bluuebunny/crossref_metadata_2025_split huggingface dataset:
Implicit and Explicit Knowledge_Based Deep learning Technique for Indoor Wayfinding Assistance Navigation
Authors: Afif Mouna , Ayachi Riadh , Yahia Said , Atri Mohamed 
Published: May 2023

Abstract

indoor objects and recognition present a very important task in artificial intelligence (AI) and computer vision fields. This task is an increasingly important especially for blind and visually impaired (BVI) indoor assistance navigation. An increasing interest is addressed for building new assistance technologies used to improve the daily life technologies used to improve the daily life activities qualities for BVI persons. To fulfill this need we propose in this work a new deep learning based techniques used for indoor wayfinding assistance navigation. we propose to use in this paper a new deep learning-based technique based on You Only Learn One Representation YOLOR network. This network enables a combination between implicit and explicit learning and knowledge just like the human brain can do. By introducing the implicit knowledge, the neural network is able to generate a unified representation that can serve for different tasks. In order to train and test the proposed indoor wayfinding assistance system, we proposed to work with the proposed indoor signage dataset. Based on the conducted experiments, the proposed indoor wayfinding system has demonstrated very interesting results. We applied different optimizations techniques in order to reduce the network size and parameters number to make the proposed model suitable for implementation on embedded devices. As a detection performance, we obtained 95.62% mAP for the original version of YOLOR network and 93.12% mAP for the compressed version and 28 FPS as detection speed.
Mitochondrial Diabetes Mellitus with Mitochondrial DNA 3316G&gt;A Mutation: A Unique Autopsy Case Presenting with Sepsis-Associated Cholestasis
Authors: Mashiba Chikara , Shioya Akihiro , Kumagai Motona , Hoshi Daisuke , Yoshida Mitsuteru , Shimasaki Miyako , Oyama Takeru , Shirakawa Tomohiko , Yamada Sohsuke 
Published: May 2023

Abstract
Background
We describe a unique autopsy case of mitochondrial diabetes mellitus (MDM) with mitochondrial DNA 3316G > A mutation, in which, a characteristic sepsis-associated cholestasis was finally recognized via the pathological examinations, and the clinical diagnosis of the cause of jaundice with conjugated hyperbilirubinemia was very difficult.
Case Presentation: A 74-year-old Japanese female was diagnosed with MDM showing a point mutation at mitochondrial DNA 3316G > A on the age of 38. She had been treated with hemodialysis due to the diabetic nephropathy and end-stage renal failure since the age of 66. She noticed urinary tract infection and diabetic gangrene of foot with Gram-negative Bacteroides fragilis bacteremia, followed by aggressive jaundice with high serum level of direct bilirubin, and died 2 months after the symptom onset. At autopsy, multiple foci of bacteremia-induced hemorrhagic infarction were observed in the congestive bilateral lungs, whereas the cholestatic liver revealed no overt gross cholangiectasis. Microscopic findings characteristically showed many bile thrombi in the biliary canaliculi of hepatic lobules without any evidence of severe shock liver. Finally, we diagnosed exclusively and conclusively as sepsis-associated cholestasis due to the marked elevation of Gram-negative bacteria-derived endotoxins and inflammatory cytokines.
Conclusion
We propose that these unique liver features in our MDM case might be one of new clues to unveil its enigmatic etiology. Further prospective studies are needed to validate the presence and significance of sepsis-associated cholestasis, after collecting and investigating a larger number of MDM cases with mitochondrial DNA 3316 mutation examined.
Protecting the privacy of social network data using graph correction
Authors: Toroghi Amir Dehaki , Hamidzadeh Javad 
Published: May 2023

Abstract

Today, the rapid development of online social networks, as well as low costs, easy communication, and quick access with minimal facilities have made social networks an attractive and very influential phenomenon among people. The users of these networks tend to share their sensitive and private information with friends and acquaintances. This has caused the data of these networks to become a very important source of information about users, their interests, feelings, and activities. Analyzing this information can be very useful in predicting the behavior of users in dealing with various issues. But publishing this data for data mining can violate the privacy of users. As a result, data privacy protection of social networks has become an important and attractive research topic. In this context, various algorithms have been proposed, all of which meet privacy requirements by making changes in the information as well as the graph structure. But due to high processing costs and long execution times, these algorithms are not very appropriate for anonymizing big data. In this research, we improved the speed of data anonymization by using the number factorization technique to select and delete the best edges in the graph correction stage. We also used the Chaotic Krill Herd algorithm to add edges, and considering the effect of all edges together on the structure of the graph, we selected edges and added them to the graph so that it preserved the graph's utility. The evaluation results on the real-world datasets, show the efficiency of the proposed algorithm in Comparison with the state-of-the-art methods to reduce the execution time and maintain the utility of the anonymous graph.
Engineering stringent genetic biocontainment of yeast with a protein stability switch
Authors: Hoffmann Stefan A. , Cai Yizhi 
Published: May 2023

Abstract
Synthetic biology holds immense promise to tackle key problems we are facing, for instance in resource use, environmental health, and human health care. However, comprehensive safety measures are needed to deploy genetically engineered microorganisms in open-environment applications. Intrinsic, genetically encoded biocontainment systems, which control cell survival based on environmental cues, can solve this issue. Here, we describe a genetic biocontainment system based on conditional stability of essential proteins. We used a yeast-adapted destabilizing domain degron, which can be stabilized by estradiol addition (ERdd). Leveraging the yeast GFP collection and lab automation platforms, we ERdd-tagged 775 essential genes and screened for strains with estradiol dependent growth. Three genes, SPC110, DIS3 and RRP46, were found to be particularly suitable targets. Respective strains showed no growth defect in the presence of estradiol and strong growth inhibition in its absence. SPC110-ERdd offered the most stringent containment, with an escape frequency of 7.0×10− 8, and full growth restoration at 100 nM estradiol. By systematically analyzing the containment escapees, we identified the non-essential C-terminal region of SPC110 as target for escape mutations. Its removal decreased the escape frequency with a single ERdd tag further to 4.9×10− 9. Combining SPC110-ERdd with a second ERdd tag on either DIS3 or RRP46 resulted in escape frequencies below the detection limit of the used assay (< 2×10− 10). Being based on conditional protein stability, this approach is mechanistically orthogonal to previously reported intrinsic biocontainment systems. It thus can be readily combined with other systems, for instance ones based on transcriptional or translational control of essential gene expression, to achieve multiplexed, extremely stringent control over the survival of engineered organisms.
WITHDRAWN: 1.6 Tbps hybrid bidirectional symmetric TWDM-OFDM PON using 2D spectral/spatial SWZCC code
Authors: SingSH  
Published: May 2023

Abstract

The hybrid time and wavelength division multiplexing passive optical network (TWDM-PON) with a 1:128 split ratio and 16- quadrature amplitude modulation orthogonal frequency division multiplexing (QAM-OFDM) modulation system using optical code division multiple access (OCDMA) code results in high transmission security, channel capacity and robustness against interference. Thus in this paper, a bidirectional symmetric 1.6 Tbps hybrid TWDM-OFDM PON system using two-dimensional spectral/spatial-single weight zero cross-correlation (2D-S/S SWZCC) code supporting a large number of users for long-reach as well as high-speed applications has been proposed and analysed considering fiber impairments and noise. Numerically calculated receiver sensitivity (RS) and splitter power budget (SPB) are -36dBm and 23dB for downstream as well as RS and SPB for upstream transmission of -33dBm and 10dB respectively showing the supremacy of using 2D-S/S SWZCC code in the system than other OCDMA codes. Also, the simulation results show that the proposed system using 2D-SS SWZCC code provides a faithful 120km transmission distance as well as a high transmission rate of 16×15/20Gbps with a maximum received power of -32.8dBm supporting more than 190 simultaneous users. The designed PON system offers the best performance over other conventional PONs. The number of users can be increased up to 250 with an optical signal-to-noise ratio of 110 dB and -30 dBm received power.
Long-term and extensive population decline drives elevated expression of genetic load in a critically endangered seabird
Authors: Chen Guoling , Zheng Chenqing , Peng Lanhui , Yang Jia , Dong Feng , Lu Yiwei , Wang Siyu , Fan Zhongyong , Song Gang , Chen Shuihua , Liu Yang 
Published: May 2023

Abstract

Endangered species serve as valuable models to understand the genetic legacy of historical demographic bottlenecks. Genomic erosion compromises the efficiency of purifying selection on deleterious mutations, thus reducing species’ adaptive potential. Untangling demographic history and its genetic legacy remains a significant challenge for endangered species. Comparing genomic characteristics between a critically endangered seabird, the Chinese crested tern and its abundant sister species, the Great crested tern, we show that the current small population size (< 150 individuals) of the Chinese crested tern is due to massive reduction of effective population size by 98.8% through the Last Glacial Maximum. We found evidence of inbreeding depression in the Chinese crested tern because of elevated expression of deleterious mutations, and more pathogenic variants of disease-related genes, likely leading to fitness loss. These findings highlight the power of conservation genomics between species with different conservation status to understand genomic erosion and inform future conservation management.
Assessing spatial variation in water supply of a city using dasymetric mapping
Authors: Wadwekar Mrunmayi , Kapshe Manmohan 
Published: May 2023

Abstract

Wastewater has the potential to act as a supplement when freshwater resources are limited. To utilize this, city administrators need to identify the type and quantity of wastewater generated and its various functional uses. In countries like India, where detailed data about wastewater is not available, any potential reuse proposal is difficult to design and execute. To cover this gap, this research proposes a technique using dasymetric mapping and Voronoi diagrams to estimate the quantity and spatial distribution of wastewater generated in a city, based on population data and water supply information, by mapping and identifying the variation in the supply. The developed research framework is tested in Bhopal city in India. The results suggest that there is higher water consumption in areas of high population density, whereas wastewater generation displays a greater variation based on land use. Among 217 Voronoi polygons created throughout the city, eight have wastewater generation at more than 10 litres/sq. m of area. The total wastewater generated while considering only municipal water supply was 148.32 MLD. On intersecting the Voronoi polygons with ward boundaries, it is found that six wards generate wastewater more than 50 litres/sq. m, whereas seven wards generate less than 1 litre/sq. m of area.
Application of coupling machine learning techniques and linear Bias scaling for optimizing 10-daily flow simulations, Swat River Basin
Authors: Syed Sibtain , Syed Zain , Mahmood Prince , Haider Sajjad , Khan Firdos , Syed Muhammad Talha , Syed Saqlain 
Published: May 2023

Abstract

Accurate hydrological simulations comply with the water (sixth) Sustainable Development Goals (SDGs). The study investigates the utility of ANN and SVR, as well as the post-simulation bias treatment of these simulations at Swat River basin, Pakistan. For this, climate variables were lag adjusted for the first time, then cross-correlated with the flow to identify the most associative delay time. In sensitivity analysis, seven combinations were selected as input with suitable hyperparameters. For SVR, grid search cross-validation determined the optimal set of hyper-parameters, while for ANN, neurons and hidden layers were optimized by trial and error. We ran model by using optimized hyperparameter configurations and input combinations. In comparison to SVRs (Root mean square error (RMSE) 34.2; mean absolute error (MAE) 3.0; CC 0.91) values, respectively, ANN fits the observations better than SVR with (RMSE 11.9; MAE 1.14; CC 0.99). Linear bias-corrected simulations greatly improved ANN performance (RMSE 3.98; MAE 0.625; CC 0.99), while the improvement was slight in the case of SVR (RMSE 35; MAE 0.58; CC 0.92). On seasonal scale, bias-corrected simulations remedy low- and high-flow seasonal discrepancies. Flow duration analysis results reveal deviation at low- and high-flow conditions by models, which were then reconciled by applying bias corrections.
Organics and inorganics in flow back and produced water from shale gas operations: treatment and identification of glycols using gas chromatography–mass spectrometry
Authors: Kim Seongyun , Omur-Ozbek Pinar , Carlson Ken , Lee Sangchul , Kim Eun-Sik , Hwang Min-Jin , Son Ji-Hee , Kang Woochul 
Published: May 2023

Abstract

This study investigated the efficiency of different water treatment processes in reducing propylene glycol (PG), ethylene glycol (EG), ethylene glycol monobutyl ether (EGME), and other water quality parameters in flow back/produced water from a shale gas well operation. EG, PG, and EGME are the most widely used chemicals in hydraulic fracturing; however, limited investigations on these chemicals have been performed to date. Granular activated carbon (GAC) removed PG and EG to acceptable drinking water levels. Electrocoagulation was effective at decreasing turbidity (85%) as well as total petroleum hydrocarbons (TPH) (80%), while ultrafiltration removed 90% of the turbidity and TPH. GAC further removed approximately 95% of benzene, toluene, ethylbenzene, and xylene (BTEX), total organic carbon, dissolved organic carbon, and glycols but only removed 16% of total dissolved solids (TDS). Reverse osmosis removed approximately 90% of TDS (2,550 mg/L); however, this level remained high for certain purposes. Although some water quality parameters remained above the reusability threshold for most purposes, the treated water could be used on tolerant plants and permeable soils. In-depth knowledge and understanding of flow back/produced water quality characteristics, pre and post water treatment processes, can improve water treatment process strategies, reduce wastewater discharge, and improve treated water's reusability.
Norfloxacin removal by ultraviolet-activated sodium percarbonate and sodium hypochlorite: process optimization and anion effect
Authors: Yazici Guvenc Senem , Turk Oruc Kaan , Can-Güven Emine , Garazade Narmin , Varank Gamze 
Published: May 2023

Abstract

The efficiency of UV-activated sodium percarbonate (SPC) and sodium hypochlorite (SHC) in Norfloxacin (Norf) removal from an aqueous solution was assessed. Control experiments were conducted and the synergistic effect of the UV-SHC and UV-SPC processes were 0.61 and 2.89, respectively. According to the first-order reaction rate constants, the process rates were ranked as UV-SPC &gt; SPC &gt; UV and UV-SHC &gt; SHC &gt; UV. Central composite design was applied to determine the optimum operating conditions for maximum Norf removal. Under optimum conditions (UV-SPC: 1 mg/L initial Norf, 4 mM SPC, pH 3, 50 min; UV-SHC: 1 mg/L initial Norf, 1 mM SHC, pH 7, 8 min), the removal yields for the UV-SPC and UV-SHC were 71.8 and 72.1%, respectively. HCO3−, Cl−, NO3−, and SO42− negatively affected both processes. UV-SPC and UV-SHC processes were effective for Norf removal from aqueous solution. Similar removal efficiencies were obtained with both processes; however, this removal efficiency was achieved in a much shorter time and more economically with the UV-SHC process.
COVID-19 related Complications during Pregnancy: A Systematic Review
Authors: Abdullah Marzoog Basheer 
Published: May 2023

Background:
The topic of COVID-19 (coronavirus disease)-associated complications during pregnancy is poorly postulated and remains an area that requires elucidation for the underlying pathophysiology mechanism in order to evaluate a new therapeutic strategy and optimize current therapies.

Aim:
The study aimed to assess the proportion of associated complications with COVID-19 and the underlying pathophysiology in pregnant women.

Methods:
The MedLine and Embase databases were searched for studies relevant to the study topic.

Results:
Preterm delivery and C-section have been found to be the most frequently reported complications. Approximately, 28.55% of pregnant women with symptomatic COVID-19 have been reported to require a C-section and 8.8% preterm delivery. In addition, anxiety and depression have also been frequently reported in 57% and 37% of pregnant women, respectively.

Conclusion:
Symptomatic pregnant women with COVID-19 have a high risk of preterm labor, mortality and morbidity rates, and C-section requirements. The underlying pathophysiology of COVID-19-associated complications during pregnancy includes homeostatic disturbances of the immune system, pulmonary system, and hemostatic system. In addition to endothelial dysfunction, excessive immune response, coagulopathy, hypoxemia, and hypotension are involved in the pathogenesis that negatively affects neonates' health outcomes.
HSP90-regulated CHIP/TRIM21/p21 Axis Involves in the Senescence of
Osteosarcoma Cells
Authors: Gao Xuejuan , Xu Gui-Sheng , Lin Yu-Ning , Zeng Qingzhong , Li Zhi-Peng , Xiao Teng , Ye Yong-Sheng , Li Zhen-Yan 
Published: May 2023

Background:
OS is the most frequent malignant bone tumor with a poor prognosis.
TRIM21 has been reported to play a critical role in OS by regulating the expression of the TXNIP/p21
axis and inhibiting the senescence of OS cells.

Aims:
Investigation of the molecular mechanism of tripartite motif 21 (TRIM21) in osteosarcoma (OS)
would shed light on the understanding of the pathogenesis of OS.

Objective:
This study aimed to explore the mechanism regulating the protein stability of TRIM21 in
the process of OS senescence.

Methods:
Human U2 OS cells were used to establish stable cells overexpressing TRIM21 (induced by
Dox) or knocking down TRIM21. The co-immunoprecipitation (co-IP) assay was used to examine the
interaction between TRIM21 and HSP90. Immunofluorescence (IF) assay was used to observe
colocalization in OS cells. Western blot analysis was applied to detect the protein expression, and
quantitative real-time PCR (qRT-PCR) assay was used to test the mRNA expression of corresponding
genes. SA-β-gal staining was used to evaluate OS senescence.

Results:
In this study, we verified the interaction between HSP90 and TRIM21 using a co-IP assay.
Knockdown or inhibition of HSP90 with its inhibitor 17-AAG accelerated the degradation of TRIM21
by the proteasome in OS cells. CHIP E3 ligase mediated this degradation of TRIM21, with the
knockdown of CHIP rescuing the downregulation of TRIM21 induced by 17-AAG. TRIM21 inhibited
OS senescence and downregulated the expression of senescence marker p21, while CHIP exhibited an
opposite regulatory role on p21 expression.

Conclusion:
Taken together, our results demonstrated that HSP90 is responsible for the stabilization
of TRIM21 in OS and that the CHIP/TRIM21/p21 axis controlled by HSP90 affects the senescence of
OS cells.
Protein Engineering, a Robust Tool to Engineer Novel Functions in Protein
Authors: Nancy  , Lakhawat Sudarshan Singh , Chandel Sanjeev , Jaswal Sunil Kumar , Sharma Pushpender Kumar 
Published: May 2023

Abstract:
Designing effective diagnostics, biotherapeutics, and biocatalysts are a few interesting
potential outcomes of protein engineering. Despite being just a few decades old, the discipline of de
novo protein designing has provided a foundation for remarkable outcomes in the pharmaceuticals and
enzyme industries. The technologies that will have the biggest impact on current protein therapeutics
include engineered natural protein variants, Fc fusion protein, and antibody engineering. Furthermore,
designing protein scaffolds can be used in developing next-generation antibodies and in transplanting
active sites in the enzyme. The article highlights the important tools and techniques used in protein
engineering and their application in the engineering of enzymes and therapeutic proteins. This review
further sheds light on the engineering of superoxide dismutase, an enzyme responsible for catalyzing
the conversion of superoxide radicals to oxygen and hydrogen peroxide by catalyzing a redox reaction
at the metal center while concurrently oxidizing and reducing superoxide free radicals.
A Synoptic Update on Smart Lipid Nanocarrier: Cubosomes, and their
Design Development, and Recent Challenges
Authors: Sreelaya Putrevu , Bhattacharya Sankha 
Published: May 2023

Abstract:
Cubosomes are a kind of nanoparticle that is distinct from solid particles in that they are
liquid crystalline particles formed by self-assembly of a certain surfactant with a current water
ratio. Their unique properties as a result of their microstructure are useful in practical applications.
Cubosomes, specifically lyotropic nonlamellar liquid crystalline nanoparticles (LCNs) have gained
acceptance as a medication delivery strategy for cancer and other disorders. Cubosomes are produced
by the fragmentation of a solid-like phase into smaller particles. Because of its particular
microstructure, which is physiologically safe and capable of allowing for the controlled release of
solubilized compounds, cubic phase particles are garnering considerable attention. These cubosomes
are highly adaptable carriers with promising theranostic efficacy because they can be given
orally, topically, or intravenously. Throughout its operation, the drug delivery system regulates the
loaded anticancer bioactive's target selectivity and drug release characteristics. This compilation
examines recent advances and obstacles in the development and application of cubosomes to treat
various cancers, as well as the challenges of turning it into a potential nanotechnological invasion.