Miracle-dz/UniFAR-FTUs huggingface dataset:
Enrichment of Remote Homology Detection using Cascading Maximum Entropy Markov Model

Introduction: In computational biology, the remote homology detection of the protein sequence is one of the ultimate problems that aims to discover the protein sequences from the database of known protein structures that are evolutionarily associated with a known query protein. Protein homology detection plays a major role in predicting the structures and functions of the protein. Sequence and structure-based comparison allow to detection of the remote homologous. Aim: Several existing computational techniques have been developed to predict remote homology detection in protein sequences. Due to low similarities in protein sequence, the performance of the existing systems is still low. To overcome the drawbacks of the existing systems, this research work proposed a Cascading Maximum Entropy Markov Model (C-MEMM) for remote homology detection. Methodology: The C-MEMM algorithm improved freedom in selecting features to signify the annotations for sequence tagging methods rather than Hidden Markov Model (HMMs). In sequence tagging circumstances, it is valuable to practice domain knowledge to project special-purpose features. The proposed C-MEMM algorithm allows the user to specify lots of correlated, but informative features. Results: Three different organisms such as Xenopus laevis, Bacillus stearothermophilus and Escherichia coli were used for testing the execution of the C-MEMM algorithm with the existing methods. The effectiveness of the proposed C-MEMM algo-rithm is tested with Coverage and Precision values. Experimental results show that the proposed method effectively improved prediction performance. Conclusion: From the experimental results, it is inferred that the proposed C-MEMM algorithm gives better results than the existing algorithms based on the performance metrics such as coverage rate and precision values for all the organisms.
The Distribution of Total Petroleum Hydrocarbons Categories in Kolo Creek, Niger Delta, Nigeria

The degree of contamination by total petroleum hydrocarbons was investigated in Kolo Creek for four months in three different stations. The level of contamination by the hydrocarbon categories: gasoline range organics (GRO), diesel range organics (DRO) and lube oil range in the surface water and sediments of the creek were investigated along the coast. Glass bottles thoroughly washed with dichloromethane were used to collect both samples and treated using standard procedures. Extraction of the hydrocarbons from the samples were achieved through the use of standard methods and the analysis of the samples were performed by the use of GC-FID to determine the concentration of the total petroleum hydrocarbon categories in the samples. The results of the investigations revealed that, GRO was within not detected to 1.148±0.031mg/L, DRO, 7.627±0.7836 to 15.375±3.2643mg/L and lube oil range, 1.267±0.1244 to 3.973 ±0.516mg/L in the stations and GRO, not detected to 1.531±0.16mg/L, DRO, 6.783 ±1.486 to 21.213±5.762mg/L and lube oil range, 0.207 ±0.0115 to 3.948±0.9mg/L in the months. In the sediments of the creek, concentration values of the categories were GRO, 1.8961±0.196 to 5.4995±2.036mg/Kg, DRO, 30.2902±8.5931 to 39.8561±11.0281mg/Kg and lube oil range, 0.5564±0.046 to 6.2071±1.43mg/Kg in the stations and in the months, GRO,0.2377±0.01 to 8.2759±3.01mg/Kg, DRO, 23.1699±5.5295 to 51.2889±18.0216mg/Kg and lube oil range, not detected to 9.7926±3.252mg/Kg. The mean concentration values in percentages for the different stations were, GRO, 4.50, DRO, 78.10 and lube oil range, 1.40, in the months, GRO, 6.55, DRO, 77.85, lube oil range, 15.60 for the surface water. In the sediments, GRO, 7.72, DRO, 83.86 and lube oil range, 8.42 in the stations, while in the months, GRO, 6.50, DRO, 79.85 and lube oil range, 13.65. the level of contamination of the creek call for immediate remediation work in order to forestall impending danger due to petroleum hydrocarbon pollution.
Collaborative Crowdsourcing Between Experts and Crowds for Chronological Ordering of Narrative Events

Aligning narrative events in temporal order, a kind of narratological analysis, requires extensive expert labor and is difficult for computers. Those limitations impede narratology research at scale. It is also hard to be accomplished with crowdsourcing because reordering narrative events requires expertise and an understanding of the entire text. We propose a technique that enables crowd workers to do the complex task of narrative event ordering by embedding experts in the workflow who can effectively understand the text and direct crowd workers. In our crowdsourcing workflow, narratology researchers interpret a summary of a story, build instructional scaffolding, and assist a crowd on the reordering task with the scaffolded timeline. Results of a preliminary study show that the scaffolded timeline provided global contexts to crowd workers and enabled them to do the task that requires the overall context. We will improve the transfer of the expert ’ s knowledge with iterations between experts and non-experts and revisions in the scaffolding.
Exploring emotion regulation and altruism when experiencing compassion fatigue from humanitarian crises, including COVID-19

Despite knowledge of devastating statistics, it has been observed that when hundreds, or even millions are suffering in large-scale crises, including genocides, refugee crises, and more recently, the COVID-19 pandemic, humans seem unable to process and comprehend the magnitude of that suffering on an emotional level. While the expectation is that compassion should increase proportionally with the number of people suffering in catastrophes, prior research has shown a negative relationship such that as need increases, donations decrease. Some factors that may impact this include the identifiable victim effect, use of emotion regulation strategies, specific cognitive processing styles, and compassion fatigue. This research sought to explore the impact of these factors on decision-making, judgment, and altruism, especially in the face of an ongoing, chronic, and collective trauma (COVID-19). A sample of 993 participants, primarily Caucasian, English-speaking individuals with a median age of 39-years-old, and with varying education levels, were presented with questions about demographics, COVID-19, use of emotion regulation strategies, and cognitive processing styles. Participants were randomized thrice into conditions for compassion fatigue, emotion regulation strategies, and COVID-19. They were, lastly, asked questions about compassion fatigue and desired donation amount towards a charity. The findings of this study showed that our participants experienced significantly higher levels of compassion fatigue and elected to donate higher amounts- contrary to previous research - which may be a result of this population being amidst an ongoing global catastrophe and trauma. In addition, we found that individuals who had contracted COVID-19 were more likely to donate to others due to the identifiable victim effect. We also found individual differences in how emotion regulation use moderated the connection between compassion fatigue and donation amount. Overall, our findings show the impact of COVID-19 and compassion fatigue on altruism;they also highlight the utility of emotion regulation strategies, whether reappraising thoughts or suppressing emotions, especially during a persisting trauma such as COVID-19. Exploring the impact of compassion fatigue on decision-making, judgment, and altruism is imperative, especially given how these factors affect humans on both a micro and macro scale in terms of global policy, immigration, economic reform, and healthcare. (PsycInfo Database Record (c) 2022 APA, all rights reserved)
Enabling DNN Acceleration With Data and Model Parallelization Over Ubiquitous End Devices

Deep neural network (DNN) shows great promise in providing more intelligence to ubiquitous end devices. However, the existing partition-offloading schemes adopt data-parallel or model-parallel collaboration between devices and the cloud, which does not make full use of the resources of end devices for deep-level parallel execution. This article proposes eDDNN (i.e., enabling Distributed DNN), a collaborative inference scheme over heterogeneous end devices using cross-platform Web technology, moving the computation close to ubiquitous end devices, improving resource utilization, and reducing the computing pressure of data centers. eDDNN implements D2D communication and collaborative inference among heterogeneous end devices with WebRTC protocol, divides the data and corresponding DNN model into pieces simultaneously, and then executes inference almost independently by establishing a layer dependency table. Besides, eDDNN provides a dynamic allocation algorithm based on deep reinforcement learning to minimize latency. We conduct experiments on various data sets and DNNs and further employ eDDNN into a mobile Web AR application to illustrate the effectiveness. The results show that eDDNN can achieve the latency decrease by <inline-formula> <tex-math notation="LaTeX">$2.98\times $ </tex-math></inline-formula>, reduce mobile energy by <inline-formula> <tex-math notation="LaTeX">$1.8\times $ </tex-math></inline-formula>, and relieve the computing pressure of the edge server by <inline-formula> <tex-math notation="LaTeX">$2.57\times $ </tex-math></inline-formula>, against a typical partition-offloading approach.
Self-Efficacy and Teaching Skills Perceptions of Primary School Teachers: A Predictive Study

The purpose of this research is to examine the correlation and predictive power between the 21st century teaching skills of primary school teachers and their 21st century skills efficacy perception levels. The cross-sectional survey design has been carried out in the research. As data collection tools, 21st Century Skills Efficacy Perception Scale and Utilization of 21st Century Teacher Skills Scale have been administered. The sample consists of 459 primary school teachers working in state and private primary schools in Izmir province and its central districts. Linear regression analysis and path analysis have been carried out in testing of the research hypothesis. The model established between 21st century skills efficacy perceptions and utilization of 21st century teacher skills has been concluded to be valid and significant. Additionally, it has been determined that the model has generally acceptable goodness of fit values. Results of the research indicate that utilization of 21st century teacher skills increase as does 21st century teacher skills efficacy perceptions. Accordingly, it is deemed to be beneficial that professional development programs for improving 21st century teacher skills are developed and implemented extensively in order to support utilization of such skills. Furthermore, it is considered that incentive practices for utilization of 21st century skills adopted by decision-makers can help primary education to meet requirements of the modern age.
Psychometric properties of the Narcissistic Admiration and Rivalry Questionnaire (NARQ) in college students from Venezuela Propiedades psicométricas del Cuestionario de Admiración y Rivalidad Narcisista

The research had as primary objective to analyze the psychometric properties and the adequacy of the Narcissistic Admiration and Rivalry Questionnaire (NARQ) in a nonprobability sample of college students (N = 159; 74 % women) from a private university in Caracas (Venezuela). Through a snowball procedure, the data were collected via application of an online questionnaire. Using an exploratory factor analysis, the proposed factorial solution was obtained; also, significant correlations were found between admiration and rivalry with self-esteem, extraversion, openness and agreeableness, just as stated in the literature. The NARQ presents evidence of validity and reliability, and therefore its use could be recommended in the Venezuelan population.
ASSESSMENT OF THE LEVEL OF ECONOMIC SECURITY OF INNOVATIVELY ACTIVE ENTERPRISES AS THE BASIS OF THE MANAGEMENT PROCESS WITHIN THE FINANCIAL AND LEGAL FIELD

Abstract. Today, in the current conditions of enterprise management, it is relevant to build and implement an effective economic security management system in the enterprise’s activities. Accordingly, as a control element, it is necessary to highlight the value of assessing the level of economic security in order to make the company’s specialists successful management decisions. Under the influence of momentary changes in management, it is problematic to select the theoretical and methodological foundations that will be used in such an element of enterprise management, including economic security, as an assessment. Some parameters that are obtained when assessing the level of economic security of an enterprise do not take into account all important aspects of activities. The main goal is to assess the level of economic security of innovatively active enterprises as the basis of the management process within the financial and legal field. The expediency of applying the Solow model to determine the level of economic security of innovatively active enterprises, based on the use of such quantitative indicators as the available labor resources, production assets, the volume of investment in innovation, the volume of non-productive consumption and the final product, is proposed and substantiated. The use of this technique allows us to conclude about the importance of resource provision and the dominant influence of the provision of labor resources to innovatively active enterprises. The research methodology assumes that at the present stage, the assessment of the level of economic security of enterprises is carried out using various methods and techniques. Agreeing with the permanent approaches proposed by economists, we propose to adapt to the system of methods for assessing the economic security of enterprises a method based on the use of the Solow model, the essence of which is that the economic security of an enterprise is considered as a whole economic phenomenon. Keywords: economic security, innovatively active enterprises, management process, financial and legal field JEL Classification B49, C10, C13, M20 Formulas: 5; fig.: 0; tabl. : 1; bibl. : 15.
Perceived values of the hotel website quality and behavioral loyalty among baby boomers

This research focuses on three dimensions of the hotel website's perceived values towards behavioral loyalty among baby boomers due to a common perception that they are eager to embrace new technologies. The baby boomers are considered one of the industry's most competitive business segments. This research aims to empirically examine the impact of the hotel website content on the behavioral loyalty of customers among baby boomers. The study adopted a quantitative approach and the samples comprised hotel online user among baby boomers in Selangor one of the states in Malaysia. Using the snowbal strategy, 388 data from the respondents from the baby boomer’s generation in Malaysia were collected. The study found a positive relationship between perceived values of the hotel website and behavioral loyalty among baby boomers. This research provides new information to the hotel industry on improving the level of customer’s behavioral loyalty, especially among the baby boomer’s generation. Hopefully, the finding in this study will help the service organization modify their strategy to increase the number of hotel website users.
A Review of Recent Advancements of Firefly Algorithm; A Modern Nature Inspired Algorithm

— Nature inspired algorithms are modern AI related algorithms which embrace natural optimization techniques to build optimization algorithms. This new field has attracted many researches and one can now see a rapid development of the algorithms as well as frequent application of the algorithms on complicated problems. Firefly Algorithm is one such algorithm that mimics the flashing behaviour of fireflies. The algorithm which was initially proposed for continuous domain optimization problems has been adopted for many types of real world continuous optimization problems. Further, many research has been done on adjusting the algorithm for various discrete optimization problems. This paper aims to provide a review of the recent advancements in the firefly algorithm and the type of problems addressed by the research on continuous and discrete domains. Applications of firefly algorithm were selected from both domains and several important factors like the problem of interest; comparisons with other algorithms and new modifications to the original algorithm were taken into account when doing the study. The most important factor is how the researchers have used exploration and exploitation properties in Firefly algorithm for the problems they have solved. A brief analysis has also been carried out to compare the implementation of the same problem by different nature inspired algorithms, including the firefly algorithm. The results of the review reveal that in many applications, firefly algorithm’s performance is remarkable compared to other nature inspired algorithms like Genetic algorithms. Firefly algorithm’s behaviour is similar to genetic algorithms but the algorithms like Bat, cuckoo search are more likely to behave as particle swarm optimization, where always the globally best solution is concerned. The study concludes that firefly algorithm’s performance over many applications is admirable and is worth modifying to solve many real world complex optimization problems.
ANALYSIS OF THE TRAFFIC PARAMETERS ON A SECTION IN THE CITY OF THE NATIONAL ROAD DURING SEVERAL YEARS OF OPERATION

Resume The study carried out an analysis of the vehicle traffic parameters on a national road in 2011-2016. The variability and uncertainty of results were evaluated. An analysis of traffic data recorded on the city's entry and exit lanes was carried out. The variations in traffic volume are of interest e.g. in dynamic traffic management systems and navigation services, examining the benefits of flexible work time and places and assessing the environmental effects of traffic congestion. Research has shown that the assumption that lanes perform equally is not always true. Traffic volume models should be periodically calibrated taking into account the shape of the daily profile, which may, for example, allow public transport timetables to be more responsive to the needs of travelers. Article info Received 17 September 2020 Accepted 5 May 2021 Online 6 October 2021
Challenges in the Reuse and Upgrade of Pier Luigi Nervi‘s Structures

The paper presents the overall objectives of a funded research program for the development of a Conservation Plan (CP) for the two halls by Pier Luigi Nervi of the Turin Exhibition Center. The Turin Exhibition Center was conceived immediately after the Second World War to host primarily the annual Automobile Show, in connection with the presence in Turin of the FIAT motor company. The two main pavilions of the Center (Halls B and C) are outstanding examples of a pioneering use, of new advanced methods in reinforced concrete construction, combining innovative prefabrication procedures and the re-invention by Nervi of ferrocement, used to form extremely thin elements. The CP is expected to push and contribute to the preservation of the halls designed and built by Nervi, with special emphasis on structural and seismic vulnerability aspects, also due to concerns raised on the durability of concrete materials and technologies. Re-using these buildings entails the challenge to guarantee new extended service life to concrete structures built many decades ago and faces the need for a seismic assessment of these structures, in compliance to recent Italian standards.
Serologic and Molecular Detection of Mycoplasma gallisepticum in Layer Flocks in South Marmara Region of Turkey

Background: Due to the economic impacts of Mycoplasma gallisepticum (MG) infection in poultry, it is essential to have a fast, reliable and accurate diagnostic test to diagnose the infection. Aims: It was aimed to examine the presence of MG in the South Marmara Region of Turkey where extensive commercial layer flocks exist by RPA, ELISA and real-time PCR. Materials and Methods: In the study, 981 sera and 160 tracheal swab samples (20 swabs per each flock) obtained from eight layer flocks were examined for the presence of MG-antibody by RPA, ELISA, and the presence of MG by real-time PCR, respectively. Results: MG-seropositive flock rate was determined to be 100% by RPA. Twenty-three of the RPA positive sera in each flock LA, LB, LC, LD, LF, LG, and 17 RPA positive sera in flock LE (due to 17 positive RPA sera obtained) were examined for the presence of MG antibody by ELISA, and MG-seropositive flock rate was determined to be 87.5%. As a result of the examination of a total of 32 tracheal swab samples (20 swabs perflock/5 swabs=4 pooled samples, 8 flocksX4 pooled samples= 32 samples) for the presence of MG, real-time PCR positive flock rate was found to be 75%. Conclusion: To decide the flock whether it is infected or not and the initiate effective preventive measures against MG infection as soon as possible; serology should be applied simultaneously with bacteriology and/or PCR to prevent time loss due to shortcomings of serological tests used as primary screening test such as cross reactions, sensitivity and specificity problems.
Resonance Transmission of Dual Plates with Narrow Small Slots due to Two Parallel Wires for Frequencies around 2 GHz

This paper presents the transmission cross-section (TCS) of a dual plate with narrow small slots when a plane wave is incident from the left half-space. Numerical results show that the TCS depends mainly on the plate spacing for a specified frequency. The TCS fluctuates with the plate spacing; the fluctuation period is approximately 0. 5λ. When the plate spacing is larger than 0. 5λ, the TCS reduces to 90% in the single plate case, and TCS enhancement is extremely difficult. However, when the plate spacing is less than 0. 5λ, the TCS decreases gradually to approximately 36% in the single plate case, and TCS enhancement can be realized using two parallel wires. The analysis results show that resonance transmission is effectively obtained by the wires connected on the slots for a plate spacing within 0. 5λ. Experimental measurements are presented to validate the theory.