Miracle-dz/UniFAR-FTUs huggingface dataset:
Agham at Pangangasiwa

Since 2015, biodiversity-related surveys have been conducted biennially in the San Roque Metals Incorporated (SRMI) mineral production areas in the Municipality of Tubay, Agusan del Norte, Philippines. The company established five permanent monitoring stations in the selected habitats to monitor biodiversity and species richness effectively. The present study assessed changes in the monitoring stations using a quadrat-transect method and compared the diversity and species richness of the previous sampling periods. The results of the floristic survey recorded 160 morpho-species of seed plants (angiosperms and gymnosperms), ferns, and their allies, with 52% comprising tree species. Over time, a significant increase in the number of species was observed at the monitoring stations; however, Shannon’s Diversity Index remained low (H'=2.3610; range 0.68-1.73) for all sites. The most dominant plant habits were trees, followed by ground-dwelling herbs, vines, and climbers. Paspalum conjugatum was the most dominant ground cover, occupying 22%, and other common grass species, such as Scleria scrobiculata, Dicranopteris linearis, and Imperata cylindrica, accounting for 19%, 14%, and 14%, respectively. Approximately 70% of the identified species were native, and 13.5% were endemic to the Philippines. Nine recorded species were listed on the Philippine Red List or the IUCN Red List of Threatened Species. Although it was found that the species richness of mining areas has slightly increased since the last floristic surveys, the study recommends considering the provisions for no-mine zones and genetic conservation areas for future mine restoration and rehabilitation activities.
Analysis of Essential Oils Using GC-FID And GC-MS

Essential oils are valuable components extracted from plants. Advanced analytical methods are needed for analyzing and identifying their ingredients to ensure that a product's description reflects its true composition and origin. The analysis of essential oils by Gas-Chromatography (GC) is a widespread method for checking the composition of essential oils. When Gas-Chromatography coupled with mass spectroscopy or with flame ionization detector (FID), it can be used to analyze and identify many essential oils precisely and accurately. In this research we reported some essential oils analysis by using GC-MS and GC-FID, that have been done previously by researchers. Many essential oils in different plant sources have been extracted, analyzed and identified with appreciable accuracy and precision. GC-MS and GC-FID found to be important methods for analyzing essential oils
Simulation Platform for End-to-End Deep Learning Based Coherent Fiber Communication System

The simulation platform is developed for advanced autoencoder (AE)-based coherent optical fiber communication systems employing the geometric constellation shaping (GCS) technique. The AE is based on an end-to-end deep learning technique. The simulation platform is used as a methodology to increase the number of wavelength-division multiplexing (WDM) channels at different dual polarization modulation formats, including 64- and 256-QAM. A detailed parametric study is conducted for different symbol rates to investigate their impact on the system performance. Moreover, 2-dimensional and 4-dimensional constellations are compared to evaluate the system performance regarding signal-to-noise ratio, mutual information, and bit error rate. The developed AE platform is also tested using two types of random number generators: pseudo-random and true random number generators. The results of this work demonstrate that the presented AE platform exhibits high performance for long-distance transmission (2000 km) with different numbers of WDM channels. The results can be used as a guideline for designing high-capacity long-haul GCS-based WDM systems.
Baraminic Analysis of Crocodylia Based on Mitochondrial DNA Similarity

Crocodiles, alligators, caimans, and gharials are interesting reptiles that have key differences distinguishing them from all other reptiles. These animals can be classified into three families within the order Crocodylia: Alligatoridae (alligators and caimans), Crocodylidae (crocodiles), and Gavialidae (gharials). They are characterized by a long snout with sharp teeth, a long tail, sideways-protruding limbs, a thick scaly ectoderm, and a semi-aquatic, carnivorous lifestyle. As such, they seemingly belong to an apobaramin, separate from all other animals. How many kinds belong to Crocodylia? Are all crocodilian species interrelated, or do they possibly make up multiple, similar-looking kinds, like snakes? No data exists that suggests hybridization between the three crocodylian famil i es therefore morphological analysis is uncertain. However, in this study, the mitochondrial DNA of 19 crocodilians as well as four outliers were aligned, and the species were clustered based on sequence similarity. The current results show a possible split between Alligatoridae and all other crocodilians, suggesting two crocodilian holobaramins. However, other lines of evidence need to be considered. The 37 genes in the mitochondrial genome have virtually the same order in the 19 crocodilians in the study, which may indicate that they are one group. Previous studies suggest three crocodilian holobaramins based on morphological cognita. However, other studies also found a different split between two groups: Alligatoroidea + Crocodyloidea, and Gavialoidea. When fossil species from Eusuchia were added, all of these species were found to form a single holobaramin. Thus, it may be possible that post-Flood extinctions caused the single Crocodylia holobaramin to fragment into subgroups.
Customized Dynamic Splinting: Orthoses that Promote Optimal Function and Recovery after Radial Nerve Injury: A Case Report

: Radial nerve injury is a relatively common occurrence and recovery depends on the level of injury and extent of connective tissue damage. Orthoses (splints) are often provided to compensate for lost motor power. This article chronicles the recovery, over 27 months, of a 76-year-old woman who sustained a high radial nerve injury of her dominant arm during surgery for total shoulder replacement (Delta Reverse). Customized, low-profile dynamic splints, unlike any previously published design, were developed to address her goals for functional independence and the biological needs of the tissues. Dynamic power was provided to the wrist, fingers, and thumb by elastic cords and thin, flexible thermoplastic, without the need of an outrigger, thus avoiding the need for wire bending and cutting. At the outset, the splint was forearm-based and when wrist extension power was recovered, a hand-based splint was designed. Eventually, a circumferential hand-based thumb-stabilizing splint fulfilled most of the remaining orthotic requirements.
Molecular Docking Approach to Identify Potential AntiCandidal Potential of Curcumin

Background: Candida albicans is a kind of fungus that can lead to mortality. In the presence of the enzyme Lanosterol-demethylase, Ergosterol, the major sterol in the fungal cell membrane, is the resulting product of Lanosterol (Cytochrome P450DM). Purpose: Azole antifungal drugs target this enzyme as a target enzyme. The work included selecting and modelling the target enzyme. Cucumin’s inhibitory effect on Cytochrome P450 was tested utilising molecular docking experiments. Methods: Chem sketch was used to create compound structures, and Molergo Virtual Docker was used to do molecular docking. Results: All of the curcumin and conventional medicines, such as Ketoconazole, Clotrimazole, and Miconazole, have interaction with 14-demethylase amino acid residues, Haem and water molecules in the target site, as per the docking research.
AutoTCL: Automated Time Series Contrastive Learning with Adaptive Augmentations

Modern techniques like contrastive learning have been effectively used in many areas, including computer vision, natural language processing, and graph-structured data. Creating positive examples that assist the model in learning robust and discriminative representations is a crucial stage in contrastive learning approaches. Usually, preset human intuition directs the selection of relevant data augmentations. Due to patterns that are easily recognized by humans, this rule of thumb works well in the vision and language domains. However, it is impractical to visually inspect the temporal structures in time series. The diversity of time series augmentations at both the dataset and instance levels makes it difficult to choose meaningful augmen-tations on the fly. Thus, although prevalent, contrastive learning with data augmentation has been less studied in the time series domain. In this study, we analyze data augmentation for time series based on information theory and summarize the most adopted transformations in a unified form. On top of that, we generalize it to a parameterized augmentation method to support adaptive usage in time series representation learning. Experiments on benchmark datasets demonstrate the highly competitive results of our method, AutoTCL, with an average 10.3% reduction in MSE and 7.0% in MAE over the leading baselines.
Algorithmic randomness and analysis

In this thesis we study the interaction between algorithmic randomness and mathematical analysis. In particular, we focus on the connection between analysis and the fields of effective dimension and resource bounded randomness. We begin with the effective dimension of Euclidean points. We show that the techniques from algorithmic information can be used successfully to study problems in fractal geometry. Specifically, we investigate the Hausdorff of projections of Euclidean subsets. Using Kolmogorov complexity, we give a new proof of the celebrated Marstrand projection theorem. We also prove, using similar methods, two new lower bounds on projections. The first shows that Marstrand’s theorem holds for more general subsets of R. The second gives a lower bound on the packing dimension of projections for arbitrary sets. Our next work is on the algorithmic dimension spectra of lines in the Euclidean plane. Given any line L with slope a and vertical intercept b, the dimension spectrum sp(L) is the set of all effective Hausdorff dimensions of individual points on L. We use Kolmogorov complexity and geometrical arguments to show that, if the effective Hausdorff dimension dim(a, b) is equal to the effective packing dimension Dim(a, b), then sp(L) contains a unit interval. We also show that, if the dimension dim(a, b) is at least one, then sp(L) is infinite. Together with previous work, this implies that the dimension spectrum of any line is infinite. Our last topic is on the connection between polynomial space randomness and a fundamental result of analysis, the Lebesgue differentiation theorem. We generalize
Transparent, Cross-ISA Enclave Offloading

Hardware vendors constantly design new architecture extensions to improve software security. Due to intellectual property protection and architecture design issues, these hardware extensions are often CPU-specific. This creates an availability gap between different CPU types (security extensions) and software code that runs on top. This is particularly an issue for low-end, embedded devices as they often utilize wimpy CPU cores. This paper aims to bridge this availability gap for security-related CPU extensions, focusing on low-end embedded devices’ access to hardware trusted execution environments (TEEs). We present PopSGX, a framework to trans-parently offload security-sensitive workloads to a remote enclave of a centralized edge server. The low-end embedded devices act as clients, taking advantage of hardware security features provided by the edge server. We have built an early prototype of PopSGX on top of an open-sourced hardware-agnostic Open Enclave SDK [21]. Any application written using the Open Enclave SDK can leverage the framework without modifying source code. We evaluate our prototype on a simulated IoT/edge computing environment (a Raspberry Pi and an SGX-enabled laptop). The result shows that PopSGX has reasonable performance overhead but secures confidential computations running on the Raspberry Pi.
AERODYNAMIC CHARACTERISTICS OF THE FLAT PLATE AIRFOIL AT LOW REYNOLDS NUMBERS

In order to provide a better understanding on unsteady flow and the aerodynamic characteristics of the flat plate airfoil, a computational study has been performed to investigate the flow structures and performance at the low Reynolds number O(10 ∼ 10) regime. Using a highly resolved, sharp interface immersed boundary method to simulate incompressible viscous flow past a stationary two-dimensional flat plate, we found that depending on the combination of angle of attack (AOA) and Reynolds (Re) number, the flow structures can be classified into one of the following categories: 2S, 2P, 1S+1P, and P, where S and P represent ‘a single vortex’ and ‘a vortex pair’ respectively. The performance of the flat plate airfoil, quantified as lift over drag (CL/CD), is shown to be the most efficient at ultra low Re numbers among the several airfoil shapes being compared to. Primary Reader and Advisor: Jung-Hee Seo Secondary Reader: Rajat Mittal
Predictors of early and late survival after surgical ventricular restoration of antero-apical left ventricular aneurysms zur

1: Solowjowa N, Nemchyna O, Hrytsyna Y, Meyer A, Pasic M, Falk V, Knosalla CH, Cardiac computed tomography for therapy targeting in surgical repair of anteroapical left ventricular aneurysms: assessment of aneurysm volume and of anticipated residual left ventricular volume. In: European Heart Journal Cardiovascular Imaging, Volume 22, Issue Supplement 1, January 2021 Erfassung von Daten und Erstellung der Datenbank Statistische Analyse und Interpretation der Daten Abstract 2: Nemchyna O, Dandel M, Solowjowa N, Hrytsyna Y, Stein J, Soltani S, Knierim J, Felix S, Falk V, Knosalla C. Strain Study in Patients after Surgical Ventricular Repair: Prognostic Role of Strain Parameters and Evaluation of Left-Ventricle Remodeling. In: Thoracic and Cardiovascular Surgeon; 2020. p. S9-10.2: Nemchyna O, Dandel M, Solowjowa N, Hrytsyna Y, Stein J, Soltani S, Knierim J, Felix S, Falk V, Knosalla C. Strain Study in Patients after Surgical Ventricular Repair: Prognostic Role of Strain Parameters and Evaluation of Left-Ventricle Remodeling. In: Thoracic and Cardiovascular Surgeon; 2020. p. S9-10. Erfassung von Daten und Erstellung der Datenbank Statistische Analyse und Interpretation der Daten Abstract 3: Solowjowa N, Nemchyna O, Hrytsyna Y, Meyer A, Pasic M, Falk V, Knosalla C. Repair of Anteroapical Left Ventricular Aneurysms Guided by Use of Cardiac Computed Tomography: Assessment of Aneurysm Volume and of Anticipated Residual Left Ventricular Volume. In: Thoracic and Cardiovascular Surgeon; 2020. p. S34.3: Solowjowa N, Nemchyna O, Hrytsyna Y, Meyer A, Pasic M, Falk V, Knosalla C. Repair of Anteroapical Left Ventricular Aneurysms Guided by Use of Cardiac Computed Tomography: Assessment of Aneurysm Volume and of Anticipated Residual Left Ventricular Volume. In: Thoracic and Cardiovascular Surgeon; 2020. p. S34. Erfassung von Daten und Erstellung der Datenbank Statistische Analyse und Interpretation der Daten Abstract 4: Solowjowa N, Nemchyna O, Hrytsyna Y, Meyer A, Pasic M, Falk V, Knosalla C. Surgical Repair of Anteroapical Left Ventricular Aneurysms guided by Cardiac Computed Tomography: Assessment of Aneurysm Volume and of Anticipated Residual Left Ventricular Volume. In: Clinical Research in Cardiology; 2020. p. P1550.4: Solowjowa N, Nemchyna O, Hrytsyna Y, Meyer A, Pasic M, Falk V, Knosalla C. Surgical Repair of Anteroapical Left Ventricular Aneurysms guided by Cardiac Computed Tomography: Assessment of Aneurysm Volume and of Anticipated Residual Left Ventricular Volume. In: Clinical Research in Cardiology; 2020. p. P1550. Erfassung von Daten und Erstellung der Datenbank Statistische Analyse und Interpretation der Daten
Mass Customization and Open Innovation

: 3D full body avatar is the complete, customized, and animated graphical representation of a person in three-dimensions such that it becomes the complete digitalized representation of that person’s alter ego. 3D avatars come in many different forms, and they differ in level of details, realism (how closely is the person represented with 3D avatar), and behavior (what moves and mimics the avatar supports). 3D avatars could be created in different ways such as a result of 3D artist creativity, software generators, or using sophisticated 3D scanners. As our society becomes more and more digitalized, the amount of data regarding one person becomes enormous, and what better way of representing that person’s data then using the person’s avatar? In this paper, we explore different ways of 3D avatar creation and their current use in consumer products. We conclude the paper with discussion on expansion of 3D avatar use in the future.
GENE – CULTURE INTERACTIONS Toward an Explanatory Framework

: Examining the interconnections between genes and culture is crucial for a more complete understanding of psychological processes. Genetic predispositions may predict di ﬀ erent outcomes depending on one ’ s cultural context, and culture may predict di ﬀ erent outcomes depending on genetic predispositions – that is, genes and culture interact. Less is understood, however, about how genes and culture interact, or the psychological mechanisms through which gene – culture interactions occur. In this Element, Heewon Kwon and Joni Y. Sasaki review key ﬁ ndings and theories in gene – culture interaction research. Next, they discuss current issues and future directions in gene – culture research that may illuminate the path toward an explanatory framework.
On publicly verifiable secret sharing schemes

Secret sharing allows a dealer to distribute shares of a secret to a set of parties such that only so-called authorised subsets of these parties can recover the secret, whilst forbidden sets gain at most some restricted amount of information. This idea has been built upon in verifiable secret sharing to allow parties to verify that their shares are valid and will therefore correctly reconstruct the same secret. This can then be further extended to publicly verifiable secret sharing by firstly considering only public channels of communication, hence imposing the need for encryption of the shares, and secondly by requiring that any party be able to verify any other parties shares from the public encryption. In this thesis we work our way up from the original secret sharing scheme by Shamir to examples of various approaches of publicly verifiable schemes. Due to the need for encryption in private communication, different cryptographic methods allow for certain interesting advantages in the schemes. We review some important existing methods and their significant properties of interest, such as being homomorphic or efficiently verifiable. We also consider recent improvements in these schemes and make a contribution by showing that an encryption scheme by Castagnos and Laguillaumie allows for a publicly verifiable secret sharing scheme to have some interesting homomorphic properties. To explore further we look at generalisations to the recently introduced idea of Abelian secret sharing, and we consider some examples of such constructions. Finally we look at some applications of secret sharing schemes, and present our own implementation of Schoenmaker’s scheme in Python, along with a voting system on which it is based.
A Framing Analysis of Latinos in the Facebook Pages of News Organizations

A FRAMING ANALYSIS OF LATINOS IN THE FACEBOOK PAGES OF NEWS ORGANIZATIONS by Juliana Zapata Acosta This study of the Facebook pages of six legacy media organizations extended framing theory to apply to social media. In the study of 557 articles, four new frames and 10 new subframes were identified. The immigration frame and its two subframes, deportation and undocumented, dominated the coverage of Latinos during the period of the study. The politics frame was the second most dominant frame. This study updated the old data and found that no progress has been made, with the exception of a lesser use of the criminal frame. This improvement could be because the study included six months of the presidential campaign. However, Latinos were still framed as Others and as an oppressed community. This study concluded that there was no significant difference between the way legacy TV networks and legacy newspapers covered Latinos.
Fault estimation and prediction for nonlinear stochastic system with intermittent observations

This paper is concerned with the fault estimation and prediction problems for a class of nonlinear stochastic systems with intermittent observations. Based on the extended Kalman filter and Kalman filter, the fault and state are simultaneously estimated, and then, it is extended to the case of intermittent observations. Meanwhile, the boundedness of the estimation error is also discussed. Once the fault is detected, the parameters of each fault are identified by the linear regression method. Then, the future fault signal can be predicted by the parameters of the fault. The effectiveness of the proposed algorithm is verified by the simulation of the 3‐tank system.
The Theory of Matrices

In the last two decades Soviet m athem aticians have produced a series of rem arkable books, whose common feature is the stress laid on thoroughness and intelligibility ra the r than on slickness of presentation. Professor G antm acher’s two volumes fall into this category, and readers in English-speaking countries owe a debt of g ratitude to the translator and the publishers for making available to them this im portant treatise. The work provides not so much a system atic development of linear algebra as a detailed study of a num ber of special topics in m atrix theory, an account of some of which is not easily found elsewhere. However, the discussion is based firmly on the general theory of matrices and quadratic forms. The trea tm en t given here is largely in the spirit of m odern linear algebra, and particular atten tion is paid to the ‘geom etric’ theory of elem entary divisors and to decompositions of a vector space into sub­ spaces invariant w ith respect to a given linear operator. The remaining parts of the book, comprising about eight of the fifteen chapters, are reserved for the investigation of more special topics, of which we m ention the following: (i) functions of a m atrix (defined in term s of the LagrangeSylvester interpolation); (ii) m atrix equations; (iii) singular pencils; (iv) non-negative matrices, stochastic m atrices, Markov chains; (v) systems of linear differential equations; (vi) the algorithm of RouthH urw itz; (vii) H ankel matrices. Even this brief summ ary gives some indication of the formidable array of problems deployed w ith painstaking thoroughness by Professor Gantm acher. Indeed, he does not shrink from lengthy and involved argum ents of a kind more commonly found in research papers than in books. However, the m aterial discussed is so interesting and the presentation so clear th a t the book is sure of a welcome among a wide circle of readers. L. Mir s k y