Miracle-dz/UniFAR-FTUs huggingface dataset:
Phase-Modulated Elastic Properties of Two-Dimensional Magnetic FeTe: Hexagonal and Tetragonal Polymorphs

Two-dimensional (2D) layered magnets, such as iron chalcogenides, have emerged these years as a new family of unconventional superconductor and provided the key insights to understand the phonon-electron interaction and pairing mechanism. Their mechanical properties are of strategic importance for the potential applications in spintronics and optoelectronics. However, there is still lack of efficient approach to tune the elastic modulus despite the extensive studies. Herein, we report the modulated elastic modulus of 2D magnetic FeTe and its thickness-dependence via phase engineering. The grown 2D FeTe by chemical vapor deposition can present various polymorphs, i.e. tetragonal FeTe (t-FeTe, antiferromagnetic) and hexagonal FeTe (h-FeTe, ferromagnetic). The measured Young's modulus of t-FeTe by nanoindentation method showed an obvious thickness-dependence, from 290.9+-9.2 to 113.0+-8.7 GPa when the thicknesses increased from 13.2 to 42.5 nm, respectively. In comparison, the elastic modulus of h-FeTe remains unchanged. Our results could shed light on the efficient modulation of mechanical properties of 2D magnetic materials and pave the avenues for their practical applications in nanodevices.
Cosmological simulations of mixed ultralight dark matter

The era of precision cosmology allows us to test the composition of the dark matter. Mixed ultralight or fuzzy dark matter (FDM) is a cosmological model with dark matter composed of a combination of particles of mass $m\leq 10^{-20}\;\mathrm{eV}$, with an astrophysical de Broglie wavelength, and particles with a negligible wavelength sharing the properties of cold dark matter (CDM). In this work, we simulate cosmological volumes with a dark matter wave function for the ultralight component coupled gravitationally to CDM particles. We investigate the impact of a mixture of CDM and FDM in various proportions $(0\%,\;1\%,\;10\%,\;50\%,\;100\%)$ and for ultralight particle masses ranging over five orders of magnitude $(2.5\times 10^{-25}\;\mathrm{eV}-2.5\times 10^{-21}\;\mathrm{eV})$. To track the evolution of density perturbations in the non-linear regime, we adapt the simulation code AxioNyx to solve the CDM dynamics coupled to a FDM wave function obeying the Schr\"odinger-Poisson equations. We obtain the non-linear power spectrum and study the impact of the wave effects on the growth of structure on different scales. We confirm that the steady-state solution of the Schr\"odinger-Poisson system holds at the center of halos in the presence of a CDM component when it composes $50\%$ or less of the dark matter but find no stable density core when the FDM accounts for $10\%$ or less of the dark matter. We implement a modified friends-of-friends halo finder and find good agreement between the observed halo abundance and the predictions from the adapted halo model axionHMCode.
The Easterlin Paradox Re-examined Using Propensity Score Matching on Philippine Social Weather Station Data

We subject a portion of Easterlin's controversial yet correlational claim of a non- monotonic relationship between happiness and income (the so-called "Easterlin Paradox", 1974) to a stronger test of causality. We do this by using propensity score matching (PSM) techniques to create "matched pairs" that mimic treatment and control groups on a non- experimental dataset, the 2008 wave of the Philippine Social Weather Survey. By matching individuals based on similar propensity scores, we are able to make causal claims over a subset of the data, the "region of common support. " In implementing PSM, we use two versions of the outcome variable subjective well-being: self-reported happiness and life satisfaction; we also use three income proxies (class of dwelling, self-rated poverty, and number of hard-up times per month) in the absence of direct measures within the survey. Our findings indicate that Easterlin's assumed positive relationship between income and happiness within countries is reproduced in only four of six possible runs, either with naive regression or PSM. However, in only one case does using PSM increase the significance of the effect; in all others, using a causal effects methodology reveals how naive regression overstates the happiness-income relationship. Finally, in all cases where the treatment effect is significant, the magnitude of the relationship nevertheless remains weak.
Bigger, better, smarter: High performance computing applied to government geophysics

Government Geological Surveys study the Earth at the regional, province or national scale, and acquire vast volumes of technically complex data. Clients are increasingly requesting not just the basic national data, but also processed and derived products that enhance the geological information contained in the data. High performance computers facilitate a step-change in advanced processing and modelling of large, complex data, and will help Government Agencies deliver more sophisticated products to industry and researchers. Data processing and inversion are no-longer limited by the computational effort required. Geoscience Australia is collaborating with the National Computational Infrastructure facility (NCI) at the Australian National University to develop advanced methods for extracting the maximum geological information from large data volumes. The new methods include: Modelling of potential field data in spherical coordinates; Inversion of magnetotelluric tensor data to a full 3D mesh of resistivities, and; Monte Carlo inversion of AEM responses. These algorithms are being implemented in a new Virtual Geophysical Laboratory in which government data and advanced processing methods are brought together in a single high performance computer environment.
The Influence of Workplace Spirituality and Organizational Culture on Employee Performance with the Mediating Variable Individual Spirituality at PT. Tirtakencana Tatawarna Garut Regency, West Java

Development and improvement of human resources in facing the challenges of the world of work related to the application of spiritual values ​​in the workplace, the values ​​of the company's organizational culture, both individual and group levels, are considered to have an important role in improving employee performance. This research aims to determine the effect of workplace spirituality and organizational culture on Employee performance with individual spirituality as a mediating variable at PT. Tirtakencana Tatawarna, Garut Regency, West Java. This research uses quantitative methods with types of purposive sampling, data processing, and testing using SEMPLS version 3.9. 2. The research results show that there is a significant and positive direct influence, this means that the higher workplace spirituality, organizational culture, and individual spirituality, the higher employee performance, conversely, if workplace spirituality, organizational culture, and individual spirituality are low, employee performance will be low. Indirectly, it has been proven that individual spirituality mediates significantly and positively.
Regional variation in social isolation amongst older Australians

Regional studies globally has a strong focus on understanding the causes of variation in the economic performance and well-being of regions and this emphasis acknowledges that the strength of the local or regional economy plays a determinant role in shaping quality of life. Regional research has been less active in considering spatial variation in other factors that are critical to individual and societal well-being. For example, the regional studies community has been absent from the debate on the social determinants of health and how these influences vary spatially. This paper considers the results of a cross-sectional survey of Australians aged 65 years and over that focused on social connections and well-being. It examines regional variations in the incidence of social isolation within the older population. It finds that while the incidence of self-reported social isolation amongst older persons is broadly consistent with earlier studies, it demonstrates a spatial patterning that is unexpected. The paper considers community-building activities in addressing the impacts of social isolation, including the role of urban design, and suggests that there is a need to supplement the national overview presented there through more detailed studies focused on individual localities.
Reverse Osmosis is not a Viable Option for Water Purification in Water Stressed Regions of India

Pollution of water bodies is on the rise all over the world. In India, water pollution and lack of available safe water is particularly devastating for the health, social and economic situation of the local populations. Today, approximately seventy percent of India’s surface water bodies are unfit for human consumption and over the past decades, people have turned to ground water as their primary source of water for everyday needs. However, increased urbanization and population growth is resulting in over-exploitation of India’s ground water sources. In 1947, at the time of independence, India’s water availability per person was over 5,000 cubic meters per person per year. Fifty years later, the actual usable quantity has fallen to an estimated 1,122 cubic meters per person per year. Over-extraction of ground water is causing the ingress of salinity and other pollutants in coastal and inland areas. The decreased water availability compounded with increased pollution has sparked a search for technologies to produce clean water from polluted sources. Many consumers as well as community organizations (governmental and non-governmental) have turned to Reverse Osmosis (RO) for elimination of contaminants. However, the drawback is that RO generates concentrated effluent that must be properly managed in order to avoid environmental contamination of ground water in the long term. The deterioration in water quality is leading to a rapid adoption of more and more RO installations. This article illustrates that utilizing Reverse Osmosis as sole means of drinking water purification will only worsen the situation in the long term.
The ‘ Fallacy of Composition ’ Market Failure : A Sufficient Reason for the Necessity of Macroeconomics and the Futility of Microfoundations

This paper argues that the critical test whether phenomena of market failure require a separate ‘general’ or ‘macro’ level of analysis was provided by Keynes. This was whether conclusions ‘correctly’ arrived at with regard to the behaviour of a part of a system, be extended and ‘correctly’ applied to the system as a whole. If the answer is ‘yes’, as is the case with regard to market failures due to externalities and public goods, then microeconomic theory and policy is necessary and sufficient to deal with the ‘mismatch’ between individual and aggregate behaviour. If, however, the answer is ‘no’ as is the case with the market failures due to the ‘fallacy of composition’ then macroeconomic theory and policy is warranted and the micro-foundations project ought to be abandoned since not all macroeconomic propositions can be derived from microeconomic theory. JEL Classification: E12, B22, B40, D62
DIATOM ASSEMBLAGES IN RELATION TO WATER-DEPTH GRADIENTS IN EIGHT BOREAL SHIELD LAKES FROM NORTHWESTERN ONTARIO, CANADA

ii Co-Authorship iii Acknowledgements iv List of Figures vii List of Tables ix Chapter 1 General Introduction and Literature Review 1 Chapter 2 Consistent patterns in diatom assemblages and measures of diversity across depth gradients in eight lakes from northwestern Ontario (Canada): Creating the foundation for lakelevel reconstructions 11 Abstract 12 12 2.
eview pilimumab : A novel immunostimulatory monoclonal antibody or the treatment of cancer

Ipilimumab (Yervoy, developed by Medarex and Bristol-Myers Squibb) is a fully human monoclonal IgG1 antibody against the cytotoxic T-lymphocyte antigen-4 (CTLA-4), an immune-inhibitory molecule expressed in activated T cells and in suppressor T regulatory cells. Interaction of the monoclonal antibody with CTLA-4 blocks inhibitory signals generated through this receptor and enhances T cell activation, leading to increased antitumor responses. Ipilimumab has been approved by FDA in March 2011 as monotherapy (3 mg/kg every 3 weeks for 4 doses) for the treatment of advanced (unresectable or metastatic) melanoma both in pre-treated or chemotherapy naïve patients. Four months later, ipilimumab has received a rapid approval by the European Commission, after a positive opinion from the Committee for Medicinal Products for Human Use. However, the indication in the EU is limited to previously-treated patients with advanced melanoma. Ipilimumab is the first agent that has demonstrated to improve overall survival in patients with metastatic melanoma, which has a very poor prognosis, in randomized phase III clinical trials. The patterns of tumour response to ipilimumab differ from those observed with cytotoxic chemotherapeutic agents, since patients may have a delayed yet durable response and obtain long-term survival benefit despite an initial tumour growth. The major drawback of ipilimumab is the induction of immune-related adverse effects; the latter can be life-threatening, unless promptly managed with immunosuppressive agents (most frequently corticosteroids) according to specific guidelines. Further development of ipilimumab includes its use in the neoadjuvant or adjuvant high-risk melanoma setting and for the treatment of other refractory and advanced solid tumours, either as single agent or in combination with additional immunostimulating agents or molecularly targeted
Choosing the right MFA method for online systems: A comparative analysis

A robust authentication method is needed to protect online user accounts and data from cyber-attacks. Using only passwords is insufficient because they can be easily stolen or cracked. Multi-factor authentication (MFA) increases security by requiring two or more verification factors from the user before granting access to a resource such as an online account or an application. MFA is essential to a strong identity and access management (IAM) policy. This study evaluates and contrasts several MFA methods for online systems, including Microsoft Authenticator, FIDO2 security keys, SMS, voice calls, and biometrics. We assess these methods based on four criteria: security, usability, cost, and compatibility. We discover that only some MFA methods excel across the board. The best MFA method will depend on the organization's and users' specific needs and preferences. Each MFA method has benefits and drawbacks on its own. Based on our analysis, we do, however, make some general observations and recommendations, such as preferring FIDO2 security keys and certificate-based authentication for high-security scenarios, choosing Microsoft Authenticator and biometrics for high-usability scenarios, and avoiding SMS and voice calls for low-security and low-usability scenarios.
Global Anomaly Detection-based Distributed Estimation for Constrained Systems over Sensor Networks

The problem of distributed estimation for constrained systems over sensor networks is addressed, in which global anomaly detection strategy is developed in distributed fusion process. The prior constraint model and innovation vector are introduced to construct a feature vector in abnormal detection. Then a distributed power method is used to perform anomaly detection based on the global information of each sensor node. Distributed fusion scheme is proposed based on the detection report and the constraint information in which the fused estimate is proved to satisfy the priori constraint. Finally, two example of random anomaly measurement and time-varying anomaly measurement are provided to demonstrate the effectiveness of the proposed distributed estimator.
Mapping Micro-Climate in a Greenhouse Through a Context-Aware Recurrent Neural Network

Existing greenhouse climatic models usually rely on the assumption that climate conditions inside a greenhouse are uniform. This allows to maintain the model as simple as possible at the expense of less accuracy in the final predictions. However, in real-world applications this uniformity assumption is not satisfactory from the agronomic perspective, since it may lead to wrong decisions and irreversible damages to crops. Conversely, more sophisticated techniques need to collect data from a great number of sensors. In this paper, we try to overcome this situation by proposing the concept of virtual sensor whose behaviour is modeled by a context-aware recurrent neural network trained by the relationship between temporary sensors placed in specific point of interests, and a set of sensors placed in permanent positions in the greenhouse. More specifically, we try to model the dependency of climate conditions as time series where the variability does not depend only on temporal aspects, but also on richer contextual dimensions, like space locations and distance relationships with a predefined and small set of permanent sensors. The proposed technique has been applied to a real-world dataset coming from a greenhouse located in Verona in which one permanent sensor has been placed at the center of the greenhouse and seven temporary sensors have been maintained for a limited period of time.
Potential Alphavirus Inhibitors From Phytocompounds – Molecular Docking and Dynamics Based Approach

Background. Alphaviral diseases are an economic burden all over the world due to their chronicity and distribution worldwide. The glycoproteins E1 and E2 are important for binding to the surface of the host cell by interacting with the receptors and non-structural proteins named nsP2 and nsP4 are important for the replication of virus, so can be an important drug discovery target. Objective. We are aimed to explore the in silico interaction between plant-based compounds (phytocompounds) and specific protein targets, such as nonstructural protein nsP4 and glycoprotein E2 of Sindbis virus (SINV), nsP2 and E2 of Chikungunya virus (CHIKV), and glycoproteins E1 and E2 of Ross River virus (RRV). Methods. A library of phytochemicals from Indian medicinal plants was prepared using databases and converted to 3D structures. Protein structures (nsP2, nsp4, E1, E2) were obtained and refined, followed by molecular docking with AutoDock Vina. Promising ligands were evaluated for properties, cytotoxicity, and mutagenicity, considering drug-likeness and potential issues. Molecular Dynamics simulations assessed complex stability. Results. We analyzed 375 phytocompounds against these targets using molecular docking, modeling, and molecular dynamics for SINV, CHIKV, and Ross River (RRV) virus proteins. Granatin A has been found to successfully bind to the target sites of SINV nsP4, CHIKV E2, and CHIKV nsP2 with binding affinity values of -16.2, -20.6, and -18.6 Kcal/mol respectively. Further, stability of CHIKV E2 – Granatin A complex was done by performing molecular dynamic simulation and the complex was stable at 60ps. Conclusions. This research provides valuable insights into the development of effective antiviral drugs against alphaviruses, emphasizing the importance of natural compounds and their interactions with viral proteins. This study might pave the way for further exploration of these small molecules as effective anti-alphaviral therapeutic agents.
HUMAN INDUCED DISASTER AND THE SOCIOECONOMIC CAPITALS OF SQUATTER SETTLERS: THE CASE OF THE KORE COMMUNITY IN ADDIS ABABA, ETHIOPIA.

This research paper presents the result of the study made among Kore squatters in Addis Ababa, Ethiopia. The relevant data were collected through triangulation approach using the techniques of questionnaire survey, in-depth interview, focus group discussion and personal observation. The lack of basic infrastructure services, the occurrence of recurrent land tenure conflict, prevalence of environmental pollution, and low level of income characterizes the socioeconomic capitals of the community. It appears that 92.3% of the sampled respondents predominantly depend on low income generating informal sources of livelihood. In the absence of options, young females and widowhood engaged in prostitution, while elderly people beg to earn their living. In spite of these challenges, the repatriates of Kore benefited from their squatter settlement in accessing shelter and various sources of informal income. The lack of open discussion between the representatives of the government and repatriates and the delay of appropriate measures adversely hindered the rehabilitation process of the returnees. Moreover, the gap of interest between government agencies and the demand of the community also resulted in frequent land tenure conflict. Thus, the rehabilitation measures should have been developed through adequate participation of the community representatives and government agencies. The discussion would help to efficiently respond to the needs of the community and to, ultimately, resolve potential conflicts and come up with sustainable solutions.
Chapter Fiber-Optic Ring Resonator Interferometer

In this chapter, theoretical analysis and electro-optical characterization of a fiber optic passive ring resonator interferometer (FOPRRI) were realized. First, a theoretical description and analysis of all-pass and add-drop filter configurations were performed, hence obtaining their respective transfer function, taking into account, the physical properties of a standard single-mode optical fiber as resonator constitutive material. Second, computational numerical simulations of a typical FOPRRI were performed with different analysis methods: effective index method (EIM), coupled mode theory (CMT), finite element method (FEM) and finite difference time domain (FDTD). Third, a comparative analysis of the results obtained with these methods is realized, showing the most accurate and appropriate for filter electro-optical characterization as a consequence. Last, and as an ultimate step, taking as reference the previously obtained electro-optical characterization for both configurations, the main applications are derived.