Miracle-dz/UniFAR-FTUs huggingface dataset:
A Zoning-Based Secure Control Approach Against Actuator Attacks in Industrial Cyber-Physical Systems

The integration of cyber and physical domains improves the flexibility and efficiency of industrial systems. However, it also introduces security threats into the physical processes of the systems. More seriously, most of field devices, such as sensors and actuators, in industrial systems are vulnerable to security threats because they are usually not deployed with security countermeasures. Therefore, how to secure the physical processes of these industrial cyber-physical systems becomes an emerging problem. To address this problem, a zoning-based approach is presented in this article for identification and mitigation of actuator attacks in multiple-input multiple-output processes governed by linear time-invariant systems. It partitions the set of actuators into multiple zones that ensures the controllability of the surviving zones when a zone is compromised. When a zone is intruded, the system states of the compromised zone and other zones cooperate to confirm that the detected attack is against actuators. Then, to mitigate the impact of the actuator attack on the system functions, the attacked actuators are isolated. After that, the residual actuators in the surviving zones are used to reconfigure the control loops of the systems. Case studies are conducted to illustrate the effectiveness of the presented approach.
Impact of Business Ethics on Nigerian Financial Institutions

Ethics represent sets of high moral standards and requirements in office holders. This is on the premise that they will be held accountable for any form of misdemeanour. It is also all encompassing and serves as yardsticks for judgment of societal uprightness. The murky waters of business are neck-deep in different types of moral and immoral dealings. Shortcuts and unconventional practices have become prevalent. The codes of ethics which are the sets of moral principles are relegated to the background. The banking industry which plays an intermediation role in every economy has its own fair share of these unethical practices. This paper therefore explores this Trojan and its impacts on the Nigerian financial institutions. Findings reveals plethora of unhealthy practices and discusses their effects on these institutions. Furthermore, the paper recommends the need for a total clean-up and proposes that government must intervene to sanitise these institutions which serve as the heart and soul of the Nigerian economy.
Characterizing organic particle impacts on inert metal surfaces: Foundations for capturing organic molecules during hypervelocity transits of Enceladus plumes

The presence and accessibility of a sub‐ice‐surface saline ocean at Enceladus, together with geothermal activity and a rocky core, make it a compelling location to conduct further, in‐depth, astrobiological investigations to probe for organic molecules indicative of extraterrestrial life. Cryovolcanic plumes in the south polar region of Enceladus enable the use of remote in situ sampling and analysis techniques. However, efficient plume sampling and the transportation of captured organic materials to an organic analyzer present unique challenges for an Enceladus mission. A systematic study, accelerating organic ice‐particle simulants into soft inert metal targets at velocities ranging 0.5–3.0 km s−1, was carried out using a light gas gun to explore the efficacy of a plume capture instrument. Capture efficiency varied for different metal targets as a function of impact velocity and particle size. Importantly, organic chemical compounds remained chemically intact in particles captured at speeds up to ~2 km s−1. Calibration plots relating the velocity, crater, and particle diameter were established to facilitate future ice‐particle impact experiments where the size of individual ice particles is unknown.
A study of band parents' and band directors' perceptions of parental involvement in three central Buskerud school bands

SAMMENDRAG ii LIST OF FIGURES Figure 1. The “didactic relations model” 12 Figure 2. Overlap of perceptions . 66, 85 Figure 3. Accuracy of perceptions 80, 87 Figure 4. The “didactic relations model” of parental involvement 96 LIST OF TABLES Table 1. Statements on which participants are divided 63, 83 Table 2. Statements on which participants nearly agree 64, 84 PROLOGUE: “Where is the principal? ” vi
A Multi-objective Optimisation Design Approach for Ensemble Member Combination in Binary Classification Tasks

: Machine learning algorithms are usually trained by means of optimising a single global score, and it is possible to have a poor performance when dealing with classiﬁcation problems where a lower type I or type II error rate is more desirable. To deal with this situation, multi-objective optimisation techniques can be applied for ﬁnding the trade-oﬀ among the diﬀerent objectives. However, such approach results in a set of non-dominated solutions, and it is important to select one preferable solution. Thus, this paper proposes the application of a holistic multi-objective optimisation design procedure for ensemble member combination. To do so, a multi-objective problem is formulated in order to maximise the class-speciﬁc recalls of a weighted majority voting ensemble. Such problem is optimised with a multi-objective evolutionary algorithm. Next, a ranking technique is used ﬁnd a preferred solution based on the during the multi-criteria decision making step.
PHOSPHATE FERTILIZATION EFFICIENCY IN SOYBEAN CULTIVARS INDICATED FOR CERRADO TROPICAL SOIL REGIONS

Phosphorus deficiency (P2O5) is among the main abiotic stresses that limit soybean production in cerrado soils. Its low availability in soils, especially in the more weathered and acidic ones, the increased demand and its scarcity estimations leadto the need for the development of cultivars more efficient in the use of this mineral. This experiment was conducted under field conditions in the municipality of Imperatriz, state of Maranhao, Brazil, under planosol conditions, in a randomized complete block design, with treatments arranged in a 2x4 factorial scheme with four replicates, four P levels (0, 60, 120 and 180 kg ha-1), and two soy bean cultivars (BRS 333 RR and BRS 9180 IPRO) indicated for tropical regions or Brazilian cerrado. In this study, P2O5 efficiency use was evaluated based on plant height, shoot dry mass (SDM), pod dry mass (PDM) and number of pods (NP). BRS 333 RR cultivar obtained the highest efficiency with doses of 84.35 kg ha-1 and 94.46 kg.ha-1, producing 696,76.76g e 86,72.06g for SDM and PDM respectively, average height of94.15 cm with 123.98 kh.ha-1 and phosphate fertilizer use efficiency (FUE) of 13%
The Role of Marketing & Competitive Intelligence In Industrial Revolution 4.0

ABSTRACT This study aims to examine the role of marketing and competitive intelligence in the industrial revolution 4.0, mapping the corporate strategy to be able to compete globally. This research use Grab as the research subject because of its ability to compete with Go-Jek in Indonesia particularly, and succeed in mastering Southeast Asia. The methodology was descriptive qualitative by using purposive sampling technique, interviewing several drivers and corporate grab partners (Managing Director of Grab Indonesia and Communication Manager Grab CEO's Office), observation, secondary data from several TV station interviews, and other publicly available data. The data analysis technique was data source triangulation (confirmatory) and theory triangulation. The results of this study indicates that Grab chose the expansion country by looking at the similarities that existed in the previous country, so that the duplication process could run easily, for example Grab Bike in Vietnam to be copied to Indonesian market. Grab understands to be accepted in a country, it has to understanding the needs of the country, because the needs are different in each country. To be able to compete with existing local products, the Hyperlocal and local partnership approach is carried out. Grab believes that only with approaches and local partnerships will make it easier to understand local needs and accelerate. To accelerate the development process, Grab has made a partnership with several companies that have the same goals. Grab's ability to adapt the changes will requires the right talent whom understand the context, and is supported by the right and mature technology. This research is expected to provide an overview of corporate strategy in entering global markets in the industrial era 4.0 by using competitive intelligence and marketing 4.0, and is able to compete with international companies. In the future, further research is expected to present a more in-depth analysis of marketing strategies as a form of corporate strategy implementation.
Private Equity Financing in Zambia: Determinants and Constraints

Growth and development of small and medium-sized enterprises (SMEs) are the key drivers of economic growth and development in Africa. While this has become a widely accepted idea, access to financing for growth remains a stumbling block for many enterprises in Zambia. Traditional lenders (i.e. banks) are risk averse because they may not understand the SME market and have been negatively impacted by information asymmetry that is often associated with these ventures. As a result, they tend to charge exorbitant interest rates that are unsustainable for long-term growth. The existing focus of many microfinance institutions in Zambia is typically directed towards salaried employees which crowds out lending to SMEs. Private equity financing, on the other hand, presents an alternative solution to the long-term financing dilemma faced by enterprises. The Zambian private equity market is itself in a nascent space but shows much potential. This dissertation seeks to determine what drives private equity financing in Zambia and what constrains it. The dissertation adopts a qualitative research approach relying on the interviews of various Fund Managers who are familiar with investing in Zambia. The paper finds that private equity investment in Zambia is determined and catalysed broadly by business attractiveness and the business environment. Business attractiveness is underpinned by management capacity, the business track record, exits and returns, impact potential and business scalability. The business environment is driven by political stability, GDP growth and population growth. The sector is however, constrained by a less developed private equity culture, limited opportunities to invest and currency risk.
ANALYSIS FACTORS INFLUENCING THE ADOPTION OF MOBILE PAYMENT USING THE UTAUT2 MODEL (A CASE STUDY OF OVO IN INDONESIA)

---------------------------------------- ************************ ---------------------------------- Abstract: Although it is already proven that the growth of non-cash transaction promotes economic efficiency, the percentage of non-cash instruments used in Indonesia is still low compared to the internet or smartphone penetrations. Thus, to analyze one of the non-cash instruments adoption rate, the researcher conducted research using OVO application as the object. This research aims to find out the factors influencing the adoption of OVO in Indonesia using the UTAUT2 model and provide suggestion to the company related to respondents’ perception toward it. Based on the 400 valid responses, the results show that most of the variables in UTAUT2 model (social influence (SI), facilitating conditions (FC), hedonic motivation (HM), price value (PV), behavioral intention (BI), and trust (TR)) have a positive influence on the adoption variable except for performance expectancy (PE) and effort expectancy (EE) variables. It also shows that facilitating conditions (FC) are the key determinant of customers' intention to use the services.
Desinging Analog Mixed Signal Circuits Using Graphene Nano Ribbon Field Effect Transistors

Graphene is a 2D material formed by planar honeycomb placement of Carbon atoms . Besides its many superior physical properties it has superior electronic properties foremost of which is the high mobility it possesses. Due to this high mobility many Graphene based transistors have been designed. Graphene nano ribbons exhibit a band gap property, which is crucial for implementing transistors as switches. Moreover there exist models for these Graphene Nano Ribbon devices. In this work we designed and simulated analog mixed signal blocks using Graphene Nano Ribbon transistors. The particular blocks that we used included telescopic amplifiers and StrongARM latches. Next we compared these blocks’ performances against the same blocks implemented in 14nm high performance Silicon CMOS transistors. As a result we observed that the graphene transistors could attain comparable performances to circuits designed in 14nm CMOS. Specifically Graphene blocks can reach up to 80% of the bandwidth of Silicon devices. However Graphene devices have greater power consumption as a result of higher leakage current.
Permafrost Hydrology Research Domain: Process-Based Adjustment

Permafrost hydrology is an emerging discipline, attracting increasing attention as the Arctic region is undergoing rapid change. However, the research domain of this discipline had never been explicitly formulated. Both ‘permafrost’ and ‘hydrology’ yield differing meanings across languages and scientific domains; hence, ‘permafrost hydrology’ serves as an example of cognitive linguistic relativity. From this point of view, the English and Russian usages of this term are explained. The differing views of permafrost as either an ecosystem class or a geographical region, and hydrology as a discipline concerned with either landscapes or generic water bodies, maintain a language-specific touch of the research in this field. Responding to a current lack of a unified approach, we propose a universal process-based definition of permafrost hydrology, based on a specific process assemblage, specific to permafrost regions and including: (1) Unconfined groundwater surface dynamics related to the active layer development; (2) water migration in the soil matrix, driven by phase transitions in the freezing active layer; and (3) transient water storage in both surface and subsurface compartments, redistributing runoff on various time scales. This definition fills the gap in existing scientific vocabulary. Other definitions from the field are revisited and discussed. The future of permafrost hydrology research is discussed, where the most important results would emerge at the interface between permafrost hydrology, periglacial geomorphology, and geocryology.
A Novel Approach for the Optimal Design of a Biosensor

Abstract A novel design optimization strategy is proposed to enhance the analytical performance of a biosensor by taking into consideration the constructional and experimental parameters as design variables. A detailed study on multiple nonlinear neuro-regression analysis has been performed methodically in order to overcome the insufficient approaches on modeling-design-optimization of a biosensor. For this aim, the data were selected from a literature study. A hybrid method is used to test the accuracy of the predictions of 12 candidate functional structures that were proposed for modeling the data. The boundedness of the candidate models is checked after the calculation of R2training and R2testing values to reveal whether the model is realistic or not. Then appropriate models were optimized by using the four different optimization algorithms in terms of three different optimization scenarios. The results show that all the models express the process well regarding R2training. However, only four models are appropriate based on R2testing, and two of them were selected as the objective function depending on to be a realistic value. This novel optimization approach is also feasible for another modeling-design-optimization problem in analytical applications.
Prevalence and professional implication of updated versus previous hypertension classification

Hypertension is a prominent risk factor which is highly associated with cardiovascular diseases occurrence due to its worldwide prevalence of 31.1% in 2010 premature death toll make it one of the three leading risk factors for global disease burden. Almost 9.5 million deaths each year, or 16.5% of all deaths worldwide can be attributed to high blood pressure. The World Health Organization (WHO) estimated that, in 2008, 30% of the adults in the WHO European region and 23% in the WHO region of the Americas had high blood pressure. Hypertension always presents itself as a major risk factor, where its control provides a reduction of about 40% in mortality from cerebrovascular disease and a more modest 20% reduction in mortality from coronary heart disease. Hypertension prevalence in three rural villages in Rwanda, Malawi and Tanzania, was found to affect 22.8%, 15.9% and 26.8% respectively, rates that are far from being ABSTRACT
PHYTOREMEDIAL ROLE OF WITHANIA SOMNIFERA EXTRACT ON BIOCHEMICAL PARAMETERS IN LIVER OF EPINEPHRINE INDUCED STRESSED ALBINO MICE

During our present study, we examined the W. somnifera extract effect on epinephrine induced stress. Forty Swiss albino mice were divided into three groups as non stressed group and stressed group and extract treated group . The stressed groups were exposed to 2 weeks and 4 weeks of chronic immobilization stress with epinephrine. At the end of the 2 and 4 weeks the mice were sacrificed and blood samples were collected through orbital sinus method. The blood samples of these groups were analyzed for selected biochemical parameters viz. Serum Glutamate Oxaloacetate Transaminase (SGOT), Serum Glutamate Pyruvate Transaminase (SGPT), and Bilirubin which were found to be significantly increased in the stressed group when compared to the non stressed Control. The present data indicate that epinephrine induced stress causes the significant alterations in the SGOT, SGPT and Bilirubin levels affecting the normal metabolism in liver. These elevations were found to be significantly reversed in W. somnifera extract treated group. Our findings have relevance as human beings are exposed to several stressors in routine life.
Monitoring circulating tumor cells (CTC) in non-measurable metastatic breast cancer (MBC)

503 Background: We have previously reported that the presence of 5 or more circulating tumor cells (CTCs) in 7.5 mL of blood from women with measurable disease in metastatic breast cancer (MBC) is associated with a poor outcome (NEJM, 351:8, 781–791, 2004). Here we report the results of the CTC assay in 46 MBC patients with non measurable disease. Methods: CTCs were enumerated in 7.5mL whole blood at baseline and at 3 or 4 week follow-up intervals for a period of six months in 46 patients with non measurable MBC about to start a new systemic therapy. CTCs were immunomagnetically separated and fluorescently labeled using the CellSearch Kit. Only nucleated (DAPI+) cells with the phenotype EpCAM+, Cytokeratin 8, 18 and/or 19+, and CD45- were counted using the CellSpotter Analyzer. Results: Median Progression Free Survival (PFS) and Overall Survival (OS) were determined for patients with <5 or ≥5 CTC /7.5mL at baseline and at first follow-up. The percentage of patients that were alive at 12 months (AL12) afte.
They Lynched Mexican-Americans Too: A Question of Anglo Colorism

The act of lynching in the United States was in fact a form of domestic terrorism perpetrated against darker-skinned Americans. Historians have been pressed to acknowledge the lynching of African-Americans particularly in the Bible-belt South in such states as Mississippi and Alabama. The history of Mexican-Americans lynched by Anglo mobs has been for the most part, ignored by Western historians. Said ignored transgressions occurred frequently in border-states including Texas. Approximately 40 years before the lynching of 14-year-old African-American Emmett Till was the lynching of 14-year-old Mexican-American Antonio Gómez. Both were boys accused of Anglo disrespect. Buried in historical archives, the lynching of Gómez was a Mexican-American manifestation of Anglo colorism. Once informed, social scientists and the U.S. society at-large must then readily admit they lynched Mexican-Americans too!
School Facility Conditions and the Relationship Between Teacher Attitudes

This study was designed to address questions related to (a) school facility conditions in two elementary schools in the Commonwealth of Virginia and (b) the relationship of school facility conditions to teacher attitudes. The purpose of this study was to determine if there was a significant relationship between school facility conditions and teacher attitudes. Two instruments were utilized to answer the proposed research questions, the Commonwealth Assessment of Physical Environment (CAPE), and the My Classroom Assessment Protocol (MCAP) instrument. The schools used in this study were selected to provide a contrast between an older and a newer building. Data from the CAPE was used to determine the condition of both buildings, while data from the MCAP was used to compare teacher responses with both schools. Data from the CAPE indicated that more desirable conditions were present in the newer building than in the older building. The MCAP revealed that teachers in the newer building had better attitudes about: (1) the condition of their classrooms, (2) how the condition of their classrooms made them feel, and (3) the affect of classroom conditions on student learning. Together these findings suggest that teacher attitudes are directly influenced by conditions within the building.
Trophectoderm biopsy for preimplantation genetic test and technical tips: A review

Recently, the Japan Society of Obstetrics and Gynecology initiated a clinical study of preimplantation genetic test for aneuploidy. There will be a great need for a standardized embryo biopsy technique in Japan. However, the gold standard trophectoderm (TE) biopsy procedure has not been established, and this review outlines the clinical use of TE biopsy.
Status of deep learning for EEG-based brain–computer interface applications

In the previous decade, breakthroughs in the central nervous system bioinformatics and computational innovation have prompted significant developments in brain–computer interface (BCI), elevating it to the forefront of applied science and research. BCI revitalization enables neurorehabilitation strategies for physically disabled patients (e.g., disabled patients and hemiplegia) and patients with brain injury (e.g., patients with stroke). Different methods have been developed for electroencephalogram (EEG)-based BCI applications. Due to the lack of a large set of EEG data, methods using matrix factorization and machine learning were the most popular. However, things have changed recently because a number of large, high-quality EEG datasets are now being made public and used in deep learning-based BCI applications. On the other hand, deep learning is demonstrating great prospects for solving complex relevant tasks such as motor imagery classification, epileptic seizure detection, and driver attention recognition using EEG data. Researchers are doing a lot of work on deep learning-based approaches in the BCI field right now. Moreover, there is a great demand for a study that emphasizes only deep learning models for EEG-based BCI applications. Therefore, we introduce this study to the recent proposed deep learning-based approaches in BCI using EEG data (from 2017 to 2022). The main differences, such as merits, drawbacks, and applications are introduced. Furthermore, we point out current challenges and the directions for future studies. We argue that this review study will help the EEG research community in their future research.