bluuebunny/crossref_metadata_2025_split huggingface dataset:
Endoplasmic reticulum stress: molecular mechanism and therapeutic targets
Authors: Chen Xingyi , Shi Chaoran , He Meihui , Xiong Siqi , Xia Xiaobo 
Published: September 2023

AbstractThe endoplasmic reticulum (ER) functions as a quality-control organelle for protein homeostasis, or “proteostasis”. The protein quality control systems involve ER-associated degradation, protein chaperons, and autophagy. ER stress is activated when proteostasis is broken with an accumulation of misfolded and unfolded proteins in the ER. ER stress activates an adaptive unfolded protein response to restore proteostasis by initiating protein kinase R-like ER kinase, activating transcription factor 6, and inositol requiring enzyme 1. ER stress is multifaceted, and acts on aspects at the epigenetic level, including transcription and protein processing. Accumulated data indicates its key role in protein homeostasis and other diverse functions involved in various ocular diseases, such as glaucoma, diabetic retinopathy, age-related macular degeneration, retinitis pigmentosa, achromatopsia, cataracts, ocular tumors, ocular surface diseases, and myopia. This review summarizes the molecular mechanisms underlying the aforementioned ocular diseases from an ER stress perspective. Drugs (chemicals, neurotrophic factors, and nanoparticles), gene therapy, and stem cell therapy are used to treat ocular diseases by alleviating ER stress. We delineate the advancement of therapy targeting ER stress to provide new treatment strategies for ocular diseases.
Multifilamentary switching of Cu/SiOx memristive devices with a Ge-implanted a-Si underlayer for analog synaptic devices
Authors: Kim Keonhee , Lim Jae Gwang , Hu Su Man , Jeong Yeonjoo , Kim Jaewook , Lee Suyoun , Kwak Joon Young , Park Jongkil , Hwang Gyu Weon , Lee Kyeong-Seok , Park Seongsik , Lee Wook-Seong , Ju Byeong-Kwon , Park Jong Keuk , Kim Inho 
Published: September 2023

AbstractVarious memristive devices have been proposed for use in neuromorphic computing systems as artificial synapses. Analog synaptic devices with linear conductance updates during training are efficiently essential to train neural networks. Although many different analog memristors have been proposed, a more reliable approach to implement analog synaptic devices is needed. In this study, we propose the memristor of a Cu/SiOx/implanted a-SiGex/p++ c-Si structure containing an a-Si layer with properly controlled conductance through Ge implantation. The a-SiGex layer plays a multifunctional role in device operation by limiting the current overshoot, confining the heat generated during operation and preventing the silicide formation reaction between the active metal (Cu) and the Si bottom electrode. Thus, the a-SiGex interface layer enables the formation of multi-weak filaments and induces analog switching behaviors. The TEM observation shows that the insertion of the a-SiGex layer between SiOx and c-Si remarkably suppresses the formation of copper silicide, and reliable set/reset operations are secured. The origin of the analog switching behaviors is discussed by analyzing current-voltage characteristics and electron microscopy images. Finally, the memristive-neural network simulations show that our developed memristive devices provide high learning accuracy and are promising in future neuromorphic computing hardware.
Analysis and ranking of corrosion causes for water pipelines: a critical review
Authors: Hussein Farh Hassan M. , Ben Seghier Mohamed El Amine , Taiwo Ridwan , Zayed Tarek 
Published: September 2023

AbstractCorrosion is still the most common contributor to failures in Water Distribution Networks (WDNs), causing detrimental techno-socio-economic impacts. Although the corrosion process has been the subject of several studies, factors influencing this process remain a source of contention due to the complexity of the process and its influence by the surrounding environment. Considering the prior reviews, this comprehensive review is considered an early attempt to thoroughly cover the most influential corrosion factors in water pipelines. Corrosion factors have been classified into three main categories: 1) environmental factors; soil factors, external factors, and stray current factors; 2) pipe-related factors, and 3) operational factors. A fault tree analysis diagram was used to map, discuss, and analyze all significant corrosion causes of the buried water pipelines to facilitate easy visualization from basic factors to their intermediate and parent factors. Furthermore, the techno-socio-economic impacts of corrosion on water pipelines and beyond are appropriately addressed to demonstrate the issue’s multi-dimensional importance. The research is expanded to rank these factors using the fuzzy analytical hierarchy process to provide a better understanding of the currently focused research investigation and to enable the extraction of gaps and existing limitations in scholarly literature. The findings revealed that water quality is the most investigated factor, followed by electrical infrastructure and soil quality. Conversely, operational factors exhibit the greatest relative weight (0.428), followed by environmental factors (0.337). These findings highlight areas where further research is needed, and the article proposes potential directions for future studies to address these gaps.
Muometric positioning system (muPS) utilizing direction vectors of cosmic-ray muons for wireless indoor navigation at a centimeter-level accuracy
Authors: Tanaka Hiroyuki K. M. 
Published: September 2023

AbstractSince the development of many future technologies are becoming more and more dependent on indoor navigation, various alternative navigation techniques have been proposed with radio waves, acoustic, and laser beam signals. In 2020, muometric positioning system (muPS) was proposed as a new indoor navigation technique; in 2022, the first prototype of wireless muPS was demonstrated in underground environments. However, in this first physical demonstration, its navigation accuracy was limited to 2–14 m which is far from the level required for the practical indoor navigation applications. This positioning error was an intrinsic problem associated with the clock that was used for determining the time of flight (ToF) of the muons, and it was practically impossible to attain cm-level accuracy with this initial approach. This paper introduces the completely new positioning concept for muPS, Vector muPS, which works by determining direction vectors of incoming muons instead of utilizing ToF. It is relatively easier to attain a 10-mrad level angular resolution with muon trackers that have been used for muographic imagery. Therefore, Vector muPS retains the unique capacity to operate wirelessly in indoor environments and also has the capacity to achieve a cm-level accuracy. By utilizing an essentially different concept from what is used in other navigation techniques, (measuring the distance between the reference and the receiver), Vector muPS enables more flexible, and longer-term stable positioning. Anticipated applications and the future outlook of Vector muPS is also discussed.
Regulation of follicular activation signaling pathways by in vitro inhibition of YAP/TAZ activity in mouse ovaries
Authors: Devos Melody , Dias Nunes Joana , Donfack Jiatsa Nathalie , Demeestere Isabelle 
Published: September 2023

AbstractThe Hippo pathway plays a crucial role in the regulation of follicular activation, which constitutes the first step of the folliculogenesis process. Disruption of this pathway occurs in several non-physiological contexts, after fragmentation for ovarian tissue cryopreservation procedures or chemotherapy exposure, leading to massive follicular growth and depletion. This study aimed to investigate the effect of controlling the Hippo pathway using verteporfin (VERT) during in vitro ovarian culture and to evaluate its potential preventive effects on chemotherapy-induced follicle activation using a mouse model. After exposure of cut ovaries to different concentrations of VERT for 3 h, a dose-dependent effect of VERT was observed that reached significant inhibition of YAP activity at 3 µmol/L. To assess the potential effect of controlling chemotherapy-induced Hippo pathway disruption, whole mouse ovaries were exposed to VERT alone or as a co-treatment with 4-hydroperoxycylophosphamide (4HC). VERT co-treatment prevented chemotherapy-induced YAP activation but had a limited impact on downstream effector gene, Ccn2. Surprisingly, VERT co-treatment also prevented mTOR and survival signaling pathway alterations following chemotherapy exposure. These results suggest an interaction between the two main signaling pathways regulating follicle activation and a protective effect of VERT on 4HC-induced DNA damage.
A fast strapdown gyrocompassing algorithm based on INS differential errors
Authors: Atashgah M. A. Amiri , Mohammadkarimi Hamed , Ebrahimi Mehrdad 
Published: September 2023

AbstractThis paper presents an enhanced algorithm for inertial gyrocompassing using strapdown sensors, which performs faster than the other available ones. The proposed algorithm is based on differential errors in an inertial navigation system and requires only the output of the inertial measurement unit while extracting and compensating for the inertial sensor errors. After eliminating the error of the inertial sensors, which is accomplished swiftly, the coarse alignment algorithm performs with error-compensated sensors, and the true north is extracted accurately. The number of non-observable parameters of the algorithm is equal to that of the fine alignment algorithm; therefore, its accuracy is the same as that of a well-tuned fine alignment. Numerical simulations and lab experiments demonstrate that the proposed method performs heading estimation in the time required to perform the coarse alignment, which is faster than the existing fine alignment algorithms.
Comparative analysis of the expansion rate and soil erodibility factor of some gullies in Nnewi and Nnobi, Southeastern Nigeria
Authors: Nzereogu Stella Kosi , Igwe Ogbonnaya , Emeh Chukwuebuka Odinaka , Ukor Kelechi Paulinus , Echezona Pearl Elochukwu 
Published: September 2023

AbstractThe research focused on assessing the expansion rate and soil erodibility factor (K) of specific gullies located in Nnewi and Nnobi, Southeastern Nigeria. Fifteen representative gullies were studied extensively. The Grain size distribution analysis revealed that the soils are composed of gravel (5.77–17.67% and 7.01–13.65%), sand (79.90–91.01% and 82.47–88.67%), and fines (2.36–4.05% and 3.78–5.02%) for Nnewi and Nnobi respectively. The cohesion and internal friction angle values range from 1–5 to 2–5 kPa and from 29–38° to 30–34° for Nnewi and Nnobi respectively, which suggests that the soils have low shear strength and are susceptible to shear failure. The plasticity index (PI) of the fines showed that they are nonplastic to low plastic soils and highly liquefiable with values ranging from 0–10 to 0–9% for Nnewi and Nnobi respectively. Slope stability analysis gave factor of safety (FoS) values in the range of 0.50–0.76 and 0.82–0.95 for saturated condition and 0.73–0.98 and 0.87–1.04 for unsaturated condition for both Nnewi and Nnobi respectively indicating that the slopes are generally unstable to critically stable. The erosion expansion rate analysis for a fifteen-year period (2005–2020) revealed an average longitudinal expansion rate of 36.05 m/yr and 10.76 m/yr for Nnewi and Nnobi gullies respectively. The soil erodibility factor (K) are 8.57 × 10−2 and 1.62 × 10−4 for Nnewi and Nnobi respectively indicating that the soils in Nnewi have higher erodibility potentials than those of Nnobi. Conclusively, the Nnewi area is more prone to erosion than the Nnobi area.
Evaluation of antibiofilm properties of dehydroacetic acid (DHA) grafted spiro-oxindolopyrrolidines synthesized via multicomponent 1,3-dipolar cycloaddition reaction
Authors: Suresh Babu Adukamparai R. , Sharma Akanksha , Athira M. P. , Alajangi Hema K. , Naresh Raj A. R. , Gartia Janeka , Singh Gurpal , Barnwal Ravi Pratap 
Published: September 2023

AbstractThe current work involves the use of dehydroacetic acid based chalcone derivatives for the synthesis of spirooxindole grafted pyrrolidine moieties. All the synthesized compounds have been characterized using spectroscopic techniques such as NMR (1H-NMR and 13C-NMR), IR, mass and elemental analysis. Molecular mechanics studies were performed to comprehend the regioselectivity in the product formation. Molecular docking of the synthesized compounds was performed with few bacterial proteins of Bacillus subtilis and Pseudomonas aeruginosa responsible for biofilm formation followed by molecular dynamics simulations with the potential lead compound. Further, to corroborate the results obtained via in silico study, anti-biofilm activity etc. of the synthesized compounds (4a–e) was checked for effectiveness against biofilm formation. Taken together, this study opens up to explore these compounds’ multiple roles in diverse fields in the arena of medical sciences.
A new versatile peroxidase with extremophilic traits over-produced in MicroTom cell cultures
Authors: Gogliettino Marta , Cocca Ennio , Apone Fabio , Del Prete Sonia , Balestrieri Marco , Mirino Sara , Arciello Stefania , Palmieri Gianna 
Published: September 2023

AbstractPeroxidases are widespread key antioxidant enzymes that catalyse the oxidation of electron donor substrates in parallel with the decomposition of H2O2. In this work, a novel tomato peroxidase, named SAAP2, was isolated from MicroTom cell cultures, purified, and characterised. The enzyme was identified with 64% sequence coverage as the leprx21 gene product (suberization-associated anionic peroxidase 2-like) from Solanum lycopersicum, 334 amino acids long. Compared to other plant peroxidases, SAAP2 was more active at elevated temperatures, with the optimal temperature and pH at 90 °C and 5.0, respectively. Furthermore, the enzyme retained more than 80% of its maximal activity over the range of 70–80 °C and the presence of NaCl (1.0–4.5 M). It also exhibited broad pH versatility (65% relative activity over the pH range 2.0–7.0), acid-tolerance (80% residual activity after 22 h at pH 2.0–7.0), high thermostability (50% residual activity after 2 h at 80 °C) and proteolytic resistance. SAAP2 exhibited exceptional resistance under thermo-acidic conditions compared to the horseradish peroxidase benchmark, suggesting that it may find potential applications as a supplement or anti-pollution agent in the food industry.
Will Brain Imaging Lead to a Translational Neuroscience of Stuttering?
Authors: Bowers Andrew 
Published: September 2023

Purpose:
This perspective article examines whether brain imaging in stuttering will lead to a translational neuroscience of stuttering.

Method:
A brief narrative review of insights gained from neuroimaging in stuttering is provided, followed by a series of questions about whether such insights can facilitate better understanding sufficient to inform a translational neuroscience of stuttering.

Results and Conclusions:
Despite the continually growing body of brain imaging data and the introduction of causal approaches, it is unclear whether or how neuroimaging will lead to brain-based approaches to facilitate neuroplasticity or the development of novel interventions. Most neuroimaging studies to date have focused on overt stuttering as a primary behavioral correlate of brain images or causal manipulations, but it is unclear how those measures are related to important insights derived from the internal experience of stuttering. It is suggested that additional knowledge working from cognitive–behavioral–affective measures derived from the experience of stuttering could lead to further insights into underlying mechanisms that would be a boon to translational neuroscience. Following broader objections to reductionism in neuroscience, it is argued that functional models and cognitive processes specific to stuttering in context are critical as epistemological priors followed by careful behavioral and then neurophysiological experiments. As a potential path forward, a pluralistic perspective is offered, working from multifactorial conceptualizations of stuttering and Marr's concept of multiple levels.
Single‐mode optical fibre digital decoder based on polarization using a K‐nearest neighbour algorithm
Authors: Ibáñez‐Camarillo David , Martínez‐Piñón Fernando , Márquez‐Olivera Moisés Vicente , Hernández‐Herrera Viridiana Gudelia , Vidal‐Beltrán Sergio 
Published: September 2023

AbstractIt is shown experimentally a new digital optical decoding scheme based on the transmission or polarized light at p polarization planes using a K‐Nearest Neighbour (KNN) algorithm through a single‐mode optical fibre at 633 nm. The optical power signal is sent at p polarization planes which constitute p classes required for signal bit recognition. Results show that it is possible to recognize 32 polarizations planes, 5 bits, using 4 features corresponding to the measurement of optical power at 4 different angles at the photodetector side with an average assertiveness of 99.02%.
Analyzing the maximum angle of light‐emitting diodes for indoor visible light communication
Authors: Inn Arbaiah , Hassan Rosilah , Hasan Mohammad Kamrul , Latiff Liza Abdul , Deriche Mohamed 
Published: September 2023

AbstractIn this letter, an optimal arrangement of the Light‐Emitting Diodes (LED) for an indoor Visible Light Communication (VLC) setup is presented by using the simulation model. The idea is to get the maximum angle of covering the area of the LED as an access point during user mobility in keeping the connectivity between the user and the access point. As a result, an analysis of data rate measurement is discussed using the maximum angle rotation of the LED as an access point. The authors present validation simulation results for a Line‐of‐Sight configuration. The authors demonstrated that the angle change movement can be carried out efficiently. Results suggest that the directivity at the transmitter can enlarge the area region of the transmitter and user mobility.
Optimal negative sequence current suppression strategy without phase‐locked loop based on the control of clustered new energy power stations
Authors: Li Zhenxing , Zhu Yi , Hu Cong , Tan Hong , Weng Hanli , Li Zhenhua 
Published: September 2023

AbstractIn the context of extremely uneven sources and loads in China, several large‐scale power transmission systems have been established. Affected by the small equivalent impedance of the system, the increase of negative sequence currents during open‐phase operation has seriously threatened the stable operation of synchronous generators. The necessity of negative sequence current suppression is particularly prominent. To address the above issues, this paper analyzes the feasible negative sequence suppression capacity of the grid‐connected inverter under the principle of positive sequence priority. Using the geometric analysis method to determine the optimal suppression capacity. The none‐phase‐locked loop (PLL) control method is used to improve the response speed and form the negative sequence current suppression strategy adapted to the open‐phase operation period. A simulation model was built in PSCAD to verify the effectiveness of the proposed strategy. The result shows that the suppression strategy has a faster response than the conventional PLL control. In scenarios with large negative sequence currents to be suppressed, a maximum suppression effect of approximately 63% can be achieved. Compared with the traditional suppression capacity selection, the strategy in this paper can reduce the residual of negative sequence current by about 10% at most. The negative sequence currents intruding into the generator can be effectively suppressed without additional devices.
High‐frequency resonance in HVDC and wind systems: Root causes and solutions
Authors: Sun Jian , Vieto Ignacio , Buchhagen Christoph 
Published: September 2023

AbstractThis paper presents methods to model and solve high‐frequency resonance problems in HVDC and wind power systems. Control and digital PWM delays are identified as a common root cause for such resonances. A systematic method to include such delays in small‐signal sequence impedance models is presented. The developed models are fully validated and used to characterize the effects of delay on system stability. In addition to full models that can predict the associated impedance and negative damping behaviour accurately, simplified approximate models are also presented to gain insights. The method is applied to type‐III and type‐IV turbines as well as HVDC converters based on modular multilevel converters (MMC). In addition to resonance of MMC and wind turbines with overhead transmission lines, the paper also identifies several other modes of high‐frequency resonance, including resonance between wind turbines and MMC HVDC converters, among different wind turbines, and between MMC HVDC converters and cables. Different methods to damp high‐frequency resonances are also discussed and demonstrated.
An improved uncertainty autoencoder with blurred measurements
Authors: Xu Ke , Wu Weiqiang , Xu Hongguang 
Published: September 2023

AbstractCompressed sensing (CS) techniques have enabled efficient acquisition and recovery of sparse high‐dimensional data via succinct low‐dimensional projections, which usually consist of an encoder and a decoder. Unlike conventional CS techniques with the encoding–decoding architecture, the uncertainty autoencoder (UAE) can sample from the learned input data distribution without an explicit likelihood function and hence avoids potential uninformative latent representations. However, existing works on UAE mainly focus on the encoders and maximize the lower bound of the mutual information between input and measurements, rather than the decoders, which brings the shortcoming that the two may not cope well. In this work, the authors propose a novel training scheme for UAE that blurs the measurements to learn the encoder and decoder simultaneously. Experimental results show that the proposed method improves the reconstruction performances when applied to UAE.
Retracted Article: Adaptation and Assimilation Measurement in Human-Computer Interaction: Implementation of Sustainable Society
Authors: Indrawati Desi 
Published: September 2023

This article has been retracted upon request of the author.
Data has been used without permission from the author’s research team. This compromises the integrity of the research. The proceedings Editors and the Publisher are not responsible for the mistake.
The Publisher approved the retraction.