Miracle-dz/UniFAR-FTUs huggingface dataset:
Atmospheric Chemistry of Stir-Frying Emissions

Author(s): Gu, Yuehua | Advisor(s): Cocker, David | Abstract: Airborne particles are one of the most important and certainly the most visible aspects of air pollution. The effects span the areas of human health, visibility degradation, radiation and photochemistry and climate changes. Aerosols are small particles that suspended in the atmosphere which can be in the solid or liquid phase. Cooking is an element source of volatile organic compounds (VOCs) and a potential source of secondary organic aerosol (SOA) both indoors and outdoors. In this study, SOA emissions from oxidation reactions between canola oil, peanut oil and corn oil with O3 and OH radicals were characterized using a flow tube reactor and a potential aerosol mass(PAM) chamber. SOA formed from emissions of atomizing cooking oils through reactions with excess ozone and OH radicals in a flow tube reactor or PAM chamber as well as primary organic aerosol (POA) emissions were characterized using a scanning mobility particle sizer (SMPS), a high-resolution time-of-flight aerosol mass spectrometer (HR-TOF-AMS) and an Aerosol Particle Mass Analyzer(APM). The results show evidence for secondary organic aerosols(SOA) formation and explain the observed mass and composition changes, as well as the surface reaction, occurred during the oxidation reactions.
The repeat domain of the melanosome fibril protein Pmel17 forms the amyloid core promoting melanin synthesis

Pmel17 is a melanocyte protein necessary for eumelanin deposition 1 in mammals and found in melanosomes in a filamentous form. The luminal part of human Pmel17 includes a region (RPT) with 10 copies of a partial repeat sequence, pt.e. gttp.qv. , known to be essential in vivo for filament formation. We show that this RPT region readily forms amyloid in vitro, but only under the mildly acidic conditions typical of the lysosome-like melanosome lumen, and the filaments quickly become soluble at neutral pH. Under the same mildly acidic conditions, the Pmel filaments promote eumelanin formation. Electron diffraction, circular dichroism, and solid-state NMR studies of Pmel17 filaments show that the structure is rich in beta sheet. We suggest that RPT is the amyloid core domain of the Pmel17 filaments so critical for melanin formation.
Single‐ and Multiple‐Dose Pharmacokinetics of Oral Creatine

Supplementation with exogenous creatine (Cr) has shown physiological benefits in humans, but little is known about the pharmacokinetics of Cr in humans. Six healthy males completed an open‐label study consisting of a full pharmacokinetic analysis following a single oral dose of Cr monohydrate (71 mg kg−1) and at steady‐state after 6 days of Cr administration (71 mg kg−1 qid). After the single oral dose, the clearance (CL/F) was 0.20 ± 0.066 L h−1 kg−1, tmax was 1.9 ± 0.88 hours, and Cmax = 102.1 ± 11.2 mg h L−1. At steady‐state, CL/F decreased to 0.12 ± 0.016 L h−1 kg−1, tmax did not change, and Cmax increased to 162.2 ± 30.0 mg L−1. Penetration (AUCMUSCLE/AUCPLASMA) of Cr into the interstitial muscle space, as determined by microdialysis, was 0.47 ± 0.09 and 0.37 ± 0.27 for the single dose and at steady‐state, respectively. Plasma and muscle data were simultaneously fitted with a model incorporating a saturable absorption and first‐order elimination process. In conclusion, repeated dosing of Cr caused a reduction in clearance that could result from saturation of the skeletal muscle pool of Cr.
Fiber Splicer Convertible–Mini Preform Fabrication System

We downscale a lab-sized preform fabrication system to a benchtop miniature preform, hence a short-length fiber fabrication system. The system, which is a large-diameter fiber splicer convertible, is compact, low cost, fast, and flexible as compared with standard preform fabrication processes. Using the proposed system incorporating with a solution doping technique, we have successfully fabricated several ~ 1-mm-thick, 40 ± 10 mm long thulium-doped silica and germania–silica preforms. The preforms were drawn to <inline-formula> <tex-math notation="LaTeX">$400~\mu \text{m}$ </tex-math></inline-formula> diameter, submeter length low NA thulium-doped fibers. Encouraging absorption and emission behaviors were obtained. The technique is promising and suitable for rapid specialty optical fiber prototyping.
Effective Intrusion Detection System Using Deep Learning for DDoS Attacks

An increasing demand for information technology and cloud computing has led to various security threats over internet. Amongst all types of threats, Distributed Denial of Service (DDoS) attacks are the most common, posing a challenge to a cyber security. It allows unauthorized users to gain access to services, and preventing authorized users. Traditional intrusion detection, antivirus software, and firewalls are not enough to detect these attacks. This paper proposed an efficient deep learning-based intrusion detection system (IDS) for DDoS attacks detection. Proposed model is a hybrid CNN-LSTM model which is combination of best DL algorithms to take advantage of CNN to extract spatial features and LSTM to extract temporal features. The real-time DDoS-specific benchmark-dataset CICDDoS2019 used for training, testing, and validation. An autoencoder has been used for dimensionality reduction, and SMOTE method is used to balance the minority class of dataset. The experimental results proved that the model outperforms than other state-of-the-art models, with an accuracy score of 99.86%.
Dispersion of regional wall motion abnormality in patients with long QT syndrome

Objective To examine the left ventricular regional wall motion abnormality and to evaluate dispersion of this abnormality in patients with long QT syndrome. Design Left ventricular short axis images at basal and middle levels were recorded on videotape and digitised to reconstruct digitised M mode echocardiograms, from which left ventricular wall thickness curves were obtained. The wall thickening time (ThT) was defined as the period in which the instantaneous wall thickness exceeded 90% of the maximum wall thickness. ThT was measured at three segments in each of the septal and free wall sides of the left ventricle, a total of 12 segments. To examine the mechanical dispersion of the left ventricle, the difference between the maximum and minimum ThT of 12 segments in each subject was obtained. Patients Eight patients with congenital long QT syndrome (averaged QTc interval (SD) 509 (27) ms1/2) and 10 control subjects (QTc interval 397 (26) ms1/2) were examined. Results The averaged ThT values of the 12 segments pooled from all subjects were correlated with the QT intervals (r = 0.72, p < 0.005). Thus the averaged ThT in the long QT syndrome patients was longer than in the control subjects (p < 0.005). The segmental variation of ThT in the patients was greater than in the control subjects (p < 0.001). The dispersion of ThT in the patients was therefore larger than in control subjects (p < 0.005). However, the pattern of ThT variation in the patients varied according to the individual subject. Conclusions There is not only electrical but also mechanical dispersion in the left ventricle of long QT syndrome patients. Regional assessment of ventricular wall motion may allow quantification of the spatial variation of wall motion abnormality.
Motor Bearing Fault Detection Using Spectral Kurtosis-Based Feature Extraction Coupled With K-Nearest Neighbor Distance Analysis

Bearing faults are the main contributors to the failure of electric motors. Although a number of vibration analysis methods have been developed for the detection of bearing faults, false alarms still result in losses. This paper presents a method that detects bearing faults and monitors the degradation of bearings in electric motors. Based on spectral kurtosis (SK) and cross correlation, the method extracts fault features that represent different faults, and the features are then combined to form a health index using principal component analysis (PCA) and a semisupervised k-nearest neighbor (KNN) distance measure. The method was validated by experiments using a machinery fault simulator and a computer cooling fan motor bearing. The method is able to detect incipient faults and diagnose the locations of faults under masking noise. It also provides a health index that tracks the degradation of faults without missing intermittent faults. Moreover, faulty reference data are not required.
Decision-making Freedom in Delegation of Authority among Managers: A Case of the Office National Assembly Tanzania

This study investigated the influence of a manager's level of decision-making freedom on the effective transfer of authority within the framework of an organization. The study utilized mixed methods encompassing qualitative and quantitative research methodologies, including survey data collected from a varied sample of managers from Tanzania National House of Assembly. The study indicated a robust and favorable association between the level of autonomy granted to managers in decision-making processes and their proficiency in effectively assigning authority to subordinates. Similarly, several types of organizational culture have the potential to either enhance or diminish an association and there exists a strong relationship between the extent of decision-making autonomy granted to managers and their proficiency in delegating authority
Ultra-high density carbon nanotubes on Al-Cu for advanced vias

An integration scheme for carbon nanotube via interconnects is described to produce nanotube densities of 2.5 10<sup>12</sup> tubes/cm<sup>2</sup> or 8 10<sup>12</sup> walls/cm<sup>2</sup> on metallic Al-Cu lines, an order of magnitude beyond the previous state of art, and, for first time, close to that needed for implementation.
Embeddings via Recurrent Language Models

Document embeddings serve to supply richer semantic content for downstream tasks which require fixed length inputs. We propose a novel unsupervised framework by which to train document vectors by using a modified Recurrent Neural Network Language Model, which we call DRNNLM, incorporating a document vector into the calculation of the hidden state and prediction at each time step. Our goal is to show that this framework can effectively train document vectors to encapsulate semantic content and be used for downstream document classification tasks.
Improved Loop Closing with Panoptic Information and Scan Context++ for Accurate Semantic SLAM

Loop closing is a key component in SLAM systems to reduce drift accumulations. Most SLAM systems achieve this by using only low-level geometric features of the scene, leaving the high-level features unused. This paper proposes a combinational approach of panoptic information and Scan Context++ to improve the accuracy of loop closure detection. Integrated into the SC-LeGO-LOAM algorithm, the proposed approach is able to exploit LiDAR odometry and panoptic information to perform loop closure detection as well as pose estimation and mapping. Experimental results showed that system was able to leverage panoptic information to detect loops, showing improvement in resulted maps. However, in certain environments, such as environments with reverse loops, the system suffered and resulted in slightly greater drifts.
The Simplex 3-partite Hypergraph-based Resource Allocation (S3H-RA) Method for Platooning Communications

This work proposed the Simplex 3-partite Hypergraph-based Resource Allocation (S3H-RA) method for multi-platoon. Using S3H-RA, the subchannels that Platoon Leader Vehicles (PLV) can use are assigned at first, for which these subchannels cannot be shared with other entities. Then, a 3-partite hypergraph, in which a 3-partite hyperedge links (1) a cluster of Platoon Member Vehicles (PMV) that use the same subchannel, (2) an individual cellular user and (3) a subchannel, was adopted to devise the PMV s' resource allocation algorithm. The simulation results shown that the proposed S3H-RA method can have the better performance in terms of spectral efficiency and the sum of transmission rate comparing with the other methods.
Comparison of activities of daily living (ADLs) in two different one arm drive wheelchairs: a study of individuals/participants with hemiplegia

Abstract Aims: This pilot study measured activities of daily living performance in individuals/participants with hemiplegia propelling both a standard dual handrim Action 3 wheelchair and a standard Action 3 wheelchair with a Neater Uni-Wheelchair kit attachment. The kit consists of a steerable front. Research questions: Does the use of the NUW affect the performance quality of activities of daily living in individuals/participants with hemiplegia. Is there a difference in the motor and process skills during activities of daily living performance, and in the time taken to complete the activities. Methods: Four individuals/participants with hemiplegia were used in a cross over, repeated measures trial. Assessment of Motor and Process Skills of users undertaking making a bed and laying a table “Swedish style”, tasks were measured and time taken to complete each task were recorded. Results: Bed making completion time was quicker in the Neater Uni-wheelchair (p < 0.03). Motor skills were significantly higher than the process ability skills (p < 0.05). Conclusion: Activities of daily living tasks in the Neater Uni-wheelchair were completed more efficiently with no loss in quality of motor and process skills performance. This suggests that the Neater Uni-wheelchair is a viable alternative to current one arm drive provision. Implications for Rehabilitation Inappropriate wheelchair provision can result in capacity limitation and poorer quality of ADL motor skill as well-lowered process performance skill. AMPS can help to explain motor and process skill differences in complex activities.
Notes on the mammal fauna of the southern part of the Republic of Mali, West Africa

During two short surveys the mammalian fauna of the southern part of the Republic of Mali (West Africa) in the sub-Sahelian belt was investigated. 46 species were recorded altogether. At least nine of them {Crocidiira lamottei, Chaerephon pumila, Scotophilus leucogaster, Eptesicus rendalli, Rhinolophiis fumigatus, Nycteris macrotis, Rattus norvegicus, Acomys cineraceus, Steatomys caurimis) are first records for the country. One other species is documented for the second time {Tatera cf. kempi), one for the third time {Crocidura hisitania). The known range of GerbiUiis cf. gerbillus in Mali was extended further to the south. Rattus norvegicus was found for the first time in mainland Africa; formerly it was only known to occur in harbour towns. The most common rodent in the area was a yet unidentitled form of Mastomys. By morphological characters the species is close to Mastomys natalensis and not to M. eiythroleucus, a name applied by many authors. The commensal small mammal coenoses of some larger towns (Mopti, Djenné, Ségou, Bamako) are compared.
SINE Retroposons Can Be Used In Vivo as Nucleation Centers for De Novo Methylation

ABSTRACT SINEs (short interspersed elements) are an abundant class of transposable elements found in a wide variety of eukaryotes. Using the genomic sequencing technique, we observed that plant S1 SINE retroposons mainly integrate in hypomethylated DNA regions and are targeted by methylases. Methylation can then spread from the SINE into flanking genomic sequences, creating distal epigenetic modifications. This methylation spreading is vectorially directed upstream or downstream of the S1 element, suggesting that it could be facilitated when a potentially good methylatable sequence is single stranded during DNA replication, particularly when located on the lagging strand. Replication of a short methylated DNA region could thus lead to the de novo methylation of upstream or downstream adjacent sequences.
An Efficient Transfer Learning Assisted Global Optimization Scheme for Analog/RF Circuits

Online surrogate model-assisted evolution algorithms (SAEAs) are very efficient for analog/RF circuit optimization. To improve modeling accuracy/sizing results, we propose an efficient transfer learning-assisted global optimization (TLAGO) scheme that can transfer useful knowledge between neural networks to improve modeling accuracy in SAEAs. The novelty mainly relies on a novel transfer learning scheme, including a modeling strategy and novel adaptive transfer learning network, for high-accuracy modeling, and greedy strategy for balancing exploration and exploitation. With lower optimization time, TLAGO can have a faster rate of convergence and more than 8% better performances than GASPAD.
The action of streptozotocin on mammalian cells.

Streptozotocin and streptozotocin tetraacetate inhibit the incorporation of precursors into DNA more than into RNA or protein. However, several of the enzymes involved in DNA synthesis (such as deoxycytidine kinase, thymidine kinase, DNA polymerase, and thymidylate synthetase) were only moderately inhibited at very high levels of streptozotocin. Streptozotocin inhibited progress of cells into mitosis and cell proliferation (“cell kill”) at a much lower level than that needed for inhibition of DNA synthesis. The drug-induced block of the progress of cells into mitosis occurred in G2. The cell kill data suggest that streptozotocin affects cells in all phases of the cell cycle.
Relevance Judgments for Web Services Retrieval - A Methodology and Test Collection for SWS Discovery Evaluation

Semantic web services (SWS) promise to take service oriented computing to a new level by allowing to automatically locate and use functionality exposed as web services. At the core of SWS are solutions to the problem of SWS discovery, i.e., the problem of comparing semantic goal descriptions with semantic offer descriptions to determine services relevant to a given request. A plethora of different approaches to this problem have been proposed, but their comparative evaluation is challenging.While the evaluation setups from the information retrieval (IR) community provided a natural starting point to SWS discovery evaluation, the applicability of their assumptions have not been sufficiently discussed so far. This paper discusses the differences between traditional IR and SWS discovery and the resulting fundamental problems. It proposes a methodology and experimental setup for SWS discovery evaluation that addresses these problems. An initial realistic service test collection is presented and issues related to the central notion of relevance in the context of service discovery are examined. In particular the consistency of relevance judgments using three different relevance scales is experimentally investigated and the consequences on the evaluation methodology are discussed.
Value Creation in the Cloud: Understanding Business Model Factors Affecting Value of Cloud Computing

Despite the rapid emergence of cloud technology, its prevalence and accessibility to all types of organizations and its potential to predominantly shift competitive landscapes by providing a new platform for creating and delivering business value, empirical research on the business value of cloud computing, and in particular how service providers create value for their customers, is quite limited. Of what little research exists to date, most focuses on technical issues. This paper aims to address this research gap by exploring how cloud technologies are used to create business value and identifying factors that may impact the realization of business value. Drawing on four case studies that considers the perspective of both service provider and customer, this study takes a more comprehensive perspective of the business model concept in examining business value than has been done to date in the cloud domain, thus contributing to the limited literature surrounding the area.
Targeting Core Sampling with Machine Learning: Case Study from the Springbok Sandstone, Surat Basin

We show how clustering algorithms can ensure that the core intervals that are pertinent to specific objectives of a sampling campaign are actually sampled. We also show how clusters can be validated prior to sampling with auxiliary data not used for the cluster analysis. We chose to target our core sampling to ensure that both clay poor and clay rich intervals of the Springbok Sandstone are sampled. The clay phases in the Jurassic Springbok Sandstone generally do not exhibit a prominent gamma ray signature and are therefore poorly defined in wireline logs. Similar, hydrogeological properties of the Springbok Sandstone are not well defined through wireline logs. This introduces uncertainty to groundwater models of the Springbok Sandstone. Hence, a better understanding of the clay distribution is thought to be a key to improve the definition of the hydrogeological properties of the Springbok Sandstone. We applied our sample targeting approach to five study wells from the Surat Basin in Queensland. We tailored the application of the cluster analysis to our working hypothesis that the variability of hydrogeological properties of the Springbok Sandstone is controlled by the presence and type of clays, rather than compaction. This informed our choice of wireline logs to include in the clustering (nuclear logs) and of logs to be used for control purpose (resistivity logs, spontaneous potential). We show that identification of five clusters was the most useful number towards our sampling objectives. This allowed for example to exclude coal and siderite layers from sampling for clay analysis and to focus on the differentiation of the clastic sediments in the formation. Further, we show that certain clusters correlate with resistivity and spontaneous potential log signatures. The correlation between the categorical clusters based on nuclear logs and continuous wireline logs not used in the cluster analysis allowed us to interpret the meaning of the clusters in the context of our project and target our sampling to ensure that all clusters are represented in our sample set.
Co-operating STAT5 and AKT signaling pathways in chronic myeloid leukemia and mastocytosis: possible new targets of therapy

Chronic myeloid leukemia and systemic mastocytosis are myeloid neoplasms sharing a number of pathogenetic and clinical features. In both conditions, an aberrantly activated oncoprotein with tyrosine kinase activity, namely BCR-ABL1 in chronic myeloid leukemia, and mutant KIT, mostly KIT D816V, in systemic mastocytosis, is key to disease evolution. The appreciation of the role of such tyrosine kinases in these diseases has led to the development of improved therapies with tyrosine kinase-targeted inhibitors. However, most drugs, including new KIT D816V-blocking agents, have failed to achieve long-lasting remissions in advanced systemic mastocytosis, and there is a similar problem in chronic myeloid leukemia, where imatinib-resistant patients sometimes fail to achieve remission, even with second- or third-line BCR-ABL1 specific tyrosine kinase inhibitors. During disease progression, additional signaling pathways become activated in neoplastic cells, but most converge into major downstream networks. Among these, the AKT and STAT5 pathways appear most critical and may result in drug-resistant chronic myeloid leukemia and systemic mastocytosis. Inhibition of phosphorylation of these targets has proven their crucial role in disease-evolution in both malignancies. Together, these observations suggest that STAT5 and AKT are key drivers of oncogenesis in drug-resistant forms of the diseases, and that targeting STAT5 and AKT might be an interesting approach in these malignancies. The present article provides an overview of our current knowledge about the critical role of AKT and STAT5 in the pathophysiology of chronic myeloid leukemia and systemic mastocytosis and on their potential value as therapeutic targets in these neoplasms.