Miracle-dz/UniFAR-FTUs huggingface dataset:
Advanced Polymeric Nanocomposites for Water Treatment Applications: A Holistic Perspective

Water pollution remains one of the greatest challenges in the modern era, and water treatment strategies have continually been improved to meet the increasing demand for safe water. In the last few decades, tremendous research has been carried out toward developing selective and efficient polymeric adsorbents and membranes. However, developing non-toxic, biocompatible, cost-effective, and efficient polymeric nanocomposites is still being explored. In polymer nanocomposites, nanofillers and/or nanoparticles are dispersed in polymeric matrices such as dendrimer, cellulose, resins, etc., to improve their mechanical, thermophysical, and physicochemical properties. Several techniques can be used to develop polymer nanocomposites, and the most prevalent methods include mixing, melt-mixing, in-situ polymerization, electrospinning, and selective laser sintering techniques. Emerging technologies for polymer nanocomposite development include selective laser sintering and microwave-assisted techniques, proffering solutions to aggregation challenges and other morphological defects. Available and emerging techniques aim to produce efficient, durable, and cost-effective polymer nanocomposites with uniform dispersion and minimal defects. Polymer nanocomposites are utilized as filtering membranes and adsorbents to remove chemical contaminants from aqueous media. This study covers the synthesis and usage of various polymeric nanocomposites in water treatment, as well as the major criteria that influence their performance, and highlights challenges and considerations for future research.
Evaluating factors influencing firewood consumption in households at the Thulamela Local Municipality, South Africa

A large part of the world’s population still depends on firewood for domestic energy needs. If appropriately used, firewood can be considered a renewable energy resource. However, in many rural areas it is burnt in the open and in poorly ventilated kitchens, emitting smoke which is potentially harmful to those exposed to it. Interventions such as wood gasification stoves and electricity seem to have failed. This study evaluated factors influencing firewood consumption in households at the Thulamela local municipality. A household survey collected data from the selected community and it was analysed with Statistical Package for Social Scientists. The chi-square test was used to measure the degree of association between two categorical variables. The study showed a statistically significant association between the source of energy used and gender, education of the household head, employment status, income level, and energy expenditure. The chi-square test determined the association between the variables as the significance level is less than the p-value. The results also indicated that household energy consumption is influenced by level of income, gender, educational level of household head, employment status, number of members employed in a household, and energy expenditure. These factors are linked and mutually dependent. It is recommended that the use of renewable energy and modern energy technologies, such as liquefied petroleum gas, biogas and solar, should be encouraged, with the assistance of the municipality. There is also a need to raise environmental awareness. It is through education that people’s perception, attitudes and behaviour towards firewood consumption practices can be changed.
Neutral Hydrogen Observations of NGC3628

Neutral hydrogen emission from NGC 3628, a member of the Leo Triplet, has been observed with the VLA in C and D arrays with an angular resolution of 15 arcsec and a velocity resolution of ≃20 km s −1 . Our observations reveal a limb of material stretching away on the northern side of the disc, to the west of the nucleus. We interpret this as being related to the stripped atomic hydrogen seen in earlier studies and predicted by numerical simulations. A rotation curve is derived for the galaxy, and from this we deduce the existence of a separate disc with high angular velocity in the nucleus of the galaxy. The images also show a ring at the eastern edge of the galaxy; we believe this to be an arm induced as the tidal response to the passage of NGC 3627 around the disc of NGC 3628
New perspectives on magnetotail dynamic processes from combined cluster and double star observations

In this thesis, observations of the Earth's magnetotail from ESA's four Cluster and the two Sino-European Double Star spacecraft are presented. The observations are of intervals where data from the combination of Cluster and Double Star provide insights into the dynamics of the magnetotail that are not possible using data from one mission alone. In the �first study, observations of three magnetic flux ropes are presented, two of which were detected near-simultaneously at Cluster and Double Star TC-1, while the third was detected by Cluster, along with a TCR a few minutes later. The observations represent the �first observations of multiple flux ropes existing in the magnetotail simultaneously, providing evidence that flux rope orientation is influenced by neutral sheet tilt and provide further evidence that TCRs in the lobes are caused by the passage of flux ropes in the plasma sheet. In the second study, a detailed analysis of a plasma bubble is presented, including the �first direct observations of the return flows around the flanks of the plasma bubble that are expected from theory and simulation. Furthermore a partially stagnant depleted wake behind the plasma bubble, not predicted by theory or simulation was discovered and the cross-tail extent of the bubble was measured to be 3RE. The fi�rst observations of near-Earth bubble features are also reported. Finally, in the third study, the substorm onset process itself is investigated using a wide array of space- and ground-based instrumentation. A pseudobreakup and later substorm onset are distinguished using both geomagnetic and auroral data and the establishment of the substorm current wedge is observed in-situ using the TC-2 and GOES12 spacecraft. A link between higher latitude geomagnetic activity and the fast flows and plasma sheet expansion related to the reconnection of lobe fi�eld lines is also posited.
Deep-Learning-Based Approach to Detect ICMPv6 Flooding DDoS Attacks on IPv6 Networks

Internet Protocol version six (IPv6) is more secure than its forerunner, Internet Protocol version four (IPv4). IPv6 introduces several new protocols, such as the Internet Control Message Protocol version six (ICMPv6), an essential protocol to the IPv6 networks. However, it exposes IPv6 networks to some security threats since ICMPv6 messages are not verified or authenticated, and they are mandatory messages that cannot be blocked or disabled. One of the threats currently facing IPv6 networks is the exploitation of ICMPv6 messages by malicious actors to execute distributed denial of service (DDoS) attacks. Therefore, this paper proposes a deep-learning-based approach to detect ICMPv6 flooding DDoS attacks on IPv6 networks by introducing an ensemble feature selection technique that utilizes chi-square and information gain ratio methods to select significant features for attack detection with high accuracy. In addition, a long short-term memory (LSTM) is employed to train the detection model on the selected features. The proposed approach was evaluated using a synthetic dataset for false-positive rate (FPR), detection accuracy, F-measure, recall, and precision, achieving 0.55%, 98.41%, 98.39%, 97.3%, and 99.4%, respectively. Additionally, the results reveal that the proposed approach outperforms the existing approaches.
Ontogeny and Resource Use of Invasive Lionfish, Pterois volitans, in Shallow Water Habitats Surrounding Summerland Key

iv Introduction . 1 Methods.7 Field Collection . 7 Gut Content Processing . 9 Stable Isotope Sample Preparation . 9 Statistical Analysis . 12 Results . 15 Stomach Content Analysis . 15 Lionfish Stable Isotope Analysis . 17 Reef Fish Stable Isotope Analysis . 21 Trophic Position of Lionfish and Reef Fish . 22 Community Stable Isotope Analysis . 26 Bayesian Mixing Models . 30 Discussion . 32 References . 40 Vita . 47
Group travel influencing work-life balance of millennials: the study of IT companies in Pune

Work-life balance (WLB) is a subject of primary concern for every organization. This paper attempted to delineate the influence of group travel on the WLB of millennials working in the IT companies in Pune. The study of group travel was compared to individual journeys. Four factors of group travel: escapism, refreshment, bonding, gain a new perspective; we’re used to establish a relationship between group travel and work-life balance. Data were collected from 214 millennials employed in IT companies in Pune using an online survey. Multiple regressions analysis has affirmed that group travel has a positive and significant influence on the work-life balance of the millennials. The findings of this study would contribute to crucial contributors such as the company to modify the policies regarding travel vacation for the employees and acts as marketing inputs to outside stakeholders like travel agencies, hotels, and hospitality businesses.
Secure Database as a Service for Cloud Tenants With no Exposure Of Unencrypted Data

We propose a novel engineering that incorporates cloud database administrations with data mystery and the probability of executing concurrent operations on mixed data. This is the main course of action supporting geographically circled clients to interface particularly to a mixed cloud database, and to execute synchronous and free operations including those changing the database structure. The proposed design has the further favourable position of killing middle of the road intermediaries that breaking point the flexibility, accessibility, and scalability properties that are inborn in cloud-based arrangements. The adequacy of the proposed engineering is assessed through hypothetical investigations and broad test comes about in light of a model execution subject to the TPC-C standard benchmark for various quantities of customers and system latencies.
Establishment of a Cre-loxP System Based on a Leaky LAC4 Promoter and an Unstable panARS Element in Kluyveromyces marxianus

The Cre-loxP system produces structural variations, such as deletion, duplication, inversion and translocation, at specific loci and induces chromosomal rearrangements in the genome. To achieve chromosomal rearrangements in Kluyveromyces marxianus, the positions and sequences of centromeres were identified in this species for the first time. Next, a Cre-loxP system was established in K. marxianus. In this system, the Cre recombinase was expressed from a leaky LAC4 promoter in a plasmid to alleviate the cytotoxicity of Cre, and the unstable plasmid contained a panARS element to facilitate the clearance of the plasmid from the cells. By using LAC4 as a reporter gene, the recombination frequencies between loxP sites or loxPsym sites were 99% and 73%, respectively. A K. marxianus strain containing 16 loxPsym sites in the genome was constructed. The recombination frequency of large-scale chromosomal rearrangements between 16 loxPsym sites was up to 38.9%. Our study provides valuable information and tools for studying chromosomal structures and functions in K. marxianus.
Projected Increases in Global Terrestrial Net Primary Productivity Loss Caused by Drought Under Climate Change

Understanding present and future impacts of drought on the terrestrial carbon budget is of great significance to the evaluation of terrestrial ecosystem disturbance and terrestrial carbon sink. Here, we evaluate the effect of vegetation net primary productivity (NPP) associated with drought through the difference between the mean NPP in the drought and normal years during a specific time period (30 years). Then, the NPP effects in different vegetation types and climatic zones under baseline stage (1981–2010) and future climate scenarios (RCP2.6, RCP4.5, and RCP8.5) is assessed. The results indicate that the negative NPP extremes are captured in most regions, except for the high‐latitude in the Northern Hemisphere. The NPP loss caused by extreme droughts in 2071–2100 is largest under RCPs, followed by the effects of severe and moderate droughts. Regionally, central United States, southern Africa, central Asia, India, Amazon tropical rainforest, and Australia are projected to experience a significant increase in negative NPP extremes and most of these regions are in arid and semi‐arid and tropical rain forest areas. In contrast, tropical Asia suffers little drought effects. For different vegetation, Evergreen Broadleaf Forest, Closed Shrubland, Open Shrubland, Croplands, and Grassland are the most affected by drought. The largest NPP loss occurs in most part of regions under RCP4.5 scenario, not RCP8.5. Climate change is projected to play the largest role in aggravating the risk of drought‐induced NPP reduction. And meanwhile, the adverse effects of drought on vegetation may be resisted through rational fertilizer utilization and land management in future.
Database Connection Pool in Microservice Architecture

—The increase and growing number of users in the internet gives a higher requirement to backend application systems nowadays to be designed to handle thousands of users traffic concurrently. Microservice architecture is also in a rising trend which they allow for each service to scale horizontally by their throughput and load helps to scale the system efficiently without waste of resources like in the traditional monolithic application system. Database connection pool helps for backend systems to access databases efficiently. The present issue is determining the optimal number of database connections to use in a microservice based backend system. This paper aims to find the most suitable amount of database connections in a microservice setting, where multiple instances of the service are used for scalability and high availability purposes of the system. The experiment was conducted by varying the number of database connections from one to five to ten in both single instance and three instance services, where the service being examined is the backend system's roles and permissions service. The results of this experiment indicate that five database connections provide the best performance latency result in a microservice architecture with three service instances. With 2000 requests per second, the maximum latency was 53ms, while the 99th percentile latency was 19ms. The study contributes by determining the optimal size of a database connection pool for use in a microservice architecture with several instances of the service are operating concurrently.
Usability and Effects of a Combined Physical and Cognitive Intervention Based on Active Video Games for Preschool Children

Executive functions (EFs) are essential for early childhood development, and effective programs to improve EFs in preschool education are becoming increasingly crucial. There is rising evidence that combined physical–cognitive intervention training utilizing active video games (exergames) could be a viable strategy to improve EFs. However, there is a shortage of empirical evidence on the application of this approach in preschool education. The effectiveness of exergame intervention training in preschools must be evaluated. This study conducted a randomized controlled trial to assess the effects of exergames intervention training on preschool children’s EFs. A total of 48 participants aged 4–5 years were enrolled; 24 were randomly allocated to receive exergames physical activity training, and the remaining 24 received conventional physical activity training. After a four-week intervention, the children who received the exergames intervention training exhibited considerably greater gains in all three EFs tasks than children who received the conventional physical activity program. Follow-up interviews revealed that the children accepted the exergames well. The results demonstrate the viability of incorporating exergames into preschool education to improve children’s EFs, supporting prior findings and offering more empirical evidence from early childhood research.
Innovative Solutions Based on the EM-Algorithm for Covariance Structure Detection and Classification in Polarimetric SAR Images

This article addresses the challenge of identifying the polarimetric covariance matrix (PCM) structures associated with a polarimetric synthetic aperture radar (SAR) image. Interestingly, such information can be used, for instance, to improve the scene interpretation or to enhance the performance of (possibly PCM-based) segmentation algorithms as well as other kinds of methods. To this end, a general framework to solve a multiple hypothesis test is introduced with the aim to detect and classify contextual spatial variations in polarimetric SAR images. Specifically, under the null hypothesis, only one unknown structure is assumed for data belonging to a two-dimensional spatial sliding window, whereas under each alternative hypothesis, data are partitioned into subsets sharing different PCM structures. The problem of partition estimation is solved by resorting to hidden random variables representative of covariance structure classes and the expectation–maximization algorithm. The effectiveness of the proposed detection strategies is demonstrated on both simulated and real polarimetric SAR data also in comparison with existing classification algorithms.
The MSSM without mu term

We propose a supersymmetric extension of the standard model which does not have a ``mu'' supersymmetric Higgs mass parameter. The matter content of the MSSM is extended with three additional chiral superfields: one singlet, an SU(2) triplet and a color octet, and an approximate U(1)_R symmetry naturally guarantees that tan(beta) is large, explaining the top/bottom quark mass hierarchy. Unlike in the MSSM, there are significant upper bounds on the masses of superpartners, including an upper bound of 114 GeV on the mass of the lightest chargino. However the MSSM bound on the lightest Higgs mass does not apply.
Limitations perceptives et représentationnelles des computations symboliques mentales

Participants had to generalize repetition-based structures or ordinal structures without repetitions. General symbolic mechanisms should generalize both structures equally well; associationist mechanisms should process the ordinal structures better. Participants readily generalized repetition-based but not ordinal structures, structure changes elicting rapid ERPs only for repetition-based structures. When they found that participants could generalize repetition-based structures only when the repetitions were in sallient positions (in sequence edges but not middles). We then studied the limitations of more language-related computations. Participants learned phonotactic contraints in word-edges but not middles. In the next experiments, participants extracted category-based generalizations from speech streams, but only when the critical syllables were in word edges but not middles. In conclusion, the mind may use a computational toolbox of specialized and constrained perceptual primitives.
Sentiment Analysis of Delivery Service Opinions on Twitter Documents using K-Nearest Neighbor

The global pandemic of Covid-19 in 2020 encourage a significant increase of online trading such as selling and buying around the world, especially in Indonesia. The dependency on goods delivery services to fulfill transaction process among sellers and buyers are essential as the government policy enforce a limitation of errands outside home. Since 2000, top brand awards have often conducted official surveys in terms of awarding and displaying comparisons of goods or services based on public opinion from several regions. One of the services that became the top brand survey is delivery service. However, it was found that the survey rankings were not quite accurate because the public and companies were still unable to find out in detail the success factors and drawbacks of their brands based on the ratings submitted. This research was conducted to analyze opinion sentiment of delivery service (JNE, J&T, TIKI, Pos Indonesia, and DHL Indonesia) and determine the aspect of timeliness and quality. The data is retrieved from Twitter “tweets” of delivery service official account of @JNE_ID, @shippexpressid, @PosIndonesia, and @IdTiki, and search keyword of “DHL Indonesia”. K-Nearest Neighbor with parameter K=3 is adopted as the main algorithm following some text processing method, feature extraction and feature selection. The result shows DHL Indonesia is in the first position at 55.6% of Twitter users who gave positive feedback for service aspect by timeliness and at 15% for service aspect by quality. This research system has accuracy at 94.56%, precision at 62.31%, recall at 45.26%, and F-measure at 62.32%. It can be concluded that the parameters used are quite optimal.
Synchronization of Dynamical Networks With Heterogeneous Delays via Time-Varying Pinning

This work investigates the synchronization problem of a dynamical network composed of nonlinear nodes with directed couplings and suffering from heterogeneous delays. Specifically, a time-varying pinning control is adopted to achieve synchronization. The system’s dynamics are interpreted under a multiplex network framework, from which an indicator is designed to measure the synchronizability of the pinned network. Criteria are then derived to ensure exponential synchronization while the largest admissible coupling delay is also estimated. These criteria are based on the time average of the proposed indicator over some user-defined time intervals. Therefore, it possesses high versatility to support a wide range of scenarios with different intermittent control strategies. An interesting observation is that the proposed indicator is always upper bounded, manifesting that if the couplings between the nodes are too weak, pinning synchronization may fail no matter how large the pinning gain is. To further demonstrate the applicability of the theorem and the corollaries, numerical examples under different pinning configurations are presented.