Miracle-dz/UniFAR-FTUs huggingface dataset:
Personal Web Revisitation by Context and Content Keywords with Relevance Feedback

Getting back to previously viewed web pages is a common yet uneasy task for users due to the large volume of personally accessed information on the web. This paper leverages human's natural recall process of using episodic and semantic memory cues to facilitate recall, and presents a personal web revisitation technique called WebPagePrev through context and content keywords. Underlying techniques for context and content memories’ acquisition, storage, decay, and utilization for page re-finding are discussed. A relevance feedback mechanism is also involved to tailor to individual's memory strength and revisitation habits. Our 6-month user study shows that: (1) Compared with the existing web revisitation tool Memento, History List Searching method, and Search Engine method, the proposed WebPagePrev delivers the best re-finding quality in finding rate (92.10 percent), average F1-measure (0.4318), and average rank error (0.3145). (2) Our dynamic management of context and content memories including decay and reinforcement strategy can mimic users’ retrieval and recall mechanism. With relevance feedback, the finding rate of WebPagePrev increases by 9.82 percent, average F1-measure increases by 47.09 percent, and average rank error decreases by 19.44 percent compared to stable memory management strategy. Among time, location, and activity context factors in WebPagePrev, activity is the best recall cue, and context+content based re-finding delivers the best performance, compared to context based re-finding and content based re-finding.
Towards Efficient and Effective IOMMU-based Protection from DMA Attacks

Malicious actors can carry out direct memory access (DMA) attacks to compromise computer systems. In such attacks, peripheral devices abuse their ability to read and write physical memory independently of the CPU to violate the confidentiality or integrity of a system’s data. Relatively recently, commodity architectures have incorporated the I/O memory management unit (IOMMU), which allows the CPU to govern peripheral device memory access. This thesis demonstrates that IOMMU usage in existing operating systems does not protect against DMA attacks effectively and comes with a prohibitively high performance cost. It introduces Thunderclap, a novel DMA attack platform used to carry out new attacks that completely compromise FreeBSD, macOS, Linux, and Windows, even with their current IOMMU-based protections enabled. It then presents and evaluates strategies for IOMMU usage that make strides towards efficient and effective protection from DMA attacks.
Performance Comparison of Small Cell and Distributed Antenna Systems for In-Building Mobile Communications

To bring fifth generation (5G) mobile communication capabilities to indoor users, small cells and distributed antenna systems are two promising technologies being considered. This paper investigates and compares the performance of indoor deployed small cell base station (SBS) and indoor distributed antenna systems (DAS) in an isolated multi-storey building. Each floor of the building is equipped with either an indoor SBS or an indoor DAS where geographically distributed remote radio heads (RRHs) are connected to a central unit (CU), and frequency reuse is employed among floors. Signal propagation characteristics within multi-storey buildings and the impact of inter floor interference on performance is analysed and compared for both systems. The effect of different reuse distances, pathloss exponents, penetration loss and co-channel interference on achievable rate is analysed over a wide range of potential mobile equipment (ME) locations
Deep Neural Network For Structured Data - A Case Study Of Mortality Rate Prediction Caused By Air Quality

The mortality rate is one of the important aspects in determining insurance premiums. The mortality rates have influenced by several factors, i.e., air quality. Therefore, we consider Deep Neural Network (DNN) model for prediction of the air quality-based mortality rate. In this paper, we examine two DNN architectures. The first architecture consists of five layers including an input layer, a hidden layer, two hidden dropout layers, and an output layer. The second architecture consists of four layers including an input layer, a hidden layer, a hidden dropout layer, and an output layer. We optimize dropout rates and activation functions to obtain the optimal accuracies. Our simulations show that the first DNN architecture produces a slightly better performance. The DNN architecture uses ReLu as activation function and applies a 40% dropout rate for both dropout hidden layers. This DNN architecture also gives slightly better accuracy than the standard one hidden layer Neural Networks.
Productivity and Intraspecific Competitive Ability of a Velvetleaf (Abutilon theophrasti) Biotype Resistant to Atrazine

Studies were conducted to determine the relative competitive ability and productivity of an atrazine-resistant biotype (WRB1) and an atrazine-susceptible accession (WSA1) of velvetleaf from Wisconsin. Noncompetitive productivity studies conducted in the field and greenhouse during 1992 and 1993 showed that instantaneous relative growth rate, net assimilation rate, and leaf area ratio of the WRB1 biotype and WSA1 accession were similar. There were no consistent differences between the WRB1 biotype and WSA1 accession in plant height, shoot dry biomass, and leaf area over time. The WRB1 biotype and WSA1 accession did not differ in noncompetitive seed yield. A replacement series experiment conducted in the field in 1992 and 1993 showed that the WRB1 biotype and WSA1 accession did not differ in shoot dry biomass or seed yield at densities of 36, 64, and 100 plants m−2. Results suggest that resistance to atrazine has not reduced the noncompetitive productivity or the intraspecific competitive ability of the WRB1 biotype relative to the WSA1 accession. Thus, even in the absence of atrazine selection intensity, the frequency of atrazine resistance gene(s) is unlikely to decrease in the velvetleaf population from which the WRB1 biotype was selected.
A Proper Design of Wind Turbine Grounding Systems under Lightning

Abstract — L igh t n p ro ec sy m ( PS) f wdgeneration is becoming an important public issue. A serious damage of blades, accidents where low-voltage and control circuit breakdowns are frequently occur in many wind farms. A grounding system is one of the most important components required for appropriate LPSs in wind turbines WTs. Proper design of a wind turbine grounding system is demanding and several factors for the proper and effective implementation must taken into account. In this paper proposed procedure of proper design of grounding systems for a wind turbine was introduced. This procedure depends on measuring of ground current of simulated wind farm under lightning taking into consideration the soil ionization. The procedure also includes the Ground Potential Rise (GPR) and the voltage distributions at ground surface level and Touch potential. In particular, the contribution of mitigating techniques, such as rings, rods and the proposed design were investigated.
An Analysis of Comparing Effectiveness of Word of Mouth and Electronic Word of Mouth on The Registration of New Students at Bali State Polytechnic

This research goal is to analyze the effectiveness of traditional word of mouth (WOM) on the registration of new students at Bali State Polytechnic. The idea of word of mouth (WOM) communication has received a lot of attention both in business and academia. WOM traditionally involves personal communication between family, friends, and other people that knows each other. At present time, the rise and spread of the internet has lead the emergence of new form of word of mouth, electronic word of mouth (EWOM) which is nowadays considered as one of the most influential informal media among consumers, business, and the populations at large. While traditional word of mouth (WOM) and electronic word of mouth (EWOM) have both been shown to highly impact consumer behavior, there is deficit in recent research of how they compare to one another. Understanding which is more effective can be an input for the Bali State Polytechnic in determining a better promotion strategy to increase the number of students’ applicants in accordance with the ideal ratio standard for admission. The sampling technique is probability sampling using the proportionate stratified random sampling method to establish criteria for respondents, the new students that is registering at Bali State Polytechnic. 94 respondents collected as sample in this research. Online questionnaire via GoogleDocs is used for collecting data and the analyzed using the one-way analysis of variance (ANOVA). The results shows that there were differences in the effectiveness of WOM and EWOM methods on the registration of new students at Bali State Polytechnic. From the descriptive table, the average of WOM method is 14, 95 and EWOM is 14, 18. The results indicate that WOM is more effective than EWOM on the registration of new students at Bali State Polytechnic. Keywords—word of mouth, traditional word of mouth, electronic word of mouth, Introduction
Discrete-timedynamic average consensus ⋆

We propose a class of discrete-time dynamic average consensus algorithms that allow a group of agents to track the average of their reference inputs. The convergence results rely on the input-to-output stability properties of static average consensus algorithms and require that the union of communication graphs over a bounded period of time be strongly connected. The only requirement on the set of reference inputs is that the maximum relative deviation between the n-order differences of any two reference inputs be bounded for some integer n ≥ 1.
DAMAGE SPREADING IN THE Q2R ISING MODEL

We find evidence of mctastability in the spreading of damage in the Q2R cellular automaton approximation for a 2D lsing system which is first equilibrated with a standard Metropolis simulation. A subsequent study of both single-site and wholc-linc damage spreading in Metropolis/Q2R systems as well as in pure Q2R systems shows a logarithmic dependence of the damage-spreading threshold on time, and saturation effects in single-site damage suggest a transition in the damage-spreading threshold at low initial energy wflucs. Examination of the magnetization as a function of energy in pure Q2R shows extremely hmg relaxation times for p < p~, which may bear some relation to the extremely slow convergence of the damage-spreading threshold.
Local Wisdom as a Social Security Instrument for the Poor in North Maluku, Indonesia

The studies of cultural revitalization, local wisdom, and social security are often separated and seems unconneted. This article aims at connecting these domains through ethnographic research and document analysis of the phenomena in revitalization of local wisdom called bari to strengthen the social security of the poor in North Maluku. Revitalization activies like raising funds from public not from government budget to build hundreds of decent housing for the poor is interesting issue to study. The three main concerns of this article are socio-cultural factors that encourage the birth of this movement, the activities and achievements of these revitalization movements, and the typical characteristics of local wisdom as a result of revitalization that distinguishes it from its original form. The findings presented in this article can contribute to academic discourse in the domains of local wisdom, cultural revitalization, and social security. The more important of this finding is to construct arguments about the existence of a bridge between local wisdom, revitalization, and social security.
Entrepreneurial Orientation and Performance in South Korea: The Mediating Roles of Dynamic Capabilities and Corporate Entrepreneurship

Abstract Although a cumulative body of literature explains entrepreneurial orientation (EO) and firm performance, there remain differing views on the mechanisms underlying this relationship. The purpose of this study is to investigate the effect of EO on firm performance by considering the roles of dynamic capabilities (DC) and corporate entrepreneurship (CE). We propose that DC and CE mediate the relationship between EO and firm performance, and our empirical results support these propositions. This study fills a gap in the literature on the EO–performance relationship by considering the linkages among disposition, capabilities, and activities in the South Korean context.
The Pose Adjustment System of Robotic Arm Adopts Binocular Vision and Machine Iearning

In order to solve the problem of rapid positioning of doors, windows and frames existing in the plastering process of the intelligent plastering robot, a pose adjustment system of robotic arm based on binocular vision and machine learning was proposed. The system tested a variety of feature point detection algorithms, description algorithms and matching algorithms, and proposed a combination scheme with good detection speed, feature point number and match accuracy: SURF algorithm and FLANN matching algorithm, and added mismatching filtering and density control strategy. The innovative method of using machine learning neural network to learn the reconstructed 3D point cloud improves the system's fault tolerance ability and response speed, and can quickly convert the complexly point cloud information into the attitude adjustment information required by the robotic arm. The experimental results show that the system to a single location within 2 s time, including robotic arm action time of 0.3 s to 0.5 s, after 1 to 4 times of circulation adjustment, can achieve the displacement error of 1 mm and 1 ° rotation error. The system can meet the requirements of accuracy, time and stability in the actual working environment.
IUI or IVF: In Resource Crunch Countries.

INTRODUCTION: Infertile couples are usually advised to start their investigations after 12 months of trying to conceive or after 6 months if the female partner is more than 35 years old or immediately if there is an obvious reason to investigate. Each couple undergoes thorough physical examination and a structured battery of investigations. In females this comprises performing hormonal profile, ovarian reserve evaluation, rule out tuberculosis, confirm tubal patency and assess uterine cavity, ovulation assessment and infectious screen in both partners to rule out HIV, Hepatitis B, and Hepatitis C. Similarly, in males after semen examination and repeat abnormal examination, he is further investigated with hormonal profile, scrotal ultrasound and FNAC of testes if needed. A diagnosis based on these investigations as to the cause of infertility is reached thereafter and treatment planned. There is a tendency of these patients to change doctors once treatment does not seem to be bearing results and if they have had some previous assessment and treatment for their infertility, this data should be cautiously reviewed. Treatment options available will also depend on the duration of their infertility, which partner is affected, the age of the female partner and if any previous children conceived, the underlying pathological cause, and if the treatment will be covered by insurance or the cost involved. One of the most important achievements unarguably of the 20th century has been the birth of first baby by IVF in 1978. However, since its introduction in 1962, progress in IUI has remained static. Counselling, ovarian stimulation and monitoring of follicles and semen preparation are steps common to IUI and IVF. First line treatment is an enigma for the treating doctor. IUI involves insemination of prepared semen in the uterine cavity and fertilization in the female genital tract whereas IVF involves fertilization in culture dish and transfer of embryo in the uterine cavity. IUI is less intrusive, more patient friendly, less stressful, very safe procedure.
Dual band omnidirectional millimeter wave antenna for 5G communications

ABSTRACT A planar dual band millimeter wave printed monopole antenna and a MIMO antenna are presented for 28/38 GHz future 5G wireless communications. The shape of the radiating element of the proposed antenna is derived from a 28 GHz rectangular monopole. The radiating element isproducing a second resonance at 38 laterally slimmed in a hemispherical manner to intensify the surface current density along the hemispherical contour, producing a second resonance at 38 GHz. The measured impedance bandwidth confirms its dual band characteristics, covering 26.65–29.2 and 36.95–39.05 GHz where . The measured radiation patterns are omnidirectional, with a peak gain value of 1.27 and 1.83 dBi at 28 and 38 GHz, respectively. Moreover, diversity performance of the proposed MIMO antenna is evaluated in terms of MIMO performance metrics. such as envelope correlation coefficient, diversity gain, isolation and channel loss capacity.
Relationship between enrolment criteria and first- year students’ study-success

The paper discusses the usability of enrolment points achieved based on the results of State Matura exams and points achieved based on high school grades as predictors of study success measured by number of ECTS credits achieved one year after enrolment for students at two faculties. The results of the multivariate analysis indicate that points achieved based on high school grades are a statistically significant predictor for both faculties and points achieved based on the results of State Matura exams for one of the two faculties. Prediction quality of the multivariate model for the analyzed aspect of study success, measured by multiple R-squared, is low to medium.
Concept Learning with Energy-Based Models

Many hallmarks of human intelligence, such as generalizing from limited experience, abstract reasoning and planning, analogical reasoning, creative problem solving, and capacity for language require the ability to consolidate experience into concepts, which act as basic building blocks of understanding and reasoning. We present a framework that defines a concept by an energy function over events in the environment, as well as an attention mask over entities participating in the event. Given few demonstration events, our method uses inference-time optimization procedure to generate events involving similar concepts or identify entities involved in the concept. We evaluate our framework on learning visual, quantitative, relational, temporal concepts from demonstration events in an unsupervised manner. Our approach is able to successfully generate and identify concepts in a few-shot setting and resulting learned concepts can be reused across environments. Example videos of our results are available at sites.google. com/site/energyconceptmodels
Feed Restriction Can Alter Gait but Does not Reduce Welfare in Meat Ducks

SUMMARY Like other poultry species, Pekin ducks may develop gait abnormalities due to increased muscle growth relative to the skeletal system. Previous studies have shown that Pekin leg bones grow exponentially in terms of mineral deposition during the first 2 wk of life. Therefore, we hypothesized that a slight food restriction (FR) during that time would reduce muscle mass development sufficiently to allow the skeletal system to more fully develop. Our primary goal was to determine if FR could occur without increasing the time to market weight. To obtain this goal, ducks were provided either 65% (FR65) or 85% (FR85) of the control ducks daily feed intake. Food restricted ducks had lower (P
Hatching asynchrony, egg size, growth, and fledging in tree swallows

Marked asynchronous hatching was observed in Tree Swallows (Iridoprocne bicolor), apparently because incubation started before the full clutch was laid. Asynchronous hatching resulted in pronounced size differences of nestlings. Immediately after hatching, the first-hatched nestling was, on average, 94% heavier than the last-hatched. Clearly, a weight hierarchy was established, with small late-hatched young at a disadvantage. Egg weight increased with laying order, and last-laid eggs tended to hatch last. Thus, egg-size differences did not enhance the weight hierarchy due to hatching asynchrony. Early hatchlings had longer nestling times than late hatchlings. The former also had a higher observed asymptotic weight and longer primaries at fledging than the latter. Late-hatched young were less likely to fledge than early hatchlings. The number of young fledged increased with hatching asynchrony but so did brood size. Tree Swallows appear to use brood reduction to maximize reproductive output, but alternative hypotheses cannot be ruled out.
Description of empathetic listening of school counselors on the counseling among problematic students

This survey research aims to get information about the desctiption of empathetic listening of school counselor on the counseling process. The study population was school counselor of State Senior High School throughout East Jakarta, and the samples in the study were 106. Sampling used proportional random sampling technique. The research method used is a descriptive survey. Data collection used a questionnaire/questionnaire comprising 42 items with the reliability test results got 0.9405, which mean reliable. The results of the study showed that most empathetic listening school counselor on the counseling among problematic the moderate category. This means that school counselor can quite empathize when listening to problematic students. However. School counselor aged 41-50 years have a decrease in empathy and empathy for female higher than men, so counseling training is need.
Exchange Rate Management and Economic Growth: An FMOLS Approach

Exchange rate instability is menacing economic growth in Nigeria. Fluctuations, whether positive or negative, increases risk and discourages trade hence is not desirable for the economy. This study therefore examine exchange rate fluctuation during the different exchange rate regime, its impact on economic growth rate to determine which of the exchange rate regime significantly influence economic growth in Nigeria covering periods from 1981 to 2015. The method of data analysis employed Augmented Dickey Fuller (ADF) Unit Root Test, Co-integration test, Fully Modified Ordinary Least Square (FMOLS) estimation technique and diagnostic tests. The FMOLS result revealed that exchange rate, external reserve, money supply and capital input have significant impact on the economic growth of Nigeria; whereas labour shows no significant impact on economic growth in the long run. Also, the dummy variable indicates a negative insignificant coefficient which suggests that fixed exchange rate wouldn’t enhance the economy of Nigeria in the long run. This study concludes that sustained utilization of manage floating exchange rate regime in the country would significantly improve the domestic production leading to increase in the stock of external reserve in Nigeria. Therefore, the high frequency of change in exchange rate regime by the Central Bank of Nigeria (CBN) should be discouraged because exchange rate regime signifies a shock for currency markets. Likewise, the Federal government strives to accumulate external reserves and discourage the incessant sharing of the foreign earnings from crude oil exports between the federal, state and local governments.