Miracle-dz/UniFAR-FTUs huggingface dataset:
Policy implementation of the performance assessment system of aparatures in Cilandak Jakarta IPDN campus

This study aims to identify and analyze and formulate a model for implementing the Apparatus Performance Assessment System Policy (Sikerja) at the IPDN Cilandak Jakarta Campus. The type of research used is descriptive with a qualitative approach. To formulate a model for the implementation of the apparatus performance appraisal system policy (Sikerja) at the IPDN Cilandak Jakarta campus, researchers used Soft System Methodology (SSM). In this study, an analysis of the implementation of the Sikerja policy was carried out with the dimensions studied were communication, resources, disposition and bureaucratic structure. The results showed that the implementation of the Sikerja policy at IPDN CIlandak Jakarta campus has been carried out quite well in the disposition and bureaucratic structure dimensions, however in the communication and resource dimensions there are still obstacles. The Implementation Model of the Apparatus Performance Appraisal System (Sikerja) policy at the IPDN Cilandak Jakarta Campus is a model that adds a dimension of commitment as an additional dimension in implementing the Sikerja policy.
Adsorption Equilibrium Study of Lead and Zinc on Rice Husk From Aqueous Solution

In this study the adsorption property of rice husk of varied particle sizes (150 μm and 500μm) was examined in the removal of lead and zinc in synthetic solution. The adsorption was done in batches; the effect of concentration, temperature, pH and contact time was examined on the adsorption and the data were fitted into different models such as Langmuir, Freundlich, Temkin, Lagergren pseudo first order and Ho’s pseudo second order. The adsorption was best fitted into the Langmuir and Lagergren models. The adsorption per unit mass was optimum at 150mg/L, at 20oC, pH 7-8 and 30 minutes. The rice husk showed a good potential in removing lead and zinc of waste water.
A Low-Noise 320×240 Digital ROIC for SiGe Microbolometers with a Fast Converging Offset Calibration Technique

This paper presents a low-noise 320 × 240 digital readout integrated circuit (ROIC) for SiGe microbolometers with a pitch size of 17 μ m. The ROIC architecture uses a column-shared capacitive transimpedance amplifier (CTIA) that senses the change in resistance of the SiGe microbolometers with respect to the column-shared reference microbolometer pixel. The output voltage of the CTIA is then digitized using a split-successive approximation register (SAR) analog-to-digital converter (ADC). Each 40 columns of the CTIA is connected to a SAR ADC with the help of a 40×1 MUX, which makes 8 parallel-operating ADCs in total. In this way, speed and power requirements of ADCs are relaxed. The offset calibration for the comparator, in the split-SAR ADC is designed using a novel two-step coarse and fine current adjusted technique. The prototype ROIC consumes 118.75 μW power per column while has an NETD of less than 9mK. Simulation results of the proposed offset-calibration technique offers a minimum conversion time of 71.78 ns with a minimum residual voltage of 42 μ V.
A taxonomy of energy optimization techniques for smart cities: Architecture and future directions

There is a drastic increase in urbanization over the past few years, which requires energy‐efficient and optimized solutions for transportation, governance, quality of life in a smart city among all the citizens. The Internet‐of‐Energy (IoE) ecosystem offers many sophisticated and ubiquitous applications for smart cities. The energy demand of IoE applications is increased while IoE devices continue to grow. Therefore, smart city solutions must have the ability to utilize energy and handle the associated challenges efficiently. Moreover, energy Optimization (EO) techniques can be used to reduce energy consumption to meet the sustainability goals in IoE. Different techniques have been proposed for EO in various fields by researchers worldwide. Computing systems also need energy optimization. The energy consumption in the data center, clouds, and blockchain (BC)‐based architectures are a point of concern at the current time. Due to the enormous energy demands of these systems, we cannot take advantage of the latest technologies to their fullest. Due to the emergence of new technologies and some limitations of proposed techniques, we can still not optimize energy usage more than some extent. There is minimal exploration done in energy optimization in BC‐based systems. In this paper, we have proposed a survey on the energy optimization techniques in various systems, including the optimization techniques in BC‐based systems. We have proposed a taxonomy that classifies energy optimization techniques. We have also proposed an energy‐efficient consensus mechanism, Proof‐of‐High Performance optimization (named as PoHPo), for High‐Performance Computing (HPC) based ecosystems. The open issues and challenges are then discussed in EO. The survey intends to propose future directions for industry professionals, green‐energy stakeholders, and researchers worldwide to explore this topic further.
The Fluxgate Magnetometer of the Low Orbit Pearl Satellites  (LOPS): overview of in-flight performance and initial results 

Abstract. The Low Orbit Pearl Satellite series consists of six constellations, with each constellation consisting of three identical micro-satellites which line up just like a string of pearls. The first constellation of three satellites were launched on September 29, 2017, with an inclination of ~ 35.5° and ~ 600 km altitude. Each satellite is equipped with three identical Fluxgate Magnetometers (FGM), which measure the in-situ magnetic field and its low frequency fluctuations in the Earth’s low altitude orbit. The triple sensor configuration enables separation of stray field effects generated by the spacecraft from the ambient magnetic field [e.g. Zhang et al., 2006]. This paper gives a general description of the magnetometer about the instrument design, calibration before launch, in flight calibration, as well as the in-flight performance and initial results. Unprecedented spatial coverage resolution of the magnetic field measurements allow for investigating the dynamic processes and electric currents of ionosphere and magnetosphere, especially for the ring current and equatorial electrojet (EEJ) during both geomagnetic quiet conditions and storms. It could be important for studying the method to separate their contributions of the M-I current system.
Self-Efficacy Perceptions of Science Teachers for Assessment Literacy

The purpose of this study is to examine the self-efficacy perception levels of science teachers for assessment literacy in terms of various variables by determining them and to reveal the correlation between them. The research was designed in the scanning model, one of the non-experimental quantitative methods. The sample of the study consists of 236 teachers who are in service in the secondary schools affiliated to the Ministry of National Education in the provinces and districts of Elazig in the 2019-2020 academic year. “Self-efficacy perception scale for assessment and evaluation” was applied as data collection instrument in the study. In the analysis of the data obtained through the data collection instrument, in addition to descriptive statistics, t-test and one-way analysis of variance were used for independent samples. As a result of the research, it was determined in the comparisons that the self-efficacy of the teachers and their sub-dimensions for assessment literacy presented a significant difference in favor of the female teachers according to the gender variable. Moreover, it was concluded that the self-efficacy of the teachers and their sub-dimensions for assessment literacy significantly differ in favor of the teachers who received postgraduate education according to the educational status variable. Whereas there was no statistically significant difference in self-efficacy for assessment literacy according to the seniority variable, it was observed that the sub-dimensions of self-efficacy for assessment literacy were significantly different in favor of the teachers who were between 1-10 years of seniority according to the seniority variable. Some recommendations were provided within the scope of the results obtained at the end of the research.
Factors that Influence to Intention to Use Electronic Money by UTAUT Model Approach

The purpose of this study was to determine antecedent Intention to Use Electronic Money with UTAUT model approach. This research uses descriptive quantitative method. Data were collected as many as 152 respondents. The sample in this study was 152 respondents by using purposive sampling of Malang city society who were over 13 years old and wanted or had used electronic money. Data analysis by structural model assessment with the Partial Least Square (PLS) analysis method. The results indicated that UTAUT model that consists of performance expectancy, effort expectancy, social influence and behavioral intention had positive influence on the intention of Malang society to use electronic money. These result implications for the government and service provider companies to always develop better innovations in the administration of electronic money by adding facilities that could be enjoyed by users when using electronic money.
Ecological and hydrological considerations for climber weed control in freshwater forested wetland restoration project on the Gulf of Mexico

Two herbaceous Ipomoea climbers grow over trees planted to restore a freshwater forested wetland in the Gulf of Mexico, causing high tree mortality and limiting restoration success. To better control these species, we evaluated their potential for biomass accumulation and regeneration following removal. We simulated the tree-climber relationship in a field experiment by varying light conditions and trellis availability, and by cutting aerial biomass. We also considered the spatial variability of the wetland’s flood level. Ipomoea tiliacea accumulated more biomass at low flood levels, while Ipomoea indica accumulated more biomass at higher flood levels. Despite this, I. tiliacea accumulated more biomass over the entire flood level gradient and the highest flood levels seem to prevent regeneration in both species. There was no vine seed germination, so for both species, regeneration relied on shoot production. I. tiliacea increased its growth more than I. indica when trellises were available, even under shade. It means that that restoration conditions favor I. tiliacea, which makes its management specially challenging. We recommend characterizing hydrology of the site under restoration to design more effective Ipomoea control strategies. Future efforts to restore this forested freshwater wetland should select areas with the highest flood levels, where I. tiliacea growth is limited, ensuring that the trees to be planted can withstand the flood levels. Removal should be avoided during the dry season, when low flood levels favor regeneration in both species.
Load balancing for software-defined network: a review

Software Defined Networks (SDN) concept reduces the complexity of the traditional network. The decentralization of controlling issues of the traditional networks in SDN increases the popularity of this concept, but the difficulty in balancing the load persists in the SDN. If the sharing of the load is not uniform; the performance of the network is affected. Several research issues arise in managing the request of the forwarding devices and providing the correct solutions, these research issues are like traffic monitoring, security, quality of service, and load balancing. Earlier, many load balancing strategies have been proposed for the improvement of the performance of Software Defined Networks. This paper summarizes the research trends and their methodologies for the load balancing in the area of model-based, estimation-based, and nature-inspired algorithms. We have also compared the methodologies used for load balancing.
Test–retest reliability and criterion-related validity of Shih–Hsu test of attention between people with and without schizophrenia

Introduction The “Shih–Hsu Test of Attention” (SHTA) is an iPad-based attention assessment tool developed in recent years by occupational therapists and has acceptable criterion-related validity and high test–retest reliability in preliminary application. This research project explores the criterion-related validity and test–retest reliability of SHTA between people with and without schizophrenia. Method The participants were 76 adults with schizophrenia aged 20–64 years, and 66 adults without diagnosed mental illness aged 20–64 years were recruited in this study on a voluntary basis. Each participant was assessed twice. The participants completed both the SHTA and Chu’s Attention Test (CAT) in the first test and the SHTA after 3 weeks. Findings Analytical results indicate that the SHTA has satisfactory test–retest reliability (ICC = 0.67) and criterion-related validity (γ = 0.29, p < 0.05*) for adults with schizophrenia and has high test–retest reliability (ICC = 0.90) and criterion-related validity (γ = 0.25, p < 0.05*) for adults without diagnosed mental illness. The MDC% value for the subjects without diagnosed mental illness was 12.1%, indicating acceptable random measurement error. Conclusion Our preliminary findings show that the iPad-based attention assessment tool, SHTA, has satisfactory criterion-related validity and test–retest reliability, supporting the future application of SHTA as an attention assessment tool.
Prediction and Explanation Models for Hot Metal Temperature, Silicon Concentration, and Cooling Capacity in Ironmaking Blast Furnaces

Herein, the establishment of data‐driven prediction and explanation models for three essential process variables in ironmaking blast furnace processes, namely hot metal temperature, silicon concentration, and cooling capacity is demonstrated. Aside a reliable prediction quality of the models with sufficient prediction horizon, an additional main goal has been to establish interpretable and revealing models. To support (linguistic) interpretability, the main focus has been set on the extraction of rule‐based models from a large database collected at a particular blast furnace process located at the partner company's site. Due to expected uncertainty in the data, due to, e.g., measurement noise, fuzzy systems are an adequate architectural choice for achieving models in a robust rule‐based form. For a fully automatic training of the predictive fuzzy systems new feature ranking methods have been performed on the one side and a special granular rule extraction procedure on the other side. Testing the obtained models on two separate test datasets from consecutive years shows a stable prediction performance without any error drifts and a higher performance than other related machine learning methods including deep neural networks, and others. Moreover, the final models, turned out to have maximal 4–5 inputs and just a couple of rules and allowed to gain new insights into the processes.
Fatty Acid Composition in Yersinia ruckeri Strains Isolated from Rainbow Trout Farms

In this study, a total of 33 Yersinia ruckeri isolates were obtained from rainbow trout farms in the five different region of Turkey. We determined to changes in fatty acids group of the strains. All the isolates were identified as Y. ruckeri based on colonical, cellular morphology and biochemical characters. All Y. ruckeri 8 major fatty acids, including 12:0 (Lauric acid), 14:0 (Myristic acid), 16:0 (Palmitic acid), 16:1n-7 (Palmitoleic acid), 17:1 (Heptadecanoic acid), 18:1n-9c (Oleic acid), 18:2n-6c (Linoleic acid), 18:3n-3c (Alfa-linoleic acid). Compared to isolates biochemical property, there was no difference between fatty acids and biochemical characteristics. The results of this study showed that the fatty acids composition of Y. ruckeri isolated strains from rainbow trout farms in Turkey is on a large scale homogenous.
The provision of
 work–life
 balance practices across welfare states and industries and their impact on extraordinary turnover

This study focusses on the provision of work – life balance practices across welfare states and industries and its effect on extraordinary turnover. Given the welfare states and the industry's differences, it is important to focus on extraordinary employee turnover defined as positive and negative deviations from the relevant means per year and by welfare state and industry. Based on a sample of 199 listed companies in these European welfare states from 2002 to 2011, the results showed that the provision of daycare services is higher in socially oriented welfare states (e.g., Sweden, Germany) or in low-technology industries (consumer services) than in liberally oriented welfare states (e.g., Italy, the United Kingdom) or in high-technology industries (e.g., IT). For the provision of daycare services, the findings support a decreasing effect on extraordinary employee turnover, whereas other practices such as flexible working, generous vacations and additional maternity leave have no effect. This study offers an exploration of the work – life balance practices in different industries and countries. It focuses not only on practices such as flexible working time (the most studied work – life balance practice) but also on other practices such as daycare services, generous vacations or additional maternity. By introducing a new measure of turnover — extraordinary turnover — positive and negative deviations from the relevant means per year and by welfare state and industry are considered. The results of the longitudinal sample over 10 years show that in socially oriented welfare states and in low-technology industries, the provision of daycare services is higher than in liberally oriented welfare states and in high-technology industries. The provision of daycare is also more likely to have a reducing impact on employee turnover than other work – life balance policies.
An Optimal Bit Allocation Scheme Based on Genetic Algorithm for Cooperative Spectrum Sensing in Cognitive Radio NetworksAn Optimal Bit Allocation Scheme Based on Genetic Algorithm for Cooperative Spectrum Sensing in Cognitive Radio Networks

In cooperative spectrum sensing (CSS), there are two ways for the secondary users (SU) to deliver their sensing data or local decisions to the information fusion center (FC): hard-decision (HD) and soft-decision (SD). In HD or SD, the number of bits transmitted by the SUs is always the same and static. However, considering the differences of different SUs in the environment, remaining energy, distances to the FC, and so on, the number of bits transmitted by different SUs should be different. Besides, the reliability of transmitted data by different SUs to the FC is also different. Therefore, this paper proposes an optimized bit allocation scheme based on the genetic algorithm (GA-BAS) for CSS in cognitive radio networks (CRNs). In the proposed scheme, the number of bits transmitted by each SU is different and would be allocated by the FC according to GA-BAS algorithm, and the FC would fuse the transmitted data by each SU with an allocated weight, which could represent the reliability of the SU. Firstly, a simple quantization scheme based on the sub-partitioning of the local decision space is designed to quantify the raw sensing data. Then, the objective function of the overall detection probability and the objective function of energy consumption about the number of allocated bits and the value of the allocated weight of each SU are derived. Finally, the number of allocated bits of each SU would be optimized by an improved genetic algorithm, and an overall decision rule would be given to obtain a global decision. Simulation results show that the proposed scheme (GA-BAS) gets a tradeoff between energy consumption and detection performance. In addition, the proposed algorithm achieves better detection performance, which is close to that of the equal gain combining scheme (EGC), but consumes less energy.
Development of an Optimized Process for the Preparation of 1-Benzylazetidin-3-ol: An Industrially Important Intermediate for Substituted Azetidine

A thoroughly optimized and robust process for the synthesis of 1-benzylazetidin-3-ol has been emphasized. 1-Benzylazetidin-3-ol has been utilized as a starting material in the commercial synthesis of azetidin-3-ol hydrochloride. Synthesis of azetidin-3-ol hydrochloride involves the usage of very low cost and commercially available starting material (benzylamine) and with reduced formation of di(3-chloro-2-hydroxypropyl) benzylamine significantly resulting in an economical process that allows the effective production of 1-benzyl azetidin-3-ol as well as azetidin-3-ol hydrochloride.
Développement financier, institutions et croissance en Afrique au Sud du Sahara

L’objet de cet article est de montrer qu’un cadre institutionnel politique de bonne qualite diminue le niveau seuil de qualite des institutions economiques a meme d’ameliorer l’effet du developpement financier sur la croissance economique en Afrique subsaharienne. A travers un echantillon de 30 pays de l’Afrique subsaharienne sur la periode 1996 a 2018, nous allons elaborer par un modele non lineaire de croissance endogene une estimation par cointegration sur donnee de panel. Il apparait que le developpement financier agit negativement a court terme et positivement a long terme. Les institutions modifient l’effet du developpement financier sur la croissance. Ainsi, une amelioration de la qualite des institutions politiques quittant de la moyenne des pays de l’Afrique subsaharienne vers celle des economies plus stables (Senegal), fait passe le seuil institutionnel economique de 15,7089 point a 10,3423 ; soit une baisse de 5,3666. De meme, lorsqu’on fait varier la qualite des institutions economiques de la moyenne des economies de l’Afrique subsaharienne vers celle d’une economie a forte qualite d’institutions economiques (Afrique du Sud), une hausse 1% d’ecart type du developpement financier entraine une marge de 0,0018% de gain d’efficacite productive.
Assertiveness and Fear of Negative Evaluation among Young Adults

Assertiveness is an important social skill among Young Adults that enhance their personal well-being. Assertiveness may be influenced by certain variables like Fear of Negative Evaluation, especially in social interaction situations. The purpose of the study was to analyze the relationship between Assertiveness and Fear of Negative Evaluation among Young Adults. The current study was conducted on 174 Young Adults both men and women between the age group of 18-25 years, who are residing in the cities of Hyderabad and Bengaluru. Quantitative approach was used along with Correlational research design was adopted and the sampling technique was purposive. Rathus Assertiveness Schedule (Rathus, 1978) and Brief Fear of Negative Evaluation scale (Leary, 1983) were administered on the participants to assess differences based on gender (men and women). Correlational analysis showed a moderate significant negative correlation between Assertiveness and Fear of Negative Evaluation among Young Adults. Results of t- test showed no significant difference in the level of Assertiveness and Fear of Negative Evaluation between men and women among Young Adults. The results of the study will help to develop interventions for people with low levels of Assertiveness and will also help to develop interventions for people with high levels of Fear of Negative Evaluation.