Miracle-dz/UniFAR-FTUs huggingface dataset:
COSO’s Conceptual Framework to Internal Control Management Risk in Higher Education Management

Ministry of Research, Technology and Higher Education of the Republic of Indonesia (Kemenristekdikti) establish five elements to conduct economic growth and country competitiveness in industry revolution 4.0 through the integration of university governance to academic behavior. Kemenristekdikti synergize the gap between the high tech digitalization era and higher education with external quality assurance system (SPME) and internal quality assurance system (SPMI) policy. UPY conducts internal evaluation using Internal external matrix analysis (IE Matrix) to strengthen up the management and governance. The result is that UPY needs intensive and stable program implementation to achieve the whole key performance indicator. This study is qualitative research and conduct with a case study in UPY using COSO‘s Framework conduct risk management and internal control in UPY. This study adopts three stages to conduct case study research. The result can be used and as a reference to the other Higher Education (University) in the same quadrants with UPY (B Institution Accredited by BAN PT). This study suggests that COSO Framework implementation that integrated with Internal Quality This study suggests that COSO Framework implementation that integrated with Internal Quality Assurance can enhance Higher Education performance from internal control, risk assessment, and effective monitoring process.
Detection and genetic characterization of an 1 avipox virus isolate from domestic pigeon 2 ( Columba livia domestica ) in Morogoro region , 3 Eastern Tanzania 4 5

5 S. N. Masola *, A. Mzula , E. D. Mwega, C. J. Kasanga 2 and P. N. 6 Wambura 2 7 8 Tanzania Livestock Research Institute, P. O. Box 202, Mpwapwa, Tanzania. 9 Department of Veterinary Microbiology and Parasitology, Sokoine University of Agriculture, 10 P. O. Box 3019, Morogoro, Tanzania. 11 12 13 14 . 15 ABSTRACT 16 17 Aim: To determine molecular and evolutionary characteristics of a newly isolated the Tanzanian isolates of pigeonpox virus (PGPV) currently occurring in the country. Study design: Experimental. Place and Duration of Study: Faculty of Veterinary Medicine, Sokoine University of Agriculture, Morogoro, Tanzania; between November 2011 and May 2014. Methodology: Samples of cutaneous nodular lesions were collected from 17 pigeons suspected to have pigeonpox in Morogoro (n = 11), Pwani (n = 2) and Dar es Salaam (n = 4) regions; followed by virus isolation, and ,confirmation by DNA extraction, polymerase chain reaction (PCR) amplification and sequencing of the P4b gene, gel electrophoresis of PCR products, purification of a selected PCR product, sequencing of a purified PCR product,. Further the sequence was phylogenetically analyzed for its evolutionary relationship with other related viruses. and analysis of the sequence data using standard procedures. Results: PGPV was detected in two samples, both from Morogoro region. Sequence analysis revealed that the Tanzanian PGPV isolate derived in this study was 90 – 99% identical to several avipoxvirus isolates from birds belonging to different species from several countries; for instance the Tanzanian PGPV isolate was 91% identical to each of the Tanzanian fowlpox virus isolates derived in the previous study, and 99% identical to all three PGPV isolates whose sequences were obtained in the GenBank i.e PGPV isolates from India (accession number DQ873811), Egypt (accession number JQ665840) and a PGPV (accession number AY530303) whose country of origin is unknown. Phylogenetic analysis revealed that the Tanzanian PGPV isolate belongs to clade A in subclade A2, sharing a recent common ancestor with members of subclade A3. Conclusion: Currently, pigeonpox virus is circulating occurs in Morogoro region. However, these findings don't rule out the disease in Pwani and Dar es Salaam regions because few samples were examined from these regions. The present study warrants the further surveillance/ molecular epidemiology of Detection and characterization of PGPV isolates in other regions is highly recommended in order to establish the genetic diversity (if any) of PGPV occurring in Tanzania in a large-scale.
Empirical studies of escape behavior find mixed support for the race for life model

Abstract Escape theory has been exceptionally successful in conceptualizing and accurately predicting effects of numerous factors that affect predation risk and explaining variation in flight initiation distance (FID; predator–prey distance when escape begins). Less explored is the relative orientation of an approaching predator, prey, and its eventual refuge. The relationship between an approaching threat and its refuge can be expressed as an angle we call the “interpath angle” or “Φ,” which describes the angle between the paths of predator and prey to the prey’s refuge and thus expresses the degree to which prey must run toward an approaching predator. In general, we might expect that prey would escape at greater distances if they must flee toward a predator to reach its burrow. The “race for life” model makes formal predictions about how Φ should affect FID. We evaluated the model by studying escape decisions in yellow-bellied marmots Marmota flaviventer, a species which flees to burrows. We found support for some of the model’s predictions, yet the relationship between Φ and FID was less clear. Marmots may not assess Φ in a continuous fashion; but we found that binning angle into 4 45° bins explained a similar amount of variation as models that analyzed angle continuously. Future studies of Φ, especially those that focus on how different species perceive relative orientation, will likely enhance our understanding of its importance in flight decisions.
THE FLUORINE DESTRUCTION IN STARS: FIRST EXPERIMENTAL STUDY OF THE 19 F(p,α 0 ) 16 O REACTION AT ASTROPHYSICAL ENERGIES

The 19F(p, α)16O reaction is an important fluorine destruction channel in the proton-rich outer layers of asymptotic giant branch (AGB) stars and it might also play a role in hydrogen-deficient post-AGB star nucleosynthesis. So far, available direct measurements do not reach the energy region of astrophysical interest (Ecm 300 keV), because of the hindrance effect of the Coulomb barrier. The Trojan Horse (TH) method was thus used to access this energy region, by extracting the quasi-free contribution to the 2H(19F, α16O)n and the 19F(3He, α16O)d reactions. The TH measurement of the α0 channel shows the presence of resonant structures not observed before, which cause an increase of the reaction rate at astrophysical temperatures up to a factor of 1.7, with potential consequences for stellar nucleosynthesis.
Comparative analysis of biofilm formation by Candida albicans and Candida krusei in different types of contact lenses.

OBJECTIVE To evaluate the Candida krusei and Candida albicans biofilm formation abilities on 5 different types of contact lenses and compare their metabolic activities and biomass. METHODS After biofilm formation by both the test species, their metabolic activity was assessed by the 2,3-bis (2-methoxy-4-nitro-5-sulfophenyl)-2H-tetrazolium-5-carboxanilide reduction assay with menadione, while the biomass was determined by staining with 0.4% crystal violet dye for further statistical analysis. RESULTS Both the Candida species could form biofilms on different types of contact lenses, with greater metabolic activities and lower biomass formation in rigid gas permeable lenses. CONCLUSION Biofilm formation with greater metabolic activity and greater biomass were expected on soft contact lenses considering their surface hydrophobicity. However, the results demonstrated a greater metabolic activity on rigid contact lenses. This result has a great significance with regards to the increasing risk of microbial keratitis, although further studies are warranted to better elucidate the formation of biofilms on different types of contact lens materials in the future.
Quantification of amyloid deposits and oxygen extraction fraction in the brain with multispectral optoacoustic imaging in arcAβ mouse model of Alzheimer's disease

Beta-amyloid (Aβ) deposition and vascular dysfunction are important contributors to the pathogenesis in Alzheimer’s disease (AD). However, the spatio-temporal relationship between an altered oxygen metabolism and Aβ deposition in the brain remains elusive. Here we provide novel in-vivo estimates of brain Aβ load with Aβ-binding probe CRANAD-2 and measures of brain oxygen saturation by using multi-spectral optoacoustic imaging (MSOT) and perfusion imaging with magnetic resonance imaging (MRI) in arcAβ mouse models of AD. We demonstrated a decreased cerebral blood flow (CBF) and cerebral metabolic rate of oxygen (CMRO2) in the cortical region of the arcAβ mice compared to wildtype littermates at 24 months. In addition, we showed proof-of-concept for the detection of cerebral Aβ deposits in brain from arcAβ mice compared to wild-type littermates.
EEG Mapping Aural Stimulation

This study of musical neuroscience sought to map out and characterize the changes in electroencephalographic signals (EEG) experienced by 54 volunteers, both non-musicians (NM, 30) and musicians (M, 24), when submitted to aural stimuli (EA), with the aim of developing procedures useful for neuromodulation. We set out to verify whether those EA monaural (EAM), binaural (EAB), simple, complex, or musical in nature provoked changes in the emotional and cognitive states that could point to different auditory perceptions. Through the use of the EEG technique, it was possible to register, characterize and map out the changes in cerebral rhythms. Through the application of a percentual parameter named «variation in stimulus-antestimulus» (VEA), it was possible to statistically analyse the changes in the brainwaves caused by the EA. NM and M perceived the EA distinctly. It was observed how specific values both in the carrier frequency (FP) and the beat frequency (FB) of EAM and EAB distinctly influenced the EEG registered among the two groups, inducing different mental states. Complex EAB provoked different and complex patterns in the EEG. The human brain discriminates among different levels of musical complexity, distinguishing between non-musical and musical sounds. M was more reactive to the EA. NM applied a greater procedural cognitive investment in order to interpret the EA. Maps for the EA capable of provoking EEG changes in the scalp were created. These results are relevant for the improvement of cognitive performance, and may be useful in the treatment of neurological and psychiatric disorders.
Morphological characterization of the Reticulate Knifefish Papyrocranus afer (Gunther 1868) from Lekki Lagoon

Morphological discreteness of Papyrocranus afer was studied using truss morphometric measurements utilizing 8 landmarks corresponding to 16 distances on the body, 14 traditional morphometric characters, 10 meristic counts and form factor to ascertain the population characteristics in Lekki Lagoon. Sample (n=1,156) for the study ranged from 5.2 – 75.9 cm total length and weighed 10.9 1958.4 g. Two Principal Components (PC) were extracted from Principal Component Analysis both accounting for 82.81% of total variance in size-corrected truss morphometric variables. The PC1 showed high loading (72.8%) for measurements on the posterior region of the fish, while PC2 showed low loadings (9.1%) for variables in the head region. The lower variation accounted for by PC2 suggests conserved variables that could be of taxonomic importance in this species. Form factor of males and females (0.001) confirmed eel-like body form for P. afer in Lekki Lagoon.
Diﬀerential Gene Expression Analysis (DGE)

The best performing tools tend to be edgeR (Robinson et al., 2010), DESeq/DESeq2 (Anders and Huber, 2010; Love et al., 2014), and limma-voom (Ritchie et al., 2015) (see Rapaport et al. (2013); Soneson and Delorenzi (2013); Schurch et al. (2015) for reviews of DGE tools). DESeq and limma-voom tend to be more conservative than edgeR (better control of false positives), but edgeR is recommended for experiments with fewer than 12 replicates (Schurch et al., 2015). These tools are all based on the R language and make heavy use of numerous statistical methods that have been developed and implemented over the past two decades to improve the power to detect robust changes based on extremely small numbers of replicates and to help deal with the quirks of integer count data. These tools basically follow the same approach, i.e., they estimate the gene expression difference for a given gene using regression-based models (and taking the factors discussed during the session on normalization into account), followed by a statistical test based on the null hypothesis that the difference is close to zero, which would mean that there is no difference in the gene expression values that could be explained by the conditions. Table 1 has a summary of the key properties of the most popular DGE tools; the next two sections will explain some more details of the two key steps of the DGE analyses.
Learning to Race in New Environments

—This paper presents an ablation study of the generalization performance of navigation policies in the context of autonomous drone racing. The approach extends on our previous conference work presented at the conference on robotic learning (CoRL) 2018. While our previous approach performed very well in known environments, the performance dropped signiﬁcantly when the appearance of the environment changed compared to the one seen at training time. To overcome this challenge, we randomize the appearance of both the background and the gates during data generation in simulation. We show successful knowledge transfer to new simulated environments and identify the most important factors needed for successful transfer. Furthermore, we perform a neural architecture search to identify the network with the optimal accuracy/inference time trade-off.
Study on the intention to choose recycled water based on consumption value theory

Recycled water is an effective way to rescue water shortage and serious water pollution. Public acceptance of recycled water is the key factor for the implementation of a recycled water project. Therefore, based on the theory of consumption value, this study chooses the functional value quality, functional value price, social value and emotional value as the independent variables, and choice behavior in recycled water as the dependent variable. By using the partial least squares method, 466 questionnaires collected from Xi’an are used to analyze the influence of different values on choice behavior, and to explore the mediating role of emotional value between other values and choice behavior. The results show that: functional value price, social value and emotional value promote the public’s choice of recycled water; functional value quality, functional value price and social value have a significant impact on the emotional value. In addition, the research finds that emotional value plays an intermediary role in the functional value quality, social value and choice behavior. Finally, the guiding role of different consumption values on recycled water selection behavior is verified.
Numerical Analysis of Shaped Charge Jet Penetration into Discrete Concrete Targets Using LS-DYNA and ANSYS-AUTODYN

Discrete concrete targets show more resistance to penetration against shaped charges. The purpose of this study is to simulate the penetration of shaped charge in discrete concrete targets using LS-DYNA and ANSYSAUTODYN and compare the results. For this purpose, the simulation process for one of the experimental results is performed and the results obtained from both software are validated. Finally, the results of two software in the fields of jet velocity, penetration depth, entry diameters, middle and exit crater, and run time are compared. Application of the ALE method for jet elements and the RHT concrete model to simulate the concrete behavior at high strain rates yielded good results. Differences in numerical solution method and command differences in the interaction of the Lagrangian and Eulerian elements in two software caused the depth of penetration in ANSYS-AUTODYN to be less than the LS-DYNA and the diameters of entry, middle and exit crater in ANSYS-AUTODYN become larger than the LS-DYNA and closer to the experimental results. The results of the two software are in good agreement with the experimental results. Continuous concrete was also simulated and it was found that the penetration depth of discrete concrete was lower than continuous
A Capacity-Elastic Cuckoo Filter Design for Dynamic Set Representation

The emergence of large-scale dynamic sets in networked and distributed applications attaches stringent requirements to approximate set representation. The existing data structures (including Bloom filter, Cuckoo filter, and their variants) preserve a tight dependency between the cells or buckets for an element and the lengths of the filters. This dependency, however, degrades the capacity elasticity, space efficiency and design flexibility of these data structures when representing dynamic sets. In this paper, we first propose the Index-Independent Cuckoo filter (I2CF), a probabilistic data structure that decouples the dependency between the length of the filter and the indices of buckets which store the information of elements. At its core, an I2CF maintains a consistent hash ring to assign buckets to the elements and generalizes the Cuckoo filter by providing optional ${k}$ candidate buckets to each element. By adding and removing buckets adaptively, I2CF supports the bucket-level capacity alteration for dynamic set representation. Moreover, in case of a sudden increase or decrease of set cardinality, we further organize multiple I2CFs as a Consistent Cuckoo filter (CCF) to provide the filter-level capacity elasticity. By adding untapped I2CFs or merging under-utilized I2CFs, CCF is capable of resizing its capacity instantly. The trace-driven experiments indicate that CCF outperforms its alternatives and realizes our design rationales for dynamic set representation simultaneously, at the cost of a little higher complexity.
Using a Recurrent Neural Network and Articulatory Synthesis to Accurately Model Speech Output

The performance of text-to-speech programs is vital to the adoption of emerging technologies such as virtual assistants and interactive computer systems. However, current systems leave much to be desired. This research aims to construct a text-to-speech sys-tem using articulatory synthesis and a recurrent neural network to more accurately model human speech. Some of the aspects of speech of interest to improve upon are prosodic components, enunciation, and pleasantness to listen to. Previously, an articulatory synthesis text-to-speech system has not been feasible due to the complexity of such a system. A human vocal tract simulator must model the frequency and intensity of the glottal sound wave, as well as the perturbations caused by the vocal tract and nasal pathway. It must also model how the vocal tract changes in diameter, area and length at multiple locations. A neural network is well suited to providing these many inputs to a speech synthesizer at a rapid rate. A recurrent neural network is also capable of responding to context dependent prosodic and linguistic issues. In this research two different methods of articulatory synthesis were tested with a recurrent neural network to generate the inputs. The results show that these types of networks are capable of learning how to generate the parameters for speech.
ANTIBACTERIAL ACTIVITY OF METHANOLIC EXTRACT OF Plumeria acuminata STEMBARK AGAINST Escherichia coli AND Staphylococcus aureus Aktivitas Antibakteri Ekstrak Metanol Kulit Batang Kamboja (Plumeria acuminata) Terhadap Escherichia coli dan Staphylococcus aur

ABSTRACT Infectious disease is one of health problem in Indonesia. It is caused by bacteria such as Escherichia coli and Staphylococcus aureus. One of potential plant as antibacterial is Plumeria acuminata (Kamboja). The aim of this study is to identify the phytochemical contents and to examine antibacterial activity against E. coli and S. aureus from methanolic extract of P. acuminata stembark (MEPAS). The stembark of P. acuminata was macerated by methanol for 3x24 hours and then identified for phytochemical compound by Thin Layer Chromatography. Antibacterial assay was done by Kirby-Bauer method using four treatment groups, negative control (media), and cefotaxime as positive control. The inhibition zone was analyzed by probit analysis to obtain the IC50 value. The results showed that MEPAS contained alkaloid, terpenoid, flavonoid, and saponin. The IC50 value of MEPAS against E.coli and S. aureus was 2,325 ppm and 1,800 ppm, respectively. In the same concentration, the positive control showed more active than the extract.Keywords: Plumeria acuminata, antibacterial, Escherichia coli, Staphylococcus aureus. ABSTRAK Penyakit infeksi merupakan salah satu masalah kesehatan di Indonesia. Hal ini disebabkan oleh bakteri seperti Escherichia coli dan Staphylococcus aureus. Salah satu tanaman berpotensi sebagai antibakteri adalah Plumeria acuminata (Kamboja). Tujuan dari penelitian ini adalah untuk mengidentifikasi kandungan fitokimia dan untuk mengetahui aktivitas antibakteri terhadap E. coli dan S. aureus dari ekstrak metanol kulit batang P. acuminata (MEPAS). Kulit batang P. acuminata dimaserasi dengan metanol selama 3x24 jam dan kemudian diidentifikasi kandungan fitokimia menggunakan kromatografi lapis tipis. Uji antibakteri dilakukan dengan metode difusi Kirby-Bauer menggunakan empat kelompok perlakuan, kontrol negatif (media) dan sefotaksim sebagai kontrol positif. Zona hambat dianalisis dengan analisis probit untuk mendapatkan nilai IC50. Hasil penelitian menunjukkan bahwa MEPAS terdapat alkaloid, terpenoid, flavonoid, dan saponin. Nilai IC50 MEPAS terhadap E. coli dan S. aureus adalah 2.325 ppm dan 1.800 ppm. Pada konsentrasi yang sama, kontrol positif menunjukkan lebih aktif daripada ekstrak
Continuous Theta Burst Stimulation to the Secondary Visual Cortex at 80% Active Motor Threshold Does Not Impair Central Vision in Humans During a Simple Detection Task

Continuous theta burst stimulation (cTBS) is a powerful form of repetitive transcranial magnetic stimulation capable of suppressing cortical excitability for up to 50 min. A growing number of studies have applied cTBS to the visual cortex in human subjects to investigate the neural dynamics of visual processing, but few have specifically examined its effects on central vision, which has crucial implications for safety and inference on downstream cognitive effects. The present study assessed the safety of offline, neuronavigated cTBS to V2 by examining its effects on central vision performance. In this single-blind, randomized sham-controlled, crossover study, 17 healthy adults received cTBS (at 80% active motor threshold) and sham to V2 1–2 weeks apart. Their central vision (≤8°) was tested at 1-min (T1) and again at 50-min (T50) post-stimulation. Effects of condition (cTBS vs. sham) and time (T1 vs. T50) on accuracy and reaction time were examined using Bayes factor. Bayes factor results suggested that cTBS did not impair stimulus detection over the entire central visual field nor subfields at T1 or T50. Our results offer the first explicit evidence supporting that cTBS applied to V2 does not create blind spots in the central visual field in humans during a simple detection task. Any subtler changes to vision and downstream visual perception should be investigated in future studies.