Miracle-dz/UniFAR-FTUs huggingface dataset:
Enhanced FSS Architecture for Shift Power Optimization using Machine Learning

— Scan shift power consumption is one of the major concerns in low power circuits. While there are multiple design for testability (DFT) techniques proposed in the literature for addressing both peak and average shift power optimization, most of the solutions impose additional design overhead which may impact functional performance of the device. In this work a novel frequency scaled segmented scan architecture which adopts a custom test method based on scan shift frequency scaling and shifting of scan data using multi-phase clock latching mechanism. Structured scan based testing is one of the widely used method to screen devices for various manufacturing defects. In addition, critical issue is the selection of tests covering the scenarios, which can lead to power issues during test application. After the accurate analysis of some tests covering worst-case scenarios, it might be still possible that other tests exist, which will cause power-related issues. Also the corrective iteration for some patterns may not be applicable to other test patterns. This work targets the identification of worst-case test power related issues by means of prediction. We propose the use of a Machine Learning (ML)-based prediction mechanism to characterize the test power behavior of all tests, thereby avoiding the detailed resource-consuming analysis of all test patterns.
Board characteristics and financial institutions’ performance: Evidence from an emerging market

How to cite this paper: Bajaher, M. S. , Thabet, O. B. , Alshehri, A. , & Alshehri, F. (2021). Board characteristics and financial institutions’ performance: Evidence from an emerging market. Journal of Governance & Regulation, 10(2), 84–95. https://doi.org/10.22495/jgrv10i2art8 Copyright © 2021 The Authors This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). https://creativecommons.org/licenses/by/
Genetic Diversity based on Cluster and Principal Component Analyses in Potato (Solanum Tuberosum L.) for Yield and Processing Attributes

The potato plant is a versatile food crop and a cheap source of food in many countries. It is the third most important food crop in terms of consumption in the world after rice and wheat. The genetic diversity of potatoes Solanum Section Petota (Solanaceae) may be grouped in wild and cultivated potatoes. The cultivated potatoes Solanum tuberosum are tetraploid (2n=4x= 48), while the native are highly diverse, diploids (2n=2x=24), triploids (2n=3x=36), tetraploids (2n=4x=48), pentaploids (2n=5x=60) and hexaploids (2n=6x=72). For a successful breeding program, the presence of genetic diversity and variability play a vital role [1]. Information on genetic diversity in elite germplasm is essential for identifying promising lines for trait of interest and estimating genetic distinctness among parents. Selection of genetically diverse parents is mandatory for exploitation of trangressive segregation. Vast genetic distance among parents is prerequisite for securing useful heterosis in progeny. Diversity in plant genetic resources provides opportunity for plant breeders to develop new and improved cultivars with desirable characteristics, which include both farmer-preferred traits (high yield potential, large seed, etc.) and breeder-preferred traits (pest and disease resistance and photosensitivity, etc.). Genetic diversity facilitates breeders to develop varieties for specific traits like quality improvement and tolerance to biotic and abiotic stresses [2].
K–2 Teachers’ Attempts to Connect Out-of-School Experiences to In-School Mathematics Learning

In this article, the authors report on a 3-year professional development research project. The project focused in general on early mathematics teaching and learning in urban schools and in particular on promoting teachers’ awareness of the importance of making connections between students’ out-of-school experiences to promote deep understanding of K–2 school mathematics. Children cross into school spaces bringing with them a wide variety of out-of-school experiences; this is especially true in the early elementary grades when they have spent more of their lives out of school than in school. Effective teaching at this level requires that teachers put forth concerted efforts to make connections between these out-of-school experiences and formal curricular content. The authors present the strategies that participating teachers (n = 49) employed in their attempts to make such connections as well as implications for future professional development research.
Spatial Distributions of Female Child Marriage and Associated Factors in Ethiopia: Evidence from Demographic and Health Survey

Background In Ethiopia, around million girls were exposed to the risk of child marriage in the country according to previous study report. But this report was not clearly identified and documented the potential local clusters of prevalence of child marriage and associated factors in the country. Objective This study was aimed to assess spatial distributions of female child marriage and associated factors in Ethiopia using the 2016 Ethiopian demographic and health survey data. Methods The study was conducted based on the 2016 Ethiopian demographic and health survey. Data analyzed were taken from 2903 women aged 20-24 years. Local Anselin Moran's I was used to identify potential local clusters of high prevalence of child marriage. Generalized estimating equations for binary outcome was used to identify associated factors of child marriage. Adjusted odds ratio (AOR) with its respective 95% confidence interval was reported to show the strength of association. Results The finding of this study showed that prevalence of child marriage in Ethiopia was 40.2% [95%CI: 38.4, 42.0]. In this study also, potential local clusters of high prevalence of child marriage were identified. Local region and educational status were determinant factors of child marriage in the country at 5% level of significance. Conclusions In this study, local region and educational status were determinant factors of child marriage in the country. To address the problems of child marriage concerned government bodies in collaboration with partners should provide massive awareness creation about child marriage and its effects in the country for the local communities.
Analysis of Optimum Temperature and Calcination Time in the Production of CaO Using Seashells Waste as CaCO3 Source

Seashells waste is abundant in coastal area, especially in the locations where fisheries are a major occupation. This abundant resource of seashells opens a new opportunity further utilization. Seashells waste is a source of CaCO3, which may be converted into CaO via the calcination process. This study analyzed the characteristics of the CaO produced via calcination process at different temperature and calcination time. The calcination process was carried out at a temperature of 800°C, 900°C, and 1000°C with variation of 2, 3, and 4 hours in time. The Fourier transform infrared spectroscopy (FTIR) result showed that the spectrum of 2513 cm-1 as an indication of the C-H group containing CaO appearing after calcination. The FTIR results suggest that the calcination time did not gave major alteration to the functional groups. The results of X-ray diffraction (XRD) analysis showed that CaO laid at the angle of 58.1o and 64.6o. Scanning Electron Microscopy–Energy Dispersive X-Ray Spectroscopy (SEM-EDS) results showed that the most significant compositional outcome after the calcination process was Ca and O at all temperatures and calcination times. All calcined seashells showed rough surface and irregular shape particles. The result of a Thermogravimetric analysis (TGA) suggested that the highest mass alteration occurred at a temperature of 800°C with 78 mins of calcination time.
Adaptive Control of Differentially Private Linear Quadratic Systems

In this paper we study the problem of regret minimization in reinforcement learning (RL) under differential privacy constraints. This work is motivated by the wide range of RL applications for providing personalized service, where privacy concerns are becoming paramount. In contrast to previous works, we take the first step towards non-tabular RL settings, while providing a rigorous privacy guarantee. In particular, we consider the adaptive control of differentially private linear quadratic (LQ) systems. We develop the first private RL algorithm, Private-OFU-RL which is able to attain a sub-linear regret while guaranteeing privacy protection. More importantly, the additional cost due to privacy is only on the order of $\frac{\ln(1/\delta)^{1/4}}{\varepsilon^{1/2}}$ given privacy parameters $\varepsilon, \delta > 0$. Through this process, we also provide a general procedure for adaptive control of LQ systems under changing regularizers, which not only generalizes previous non-private controls, but also serves as the basis for general private controls.
Role of dopamine type 1 receptors and DARPP-32 in Δ 9 -THC-mediated induction of Δ FosB in the mouse forebrain

Δ 9 -Tetrahydrocannabinol (THC), the main psychoactive component of marijuana, produces motor and motivational effects via interactions with the dopaminergic system in the caudate-putamen and nucleus accumbens. However, the molecular events that underlie these interactions following THC treatment are not well understood. The current study showed that pretreatment with dopamine D 1 receptor (D 1 R) antagonists prior to repeated administration of THC attenuated induction of Δ FosB in the nucleus accumbens, caudate-putamen, amygdala and prefrontal cortex. Anatomical studies showed that repeated THC induced Δ FosB in D 1 R containing striatal neurons. Dopamine signaling in the striatum involves phosphorylation-specific effects of dopamine-and cAMP-regulated phosphoprotein, Mr 32 kDa (DARPP-32), which regulates protein kinase A signaling. Genetic deletion of DARPP-32 attenuated Δ FosB expression measured after acute, but not repeated, THC administration in both the caudate-putamen and nucleus accumbens. THC was then acutely or repeatedly administered to wild-type and DARPP-32 KO mice, and in vivo responses were measured. DARPP-32 KO mice exhibited enhanced acute THC-mediated hypolocomotion and developed greater tolerance to this response relative to wild-type mice. Agonist-stimulated [ 35 S]GTP γ S binding showed that cannabinoid-stimulated G-protein activity did not differ between DARPP-32 KO and wild-type mice treated with vehicle or repeated THC. These results indicate that D 1 Rs play a major role in THC-mediated Δ FosB induction in the forebrain, whereas the role of DARPP-32 in THC-mediated Δ FosB induction and modulation of motor activity appears to be more complex.
The Theoretical Framework of Design Thinking Behavior Model

Presently, established research and development (R and D) based companies employ various expertise from different knowledge domains mainly to study and develop new products. These multidisciplinary organizations were formed with an integrated structure of various domains that include engineering, conceptual design, manufacturing, marketing, human factors, information technology and human resources. However, each domain comprises different characters of design thinking behavior, which results in dissimilar understanding of fundamental issues, user problems, product functions, aesthetic value and problem solution. Therefore, these differences, will affect the achievement of task objectives and timeframes. In relation to this, our paper approached a multidisciplinary organization to present a theoretical framework for studying the character of the design thinking behavior model from different knowledge domains involving a new product development process (NPD). The research utilized the Design Protocol Analysis (DPA) methodology, through observation on design experiments. Thirty participants were selected from different groups of knowledge domain and were tested on their behavior as part of the data collection. The data analysis clarified the specific character of design thinking behavior from a different domain groups, thus elucidating some queries on how the they defined task brief, focused factors, understanding the fundamental issues, extracting and composing information for problem-solving. Based on the research findings, the role and capability of each domain in the organization will be optimized, thus it proposes an appropriate position within a multidiscipline organization.
The perceived impact of length of the diagnostic pathway Is associated with health- related quality of life of Sarcoma survivors Soomers,

Background: Sarcoma patients often experience a long time to diagnosis, known as the total interval. This interval can be divided into the patient (time from symptoms to doctor consultation) and diagnostic intervals (time from first consultation to diagnosis). In other cancers, a long total interval has been associated with worse outcomes, but its effect on health-related quality of life (HRQoL) has never been investigated among sarcoma patients. This study investigates the association between (1) the actual time to diagnosis and HRQoL; (2) the perceived impact of the diagnostic interval length and HRQoL; (3) the actual length and perceived impact of the length and the HRQoL of sarcoma survivors. Methods: A cross-sectional study was performed among sarcoma patients aged ≥18, diagnosed 2–10 years ago in the Netherlands. The participants completed a questionnaire on HRQoL, the time to diagnosis, the perceived impact of the diagnostic interval on HRQoL, and coping. Results: 1099 participants were included (response rate, 58%). The mean time since diagnosis was 67.4 months. More than half reported a patient (60%) or diagnostic interval (55%) ≥1 month. A third (31%) perceived a negative impact of the diagnostic interval length on HRQoL. Patient or diagnostic Cancers 2020, 12, 2088; doi:10.3390/cancers12082088 www.mdpi. com/journal/cancers Cancers 2020, 12, 2088 2 of 13 interval length was not associated with HRQoL. By contrast, participants perceiving a negative impact (32%) had lower HRQoL scores than those perceiving a positive (11%) or no impact (58%) (p = 0.000). This association remained significant in a multivariable model, in which maladaptive coping strategies and tumour characteristics were also found to be associated with HRQoL. Participants perceiving a negative impact of the length of the diagnostic interval related this to high psychological distress levels, more physical disabilities, and worse prognosis. Conclusion: The perceived impact of the diagnostic interval length was associated with the HRQoL of sarcoma survivors, whereas the actual length was not associated with HRQoL. Maladaptive coping strategies were independently associated with HRQoL. This offers opportunities for early intervention to improve HRQoL.
I/O-GUARD: Hardware/Software Co-Design for I/O Virtualization with Guaranteed Real-time Performance

For safety-critical| computer systems, time-predictability and performance are usually required simultaneously in I/O virtualization. However, both requirements are challenging to achieve due to complex I/O access path and resource management at system level and lack of support from preemptive scheduling at I/O hardware level. In this paper, we propose a new framework, I/O-GUARD, which reconstructs the system architecture of I/O virtualization, bringing a dedicated hardware hypervisor to handle resource management throughout the system. The hypervisor improves system real-time performance by enabling preemptive scheduling in I/O virtualization with both analytical and experimental real-time guarantees. Specifically, I/O-GUARD is a First-of-Its-Kind framework for multi-/many-core I/O virtualization.
Implementation and Evaluation of Priority Processing by Controlling Transmission Interval Considering Trafﬁc Environment in a Dynamic Map

—Much attention has been attracted to the research of cooperative automatic driving that focuses on safety and efﬁciency by sharing the data obtained from sensor information of a vehicle. In addition, dynamic maps, a common information and communication platform for the integrated management of shared sensor information, are under consideration. A vehicle always sends data to a server that manages the dynamic map, and the server runs applications for driving support and control on the basis of the data, so fast information processing is required. However, congestion is a concern when data is continuously sent from vehicles to the server at high transmission intervals and when many vehicles are managed by dynamic maps on the server. In addition, the data transmission interval from the vehicle required by the road characteristics differs in actual trafﬁc environments. Therefore, congestion can be alleviated by adjusting the transmission interval of data from the vehicle in consideration of road characteristics. In this paper, a platform for a dynamic map consisting of a server and a vehicle is constructed. We have also implemented a priority processing function that sets the priority for each section of a lane, and adjusts the transmission interval on the basis of the characteristics of the road around the vehicle.
RELATIONSHIP OF ENVIRONMENTAL PHYSICAL FACTORS AND LIQUID INTAKE WITH HYDRATION STATUS OF LONTONG HOME INDUSTRY SURABAYA

A hot working environment can cause health problems for workers, one of them being dehydration. The hydration status of a worker can be influenced by the characteristic of the worker, physical environmental factors, and fluid intake. The objective of this study is to determine the relationship between workers’ characteristics, physical environmental factors, and fluid intake with the hydration status of workers. This study was conducted using the cross-sectional design method and used a simple random sampling technique to select 17 respondents and 17 home industries originally derived from 20 respondents and 20 home industries. The research location was on Jalan Banyu Urip Lor X Surabaya. Data were analyzed using cross-tabulation and fisher’s exact test with a confidence level of 95%. The data were collected through interviews, measurements, questionnaires, and verification. The results showed that there was a significant relationship between physical environmental factors, which included temperature (p = 0.002), humidity (p = 0.029), and fluid intake (p = 0.029), with the hydration status of workers. In general, it can be concluded that physical environmental factors and fluid intake are relevant towards the hydration status of workers. Therefore, it is recommended that the workers improve air circulation in the room by adding natural ventilation, an exhaust fan in the kitchen, and are advised to consume enough mineral water while working. Keywords: temperature, humidity, fluid intake, hydration status
Design and characterization of a new OFR for laboratory and long- term ambient studies

Oxidation flow reactors (OFRs) are frequently used to study the formation and evolution of secondary aerosol (SA) in the atmosphere and have become valuable tools for improving the accuracy of model simulations and for depicting and accelerating realistic atmospheric chemistry. Driven by rapid development of OFR techniques and the increasing 10 appreciation of their wide application, we designed a new all-Teflon reactor, the Particle Formation Accelerator (PFA) OFR, and characterized it in the laboratory and with ambient air. A series of simulations and experiments were performed to characterize: (1) flow profiles in the reactor using computational fluid dynamics (CFD) simulations, (2) the UV intensity distribution in the reactor and the influence of it and varying O3 concentration and relative humidity (RH) on the resulting equivalent OH exposure (OHexp), (3) transmission efficiencies for gases and particles, (4) residence time distributions (RTD) 15 for gases and particles using both computational simulations and experimental verification, (5) the production yield of secondary organic aerosol (SOA) from oxidation of α-pinene and m-xylene, (6) the effect of seed particles on resulting SA concentration, and (7) SA production from ambient air in Riverside, CA, U.S. The reactor response and characteristics are compared with those of a smog chamber (Caltech) and of other oxidation flow reactors (the Toronto Photo-Oxidation Tube (TPOT), the Caltech Photooxidation Flow Tube (CPOT), the TUT Secondary Aerosol Reactor (TSAR), quartz and 20 aluminum versions of Potential Aerosol Mass reactors (PAMs), and the Environment and Climate Change Canada OFR (ECCC-OFR)). Our studies show that: (1) OHexp can be varied over a range comparable to that of other OFRs, (2) particle transmission efficiency is over 75 % in the size range from 50 to 200 nm, after minimizing static charge on the Teflon surfaces, (3) the penetration efficiencies of CO2 and SO2 are 0.90 ± 0.02 and 0.76 ± 0.04, respectively, the latter of which is comparable to 25 estimates for LVOCs, (4) a near laminar flow profile is expected based on CFD simulations and suggested by the RTD experiment results, (5) m-xylene SOA and α-pinene SOA yields were 0.22 and 0.37, respectively, at about 3 × 1011 molec. cm−3 s OH exposure, (6) the mass ratio of seed particles to precursor gas has a significant effect on the amount of SOA formed, and (7) during measurements of SA production when sampling ambient air in Riverside, the mass concentration of SA formed in the reactor was an average of 1.8 times that of the ambient aerosol at the same time. 30
Facebook Usage During a Flood â•fi a Content Analysis of Two Local Governmentsâ•Ž Facebook Pages

During a disaster it is vital that government agencies provide timely and accurate information to the public. Lately, social media such as Facebook have become important channels for crisis communication. The purpose of this study is to identify the types of usage and topics in which users of a local governments’ Facebook page engage, during a flood. A content analysis was carried out on two local governments’ Facebook pages during two floods in 2013; The Bundaberg Regional Council’s (BRC) and the City of Calgary’s (CC). The results show that Facebook is an important channel for spreading information. Users’ engagement is especially high in real-time operational information concerning road or school closures and drinking water. Also, the coordination of relief efforts such as volunteering raises a lot of interest. Important usage types and topics to communicate through a local government’s Facebook page are proposed.