Miracle-dz/UniFAR-FTUs huggingface dataset:
Brain Tissue Classification to Detect Focal Cortical Dysplasia in Magnetic Resonance Imaging

Focal cortical dysplasia (FCD) is a local malformation of the cortex, the main cause of refractory epilepsy in childhood and one of the most common causes in adults. The surgery decision and planning depend on the FCD localization. Although recent studies have successfully detected FCD through artificial intelligence, no study investigates the relevance and prevalence of cortical features on FCD identification and the performance of different machine learning techniques. In this study, the proposed method constructed a voxel-based set of features, e.g., texture measure, border definition, cortical thickness. Resumo. A displasia cortical focal (CDF) é uma malformação local do córtex, a principal causa de epilepsia refratária na infância e uma das causas mais comuns em adultos. A decisão e o planejamento da cirurgia dependem da localização do FCD. Embora estudos recentes tenham detectado com sucesso o FCD por meio da inteligência artificial, nenhum estudo investiga a relevância e a prevalência de características corticais na identificação do FCD e no desempenho de diferentes técnicas de aprendizado de máquina. Neste estudo, o método proposto construiu um conjunto de recursos baseados em voxel, por exemplo, medida de textura, definição de borda, espessura cortical.
Ethiopian managers’ corporate social responsibility perceptions: Demographics and personal ethical values as predictors

Top managers are recognized as important forces in fostering the spread of ethical spirits and responsible behaviors in organizations. The purpose of this paper is to explore the impact of personal ethical values and demographics (age, gender, and education level) on top managers’ CSR perceptions in Ethiopia. A quantitative approach involving a structured questionnaire was used to collect data from 294 executive managers of four sectors (floriculture, food, textile, and banks). Multiple linear regressions were employed to analyze the data. The analysis revealed that while some personal demographics, i.e., age and educational level had no impact on Ethiopian managers’ CSR perception, gender was positively and significantly correlated with managers’ CSR perception. Additionally, the analysis indicated that managers’ personal moral values had significantly influenced Ethiopian managers’ CSR perception. © 2020 by the authors. Licensee SSBFNET, Istanbul, Turkey. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Moderating Role of Religiosity in the Relationship between Occupational Stress and Marital Satisfaction in Female Nurses

Introduction umerous studies have been conducted about the positive psychological effects of communication with God and religiosity on the reduction of and coping with stress. According to previous research, religious beliefs affect the perception of stress in various ways and consequently, affect the physical and mental health as well as the lives of individuals (1). Today, occupational stress has become a serious problem for organizations. It endangers the physical and mental health of the employees and also imposes huge costs on these organizations. Occupational stress is known as the most common disease of the century. Medical and paramedical professions are among the most stressful ones due to dealing with human lives, accordingly, stress threatens the physical and mental health of those who work in such professions (2). According to the statistics, the prevalence of occupational stress is high among nurses (3). Given the large number of employees in our society and according to the statistics, the rate of dissatisfaction of N Abstract
FTIR analysis of polyethylene glycol treated bacterial cellulose pellicle

Abstrak. This research identified the effect of additional polyethylene glycol (PEG) in bacterial cellulose made from pineapple peel waste. The produced pellicles were soaked in PEG solution with 0%, 1%, 2.5%, and 5%. Then, they were homogenised using an ultrasonic homogeniser for 15 minutes before dried using the freeze-drying method. The functional groups were observed using FTIR. The functional groups showed the presence of cellulose I and cellulose II at 439.08 cm−1, 2895.15 cm−1, 1963.53 cm−1 1633.71 cm−1, 1315.45 cm−1, 839.03 cm−1 wavenumbers. Additional PEG caused an increase of the C-H bond at 1963.53 cm−1 wave number.
Inoculation of Bacillus cereus enhance phytoremediation efficiency of Pistia stratiotes and Eichhornia crassipes in removing heavy metal Pb

This study investigates the effects of inoculation rhizhosperic microbes namely Bacillus cereus-NMeHI-Cr2 towards the roots of two locally aquatic macrophytes in removing heavy metals Pb from simulated wastewater. Water lettuce (Pistia stratiotes) and water hyacinth (Eichhornia crassipes) were selected in this study due to their absorption capability and acts as biological filters by accumulating heavy metals in their tissue’s bodies. The inoculation of B. cereus-NMeHI-Cr2 onto the roots of P. stratiotes and E. crassipes was conducted in non-continuous horizontal flow (NCHF) reactor with addition of 1.5mg/L of Pb comprising of T2: treatment with inoculation of B. cereus-NMeHI-Cr2, T4: Non inoculation of B. cereus-NMeHI-Cr2 and T6: no plant growth in NCHF reactor (control). After 15 days of cultivation, the treatment integrated with inoculation of B. cereus-NMeHI-Cr2 resulted 83.7% removal efficiency of Pb followed by T4 (70.4%) and T6 (2%) respectively. Furthermore, 63.8 ug/g of Pb was observed in T2 treatment with similar distribution pattern as roots > leaves > stalks in E. crassipes and roots> leaves in P. stratiotes. The physical changes of both plants were also monitored to show any toxicity symptoms experienced as a result of heavy metal Pb. This study validates that the removal of Pb was done via rhizofiltration mechanism as the value of enrichment factor was found below than 1000. The identified plants species with inoculation of Bacillus cereus-NMeHI-Cr2 provides a simple and cost-effective method for application of metal polluted water.
Determination antioxidant activity of Green tea (Camellia sinensis), Thyme (Thymus vulgaris L) and Salvia officinalis (Sage)

The methanolic crude extracts of some commonly used medicinal plants were screened for their free radical scavenging properties using ascorbic acid as standard antioxidant. Free radical scavenging activity was evaluated using 1,1-diphenyl-2-picrylhydrazyl (DPPH) free radical. The overall antioxidant activity of green tea Camellia sinensis, was the strongest, followed in descending order by Thyme (Thymus vulgaris L.) (Salvia officinalis L.) Showed less free radical scavenging activity with the DPPH method. All the methanolic extracts exhibited antioxidant activity significantly. The IC50 of the methanolic extracts ranged between 7.4 ± 0.1 and 14.9 ± 0.2 μg/ml and that of ascorbic acid was 9.8 ± 1 μg/ml. The study reveals that the consumption of these spices would exert several beneficial effects by virtue of their antioxidant activity.
Classifying Organizational Structures on Targets in the Cooperative Target Observation

This paper proposes an approach to classify the organizational structure of a group of moving target agents that are continuously monitored by a smaller group of moving observer agents. The approach considers that the group of target agents can organize themselves according to eight different paradigms. The agents communicate through the exchange of messages whose contents are speech-act performative. We evaluate the approach considering seven techniques to solve the problem of classifying the group of target agents' organizational structure. The results show that the approach is promising, as it obtained a good performance, measured during experiments using agent-based simulations.
Indirect Evergreening Using Related Parties: Evidence From India

Abstract We identify a novel way of evergreening loans in India. A low-quality bank lends to a related party of an insolvent borrower, and the loan recipient transfers the funds to the insolvent borrower using internal capital markets. Incremental investments, interest rates charged, and loan delinquency rates collectively indicate evergreening. These loans are unlikely to represent arm’s length transactions or rescue of troubled related firms by stronger firms to prevent group-wide spillover effects. Indirect evergreening is less likely to be detected by regulatory audits. It has significant real consequences at the firm and industry levels.
Increasing M2(dobdc) Loading in Selective Mixed-Matrix Membranes: A Rubber Toughening Approach

Mixed-matrix membranes (MMMs) were formed by incorporating M2(dobdc) (M = Mg, Ni; dobdc4– = 2,5-dioxido-1,4-benzenedicarboxylate) metal–organic framework (MOF) nanoparticles in a series of poly(ether-imide) copolymers. Addition of the MOF nanoparticles improved the permeability of H2, N2, CH4, and CO2 relative to the pure copolymer by increasing gas solubility and, in most cases, diffusivity. More limited improvements in diffusivity were observed for the more strongly adsorbing gases. Because of such transport considerations, improvements in permeability and selectivity were most pronounced for H2/CH4 and H2/N2 separations. Incorporation of a greater ether content within the copolymers led to the formation of defect-free MMMs by physically sealing polymer–MOF interfacial defects, allowing higher MOF loadings to be achieved. For Mg2(dobdc), selective, defect-free films could be formed with loadings of up to 51 wt %. However, at these high loadings, films became weak and brittle. The mechanical properties o.
Complexity Dichotomy for List-5-Coloring with a Forbidden Induced Subgraph

For a positive integer $r$ and graphs $G$ and $H$, we denote by $G+H$ the disjoint union of $G$ and $H$, and by $rH$ the union of $r$ mutually disjoint copies of $H$. Also, we say $G$ is $H$-free if $H$ is not isomorphic to an induced subgraph of $G$. We use $P_t$ to denote the path on $t$ vertices. For a fixed positive integer $k$, the List-$k$-Coloring Problem is to decide, given a graph $G$ and a list $L(v)\subseteq \{1,\ldots,k\}$ of colors assigned to each vertex $v$ of $G$, whether $G$ admits a proper coloring $\phi$ with $\phi(v)\in L(v)$ for every vertex $v$ of $G$, and the $k$-Coloring Problem is the List-$k$-Coloring Problem restricted to instances with $L(v)=\{1,\ldots, k\}$ for every vertex $v$ of $G$. We prove that for every positive integer $r$, the List-$5$-Coloring Problem restricted to $rP_3$-free graphs can be solved in polynomial time. Together with known results, this gives a complete dichotomy for the complexity of the List-$5$-Coloring Problem restricted to $H$-free graphs: For every graph $H$, assuming P$\neq$NP, the List-$5$-Coloring Problem restricted to $H$-free graphs can be solved in polynomial time if and only if $H$ is an induced subgraph of either $rP_3$ or $P_5+rP_1$ for some positive integer $r$. As a hardness counterpart, we also show that the $k$-Coloring Problem restricted to $rP_4$-free graphs is NP-complete for all $k\geq 5$ and $r\geq 2$.
Patient navigation programs in Alberta, Canada: an environmental scan

Background: Patient navigation is a complex intervention that has garnered substantial interest and investment across Canada. We conducted an environmental scan to understand the landscape of patient navigation programs within the health care system in Alberta, Canada. Methods: We included patient navigation programs within Alberta Health Services (AHS) and Alberta’s Primary Care Networks (PCNs). Key informants were asked in October 2016 to identify existing programs and their corresponding program contacts. These program contacts were invited to complete a telephone-based survey from October 2016 to July 2017, to provide program descriptions and eligibility criteria, and to identify gaps in navigation. Programs were included if they engaged patients on an individual basis, and either facilitated continuity of care or promoted patient and family empowerment. We tabulated results and calculated summary statistics for program characteristics. Results: Ninety-five potentially eligible programs were identified by key informants. The response rate to the study survey was 73% (n = 69). After excluding programs not meeting inclusion criteria, we included a total of 58 programs in the study: 43 AHS programs and 15 PCN programs. Nearly all programs (93%, n = 54) delivered navigation via an individual acting as a navigator. A minority of programs also included nonnavigator components, such as Web-based resources (7%, n = 4) and process or structural changes to facilitate navigation (22%, n = 13). Certain patient subgroups were particularly well-served by patient navigation; these included patients with cancer, substance use disorders or mental health concerns, and pediatric patients. Gaps identified in navigation fell under 4 domains: awareness, resources, geographic distribution and integration. Interpretation: Patient navigation programs are common and have extended beyond cancer care, from which the construct originated; however, gaps include a lack of awareness and inequitable access to the programs. These findings will be of interest to those developing and implementing patient navigation interventions in Alberta and other jurisdictions.
Measuring reliability using the Kappa statistic

This paper deals with an inter-annotator agreement test involving the identification of the information unit of topic as defined within the framework of the Language into Act Theory (L-AcT). Fleiss’s kappa statistic was used to measure the agreement among the four annotators who took part in the test. The data used was sampled from C-ORAL-BRASIL II, a spontaneous speech corpus of Brazilian Portuguese. The paper begins by outlining of the theoretical underpinnings of L-AcT, dedicating special attention to aspects directly related to the notion of Topic. Section 2 presents the pilot test and discusses methodological and theoretical issues that were relevant for the design of the protocol that was eventually used in the actual test. Sections 3 and 4 deal with the test, its protocol and results (the kappa coefficient for the general agreement was 0.79, which by usual standards represents a substantial agreement). Section 5 first provides a brief review of a few studies conducted according to other frameworks which have dealt with inter-annotator agreement on the annotation of information structure categories. Finally, the errors observed in the test are analyzed qualitatively.
Clinical and Radiographic Evaluation of two Different Macro Designs Zirconia Root Form Implants

Purpose: Due to advantageous of zirconia root form implant (ZRFI) as low affinity to plaque and favorable biomechanical and esthetic properties, zirconia was a material of choice for replacing remaining root instead of titanium. Material and methods: This were a randomized controlled clinical trial conducted on twenty patients with twenty anterior maxillary remining teeth which needed to be replaced with dental implants. The Patients were randomly divided into 2 groups. Group 1 included 10 patients who received zirconia dental implants with oval surface macro retention while group 2 included 10 patients who received zirconia dental implants with round surface macro retention. Each patient received the zirconia root form implant which was fabricated from the remaining root by cone beam competed topography and CAD/CAM machine then immediately placement of implant after extraction. Result: For the clinical parameters measured, including the propping depth (PD), modified plaque index (mPI) and modified bleeding index (mBI), it was shown that the oval and round group had no effect on the results as no significant. For the radiographically measured there was a stable and non-significance increase in bucco-lingual width. And loss in marginal bone level after 6 months of follow-up. Periotest evaluation showed increase in stability and osseointegration with (ZRFI). Conclusion: (ZRFI) is a new successful modality for immediate replacement of teeth with no difference regarding oval or round macro-retention features. (ZRFI) is associated with improved stability over time.
Distributional Learning of Mandarin Lexical Tones in Bidirectional Deep Neural Network

This paper presents an artificial bidirectional deep neural network simulation, namely deep Boltzmann machines, to model the distributional learning of four Mandarin Chinese lexical tones with a design of extracting and segmenting the auditory-phonetic information of tonal patterns on a three-dimensional continuum. The virtual learner exhibits the emergence of prototypes and perceptual magnet effect after being trained with an adequate number of sound-only tokens. After being trained with an adequate number of sound-meaning pairing tokens, the virtual learner has developed the ability to handle both comprehension and production of the four tones. Evidence for distributional learning is also found in the variant outcomes of learning four categories of sound tokens that are not distributed equally.
Enhanced Single and Simultaneous As(III) Adsorption in Pearl River Delta Water by Hexylamine Functionalized Vermiculite

Enhanced As(III) removal (>99.7) was achieved by a novel organoclay (HEX-VER) adsorbent in Pearl River Delta water. Single and simultaneous As(III) removal in the presence of Cd(II) and/or Pb(II) by batch adsorption tests was analyzed. Spectroscopic, spectrometric, microscopic, and potentiometric techniques were used for characterization of the adsorbents. The parameters affecting As(III) adsorption, including pH, kinetic, isotherm, thermodynamic, and co-existing ions (Cl−, F−, NO3−, CO32−, SO42−, Ca2+ and Mg2+) were also investigated. The results showed that HEX-VER owned different morphology and larger average pore diameter after functionalization, resulting in an improvement of As (III) adsorption capacity. Further analysis confirmed that adsorption was of the monomolecular layer, well-described by the Langmuir isotherm model. The dominant mechanisms for As(III) removal were ion-exchange and complexation. Moreover, HEX-VER was regenerated for five consecutive cycles, and the removal ratio was ≈ 92%, showing its great regeneration potential. These findings suggest that the proposed inexpensive adsorbent has potential for practical applications of As(III) removal from river water.
The Chandra view of the relation between X-ray and UV emission in quasars

We present a study of the relation between X-rays and ultraviolet emission in quasars for a sample of broad-line, radio-quiet objects obtained from the cross-match of the Sloan Digital Sky Survey DR14 with the latest Chandra Source Catalog 2.0 (2332 quasars) and the Chandra COSMOS Legacy survey (273 quasars). The non-linear relation between the ultraviolet (at 2500Å, L UV ) and the X-ray (at 2keV, L X ) emission in quasars has been proved to be characterised by a smaller intrinsic dispersion than the observed one, as long as a homogeneous selection, aimed at preventing the inclusion of contaminants in the sample, is fulﬁlled. By leveraging on the low background of Chandra , we performed a complete spectral analysis of all the data available for the SDSS-CSC2.0 quasar sample (i.e. 3430 X-ray observations), with the main goal of reducing the uncertainties on the source properties (e.g. ﬂux, spectral slope). We analysed whether any evolution of the L X − L UV relation exists by dividing the sample in narrow redshift intervals across the redshift range spanned by our sample, z (cid:39) 0 . 5 − 4. We ﬁnd that the slope of the relation does not evolve with redshift and it is consistent with the literature value of 0.6 over the explored redshift range, implying that the mechanism underlying the coupling of the accretion disc and hot corona is the same at the di ﬀ erent cosmic epochs. We also ﬁnd that the dispersion decreases when examining the highest redshifts, where only pointed observations are available. These results further conﬁrm that quasars are ‘standardisable candles’, that is we can reliably measure cosmological distances at high redshifts where very few cosmological probes are available.
RefineCap: Concept-Aware Refinement for Image Captioning

Automatically translating images to texts involves image scene understanding and language modeling. In this paper, we propose a novel model, termed RefineCap, that refines the output vocabulary of the language decoder using decoder-guided visual semantics, and implicitly learns the mapping between visual tag words and images. The proposed Visual-Concept Refinement method can allow the generator to attend to semantic details in the image, thereby generating more semantically descriptive captions. Our model achieves superior performance on the MS-COCO dataset in comparison with previous visual-concept based models.
Rotating Majorana zero modes in a disk geometry

We study the manipulation of Majorana zero modes in a thin disk made from a p -wave superconductor in order to understand their use as a building block for topological quantum computers. We analyze the second-order topological corner modes that arise when an in-plane magnetic ﬁeld is applied and calculate their dynamical evolution when rotating the magnetic ﬁeld, with special emphasis on non-adiabatic eﬀects. We characterize the phase transition between high-frequency and near-adiabatic evolution using Floquet analysis. We show that oscillations persist even in the adiabatic phase because of a frequency-independent coupling between zero modes and excited states, which we have quantiﬁed numerically and analytically. These results show that controlling the rotation frequency can be a simple method to avoid the non-adiabatic errors originated from this coupling and thus increase the robustness of topological quantum computation.
A Deep Reinforcement Learning Approach for Constrained Online Logistics Route Assignment

As online shopping prevails and e-commerce platforms emerge, there is a tremendous number of parcels being transported every day. Thus, it is crucial for the logistics industry on how to assign a candidate logistics route for each shipping parcel properly as it leaves a signiﬁcant impact on the total logistics cost optimization and business constraints satisfaction such as transit hub capacity and delivery proportion of delivery providers. This online route-assignment problem can be viewed as a constrained online decision-making problem. Notably, the large amount (beyond 10 5 ) of daily parcels, the variability and non-Markovian characteristics of parcel information impose difﬁculties on attaining (near-) optimal solu-tion without violating constraints excessively. In this paper, we develop a model-free DRL approach named PPO-RA, in which Proximal Policy Optimization (PPO) is improved with dedicated techniques to address the challenges for route assignment (RA). The actor and critic networks use attention mechanism and parameter sharing to accommodate each in-coming parcel with varying numbers and identities of candidate routes, without modeling non-Markovian parcel arriving dynamics since we make assumption of i.i. d. parcel arrival. We use recorded delivery parcel data to evaluate the performance of PPO-RA by comparing it with widely-used base-lines via simulation. The results show the capability of the proposed approach to achieve considerable cost savings while satisfying most constraints.