bluuebunny/crossref_metadata_2025_split huggingface dataset:
Magnetization switching and performance of an optimized bicomponent multiferroic nanomagnet
Authors: Xia Yongshun , Yang Xiaokuo , Dou Shuqing , Cui Huanqing , Wei Bo , Liang Bujia , Yan Xu 
Published: April 2024

Achieving complete magnetization switching is a significant challenge in the electrical control of magnetic devices. In this paper, we propose a structure called bicomponent multiferroic nanomagnet (BMN) to study strain-mediated magnetization switching behavior. The BMN consists of a complete piezoelectric layer and a magnetostrictive layer made of bicomponent magnetic materials. Our team successfully developed a dynamic model for the magnetization of BMNs. By micromagnetic simulation, the results show that the strict requirements for a precise applied voltage period can be overcome in such a BMN, and a 180° magnetization switching can be achieved with only a square-wave voltage signal and a pulse width (tth) larger than 0.5 ns, given that the amplitude of the voltage is 60 mV. In addition, we also investigated the tolerance window of material composition and geometry, and proved that BMNs have sufficient error margins and the switching rate of BMNs can reach 1.67 GHz within the error margins at room temperature. Our proposed BMN device has a simple structure and low energy consumption as it does not require precise piezoelectric layer design or stringent voltage clocking requirements. The energy consumption per switching is only 7.3 aJ. These findings provide significant guidance for the design of nanomagnetic logic and memory devices and lay a strong foundation for the application of strain-mediated magnetization switching technology.
Palladium/coconut husk biochar composite material as an effective electrocatalyst for ethanol oxidation reaction
Authors: Rañoa Mary Elyssa R , Villanueva Matthew L , Laxamana Justienne Rei P , Necesito Hannah Grace G , Tongol Bernard John V 
Published: April 2024

Abstract
This study utilised coconut husk biochar as an alternative sustainable carbon support for Pd-based electrocatalyst for ethanol oxidation reaction in basic medium. Coconut husk biochar (BC) was prepared via slow pyrolysis at 800 °C for 1 h at a ramp rate of 5 °C min−1. The Pd/BC catalyst was prepared via borohydride-facilitated reduction of palladium chloride solution. TEM analysis revealed good dispersion of the Pd nanoparticles on the biochar support with particle size ranging from 1.9 to 3.4 nm. Cyclic voltammetry (CV) measurements of Pd/BC in 1.0 M ethanol in 0.1 M KOH gave an on-set potential of −0.615 V (versus Ag/AgCl) with a forward peak current density of 23.87 mA cm−2, which is slightly higher than the commercial Pd/C catalyst. The Pd/BC also has a higher electrochemical stability and durability than the commercial Pd/C catalyst based on chronoamperometry studies (i.e., 44.43% versus 39.64% current retention). The synthesised coconut husk biochar–supported Pd catalyst exhibited promising results for ethanol oxidation reaction for alkaline direct ethanol fuel cell application.
Nano-Raman spectroscopy of 2D materials
Authors: Jorio Ado , Nadas Rafael , Pereira Andre G , Rabelo Cassiano , Gadelha Andreij C , Vasconcelos Thiago L , Zhang Wenjin , Miyata Yasumitsu , Saito Riichiro , Costa Márcia D D , Cançado Luiz Gustavo 
Published: April 2024

Abstract
The use of nano-Raman spectroscopy to study two-dimensional (2D) systems is presented here. The nano (tip-enhanced) Raman spectroscopy technique is briefly introduced, addressing some new theoretical aspects for Raman spectroscopy in the near-field regime, including field coherence, field distribution and the relevance of atomic description and quenching effects. State-of-the-art results in graphene and transition metal dichalcogenides are presented, exploring the connection between micro- and nano-Raman metrology. Various aspects such as defects, homojunctions, twisted-bilayer structures, localized emissions at bubbles, wrinkles, and borders, as well as substrate and coherence effects are addressed in detail. The paper concludes by outlining the perspectives for nano-Raman spectroscopy in 2D systems, highlighting its potential for advancing our understanding of nanoscale phenomena and facilitating further breakthroughs in materials science and characterization.
Tuning the water interlayer spacer of microwave-synthesized holey graphene films towards high performance supercapacitor application
Authors: Bi Kun , Jiang Xinyu , Sun Haofan , Dou Yan , Nile Richard , Wang Dini , Rubbi Fazlay , Zhang Xing , Wang Yan , Liao Yiliang , Jin Kailong , Zhuang Houlong , Kang Wonmo , Nian Qiong 
Published: April 2024

Abstract
Graphene-based electrodes have been extensively investigated for supercapacitor applications. However, their ion diffusion efficiency is often hindered by the graphene restacking phenomenon. Even though holey graphene (hG) is fabricated to address this issue by providing ion transport channels, those channels could still be blocked by densely stacked graphene nanosheets. To tackle this challenge, this research aims at improving the ion diffusion efficiency of microwave-synthesized hG films by tuning the water interlayer spacer towards the improved supercapacitor performance. By controlling the vacuum filtration during graphene-based electrode fabrication, we obtain dry films with dense packing and wet films with sparse packing. The SEM images reveal that 20 times larger interlayer distance is constructed in the wet film compared to that in the dry counterpart. The hG wet film delivers a specific capacitance of 239 F g−1, ∼82% enhancement over the dry film (131 F g−1). By an integrated experimental and computational study, we quantitatively show that the interlayer spacing in combination with the nanoholes in the basal plane dominates the ion diffusion rate in hG-based electrodes. Our study concludes that novel hierarchical structures should be further considered even in hG thin films to fully exploit the superior advantages of graphene-based supercapacitors.
Revealing hidden injustice: barriers to citizen participation among migrants in the energy transition of the Hague
Authors: ten Caat Sander , van Uffelen Nynke , Cuppen Eefje 
Published: April 2024

Abstract
Citizen participation is key to learn of actors’ lived experiences for the design of just energy policies. Many members of society, however, experience barriers to participation. As a result, the injustices they experience are likely to remain hidden from public decision-making processes. This paper applies the ‘hidden morality’ framework to a case study of migrants with a low socio-economic status (SES) in the Dutch city of The Hague. Through the analysis of 15 policy documents and 26 semi-structured interviews with migrants in a low-SES neighbourhood, this paper uncovers hidden injustices and the societal mechanisms forming barriers to participation. Simultaneously, the case study is used to test the conceptual framework. The study reveals that the interviewed low-SES migrants were not only considerably prevented from expressing their perceived injustices in decision-making, but were also unaware that they were subject to several procedural injustices. We identify three main barriers withholding low-SES migrants from participating in decision-making: unfamiliarity with (Dutch) democratic institutions and of their rights as citizens; language barriers; and weak social ties in their neighbourhoods. We conclude that the hidden morality framework proves useful for revealing injustices and barriers to participation that would otherwise run the risk of remaining hidden from scholars and policymakers.
A study on secured encryption of medical images using significant visual cryptography
Authors: H M Vijayalaxmi , Rao Arjun Sunil , Khan A M , Kotyan Deeksha , D Disha , R Pratheeksha , Rao Chinmayee 
Published: April 2024

Abstract
The medical images of people are important and sensitive and cannot be shared with the public considering privacy measures. Maintaining the confidentiality of the medical image is essential, and leakage of such information can cause great loss. Therefore, the information has to be secured while being transferred through a third party, which can be any network medium. Thus, there is a need for developing a robust encryption algorithm. These algorithms improve the security of the ongoing pictures by compromising the nature of the picture and utilizing complex calculations. Algorithms that work on the nature of the picture by utilizing complex cycles, for example, error diffusion, halftoning, wavelet transform, and dithering, lead to time complexity. Thus, a compact and efficient cryptographic algorithm is proposed with fewer mathematical computations that ensure the secured transmission and reception of medical images through the medium using Significant Visual Cryptography (SVC). In SVC, initially, the quality of the secret images (SI) is improved by using the Error Abatement Technique (EAT). The output of EAT is used to generate random share values, which are then implanted in cover pictures. The shares that are transmitted do not reveal the secret information present in the original image because of the steganography features involved in this technique. The integrated check value (ICV) is calculated over the region of interest (ROI) at the encryption and decryption sides to provide additional security. Quality and security analyses have been carried out to ensure the robustness of the algorithm. The detailed study proved that the proposed algorithm beat the constraints of the current calculations. The concept of checking the integrity value and steganography features enhanced the effectiveness of the algorithm.
Noise exposure assessment of workers inspecting construction machinery vehicles in the Republic of Korea
Authors: Jeong Yeon-hee , Jeong Seong-mo , Lee Woo-je , Kim Ki-Youn 
Published: April 2024

Abstract
Previous studies have investigated the health hazards caused by exposure to the noise of heavy equipment used at construction sites. Korea’s Ministry of Land, Infrastructure, and Transport operates a registration system for construction machinery, and regular safety inspections are mandatory. Although workers inspecting construction machinery vehicles are exposed to unwanted noise, no noise exposure assessment has been made regarding these workers in Korea. The time-weighted average (TWA) daily average noise exposure level among construction machinery inspectors at 18 inspection centers was 75.3 dB(A). Among the inspection steps, the exhaust gas inspection step was found to exhibit the highest noise exposure level, up to 100 dB(A). In Korea, if the noise level of a workplace exceeds 85 dB(A) as a TWA, workers are required to undergo special medical examinations. This study found that special medical examinations were required for two of the 18 target inspection centers (approximately 115 workers) as the 8-hour TWA noise level exceeded 85 dB(A). Therefore, regular noise exposure assessment and special medical examinations for noise are required to prevent inspectors from developing hearing disorders due to noise exposure.
Imaging findings after a total reconstructed breast with autologous fat transfer: what the radiologist needs to know
Authors: Rijkx Maud E P , Heuts Esther M , Houwers Janneke B , Hommes Juliette E , Piatkowski Andrzej A , van Nijnatten Thiemo J A 
Published: April 2024

Abstract

Autologous fat transfer (AFT) is an upcoming technique for total breast reconstruction. Consequently, radiological imaging of women with an AFT reconstructed breast will increase in the coming years, yet radiological experience and evidence after AFT is limited.

The surgical procedure of AFT and follow-up with imaging modalities including mammography (MG), ultrasound (US), and MRI in patients with a total breast reconstruction with AFT are summarized to illustrate the radiological normal and suspicious findings for malignancy.

Imaging after a total breast reconstruction with AFT appears to be based mostly on benign imaging findings with an overall low biopsy rate. As higher volumes are injected in this technique, the risk for the onset of fat necrosis increases. Imaging findings most often are related to fat necrosis after AFT. On MG, fat necrosis can mostly be seen as oil cysts. The occurrence of a breast seroma after total breast reconstruction with AFT is an unfavourable outcome and may require special treatment. Fat deposition in the pectoral muscle is a previously unknown, but benign entity. Although fat necrosis is a benign entity, it can mimic breast cancer (recurrence).

In symptomatic women after total breast reconstruction with AFT, MG and US can be considered as first diagnostic modalities. Breast MRI can be used as a problem-solving tool during later stage. Future studies should investigate the most optimal follow-up strategy, including different imaging modalities, in patients treated with AFT for total breast reconstruction.
Parallel genetic screens identify nuclear envelope homeostasis as a key determinant of telomere entanglement resolution in fission yeast
Authors: Nageshan Rishi Kumar , Krogan Nevan , Cooper Julia Promisel 
Published: April 2024

Abstract
In fission yeast lacking the telomere binding protein, Taz1, replication forks stall at telomeres, triggering deleterious downstream events. Strand invasion from one taz1Δ telomeric stalled fork to another on a separate (nonsister) chromosome leads to telomere entanglements, which are resolved in mitosis at 32°C; however, entanglement resolution fails at ≤20°C, leading to cold-specific lethality. Previously, we found that loss of the mitotic function of Rif1, a conserved DNA replication and repair factor, suppresses cold sensitivity by promoting resolution of entanglements without affecting entanglement formation. To understand the underlying pathways of mitotic entanglement resolution, we performed a series of genome-wide synthetic genetic array screens to generate a comprehensive list of genetic interactors of taz1Δ and rif1Δ. We modified a previously described screening method to ensure that the queried cells were kept in log phase growth. In addition to recapitulating previously identified genetic interactions, we find that loss of genes encoding components of the nuclear pore complex (NPC) promotes telomere disentanglement and suppresses taz1Δ cold sensitivity. We attribute this to more rapid anaphase midregion nuclear envelope (NE) breakdown in the absence of these NPC components. Loss of genes involved in lipid metabolism reverses the ability of rif1+ deletion to suppress taz1Δ cold sensitivity, again pinpointing NE modulation. A rif1+ separation-of-function mutant that specifically loses Rif1's mitotic functions yields similar genetic interactions. Genes promoting membrane fluidity were enriched in a parallel taz1+ synthetic lethal screen at permissive temperature, cementing the idea that the cold specificity of taz1Δ lethality stems from altered NE homeostasis.
Utility of Cystatin C-based Equation for the Estimation of Glomerular Filtration Rate in a Pediatric Population
Authors: Ibrahim Ridwan B , Srivaths Poyyapakkam , Tam Estella , Devaraj Sridevi 
Published: April 2024

Abstract

Background
The accurate assessment of kidney function is vital for the early detection of kidney damage. The estimated glomerular filtration rate GFR (eGFR) from serum cystatin C (CysC) and creatinine-based equations are commonly used in clinical practice as an alternative to the invasive measured glomerular filtration rate (mGFR), which is the usually accepted overall best index of kidney function in health and disease. Recently the CKiD under 25 (CkiD U25) equations have been shown to perform well in children and young adults with chronic kidney disease (CKD). In this focused report, we evaluated the performance of the CkiD U25 equations alongside 3 non-race-corrected (NRC) eGFR equations commonly used in pediatrics in our cohort.

Methods
mGFR measured following the intravenous injection of tracer Tc-99mDTPA was retrospectively compared with eGFR from these equations in 57 patients (6 months to 22 years) from different races/ethnicities. Ordinary least squares regression analyses were used to assess correlation between the mGFRs and eGFRs.

Results
The average mGFR for this cohort was 84.1 mL/min/1.73 m2. The NRC creatinine equations overestimated eGFR across all groups, with the lowest bias for CKiD U25-creatinine (22.59 mL/min/1.73 m2). The best correlations to mGFR, P30, and lowest biases were the CKiD U25-CysC (0.6281, 80.7%, 3.72 mL/min/1.73 m2) and Schwartz CysC (0.6372, 77.2%, −4.68 mL/min/1.73 m2).

Conclusions
Overall, both CKiD U25-CysC and Schwartz CysC provide a good estimation of mGFR with the CKiD U25-CysC having the overall best performance compared to mGFR in our study.
Cosmetic penile enhancement procedures: an SMSNA position statement
Authors: Trost Landon , Watter Daniel N , Carrier Serge , Khera Mohit , Yafi Faysal A , Bernie Helen L , Ziegelmann Matthew , Köhler Tobias 
Published: April 2024

Abstract

Background
Penile cosmetic enhancement procedures have been performed for many years with varying success. However, they have historically been relegated to niche areas of sexual medicine, with limited data, and have not achieved mainstream adoption. More recently, the topic has been increasingly discussed within academic congresses due to availability of novel techniques, therapies, and procedures. Given their distinctive nature, the Sexual Medicine Society of North America (SMSNA) felt that it was pertinent to develop formal position statements to help guide both patients and sexual medicine providers on the current state of the scientific literature and to give recommendations for future research.

Aim
The study sought to provide an evidence-based set of recommendations for injection and surgical procedures designed to lengthen, augment, or otherwise cosmetically enhance the penis.

Methods
A review was performed of all scientific literature listed in PubMed from inception through December 2023 relating to penile cosmetic enhancement procedures. Only invasive (injection/surgery) therapies were included due to their distinct risk-benefit profile compared with more conservative treatments (eg, vacuum erection devices, penile traction devices). Similar therapies were categorized, with pertinent data summarized and used to help create relevant position statements. All statements were expert opinion only and were based on analyses of the potential risks and benefits of the specific therapies.

Outcomes
A total of 6 position statements were issued relating to 5 distinct sexual medicine cosmetic enhancement procedures.

Results
A consensus opinion was reached by SMSNA leadership on the state of injection/surgical penile cosmetic enhancement procedures as of 2024. Key topic areas addressed included injectable soft tissue fillers, suspensory ligament division, graft-and-flap procedures, silicone sleeve implants, and sliding/slicing techniques. Distinct recommendations were tailored to each therapy and were based solely on the current state of the literature. It is anticipated that future studies will further inform position statements and will lead to ongoing modifications.

Clinical Implications
The current position statements provide both patients and clinicians evidence-based, expert recommendations on best practices relating to penile cosmetic enhancement procedures.

Strengths and Limitations
Strengths include the use of an expert panel of sexual medicine clinicians, consensus design, and summary of existing literature. Limitations include expert opinion and limited research on the topic.

Conclusion
The current SMSNA position statements provide evidence-based, consensus opinions on the appropriate role for penile augmentation and cosmetic procedures in 2024.
Is medieval distant viewing possible? : Extending and enriching annotation of legacy image collections using visual analytics
Authors: Meinecke Christofer , Guéville Estelle , Wrisley David Joseph , Jänicke Stefan 
Published: April 2024

Abstract
Distant viewing approaches have typically used image datasets close to the contemporary image data used to train machine learning models. To work with images from other historical periods requires expert annotated data, and the quality of labels is crucial for the quality of results. Especially when working with cultural heritage collections that contain myriad uncertainties, annotating data, or re-annotating, legacy data is an arduous task. In this paper, we describe working with two pre-annotated sets of medieval manuscript images that exhibit conflicting and overlapping metadata. Since a manual reconciliation of the two legacy ontologies would be very expensive, we aim (1) to create a more uniform set of descriptive labels to serve as a “bridge” in the combined dataset, and (2) to establish a high-quality hierarchical classification that can be used as a valuable input for subsequent supervised machine learning. To achieve these goals, we developed visualization and interaction mechanisms, enabling medievalists to combine, regularize and extend the vocabulary used to describe these, and other cognate, image datasets. The visual interfaces provide experts an overview of relationships in the data going beyond the sum total of the metadata. Word and image embeddings as well as co-occurrences of labels across the datasets enable batch re-annotation of images, recommendation of label candidates, and support composing a hierarchical classification of labels.
Machine Learning-based Analysis of Publications Funded by the National Institutes of Health's Initial COVID-19 Pandemic Response
Authors: Chandrabhatla Anirudha S , Narahari Adishesh K , Horgan Taylor M , Patel Paranjay D , Sturek Jeffrey M , Davis Claire L , Jackson Patrick E H , Bell Taison D 
Published: April 2024

Abstract

Background
The National Institutes of Health (NIH) mobilized more than $4 billion in extramural funding for the COVID-19 pandemic. Assessing the research output from this effort is crucial to understanding how the scientific community leveraged federal funding and responded to this public health crisis.

Methods
NIH-funded COVID-19 grants awarded between January 2020 and December 2021 were identified from NIH Research Portfolio Online Reporting Tools Expenditures and Results using the “COVID-19 Response” filter. PubMed identifications of publications under these grants were collected and the NIH iCite tool was used to determine citation counts and focus (eg, clinical, animal). iCite and the NIH's LitCOVID database were used to identify publications directly related to COVID-19. Publication titles and Medical Subject Heading terms were used as inputs to a machine learning–based model built to identify common topics/themes within the publications.

Results and Conclusions
We evaluated 2401 grants that resulted in 14 654 publications. The majority of these papers were published in peer-reviewed journals, though 483 were published to preprint servers. In total, 2764 (19%) papers were directly related to COVID-19 and generated 252 029 citations. These papers were mostly clinically focused (62%), followed by cell/molecular (32%), and animal focused (6%). Roughly 60% of preprint publications were cell/molecular-focused, compared with 26% of nonpreprint publications. The machine learning–based model identified the top 3 research topics to be clinical trials and outcomes research (8.5% of papers), coronavirus-related heart and lung damage (7.3%), and COVID-19 transmission/epidemiology (7.2%). This study provides key insights regarding how researchers leveraged federal funding to study the COVID-19 pandemic during its initial phase.