bluuebunny/crossref_metadata_2025_split huggingface dataset:
Breaking the Echo Chamber Effect in Social Media 🤔: An Impossibility Result
Authors: Avin Chen , Daltrophe Hadassa , Lotker Zvi 
Published: September 2023

Abstract
As scientists, we are proud of our role in developing the current digital age that enables billions of people to communicate rapidly with others via social media. However, when things go wrong, we are also responsible for taking an ethical stand and trying to solve problems, and this work aims to take a step in this direction. Our goal is to set the foundation for a mathematically formal study of how we might regulate social media and, in particular, address the problem of the echo chamber effect.An echo chamber is a closed system where other voices are excluded by omission, causing your beliefs to become amplified or reinforced. In turn, these bubbles can boost social polarization and extreme political views, and, unfortunately, there is strong evidence that echo chambers exist in social media. The fundamental question we try to answer is: how and can a regulation “break” or reduce the echo chamber effect in social media?Sadly, the paper’s main result is an impossibility result: a general regulation function that achieves this goal while obeying the core values of democratic societies (freedom of expression and user privacy) does not exist, which leaves us with hard future choices to make.
QSOX2 Deficiency-induced short stature, gastrointestinal dysmotility and immune dysfunction
Authors: Storr Helen , Maharaj Avinaash , Andrews Afiya , Rybak Anna , Elfeky Reem , Ishida Miho , Joensuu Anni , Kantojärvi Katri , Jia Raina , Perry John , O'Toole Edel , Hwa Vivian 
Published: September 2023

Abstract

Postnatal growth failure is often attributed to dysregulated somatotropin action, however marked genetic and phenotypic heterogeneity exist. We report four patients from two families who present with short stature, immune dysfunction, atopic eczema and gut-associated pathology associated with recessive variants in QSOX2. QSOX2 encodes a nuclear membrane protein linked to disulphide isomerase and oxidoreductase activity. Loss of QSOX2 disrupts GH-mediated STAT5B nuclear translocation despite enhanced GH-induced STAT5B phosphorylation. Moreover, patient-derived dermal fibroblasts demonstrate novel GH-induced mitochondriopathy and reduced mitochondrial membrane potential. We describe a definitive role of QSOX2 in modulating human growth likely due to impairment of STAT5B downstream activity and mitochondrial dynamics leading to growth failure, immune dysregulation and gut dysfunction. Located at the nuclear membrane, QSOX2 acts as a gatekeeper for regulating stabilisation and import of p-STAT5B. Furthermore, our work suggests that therapeutic recombinant IGF-1 may circumvent the GH-mediated STAT5B molecular defect and potentially alleviate organ specific disease.
AI-driven remote sensing enhances Mediterranean seagrass monitoring and conservation to combat climate change and anthropogenic impacts
Authors: Chowdhury Masuma , Martínez-Sansigre Alejo , Mole Maruška , Peleato Eduardo Alonso , Basos Nadiia , Blanco Jose Manuel , Ramirez Maria , Caballero Isabel , Calle Ignacio de la 
Published: September 2023

Abstract
Seagrasses are undergoing widespread loss due to anthropogenic pressure and climate change. Since 1960, the Mediterranean seascape lost 13–50% of the areal extent of its dominant and endemic seagrass- Posidonia oceanica, which regulates its ecosystem. Many conservation and restoration projects failed due to poor site selection and lack of long-term monitoring. Here, we present a fast and efficient operational approach based on a deep-learning artificial intelligence model using Sentinel-2 data to map the spatial extent of the meadows, enabling short and long-term monitoring, and identifying the impacts of natural and human-induced stressors and changes at different timescales. We apply ACOLITE atmospheric correction to the satellite data and use the output to train the model along with the ancillary data and map the extent of the meadows. We apply noise-removing filters to enhance the map quality. We obtain 74–92% of overall accuracy, 72–91% of user’s accuracy, and 81–92% of producer’s accuracy, where high accuracies are observed at 0-25m depth. Our model is easily adaptable to other regions and can produce maps in in-situ data-scarce regions, providing a first-hand overview. Our approach can help restoration practitioners, conservationists and ecosystem managers to make rational decisions to protect this species and promote sustainability.
All-natural 2D nanofluidics as high-efficient osmotic energy generator
Authors: Zhang Qianqian , Tang Jiadong , Wang Yun , Yang Hongyang , Wang Ce , Li Leyuan , Zheng Zilong , Jin Yuhong , Wang Hao , Gu Yifan , Zuo Tieyong 
Published: September 2023

Abstract

Two-dimension nanofluidics constructed based on naturally abundant clay are good candidates for harvesting blue osmotic energy between the sea and river from the perspective of commercialization and environmental sustainability. However, clay-based nanofluidic membranes outputting long-term considerable osmotic power remain extremely challenging to achieve due to the lacks of surface charge and mechanical strength. Here, a two-dimension all-natural nanofluidic (2D-NNF) is developed as robust and high-efficient osmotic energy generator based on an interlocking configuration of the stacked montmorillonite nanosheets (from natural clay) and their intercalated cellulose nanofibers (from natural wood). The formed nano-confined interlamellar channels with abundant surface and space negative charges facilitate the selective and fast hopping transport of cations in the 2D-NNF. This contributes to a remarkable osmotic power output of ~ 8.61 W m−2 by mixing artificial seawater and river water, much higher than all reported state-of-the-art 2D nanofluidics. When the 2D nanofluidic membrane is scaled up to 700 cm2, it could also delivery a uniform high-power output of over 8.0 W m−2 at any test sites as well as a long-term stability for 30 days. Such excellent structure uniformity and stability of the large-area membrane are the basic to achieve real-world applications in natural osmotic energy harvesting. Moreover, the 2D-NNF demonstrates superior economic, environment and energy benefits according to a detailed life cycle assessment (LCA), promising a good sustainability for large-scale and highly-efficient osmotic power generation.
Electrical on-chip detection of propagating surface plasmon with near-field coupling
Authors: Guan Zhiqiang , Li Xiangqian , Liu Weikang , Wang Huijie , Chen Li , Xu Hongxing 
Published: September 2023

Abstract
Plasmonic devices show great potential for integration with the microelectronic chips due to small size and fast speed, in order to create high-performance hybrid optoelectronic circuits. However, the on-chip plasmon detector remains to be explored, for the conventional far field photodetectors are not compatible with plasmon devices because of the complex collecting light path and vertical structure. Here we propose an electrical on-chip plasmon detector by placing an externally biased silicon stripe in the near-field range of plasmon waveguide. Through improving the near-field coupling efficiency and optimizing the plasmon waveguide on SOI, we succeed to achieve a subwavelength plasmon detector where an responsivity of photocurrent is "0.14 mA/W". These results demonstrate the potential of our device as an interface between plasmonic circuits and electronic chips, particularly in applications where the plasmon signals need to be converted into electrical signals for detection or communication.
Lipid metabolism gene ECI2 affects neutrophil extracellular traps by inhibiting ether lipid production to suppress colorectal cancer invasion and metastasis
Authors: LI XUENONG , CHEN LIXIA , DAI PEILING , LIU LEI , CHEN YUJIA , LU YANXIA , Zheng Lin , WANG HAOWEI , YUAN QINZI 
Published: September 2023

Abstract

Abnormalities in ether lipid metabolism as well as neutrophil extracellular trap formation are recently identified as adverse factors affecting tumorigenesis and progression. However, the role of abnormal ether lipid metabolism in colorectal cancer (CRC) evolution has not been reported. Here, we show that the lipid metabolism-related gene, enoyl-CoA delta isomerase 2 (ECI2), plays a tumor-suppressive role in CRC and is negatively associated with poor prognosis in CRC patients. Mechanistically, we demonstrate that ECI2 inhibits ether lipogenesis by restraining the peroxisomal localization of AGPS, the rate-limiting enzyme in ether lipid synthesis. This subsequently suppresses IL-8-mediated neutrophil recruitment and extracellular trap formation, ultimately leading to inhibition of CRC proliferation and metastasis. These findings not only enhance our comprehension of the role of metabolic reprogramming and neutrophil interactions in CRC development, but also offer novel insights for identifying potential diagnostic markers and therapeutic targets for CRC.
Ultraviolet Light Blocking Optically Clear Adhesives for Foldable Displays via Highly Efficient Visible-Light Curing
Authors: Kwon Min Sang , Kim Youngdo , Lee Jaesang 
Published: September 2023

Abstract
The design of a new foldable smartphone's organic light-emitting diode (OLED) panel, developed to reduce power consumption, necessitates the utilization of an advanced optically clear adhesive (OCA) capable of blocking UV light, in addition to its conventional functions of adhesion and strain relief. However, a challenge arises due to the presence of a UV blocking agent within the OCA. This presents a technical limitation, preventing the application of UV curing technology widely utilized in the OCA manufacturing process. Recently, a method for producing UV-blocking OCA through visible-light curing has been proposed, utilizing a new photo-initiating system (PIS). Nevertheless, the curing speed remains significantly slow, which hinders its commercialization. In this study, we have developed a highly efficient photo-initiating system (PIS) that enables the rapid production of UV-blocking OCAs suitable for commercialization under visible-light irradiation. Through a mechanistic analysis of existing PIS, we suggested that the photocatalysts (PCs) in the excited state dissipates upon the occurrence of the triplet-triplet energy transfer (EnT) or energy transfer (ET) with UV blocking agents, thereby impeding the curing rate. To address this, we employed a newly designed PC to reduce both EnT and ET rates when combined with UV absorbers, in comparison to a previously reported PC. Combining the PC with carefully chosen co-initiators, we created a new PIS that generates radicals rapidly through electron transfer. Under 452 nm visible light, we achieved UV-blocking OCAs at a rate approximately 10 times faster than before, while maintaining excellent UV-blocking ability, optical transparency, and viscoelastic properties. In UV-blocking tests, covered OLED device covered with the UV-blocking OCA demonstrated superior UV-blocking performance, indicating broad applications in protecting diverse smart devices with various form factors from UV irradiation.
Cross-species epigenetic regulation of nucleus accumbens KCNN3 transcripts by excessive ethanol drinking.
Authors: Juanes Rita Cervera , Mulholland Patrick , Padula Audrey , Wilhelm Larry , Park Byung , Grant Kathleen , Ferguson Betsy 
Published: September 2023

Abstract
The underlying genetic and epigenetic mechanisms driving functional adaptations in neuronal excitability and excessive alcohol intake are poorly understood. Small-conductance Ca2+-activated K+ (KCa2 or SK) channels encoded by the KCNN family of genes have emerged from preclinical studies as a key contributor to alcohol-induced functional neuroadaptations in alcohol-drinking monkeys and alcohol dependent mice. Here, this cross-species analysis focused on KCNN3 DNA methylation, gene expression, and single nucleotide polymorphisms including alternative promoters in KCNN3 that could influence surface trafficking and function of KCa2 channels. Bisulfite sequencing analysis of the nucleus accumbens tissue from alcohol-drinking monkeys and alcohol dependent mice revealed a differentially methylated region in exon 1A of KCNN3 that overlaps with a predicted promoter sequence. The hypermethylation of KCNN3 in the accumbens paralleled an increase in expression of alternative transcripts that encode apamin-insensitive and dominant-negative KCa2 channel isoforms. A polymorphic repeat in macaque KCNN3 encoded by exon 1 did not correlate with alcohol drinking. At the protein level, KCa2.3 channel expression in the accumbens was significantly reduced in very heavy drinking monkeys. Together, our cross-species findings on epigenetic dysregulation of KCNN3 represent a complex mechanism that utilizes alternative promoters to impact firing of accumbens neurons. Thus, these results provide support for hypermethylation of KCNN3 as a possible key molecular mechanism underlying harmful alcohol intake and alcohol use disorder.
Simultaneous Treatment of Oil and Dye-Contaminated Water by A Novel Composite
Authors: Joshi Deepika P. , Negi Vivek , Bora Neetu 
Published: September 2023

Abstract

Expanded Graphite (EG) has been widely used for treating oil-polluted water. Removal of dye pigments from oily wastewater is the biggest challenge for paint industries. So, the present work focuses on treating simultaneously oil and dye-contaminated water by introducing TiO2/ EG composite. EG samples with the highest exfoliation volume have been prepared by microwave irradiation by optimizing time and tested through an oil adsorption study with different oils. TiO2 NPs have been synthesized by the sol-gel method. A novel EG/TiO2 composite has been synthesized by mixing TiO2 NPs in GIC (precursor) and exfoliating the mixture for the optimized irradiation time. A comparative study of the effect of EG, TiO2 NPs, and EG/TiO2 composite on oil and dye-polluted water has been performed in direct sunlight. Results of UV-visible spectroscopy showed that the addition of TiO2 NPs with EG accomplished the dye degradation along with the adsorption of oil from polluted water.
A novel iterative detection method based on a lattice reduction-aided algorithm for MIMO OFDM systems
Authors: Liu Haitao , Cheng Xuchao , Li Wenqing , Feng Fan , Wang Liguo , Xiao Ying , Fu Shiqi 
Published: September 2023

Abstract
The lattice reduction-aided algorithm has received broad attention from researchers since it operates as a maximum likelihood receiver with better system performance for multiple-input multiple-output orthogonal frequency division multiplexing systems and contains a full diversity. A novel iterative detection algorithm canceling parallel iterations that employ the lattice reduction-aided approach is proposed. Soft information is exchanged through the detector itself. Its iteration occurs inside the detector, which reduces much of the exchange cost between the multiple-input multiple-output orthogonal frequency division multiplexing detector and the turbo decoder. Since the parallel interference cancellation algorithm is constrained by the accuracy of the initial value of the detection, it is easy to form error propagation after several iterations. Due to the lattice reduction-aided algorithm, its performance is approximated with the maximum likelihood algorithm. Therefore, the lattice reduction-aided algorithm is introduced into the parallel interference cancellation algorithm to make its detection algorithm more accurate and overcome the effect of error propagation in the manuscript. Simulation results indicate that the proposed algorithm leads to an improvement of 0.8 dB to 2 dB when the bit error rate is set to 10− 4 when compared to other algorithms.
CICADA: a circRNA effort to Ghost proteome
Authors: Sun Liang , Fan Liyuan , Zhou Xinyuan , Li Mian , Gao Anwei , Yu Haojie , Tian Hui , Liao Liandi , Xu Liyan 
Published: September 2023

Abstract
Coding genes constitute only a small portion of the human genome. Recently, circular RNAs (circRNAs), commonly thought to be noncoding, have been demonstrated to be translated into novel proteins, which might mediate diverse biological processes. However, it remains challenging to identify translatable circRNAs and circRNA-coded proteins. Here, we introduce CICADA, an algorithm capable of evaluating the coding ability of circRNAs and inferring circRNA-coded products. We find that CICADA's performance is highly efficient and cost-effective compared to existing algorithms. Moreover, we used CICADA to successfully identify functional translatable circRNAs in esophageal squamous cell carcinoma and construct circRNA translation profiles across various cancers. CICADA provides an efficient tool to explore the hidden proteome encoded by translatable circRNAs.
An Analysis of the Blockchain Based E-Healthcare Systems using a Bibliometric Study
Authors: Malla Jyotsna , Singathala Harshith , V Madhu Viswanatham 
Published: September 2023

Abstract

Network and Communication industry has seen a huge advancement in the technology aspect and also the way they function. It was due to the rapid increase in the use and development of the Internet and the essential role it is playing in our everyday life. The change in these technologies has led to provide many different type of services such as gaming, online orders, e-shopping, etc.. and mainly e-healthcare. E-healthcare is to provide the services related to the health with the usage of modern technologies like the Internet, advancement in mobile devices, personal computers and all our surrounding technology. It mainly works with the patients medical records and details with which we can know the whole insights of the patient problems. In traditional method all the information is written manually and kept safely. But may be due to the lack of good documentation, non-track ability from remote locations, communicating his health records to other location hospitals, losing of records if they are too old, and many more problems started arising for which a solution has to be made. So, e-health care is the one-stop solution for it and all health care is moving towards it with making their full information digitization. It offers a lot more advantages than traditional ways of storing and processing the information. Trust and security are the major concerns which needs to be addressed. This article demonstrated an in-depth analysis of blockchain being a promising technology for creating a e-healthcare ecosystem. Blockchain is one among the technologies that are becoming significant attention within the healthcare industry. Any blockchain in healthcare use case shows the rationale behind the increase of this technology within the sector. But for blockchain to reach its full potential, it’s essential that governments and public institutions map the blockchain ecosystem, and establish a blockchain framework for coordinating early adopters.
Exploring the Quantum-to-Classical Vortex Flow: Quantum Field Theory Dynamics in Rotating Curved Spacetimes
Authors: Weinfurtner Silke , Švansčara Patrik , Smaniotto Pietro , Solidoro Leonardo , MacDonald James , Patrick Sam , Gregory Ruth , Barenghi Carlo 
Published: September 2023

Abstract
Gravity simulators [1] are laboratory systems where small excitations like sound [2] or surface waves [3] behave as fields propagating on a curved spacetime geometry. The analogy between gravity and fluids requires vanishing viscosity [2, 3], a feature naturally realised in superfluids like liquid helium or cold atomic clouds [4-6]. Such systems have been successful in verifying key predictions of quantum field theory in curved spacetime [6-9]. In particular, quantum simulations of rotating curved spacetimes indicative of astrophysical black holes require the realisation of an extensive vortex flow [10] in superfluid systems. Despite the inherent instability of multiply quantised vortices [11, 12], here we demonstrate that a stationary giant quantum vortex can be stabilised in superfluid 4He. Its compact core carries thousands of circulation quanta, prevailing over current limitations in other physical systems such as magnons [4], cold gases [5, 6] and polaritons [13, 14]. We introduce a minimally invasive way to characterise the vortex flow [15, 16] by exploiting the interaction of micrometre-scale waves on the superfluid interface with the background velocity field. Intricate wave- vortex interactions, including the detection of bound states and distinctive analogue black hole ringdown signatures, have been observed. These results open new avenues to explore quantum-to-classical vortex transitions and utilise superfluid helium as a finite temperature quantum field theory simulator for rotating curved spacetimes [17].
Evaluation of the effect of implant scan body materials, alignment, exposed heights, and inter-scan body distances on the accuracy of digital implant impressions
Authors: Badr Mohamed Osama , Sabahy Maryam Hamed , Metwally Nayrouz Adel , Khamis Mohamed Moataz 
Published: September 2023

Abstract

Background.
An accurate digital impression of the scan body is essential to replicate the actual implant position in the software program. However, studies analyzing the scanning accuracy using different scan body materials, angulations, exposures, and inter-scan body distances are scarce. The purpose of this in vitro study was to determine the effect of scan body materials, alignment, exposed heights, and inter-scan body distances on the accuracy of digital impressions.
Methods.
Two edentulous maxillary epoxy models were used in this study. The first model had 4 dummy implants (Dentium Superline; Dentium Co, Ltd). Two scan body materials, namely PEEK and titanium were tested together with the variable inter-scan body distances. The second model had 6 dummy implants; 3 with different angulations and 3 placed at different levels from the gingival margin. PEEK scan bodies were attached to all implants that were scanned by using a laboratory scanner. All standard tessellation language (STL) files were imported into a surface matching software program (GOM Inspect; GOM). Linear and angular deviation measurements were made. The Shapiro-Wilk test of normality was used. Comparison between the study was done using the appropriate test.
Results.
The linear and angular deviation values (µm) of the titanium group were higher than the PEEK group. Both linear and angular deviation values(µm) were significantly higher in the long inter-scan body distance group than the short one (P = .002). Regarding the effect of the angulation, the highest deviation values (µm) were recorded at the 30-degree angulation with no statistically significant difference between the 3 groups (P = .41). Regarding scan body exposed heights, the linear and angular deviation values (µm) were significantly increased (P < .001) as the supragingival exposed height of the scan body was reduced.
Conclusions.
PEEK scan body material, with a short inter-scan body distance and more exposed part of the scan body can enhance the accuracy of the digital impression. Scan body angulation did not significantly affect the accuracy of the digital impression although more deviation was reported with 30-degree angulation.