bluuebunny/crossref_metadata_2025_split huggingface dataset:
Applying whole-genome and whole-exome sequencing in breast cancer: a review of the landscape
Authors: Ganatra Hetvi , Tan Joecelyn Kirani , Simmons Ana , Bigogno Carola Maria , Khurana Vatsala , Ghose Aruni , Ghosh Adheesh , Mahajan Ishika , Boussios Stergios , Maniam Akash , Ayodele Olubukola 
Published: August 2024

AbstractWhole-genome sequencing (WGS) and whole-exome sequencing (WES) are crucial within the context of breast cancer (BC) research. They play a role in the detection of predisposed genes, risk stratification, and identification of rare single nucleotide polymorphisms (SNPs). These technologies aid in the discovery of associations between various syndromes and BC, understanding the tumour microenvironment (TME), and even identifying unknown mutations that could be useful in future for personalised treatments. Genetic analysis can find the associated risk of BC and can be used in early screening, diagnosis, specific treatment plans, and prevention in patients who are at high risk of tumour formation. This article focuses on the application of WES and WGS, and how uncovering novel candidate genes associated with BC can aid in treating and preventing BC.
Investigation of Joint Action in Go/No-Go Tasks: Development of a Human-Like Eye Robot and Verification of Action Space
Authors: Hayashi Kotaro 
Published: August 2024

AbstractHuman–robot collaboration (HRC) is a natural progression of technological development and can improve job performance, address labor shortages, and reduce labor costs. However, it is still uncertain whether joint action, similar to that occurring between humans, can be replicated between humans and robots. Many robotic researchers have focused on joint action, and it has been demonstrated that gaze cueing plays a significant role in this context. Currently, previous studies on joint action use humanoids; however, robots utilized in the research on human-robot collaboration lack human-like eyes needed for verification. Therefore, this study focuses on the development of an eye robot with gaze-cueing behaviors that can be easily integrated into existing robotic systems. As another theme of this study, we proposed the use of fixation duration as a new metric, which is distinct from the commonly used response time, for the quantitative evaluation of joint action research. These are verified through a Go/No-go task under six conditions—three behavioral (i.e., joint action, joint attention-only, and alone), each with two partner conditions (robot or human partner). While developing a human-like eye robot, this study demonstrates the potential of a robot to be a better joint action partner than an uncertain human, with participants exhibiting the best reaction times when partnered with a robot. The shared action space of the participants was investigated, where a transference of the action space indicates the expression of joint action. The fixation duration indicates that the proposed robot cause participants to move their action space to include that of the robot. These results suggest that the proposed collaborative robot can initiate a joint action between a robot and a human, and can perform as a more effective partner in joint actions compared to an unfamiliar human. This study showcased the capacity of fixation duration as a quantitative assessment metric for joint action.
Application of Digital Image Correlation to Small Punch Test for Determination of Stress–Strain Properties
Authors: Shaik Abdul Rahman , Pandey Aishwary Vardhan , Karthik V. , Kolhatkar Ashish , Abhishek G. , Divakar R. 
Published: August 2024

AbstractThe analysis of the small punch test is based on the force on the moving punch and the deflection data acquired at a single point of the specimen bottom. However, the spatial distribution of stress and strain at any given instant is non-uniform and its variations with increase in punch penetration are quite complex. In this work, the digital image correlation (DIC) technique is integrated with small punch test for in-situ full field strain measurement in the bottom surface of the specimen. The DIC results reveal that with the progression of deformation, the peak equivalent plastic strain at the bottom surface shifts from the center of the specimen to a characteristic radial location, where the strain rapidly builds up and concentrates leading to instability and cracking. Combining DIC-based strain results with finite element model-based stress estimation at the characteristic radial location, a methodology for determining the stress–strain curve from small punch test is formulated and the outcomes are compared with tensile test results for four different metallic alloys.
Endochitinase from the Microsporidia Nosema ceranae facilitates infection in the honey bee Apis mellifera
Authors: da Cruz Souza Amanda Martins , Santos Carolina Gonçalves , Oliveira André Henrique , Carneiro Lenise Silva , Resende Matheus Tudor Cândido Santos de , Oliveira Leandro Licursi , Serrão José Eduardo 
Published: August 2024

AbstractBees are crucial pollinators in terrestrial ecosystems, responsible for 80% of insect-driven pollination and playing a vital role in the pollination of 75% of crops. The honey bee, Apis mellifera, is not only used in honey production but also serves as a pollinator in agriculture. However, A. mellifera faces various challenges, including exposure to pathogens such as the Microsporidia Nosema ceranae, which has been linked to decreased crop yields and colony losses. Nosema ceranae spores infect adult honey bees by penetrating the midgut lumen and invading the cytoplasm of epithelial cells, completing their life cycle. However, the midgut possesses a protective mechanical barrier called the peritrophic matrix, composed of chitin and proteins, which prevents epithelial infection. Nevertheless, N. ceranae overcomes this primary defense mechanism, though the specific mechanisms it employs to cross the peritrophic matrix and reach the midgut epithelium are not yet well understood. This study aimed to investigate the potential role of the predicted endochitinase from N. ceranae to infect bees. We tested the hypothesis that inhibiting the expression of N. ceranae endochitinase through RNA interference would impact the pathogen infection of A. mellifera. Bees treated with dsRNA targeting endochitinase, administered 12 and 24 h after spore inoculation, exhibited suppressed endochitinase gene expression and a decrease in the number of total and viable N. ceranae spores in the midgut. These results indicate that inhibiting the expression of the target gene through RNA interference affects Microsporidia infection, underscoring the importance of this enzyme in the infection process.
Biosorption of Cu+ 2 by Green Algae, Ulva fasciata: Optimization by Response Surface Methodology
Authors: Kadimpati Kishore Kumar , Sanneboina Sujatha , Thadikamala Sathish , Mondithoka Krishna Prasad 
Published: August 2024

AbstractU. fasciata biomass, a green algae was used as adsorbent, investigated and optimized the environmental parameters using central factorial design for the Cu+ 2 removal. Biosorption of Cu+ 2 involves the functional groups –CO, –OH, and N–H of U. fasciata biomass. Various parameters were estimated using Response Surface Methodology (RSM), including pH (4–6), initial Cu+ 2 concentration (60–140 mg L− 1), biomass dosage (0.08–0.40 g L− 1) and temperature (20–40 °C). It was found that the uptake of Cu+ 2 by U. fasciata was 62.31 mg L− 1 at an initial concentration of 80 mg L− 1, a temperature of 35 °C, and a pH of 5.245. In order to analyze the equilibrium data, applied Langmuir, Freundlich, Langmuir-Friendly (L-R), and Redlich-Peterson (L-R) isotherm models. The multiple mechanisms were involved in the removal of Cu+ 2 including chelation, ion-exchange and adsorption on UF biomass. It is believed that the U. fasciata biomass is a suitable material for the removal of Cu+ 2 ions from wastewaters.
CLIP-SP: Vision-language model with adaptive prompting for scene parsing
Authors: Li Jiaao , Huang Yixiang , Wu Ming , Zhang Bin , Ji Xu , Zhang Chuang 
Published: August 2024

AbstractWe present a novel framework, CLIP-SP, and a novel adaptive prompt method to leverage pre-trained knowledge from CLIP for scene parsing. Our approach addresses the limitations of DenseCLIP, which demonstrates the superior image segmentation provided by CLIP pre-trained models over ImageNet pre-trained models, but struggles with rough pixel-text score maps for complex scene parsing. We argue that, as they contain all textual information in a dataset, the pixel-text score maps, i.e., dense prompts, are inevitably mixed with noise. To overcome this challenge, we propose a two-step method. Firstly, we extract visual and language features and perform multi-label classification to identify the most likely categories in the input images. Secondly, based on the top-k categories and confidence scores, our method generates scene tokens which can be treated as adaptive prompts for implicit modeling of scenes, and incorporates them into the visual features fed into the decoder for segmentation. Our method imposes a constraint on prompts and suppresses the probability of irrelevant categories appearing in the scene parsing results. Our method achieves competitive performance, limited by the available visual-language pre-trained models. Our CLIP-SP performs 1.14% better (in terms of mIoU) than DenseCLIP on ADE20K, using a ResNet-50 backbone.
Large Fiber Array Spectroscopic Telescope: Optical Design for a Scalable Unit Telescope
Authors: Berkson Joel , Angel Roger , Bender Chad , Monson Andrew , Gray Peter , Schwab Christian , Foster Warren , Kim Daewook 
Published: August 2024

AbstractThe Large Fiber Array Spectroscopic Telescope (LFAST) concept involves the utilization of 2640 individual, 0.76 m “unit telescopes” to collect light from a target object. Through optical fibers, the lights from all telescope foci are directed to a high-resolution spectrograph, with fibers subtending a 1.47 arcsec diameter on the sky. The total light-collecting area of all telescopes combined is 1200 m2. Given the telescope’s application for spectroscopy of seeing-limited images, the need for coherence is eliminated. The primary goal of the LFAST prototype is to demonstrate a telescope design that can be rapidly and cost-effectively replicated to achieve a 1200 m2 collecting area and match the capabilities of extremely large telescopes (ELTs) presently under construction. Engineering, manufacturing, and design challenges unique to LFAST differ significantly from those encountered in traditional ELTs. Considering that the unit telescope is to be replicated thousands of times, reducing the manufacturing cost per telescope is essential. The aim of the described design is to achieve this goal, with strong considerations for manufacturability, alignment, few moving parts, and high yield. Experience from the first prototype unit telescope built in 2022 will be leveraged to build the first 20-unit tracking module in 2024, with a collecting area of a 3.4-m-diameter mirror. The design is minimalistic and features commercial tolerances, thereby ensuring cost-effectiveness in manufacturing, assembly, and alignment processes. Moreover, the telescope is designed to operate at angles as low as 70° from the zenith by laterally translating a single lens to correct for atmospheric dispersion. We present a combined average of over 80% encircled energy across 2640 Monte Carlo trials. Simulations were conducted using commercially specified tolerances and capabilities to model the overall performance of the array.
Effects of Temperature and Precursor Concentration on the Morphological and Optical Properties of Iron Oxide Nanoparticles
Authors: Mona Lijo P. , Songca Sandile P. , Ajibade Peter A. 
Published: August 2024

AbstractIron oxide nanoparticles are inexpensive materials that are environmentally friendly and have properties that render them suitable for wide range of applications. A facile and time-effective coprecipitation method was used to prepare iron oxide nanoparticles in a 1:1 molar ratio of Fe2+ and Fe3+ ions in solution. Iron oxide nanoparticles obtained at 18 and 60 °C yielded spherical magnetite nanoparticles with particle sizes of 7.63 and 8.5 nm respectively while comprising a mixture of magnetite and hematite nanorods, with a mean width of 9.5 nm and a mean length of 75 nm were obtained at 90 °C. Iron oxide nanoparticles synthesized at 18 °C have energy band gap of 4.16 eV while those synthesized at 60 and 90 °C have the same band gap of 4.66 eV. Precursor concentrations of 0.042, 0.08 and 0.0126 M yielded spherical magnetite nanoparticles with particle sizes of 7.94, 8.5 and 8.5 nm respectively and the particle size range increased with increasing concentration. Magnetite nanoparticles synthesized with concentrations of 0.042, 0.08 and 0.126 M have optical band gaps of 4.65, 4.88 and 5.19 eV respectively. The magnetite crystalline phase was produced regardless of concentration at temperatures of 18 and 60 °C while a temperature of 90 °C yielded a mixture of magnetite and hematite phases. The band optical band gap showed direct proportionality with temperature and concentration in an inert environment.
Effect of acidity of solid acid catalysts during non-oxidative thermal decomposition of LDPE
Authors: Upare Dipali P. , Lee Chul Wee , Lee Don Keun , Kang Young Soo 
Published: August 2024

Abstract
Thermal decomposition of low-density polyethylene (LDPE) was monitored by thermogravimetry under N2 atmosphere in the presence of solid acid catalysts such as alumina (α-Al2O3, γ-Al2O3), crystalline silica-alumina (SA, molar ratio of Si/Al = 0.19) and amorphous silica-alumina catalysts (ASA, molar ratio of Si/Al = 4.9). Crystal structure and surface area of solid acid catalysts were measured by XRD and BET, respectively. The strength and distribution of acid sites of solid acid catalysts were estimated by NH3-TPD. It was observed that total acidity strength is in the order of ASA (1.77 μmmol NH3/g) > AS (1.42 μmol NH3/g) > γ-Al2O3 (1.06 μmol NH3/g) > α-Al2O3 (0.06 μmol NH3/g). Thermal degradation behavior of LDPE with and without solid acid catalyst was monitored by TGA, where heating rates (β) of 5, 10, and 20 °C/min were employed under an inert atmosphere, and their activation energies (Ea), onset temperatures (Tinitial), decomposition temperatures (Tdecomp) were calculated and compared. The activation energy (Ea) was evaluated using the Coats-Redfern method. Solid acid catalysts with stronger acidity and higher surface area showed a decrease in activation energy and onset temperature. Activation energy of LDPE over ASA catalyst is decreased to 97.3 kJ/mol from thermal decomposition of LDPE without catalyst of 117.2 kJ/mol under heating rate of 10 °C/min. The isothermal decomposition of LDPE was monitored at 300 °C for 3 h with a heating rate of 10 °C/min, where 13.1% and 24.2% wt. loss were observed over SA and ASA, respectively, while only 0.7% wt. loss was observed for LDPE without a solid acid catalyst.

Graphical abstract

Single step decomposition of LDPE
Thermal degradation behavior of LDPE monitored by TGA, with different heating rates (β) of 5, 10, 20 °C/min.
Examining human mobility changes during COVID-19 across socioeconomic groups: a comparative analysis of San Diego County and New York City
Authors: Park Jaehee , Tsou Ming-Hsiang , Nara Atsushi , Dodge Somayeh , Cassels Susan 
Published: August 2024

AbstractThe COVID-19 pandemic brought unprecedented changes to various aspects of daily life, profoundly affecting human mobility. These changes in mobility patterns were not uniform, as numerous factors, including public health measures, socioeconomic status, and urban infrastructure, influenced them. This study examines human mobility changes during COVID-19 in San Diego County and New York City, employing Latent Profile Analysis (LPA) and various network measures to analyze connectivity and socioeconomic status (SES) within these regions. While many COVID-19 and mobility studies have revealed overall reductions in mobility or changes in mobility patterns, they often fail to specify ’where’ these changes occur and lack a detailed understanding of the relationship between SES and mobility changes. This creates a significant research gap in understanding the spatial and socioeconomic dimensions of mobility changes during the pandemic. This study aims to address this gap by providing a comprehensive analysis of how mobility patterns varied across different socioeconomic groups during the pandemic. By comparing mobility patterns before and during the pandemic, we aim to shed light on how this unprecedented event impacted different communities. Our research contributes to the literature by employing network science to examine COVID-19’s impact on human mobility, integrating SES variables into the analysis of mobility networks. This approach provides a detailed understanding of how social and economic factors influence movement patterns and urban connectivity, highlighting disparities in mobility and access across different socioeconomic groups. The results identify areas functioning as hubs or bridges and illustrate how these roles changed during COVID-19, revealing existing societal inequalities. Specifically, we observed that urban parks and rural areas with national parks became significant mobility hubs during the pandemic, while affluent areas with high educational attainment saw a decline in centrality measures, indicating a shift in urban mobility dynamics and exacerbating pre-existing socioeconomic disparities.
Study of developing a condensation heat transfer coefficient and pressure drop model for whole reduced pressure ranges
Authors: Ajayi Abiola Samuel , Kim Sugyeong , Yun Rin 
Published: August 2024

AbstractThis study involves the collection of data from 10 different articles to develop experimental-based models for predicting the condensation heat transfer and the frictional pressure drop. The dataset comprises a total of 1168 condensation heat transfer coefficients and 792 frictional pressure drop data. The applied operating range considered is within the reduced pressure of 0.1–0.95, mass flux ranging from 75 to 700 kg/m2s, and an inner diameter between 3.4 and 12.5 mm. We developed the models for the condensation heat transfer coefficient based on Akers et al.’s model, whose parameters are the Prandtl number, density ratio, vapor quality, and mass flux. The total error for the condensation heat transfer coefficient is ± 22.6%. The data is further categorized into two groups of the reduced pressure: Pr < 0.5 with an error of ± 22.9% and Pr > 0.5 with an error of ± 18.9%. The frictional pressure drop models were developed based on the three different ranges of the reduced pressure. The utilized non-dimensionless parameters were the two-phase multiplier (Φlo2), the Bond number (Bo), the Weber number (We), and the Martinelli parameter (Xtt), along with the regression coefficients. Regarding the frictional pressure drop correlation, the total error is ± 32.7%, and the data is divided into three segments: Pr < 0.2 with an error of ± 24.6%, 0.2 < Pr < 0.3 with an error of ± 35.6%, and an error of ± 27.8% for the reduced pressure larger than 0.3. These correlations were developed using the MATLAB regression analysis to enhance their practicality and utility.
Stable Isotope Analysis and Chronology Building at the Hokfv-Mocvse Cultural Site, the Earliest Evidence for South Atlantic Shell-Ring Villages
Authors: Garland Carey J. , Thompson Victor D. , Howland Matthew D. , Gragson Ted L. , Andrus C. Fred T. , Demyan Marcie , Parbus Brett 
Published: August 2024

Abstract
Circular shell rings along the South Atlantic coast of the United States are vestiges of the earliest sedentary villages in North America, dating to 4500–3000 BP. However, little is known about when Indigenous communities began constructing these shell-ring villages. This article presents data from the Hokfv-Mocvse Shell Ring on Ossabaw Island, Georgia. Although shell rings are often associated with the earliest ceramics in North America, no ceramics were encountered in our excavations at Hokfv-Mocvse, and the only materials recovered were projectile points similar to points found over 300 km inland. Bayesian modeling of radiocarbon dates indicates that the ring was occupied between 5090 and 4735 cal BP (95% confidence), making it the earliest dated shell ring in the region. Additionally, shell geochemistry and oyster paleobiology data suggest that inhabitants were living at the ring year-round and had established institutions at that time to manage oyster fisheries sustainably. Hokfv-Mocvse therefore provides evidence for Indigenous people settling in year-round villages and adapting to coastal environments in the region centuries before the adoption of pottery. The establishment of villages marks a visible archaeological shift toward settling down and occupying island ecosystems on a more permanent basis and in larger numbers than ever before in the region.
Parasites and plantations: Disease, environment and society in efforts to induce extinction of hookworm in Jamaica, 1919–1936
Authors: Roberts Jonathan D. , Waddington Lorna L. , Quinnell Rupert J. , Huggan Graham , Dunn Alison M. 
Published: August 2024

Abstract
Studies of extinction typically focus on unintended losses of biodiversity and culture. This study, however, examines an attempt to induce extinction of a parasite: human hookworm (Necator americanus and Ancylostoma duodenale). Our interdisciplinary approach integrates medical history and epidemiology using records created by the Jamaica Hookworm Commission of 1919–1936. We show that the attempt to induce the extinction of hookworms was driven by its perceived effects on labour productivity and consequent status as an ideological and economic threat. We use spatial epidemiology to describe the relationships between parasites, environments and the working conditions of plantation labourers. Using data from 330 locations across Jamaica in which 169,380 individuals were tested for hookworm infection we show that the prevalence of hookworm infection was higher in districts surrounding plantations. Prevalence decreased with the temperature of the coldest month, increased with the amount of rainfall in the driest month, and increased with vegetation quantity (normalised difference vegetation index). Worm burden (and thus pathology) varied greatly between individuals, even those living together; hookworm infection varied between environments, socioeconomic conditions and individuals. Nevertheless, the conditions of labour shaped the distribution of hookworms. Plantations both spread and problematised hookworms, driving efforts to bring it to extinction.