Miracle-dz/UniFAR-FTUs huggingface dataset:
Field Plate in All-GaN Cascode Heterojunction Field-Effect

— Different source field plate connections are compared for the all-GaN integrated cascode device to address the capacitance matching and turn-off controllability issues reported in the conventional GaN plus Si cascode. Experimental results suggest that the cascode device with a field plate connected to the source terminal can significantly suppress the off-state internode voltage, leading to minimized capacitive energy loss and reduced overvoltage stress at the internode. This is attributed to the reduced ratio of the drain-source capacitance of the depletion mode cascode part to the total capacitance at the cascode internode. An additional field plate on the E-mode cascode part is proposed to further suppress the off-state internode voltage and benefit the device. Cascode devices with the source field plate connecting to the enhancement mode gate have an improved switching controllability via gate resistance during turn-off and hence enhanced dv/dt immunity in the drain loop.
Institutional Knowledge at Singapore Management University Mining Revenue-Maximizing Bundling Configuration

With greater prevalence of social media, there is an increasing amount of user-generated data revealing consumer preferences for various products and services. Businesses seek to harness this wealth of data to improve their marketing strategies. Bundling, or selling two or more items for one price is a highly-practiced marketing strategy. In this pa-per, we address the bundle conﬁguration problem from the data-driven perspective. Given a set of items in a seller’s inventory, we seek to determine which items should belong to which bundle so as to maximize the total revenue, by mining consumer preferences data. We show that this problem is NP-hard when bundles are allowed to contain more than two items. Therefore, we describe an optimal solution for bundle sizes up to two items, and propose two heuristic solutions for bundles of any larger size. We investigate the eﬀectiveness and the eﬃciency of the proposed algorithms through experimentations on real-life rating-based preferences data.
STEM CELL TRANSPLANTATION AS CONSOLIDATION THERAPY FOR CHILDREN IN FIRST-REMISSION AML: A Single-Center Report

(cid:1) A large number of patients affected by acute myeloid leukemia (AML) achieve complete remission following induction chemotherapy based on high-dose aracytin and anthracyclines. However, a postremissionconsolidationtreatmentappearstobeessentialtomaintaintheremissionstatus.SixteenpatientswithnewlydiagnosedAMLreceivedinductionchemotherapyaccordingtotheAIEOPLAM92P/Modprotocol.AllpatientswereHLA-typed,andifnodonorwasidentiﬁedwithinthefam-ily,patientsunderwentautologousstemcelltransplantation(autoSCT)withmafosfamide-purgedbonemarrow.Patientswithveryhigh-riskAML(cytogeneticswitht(9;22),hyperleukocytosis(540 × 10 9 /L), and AML-M7 with trilineage myelodysplasia) underwent unrelated donor transplantation. One patient relapsed before autoSCT. Eleven patients underwent autoSCT with purged bone marrow, 3 patients underwent unrelated donor transplantation (UD), and 1 patient underwent HLA-identical, matched familiar donor transplantation (MFD). All patients achieved complete remission following one course. No treatment-related deaths occurred during ﬁrst-line treatment. The median interval between diagnosis and transplant was 175 days (129–277). Three patients relapsed following autoSCT; none relapsed after alloSCT. Taking stem cell transplantation as the starting point, overall survival was 93%, disease-free survival (according to the chosen treatment) was 80%, the relapse rate was 20%, and transplant-related mortality was 0%.
THE ACCURACY OF THESE TESTS TO PREDICT INDUCED FIBROSIS IN HCV PATIENTS Tests To Predict Induced

: Aim : The exact disposition of hepatic fibrosis becomes the medical necessity to evaluate anticipation and obtain results for cases of hepatitis C infection. Non-invasive methods, based on standard and minimally invasive studies to study hepatic fibrosis, have been applied to increase the plausibility of medical application in daily repetition; the purpose of the research is to assess the accuracy of these tests to predict induced fibrosis in HCV patients. Materials and methods: Our current research was conducted at the Jinnah Hospital in Lahore from January 2018 to November 2019. This study is a comfort study in which 96 HCV-infected patients were followed for 16 weeks throughout the antiviral treatment. Overall, respondents underwent a liver biopsy and, based on laboratory information, the qualities of the non-invasive strategies, APRI, FIB-4 and GPR, were determined to assess the accuracy of liver biopsy tests and viral genotypes. Results: APRI's agreement with liver biopsy in advanced fibrosis remained AUROC = 0.67 (95% CI 0.57-0.75). The GPR technique speaks with an AUROC = 0.59 (95% CI 0.48-0.76) for cutting edge fibrosis, while the FIB-4 speaks with an AUROC = 0.68 (95% CI 0.55-0.82) for cutting edge fibrosis. Considering the three tests used (p = 0.308), no critical distinction was found. In addition, we found only a factual distinction for GPR (p = 0.008) when evaluating tests related to viral genotypes, with a better accuracy for genotype 4-5. Conclusion: We discovered the relationship between viral genotypes and controlled fibrosis in association with GPR; however, the results showed low memory accuracy for all files studied in the current population.
University of Birmingham Podoplanin negatively regulates CD4+ effector T cell responses

reduced effector CD4 + T cell population in the CNS. Mice harboring a T cell–specific deletion of Pdpn developed exacerbated EAE, with increased accumulation of effector CD4 + T cells in the CNS. Transcriptional profiling of naturally occurring PDPN + effector T cells in the CNS revealed increased expression of other inhibitory receptors, such as Pd1 and Tim3 , and decreased expression of prosurvival factors, including Il7ra . Together, our data suggest that PDPN functions as an inhibitory molecule on T cells, thereby promoting tissue tolerance by limiting long-term survival and maintenance of CD4 + effector T cells in target organs. PDPN is coexpressed with other inhibitory cell surface receptors (TIM-3, PD-1) on T cells in the CNS, our studies suggest that PDPN is used to limit survival and quench pathogenicity of autoreactive effector T cells and thus inhibit autoimmunity.
Title : Microfluidics based manufacture of liposomes simultaneously entrapping hydrophilic 1 and lipophilic drugs. 2

25 Despite the substantial body of research investigating the use of liposomes, niosomes and 26 other bilayer vesicles for drug delivery, the translation of these systems into licensed products 27 remains limited. Indeed, recent shortages in the supply of liposomal products demonstrate 28 the need for new scalable production methods for liposomes. Therefore, the aim of our 29 research has been to consider the application of microfluidics in the manufacture of 30 liposomes containing either or both a water soluble and a lipid soluble drug to promote co- 31 delivery of drugs. For the first time, we demonstrate the entrapment of a hydrophilic and a 32 lipophilic drug (metformin and glipizide respectively) both individually and in combination 33 using a scalable microfluidics manufacturing system. In terms of the operating parameters, 34 the choice of solvents, lipid concentration and aqueous:solvent ratio all impact on liposome 35 size with vesicle diameter ranging from ~90 to 300 nm. In terms of drug loading, microfluidics 36 production promoted high loading within ~100 nm vesicles for both the water soluble drug 37 (20 - 25% of initial amount added) and the bilayer embedded drug (40 (cid:884) 42% of initial amount 38 added) with co-loading of the drugs making no impact on entrapment efficacy. However, co- 39 loading of glipizide and metformin within the same liposome formulation did impact on the 40 drug release profiles; in both instances the presence of both drugs in the one formulation 41 promoted faster (up to 2 fold) release compared to liposomes containing a single drug alone. 42 Overall, these results demonstrate the application of microfluidics to prepare liposomal 43 systems incorporating either or both an aqueous soluble drug and a bilayer loaded drug. 44
Study on Bangkok its Urban Heat Island effect and the Relationship with Electricity Consumption using Geoinformatics

The research aims to study the urban heat island in Bangkok using remote sensing and Geo-information sciences, to determine the relationship between the UHI phenomenon and energy consumption and establish an electricity conservation plan. In this study, we investigated electricity consumption, solar radiation intensity, climate data, land surface temperature data, and land cover change. The quantified LST obtained from satellite imagery is used to identify areas exposed to the UHI effect. The quantified data is validated through field and observed measurements. We also illustrate LST spatial distribution and subsequent land use land cover types related to high LST. The relationship between LST, the Normalized Difference Vegetation Index, and the Normalized Difference Built Index was analyzed. LST was measured and correlated with climate data from meteorological stations. The relationship between increased LST and energy consumption was illustrated through linear regression analysis. In the results, the energy consumption and UHI illustrate a positive relationship. Electricity consumption and LST have a high correlation of 70-90%. In the hope to mitigate the UHI effect, appropriate mitigation measures are needed to minimize its impact. Mitigation measures such as the reduction of electricity consumption by encouraging citizens to be more conscious of air conditioning use and private transportation use. Another mitigation measure is incorporating sustainable urban planning principles techniques into urban expansion such as increasing urban green spaces and the use of public transportation.
Effect of Biofloc Produced from Different Carbon Sources on Immune Response of Nile Tilapia ( Oreochromis niloticus )

Biofloc technology (BFT) has been considered as a microorganism management technique in aquaculture. Balancing the external carbon added to the system with the proper amount can eliminate the nitrogen waste by conversing it into the microorganism mass, biofloc, consisting of heterotrophic microorganisms, protozoa, planktons, and organic particles. It can provide natural food for aquatic animals as well as function as immunostimulant enhancing the animals’ innate immunity through pathogen-associated molecular patterns (PAMPs) recognizing system. As a result, biofloc fed aquatic animals are primed and more resistant against pathogen attack. There has been reported that different carbon sources could affect the types and amounts of microbes in biofloc and its immunostimulatory efficacy. This study aimed to establish the effect of different carbon sources (100% cassava starch, 50% cassava starch+50% molasses and 100% molasses) on immune response of Nile tilapia ( Oreochromis niloticus ), an economically important fish of Thailand. Blood parameters, including hematocrit and humoral responses in plasma and serum, were analyzed in tilapia at 1, 2, 3 and 7 days after fed with bioflocs for 7 days. The results showed that all bioflocs produced from different carbon sources could induce immunity by significantly increased blood parameters compared to the non-biofloc fed fish. The variation of response patterns and period of induction times were observed with different carbon sources used. However, all blood parameter levels decreased to the basal level of control fish after being boosted suggesting that the tested bioflocs may not affect the fish growth. These results showed a significance of carbon sources on biofloc production for immunostimulant development and its application in aquaculture.
Human DEAD Box Helicase 3 Couples I (cid:1) B Kinase ε to Interferon Regulatory Factor 3 Activation

The human DEAD box protein 3 (DDX3) has been implicated in different processes contributing to gene expression. Interest-ingly, DDX3 is required as an essential host factor for the replication of HIV and hepatitis C virus (HCV) and is therefore consid-ered a potential drug target. On the other hand, DDX3 interacts with I (cid:1) B kinase (cid:2) (IKK (cid:2) ) and TANK-binding kinase 1 (TBK1) and contributes to the induction of antiviral type I interferons (IFNs). However, the molecular mechanism by which DDX3 contributes to IFN induction remains unclear. Here we show that DDX3 mediates phosphorylation of interferon regulatory factor 3 (IRF3) by the kinase IKK (cid:2) . DDX3 directly interacts with IKK (cid:2) and enhances its autophosphorylation and activation. IKK (cid:2) then phosphorylates several serine residues in the N terminus of DDX3. Phosphorylation of DDX3 at serine 102 (S102) is required for recruitment of IRF3 to DDX3, facilitating its phosphorylation by IKK (cid:2) . Mutation of S102 to alanine disrupted the interaction between DDX3 and IRF3 but not that between DDX3 and IKK (cid:2) . The S102A mutation failed to enhance ifnb promoter activation, suggesting that the DDX3-IRF3 interaction is crucial for this effect. Our data implicates DDX3 as a scaffolding adaptor that directly facilitates phosphorylation of IRF3 by IKK (cid:2) . DDX3 might thus be involved in pathway-speciﬁc activation of IRF3.
On Node Replication Attack in Wireless Sensor Networks

WSNs (Wireless Sensor Networks) comprise a large number of small, inexpensive, low power and memory constrained sensing devices (called sensor nodes) that are densely deployed to measure a given physical phenomenon. Since WSNs are commonly deployed in a hostile and unattended environment, it is easy for an adversary to physically capture one or more legitimate sensor nodes, re-program and re-deploy them in the network. As a result, the adversary becomes able to deploy several identical copies of physically captured nodes in the network in order to perform illegitimate activities. This type of attack is referred to as Node Replication Attack or Clone Node Attack. By launching node replication attack, an adversary can easily get control on the network which consequently is the biggest threat to confidentiality, integrity and availability of data and services. Thus, detection and prevention of node replication attack in WSNs has become an active area of research and to date more than two dozen schemes have been proposed, which address this issue. In this paper, we present a comprehensive review, classification and comparative analysis of twenty five of these schemes which help to detect and/or prevent node replication attack in WSNs .
Energy Management Strategy for the Hybrid Energy Storage System of Pure Electric Vehicle Considering Trafﬁc Information

: The main challenge for the pure electric vehicles (PEVs) with a hybrid energy storage system (HESS), consisting of a battery pack and an ultra-capacitor pack, is to develop a real-time controller that can achieve a signiﬁcant adaptability to the real road. In this paper, a comprehensive controller considering the trafﬁc information is proposed, which is composed of an adaptive rule-based controller (main controller) and a fuzzy logic controller (auxiliary controller). Through analyzing the dynamic programming (DP) based power allocation of HESS, a general law for the power allocation of HESS is acquired and an adaptive rule-based controller is established. Then, to further enhance the real-time performance of the adaptive rule-based controller, trafﬁc information, which consists of the trafﬁc condition and road grade, is considered, and a novel method combining a K-means clustering algorithm and trafﬁc condition is proposed to predict the future trend of vehicle speed. On the basis of the obtained trafﬁc information, a fuzzy logic controller is constructed to provide the correction for the power allocation in the adaptive rule-based controller. Ultimately, the comparative simulations among the traditional rule-based controller, the adaptive rule-based controller, and the comprehensive controller are conducted, and the results indicate that the proposed adaptive rule-based controller reduces battery life loss by 3.76% and the state of change (SOC) consumption by 3.55% in comparison with the traditional rule-based controller. Furthermore, the comprehensive controller possesses the most excellent performance and reduces the battery life loss by 2.98% and the SOC consumption of the battery by 1.88%, when compared to the adaptive rule-based controller.
Variational mean-ﬂuctuation splitting and drift-ﬂuid models

After summarizing the variational approach to splitting mean ﬂow and ﬂuctuation kinetics in the standard Vlasov theory, the same method is applied to the drift-kinetic equation from Littlejohn’s theory of guiding-center motion. This process sheds a new light on drift-ordered ﬂuid (drift-ﬂuid) models, whose anisotropic pressure tensor is then considered in detail. In addition, current drift-ﬂuid models are completed by the insertion of magnetization terms ensuring momentum conservation. Magnetization currents are also shown to lead to challenging aspects when drift-ﬂuid models are coupled to Maxwell’s equations for the evolution of the electromagnetic ﬁeld. In order to overcome these diﬃculties, a simpliﬁed guiding-center theory is proposed along with its possible applications to hybrid kinetic-ﬂuid models.
ArticleHow Did Distribution Patterns of Particulate Matter Air Pollution (PM

Due to the suspension of traffic mobility and industrial activities during the COVID-19, particulate matter (PM) pollution has decreased in China. However, rarely have research studies discussed the spatiotemporal pattern of this change and related influencing factors at city-scale across the nation. In this research, the clustering patterns of the decline rates of PM2.5 and PM10 during the period from January 20 to April 8 in 2020, compared with the same period of 2019, were investigated using spatial autocorrelation analysis. Four meteorological factors and two socioeconomic factors, i.e., the decline of intra-city mobility intensity (dIMI) representing the effect of traffic mobility and the decline rates of the secondary industrial output values (drSIOV), were adopted in the regression analysis. Then, multi-scale geographically weighted regression (MGWR), a model allowing the particular processing scale for each independent variable, was applied for investigating the relationship between PM pollution reductions and influencing factors. For comparison, ordinary least square (OLS) regression and the classic geographically weighted regression (GWR) were also performed. The research found that there were 16% and 20% reduction of PM2.5 and PM10 concentration across China and significant PM pollution mitigation in central, east, and south regions of China. As for the regression analysis results, MGWR outperformed the other two models, with R2 of 0.711 and 0.732 for PM2.5 and PM10, respectively. The results of MGWR revealed that the two socioeconomic factors had more significant impacts than meteorological factors. It showed that the reduction of traffic mobility caused more relative declines of PM2.5 in east China (e.g., cities in Jiangsu), while it caused more relative declines of PM10 in central China (e.g., cities in Henan). The reduction of industrial operation had a strong relationship with the PM10 drop in northeast China. The results are crucial for understanding how the decline pattern of PM pollution varied spatially during the COVID-19 outbreak, and it also provides a good reference for air pollution control in the future.
Analysis and Automatic Classification of Phonation Modes in Singing

Analysis of expression in singing voice is gaining more importance as the current assessment systems fail to consider important resources in expressive singing, e.g. phonation modes. Phonation modes have been divided into four categories (breathy, pressed, neutral and flow) that correspond to levels of glottal adduction force. This thesis focuses on the analysis and automatic classification of phonation modes, and proposes a visual feedback system designed for singing voice assessment, vocal education and musicological analysis. We propose to use a wide range of audio descriptors in order to extract information from the audio signal and to perform feature selection for reducing the dimension of the feature set. A supervised classification approach is applied with making use of Multi-Layer Perceptrons (MLP). The hyperparameters of the model are optimized with cross validation on training subsets. The results of the evaluation of the obtained model outperform the state of the art methods. In order to generalize the feature analysis to avoid bias caused by having insufficient data we curated two new datasets for phonation modes research. Finally, the designed visual feedback system is tested with singing students and teachers to assess its usefulness for educational purposes.
Design of a 300 mK-14 T scanning tunneling microscopy system and characterization of quantum Hall systems with respect to Rashba spin splitting, exchange enhancement and Coulomb gap

This thesis consists of two main parts. The first part describes the design of an ultra-high vacuum system (UHV) for measurements with a scanning tunneling microscope (STM) at a base temperature of about 300 mK and in magnetic fields of up to 14 T. The system consists of two main UHV chambers for sample and STM tip preparations and a large cryostat with an inner single-shot helium-3 cooling stage, holding the home-built STM. Besides commercially obtained ion source, LEED/Auger system, and mass spectrometer, the available instruments for preparation include different sample heaters especially designed for this system. These instruments are shown in detail as well as the STM, which main features are a tip-exchange mechanism and a coarse sample positioning stage. Extensive care has been taken to prevent external vibrations from interfering with the measurements by placing the whole system inside of an anechoic room onto an air damping feet supported stainless steel frame, which resonance modes have been analyzed by finite element simulations beforehand. The second part of this thesis consists of the preparation and analysis of two-dimensional electron systems (2DESs) by scanning tunneling spectroscopy (STS). These 2DESs are prepared in UHV by cleavage of p-type InSb single crystals, producing clean (110) surfaces, and subsequent cesium adsorption onto theses surfaces inside of the pre-cooled STM. This surface doping induces an inversion layer 2DES at the surface that can be probed by STS, because only a coverage of about 1–2 % of a monolayer is necessary. Using a highly-doped crystal (NA = 1–2× 1024 m−3) the induced band bending confining the 2DES is steep, leading to a strong internal electric field perpendicular to the sample surface. Besides the standing wave patterns of twodimensional electrons and the quantum Hall transition that have been observed on similar sample systems before, this strong electric field allows an observation of the Rashba effect in the density of states. The band bending of another 2DES prepared in a low-doped crystal (NA = 1.1× 1021 m−3) is more flat and the 2DES does not exhibit the Rashba effect, but in turn it is fully decoupled from the bulk states of the crystal. This requires the electrons in the STS experiment to move through the two-dimensional layer to a side contact, leading to a magnetic field and current dependent spreading resistance due to the localization of the electrons in Landau states. The decoupled 2DES enables the observation of electron–electron interaction effects. As such,