Miracle-dz/UniFAR-FTUs huggingface dataset:
SMART GOVERNANCE MATRIX (SGM) AND CORRUPTION RISK IN MALAYSIA

Corruption is seen as one of the essential issue to the development of a proficient government in light of the fact that it is an "indication that something has happened in the management of the organization ". Better approach to address this issue is through coupling up the effort on controlling corruption with the consideration on great governance viewpoints. Therefore, this study aims to test the Smart Governance Matrix (SGM) elements in order to establish a commitment towards corruption control activities through assessment of corruption risk. This study adopted quantitative research design to test the Smart Governance Matrix consisting of five governance elements with the corruption risk. Closed-ended questionnaires were distributed to 64 Integrity Officers and 61% responded questionnaires were received. The unit of analysis was the government agencies, federal departments, statutory bodies and government linked companies in Malaysia. This study found that the enterprise governance model (EGM) and human governance model (HGM) have a significant relationship with the corruption risk. This study addresses insight to the improvement of the governance environment as the proposed tool to measure corruption comprehensively is the corruption risk assessment that can be used to detect red flags of corruption in the organizations. These two elements may contribute to the controlling corruption initiatives.
Analysis of Aircraft Actuator Failures within an Undergraduate Experiential Learning Laboratory

The design and implementation of an undergraduate laboratory is presented for the analysis of aircraft actuator failures through simulation. The laboratory was developed in the context of introducing aerospace engineering students to the practical implications of subsystemmalfunctions on aircraft dynamics, performance, and control within the general framework of aircraft health management. However, the laboratory assignment can be a valuable addition to other courses in flight dynamics and controls. Advanced simulation tools are used to illustrate concepts and allow students to identify the dynamic fingerprint of aircraft actuator failures and investigate qualitatively their effects on system performance and handling qualities. The computational package relies onMatlab® and Simulink® . The typical aircraft aerodynamic control surfaces are targeted in the assignment: aileron, elevator, and rudder. They can be locked at trimor at a different deflection. Themain objective of the lab consists in capturing the dynamic fingerprint of actuator failure as a necessary premise for the development of fault tolerant control laws and schemes for subsystem failure detection, identification, and evaluation. The students receive general guidelines on how to design and execute the simulation experiment; however, they are required to answer open-ended questions and encouraged to investigate and follow personal paths in reaching the objective of the assignment. The general design and implementation of the assignment employs active and experiential learning approaches and promotes student initiative and creativity. Instructor direct assessment and student formal feedback demonstrate that active and experiential learning methodologies using numerical simulation are received positively by students and prove to be effective in increasing student motivation and participation and generally enhancing the academic process.
INFLUENCING OF POLICY CHALLENGES OF URBAN AGRICULTURE AND ECONOMIC VIABILITY ON URBAN AGRICULTURE IN LIBYA

Urban agriculture is believed to meet this urgency and suitable for a nation that is still unstable economically and politically like Libya. A recent and growing body of literature documents the importance of agricultural production in the urban settings commonly called “urban agriculture” (UA), in affecting urban dwellers behaviour and agriculture policy makers. Urban agriculture is not about producing green vegetables only but also involving a complete process to the end users, thus it is creating job opportunities for any disadvantaged groups. This study investigates the relationship between Policy Challenges of Urban Agriculture, Economic Viability and urban agriculture to explain food security in Benghazi region in Libyan using survey of demographic factors such as population and population income. The results of the study indicated that policy challenge of urban agriculture and economic viability of urban agriculturehad a signficant and positive effect on urban agriculture among urban people in doing agriculture in Libya. Furthermore, economic viability of urban agriculture had a signficnat and positive impact on urban agriculture.
Fascia and living tensegrity considerations in: lower extremity and pelvic entrapment neuropathies

Corresponding Author: John Sharkey MSc, Faculty of Medicine, Dentistry and Clinical Sciences, University of Chester/NTC, 15-16aSt Joseph’s Parade, Dorset St, DO7 FR6C, Dublin, Ireland. E-Mail: john.sharkey@ntc.ie Peripheral neuropathies can have a plethora of origins including physical insults resulting from connective tissue compression and entrapment. Observational investigations, using biotensegrity focused dissections, have identified site-specific fascial structures that are hypothesised to afford integrity to neurovascular structuresby providing appropriate tension and compression. These myofascial structures act as site-specific fascia tuning pegs. While these ‘tuning pegs’ are capable of having a whole body impact, this paper will look specifically at the local influences on pelvis and lower limb. The analogy of a fascia ‘tuning peg’, similar to the tuning peg of a string instrument, is adoptedto help explain this unfamiliar concept. An ‘out of tune’ fascial system would lead to hypertonic and inhibited tissues, dissonant notes, one could say. Hypertonic tissues increase tensional forces acting within local and global networks leading to inappropriate densification of fascial structures, fibrosis and neurovascular fascial adhesions. Inhibited tissues, unable to generate sufficient force to ensure appropriate fascial integrity, lead to excessive compression on neurovascular structures like a dissonant note striking a wrong cord. Site-specific fascia tuning pegs provide appropriate frequency and note specific tension and compression ensuring combined forces operate in an omnidirectional manner resulting in pain free physiology, neurology and motion.The role of muscles in metabolism, physiology, heat production and motion is well described within the scientific literature. Less understood is the local role of myofascial structures providing mechanotransductive forces resulting in fascial expansive responses ensuring appropriate gliding and decompression of neurovascular structures. It is proposed that failure of site-specific fascia tuning pegs results in excessive compression, friction, inflammation, pathology, pain and changes in sensations.
Philosophy of geotechnical design in civil engineering – possibilities and risks

The European standards, developed extensively over last 30 years, are driven by the need for continuous evolution and their Authors’ pursuit of better EU-wide quality in civil engineering – combining safety, economy, and sustainable development. The adoption of theory of reliability as the basis for design has played a major role in shaping current geotechnical practice. However, it requires from practitioners a greater understanding of underlying uncertainties. Furthermore, a number of alternative approaches, not generally used in structural design, are also allowed, as some situations in geotechnical engineering require an individual approach. Moreover, the current trends in geoengineering increase the importance of risk assessment and management. The paper presents general philosophy guiding the geotechnical design and pointing to some of the ideas introduced by Eurocode 7 and its requirements, in relation to preexisting practice of geotechnical design in civil engineering.
performance: An R Package for Assessment, Comparison and Testing of Statistical Models

A crucial part of statistical analysis is evaluating a model's quality and fit, or performance. During analysis, especially with regression models, investigating the fit of models to data also often involves selecting the best fitting model amongst many competing models. Upon investigation, fit indices should also be reported both visually and numerically to bring readers in on the investigative effort. While functions to build and produce diagnostic plots or to compute fit statistics exist, these are located across many packages, which results in a lack of a unique and consistent approach to assess the performance of many types of models. The result is a difficult-to-navigate, unorganized ecosystem of individual packages with different syntax, making it onerous for researchers to locate and use fit indices relevant for their unique purposes. The performance package in R fills this gap by offering researchers a suite of intuitive functions with consistent syntax for computing, building, and presenting regression model fit statistics and visualizations.
Comparison of the effectiveness of acceptance and commitment therapy and compassion-focused therapy on the quality of life of mothers with gestational diabetes

Introduction: This study aimed to compare the effectiveness of acceptance and commitment therapy (ACT) and compassion-focused therapy (CFT) on the quality of life of mothers with gestational diabetes. Methods: The quasi-experimental research was conducted based on a pretest-posttest control group design and follow-up. The statistical population of the study consisted of all pregnant mothers referring to the Milad Hospital in Tehran, Iran, in 2019, who was diagnosed with gestational diabetes. The samples (n=45) were selected using the purposive sampling method (considering the inclusion and exclusion criteria) and then randomly divided into three groups of ACT, CFT, and control groups. The acceptance and commitment and compassion-focused groups received Ferman and Herbert (2007) and Gilbert self-compassion (2008) training, respectively. Moreover, a three-month follow-up phase was performed on all participants in the three groups. The research tool was the World Health Organization Quality of Life (1986). The collected data were analyzed in SPSS software (version 22) using repeated measure analysis of variance. Results: The results showed that ACT and CFT had a significant effect on improving the quality of life of mothers with gestational diabetes (P<0.001). Conclusion: It was revealed that ACT had a greater impact on the quality of life of mothers with gestational diabetes than CFT.
Novel Structure-Exploiting Techniques Based Delay-Dependent Stability Analysis of Multi-Area LFC With Improved Numerical Tractability

Time-domain indirect methods based on Lyapunov stability theory and linear matrix inequality techniques (LMIs) have been applied for delay-dependent stability analysis of large-scale load frequency control (LFC) schemes. This paper aims to enhance the numerical tractability of large-scale LMIs by exploiting the special characteristics of the LFC loops. First, in the typical LFC model, only a few delayed states that are directly influenced by transmission delays are distinguished from other normal system states. Hence, an improved reconstruction model is formed, based on which the delay-dependent stability condition is established with the decreased order of the LMIs and decision variables. Then, to further improve the numerical tractability of the developed stability criterion, all weighting matrices required in the augmented Lyapunov functional are enforced to have structural restrictions by proposing an extended symmetry-exploiting technique. Case studies show that the method proposed in this paper significantly improves the calculation efficiency of stability criterion established for multi-area power systems at the cost of only a minor reduction in computational accuracy.
Delivering non-intrusive signal intelligence with deep learning

Teaching machines to perceive the overall quality of speech and estimate the underlying acoustic characteristics of the environment in which the signal was captured without a clean reference signal (i.e. non intrusively) is a challenging task that has many real-world applications. These include audio forensics, hearing aids, speaker diarization and automatic speech recognition (ASR). In the context of ASR, an important application is for the purpose of data augmentation and selection, where an algorithm like Non-Intrusive Speech Analysis (NISA) can be used for analyzing field data to estimate the distributions of various acoustic parameters present and then to use those distributions to select appropriate data for ASR model training as well as for the purpose of configuring and automating data augmentation strategies.
Investigating the Effect of Ampicillin-Sulbactam and Colistin on Acinetobacter baumannii Strains by Epsilometer Test: An In Vitro Study

Acinetobacter baumannii is appeared as a gram-negative, oxidase-negative, non-fermenting, obligate aerobic, and immotile coccobacillus. This bacterium is one of the most common causes of nosocomial infections and is known for its prolonged survival, high contamination risk, and remarkable antibiotic resistance (1-3). In many studies, the antibiotic resistance of A. baumannii has been reported as more than 80% (4,5). On the other hand, A. baumannii is one cause of infection in intensive care units (ICUs) and in the patients hospitalized in ICUs, the most common presentations of infection have been ventilator-associated pneumonia (VAP), bloodstream infection (BSI), urinary tract infection (UTI), and wound infection (6-8), with a mortality rate of 20% to 60 % (911). Furthermore, findings suggest higher isolation rate of A. baumannii from infections caused by Gram-negative bacteria in hospital settings (12,13). In A. baumannii strains, ampicillin-sulbactam resistance occurs through decreasing the binding ability of antibiotic to penicillin-binding protein 2 (PBP2) (14,15). In 2015, an in vitro study described the synergistic effect of ampicillin-sulbactam in combination with colistin, tigecycline, amikacin, and meropenem on A. baumannii (16). Colistin has been considered as the main antibiotic in treating the nosocomial infections caused by multi-drug resistant gram-negative bacteria, although it is usually chosen as the last option for A. baumannii (8,17). Colistin actively disrupts the lipid A component of lipopolysaccharide (LPS) in the bacterial membrane like a detergent. However, A. baumannii induces colistin resistance through changes in electric charges of lipid A (6,8,14,15,17). Despite colistin resistance in A. baumannii, treatment with this antibiotic has been considered as an empirical therapy instead of being the last choice (14,18,19). One survey on A. baumannii revealed variations in antibiotic resistance during the recent years which might be resulted from Avicenna Journal of Clinical Microbiology and Infection
SOCIAL DISTANCING WITH ALZET OSMOTIC PUMPS

return to "normal", companies have been tasked with implementing strict protocols l imiting the amount of people allowed within a certain amount of space. This is especially challenging in laboratories, where space was already severely limited. Instead of prioritizing some research over others, try using an infusion pump instead. One of the known advantages of ALZET Osmotic Pumps is that researchers are able to handle animals less often than if they were administering injections. Consequently, researchers are able to spend less time in the lab. This provides labs with the ability to limit the amount of people in the lab at one time, without limiting the amount of research being done. SPECIAL DELIVERYTM NEWSLETTER
Splithalf: Robust Estimates of Split Half Reliability

The methods in splithalf are built around split half reliability estimation. To increase the robustness of these estimates, the package implements a permutation approach that takes a large number of random (without replacement) split halves of the data. For each permutation the correlation between halves is calculated, with the Spearman-Brown correction applied (Spearman, 1904). This process generates a distribution of reliability estimates from which we can extract and plot summary statistics (e.g. average and 95% HDI).
Keep it in Sync! Consistency Approaches for Microservices - An Insurance Case Study -

Microservices is an architectural style for complex application systems, promising some crucial benefits, e.g. better maintainability, flexible scalability, and fault tolerance. For this reason microservices has attracted attention in the software development departments of different industry sectors, such as ecommerce and streaming services. On the other hand, businesses have to face great challenges, which hamper the adoption of the architectural style. For instance, data are often persisted redundantly to provide fault tolerance. But the synchronization of those data for the sake of consistency is a major challenge. Our paper presents a case study from the insurance industry which focusses consistency issues when migrating a monolithic core application towards microservices. Based on the Domain Driven Design (DDD) methodology, we derive bounded contexts and a set of microservices assigned to these contexts. We discuss four different approaches to ensure consistency and propose a best practice to identify the most appropriate approach for a given scenario. Design and implementation details and compliance issues are presented as well. Keywords–Microservices; Consistency; Domain Driven Design (DDD); Insurance Industry.
Logics of formal inconsistency based on distributive involutive residuated lattices

The aim of this paper is to develop an algebraic and logical study of certain paraconsistent systems, from the family of the logics of formal inconsistency (LFIs), which are definable from the degree-preserving companions of logics of distributive involutive residuated lattices ($\textrm {dIRL}$s) with a consistency operator, the latter including as particular cases, Nelson logic ($\textsf {NL}$), involutive monoidal t-norm based logic ($\textsf {IMTL}$) or nilpotent minimum ($\textsf {NM}$) logic. To this end, we first algebraically study enriched dIRLs with suitable consistency operators. In fact, we consider three classes of consistency operators, leading respectively to three subquasivarieties of such expanded residuated lattices. We characterize the simple and subdirectly irreducible members of these quasivarieties, and we extend Sendlewski’s representation results for the case of Nelson lattices with consistency operators. Finally, we define and axiomatize the logics of three quasivarieties of $ \textrm {dIRL}$s and their corresponding degree-preserving companions that belong to the family of LFIs.
Z ERO - SHOT T RANSFER L EARNING FOR G RAY - BOX H YPER - PARAMETER O PTIMIZATION

Zero-shot hyper-parameter optimization refers to the process of selecting hyperparameter configurations that are expected to perform well for a given dataset upfront, without access to any observations of the losses of the target response. Existing zero-shot approaches are posed as initialization strategies for Bayesian Optimization and they often rely on engineered meta-features to measure dataset similarity, operating under the assumption that the responses of similar datasets behaves similarly with respect to the same hyper-parameters. Solutions for zeroshot HPO are embarrassingly parallelizable and thus can reduce vastly the required wallclock time of learning a single model. We propose a very simple HPO model called Gray-box Zero(O)-Shot Initialization (GROSI) as a conditional parametric surrogate that learns a universal response model by exploiting the relationship between the hyper-parameters and the dataset meta-features directly. In contrast to existing HPO solutions, we achieve transfer of knowledge without engineered metafeatures, but rather through a shared model that is trained simultaneously across all datasets. We design and optimize a novel loss function that allows us to regress from the dataset/hyper-parameter pair unto the response. Experiments on 120 datasets demonstrate the strong performance of GROSI, compared to conventional initialization strategies. We also show that by fine-tuning GROSI to the target dataset, we can outperform state-of-the-art sequential HPO algorithms.
The detection of colistin resistance in carbapenem resistant Klebsiella pneumoniae isolates

Background: Infections that develop with resistant Klebsiella pneumoniae have been associated with high morbidity and mortality. Problems in the treatment of these infections have required the use of new treatment options such as colistin in recent years. This study was carried out to contribute to routine applications by investigating the compatibility of methods commonly used in determining colistin susceptibility with the gold standard broth microdilution (BMD) method. Methods: Colistin MIC values were determined by BMD, broth microdilution based commercial kit (Sensititre, ThermoFisher, USA), Vitek2 (bioMerieux, France) and gradient test (Bioanalyse, Turkey) in 128 carbapenem resistant K. pneumonaie strains isolated from various clinical samples sent from July 2018 to July 2019 to the microbiology laboratory. Results: According to the BMD method, 62 (48.4%) of the isolates were susceptible and 66 (51.6%) were colistin resistant. Accepting BMD method as reference, very large error (to find a susceptible result in a reference test as susceptible) and large error (to detect a susceptible result in a reference test as resistant) ratios in broth microdilution based commercial kit, automated system and gradient test were found respectively as 0%, 15.1, 18.1 and 0, 6.4 and 9.6%. According to the ISO performance criteria, the commercial kit shows "acceptable performance" while the other two tests have a very large error rate of >10% and are considered as "unacceptable performance". Conclusions: It was concluded that the ready kit we tested in laboratories with heavy workload could be used to determine the colistin susceptibility and the result determined in automated systems should be confirmed.
Controllability Analysis of One- and Two-Dimensional Additive Real-Valued Cellular Automata

In this paper, we study the regional controllability of oneand two-dimensional additive realvalued cellular automata with periodic, fixed, and reflective boundary conditions. The global transition functions of cellular automata are formulated in the matrix form to update the cofiguration. These results are applied to derive and prove the sufficient conditions of regional controllability for these additive cellular automata. In addition, the formulae of the control vectors and control vectors with least-norm for which the additive cellular automata are controllable have been obtained. The illustrations of simulation examples are provided to support the theoretical results. MSC: 47H09
Determinants of Performance of Conventional and Islamic Banks in GCC

The aim of this research is to evaluate the impact of internal and external variables on the performance of both Islamic banks and conventional banks in the GCC. The Internal variables include capital adequacy, asset quality, management, earnings, liquidity and sensitivity of risk while the external variables are the economic growth and inflation. Return on equity and Return on asset were used in the STATA programming to identify the variable with the greatest effect or least effect on the performance of banks in GCC. Specifically, five conventional banks and five Islamic banks from 2012 to 2015 were used in the research.