Miracle-dz/UniFAR-FTUs huggingface dataset:
Institutional Knowledge at Singapore Management University PrivateDroid: Private Browsing Mode for Android

—Private browsing mode is a privacy feature adopted by many modern computer browsers. With the increased use of mobile devices and escalating privacy concerns for mobile users, browser applications on mobile devices have also started incorporating private browsing mode. Even so, the use of private browsing mode is limited to the browser applications and cannot be applied directly on other third-party mobile applications. In this paper, we propose PrivateDroid, which provides a private browsing mode for third-party applications on the Android plat- form. First, we discuss three possible approaches of implementing mobile private browsing mode: code instrumentation, an extra sandbox, and a Linux container approach. Then, we implement PrivateDroid, which creates a new sandbox for every application in private mode and destroys the sandbox once the application is closed. After that, we evaluate usability, efﬁciency and security of the system with 25 popular Android applications. Our design considerations, implementation details, evaluation results, and challenges lay a foundation of private browsing mode on mobile platforms.
What Do We Know About Our Future Selves ?

Copyright Information: All rights reserved unless otherwise indicated. Contact the author or original publisher for any necessary permissions. eScholarship is not the copyright owner for deposited works. Learn more at http://www.escholarship. org/help_copyright. html#reuse What Do We Know About Our Future Selves? Essays on Sophistication and Prediction.
An Evolutionary Game Theory Explanation of ARCH E⁄ects

ARCH/GARCH models have been widely used to examine (cid:133)nancial markets data, but formal explanations for the sources of conditional volatility are lacking. This paper demonstrates the existence of GARCH e⁄ects similar to those found in asset returns, in a standard asset pricing model with heterogeneous agents. Evolutionary game theory describes how agents endogenously switch between di⁄erent forecasting strategies based on past forecast errors. We show conditions under which agents agree on the fundamental forecast and those where agents adopt strategies that use extraneous information. Divergence from agreement on fundamentals could lead to periods of high volatility in prices and returns. Econometric tests of simulated data show the existence of GARCH e⁄ects, we examine the impact of changes in the model parameters. The goal of volatility analysis must ultimately be to explain the causes of volatility. While time series structure is valuable for forecasting, it does not satisfy our need to explain volatility. Thus far, attempts to (cid:133)nd the ultimate cause of volatility are not very satisfactory. Few models are capable of generating the type of ARCH one sees in the data. Most of these studies are best summarized with the adage that "to get GARCH you need to begin with GARCH. "
Novel Approaches for Drug Targeting using Virosomes

Virosomes are an innovative, validated and versatile adjuvant and carrier system with prospective applications for novel prophylactic and therapeutic vaccines against various diseases. There are reconstituted lipid vesicles equipped with viral glycoproteins are investigated as experimental vaccines for mucosal as well as systemic administration. Human parainfluenza viruses are extensively investigated and affinity-purified vesicles of hemagglutinin-neuraminidase (HN) and fusion (F) glycoproteins of human parainfluenza virus type 3 (P13 virus) were used to investigate their role in the induction of a protective immune response following immunization of hamsters. Results assured a complete resistance to challenged infection in case of intranasal administration on the other extreme partial protection was offered after subcutaneous immunization. Virosomes are advantageous as their surface glycoproteines possess high affinity for receptors on mucosal surfaces such as the respiratory tract thus providing a mechanism for effective liaison of antigens to mucosal surfaces. This review focuses on novel approaches for immunization using virosomes as a carrier system.
Modelling γ -ray-axion-like particle oscillations in turbulent magnetic ﬁelds: relevance for observa-tions with Cherenkov telescopes

Axion-like particles (ALPs) are a common prediction of certain theories beyond the Standard Model and couple to photons in the presence of external magnetic ﬁelds. As a consequence, photon-ALP conversion could lead to an enhancement of the ﬂux of extragalactic γ -ray sources that is otherwise attenuated due to the interactions with background radiation ﬁelds. The magnetic ﬁelds traversed by the γ rays are often turbulent and fre-quently modelled with a simple domain-like structure. Given a maximum mixing between photons and ALPs, we show that in such models realisations of the ﬁelds exist for which the photon-ALP oscillation probability vanishes. This behaviour does not occur in more sophisticated magnetic-ﬁeld models.
A Field Study: The Perception of Edge Computing for Production Industry

—The progressing digitalization of factories coincides with a growing amount of raw data being available in order to create valuable, data driven application. The Edge Computing paradigm is one of the key enablers to realize beneﬁcial solutions, since it helps overcome obstacles such as capacity and latency restrictions or data privacy and protection requirements. However, realized industrial applications of Edge Computing Applications are rather limited as of today. Therefore, as part of the Factory Automation Edge Computing Operating System Reference Implementation (FAR-EDGE) project, a series of expert interviews covering viewpoints from both industry and academia was conducted in order to gain deeper insight on limiting factors and development challenges and expectations. The results are presented in this paper forming a brief snapshot of the current perception of Edge Computing contributing to the creation of an overall understanding of the needs of the manufacturing industry.
Regulation of Tumor Necrosis Factor Alpha Transcription in Macrophages: Involvement of Four KB-Like Motifs and of Constitutive and Inducible Forms of NF-KB

This study characterizes the interaction of murine macrophage nuclear proteins with the tumor necrosis factor alpha (TNF-a) promoter. Gel retardation and methylation interference assays showed that stimulation of TNF-aL gene transcription in peritoneal exudate macrophages was accompanied by induction of DNA- binding proteins that recognized with different affinities four elements related to the KB consensus motif and a Y-box motif. We suggest that the basal level of TNF-a expression in macrophages is due to the binding of a constitutive form of NF-KB, present at low levels in nuclei from resting thioglycolate exudate peritoneal macrophages, to some if not all of the KB motifs; we postulate that this constitutive form contains only the 50-kilodalton (kDa) DNA-binding protein subunits of NF-KB, not the 65-kDa protein subunits (P. Baeuerle and D. Baltimore, Genes Dev. 3:1689-1698, 1989). Agents such as glucocorticoids, which decrease TNF-c transcription, diminished the basal level of nuclear NF-KB. Stimulation of TNF-a transcription in macrophages by lipopolysaccharide, gamma interferon, or cycloheximide led to an increased content of nuclear NF-KB. This induced factor represents a different form of NF-KB, since it generated protein-DNA
A Review of Culturally Relevant Pedagogy for Students of Color in Mathematics

In mathematics, there is a significant body of literature that explicates how Students of Color have consistently underperform relative to their White counterparts. There is a need to understand how the performance disparities emerged and what instructional method could assist Students of Color in mathematics learning. This review particularly examines how the prevalence of Whiteness in mathematics education can create educational barriers for Students of Colorand how culturally relevant pedagogycan reduce those barriers. The review begins by examiningWhiteness and its resulting barriers for Students of Color in mathematics.Then the review examinesthe potential of culturally relevant pedagogy to address theeducational barriers. Whiteness and its Resulting Barriers for Students of Color in Mathematics.
Attribute-based Encryption for Cloud Computing Access Control

Attribute-based encryption (ABE) for cloud computing access control is reviewed in this article. A taxonomy and comprehensive assessment criteria of ABE are first proposed. In the taxonomy, ABE schemes are assorted into key-policy ABE (KP-ABE) schemes, ciphertext-policy ABE (CP-ABE) schemes, anti-quantum ABE schemes, and generic constructions. In accordance with cryptographically functional features, CP-ABE is further divided into nine subcategories with regard to basic functionality, revocation, accountability, policy hiding, policy updating, multi-authority, hierarchy, offline computation, and outsourced computation. In addition, a systematical methodology for discussing and comparing existing ABE schemes is proposed. For KP-ABE and each type of CP-ABE, the corresponding access control scenario is presented and explained by concrete examples. Specifically, the syntax of ABE is given followed by the adversarial model and security goals. ABE schemes are discussed according to the design strategies and special features and are compared in the light of the proposed assessment criteria with respect to security and performance. Compared to related state-of-the-art survey papers, this article not only provides a broader 12 categories of ABE schemes, but also makes a more comprehensive and holistic comparison. Finally, a number of open research challenges in ABE are pointed out.
University of Birmingham Equivalent circuit for double annular aperture frequency selective surfaces

—In this work a double annular aperture frequency selective surface is analyzed from an equivalent circuit perspective. A comparison between full wave numerical solution and the proposed equivalent circuit results is provided for different examples. A very good agreement is obtained endowing the equivalent circuit with great potential as a very powerful and efﬁcient design tool for advanced space ﬁlters
A Re-ranking Strategy for Web Search Personalization

— Work of relevant information retrieval from search engines is a tedious task in current scenario as there is huge amount of information present on the web. Web Search personalization is the process to filter search results to a particular user based on user’s interest and preferences. The judgment to make the search results relevant depends on user and the context of search. So, to judge the user and search context we build a user profile that will be very helpful in obtaining most relevant results . Also we maintain Query log that will help us to solve the ambiguity problem with the queries. Ambiguity refers to the missing weights of certain words in the user profile. In this paper we present an effective filtering strategy that compensates for the ambiguity in a user’s profile, by applying re-ranking algorithm. After evaluation the results are effective and show an improvement in precision over approaches that use only a user’s profile.
Differential growth response and zinc utilization efficiency of wheat genotypes in chelator buffered nutrient solution

Zinc (Zn) deficiency is a common micronutrient deficiency in arid and semi arid regions of the world. A solution culture study was conducted to categorize twelve wheat genotypes according to their Zn utilization efficiency. The wheat genotypes were grown in a half strength Johnson’s modified nutrient solution supplied with adequate (2 µM) and deficient (0.2 µM) Zn level. There was a significant effect of Zn level and genotypes on biomass production and Zn concentration. Wheat genotype Sehar-06 produced maximum shoot biomass under both adequate and deficient Zn condition and it was minimum in Vatan. Sehar-06 maintained higher Zn contents at deficient Zn level compared to other genotypes. Genotypes categorized according to their Zn utilization efficiency at deficient Zn supply fell into five categories. Sehar-06 and Auqab-2000 were categorized as HDM-HE (high dry matter with high Zn utilization efficiency). Most of the genotypes were categorized as MDM-ME (medium dry matter with medium Zn utilization efficiency) category. Genotypes with better growth performance and Zn utilization efficiency such as Sehar-06 and Auqab-2000 can be recommended for Zn deficient soils and for breeding purposes.
Traditional Banking at Digital Age Are they keeping up with changes in consumer behavior? Millennials’ perception in the Portuguese Market

v In a world of capitalism, competitiveness is definitely the market driven of an entire economy. Companies must to fairly compete against each other so we can have more production, best products/services quality, and above of all, customer satisfaction. This dissertation aims to analyze if the Traditional Banks are keeping up the race of digitalization against Digital Banks, to compare the customer value provided by these two type of Banks and identify which kind of bank provides more value to the Millennials Generation. After an extensive literature review of papers about traditional banks, Fintechs/Digital Banks and customer-based measurement methods we formulated our 8 main hypotheses. To test the validation of research question, an online survey was released and specific statistical test performed. In the end, the results of statistical T-test proved that Digital Banks provides more value to Millennials generation as the averages in almost all dimensions scored higher for respondents of Digital Banks comparing to responses from customers of Traditional Banks. This study provides solid implications for Traditional Banks Managers and Marketers as the studied dimensions can be useful to improve banking experience and retain Millennials. It also helps to enrich the existent literature of banking experience in the Portuguese Market as well as to provide some tools for its measurement.
Title: Time Between Viral Loads for People with HIV during the COVID-19 Pandemic

pandemic restrictions. restrictions resolved delays for but not suppressed patients. Delays did not significantly increase proportion of non-suppressed Abstract Background: During the COVID-19 pandemic, patients experienced significant care disruptions, including lab monitoring. We investigated changes in the time between viral load (VL) checks for people with HIV associated with the pandemic. Methods: This was an observational analysis of VLs of people with HIV in routine care at a large subspecialty clinic. At pandemic onset, the clinic temporarily closed its onsite laboratory. The exposure was time period (time-varying): pre-pandemic (January 1 st 2019-March 15 th , 2020); pandemic lab-closed (March 16 th -July 12 th , 2020); and pandemic lab-open (July 13 th -December 31 st , 2020). We estimated time from an index VL to a subsequent VL, stratified by whether the index VL was suppressed (≤200 copies/mL). We also calculated cumulative incidence of a non-suppressed VL following a suppressed index VL, and of re-suppression following a loss of viral suppression. Results: Compared to pre-pandemic, hazard ratios for next VL check were: 0.34 (95% CI: 0.30, 0.37, lab-closed) and 0.73 (CI: 0.68, 0.78, lab-open) for suppressed patients; 0.56 (CI: 0.42, 0.79, lab-closed) and 0.92 (95% CI: 0.76, 1.10, lab-open) for non-suppressed patients. The 12-month cumulative incidence of loss of suppression was the same in the pandemic lab-open (4%) and pre-pandemic period (4%). The hazard of re-suppression following loss of suppression was lower during the pandemic lab-open versus the pre-pandemic period (hazard ratio: 0.68, 95% CI: 0.50, 0.92). Conclusions: Early pandemic restrictions and lab closure significantly delayed VL monitoring. Once the lab re-opened, non-suppressed patients resumed normal monitoring. Suppressed patients still had a delay, but no significant loss of suppression.
High Performance Random Forests

— Because of the property of data fragmentation in decision trees that makes them more dependent on available data sets, random forests were invented to cope with the data fragmentation. Random forests generates their own decision trees with two parameters, the number of attributes that can be the candidates of split in each subtree and the number of trees in the forests. There are known recommended default parameters. But, the default parameters may not work well always. This paper investigates what kind of property of data sets may not be good for the default parameters, especially the first parameter of the number of attributes that can be the candidates of the split, and propose a guide line.
Effect of New Suggested Ferroresonance Limiter on the Stability Domain of Chaotic Ferroresonance in the Power Tran sformer with Linear Core Model

This Paper studies the effect of new suggested ferroresonance limiter on controlling ferroresonance oscillations in the power transformer. It is expected that this limiter generally can control the ferroresonance. For studying these phenomena, at first ferroresonance is introduced and a general modeling approach is given. A simple case of ferroresonance in a three phase transformer is used to illustrate these phenomena. Then, effect of new suggested ferroresonance limiter on the onset of chaotic ferroresonance and control of these oscillations in a power transformer including linear core losses is studied. Simulation is done on a three phase power transformer while one of its phases is opened, and effect of varying input voltage on occurring ferroresonance overvoltage is studied. Results show that connecting the ferroresonance limiter to the transformer exhibits a great controlling effect on the ferroresonance overvoltage. Phase plane diagram, FFT analysis along with bifurcation diagrams are also presented. Significant effect on occurring chaotic ferroresonance, the range of parameter values that may lead to overvoltage and magnitude of ferroresonance overvoltage is obtained, showed and tabulated.
Evaluation of using potassium and putressine (1, 4 diaminobutane dihydrochloride) to alleviatethe negative effects on sorghum plants (Sorghum bicolor L) irrigated with different irrigation water.

A field experiment was conducted in the north western part of Kom Osheem district, Tamiya Town, El-Fayoum Governorate, Egypt to study the possibility of using potassium foliar spray of (K 2 SO 4 ) at rate of 1000 L∕ ha -1 twice after one month from sowing and at one month later and putressine (1,4 Diaminobutane dihydrochloride) foliar spray of 10 u M solution, The putressine was spraied in two equal doses, one dose after one month from the sorghum sowing and the second dose one month later at rate of 1000 L∕ ha -1 . , to mitigate the negative effect of irrigation with mixed water and drainage water on sorghum plants. Irrigation with the Nile fresh water was used for comparison. Soil pH, EC, soluble cations both soluble sulphate and chloride and SAR significantly increased due to using mixed or drainage water. Higher values of plant height, dry weight/plant, weight of grains/panicle, 1000-grain weight and both grain and stalk yields, as will as N, P, K, Ca and K/Na ratio in sorghum leaves and grains were recorded for the plants irrigated with the Nile fresh water or supplied with potassium and/or putressine. Plants irrigated with drainage water without potassium or putressine recorded the lowest values, except for the 1000-grain weight which was not affected by putressine. Effect of putressine was more pronounced under mixed or drainage water. The treatment of using mixed water + potassium + putressine resulted in sorghum yield almost equal to that irrigated with the Nile fresh water. Foliar spraying with potassium and putressine might mitigate the adverse effect of using saline water for irrigation.
Determination of clothing heat transfer coefficients for use in the iHVAC system

Introduction As standards of comfortable transportation is improving rapidly throughout the last years, automotive companies are more focused on thermal comfort of the passengers to differ themselves from the competition. Another valid reason for improving thermal comfort in car cabins is the large energy consumption of the current HVAC systems, which cause higher fuel consumption for combustion engines and reducing the range of hybrid and electrical vehicles. The iHVAC (innovative Heating Ventilation and Air‐conditioning system) is one of the systems, which evaluates car ́s thermal environment and predicts human ́s thermal sensation with respect to spatial asymmetry. This system works on the principle of equivalent temperature and comfort zone diagrams[1]. One of the key input data for successful thermal environment prediction by iHVAC system is the information about occupant ́s clothing. The aim of this study was to measure the values for typical clothing ensembles for the use in the iHVAC system and to test repeatability of the measurement method. As it is indicated in EN ISO 14505, the heat transfer coefficients are dependent on the ambient temperatures and the last part of the study is to verify whether measurements in multiple ambient temperatures are needed to obtain precise values.
Chaperone stress 70 protein (STCH) binds and regulates two acid/base transporters NBCe1-B and NHE1 *

Background: Regulation of intracellular pH is critical for cellular homeostasis. Results: Stress 70 protein chaperone (STCH) interacts with pH regulating transporters NBCe1B and NHE1 and modulates their functional expression. Conclusion: STCH chaperone dynamically regulates intracellular pH through site-specific interactions with ion transporters. Significance: These novel STCH interactions provide a mechanism for intracellular pH regulation in response to homeostatic stress.
Vision-based Impedance Control of a 7-DOF Robotic Manipulator for Pick-and-Place Tasks in Grasping Fruits

— A vision-based impedance control method is applied to a 7-degree-of-freedom (7-DOF) Franka Emika (FE) Panda robotic manipulator to complete pick-and-place tasks with human-like grasping of fruits. The interfaces between different hardware and the controller are developed using robotic operating system (ROS). You-Only-Look-Once (YOLOv5) object detection algorithm is trained for fruits and employed for capturing the location of the targeted objects. A qb-SoftHand robotic hand is used as the end-effector for the grasping tasks. By integrating these components together through ROS, the FE Panda robot successfully achieves autonomous human-like pick-and-place tasks as shown in the experimental results.
Harmonic Compensation Optimization for Multiple Parallel Distributed Generators

The interest in distributed generators (DGs), especially those associated with renewable energies, has increased in recent years. The number of functionalities that their commonly associated voltage source inverters (VSIs) can deal with is rising, harmonic currents compensation being one of them. VSI control is in charge of accomplishing the different capabilities, and it must be done without exceeding the limited and variable dc voltage margin, if undesirable effects want to be avoided. If limitations are reached, capabilities will be reduced in order to remain within the limitations. At the same time, as the number of DGs is also increasing, when capabilities are not able to be coped with exclusively one VSI, the cooperation among VSIs appears as a solution. A key point is to establish a strategy in this kind of topology when one of the VSI is brought to its limits. In this paper, a new strategy is proposed, where even under limited situation VSIs always try to inject the maximum power extracted from the DG and achieve the harmonic compensation (multifrequency) by cooperation among the different parallel VSIs. Newest multifrequency saturation strategies are studied, modified, and applied to cooperative applications. Simulations, hardware in the loop (HiL), and experimental results are included and compared.