treatment and also patients' quality of life. Effective therapeutic options continue to increase, such as belimumab (a monoclonal antibody that inhibits B-cell activating factor, BAFF) and voclosporin (a calcineurin inhibitor) which have obtained regulatory approval in U.S.A. and Europe. There is also accumulating experience on tacrolimus, which has regulatory approval for lupus nephritis treatment in Japan and commonly used off-label in many countries. Ironically, the increasing therapeutic options have resulted in uncertainties in deciding which medication, and which treatment regimen, is best for a patient. In this context, one needs to take into consideration the distinct characteristics and the risk profile of each patient, and adopt a holistic and long-term perspective, so that treatment can be personalized to achieve favourable clinical outcomes.
Social Inclusion, Belonging, and School-Based Experiences in Central American Immigrant Youth
Authors: Carnes Stephanie L , Disney Lindsey 
Published: November 2024

Abstract
Spanish-speaking immigrant students, particularly those from Central America, constitute a rapidly growing subpopulation in U.S. public schools. As primary institutions for socialization, cultural learning, and academic knowledge development, schools often offer immigrant students their first experience of U.S. cultures and the English language. However, schools may mirror broader sociopolitical dynamics of marginalization and social exclusion. The current qualitative study, which explored the school-based experiences of Central American immigrant adolescent students enrolled in English language learner (ELL) programming, sheds light on the specific dynamics of social inclusion (and exclusion) in public schools as institutions, and how such dynamics impact processes of acculturation and overall sense of belonging. Specifically, participant perspectives highlighted the ways in which the institutional design of ELL programs, as well as highly racialized and assimilative school policies and practices, hinder cultural exchange and social inclusion.
MalKinID: A classification model for identifying malaria parasite genealogical relationships using identity-by-descent
Authors: Wong Wesley , Wang Lea , Schaffner Stephen F , Li Xue , Cheeseman Ian , Anderson Timothy J C , Vaughan Ashley , Ferdig Michael , Volkman Sarah K , Hartl Daniel L , Wirth Dyann F 
Published: November 2024

Abstract
Pathogen genomics is a powerful tool for tracking infectious disease transmission. In malaria, identity-by-descent is used to assess the genetic relatedness between parasites and has been used to study transmission and importation. In theory, identity-by-descent can be used to distinguish genealogical relationships to reconstruct transmission history or identify parasites for QTL experiments. MalKinID (Malaria Kinship Identifier) is a new classification model designed to identify genealogical relationships among malaria parasites based on genome-wide identity-by-descent proportions and identity-by-descent segment distributions. MalKinID was calibrated to the genomic data from 3 laboratory-based genetic crosses (yielding 440 parent-child and 9060 full-sibling comparisons). MalKinID identified lab-generated F1 progeny with &gt;80% sensitivity and showed that 0.39 (95% CI 0.28, 0.49) of the second-generation progeny of a NF54 and NHP4026 cross were F1s and 0.56 (0.45, 0.67) were backcrosses of an F1 with the parental NF54 strain. In simulated outcrossed importations, MalKinID reconstructs genealogy history with high precision and sensitivity, with F1-scores exceeding 0.84. However, when importation involves inbreeding, such as during serial co-transmission, the precision and sensitivity of MalKinID declined, with F1-scores (the harmonic mean of precision and sensitivity) of 0.76 (0.56, 0.92) and 0.23 (0.0, 0.4) for parent-child and full-sibling and &lt;0.05 for second-degree and third-degree relatives. Disentangling inbred relationships required adapting MalKinID to perform multisample comparisons. Genealogical inference is most powered when (1) outcrossing is the norm or (2) multisample comparisons based on a predefined pedigree are used. MalKinID lays the foundations for using identity-by-descent to track parasite transmission history and for separating progeny for quantitative-trait-locus experiments.