Miracle-dz/UniFAR-FTUs huggingface dataset:
A Review of the Insider Threat, a Practitioner Perspective Within the U.K. Financial Services

The insider threat within organisational cybersecurity continues to be of great concern globally. The current insider threat detection strategies are acknowledged as ineffective, evidenced by the increased reported events in high-profile insider threats and cyber data loss cases borne from insider and privilege misuse. The impact of insider incidents on Financial Service (FS) organisations is vast, operationally disruptive, and costly from a regulatory, financial, and reputational perspective. Many United Kingdom (UK) FS organisations have invested in insider risk programmes, but there is no sign of the insider threat diminishing. This paper will address the following research questions: 1) What factors influence employees to become malicious insider threats and apply this to employees working within the UK? 2) What preventative measures could be effectively operationalised within UK FS organisations to prevent malicious insider attacks? A literature review was conducted, reviewing 54 articles in peer-reviewed journals. Additional and relevant articles were incorporated to enrich the review, further substantiating the academic currency and context of the study. The review reveals five primary emerging insider threat themes, subsequently discussed and including behavioural indicators, information security behaviours, technical controls, insider threat strategies, and regulation. Throughout the literature review, one primary challenge highlighted the lack of articles published concerning the FS industry; however, the studies reviewed were relevant, appropriate, and applied across this review. Furthermore, the review also considers outcomes from a practitioner’s perspective, offering insights into the limitations of insider threat approaches and strategies and offering potential recommendations.
Assesment Environmental Sustainability at Upper Watershed Area Based on Bioindicators Knowledge Using The Rapid Appraisal of River Conservation Status (RapRiCons) for Sutainable River Conservation

River conservation activity is an activity that must be performed continuously and takes a long period in socio-ecological-economy and politics area. This conservation activity will run well if supported by community’s awareness of this conservation activity. Unfortunately, not every element of society consciously takes part in river conservation activity. Main issue in this research is the presence of people knowledge about bioindicator increase can be used as consciousness leverage in doing river conservation. River conservation that has been recorded by people can be evaluated by developing five dimensions’ measurement which is ecological dimension, economical dimension, technological dimension, socio-cultural dimension, and ethical dimension that summarized in evaluation tool called The Rapid appraisal of River Conservation Status (RapRiCons) which is an evaluation tool for environment sustainability. This tool is a modification from RAPFISH. This research used quantitative approach with descriptive analytic method. The results and conclusions from this research show that environment sustainability that revealed in five measurement, all shows that good scores and shows enough environment sustainability status. The result from this research can be used as reference about strength and weakness on each measurable dimension as bioindicator based river conservation evaluation that performed independently by community
Using Neural Network with Speaker Applications

In Automatic Speech Recognition (ASR) the non-linear data projection provided by a one hidden layer Multilayer Perceptron (MLP), trained to recognize phonemes, and has previous experiments to provide feature enhancement substantially increased ASR performance, especially in noise. Previous attempts to apply an analogous approach to speaker identification have not succeeded in improving performance, except by combining MLP processed features with other features. We present test results for the TIMIT database which show that the advantage of MLP preprocessing for open set speaker identification increases with the number of speakers used to train the MLP and that improved identification is obtained as this number increases beyond sixty. We also present a method for selecting the speakers used for MLP training which further improves identification performance.
Mapping of Candidate Genes for Nitrogen Uptake and Utilization in Japonica Rice at Seedling Stage

Nitrogen (N) is one of the essential nutrients for the growth and development of crops. The adequate application of N not only increases the yield of crops but also improves the quality of agricultural products, but the excessive application of N can cause many adverse effects on ecology and the environment. In this study, genome-wide association analysis (GWAS) was performed under low- and high-N conditions based on 788,396 SNPs and phenotypic traits relevant to N uptake and utilization (N content and N accumulation). A total of 75 QTLs were obtained using GWAS, which contained 811 genes. Of 811 genes, 281 genes showed different haplotypes, and 40 genes had significant phenotypic differences among different haplotypes. Of these 40 genes, 5 differentially expressed genes (Os01g0159250, Os02g0618200, Os02g0618400, Os02g0630300, and Os06g0619000) were finally identified as the more valuable candidate genes based on the transcriptome data sequenced from Longjing31 (low-N-tolerant variety) and Songjing 10 (low-N-sensitive variety) under low- and high-N treatments. These new findings enrich the genetic resources for N uptake and utilization in rice, as well as lay a theoretical foundation for improving the efficiency of N uptake and utilization in rice.
Development of an in vitro model of peri-implantitis

Introduction Peri-implantitis is a bacterially induced inflammatory reaction surrounding dental implants leading to loss of supporting bone. Microbial biofilm development seems to play an important role in altering the biocompatibility of the implant surface leading to loss of the implant. Aims The aim of this study was to develop an in vitro model of peri-implantitis. Material and Methods Microcosm biofilms were grown on titanium discs in a constant depth film fermentor (CDFF). Artificial saliva and peri-implant sulcular fluid (PISF) were delivered to simulate three communities associated with dental implants (health, peri-implant mucositis and peri-implantitis). The intact biofilms were visualised by confocal laser scanning microscope (CLSM) at different time points. Biofilms were cultured on non-selective and selective media. PCR-cloning and comparative sequencing of the 16S rRNA gene was carried out to determine bacterial richness. To quantify bacterial species, multiplex qPCR was used for a range of important oral species; qPCR probes were designed, tested and used to quantify Capnocytophaga in the communities. Evaluation of current and novel treatment modalities, to eliminate the microcosm biofilm, on commercial titanium surfaces (polished, SLA and SLActive surfaces) was carried out. Furthermore, novel antimicrobial surfaces were prepared and initial biofilm formation assessed by cultural analysis and CLSM. Results The biofilms shifted from coccid dense communities, to those dominated by rods and long filaments. The clones shifted from healthy to mixed pathogens. The qPCR revealed significant differences between a healthy and disease conditions. The combined treatment (mechanical and chemical) revealed the greatest reduction of biofilm on all surfaces tested. The antibacterial surfaces showed promotion towards a healthy community on old mature biofilm. Discussion/Conclusion The CDFF allowed successful growth of microbial communities and the ability to monitor the bacterial shifts between three communities associated with dental implants. In addition, it has allowed the testing of a range of titanium surfaces and treatment modalities. This model will allow further understanding of the microbiology of peri-implantitis and provide appropriate biofilm communities for testing surfaces infection and treatments.
Autophagy and Symbiosis: Membranes, ER, and Speculations

The interaction of plants and soil bacteria rhizobia leads to the formation of root nodule symbiosis. The intracellular form of rhizobia, the symbiosomes, are able to perform the nitrogen fixation by converting atmospheric dinitrogen into ammonia, which is available for plants. The symbiosis involves the resource sharing between two partners, but this exchange does not include equivalence, which can lead to resource scarcity and stress responses of one of the partners. In this review, we analyze the possible involvement of the autophagy pathway in the process of the maintenance of the nitrogen-fixing bacteria intracellular colony and the changes in the endomembrane system of the host cell. According to in silico expression analysis, ATG genes of all groups were expressed in the root nodule, and the expression was developmental zone dependent. The analysis of expression of genes involved in the response to carbon or nitrogen deficiency has shown a suboptimal access to sugars and nitrogen in the nodule tissue. The upregulation of several ER stress genes was also detected. Hence, the root nodule cells are under heavy bacterial infection, carbon deprivation, and insufficient nitrogen supply, making nodule cells prone to autophagy. We speculate that the membrane formation around the intracellular rhizobia may be quite similar to the phagophore formation, and the induction of autophagy and ER stress are essential to the success of this process.
Exploring the Potential of Model-Free Reinforcement Learning using Tsetlin Machines

This paper aims to investigate the potential of model-free reinforcement learning using the Tsetlin Machine by evaluating its performance in widely recognized benchmark environments for reinforcement learning: Cartpole and Pong. Our study is divided into two primary objectives. First, we analyze the effectiveness of the Tsetlin Machine in learning from the actions of expert agents in the Cartpole environment. Second, we assess the ability of the multiclass Tsetlin Machine to learn to play both Cartpole and Pong environments from scratch.Our findings indicate that the Tsetlin Machine can successfully learn and solve the Cartpole environment. Although the Pong environment remains unsolved, the Tsetlin Machine demonstrates its learning capabilities by scoring a few points in multiple test runs. Through our empirical investigation, we conclude that the Tsetlin Machine exhibits promise in the field of reinforcement learning. Nonetheless, further research is needed to address the limitations observed in its performance in some of the examined environments.
Factors Driving the Use of Video on Demand (VoD)

The purpose of this research is to investigate the factors that influence the current and future use of VoD applications. The factors investigated based on perceived value are ease of use, convenience value, monetary value, emotional value, social value and identity salience. In addition, predictions are made on the factors of user value in understanding the use of VoD. The research design uses a survey of users who subscribe to VoD services in Jabodetabek. The target sample is 300 VoD users. The data analysis method uses the partial least square-structural equation modeling (PLS-SEM).
AI Based Voice Assisted Object Recognition for Visually Impaired Society

Blind individuals face the significant challenge of not being able to clearly identify objects in their environment, relying heavily on their other senses to navigate the world. The absence of sight limits their ability to independently experience and understand the physical world around them. To address this fundamental issue, we propose the development of a voice-assisted application that aims to provide technical support and assistance to blind individuals through their smartphones. Unlike existing methods that often require in-person assistance, our application seeks to bridge the gap in the visually impaired community’s access to information and independence, leveraging current technological advancements. Our object detection model system combines multiple components, including optical character recognition and object and human recognition utilizing obstacle detection sensors. When the smartphone’s camera captures an image, it is then processed through a dataset that we have curated. The processing involves a matching process using the K-nearest neighbor algorithm in machine learning to identify and provide information about the objects and people within the image. This comprehensive approach not only aids in object identification but also enhances the user’s understanding of their surroundings. The primary goal of this application is to empower blind individuals to lead more independent lives. By providing real-time information about their environment, it equips them with the tools they need to make informed decisions and navigate the world with greater confidence. Ultimately, our voice-assisted application represents a significant step toward breaking down the barriers faced by the blind community, leveraging technology to enhance their quality of life and foster greater autonomy.
SPACE PATTERN OF FOREST SPECIES AND ITS RELATIONSHIP WITH AGRICULTURAL FACTORS AGROFLORESTAL SYSTEM

The objective of this work was to describe the spatial distribution pattern of the arboreal and regenerating forest stratum and its relationship with edaphic factors in a multistratified agroforestry system without management. The data were obtained by means of a census of the arboreal and regenerating plants, in which the variables diameter were measured at 1.30m of the soil and total height, besides the botanical identification. The plants of the arboreal stratum were grouped in diameter and height classes and the regenerating plants in height classes. In both strata, the horizontal structure indicators were estimated and the species of higher Importance Value Index (IVI) were selected to perform the spatial analysis. The K Ripley function was applied in the univariate case to test the hypothesis of complete randomness in the groups and in the arboreal and regenerating species of higher IVI. In the bivariate case, the Ripley K function was applied to test the hypothesis of complete spatial independence between groups or aggregate pattern species, with edaphic attributes. The results indicated random spatial pattern for most of the tested groups, with only the species Gliricidia sepium and Archontophoenix alexandrae with aggregate spatial pattern, up to 30m distance, in the arboreal and regenerating strata, respectively. However, no spatial relationship was observed between the pattern of distribution of the species and the soil factors of agroforestry system (SAF). In general, it is concluded that edaphic factors were fundamental in the development of plants, but not for the formation of aggregates
Creating a Security Enforcement Environment for a Vehicular Platform

The ever-increasing complexity of automotive platforms combined with the introduction of commercial off-the-shelf software components (e.g., for the entertainment system) creates multiple attack vectors that adversaries can leverage to attack the platform. Traditional analysis techniques have difficulty dealing with such complex environments, especially considering the need for low-cost solutions. Hence, we propose in this paper to turn the logic around, and instead of trying to discover all possible vulnerabilities, we monitor the execution of a software system to ensure that it does not deviate from its nominal profile. In this paper, we demonstrate a technique for creating a state model mapping the execution of a system, and then by observing its interaction with the runtime environment through its invocation of various library functions, we can ensure that off-nominal behavior can be detected and acted upon. The valuation results provide further evidence of the wrapper mechanism’s effectiveness and highlight its potential to enhance security while minimizing the impact on performance.
Advanced Diagnostic and Therapeutic Endoscopy for Early Gastric Cancer

Simple Summary Advances in gastric cancer screening and endoscopic technology have made it possible to detect and treat gastric cancer at an early stage. As a result, about 40% of all gastric cancers have now been resected via endoscopic treatment in Japan. In endoscopic diagnosis, magnifying endoscopic observation using band-limited light such as narrow-band imaging (NBI) has significantly improved the accuracy of gastric cancer diagnosis. At the same time, in endoscopic treatment, endoscopic submucosal dissection (ESD) has contributed to notably increasing the number of gastric cancers that can be resected endoscopically. In recent years, the construction of algorithms for endoscopic diagnosis and treatment with a view to personalized medicine has been explored, and the use of endoscopy for gastric cancer management is expected to develop further in the future. Abstract Endoscopy is mandatory to detect early gastric cancer (EGC). When considering the cost-effectiveness of the endoscopic screening of EGC, risk stratification by combining serum pepsinogen values and anti-H. pylori IgG antibody values is very promising. After the detection of suspicious lesions of EGC, a detailed observation using magnifying endoscopy with band-limited light is necessary, which reveals an irregular microsurface and/or an irregular microvascular pattern with demarcation lines in the case of cancerous lesions. Endocytoscopy enables us to make an in vivo histological diagnosis. In terms of the indications for endoscopic resection, the likelihood of lymph node metastasis and technical difficulties in en bloc resection is considered, and they are divided into absolute, expanded, and relative indications. Endoscopic mucosal resection and endoscopic submucosal dissection are the main treatment modalities nowadays. After endoscopic resection, curability is evaluated histologically as endoscopic curability (eCura) A, B, and C (C-1 and C-2). Recent evidence suggests that the outcomes of endoscopic resection for many EGCs are comparable to those of gastrectomy and that endoscopic resection is the gold standard for node-negative early gastric cancers. Personalized medicine is also being developed to overcome the unmet needs in treatments of EGC, for example the further expansion of indications and newer resection techniques, such as full-thickness resection.
Computed tomographic angiography measures of coronary plaque in clinical trials: opportunities and considerations to accelerate drug translation

Atherosclerotic coronary artery disease (CAD) is the causal pathological process driving most major adverse cardiovascular events (MACE) worldwide. The complex development of atherosclerosis manifests as intimal plaque which occurs in the presence or absence of traditional risk factors. There are numerous effective medications for modifying CAD but new pharmacologic therapies require increasingly large and expensive cardiovascular outcome trials to assess their potential impact on MACE and to obtain regulatory approval. For many disease areas, nearly a half of drugs are approved by the U.S. Food & Drug Administration based on beneficial effects on surrogate endpoints. For cardiovascular disease, only low-density lipoprotein cholesterol and blood pressure are approved as surrogates for cardiovascular disease. Valid surrogates of CAD are urgently needed to facilitate robust evaluation of novel, beneficial treatments and inspire investment. Fortunately, advances in non-invasive imaging offer new opportunity for accelerating CAD drug development. Coronary computed tomography angiography (CCTA) is the most advanced candidate, with the ability to measure accurately and reproducibly characterize the underlying causal disease itself. Indeed, favourable changes in plaque burden have been shown to be associated with improved outcomes, and CCTA may have a unique role as an effective surrogate endpoint for therapies that are designed to improve CAD outcomes. CCTA also has the potential to de-risk clinical endpoint-based trials both financially and by enrichment of participants at higher likelihood of MACE. Furthermore, total non-calcified, and high-risk plaque volume, and their change over time, provide a causally linked measure of coronary artery disease which is inextricably linked to MACE, and represents a robust surrogate imaging biomarker with potential to be endorsed by regulatory authorities. Global consensus on specific imaging endpoints and protocols for optimal clinical trial design is essential as we work towards a rigorous, sustainable and staged pathway for new CAD therapies.
PENGARUH PERCEIVED EASE OF USE DAN PERCEIVED USEFULNESS TERHADAP MINAT PENGGUNAAN QRIS PADA MERCHANT DI LOMBOK EPICENTRUM MALL

This study aims to determine the effect of perceived ease of use and perceived usefulness on interest in using QRIS on merchant at Lombok Epicentrum Mall. This study used an associative quantitative approach. This study used primary data taken from 131 respondents. The results showed that simultaneously the variables perceived ease of use and perceived usefulness had a positive and significant effect on the interest in using QRIS at merchants in Lombok Epicentrum Mal. Partially, the perceived ease of use variable and perceived usefulness has a positive and significant effect on the interest in using QRIS at merchants in Lombok Epicentrum Mall
Towards Effective Targeted Alpha Therapy for Neuroendocrine Tumours: A Review

This review article explores the evolving landscape of Molecular Radiotherapy (MRT), emphasizing Peptide Receptor Radionuclide Therapy (PRRT) for neuroendocrine tumours (NETs). The primary focus is on the transition from β-emitting radiopharmaceuticals to α-emitting agents in PRRT, offering a critical analysis of the radiobiological basis, clinical applications, and ongoing developments in Targeted Alpha Therapy (TAT). Through an extensive literature review, the article delves into the mechanisms and effectiveness of PRRT in targeting somatostatin subtype 2 receptors, highlighting both its successes and limitations. The discussion extends to the emerging paradigm of TAT, underlining its higher potency and specificity with α-particle emissions, which promise enhanced therapeutic efficacy and reduced toxicity. The review critically evaluates preclinical and clinical data, emphasizing the need for standardised dosimetry and a deeper understanding of the dose-response relationship in TAT. The review concludes by underscoring the significant potential of TAT in treating SSTR2-overexpressing cancers, especially in patients refractory to β-PRRT, while also acknowledging the current challenges and the necessity for further research to optimize treatment protocols.
Compound Microalgae-Type Biofunctional Hydrogel for Wound Repair during Full-Thickness Skin Injuries

A dual biofunctional hydrogel (HQCS-SP) wound dressing, offering antibacterial properties and a biological response, was innovatively designed and developed to repair full-layer skin defects. The HQCS-SP hydrogel creates an artificial matrix that facilitates cell recruitment, extracellular matrix deposition, exhibiting exceptional tissue affinity, robust self-healing, effective hemostatic capabilities and accelerates wound healing. It is synthesized by crosslinking modified chitosan (HQCS) with spirulina protein (SP) and Fe3+. The HQCS provides antibacterial, antioxidant, good tissue affinity and excellent hemostasis performance. The incorporation of SP not only reinforces the antioxidant, antibacterial, anti-inflammatory, and pro-angiogenesis effects but also participates in the regulation of signal pathways and promotes wound healing. Therefore, this study offers a new visual angle for the design of advanced functional trauma dressings with great application potential in the bio-medical field.