bluuebunny/crossref_metadata_2025_split huggingface dataset:
Design of CRLH-TL BPF with controllable attenuation poles
Authors: Hirayama Atsuya , Ishikawa Hinata , Ohno Takanobu 
Published: July 2024

AbstractCompact and pole-controllable resonators and bandpass filter (BPF) using a composite right/left-handed transmission line (CRLH-TL) are designed in this study. The distributed constant line in the CRLH-TL has applied a tap-coupling technique, and one tap-coupled stub is loaded with the left-handed (LH) circuit. Attenuation poles are generated when the input susceptance of the stub diverges. In the tap-coupled CRLH-TL resonator, the attenuation pole is controlled at either the desired lower or higher region frequency than a resonant frequency by adjusting the circuit parameters. Also, the BPF constructed by the CRLH-TL resonators is designed based on a filter design theory, where the attenuation poles are located at lower and higher region frequencies than a negative-first-order frequency. The BPF with microstrip structure is fabricated using MEGTRON6 R-5775 ($$\varepsilon _\text {r}$$

ε
r

: 3.7, h: 0.63 mm, t: 18 μm), chip capacitors, and wire inductors. The simulated results show that the desired characteristics are approximately satisfied, i.e., we can design the CRLH-TL BPF which is controllable for the attenuation poles at both lower and higher region frequencies than a resonant frequency. The measured results are good agreement with the simulation. The negative-first-order frequency is generated at 2.00 GHz with 133 MHz bandwidth, i.e., the fractional bandwidth is 6.65 %. The resonator lengths in the BPF are shortened by 81.5 % and 75.0 % in comparison with a conventional half-wavelength ($$\lambda /2$$

λ
/
2

) openstub, and the size of the fabricated BPF is 0.18 $$\lambda _\text {g} \times$$

λ
g

×

0.17 $$\lambda _\text {g}$$

λ
g

. Therefore, a compact BPF with two controllable attenuation poles is realized by the tap-coupled CRLH-TL.
Study on bending fatigue performance of recycled aggregate backfill subgrade
Authors: Zehui Chen , Xiaowei Feng , Xinjun Fang , Shijun Wu 
Published: July 2024

AbstractRecycled aggregate (RA), as a backfill subgrade material, has strong reproducibility and environmental protection, which cannot only effectively reduce resource consumption and environmental pollution but also achieve recycling of resources. Therefore, a study on the bending fatigue performance of RA backfill subgrade is proposed. Based on linear elastic state, softening state, and damage accumulation state, the variation law of bending fatigue damage variables is analyzed, and the stiffness of RA under cyclic load is calculated. According to the correlation between fatigue damage corresponding to two different load links and the constitutive relationship of RA, the identification results of bending fatigue damage state based on RA backfilling subgrade is obtained. The advantages of the fatigue damage model of RA are analyzed, and the fatigue life equation is established based on the damage evolution equation. Strain, stiffness modulus, asphalt saturation, and asphalt mixture adjustment coefficient are selected as model parameters to establish the fatigue damage model of RA. The flexural bearing capacity of the double-reinforced rectangular section is calculated, and the flexural fatigue performance of RA backfill subgrade is analyzed. The test results show that the high stress level in this method leads to a sharp decline in the fatigue life of the specimen, and the influence of fatigue damage gradually appears, which is helpful to improve the durability and safety of the subgrade structure. The range of change shows a small range, which is close to the reduction coefficient result, indicating that this method has high reliability in analyzing the bending fatigue performance of RA backfill subgrade.
A deep learning-based toolkit for 3D nuclei segmentation and quantitative analysis in cellular and tissue context
Authors: Vijayan Athul , Mody Tejasvinee Atul , Yu Qin , Wolny Adrian , Cerrone Lorenzo , Strauss Soeren , Tsiantis Miltos , Smith Richard S. , Hamprecht Fred A. , Kreshuk Anna , Schneitz Kay 
Published: July 2024

ABSTRACT
We present a new set of computational tools that enable accurate and widely applicable 3D segmentation of nuclei in various 3D digital organs. We have developed an approach for ground truth generation and iterative training of 3D nuclear segmentation models, which we applied to popular CellPose, PlantSeg and StarDist algorithms. We provide two high-quality models trained on plant nuclei that enable 3D segmentation of nuclei in datasets obtained from fixed or live samples, acquired from different plant and animal tissues, and stained with various nuclear stains or fluorescent protein-based nuclear reporters. We also share a diverse high-quality training dataset of about 10,000 nuclei. Furthermore, we advanced the MorphoGraphX analysis and visualization software by, among other things, providing a method for linking 3D segmented nuclei to their surrounding cells in 3D digital organs. We found that the nuclear-to-cell volume ratio varies between different ovule tissues and during the development of a tissue. Finally, we extended the PlantSeg 3D segmentation pipeline with a proofreading tool that uses 3D segmented nuclei as seeds to correct cell segmentation errors in difficult-to-segment tissues.
Deletion of the Ebf1, a mouse deafness gene, causes a dramatic increase in hair cells and support cells of the organ of Corti
Authors: Powers Kathryn G. , Wilkerson Brent A. , Beach Kylie E. , Seo Sophie S. , Rodriguez Jose S. , Baxter Ashton N. , Hunter Sarah E. , Bermingham-McDonogh Olivia 
Published: July 2024

ABSTRACT
Following up on our previous observation that early B cell factor (EBF) sites are enriched in open chromatin of the developing sensory epithelium of the mouse cochlea, we investigated the effect of deletion of Ebf1 on inner ear development. We used a Cre driver to delete Ebf1 at the otocyst stage before development of the cochlea. We examined the cochlea at postnatal day (P) 1 and found that the sensory epithelium had doubled in size but the length of the cochlear duct was unaffected. We also found that deletion of Ebf1 led to ectopic sensory patches in the Kölliker's organ. Innervation of the developing organ of Corti was disrupted with no obvious spiral bundles. The ectopic patches were also innervated. All the extra hair cells (HCs) within the sensory epithelium and Kölliker's organ contained mechanoelectrical transduction channels, as indicated by rapid uptake of FM1-43. The excessive numbers of HCs were still present in the adult Ebf1 conditional knockout (cKO) animal. The animals had significantly elevated auditory brainstem response thresholds, suggesting that this gene is essential for hearing development.
Focal adhesion kinase signaling – tumor vulnerabilities and clinical opportunities
Authors: Schlaepfer David D. , Ojalill Marjaana , Stupack Dwayne G. 
Published: July 2024

ABSTRACT
Focal adhesion kinase (FAK; encoded by PTK2) was discovered over 30 years ago as a cytoplasmic protein tyrosine kinase that is localized to cell adhesion sites, where it is activated by integrin receptor binding to extracellular matrix proteins. FAK is ubiquitously expressed and functions as a signaling scaffold for a variety of proteins at adhesions and in the cell cytoplasm, and with transcription factors in the nucleus. FAK expression and intrinsic activity are essential for mouse development, with molecular connections to cell motility, cell survival and gene expression. Notably, elevated FAK tyrosine phosphorylation is common in tumors, including pancreatic and ovarian cancers, where it is associated with decreased survival. Small molecule and orally available FAK inhibitors show on-target inhibition in tumor and stromal cells with effects on chemotherapy resistance, stromal fibrosis and tumor microenvironment immune function. Herein, we discuss recent insights regarding mechanisms of FAK activation and signaling, its roles as a cytoplasmic and nuclear scaffold, and the tumor-intrinsic and -extrinsic effects of FAK inhibitors. We also discuss results from ongoing and advanced clinical trials targeting FAK in low- and high-grade serous ovarian cancers, where FAK acts as a master regulator of drug resistance. Although FAK is not known to be mutationally activated, preventing FAK activity has revealed multiple tumor vulnerabilities that support expanding clinical combinatorial targeting possibilities.
Campylobacter: understanding its role as the primary bacterial cause of food-borne illnesses – current state of knowledge
Authors: Nowak Martyna , Rak Kacper , Kłosowska Wiktoria , Błaszczyszyn Katarzyna , Gaweł-Dąbrowska Dagmara , Paluch Emil 
Published: July 2024

Introduction
Campylobacteriosis, caused primarily by Campylobacter jejuni and Campylobacter coli, is a significant public health concern worldwide. Since 2007 it has been the most frequently reported zoonotic disease in humans across the European Union. Campylobacteriosis is also the leading cause of bacterial diarrhea.

Aim of the study
This review aims to provide a comprehensive overview of the epidemiology, clinical manifestations, transmission dynamics, diagnostic approaches, and prevention strategies associated with Campylobacter infections.

Brief description of the state of knowledge
The transmission of Campylobacter spp. typically occurs via the fecal-oral route, with contaminated food, especially poultry, and water serving as common sources of infection. Notably, Campylobacter infections exhibit distinct seasonal patterns and demographic trends, with children and young adults being particularly susceptible. Clinical manifestations range from mild gastrointestinal symptoms to more severe complications, such as reactive arthritis, and Guillain-Barré syndrome. Diagnosis usually relies on microbiological testing. Some of these methods require specialized cultivation techniques, with challenges posed by the phenotypic diversity of Campylobacter species.

Summary
Effective surveillance and prevention strategies are essential for mitigating the burden of campylobacteriosis and its associated sequelae on both individual and population health. Current research focuses on improving preventive measures, underscoring the importance of advancing public health strategies, and further studies into the epidemiology, pathogenesis, and treatment options. These efforts are crucial for effectively addressing Campylobacteriosis and reducing its effects on human health and agriculture.
Third-Degree Price Discrimination in Two-Sided Markets
Authors: de Cornière Alexandre , Mantovani Andrea , Shekhar Shiva 
Published: July 2024

We investigate the welfare effects of third-degree price discrimination by a two-sided platform that enables interaction between buyers and sellers. Sellers are heterogeneous with respect to their per-interaction benefit, and, under price discrimination, the platform can condition its fee on sellers’ type. In a model with linear demand on each side, we show that price discrimination (i) increases participation on both sides, (ii) enhances total welfare, and (iii) may result in a strict Pareto improvement, with both seller types being better off than under uniform pricing. These results, which are in stark contrast to the traditional analysis of price discrimination, are driven by the existence of cross-group network effects. By improving the ability to monetize seller participation, price discrimination induces the platform to attract more buyers, which then increases seller participation. The Pareto improvement result means that even those sellers who pay a higher price under discrimination can be better off, because of the increased buyer participation. This paper was accepted by Joshua Gans, business strategy. Funding: A. de Cornière acknowledges funding from ANR [Grant ANR-17-EURE-0010] (Investissements d’Avenir program). Supplemental Material: The online appendix is available at https://doi.org/10.1287/mnsc.2023.02788 .
Facility Location Problem: Modeling Joint Disruptions Using Subordination
Authors: Malladi Vishwakant , Muthuraman Kumar 
Published: July 2024

We study the facility location problem with disruptions where the objective is to choose a set of locations that minimizes the sum of expected servicing and setup costs. Disruptions can affect multiple locations simultaneously and are caused by multiple factors like geography, supply chain characteristics, politics, and ownership. Accounting for the various factors when modeling disruptions is challenging due to a large number of required parameters, the lack of calibration methodologies, the sparsity of disruption data, and the number of scenarios to be considered in the optimization. Because of these reasons, existing models neglect dependence or prespecify the dependence structures. Using partially subordinated Markov chains, we present a comprehensive approach that starts from disruption data, models dependencies, calibrates the disruption model, and optimizes location choices. We construct a metric and a calibration algorithm that learns from the data the strength of dependence, the number of necessary factors (subordinators), and the locations each subordinator affects. We prove that our calibration approach yields consistent estimates of the model parameters. Then, we introduce a variant of the standard approach to the underlying optimization problem, which leverages partially subordinated Markov chains to solve it quickly and precisely. Finally, we demonstrate the efficacy of our approach using twelve different disruption data sets. Our calibrated parameters are robust, and our optimization algorithm performs better than the simulation-based algorithm. The solutions from our model for disruptions have lower costs than those from other disruption models. Our approach allows for better modeling of disruptions from historical data and can be adapted to other problems in logistics, like the hub location, capacitated facility location, and so on., with joint disruptions. Supplemental Material: The online appendix is available at https://doi.org/10.1287/trsc.2023.0103 .
Key extracellular proteins and TF-miRNA co-regulatory network in diabetic foot ulcer: Bioinformatics and experimental insights
Authors: Lin Guanlin , Liu Ximing 
Published: July 2024

Background
Diabetic foot ulcers (DFUs), a serious complication of diabetes, are associated with abnormal extracellular protein (EP) metabolism. The identification of key EPs and their regulatory networks is crucial for the understanding of DFU formation and development of effective treatments. In this study, a large-scale bioinformatics analysis was conducted to identify potential therapeutic targets and experimental validation was performed to ensure the reliability and biological relevance of the findings.

Methods
Due to the comprehensive profiling of DFU samples provided by the GSE80178 dataset, we initially selected it to derive differentially expressed genes (DEGs) associated with DFU. Subsequently, utilizing the UniProt database and annotated EP list from the Human Protein Atlas annotation database, we screened for extracellular protein–related differentially expressed genes (EP-DEGs) due to their crucial role in the pathogenesis and healing of DFU. We examined EP-DEG pathway enrichment and protein-protein interaction networks, analyzed paired full-thickness skin tissue samples from 24 patients with DFUs and healthy controls, and performed polymerase chain reaction (PCR) experiments to validate candidate genes. Ultimately, we constructed a transcription factor (TF)-microRNA (miRNA)–hub gene co-regulatory network to explore upstream and downstream regulatory connections based on validated DEGs.

Results
Four crucial candidate genes (FMOD, LUM, VCAN, and S100A12) were identified and verified via PCR analysis. The TF-miRNA-hub EP-DEG regulatory network contained the pivotal TFs TRIM28 and STAT3 and the miRNAs hsa-mir-20a-5p, hsa-miR-21, and hsa-miR-203.

Conclusion
The findings of this study advance our understanding of the pathology of DFU by defining key roles of specific EPs and elucidating a comprehensive regulatory network. These insights pave the way for novel approaches to improve DFU treatment outcomes.
Neuroimaging Evidence for Clinical Hypnosis and its Relationship with the Triple Network Model of Psychopathology: An fMRI Perspective
Authors: Bralić Duje 
Published: July 2024

Background: The neural correlates of hypnosis remain incompletely characterized despite recognition of its clinical utility. Examining functional connectivity changes in large-scale brain networks during hypnosis can provide insights into cognitive control, dissociation, and self-awareness while guiding optimized clinical use cases across various conditions.
Objectives: This study aimed to systematically review fMRI studies of hypnosis, qualitatively synthesize evidence regarding its impact on connectivity within and between the default mode, salience, and executive control networks, and offer recommendations for future research by identifying gaps and inconsistencies in existing literature and methodology.
Methods: PubMed, PsycINFO, Scopus and Web of Science and other databases were systematically searched for fMRI studies on hypnosis. Peer-reviewed articles written in English were screened against eligibility criteria. Study data were extracted into a standardized form and quality assessed using a Newcastle-Ottawa Scale. A qualitative synthesis was performed focused on hypnosis effects on connectivity within and between the default mode, salience, and central executive networks.
Results: 35 experimental studies met inclusion criteria (n=689 participants). The review found heterogeneous effects on network connectivity during hypnosis, with both increased and decreased connectivity reported depending on suggestions used. The evidence indicates potential therapeutic effects for pain and anxiety, but overall direct clinical support was limited. Preliminary findings suggest hypnosis impacts connectivity between salience/executive control networks, enhancing top-down regulation of interoception and affect. Reduced connectivity was also reported within default mode regions involved in internal mentation like the posterior cingulate cortex and precuneus.
Conclusions: While the literature exhibits variability in protocols and results, findings overall indicate that hypnosis exerts top-down influence on internal mentation, attentional control, and emotional processing through altering functional interactions between cortical and subcortical brain regions. Inconsistencies arising from methodological variations and study heterogeneity constrain definitive conclusions. Addressing these limitations through standardized protocols and comparisons based on universal large scale brain network taxonomy would strengthen the evidence for the neural signature of hypnosis and enhance its applicability in various contexts.
The Revised United States Preventive Services Task Force Screening Recommendations and Racial/Ethnic Differences in Colorectal Cancer Screening in a Boston Healthcare System
Authors: Anyane-Yeboa Adjoa , Haas Jennifer S. , Bhat Roopa , Brodney Suzanne , Chang Yuchiao , May Folasade P. 
Published: July 2024

INTRODUCTION:
To evaluate the impact of the updated United States Preventive Services Task Force colorectal cancer (CRC) screening recommendations on screening rates in a large health system.

METHODS:
We reviewed Massachusetts General Brigham electronic health record data for individuals eligible for CRC screening between January 3, 2020, and January 5, 2023, and calculated whether age-eligible individuals were up-to-date with CRC screening.

RESULTS:
There were large declines in the percentage of individuals who were up-to-date with CRC screening for all racial/ethnic groups, with non-Hispanic Asians being largest (−13.5%).

DISCUSSION:
Health systems should implement culturally tailored strategies to reach and screen newly eligible individuals for CRC screening to prevent worsening disparities in CRC.
Privacy versus pedagogy – students’ perceptions of using learning analytics in higher education
Authors: Soffer Tal , Cohen Anat 
Published: July 2024

The rapid recent use of learning analytics (LA) in higher education, specifically during the COVID-19 pandemic, allows the monitoring of users' behavior while learning. Using LA may promote students' learning outcomes but also intrude into their privacy. This study aimed to explore students’ behaviour and perceptions towards privacy and data protection when using LA for pedagogical needs, examine the privacy trade-off of students' willingness to share personal information in exchange for pedagogical benefits and understand the predicting variables for this privacy trade-off. A model was developed containing five groups of influencing variables (demographic data, perceptions, feelings, behaviour and awareness) on the privacy trade-off. A total of 1,014 students completed an online questionnaire. The results found that students do care about their privacy but are not aware of privacy and data protection regulations. They are willing to trade off privacy for pedagogical benefits, and they trust their academic institutions, but they want transparency. Age, a sense of security in the academic institution, behaviour, data misuse concern and institution management of students' personal information are the significant predictors for a privacy trade-off. It is important to engage students in the process as they are the main beneficiaries of LA and build trust between them and the institution.

Implications for practice or policy:

Academic institution should actively provide information to raise privacy awareness.
Academic institutions should engage students in the process of using LA to create a high degree of trust.
Universities should endorse LA policy, fostering it for pedagogical purposes.
Instructors may utilise LA to enrich student learning, respecting their willingness to share pedagogical data.
Academic institutions should provide a high level of transparency in order to build students’ trust in their institutions.