Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of Spraying with Extract of Water Hyacinth and Silverleaf on Dry Weight of Weeds and Specific Characteristics of Sunflower (Helianthus annuus L.)

A field experiment was carried out in one of the special fields Al-Jazirah - Al-Budhiyab located at latitude 38.28° north and longitude 43.19° east, to find out the effect of different concentrations of the extract of the Water hyacinth and silverleaf plants in three varieties of sun flower. The experiment was applied using a split-plate arrangement within an RCBD design with three replications. The main plots were represented by the varieties Ishaqi, Sakha, and Iqmar, and the sub plots included the spray concentrations (0, 5, 15 and 25 mg L-1). The results showed that there were no significant differences between the cultivars in both the spring and fall seasons. As for the extracts, Water hyacinth gave the highest average dry weight of the weeds (0.076 and 0.028 g m2) in both seasons, respectively. The silverleaf herb extract reduced the dry weight of the weeds (0.057 and 0.020 g m2) in both seasons, respectively. While silverleaf in the fall season gave the highest average percentage of oil and carbohydrates (3.85 and 67.48%) for the two grades, respectively. Also, the concentrations 5 and 15 mg L-1 were increased from the dry weight of the weeds (0.078 g m2) of the two concentrations, respectively. Whereas, the concentration increased by 25 mg L-1 from the dry weight of the weeds (0.033 g m2) in the fall season. Whereas, the concentration reduced 0 mg L-1 of the dry weight of the weeds (0.035 and 0.015 g m2) in both seasons respectively. We conclude that there is fluctuation in the effect of the extracts on the behavior of the varieties and their manifestation of the results due to the overlap of study factors and in different directions, so it is recommended to single out the factors in their influence on the varieties to know more accurately the behavior of those varieties.
Kernel Regression for Energy-Optimal Control of Fully Electric Vehicles

This paper presents a control algorithm for electric vehicles (EVs) with multiple motors. The control algorithm minimizes the EV's energy usage by optimizing the efficiency of its electric motors. The degrees of freedom exploited by the control algorithm are the torque-split ratio between multiple motors, the transmission gear ratio, as well as the velocity profile of the EV. The algorithm uses kernel regression to learn a pseudo-convex cost function for optimal control from tabulated data of the electric motors' efficiency maps. The main advantages of the algorithm are its real-time feasibility due to the pseudo-convex shape and its flexible approximation capabilities. A simulation study shows how an EV with multiple but different motors and a torque-split controller can efficiently exploit the range of operation of the individual motors. The proposed algorithm achieves energy savings of up to 20% and 40% for the US06 and Urban Dynamometer Driving Schedule (UDDS), respectively, by leveraging the strengths of the different electric motors. Finally, we show that the energy-optimal velocity profile varies for different EV specifications as a result of their motor efficiencies. In particular, compared to a profile with constant acceleration, the proposed kernel regression algorithm achieves energy savings of up to 13%.
Carrier‐Phase Multipath Corrections for GPS‐based Satellite Attitude Determination

: Multipath errors in GPS carrier-phase data dominate the error budget for short-baseline applications such as static and kinematic relative positioning and vehicle attitude determination. This paper demonstrates the high degree of spatial repeatability of these errors for a spacecraft environment and describes a correction technique, termed the sky map method, which exploits the spatial correlation to correct measurements and improve the accuracy of GPS-based attitude solutions. Examples of CRISTA-SPAS satellite results are presented.
The socio-economic effect on microplastic pollution of boiled salted fish

Boiled salted fish is one of the favorite fish processing commodities in Bogor. Every year its production increase in line with potential health hazards for consumers, one of which is caused by contamination of raw materials by microplastics. The socio-economic of people were suspected of having influenced the occurrence of the contamination. The study area took place in Bogor, aiming to analyze the correlation between socio-economic and microplastic contamination in boiled salted fish. The purposive sampling method was used in this study on 150 consumers representing gender, age, education, occupation, and income. The result was analyzed with descriptive and inferential statistics using the likelihood ratio, wald, and odds ratio test to determine which variables had the most influence. The analytical results showed that the variables of gender and education had a significant correlation (95%) with 0.5-7 times of risk. It is shown in the wald result, and the odds ratio is 2.619-17.182 (more than x2 (df,a) value) and 0.453-7.044. It can be concluded that the potential of microplastic contamination in boiled salted fish correlated with gender and level of education and can be controlled by enhancing the understanding of gender groups through improving public education to a higher level.
The Effect of Different Nano-irrigation Systems on Some Hydraulic Parameters for Evaluaing Drip Irrigation Systems

A field experiment was conducted in Al-Habbaniyah district/Al-Khalidiya district/Al-Anbar governorate, western Iraq, in Silty loam soil during the fall season 2020, to study the effect of surface and subsurface drip irrigation and perfusion irrigation with nanotechnology on some international standards to evaluate the performance of the work of irrigation systems after using them in plowed and uncultivated soils. plowed. Perfusion was done when 50% of the prepared water was depleted, the treatments were distributed according to the Nested-Factorial Experiments Design (NFED) with three replications. The yellow corn, cultivar Euphrates, was planted on 15/7/2020. The American evaporation basin, class A, was used in the timing of irrigation. According to the rate of water consumption in terms of the equivalent depth of the added water, the total yield and the efficiency of water use. The results showed giving the best discharge rate, homogeneity coefficient and percentage variation in the system drainage before planting at pressure of 100 kPa, which amounted to 2.27 L hr-1, 98.91 and 7.69%, respectively, while these parameters decreased after planting and reached the best in the perfusion irrigation system, which amounted to 2.25 L hr-1, 98.11 and 16.31% at the same operating pressure sequentially, while the lowest amount of these parameters after planting was 1.90 L hr-1, 90.95 and 41.66% respectively in the surface drip irrigation system under an operating pressure of 50 K Pas.
Being a Parent of the Sickest Child: Malaysian Perspectives

Mechanically ventilated children make up a small but growing segment of society's vulnerable population. The aim of the study was to understand the caring experiences of parents toward their mechanically ventilated children. This interpretive descriptive study was performed in the PICU of one tertiary hospital in Malaysia. The participants were purposively sampled. Semi-structured interviews were conducted with 21 parent caregivers of 18 children. Data were analysed by using Atlas.ti version 9. Thematic analysis was done and yielded the main theme, “The unpleasant experience in PICU” which emerged from two subthemes: “The feeling of uncertainty” and “Recognizing the new child”. The study concluded that parents had fluctuating emotion throughout the stay. Positive parent-nurses interaction maintain the psychosocial health in embracing their
Constructing Secure Multi-Party Computation with Identifiable Abort Cheater Identification via Graph Theory in the Dishonest Majority Setting

We propose an intuitive approach for constructing and analyzing Multi-Party Computation protocols with Identifiable Abort (ID-MPC) based on simple graph-theory. On a high level, in our approach, honest parties publicly announce conflicts with malicious parties via broadcast whenever they catch them misbehaving, thus inducing a Conflict Graph (CG). We directly link the sufficient and necessary conditions for the (identifiable) abort of a protocol to publicly verifiable graph-theoretical properties of the Conflict Graph. To demonstrate its power, we use our technique to reduce the necessary requirements for ID-MPC in the Universal Composability framework with a dishonest majority. State-of-the-art protocols in the dishonest majority setting are posited in the Correlated-Randomness model where one n -party setup provides randomness that is n -wise correlated to all other parties’ randomness. Using our technique we are able to reduce the degree of correlation in the this randomness from n to n − 1 . Additionally, if n is sufficiently small, then our upper bound can be transitively expanded, i.e., for t ≤ n − 3 corruptions among n parties we can construct n -party ID-MPC from correlated randomness among each set of t + 2 parties.
A Method for Enhancing Ride and Safety Properties of Vehicles Driven by In-Wheel Motors

Abstract In this paper, a method for reducing unspring mass and improving ride property of vehicles driven by in-wheel motors will be provided. To begin with, the advantages of vehicles armed with in-wheel motors will be described, after which some drawbacks of this idea will be studied. Then, for a better analysis, quarter car model will be studied in frequency domain. Gain of body acceleration and wheel dynamic load, which can be equal to ride property and safety performance respectively, will be compared. Finally, an idea that makes the drive motor suspend will be proposed for enhancing the two properties and then a semi-active control theory will be studied. Through the comparison in time domain and frequency domain, it comes to a conclusion that vehicles driven by suspended motors not only simplified the structures but also can be used as an absorber for vibration reduction.
Priming Caution Does Not Decrease Receptivity to Fake News

Fake news is fabricated news content that is presented as factual for the purpose of ideological and financial gain. Much of the existing research seeks to find ways to reduce people’s susceptibility to fake news. The first aim of this study was to replicate findings that suggest higher scores on the Cognitive Reflection Test (CRT) are linked with lower receptivity to fake news. The second aim was to test whether this relationship would be affected by priming cautions, either General or Specific, about the possibility that the information in question may be fake. It was predicted that exposure to a General caution would reduce the receptivity to fake reports, and that a Specific caution would lead to a further decrease in susceptibility. A total of 55 males and 56 females first completed the CRT, then evaluated a series of three true and three fake news articles through a set of four questions via an online survey. The results showed that indeed higher CRT scores were correlated with lower receptivity to fake news; however, using priming cautions did not have an effect on reducing susceptibility to fake news. It was concluded that analytical ability is the most important predictor for being able to recognize false media content. Implementing workshops or developing apps to improve critical thinking skills might help to improve the analytical abilities of individuals, thus making them less vulnerable to fake news.
Multi-Source Domain Adaptation with Weak Supervision for Early Fake News Detection

Recently, the massive and diverse fake news from politics to entertainment and health has amplified the social distrust problem and has become a big challenge for the society and research community. The existing fake news detection methods are mostly designed for either a specific domain or require huge labeled data from various domains. If there is not enough labeled data in a certain domain, existing models may not work well for detecting fake news from that domain. To overcome these limitations we propose a novel framework based on multisource domain adaptation and weak supervision for early fake news detection. The framework transfers sufficient labeled source domains’ knowledge into a target/new domain with limited or even no labeled data by the multi-source domain adaptation, and applies researchers’ prior knowledge about fake news to the target domain by the weak supervision. The weak supervision assigns the weak labels to the unlabeled samples in the target domain through known heuristic rules. Our experimental results show that our approach outperforms 7 state-of-the-art methods in three real-world datasets. In particular, our model achieves, on average, 5.2% higher accuracy than the best baseline. Our model with a more advanced encoder can further boost the performance by 3.7%. The code is available at this clickable link.
Implementing Distributed Approximate Similarity Joins using Locality Sensitive Hashing

Similarity joins are a basic primitive in data mining. Given two sets of points, we are interested in reporting all pairs of points whose similarity is above a user-defined threshold. Solving the problem naively entails verifying all possible pairs, which can be infeasible for large inputs. In such contexts, Locality Sensitive Hashing (LSH) is often considered to reduce the number of pairs to verify. However, while it provides subquadratic running time, large input sets make it nevertheless necessary to resort to distributed computing. Hu, Yi, and Tao (PODS’17, TODS’19) proposed a nearly load-optimal LSH-based join algorithm and provided a small-scale experimental study in a distributed setting. This paper provides further analysis of their approach. It shows that the load-minimizing parameter settings by Hu et al. incur too much local work, rendering it impractical. To remedy this drawback, we propose two approaches: The first distributes work in a data-independent way, while the second adapts to the data distribution using LSH. Both schemes then use LSH to solve subproblems locally. This allows to balance load and the amount of local work. Through an experimental evaluation, we show that the transition from theory to practice for Hu et al.’s approach is challenging: it is hard to strike a good tradeoff between the load and the amount of local work of each processor, load balancing is itself an issue, and LSH may introduce duplicates in the output. Our extensive experimental evaluation is supported by an efficient open source implementation of all the methods we test. Our results highlight the need for an holistic approach: only focusing on the load, as tradition in the MPC model, might not make efficient use the available resources and better trade-offs between local work and load are possible.
Enhancing organisational resilience: application of viable system model and MCDA in a small Hong Kong company

The aim of this article is to combine the use of the viable system model (VSM) and a multi-criteria decision aid (MCDA) based on Superiority and Inferiority Ranking methodology for enhancing organisational resilience. VSM is applied to capture the cybernetic strengths and weaknesses of an organisation. The structural arrangements and cybernetic criteria, related to organisational resilience, are identified. In order to evaluate the structural arrangements, MCDA is adopted as a systematic approach for determining the most preferred option. A sample study of a small enterprise in Hong Kong is illustrated, in which the computation of the system-in-focus in the context of viability is based on a set of criteria related to corporate credibility and autonomy-control dilemma. The development of integrated approach using VSM and MCDA could, in the future, serve as a supporting decision-aid tool, which would be used to guide management in their choice of organisational resilience solution. The preliminary result shows that the proposed approach provides management with an objective and systematic means to make organisational resilience decisions by evaluating various structural arrangements of an organisation for achieving adaptation in a changing business environment. Besides, the MCDA approach can be used to enhance the value of VSM.
Conceptual Framework and Empirical Evidence

In recent years, there has been considerable discussion on water and poverty. There is a growing recognition that there are strong linkages between water and poverty, both in terms of alleviation as well as perpetuation of poverty (resulting from mismanagement of water resources). In addition to being a basic need for survival of living beings, water is a key resource for development. With a belief that water can drive socio-economic development, many developing countries have promoted water resources over the last five decades. Huge investments have been made in water resources development to achieve several broader objectives such as economic growth, rural and agricultural development, national food security, protection against famines and intensification of land use. All these efforts are believed to have contributed to considerable reduction of absolute and chronic poverty and hunger in most developing countries.
The optimality of public–private partnerships under financial and fiscal constraints

The government may delegate two sequential tasks (e.g., building and operating an infrastructure) to the same or different agents (i.e., partnership versus sequential contracts). Agents are risk-neutral but face financial constraints, whereas the government’s contractual capacity may be limited by the renegotiation-proof and fiscal constraints. By relying on history-dependent incentives, the partnership contract corrects moral hazard more effectively than sequential contracts. Thus, it is socially preferred unless bundling different tasks deteriorates the agent’s financial conditions. Our results shed new light on the role of firms’ financial and government’s fiscal conditions in driving the cost-benefit analysis of public-private partnerships.
A Framework for Music Similarity and Cover Song Identiﬁcation

This paper presents a framework for music information retrieval tasks which relate to music similarity. The framework is based on a pipeline consisting of audio feature extraction, feature aggregation and distance measurements, which generalizes previous work and includes hundreds of similarity models not previously considered in the literature. This general pipeline is subjected to a comprehensive benchmark of analogously deﬁned music similarity models over the task of cover song identiﬁcation. Experimental results provide scientiﬁc evidence for certain preferred combined choices of features, aggregations and distances, while pointing towards novel combinations of such elements with the potential to improve the performance of music similarity models on speciﬁc MIR tasks.
Frequency Actuated Load Shedding and Restoration Part II - Implementation

Power systems must be operated within limits that will ensure adequate generation and transmission capacity to avoid cascading. In developing a set of operating limits, it is important to do so within a general framework in order to ensure that the operating objectives are met. In this regard, a set of general guidelines are presented below: 1. The integrity of the transmission system will be maintained at all times without planned internal separation. 2. Maximum reasonable assistance will be given to adjacent systems experiencing difficulty. However, such assistance will be terminated ? without opening interconnection circuits ? when the reliable operation of the assisting system is impaired. 3. The system should be operated so that the occurrence of the next single contingency (outage of tower, circuit, unit, breaker, bus, etc.) will not result in a cascading loss of the bulk transmission system. The single contingency is continually geared to the current state of the system and reflects maintenance and forced outage events as they occur. In addition, when evaluating overload contingencies, the time to relieve the stress must be compared to the permissible degree of overload. 4. When the system experiences a generation-load imbalance, the principles of sound interconnected operation will be maintained by bringing under control an unscheduled tie-line power flow condition as quickly as possible.
A unified formulation of segment companding laws and synthesis of codecs and digital compandors

Segment companding laws are being considered for use in PCM to cater to the possibility of digital processing of uniformly quantized signals. A unified formulation of the segment companding laws is presented, which permits the detailed structure of quantization to be explicitly characterized. Most important, it is shown that this formulation yields algorithms for the systematic synthesis of coders, decoders, and digital compandors. Examples of circuits synthesized from the algorithms are shown for two segment law companding families — the μ-law and the A-law.
Experiences of Opening Up Communicative Spaces for Large-Scope Issues

The continuously changing world creates new challenges, large-scope issues, both at the community and the organizational level. Currently, sustainable development is among the key issues demanding organizational learning and new ways of operation. The paper looks for the potential of Scandinavian communicative-oriented action research (AR), applied in dialogue forums, to enhance learning and planning of integrative solutions to meet the needs of various actor groups. The paper links two intertwined AR lines of a Finnish work research institute to the contexts of classic and current AR discussion and their original social conditions in the early 1990s, when they were challenged by a severe recession. The characteristics of communicative spaces applied in the two cases are analysed qualitatively. The data, consisting of case reports, are reread and interpreted in a framework that concretizes Habermasian ideals of free communication. The elements of organisational learning and power embedded in the organisational positions of the participants dealing with large-scope societal issues are made explicit. Free communication and joint agreements of concrete plans require active agency that can be learned in a psychologically and socially safe communicative space where Habermasian lifeworld and system interact. The research shows the malleability of dialogue-based communicative spaces that can be applied in versatile social and organizational conditions. A future option would be a continuous dialogue applied in permanent dialogue structures.
The price behavior of the MGO bunker market: An integrated causality and interpretive structural modeling approach

Marine fuel price differences of supply centers have a significant effect on operators’ budgets, and so are closely monitored by traders, charterers and shipowners. The aim of this study is to determine the volatility spillovers between the prices of the major fuel centers in the world and to form a hierarchical structure based on the influence and dependence powers of these centers. For this purpose, an integrated structure of causality in variance and Interpretive Structural Modeling (ISM) methods are used. The data set used in this study includes marine gas oil (MGO) prices for 8 fuel centers used extensively in the world, namely: Fujairah, Hong Kong, Houston, Istanbul, New York, Piraeus, Rotterdam, and Singapore. This data consists of 782 daily observations covering a 3-year-period between 14.04. 2017 and 13.04. 2020. The ISM results reveal that these fuel centers lie at 6 different levels based on their driving and dependence powers, sources of price volatility in the market are Fujairah and Singapore, and the center that is most affected by volatility is Piraeus. In addition to drawing a macro frame for the fuel market, the results obtained are thought to be useful in reducing risk in the market due to uncertainty for stakeholders.