Miracle-dz/UniFAR-FTUs huggingface dataset:
Focused Review: Cytotoxic and Antioxidant Potentials of Mangrove-Derived Streptomyces

Human life expectancy is rapidly increasing with an associated increasing burden of chronic diseases, such as neurodegenerative diseases and cancer. However, there is limited progress in finding effective treatment for these conditions. For this reason, members of the genus Streptomyces have been explored extensively over the past decades as these filamentous bacteria are highly efficient in producing bioactive compounds with human health benefits. Being ubiquitous in nature, streptomycetes can be found in both terrestrial and marine environments. Previously, two Streptomyces strains (MUSC 137T and MUM 256) isolated from mangrove sediments in Peninsular Malaysia demonstrated potent antioxidant and cytotoxic activities against several human cancer cell lines on bioactivity screening. These results illustrate the importance of streptomycetes from underexplored regions aside from the terrestrial ecosystem. Here we provide the insights and significance of Streptomyces species in the search of anticancer and/or chemopreventive agents and highlight the impact of next generation sequencing on drug discovery from the Streptomyces arsenal.
Towards cultural praxis of athletes’ careers

In editing the recent ISSP book, Athletes’ Careers across Cultures, we were able to analyze the evolution and current status of career research and assistance in 19 countries. One lesson from this analysis is that career researchers/practitioners should be more proactive in anticipating and matching changes in both the modern sporting context and international sporting culture (e.g., increased globalization, commercialization, professionalization, transnationalism, and cultural exchange). Based on this analysis and the collective wisdom of the book’s contributors, we suggest a new paradigm termed cultural praxis of athletes’ careers (Stambulova & Ryba, 2013), which we set as a challenge for career researchers and practitioners. The quintessence of this approach is to consider career theories, research and assistance as permeated by culture and united into cultural praxis. More specifically, the cultural praxis of athletes’ careers implies: (a) a merge of the holistic lifespan (Wylleman & Lavallee, 2004) and holistic ecological (Henriksen, 2010) perspectives in career research and assistance, (b) reflexive situatedness of career projects in relevant socio-cultural and historical contexts (e.g., Ryba, 2009; Ryba, Schinke & Tenenbaum, 2010; Stambulova & Alfermann, 2009), (c) an idiosyncratic approach in career research and assistance with specific attention to diversity in career patterns/trajectories, including marginalized athletic populations, such as female, gay, and ethnic minority athletes (e.g., Ryba & Schinke, 2009; Stambulova, 2010), (d) an increased attention to transnationalism in contemporary sporting culture and to trans-disciplinary career research, helping to grasp athletes’ multifaceted lived experiences in sport and beyond (e.g., Azocar, Torregrosa, Pallares, & Perez, 2012; Ryba, 2011; Ryba, Haapanen, Mosek, & Ng, 2012; Schinke, Gauthier, Dubuc, & Crowder, 2007), (e) multicultural and transnational consulting, including international networks of existing Career Assistance Programs (e.g., Schinke & Hanrahan, 2009; Schinke, McGannon, Parham, & Lane, 2012; Stambulova, Alfermann, Statler, & Cote, 2009), (f) participatory action research facilitating close collaboration between researchers, practitioners, and athlete-participants (Ryba, 2009; Schinke, Peltier, Ryba, M. J. Wabano, & M.Wabano, 2010). In brief, the approach we have coined as cultural praxis of athletes’ careers challenges the culture-blind career theories, research and practice in sport psychology and stimulates sport psychologists to deal with issues of marginalization, representation and social justice through theory, research and applied work.
Nutrient Removal & Greenhouse Gas Abatement with CO 2 Supplemented Algal High Rate Ponds

High rate algae ponds fed clarified domestic wastewater and CO2-rich flue gas are expected to remove nutrients to concentrations similar to those achieved in mechanical treatment technologies, such as activated sludge. However, the energy intensity of wastewater treatment with CO2-supplemented high rate ponds (HRPs) would be less than that of mechanical treatments. In conjunction with anaerobic digestion of algal biomass and co-substrates, the algae-based system would produce a substantial excess of electricity. Greenhouse gas abatement from such CO2-HRP/digestion systems would stem mainly from energy conservation and the offset of fossil fuel electricity with biogas-derived electricity. Laboratory experiments showed nutrient removals of >98% for ammonium and >96% for phosphorus with mixed culture microalgae grown on CO2-supplemented primary wastewater effluent. An engineering numerical model for CO2-HRP/digestion facilities (based in part on large-scale algae production under southern California conditions) indicates a potential energy surplus of 330 kWh/ML (1,200 kWh/MG) from biogas-derived electricity, compared to the net energy consumption of about 760 kWh/ML (2,900 kWh/MG) at typical activated sludge facilities with nitrification/denitrification. Considering the net electricity production and energy savings of the CO2-HRP/digestion systems, a greenhouse gas abatement potential of 660 kg CO2eq/ML (2,500 kg CO2eq/MG) treated is expected for a 100-ha facility treating 20 MGD.
A Natural Extension To Online Algorithms For Hybrid RL With Limited Coverage

Hybrid Reinforcement Learning (RL), leveraging both online and offline data, has garnered recent interest, yet research on its provable benefits remains sparse. Additionally, many existing hybrid RL algorithms (Song et al., 2023; Nakamoto et al., 2023; Amortila et al., 2024) impose coverage assumptions on the offline dataset, but we show that this is unnecessary. A well-designed online algorithm should"fill in the gaps"in the offline dataset, exploring states and actions that the behavior policy did not explore. Unlike previous approaches that focus on estimating the offline data distribution to guide online exploration (Li et al., 2023b), we show that a natural extension to standard optimistic online algorithms -- warm-starting them by including the offline dataset in the experience replay buffer -- achieves similar provable gains from hybrid data even when the offline dataset does not have single-policy concentrability. We accomplish this by partitioning the state-action space into two, bounding the regret on each partition through an offline and an online complexity measure, and showing that the regret of this hybrid RL algorithm can be characterized by the best partition -- despite the algorithm not knowing the partition itself. As an example, we propose DISC-GOLF, a modification of an existing optimistic online algorithm with general function approximation called GOLF used in Jin et al. (2021); Xie et al. (2022a), and show that it demonstrates provable gains over both online-only and offline-only reinforcement learning, with competitive bounds when specialized to the tabular, linear and block MDP cases. Numerical simulations further validate our theory that hybrid data facilitates more efficient exploration, supporting the potential of hybrid RL in various scenarios.
Dynamic affine-invariant shape-appearance handshape features and classification in sign language videos

We propose the novel approach of dynamic affine-invariant shape-appearance model (Aff-SAM) and employ it for handshape classification and sign recognition in sign language (SL) videos. Aff-SAM offers a compact and descriptive representation of hand configurations as well as regularized model-fitting, assisting hand tracking and extracting handshape features. We construct SA images representing the hand's shape and appearance without landmark points. We model the variation of the images by linear combinations of eigenimages followed by affine transformations, accounting for 3D hand pose changes and improving model's compactness. We also incorporate static and dynamic handshape priors, offering robustness in occlusions, which occur often in signing. The approach includes an affine signer adaptation component at the visual level, without requiring training from scratch a new singer-specific model. We rather employ a short development data set to adapt the models for a new signer. Experiments on the Boston-University-400 continuous SL corpus demonstrate improvements on handshape classification when compared to other feature extraction approaches. Supplementary evaluations of sign recognition experiments, are conducted on a multi-signer, 100-sign data set, from the Greek sign language lemmas corpus. These explore the fusion with movement cues as well as signer adaptation of Aff-SAM to multiple signers providing promising results.
Pre-Sorted Tsetlin Machine (The Genetic K-Medoid Method)

This paper proposes a machine learning pre-sort stage to traditional supervised learning using Tsetlin Machines. Initially, N data-points are identified from the dataset using an expedited genetic algorithm to solve the maximum dispersion problem. These are then used as the initial placement to run the K-Medoid clustering algorithm. Finally, an expedited genetic algorithm is used to align N independent Tsetlin Machines by maximising hamming distance. For MNIST level classification problems, results demonstrate up to 10% improvement in accuracy, approx. 383X reduction in training time and approx. 86X reduction in inference time.
A Technology Overview of the PowerChip Development Program

The PowerChip research program is developing technologies to radically improve the size, integration, and performance of power electronics operating at up to grid-scale voltages (e.g., up to 200V) and low-to-moderate power levels (e.g., up to 50W) and demonstrating the technologies in a high-efficiency light-emitting diode driver, as an example application. This paper presents an overview of the program and of the progress toward meeting the program goals. Key program aspects and progress in advanced nitride power devices and device reliability, integrated high-frequency magnetics and magnetic materials, and high-frequency converter architectures are summarized.
Proof of Aperiodicity of hat tile using the Golden Ratio

The Einstein tile is a novel type of non-periodic tile that can cover the plane without repeating itself. It has a simple shape that resembles a fedora. This research paper unveils the aperiodicity of the newly discovered Einstein tile using the golden ratio, marking a paradigm shift in the field of geometric tiling. This Through rigorous analysis, mathematical modeling, and computational simulations, we provide compelling evidence that the Einstein tile defies conventional periodicity, lacking any repeating pattern or translational symmetry. The unique properties of the Einstein tile open up new avenues for exploring aperiodic tiling systems and their implications in various scientific and technological domains. From cryptography to materials science, the aperiodicity of the Einstein tile presents exciting opportunities for advancements in diverse fields, expanding our understanding of tiling theory and inspiring future explorations into aperiodic structures.
Development of a competency tool for adult trained nurses caring for people with intellectual disabilities.

AIM To develop and test a competency assessment tool for adult trained nurses caring for people with intellectual disabilities in hospital. BACKGROUND The report 'Death by indifference' in 2007 highlighted inadequate care given to people with intellectual disabilities in hospital. This study sought to develop and test a competency assessment tool for adult trained nurses in the care of this patient group. METHODS A review of the literature informed the topic guide for focus groups (n = 4) with experienced adult trained nurses, learning disability nurses and people with intellectual disabilities (n = 25). Expert interviews (n = 29) were conducted to identify emergent themes. A draft competency assessment tool was reviewed by an expert panel (n = 5) and tested within a convenience sample (n = 34; response rate 28%) at a local district general hospital across several clinical specialities. RESULTS The participants considered themselves to be either 'novice' or 'competent' across most items. The tool was then redrafted and minor amendments made. 'Little or no knowledge' or 'novice' was reported in areas such as consent, diagnostic overshadowing and management of self harm. CONCLUSION Use of the competency assessment tool will support assessment of current levels of knowledge and skills and inform educational provision of the workforce. IMPLICATIONS FOR NURSING MANAGEMENT Use of the competency assessment tool will inform nursing management of skill levels and educational need.
Can Digital Computers Think?; Reprinted in (copeland 2004)

In recent years, much research has been devoted to the analysis of the World Wide Web; however, few have deployed the synthesis of architecture. In fact, few scholars would disagree with the confirmed unification of virtual machines and the partition table, which embodies the confusing principles of crypto-analysis. In order to fix this obstacle, we examine how robots can be applied to the investigation of Moore's Law that made enabling and possibly visualizing write-back caches a
Comparative Study of Rayleigh Fading Multiple Antenna System with MRC

We consider multiple-input multiple-output (MIMO) transmit space time coded systems with maximum ratio combining (MRC) receivers. The operating environment is multipath Rayleigh fading with both transmit and receive spatial correlation. We present exact expressions for the probability density function (p.d.f.) of the output signal-to-noise ratio (SNR), as well as the system probability error function. The results are based on BER performance . For systems with one antennas at either the transmitter or N number of receiver, we also derive exact closed-form expressions for the symbol error rate (SER). The new expressions are used to prove that MIMO-MRC achieves the maximum available spatial diversity order,and to demonstrate the effect of spatial correlation. The analysis is lidated through comparison with MATLAB simulations.
Security and Privacy Vulnerabilities of In-Car Wireless Networks: A Tire Pressure Monitoring System Case Study

Wireless networks are being integrated into the modern automobile. The security and privacy implications of such in-car networks, however, have are not well understood as their transmissions propagate beyond the confines of a car's body. To understand the risks associated with these wireless systems, this paper presents a privacy and security evaluation of wireless Tire Pressure Monitoring Systems using both laboratory experiments with isolated tire pressure sensor modules and experiments with a complete vehicle system. We show that eavesdropping is easily possible at a distance of roughly 40m from a passing vehicle. Further, reverse-engineering of the underlying protocols revealed static 32 bit identifiers and that messages can be easily triggered remotely, which raises privacy concerns as vehicles can be tracked through these identifiers. Further, current protocols do not employ authentication and vehicle implementations do not perform basic input validation, thereby allowing for remote spoofing of sensor messages. We validated this experimentally by triggering tire pressure warning messages in a moving vehicle from a customized software radio attack platform located in a nearby vehicle. Finally, the paper concludes with a set of recommendations for improving the privacy and security of tire pressure monitoring systems and other forthcoming in-car wireless sensor networks.
Social and personality development

The success of this best-selling text lies in the author's belief that a good text talks with, rather than at, its readers. Shaffer does an extraordinary job of anticipating students' interests, questions, and concerns while treating them as active participants in the process of learning about social and personality development. The Sixth edition of SOCIAL AND PERSONALITY DEVELOPMENT features clearly written, current coverage of social and personality development that aids students in discovering the causes, processes, and complexities that underlie developmental change. Students learn why biological and environmental factors, contextual factors such as cross-cultural, familial, neighborhood, school, and peer-group influences cause change in children. Shaffer also explores the approaches that researchers use to test their theories and answer important questions about developing children and adolescents. This book's effective coverage of field research stands out from other texts not only for its accuracy and currency, but because Shaffer consistently juxtaposes classic research with the latest breakthroughs in a way that helps students appreciate how knowledge builds on earlier findings. This edition features a much stronger emphasis on cultural influences on development.
An Evaluation of Greek-English Cross Language Retrieval within the CLEF Ad-Hoc Bilingual Task

This article describes an experimental investigation on the use of resources from the web on a common Natural Language Problem (NLP) problem that of Word Sense Disambiguation (WSD). In particular we use our disambiguation experiments with statistical query translation on a Greek-English cross language retrieval system using Google’s n-grams. Results from our participation on the Ad-Hoc TEL track of CLEF 2009 are reported.
Defective Expression of Mitochondrial, Vacuolar H+-ATPase and Histone Genes in a C. elegans Model of SMA

Spinal muscular atrophy (SMA) is a severe motor neuron degenerative disease caused by loss-of-function mutations in the survival motor neuron gene SMN1. It is widely posited that defective gene expression underlies SMA. However, the identities of these affected genes remain to be elucidated. By analyzing the transcriptome of a Caenorhabditis elegans SMA model at the pre-symptomatic stage, we found that the expression of numerous nuclear encoded mitochondrial genes and vacuolar H+-ATPase genes was significantly down-regulated, while that of histone genes was significantly up-regulated. We previously showed that the uaf-1 gene, encoding key splicing factor U2AF large subunit, could affect the behavior and lifespan of smn-1 mutants. Here, we found that smn-1 and uaf-1 interact to affect the recognition of 3′ and 5′ splice sites in a gene-specific manner. Altogether, our results suggest a functional interaction between smn-1 and uaf-1 in affecting RNA splicing and a potential effect of smn-1 on the expression of mitochondrial and histone genes.
An Enhanced Intelligent Water Drops Algorithm for Scheduling of an Agile Manufacturing System

This paper deals with an agile manufacturing system with two stages where the first stage is the machining stage including a single flexible machine while the second stage is assembly stage including parallel identical assembly machines. Products have an assembly structure where their parts should be processed at the first stage and then proceed to the assembly stage. The goal is to find the parts sequence which minimizes makespan. Since the studied problem is NP-hard, enhanced intelligent water drops (EIWD) algorithm as a new swarm-based nature inspired optimization algorithm is proposed. Also, artificial immune system (AIS) algorithm has been proposed to tackle the addressed problem. Computational results based on randomly generated instances show the effectiveness of the proposed technique.
Aprendizagem cooperativa e o problema de formação de grupos

Este trabalho apresenta o problema da divisao de uma classe de alunos em grupos para aprendizagem cooperativa sujeita a fatores pedagogicos. Propomos uma abordagem baseada em algoritmos geneticos para a formacao dos grupos no qual aplicamos os fatores de aceitacao de um grupo, pelo professor, baseada no perfil dos alunos e pela coesao do grupo, baseada no uso de tecnicas socio-metricas. Esta abordagem e usada no ambiente NetClass de ensino-aprendizagem cooperativa.
Design and implementation of programmable read only memory using reversible decoder on FPGA

Reversible logic is the emerging field for research in present era. The aim of this paper is to design and synthesize a Programmable Read Only Memory (PROM) using a reversible decoder which is designed using reversible logic with minimum quantum cost. The PROM is a Programmable Logic device which consists of fixed AND Gates and programmable OR gates array. Fixed AND gates can be termed as a decoder. PROM finds its applications in cell phones, RFID tags, video game consoles, medical devices, computers and other electronic devices. An n input and k output Boolean function f (a1, a2, a3, ….an) (referred as (n, k)) is said to be logically reversible if and only if, the number of inputs are equal to the number of outputs i.e., ‘n’ equals ‘k’ and the input pattern uniquely maps the output pattern. The reversible logic must run both forward and backward as well such that the inputs can also be retrieved from outputs. There are many reversible logic gates in literature like NOT gate, Feynman Gate (CNOT gate), Double Feynman Gate, Peres Gate, TR gate, Seynman Gate and many more. Fan-out and Feed-back are not allowed in Logical Reversibility. To overcome the Fan out limitation, the signals from required output lines are duplicated to desired lines using additional reversible combinational circuits. Reversible Logic owns its applications in various fields which include Quantum Computing, Optical Computing, Nano-technology, Computer Graphics, low power VLSI etc., Reversible logic is gaining its own importance in recent years largely due to its property of low power consumption and low heat dissipation. In this paper, the Programmable Read Only Memory (PROM) using reversible decoder which has less heat dissipation and low power consumption is proposed. The designed circuit is analyzed in terms of quantum cost, garbage outputs and number of gates. The Circuit has been designed and simulated using Xilinx software and implemented on FPGA SPARTAN — 3E.
JLP: A scaffolding protein that tethers JNK/p38MAPK signaling modules and transcription factors

Extracellular signals are transduced into cells through mitogen-activated protein kinases (MAPKs), which are activated by their upstream kinases. Recently, families of scaffolding proteins have been identified to tether specific combinations of these kinases along specific signaling pathways. Here we describe a protein, JLP (c-Jun NH2-terminal kinase-associated leucine zipper protein), which acts as a scaffolding protein to bring together Max and c-Myc along with JNK (c-Jun NH2-terminal kinase) and p38MAPK, as well as their upstream kinases MKK4 (MAPK kinase 4) and MEKK3 (MAPK kinase kinase 3). Thus, JLP defines a family of scaffolding proteins that bring MAPKs and their target transcription factors together for the execution of specific signaling pathways.