Miracle-dz/UniFAR-FTUs huggingface dataset:
Application of Empirical Orthogonal Function on Geodetic Time-Series Data

Growing amount of geodetic data through sophisticated data collection techniques in recent times has led to substantial challenges in data analysis and interpretation. The empirical orthogonal function (EOF), commonly known as principal component analysis (PCA), is one of the dominant tools in analyzing coherent space-time dataset. The EOF method belongs to the family of factor analysis and has application in dimensionality reduction and pattern extraction, especially in the field of Geophysics, Atmospheric Sciences and Oceanography. This paper provides some basic formulation of the EOF technique with an emphasis on the step-by-step implementation to extract dominant modes from any time-series data. For instance, the EOF-based results show that the deformation pattern of the 2016, Mw 7.8, Kaikoura earthquake of New Zealand is in the North-East direction. A few variations of the conventional EOF method are also discussed.
Shining Light on the Dark Side of Personality

Learn which dark side of personality assessment to use and when Introduces different assessment tools Highlights the nuances between tests Presents the relevant psychometric properties Explores findings about human nature More about the book We encounter people who possess undesirable dark sides of personality at low levels in our day to day lives, whether it is the boss who acts like a jerk, a cheating partner, or a friend who rubs everyone up the wrong way. This volume explores the latest research on the assessment of the dark personality traits, including the dark triad of narcissism, Machiavellianism, and psychopathy, and more. The internationally renowned group of contributors provide a comprehensive, evidence-based overview of the personality traits currently being explored. Each chapter reviews two main topics. First, a particular measure used to study such traits is discussed. This section is geared to help the reader to understand how researchers in this area capture data on these traits and to best decide which instrument they want to use and when. Second, each chapter then details what the psychometric data on the test reveals about human nature, including topics such as sex differences, workplace behaviors, sexuality, and value systems. In this way, the contributors highlight how the convergence of research from various measures can provide a broad mosaic of information about people colloquially called psychopaths, narcissists, spiteful, Machiavellian, and sadists. This book is essential reading for anyone interested in test development and practitioners interested in the dark side personality traits.
Thiourea-Isocyanate-Based Covalent Organic Frameworks with Tunable Surface Charge and Surface Area for Methylene Blue and Methyl Orange Removal from Aqueous Media

A thiourea hexamethylene diisocyanate covalent organic framework (TH COF) was synthesized by adjusting the surface charge and surface area. The surface charge value of TH COF, −3.8 ± 0.5 mV, can be changed to −29.1 ± 0.4 mV by treatment with NaOH (dp-TH) and 17.1 ± 1.0 mV by treatment with HCl (p-TH). Additionally, the surface area of TH COF was 39.3 m2/g, whereas the surface area of dp-TH COF and p-TH COF structures were measured as 41.4 m2/g and 42.5 m2/g, respectively. However, the COF structure had a better adsorption capability with acid and base treatments, e.g., dp-TH COF absorbed 5.5 ± 0.3 mg/g methylene blue (MB) dye, and p-TH COF absorbed 25.9 ± 1.4 mg/g methyl orange (MO) dye from 100 mL 25 ppm aqueous dye solutions, thereby increasing the MB and MO absorption amounts of the TH COF structure. Furthermore, by calculating the distribution, selectivity, and relative selectivity coefficients, the absorption capacity order was determined as dp-TH > TH > p-TH COFs for the MB dye, whereas it was p-TH > TH > dp-TH COFs for the MO dye. Finally, the reusability of dp-TH COF for MB absorption and p-TH COF for MO absorption were investigated. After five repeated uses, dp-TH COF retained 64.6 ± 3.7% of its absorption ability, whereas p-TH COF preserved 79.7 ± 3.2% of its absorption ability relative to the initial absorption amount.
Giant Spin Fluctuations in Y0.97Sc0.03Mn2

Paramagnetic scattering using polarized neutrons has been measured on Y 0.97 Sc 0.03 Mn 2 which is a Pauli paramagnet with remarkable spin fluctuation effects. The wave vector dependence of scattering indicates a strong antiferromagnetic correlation. The energy analysis of the scattering has revealed that a substantial part of the scattering is caused by zero point fluctuations. The amplitude of thermally excited local spin fluctuations has been estimated as a function of temperature.
Transcriptome Profiling Identifies Candidate Genes Contributing to Male and Female Gamete Development in Synthetic Brassica Allohexaploids

Polyploidy plays a crucial role in plant evolution and speciation. The development of male and female gametes is essential to the reproductive capacity of polyploids, but their gene expression pattern has not been fully explored in newly established polyploids. The present study aimed to reveal a detailed atlas of gene expression for gamete development in newly synthetic Brassica allohexaploids that are not naturally existing species. Comparative transcriptome profiling between developing anthers (staged from meiosis to mature pollen) and ovules (staged from meiosis to mature embryo sac) was performed using RNA-Seq analysis. A total of 8676, 9775 and 4553 upregulated differentially expressed genes (DEGs) were identified for the development of both gametes, for male-only, and for female-only gamete development, respectively, in the synthetic Brassica allohexaploids. By combining gene ontology (GO) biological process analysis and data from the published literature, we identified 37 candidate genes for DNA double-strand break formation, synapsis and the crossover of homologous recombination during male and female meiosis and 51 candidate genes for tapetum development, sporopollenin biosynthesis and pollen wall development in male gamete development. Furthermore, 23 candidate genes for mitotic progression, nuclear positioning and cell specification and development were enriched in female gamete development. This study lays a good foundation for revealing the molecular regulation of genes related to male and female gamete development in Brassica allohexaploids and provides more resourceful genetic information on the reproductive biology of Brassica polyploid breeding.
Burned Angels: The Coming Wave of Minority Shareholder Oppression Claims in Venture Capital Start-up Companies

The venture capital industry has undergone dramatic and unprecedented change over the last decade. Relative to other areas of the economy, this may not seem especially material given the youth of the venture industry as a whole. The practice of venture capital investing as we know it today began only about sixty years ago,2 and not without serious reservations.3 Nevertheless, the recent growth figures are more than noteworthy. During the sixyear period from 1997 to 2003 alone, the number of venture funds actively investing jumped from 885 funds managing $64.6 billion to 1,984 funds managing $251.4 billion.4 Nearly $200 billion of venture capital was raised in the year 2000 alone.5 In short, the venture capital industry has grown up. The driver of this growth is plain. The technology bubble of the mid1990s catapulted many venture capitalists, and the entrepreneurs they supported, into positions of great wealth. From
Quantum Gates Simulator Based on DSP TI6711

Quantum theory has found a new field of application in the information and computation fields during recent years. We developed a Quantum Gate Simulator based on the Digital Signal Processor (DSP) DSP TI6711 using the Hamiltonian in the timedependent Schrödinger equation. The Hamiltonian describes the Quantum System by manipulating a Quantum Bit (QuBit) using unitary matrices. Gates simulated are conditional NOT operation, Controlled-NOT Gate, Multi-bit Controlled-NOT Gate or Toffoli gate, Rotation Gate or Hadamard transform and twiddle gate, all useful in quantum computation due to their inherently reversible characteristic. With the simulation process, we have obtained approximately 95% fidelity action of the gate on an arbitrary two and three QuBit input state. We have determined an average error probability bounded above by 0.07 ± 0.01.
Dipping Status, Ambulatory Blood Pressure Control, Cardiovascular Disease, and Kidney Disease Progression: A Multicenter Cohort Study of CKD.

RATIONALE & OBJECTIVES Ambulatory blood pressure (ABP) monitoring allows concurrent evaluation of BP control and nocturnal BP dipping status, both related to adverse outcomes. However, very few studies have assessed the prognostic role of combining information on dipping status and achieved ABP in patients with chronic kidney disease (CKD). STUDY DESIGN Prospective observational cohort study. SETTING & PARTICIPANTS 906 patients with hypertension and CKD attending one of three Italian nephrology clinics. EXPOSURE Four groups were defined by simultaneously classifying systolic ABP levels as being at goal (daytime SBP<135 and nighttime SBP<120 mmHg) or above goal, and the presence of nocturnal dipping (night/day SBP ratio <0.9 versus ≥0.9). OUTCOME The composite of time to end-stage kidney disease (ESKD) or eGFR decline ≥50%, and the composite of fatal and non-fatal cardiovascular events. ANALYTICAL APPROACH Multivariable Cox proportional hazards models were used to estimate risks of kidney disease progression and cardiovascular disease in the four exposure groups where nocturnal dipping with systolic ABP at goal was the reference. RESULTS Mean age was 63.8 years, 61% were males, 26.4% had diabetes; eGFR was 41.1±20.8 ml/min/1.73m2. The prevalence of the four groups was: nocturnal dipping with ABP at goal, 18.6%; no nocturnal dipping with ABP at goal, 20.5%; nocturnal dipping with ABP above goal, 11.8%; and no nocturnal dipping with ABP above goal, 49.1%. Among patients with ABP above goal, the risk of cardiovascular events was increased in the absence (HR: 2.79, 95% CI 1.64-4.75) and presence of nocturnal dipping (2.05, 1.10-3.84). The same held true for risk of kidney disease progression (HR: 2.40, 95% CI 1.58-3.65 and 2.11, 1.28-3.48 in the absence and presence of nocturnal dipping, respectively). Patients at ABP goal but who did not experience nocturnal dipping had an increased risk of cardiovascular endpoints (2.06, 1.15-3.68) and kidney disease progression events (HR:1.82, 95% CI 1.17-2.82). LIMITATIONS Only White patients were enrolled. Residual uncontrolled confounding. CONCLUSIONS Systolic ABP above goal or the absence of nocturnal dipping, regardless of ABP, were associated with higher risks of cardiovascular disease and kidney disease progression among patients with CKD.
Observing Seasonal Velocity Changes of Svalbard Glaciers using Differential Sar Interferometry (Dinsar) Technique

The Svalbard glacier ice velocities are mapped and studied the seasonal velocity changes using the 2020 year Sentinel 1A/1B C-band high temporal resolution data (6-days) with the Differential SAR Interferometry (DInSAR) technique. Melting of the glaciers makes it infeasible to measure the velocities of summer seasons using the interferometry technique. So we observed the seasonal velocity changes for the January/February (peak winter) and October months (i.e. post-ablation seasons). Although a few glaciers are moving fast in early winter, most of the glaciers are moving fast in late winter. Seasonal variations in water pressure engender changes in the ice velocity. Since the two pairs are separated for nearly eight months in the winter season, the longitudinal stress gradients could be the reasons for seasonal velocity changes.
Compact reconfigurable bandpass filter with wide frequency tuning range

ABSTRACT A compact reconfigurable bandpass filter with wide tuning range is proposed in this letter. The reconfigurable function is realized by utilizing two varactor diodes at the end of the bandpass filter. Instead of using the coupling gap to create the desired coupling coefficients, a high characteristic impedance line is applied. A compact reconfigurable filter is designed, fabricated and measured. The measured tuning frequency ranges from 0.38 GHz to 0.96 GHz, which is about 86.6% of the central frequency. The measured insertion loss of the proposed reconfigurable filter is less than 2.5 dB, while the measured return loss is greater than 11 dB.
Developing a Trustworthy AI culture in Scientiﬁc Research

The development of a Trustworthy AI culture among researchers and students in the AI ﬁeld is a major challenges for universities. Researchers are the main actors in stimulating AI technological progress, but they often lack of support, guidance and education regarding all the appropriate measures that should be taken in order to develop trustworthy AI systems. More often than not, ethical, privacy, and legal compliance is regarded as a mere bureaucratic burden that makes their work more diﬃcult, as shown in the literature (Peloquin et al., 2020). Scientiﬁc research beneﬁts from some partial legal exemptions, but researchers involved in the development of AI systems still must comply with many applicable laws and regulations 1 , such as GDPR, ePrivacy Directive, civil liability rules, contractual law, intellectual property law, and, soon, also new regulations such as the so called “AI Act”. However, exemptions do not apply when the research output is commercially exploited, and that represents a challenge for technical universities strictly connected to industry. In fact, it is very common that researchers perform analysis on behalf of (or together with) other entities, such as companies, hospitals, NGOs, and Public Administration bodies. This means that for researchers it is often very diﬃcult to understand where the line of the exemption applicability is drawn and how to perform the appropriate compliance when developing new AI tools. It is important to note that the major legal issues are not triggered by a speciﬁc AI technique but instead by its concrete consequences on humans. Impact of AI systems on individual rights must be thoughtfully analyzed and explored from a legal and ethical point of view, because such systems can lead to negative consequences on citizens (for example, the lack of a suﬃcient explanation of their eﬀects) especially when they require the use of personal data.
BLOCKCHAIN TECHNOLOGY AS AN INFRASTRUCTURE: A REVIEW

— Blockchain technology is generating a lot of buzz around the world. If the results of staff and analyst surveys become more extensive, different industries and use cases found can benefit from the adoption of Blockchain. However, the emphasis has been on money rather than on the fundamentals of blockchain technology, such as peer-to-peer networks, encryption, and consensus methods. Despite early reservations about the technology, governments and large companies have recently attempted to implement and expand it in a range of applications, ranging from the banking, social, and legal sectors to architecture, manufacturing, and procurement networks. Given the size, diversity, and sophistication of the mechanisms involved in delivering a wide range of public services, India's governance poses particular challenges. Blockchain technology has the ability to completely transform government, industry, and citizen relationships in ways that were unimaginable just a decade ago. Our paper aims to illustrate the particular problems that have been encountered since their execution, as well as usage cases that the government and companies should investigate.
QUINSERTION: A HYBRID SORTING TECHNIQUE

— Sorting is the basic problem in computer science. In this we have to rearrange data like numerical or alphabetical either in ascending or in descending order. There are many sorting algorithms in literature like Merge sort, Heap sort, Quick sort, Insertion sort, Smooth sort and many more. There is a drawback in quick sort that its complexity is O(n 2 ) when data is already in sorted manner. To overcome this problem we are introducing an algorithm called Quinsertion sort which is combination of quick sort and insertion sort.
Let me decide: The importance of user autonomy in accepting online recommendations

The ubiquity of artificial intelligence (AI) algorithms has increased interest in the willingness of online users to accept the recommendations generated by recommendation system (RSs). The present study advances the discourse on how to facilitate the adoption and acceptance of such algorithms and systems by emphasizing the importance of user autonomy. As a first step, the hypothesis that user autonomy increases recommendation acceptance was tested in a controlled online experiment, in which we varied the number of recommendations presented to the user. A total of 240 participants used an online website, specifically developed for this study, to describe their vacation preferences and then chose their preferred vacation. Results show that users are more likely to accept recommendations when more recommendations are presented, highlighting the importance of user autonomy to the acceptance of RS and AI, while informing vendors about ways to tweak their algorithms to increase user compliance.
A Longitudinal Study of the Gettr Social Network

This paper presents the ﬁrst data-driven analysis of Gettr, a new social network platform launched by former US President Donald Trump’s team on July of 2021. Among other things, we ﬁnd that users on the platform heavily discuss societal issues like covid, and politics, with a focus on the Trump campaign in the US and Bolsonaro’s in Brazil. Activity on the platform has steadily been decreasing since its launch, although a core of veriﬁed users and early adopters kept posting and becoming central to it. Finally, although toxicity has been increasing over time, the average level of toxicity is still lower than the one recently observed on other fringe social networks like Gab and 4chan. Overall, we provide a ﬁrst quantitative look at this new community, observing a lack of organic engagement and activity.
Analyzing Antisemitism and Islamophobia using a Lexicon-based Approach

The spread of Antisemitic and Islamophobic content in a longstanding problem, in particular within fringe Web communities. In this work, we attempt to analyze the spread of Antisemitic and Islamophobic content on 4chan’s Politically Incorrect board (/pol/) using a lexicon-based approach. We use an openly-accessible knowledge graph, word embedding techniques that allow us to assess semantic similarity be-tween terms, as well as manual annotations to create 2 lexicons. A lexicon of 48 Antisemitic terms and another lexicon of 135 Islamophobic terms. Then, by extracting all posts containing these terms from /pol/, we assess the popularity and veracity (i.e., what percentage of posts that contain these terms are actually Antisemitic/Islamophobic). We find that 93% and 81% of posts that contain terms from our lexicons are Antisemitic and Islamophobic, respectively. Also, we find that the veracity and frequency of these terms greatly varies on 4chan’s /pol/. Finally, using topic modeling, we provide an overview of how popular Antisemitic and Islamophobic terms are used on 4chan’s /pol/. To conclude, we make publicly available our lexicons for Antisemitic and Islamophobic terms, which are likely to be useful for researchers working on Antisemitism/Islamophobia or hate speech in general.
Analytical model to investigate distributions of the thermal stresses in the pad and disk for different temporal profiles of friction power

The friction power is a key parameter that largely determines the value and distribution of temperature and corresponding thermal stresses in friction elements of a braking system. In this article, the influence of this parameter on the thermal stresses is under consideration. For this purpose, the exact formula was obtained to determine the normal thermal stresses, arisen due to frictional heating during relative sliding of the pad on the surface of a brake disk, for 10 selected temporal profiles of the specific friction power. Numerical analysis was carried out for a frictional couple consisting of a cast iron disk and a pad made of retinax. It is established that some temporal profiles of the specific friction power can cause the generation of the tensile stresses on the friction surface of a brake disk in a radial direction. The change of compressive stresses into tensile may indicate the initiation of the microcracks on this surface.
Cybervetting Perceptions of Job Seekers in Saudi Arabia

Organizations have leveraged the use of social media (SM) in recruitment and selection to reach a wider pool of job applicants. The purpose of this study is to understand the perceptions of job seekers in Saudi Arabia using the job seekers’ attitudes toward the cybervetting (ATC) scale. This research is a quantitative cross-sectional study in which an online questionnaire was distributed among the target population who were seeking jobs and using social media sites. The ATC was translated to Arabic language and back-translated to English language and administered to a sample of 160 job applicants. The results showed negative perceptions of social media use as a screening and selection tool. Moreover, respondents perceived cybervetting negatively on the three dimensions tested: justice perceptions, privacy invasion, and face validity. The findings of this study have practical implications for human resources managers about the use of social media as an employee selection tool.
A COMPUTERIZED KNOWLEDGE SHARING FRAMEWORK FOR THE SUPPLY CHAIN DEVELOPMENT PHASES

— although the extant literature has addressed knowledge sharing in various forms, one question remains unresolved, arising from the need for an automated process for sharing knowledge in the Supply Chain (SC). A proposal of a computerized knowledge sharing framework for the SC will impact the SC’s performance and productivity. This paper aims to review and analyze the literature on knowledge sharing strategies and then suggest an automated knowledge sharing framework for the SC. First, to develop the proposed framework, we thoroughly reviewed the literature on SC knowledge sharing processes. This review helps us identify how organizations share and manage knowledge during the development process of their SCs. Then, we proposed a computerized knowledge sharing framework for the SC. Accordingly, we suggested that the proposed knowledge sharing framework is unique among the literature strategies, because it automates the knowledge sharing process in the SC, adds value to existing research, and could be adopted by SC decision-making as a knowledge framework to increase the efficiency of sharing, and managing knowledge in the SC phase.