bluuebunny/crossref_metadata_2025 huggingface dataset:
Reducing Inert Materials for Optimal Cell–Cell and Cell–Matrix Interactions within Microphysiological Systems
Authors: Olaizola-Rodrigo Claudia , Castro-Abril Héctor , Perisé-Badía Ismael , Pancorbo Lara , Ochoa Ignacio , Monge Rosa , Oliván Sara
Published: April 2024

In the pursuit of achieving a more realistic in vitro simulation of human biological tissues, microfluidics has emerged as a promising technology. Organ-on-a-chip (OoC) devices, a product of this technology, contain miniature tissues within microfluidic chips, aiming to closely mimic the in vivo environment. However, a notable drawback is the presence of inert material between compartments, hindering complete contact between biological tissues. Current membranes, often made of PDMS or plastic materials, prevent full interaction between cell types and nutrients. Furthermore, their non-physiological mechanical properties and composition may induce unexpected cell responses. Therefore, it is essential to minimize the contact area between cells and the inert materials while simultaneously maximizing the direct contact between cells and matrices in different compartments. The main objective of this work is to minimize inert materials within the microfluidic chip while preserving proper cellular distribution. Two microfluidic devices were designed, each with a specific focus on maximizing direct cell–matrix or cell–cell interactions. The first chip, designed to increase direct cell–cell interactions, incorporates a nylon mesh with regular pores of 150 microns. The second chip minimizes interference from inert materials, thereby aiming to increase direct cell–matrix contact. It features an inert membrane with optimized macropores of 1 mm of diameter for collagen hydrogel deposition. Biological validation of both devices has been conducted through the implementation of cell migration and cell-to-cell interaction assays, as well as the development of epithelia, from isolated cells or spheroids. This endeavor contributes to the advancement of microfluidic technology, aimed at enhancing the precision and biological relevance of in vitro simulations in pursuit of more biomimetic models.
Exploring the Barriers and Facilitators in the Management of Childhood Trauma and Violence Exposure Intervention in the Vhembe District of the Limpopo Province, South Africa
Authors: Tsheole Petunia , Makhado Lufuno , Maphula Angelina , Sepeng Nombulelo Veronica
Published: April 2024

Research has shown that barriers and facilitators in psychotherapy exhibit similarities. The authors of this study are of the view that to effectively address the difficulties encountered in psychotherapy for children and adolescents, it is crucial to consider the points of view of professionals who have firsthand encounters with children. The purpose of this study was to effectively explore barriers and facilitators in the treatment of children exposed to trauma and violence. Exploratory and descriptive methods, as components of a qualitative research design, were employed to investigate and articulate the barriers and facilitators involved in managing childhood trauma. An advertisement was used to recruit participants. It was developed and distributed to psychologists and social workers recommended by the Thohoyandou Victim Empowerment Programme. Seventeen professionals were individually interviewed using semi-structured interview schedules. The interviews were recorded, transcribed verbatim, and analysed using interpretative phenomenological analysis (IPA). The findings of the study indicated a lack of commitment from parents in honouring appointments, financial challenges, a fear of perpetrators associated with the poor reporting of incidences, professional boundaries, and referral route challenges. Familiar facilitators in the management of childhood trauma included continuous training and workshops for all people working with childhood trauma and violence, the employment of more victim advocates, and awareness campaigns. Additionally, the referral pathway for traumatised children presents logistical, psychological, and educational hurdles, underscoring the complex nature of meeting the needs of these vulnerable populations within the healthcare system. In conclusion, even while the currently available research supports the barriers and facilitators for this population, more investigation is required to examine how these factors affect treatment outcomes, particularly in community-based settings.
Ocular Tics and Pediatric Autoimmune Neuropsychiatric Disorders Associated with Streptococcal Infections (PANDAS)
Authors: Dore Stefano , Satta Daniele , Zinellu Angelo , Boscia Giacomo , Carta Arturo , Fruschelli Mario , Serra Rita , Pinna Antonio
Published: April 2024

Little is known about ocular tics in Pediatric Autoimmune Neuropsychiatric Disorders associated with Streptococcal infections (PANDAS). In this retrospective study, we examined the clinical records of children with motor tics referred to the Ophthalmology Unit, Azienda Ospedaliero-Universitaria di Sassari, Italy, in 2010–2019. The presence of ocular tics was investigated. Data about antistreptolysin O (ASO) and anti-DNase B antibody titers, erythrocyte sedimentation rate (ESR), plasma C-reactive protein (CRP), and antibiotic use were recorded. Forty children (thirty-four boys and six girls; mean age: 7.65 ± 2.5 years) with motor tics were identified; thirty-three (82.5%) showed ocular tics. Children with ocular tics had significantly higher titers of anti-DNase B antibodies (p = 0.04) and CRP (p = 0.016) than those with extraocular tics. A diagnosis of PANDAS was made in 24 (60%) children. PANDAS children with oculomotor tics had significantly higher titers of anti-DNase B antibodies (p = 0.05) than those with extraocular tics. Oral antibiotics were given to 25/33 (76%) children with ocular tics and 21/24 (87.5%) with PANDAS. All treated patients showed marked improvement/complete resolution of symptoms. Results suggest that higher titers of anti-DNase B antibodies may be implicated in the pathogenesis of ocular tics in PANDAS. Oral antibiotics may be beneficial in improving ocular tics. Further research is necessary to confirm our findings.
An Entropic Analysis of Social Demonstrations
Authors: Rico Daniel , Gandica Yérali
Published: April 2024

Social media has dramatically influenced how individuals and groups express their demands, concerns, and aspirations during social demonstrations. The study of X or Twitter hashtags during those events has revealed the presence of some temporal points characterised by high correlation among their participants. It has also been reported that the connectivity presents a modular-to-nested transition at the point of maximum correlation. The present study aims to determine whether it is possible to characterise this transition using entropic-based tools. Our results show that entropic analysis can effectively find the transition point to the nested structure, allowing researchers to know that the transition occurs without the need for a network representation. The entropic analysis also shows that the modular-to-nested transition is characterised not by the diversity in the number of hashtags users post but by how many hashtags they share.
A Comparative Analysis of Discrete Entropy Estimators for Large-Alphabet Problems
Authors: Pinchas Assaf , Ben-Gal Irad , Painsky Amichai
Published: April 2024

This paper presents a comparative study of entropy estimation in a large-alphabet regime. A variety of entropy estimators have been proposed over the years, where each estimator is designed for a different setup with its own strengths and caveats. As a consequence, no estimator is known to be universally better than the others. This work addresses this gap by comparing twenty-one entropy estimators in the studied regime, starting with the simplest plug-in estimator and leading up to the most recent neural network-based and polynomial approximate estimators. Our findings show that the estimators’ performance highly depends on the underlying distribution. Specifically, we distinguish between three types of distributions, ranging from uniform to degenerate distributions. For each class of distribution, we recommend the most suitable estimator. Further, we propose a sample-dependent approach, which again considers three classes of distribution, and report the top-performing estimators in each class. This approach provides a data-dependent framework for choosing the desired estimator in practical setups.
Towards Cognition-Aligned Visual Language Models via Zero-Shot Instance Retrieval
Authors: Ma Teng , Organisciak Daniel , Ma Wenbao , Long Yang
Published: April 2024

The pursuit of Artificial Intelligence (AI) that emulates human cognitive processes is a cornerstone of ethical AI development, ensuring that emerging technologies can seamlessly integrate into societal frameworks requiring nuanced understanding and decision-making. Zero-Shot Instance Retrieval (ZSIR) stands at the forefront of this endeavour, potentially providing a robust platform for AI systems, particularly large visual language models, to demonstrate and refine cognition-aligned learning without the need for direct experience. In this paper, we critically evaluate current cognition alignment methodologies within traditional zero-shot learning paradigms using visual attributes and word embedding generated by large AI models. We propose a unified similarity function that quantifies the cognitive alignment level, bridging the gap between AI processes and human-like understanding. Through extensive experimentation, our findings illustrate that this similarity function can effectively mirror the visual–semantic gap, steering the model towards enhanced performance in Zero-Shot Instance Retrieval. Our models achieve state-of-the-art performance on both the SUN (92.8% and 82.2%) and CUB datasets (59.92% and 48.82%) for bi-directional image-attribute retrieval accuracy. This work not only benchmarks the cognition alignment of AI but also sets a new precedent for the development of visual language models attuned to the complexities of human cognition.
Electromagnetic Performance Analysis of Dual-Three-Phase Dual-Rotor Flux-Switching Permanent Magnet Machines
Authors: Chen Yizhi , Zhao Guishu , Li Zhengliang , Chang Zhe , Ding Shuye , Zhou Yuheng
Published: April 2024

In this paper, a novel dual-three-phase dual-rotor flux-switching permanent magnet (PM) (DRFSPM) machine, building upon conventional FSPM machines, is proposed, where the stator is equipped with dual PMs and dual armature windings, enabling it to operate in various working modes and provide fault tolerance in the event of PM or armature winding faults. Depending on the magnetization directions of the PMs, the proposed DRFSPM machine’s structure can be categorized as 6N-DRFSPM or NS-DRFSPM. In order to assess the electromagnetic performance of the proposed DRFSPM machines with two different magnetizing modes, the topology and operating principle of the two DRFSPM machines are introduced first. Then, the no-load air-gap flux density of the two proposed machines is investigated for a more optimized and purposeful design. Finally, a comparison of the electromagnetic performance between the two proposed DRFSPM machines is conducted by finite-element analysis (FEA), and the FEA-predicted results indicate that the proposed 6N-DRFSPM machine outperforms the NS-DRFSPM machine, as it exhibits a larger back-EMF and average torque and a smaller cogging torque and torque ripple.
A New Approach to the Economic Evaluation of Thermomodernization: Annual Assessment Based on the Example of Production Space
Authors: Voznyak Orest , Dudkiewicz Edyta , Laska Marta , Antypov Ievgen , Spodyniuk Nadiia , Sukholova Iryna , Savchenko Olena
Published: April 2024

Energy and economic assessments are of great relevance in the context of decision processes for the most optimal solutions for building renovations. Following the method recommended by UNIDO, economic analyses of thermal modernization options are carried out based on the Simple Payback Time (SPBT), Net Present Value Ratio (NPVR) and Internal Rate of Return (IRR) indices. Incorporating these indicators and a new approach that involves aggregating thermomodernization activities not only in the cold and warm seasons separately, but throughout the whole year, an economic evaluation of the thermomodernization of a production space was carried out. In this case study, the renovation options included wall insulation, window replacement, the installation of infrared heater, a two-flow air diffuser (TFAD) and variable air volume. The economic effect indicated by the highest NPVR over a normative period of 15 years was obtained for the installation of an infrared heater and a TFAD with a variable mode ventilation system. The SPBT for this case was also the lowest.
Influence of Organic Matter Thermal Maturity on Rare Earth Element Distribution: A Study of Middle Devonian Black Shales from the Appalachian Basin, USA
Authors: Bhattacharya Shailee , Sharma Shikha , Agrawal Vikas , Dix Michael C. , Zanoni Giovanni , Birdwell Justin E. , Wylie Albert S. , Wagner Tom
Published: April 2024

This study focuses on understanding the association of rare earth elements (REE; lanthanides + yttrium + scandium) with organic matter from the Middle Devonian black shales of the Appalachian Basin. Developing a better understanding of the role of organic matter (OM) and thermal maturity in REE partitioning may help improve current geochemical models of REE enrichment in a wide range of black shales. We studied relationships between whole rock REE content and total organic carbon (TOC) and compared the correlations with a suite of global oil shales that contain TOC as high as 60 wt.%. The sequential leaching of the Appalachian shale samples was conducted to evaluate the REE content associated with carbonates, Fe–Mn oxyhydroxides, sulfides, and organics. Finally, the residue from the leaching experiment was analyzed to assess the mineralogical changes and REE extraction efficiency. Our results show that heavier REE (HREE) have a positive correlation with TOC in our Appalachian core samples. However, data from the global oil shales display an opposite trend. We propose that although TOC controls REE enrichment, thermal maturation likely plays a critical role in HREE partitioning into refractory organic phases, such as pyrobitumen. The REE inventory from a core in the Appalachian Basin shows that (1) the total REE ranges between 180 and 270 ppm and the OM-rich samples tend to contain more REE than the calcareous shales; (2) there is a relatively higher abundance of middle REE (MREE) to HREE than lighter REE (LREE); (3) there is a disproportionate increase in Y and Tb with TOC likely due to the rocks being over-mature; and (4) the REE extraction demonstrates that although the OM has higher HREE concentration, the organic leachates contain more LREE, suggesting it is more challenging to extract HREE from OM than using traditional leaching techniques.
Energy Management Strategy for a Net Zero Emission Islanded Photovoltaic Microgrid-Based Green Hydrogen System
Authors: Naseri Nisrine , El Hani Soumia , Machmoum Mohamed , Elbouchikhi Elhoussin , Daghouri Amina
Published: April 2024

Investing in green hydrogen systems has become a global objective to achieve the net-zero emission goal. Therefore, it is seen as the primary force behind efforts to restructure the world’s energy, lessen our reliance on gas, attain carbon neutrality, and combat climate change. This paper proposes a power management for a net zero emission PV microgrid-based decentralized green hydrogen system. The hybrid microgrid combines a fuel cell, battery, PV, electrolyzer, and compressed hydrogen storage (CHSU) unit aimed at power sharing between the total components of the islanded DC microgrid and minimizing the equivalent hydrogen consumption (EHC) by the fuel cell and the battery. In order to minimize the EHC and maintain the battery SOC, an optimization-based approach known as the Equivalent Consumption Minimization Strategy (ECMS) is used. A rule-based management is used to manage the power consumed by the electrolyzer and the CHSU by the PV system in case of excess power. The battery is controlled by an inverse droop control to regulate the dc bus voltage and the output power of the PV system is maximized by the fuzzy logic controller-based MPPT. As the hybrid microgrid works in the islanded mode, a two-level hierarchical control is applied in order to generate the voltage and the frequency references. The suggested energy management approach establishes the operating point for each system component in order to enhance the system’s efficiency. It allows the hybrid system to use less hydrogen while managing energy more efficiently.
Online Estimation of Three-Phase Induction Motor Parameters Using an Extended Kalman Filter for Energy Saving
Authors: Udomsuk Sasiya , Areerak Kongpol , Areerak Tidarut , Areerak Kongpan
Published: April 2024

In this paper, the online estimation of three-phase induction motor parameters using an extended Kalman filter for energy saving is proposed. The optimal value of the stator current on the d-axis is calculated to obtain the minimum power loss. Accurate motor parameters are required to calculate the optimal stator current value for energy saving. Hence, to estimate motor parameters in real time, an online estimator known as the extended Kalman filter is applied. The energy consumption results for the motor using the proposed approach (estimated parameters with extended Kalman filter) are compared with those obtained using the conventional approach and energy saving (fixed parameters without parameter estimation) approach. As revealed by the comparison results from implementation in a laboratory, the proposed approach can provide minimum power losses for the three-phase induction motor drive, and the maximum energy-saving percentage is 60.18% compared with using the conventional drive approach.
Optimal Scheduling of Electricity and Carbon in Multi-Park Integrated Energy Systems
Authors: Li Kun , Ying Yulong , Yu Xiangyu , Li Jingchao
Published: April 2024

In order to maximize the utilization efficiency of renewable energy resources and reduce carbon costs in multi-park integrated energy systems (MIESs), this paper proposes an electricity–carbon energy scheduling method for MIESs, where a electricity–carbon joint trading market is established to allow energy interactions between IESs so as to satisfy their energy deficiencies and surpluses. Simultaneously, through leveraging differences in carbon prices among regions, carbon quotas are shared between all IESs, thereby reducing the overall carbon trading costs within the region. The paper also suggests that to encourage carbon cooperation between IESs, incentive measures such as government subsidies could be provided to foster collaboration. The simulation results demonstrate that the proposed electricity–carbon energy scheduling method for MIESs can effectively improve the utilization flexibility of various energy resources and obtain the higher economic benefits, compared with the traditional method where each IES operates independently.
Diminishing Performance of Pt/CNT in Ethanol Oxidation after High-Potential Scanning
Authors: Hu Fengping , Xu Jinchang , Wei Lin , Wang Zhenyou , Jiang Fangming
Published: April 2024

Regenerative fuel cells and the phenomenon of cell reversal (CR) necessitate creating robust catalyst layers for consistent performance in fuel cells. This research used in situ Raman spectroscopy to observe molecular alterations on carbon nanotube-supported platinum catalysts (Pt/CNT) during ethanol oxidation. Following a CR event simulation, the ethanol oxidation efficiency on Pt/CNT was amplified 2.8 times after high-potential scanning but reverted to its initial efficiency after 100 cycles. The adsorbed *CO2− species on Pt/CNT was pivotal for initiating ethanol oxidation, with the rate assessed through Raman analysis. In addition to water electrolysis, the carbon substrate was degraded. This study sheds light on the mechanisms behind catalyst degradation, steering the creation of more advanced catalysts.
Monitoring Energy Flows for Efficient Electricity Control in Low-Voltage Smart Grids
Authors: Alymov Ivan , Averbukh Moshe
Published: April 2024

Modern low-voltage distribution lines, especially those linked with renewable energy sources, face technical hurdles like unaccounted and illegal electricity use, increased power losses, voltage control issues, and overheating. Tackling these challenges effectively requires continuously monitoring power flows and identifying problematic network spots. This study introduces a method involving ongoing energy flow monitoring from distribution transformers and other sources to end-users through auxiliary facilities. The algorithm seamlessly integrates with consumers’ existing smart power meters and supporting infrastructure, eliminating the need for extra equipment or data. Deployed in several distribution networks totaling about 40 GWh/year over two years, this diagnostic system showed promising results. It notably cut total power consumption by around 6% by detecting and mitigating illegal energy waste and addressing technical issues. Additionally, it reduced technical personnel involvement in operational tasks by approximately twentyfold, significantly enhancing network profitability overall.
Assessment and Forecasting of Energy Efficiency in Economic Sectors in Poland
Authors: Żurakowska-Sawa Joanna , Pyra Mariusz
Published: April 2024

The material developed focuses on the analysis of energy efficiency trends in Poland, utilising ODEX indicators for the sectors of industry, transport, households and in general, from 2011 to 2021. The objective of the study is to assess the progress made in energy efficiency and to forecast future trends in these sectors. The methods employed are based on statistical modelling of time series, taking into account sector-specific energy consumption dynamics. The following techniques were employed: linear regression, cluster analysis to identify patterns of change, statistical hypothesis testing for energy efficiency and simplified autoregressive models. The results demonstrated significant improvements in energy efficiency in the industrial sector, stability of the ODEX indicator in the transport sector and gradual improvements in households and overall. The prediction indicates an upward trend in the ODEX indicator in the short term, suggesting an increase in energy demand. However, it also predicts a decline in the long term, which may indicate the effectiveness of future energy efficiency strategies and investments. Consequently, the necessity for continued efforts to increase energy efficiency and further research into the factors influencing energy efficiency in different economic sectors is emphasised.
Experimental Evaluation of Methanol/Jet-A Blends as Sustainable Aviation Fuels for Turbo-Engines: Performance and Environmental Impact Analysis
Authors: Cican Grigore , Mirea Radu , Rimbu Gimi
Published: April 2024

This study offers a comprehensive examination, both theoretically and experimentally, of the potential of methanol (M) as a sustainable aviation fuel (SAF) assessed in combination with kerosene (Ke—Jet-A aviation fuel + 5% Aeroshell oil). Different blends of methanol and kerosene (10%, 20%, and 30% vol. of (M) was added to Ke) were tested in an aviation micro turbo-engine under various operating regimes, such as idle, cruise, and maximum. Key engine parameters, including combustion temperature, fuel consumption, and thrust, were closely monitored during these trials. Essential performance indicators such as combustion efficiency, thermal efficiency, and specific consumption for all fuel blends under maximum operating conditions are also presented. Physical and chemical characteristics, such as viscosity, density, calorific value and flash point, were determined for each blend. Moreover, elemental analysis and FTIR spectroscopy were utilized to evaluate the chemical composition of the fuels. This study further investigated the air requirements for stoichiometric combustion and computed the resulting CO2 and H2O emissions. Experimental tests were conducted on the Jet Cat P80® micro turbo-engine, covering assessments of starting procedures, acceleration, deceleration, and pollutant emissions (CO and SO2) during various engine operating conditions. The results suggest that the examined fuel blends demonstrate stable engine performance at concentrations of 10% and 20% methanol. However, observations indicate that with an increase in methanol concentration, particularly at 30%, the stability of the engine at idle and, notably, at maximum speed decreases significantly. Specifically, at a 30% methanol concentration, the engine no longer operates stably, exhibiting significant rpm fluctuations, leading to the decision not to explore higher concentrations.
GC-IMS-Based Volatile Characteristic Analysis of Hypsizygus marmoreus Dried by Different Methods
Authors: Lai Pufu , Li Longxiang , Wei Yingying , Sun Junzheng , Tang Baosha , Yang Yanrong , Chen Junchen , Wu Li
Published: April 2024

Gas chromatography–ion mobility spectroscopy (GC-IMS) was used to analyze the volatile components in dried Hypsizygus marmoreus of different drying methods, including hot air drying (HAD), heat pump drying (HPD), heated freeze-drying (HFD), and unheated freeze-drying (UFD). A total of 116 signal peaks corresponding to 96 volatile compounds were identified, including 25 esters, 24 aldehydes, 23 alcohols, 13 ketones, 10 heterocyclic compounds, 8 carboxylic acids, 7 terpenes, 3 sulfur-containing compounds, 2 nitrogen-containing compounds, and 1 aromatic hydrocarbon. The total content of volatile compounds in H. marmoreus dried by the four methods, from highest to lowest, was as follows: HAD, HPD, HFD, and UFD. The main volatile compounds included carboxylic acids, alcohols, esters, and aldehydes. Comparing the peak intensities of volatile compounds in dried H. marmoreus using different drying methods, it was found that the synthesis of esters, aldehydes, and terpenes increased under hot drying methods such as HAD and HPD, while the synthesis of compounds containing sulfur and nitrogen increased under freeze-drying methods such as HFD and UFD. Nine common key characteristic flavor compounds of dried H. marmoreus were screened using relative odor activity values (ROAV > 1), including ethyl 3-methylbutanoate, acetic acid, 2-methylbutanal, propanal, methyl 2-propenyl sulfate, trimethylamine, 3-octanone, acetaldehide, and thiophene. In the odor description of volatile compounds with ROAV > 0.1, it was found that important flavor components such as trimethylamine, 3-octanone, (E)-2-octenal, and dimethyl disulfide are related to the aroma of seafood. Their ROAV order is HFD > UFD > HPD > HAD, indicating that H. marmoreus using the HFD method have the strongest seafood flavor. The research findings provide theoretical guidance for selecting drying methods and refining the processing of H. marmoreus.
Development of Low-Molecular-Weight Gelator/Polymer Composite Materials Utilizing the Gelation and Swelling Process of Polymeric Materials
Authors: Ohsedo Yutaka , Takagi Chinatsu
Published: April 2024

The creation of polymer composite materials by compositing fillers into polymer materials is an effective method of improving the properties of polymer materials, and the development of new fillers and their novel composite methods is expected to lead to the creation of new polymer composite materials. In this study, we develop a new filler material made of low-molecular-weight gelators by applying a gelation process that simultaneously performs the swelling (gelation) of crosslinked polymer materials and the self-assembly of low-molecular-weight gelators into low-dimensional crystals in organic solvents within polymer materials. The gelation process of crosslinking rubber-based polymers using alkylhydrazides/toluene as the low-molecular-weight gelator allowed us to composite self-assembled sheet-like crystals of alkylhydrazides as fillers in polymeric materials, as suggested by various microscopic observations, including infrared absorption measurements, small-angle X-ray diffraction measurements and thermal analysis, microscopy, and infrared absorption measurements. Furthermore, tensile tests of the composite materials demonstrated that the presence of fillers improved both the Young’s modulus and the tensile strength, as well as the elongation at yield. Additionally, heat treatment was shown to facilitate filler dispersion and enhance the mechanical properties. The findings demonstrate the potential of self-assembled sheet-like crystals of low-molecular-weight gelators as novel filler materials for polymers. The study’s composite method utilizing gelators via gelation proved effective.
The Influence of Reinforced Fibers and Opacifiers on the Effective Thermal Conductivity of Silica Aerogels
Authors: Huang Binghuan , Li Jingbei , Gong Liang , Dai Pengcheng , Zhu Chuanyong
Published: April 2024

Fiber–particle-reinforced silica aerogels are widely applied in thermal insulation. Knowing their effective thermal conductivity (ETC) and radiative characteristics under high temperatures is necessary to improve their performance. This article first analyzes the radiation characteristics of silica aerogels doped with opacifier particles and reinforced fibers, and then a universal model is established to predict the ETC. Furthermore, the impacts of different parameters of opacifier particles and reinforced fibers on the thermal insulation performance of silica aerogels are investigated. The results indicate that SiC exhibits comparatively strong absorption characteristics, making it a good alternative for opacifiers to improve thermal insulation performance under high temperatures. For the given type and volume fraction of opacifier particles, there exists an optimal diameter and volume fraction to achieve the best insulation performance of silica aerogel under a certain temperature. Considering that SiO2 fibers exhibit a limited extinction capability and higher conductive thermal conductivity under high temperatures, for fiber–particle-reinforced silica aerogels, it is beneficial for their insulation performance to reduce the fiber volume fraction when the required mechanical properties are satisfied.
Beyond Colonial Politics of Identity: Being and Becoming Female Youth in Colonial Kenya
Authors: Ngutuku Elizabeth , Okwany Auma
Published: April 2024

This paper draws on biographical research among the Akamba and the Luo communities in Eastern and Western Kenya, respectively. Our research explored how practices of adolescence as a process, an institution, and a performance of identity interact with colonial modernities and imaginaries in complex ways. The biographical research was carried out predominantly with women born in the late colonial period in Kenya. We provide critical reflections on the process and affordances of our embodied storytelling approach, which we position as an Africanist methodology and a decolonial research practice. This research and approach provided women with a space to narrate and perform their lived experience, potentially disrupting epistemic inequities that are embedded in the way research on growing up in the past is carried out. The discussions show how colonialism interacted with other factors, including gender and generational power, tradition, girls’ agency, and other life characteristics like poverty and family situation, in order to influence the lived experiences of women. Going beyond the narratives of victimhood that characterise coming of age in similar spaces, we present women’s emergent, incomplete, and incongruent agency. We position this agency as the diverse ways in which people come to terms with their difficult contexts. The discussion also points to the need for unsettling the settled thinking about girlhood and coming of age in specific historical spaces in the global South.
Detection of Arrhythmias Using Smartwatches—A Systematic Literature Review
Authors: Bogár Bence , Pető Dániel , Sipos Dávid , Füredi Gábor , Keszthelyi Antónia , Betlehem József , Pandur Attila András
Published: April 2024

Smartwatches represent one of the most widely adopted technological innovations among wearable devices. Their evolution has equipped them with an increasing array of features, including the capability to record an electrocardiogram. This functionality allows users to detect potential arrhythmias, enabling prompt intervention or monitoring of existing arrhythmias, such as atrial fibrillation. In our research, we aimed to compile case reports, case series, and cohort studies from the Web of Science, PubMed, Scopus, and Embase databases published until 1 August 2023. The search employed keywords such as “Smart Watch”, “Apple Watch”, “Samsung Gear”, “Samsung Galaxy Watch”, “Google Pixel Watch”, “Fitbit”, “Huawei Watch”, “Withings”, “Garmin”, “Atrial Fibrillation”, “Supraventricular Tachycardia”, “Cardiac Arrhythmia”, “Ventricular Tachycardia”, “Atrioventricular Nodal Reentrant Tachycardia”, “Atrioventricular Reentrant Tachycardia”, “Heart Block”, “Atrial Flutter”, “Ectopic Atrial Tachycardia”, and “Bradyarrhythmia.” We obtained a total of 758 results, from which we selected 57 articles, including 33 case reports and case series, as well as 24 cohort studies. Most of the scientific works focused on atrial fibrillation, which is often detected using Apple Watches. Nevertheless, we also included articles investigating arrhythmias with the potential for circulatory collapse without immediate intervention. This systematic literature review provides a comprehensive overview of the current state of research on arrhythmia detection using smartwatches. Through further research, it may be possible to develop a care protocol that integrates arrhythmias recorded by smartwatches, allowing for timely access to appropriate medical care for patients. Additionally, continuous monitoring of existing arrhythmias using smartwatches could facilitate the assessment of the effectiveness of prescribed therapies.
Analysis of Combining Ability to Obtain Tropical Carrot Hybrids for Production Traits
Authors: Coelho Fernanda Gabriela Teixeira , Maciel Gabriel Mascarenhas , Siquieroli Ana Carolina Silva , de Oliveira Camila Soares , Parrella Nádia Nardely Lacerda Durães , da Silva Amilton Ferreira , Luz José Magno Queiroz , Nogueira Ana Paula Oliveira
Published: April 2024

Carrots (Daucus carota L.), a globally significant vegetable, lack extensive research on heterotic groups and diallel analysis to generate hybrid combinations. Thus, the objective of this study was to assess combining abilities and identify optimal carrot parents for producing hybrids suitable for tropical climates with elevated metabolite levels. Twenty carrot hybrids, ten parent plants, and three commercial cultivars were evaluated during the summers of 2020/2021 and 2021/2022. Agronomic evaluations were carried out and chlorophyll and carotenoid levels were determined, followed by a diallel analysis using Griffing’s Method III and GGE biplot analysis. There were significant general combining ability (GCA) effects for various agronomic traits, suggesting additive genetic effects. Based on GCA, cultivars 5, 4, and 2 were the most promising parents. Specific combining ability (SCA) revealed that hybrids 1 × 2 and 3 × 5 stood out in environment 1, whereas hybrids 1 × 5 and 5 × 3 performed well in environment 2. The GGE biplot analysis showed that hybrids 1 × 2 and 3 × 2 displayed larger average root diameters, belonged to the group with the best bolting percentages, and exhibited stability across environments. Moreover, hybrids 2 × 4, 3 × 1, 4 × 1, and 4 × 2 exhibited higher metabolite levels. These findings suggest the feasibility of obtaining superior hybrids tailored for the tropical carrot market.
Development of SSRs Based on the Whole Genome and Screening of Bolting-Resistant SSR Marker in Brassica oleracea L.
Authors: Zhao Tong , Miao Liming , Zou Minghua , Hussain Iqbal , Yu Hongrui , Li Jia , Sun Nairan , Kong Lijun , Wang Shenyun , Li Jianbin , Yu Xiaolin
Published: April 2024

Simple sequence repeats (SSRs), also known as microsatellites, stand out as the most crucial molecular markers in both animals and plants owing to their high polymorphism, extensive information content, ease of detection through polymerase chain reaction (PCR) assays, and widespread distribution across the genome. In this study, a total of 125,443 SSR loci were identified from the whole-genome sequence of B. oleracea, and 82,948 primer pairs for SSR have been designed. Furthermore, each primer pair is designated with a unique identifier (ranging from BolSSR00001 to BolSSR82984). Our findings indicated that certain markers within them could be transferred to other cruciferous crops. In addition, a total of 336 pairs of SSR primers have been used to screen the polymorphism between the bolting-resistant and bolting-easy gene pools. After the test of verification with F2 generation individual plants, we obtained an SSR dominant marker, BolSSR040196, linked with bolting-resistant locus in cabbage, and the genetic distance between this SSR marker and the bolting-resistant locus was 10.69 cM. Moreover, BolSSR040196 is located on the C05 chromosome with a CT motif, characterized by a repeat of 9 in bolting-easy plants and 11 in bolting-resistant plants. Haplotype analysis showed that the correct prediction rate reached 82.35%. The BolSSR040196 marker can be used in marker-assisted selection (MAS) breeding, offering a straightforward and efficient approach for bolting-resistant cabbage breeding in the future.
Delaware Reincorporation and the Double-Exit Puzzle: Evidence from Post-Initial Public Offering Acquisitions
Authors: Xu Yang , Jia Vincent , Qian Xinze , Wang Haizhi , Zhang Xiaotian
Published: April 2024

Initial public offerings and mergers and acquisitions represent important opportunities for investors to exit and harvest their entrepreneurial success. Some firms are acquired shortly after their initial public offerings. This exit strategy is known as a double exit. In addition, issuing firms may choose to reincorporate in Delaware during their IPOs. In this study, we use hand-collected data from 1993 to 2020 to investigate whether and to what extent Delaware reincorporation may affect the M&As in the post-IPO stage. We use a Cox proportional hazard model to test the relation between Delaware reincorporation and the likelihood of being acquired for our sample IPOs. Recognizing that Delaware reincorporation is not a random decision, we adopt a Heckman switching regression method to estimate the relation between Delaware reincorporation and takeover premiums and announcement returns. We report that IPO firms choosing to reincorporate in Delaware experience a higher likelihood of being acquired compared to those IPO firms choosing to remain incorporated in their home states. We further document that IPO firms choosing to reincorporate in Delaware receive lower premiums in acquisitions, and experience lower abnormal returns on announcements.
Anti-Photodamage Effect of Agaricus blazei Murill Polysaccharide on UVB-Damaged HaCaT Cells
Authors: Cheng Wenjing , Di Feiqian , Li Luyao , Pu Chunhong , Wang Changtao , Zhang Jiachan
Published: April 2024

UVB radiation is known to induce photodamage to the skin, disrupt the skin barrier, elicit cutaneous inflammation, and accelerate the aging process. Agaricus blazei Murill (ABM) is an edible medicinal and nutritional fungus. One of its constituents, Agaricus blazei Murill polysaccharide (ABP), has been reported to exhibit antioxidant, anti-inflammatory, anti-tumor, and immunomodulatory effects, which suggests potential effects that protect against photodamage. In this study, a UVB-induced photodamage HaCaT model was established to investigate the potential reparative effects of ABP and its two constituents (A1 and A2). Firstly, two purified polysaccharides, A1 and A2, were obtained by DEAE-52 cellulose column chromatography, and their physical properties and chemical structures were studied. A1 and A2 exhibited a network-like microstructure, with molecular weights of 1.5 × 104 Da and 6.5 × 104 Da, respectively. The effects of A1 and A2 on cell proliferation, the mitochondrial membrane potential, and inflammatory factors were also explored. The results show that A1 and A2 significantly promoted cell proliferation, enhanced the mitochondrial membrane potential, suppressed the expression of inflammatory factors interleukin-1β (IL-1β), interleukin-8 (IL-8), interleukin-6 (IL-6), and tumor necrosis factor α (TNF-α), and increased the relative content of filaggrin (FLG) and aquaporin-3 (AQP3). The down-regulated JAK-STAT signaling pathway was found to play a role in the response to photodamage. These findings underscore the potential of ABP to ameliorate UVB-induced skin damage.
Biominerals and Bioinspired Materials in Biosensing: Recent Advancements and Applications
Authors: Abdelhamid Mohamed A. A. , Ki Mi-Ran , Pack Seung Pil
Published: April 2024

Inspired by nature’s remarkable ability to form intricate minerals, researchers have unlocked transformative strategies for creating next-generation biosensors with exceptional sensitivity, selectivity, and biocompatibility. By mimicking how organisms orchestrate mineral growth, biomimetic and bioinspired materials are significantly impacting biosensor design. Engineered bioinspired materials offer distinct advantages over their natural counterparts, boasting superior tunability, precise controllability, and the ability to integrate specific functionalities for enhanced sensing capabilities. This remarkable versatility enables the construction of various biosensing platforms, including optical sensors, electrochemical sensors, magnetic biosensors, and nucleic acid detection platforms, for diverse applications. Additionally, bioinspired materials facilitate the development of smartphone-assisted biosensing platforms, offering user-friendly and portable diagnostic tools for point-of-care applications. This review comprehensively explores the utilization of naturally occurring and engineered biominerals and materials for diverse biosensing applications. We highlight the fabrication and design strategies that tailor their functionalities to address specific biosensing needs. This in-depth exploration underscores the transformative potential of biominerals and materials in revolutionizing biosensing, paving the way for advancements in healthcare, environmental monitoring, and other critical fields.
A Molecular Perspective and Role of NAD+ in Ovarian Aging
Authors: Ahmed Mehboob , Riaz Umair , Lv Haimiao , Yang Liguo
Published: April 2024

The decline in female fecundity is linked to advancing chronological age. The ovarian reserve diminishes in quantity and quality as women age, impacting reproductive efficiency and the aging process in the rest of the body. NAD+ is an essential coenzyme in cellular energy production, metabolism, cell signaling, and survival. It is involved in aging and is linked to various age-related conditions. Hallmarks associated with aging, diseases, and metabolic dysfunctions can significantly affect fertility by disturbing the delicate relationship between energy metabolism and female reproduction. Enzymes such as sirtuins, PARPs, and CD38 play essential roles in NAD+ biology, which actively consume NAD+ in their enzymatic activities. In recent years, NAD+ has gained much attention for its role in aging and age-related diseases like cancer, Alzheimer’s, cardiovascular diseases, and neurodegenerative disorders, highlighting its involvement in various pathophysiological processes. However, its impact on female reproduction is not well understood. This review aims to bridge this knowledge gap by comprehensively exploring the complex interplay between NAD+ biology and female reproductive aging and providing valuable information that could help develop plans to improve women’s reproductive health and prevent fertility issues.
Trophic Position of the White Worm (Enchytraeus albidus) in the Context of Digestive Enzyme Genes Revealed by Transcriptomics Analysis
Authors: Gajda Łukasz , Daszkowska-Golec Agata , Świątek Piotr
Published: April 2024

To assess the impact of Enchytraeidae (potworms) on the functioning of the decomposer system, knowledge of the feeding preferences of enchytraeid species is required. Different food preferences can be explained by variations in enzymatic activities among different enchytraeid species, as there are no significant differences in the morphology or anatomy of their alimentary tracts. However, it is crucial to distinguish between the contribution of microbial enzymes and the animal’s digestive capacity. Here, we computationally analyzed the endogenous digestive enzyme genes in Enchytraeus albidus. The analysis was based on RNA-Seq of COI-monohaplotype culture (PL-A strain) specimens, utilizing transcriptome profiling to determine the trophic position of the species. We also corroborated the results obtained using transcriptomics data from genetically heterogeneous freeze-tolerant strains. Our results revealed that E. albidus expresses a wide range of glycosidases, including GH9 cellulases and a specific digestive SH3b-domain-containing i-type lysozyme, previously described in the earthworm Eisenia andrei. Therefore, E. albidus combines traits of both primary decomposers (primary saprophytophages) and secondary decomposers (sapro-microphytophages/microbivores) and can be defined as an intermediate decomposer. Based on assemblies of publicly available RNA-Seq reads, we found close homologs for these cellulases and i-type lysozymes in various clitellate taxa, including Crassiclitellata and Enchytraeidae.
Distinct Driver Pathway Enrichments and a High Prevalence of TSC2 Mutations in Right Colon Cancer in Chile: A Preliminary Comparative Analysis
Authors: Tapia-Valladares Camilo , Valenzuela Guillermo , González Evelin , Maureira Ignacio , Toro Jessica , Freire Matías , Sepúlveda-Hermosilla Gonzalo , Ampuero Diego , Blanco Alejandro , Gallegos Iván , Morales Fernanda , Erices José I. , Barajas Olga , Ahumada Mónica , Contreras Héctor R. , González Jaime , Armisén Ricardo , Marcelain Katherine
Published: April 2024

Colorectal cancer (CRC) is the second leading cause of cancer deaths globally. While ethnic differences in driver gene mutations have been documented, the South American population remains understudied at the genomic level, despite facing a rising burden of CRC. We analyzed tumors of 40 Chilean CRC patients (Chp) using next-generation sequencing and compared them to data from mainly Caucasian cohorts (TCGA and MSK-IMPACT). We identified 388 mutations in 96 out of 135 genes, with TP53 (45%), KRAS (30%), PIK3CA (22.5%), ATM (20%), and POLE (20%) being the most frequently mutated. TSC2 mutations were associated with right colon cancer (44.44% in RCRC vs. 6.45% in LCRC, p-value = 0.016), and overall frequency was higher compared to TCGA (p-value = 1.847 × 10−5) and MSK-IMPACT cohorts (p-value = 3.062 × 10−2). Limited sample size restricts definitive conclusions, but our data suggest potential differences in driver mutations for Chilean patients, being that the RTK-RAS oncogenic pathway is less affected and the PI3K pathway is more altered in Chp compared to TCGA (45% vs. 25.56%, respectively). The prevalence of actionable pathways and driver mutations can guide therapeutic choices, but can also impact treatment effectiveness. Thus, these findings warrant further investigation in larger Chilean cohorts to confirm these initial observations. Understanding population-specific driver mutations can guide the development of precision medicine programs for CRC patients.