Miracle-dz/UniFAR-FTUs huggingface dataset:
APRICOIN: An Adaptive Approach for Prioritizing High-Risk Containers Inspections

Risk evaluation of the containers remains a difficult task, often due to incomplete or ambiguous information on containers. In addition, the evaluation process needs to be adapted on an ongoing basis to cope with emerging risk factors. Furthermore, high-risk container inspection is commonly hindered by a low inspection capacity, which leads to a major issue: how can we prioritize the container inspection if the number of suspect containers exceeds the inspection capacity? Container inspection prioritizing may be the answer. In this paper, we propose a novel approach for adaptively prioritizing container inspection (APRICOIN). First, we enhance the container information flow to alleviate the problem of incomplete information by proposing an enhanced container descriptive. Second, we introduce the APRICOIN algorithm, which combines frequent pattern mining and a fuzzy logic system, to assess the container’s risk score. The frequent pattern growth algorithm is proposed to retrieve the key criteria for evaluating container risk. This is done through mining frequent criteria sets within the historic data set of container inspections by customs. The mined frequent criteria sets are used to assess fuzzy inference rules which are periodically readjusted to integrate new key criteria. Thereafter, the fuzzy logic system uses the obtained fuzzy inference rules to calculate a container’s risk score. Our major contribution consists of providing a new adaptive approach for assessing a container’s risk through combining frequent criteria mining and fuzzy logic. An illustrative study and a comparison with alternative approaches are performed to validate the proposed algorithm.
Implementation of Temperature and Moisture Controller in Poultry Using IoT

In modern poultry farming, the integration of IoT technology addresses the critical factor of temperature and moisture control for optimal bird growth and health. Sensors strategically placed in poultry houses collect data, which is transmitted to IoT devices and processed in the cloud. Cloud-based analytics provide real-time insights, enabling farmers to identify and address potential issues promptly. This approach minimizes manual monitoring, improving efficiency. Moreover, an innovative application involves an ESP8266 microcontroller connected to a DHT11 sensor, activating a relay and DC555 motor to spray water via a sprinkler system when temperatures surpass a set threshold. This automated temperature control not only enhances environmental conditions but also contributes to improved bird health, increased profitability, and sustainable poultry farming practices.
The mechanism of flecainide action in CPVT does not involve a direct effect on RyR2.

RATIONALE Flecainide, a class 1c antiarrhythmic, has emerged as an effective therapy in preventing arrhythmias in patients with catecholaminergic polymorphic ventricular tachycardia (CPVT) refractory to β-adrenergic receptor blockade. It has been proposed that the clinical efficacy of flecainide in CPVT is because of the combined actions of direct blockade of ryanodine receptors (RyR2) and Na(+) channel inhibition. However, there is presently no direct evidence to support the notion that flecainide blocks RyR2 Ca(2+) flux in the physiologically relevant (luminal-to-cytoplasmic) direction. The mechanism of flecainide action remains controversial. OBJECTIVE To examine, in detail, the effect of flecainide on the human RyR2 channel and to establish whether the direct blockade of physiologically relevant RyR2 ion flow by the drug contributes to its therapeutic efficacy in the clinical management of CPVT. METHODS AND RESULTS Using single-channel analysis, we show that, even at supraphysiological concentrations, flecainide did not inhibit the physiologically relevant, luminal-to-cytosolic flux of cations through the channel. Moreover, flecainide did not alter RyR2 channel gating and had negligible effect on the mechanisms responsible for the sarcoplasmic reticulum charge-compensating counter current. Using permeabilized cardiac myocytes to eliminate any contribution of plasmalemmal Na(+) channels to the observed actions of the drug at the cellular level, flecainide did not inhibit RyR2-dependent sarcoplasmic reticulum Ca(2+) release. CONCLUSIONS The principal action of flecainide in CPVT is not via a direct interaction with RyR2. Our data support a model of flecainide action in which Na(+)-dependent modulation of intracellular Ca(2+) handling attenuates RyR2 dysfunction in CPVT.
Link prediction using supervised learning

Social network analysis has attracted much attention in recent years. Link prediction is a key research directions within this area. In this research, we study link prediction as a supervised learning task. Along the way, we identify a set of features that are key to the superior performance under the supervised learning setup. The identified features are very easy to compute, and at the same time surprisingly effective in solving the link prediction problem. We also explain the effectiveness of the features from their class density distribution. Then we compare different classes of supervised learning algorithms in terms of their prediction performance using various performance metrics, such as accuracy, precision-recall, F-values, squared error etc. with a 5-fold cross validation. Our results on two practical social network datasets shows that most of the well-known classification algorithms (decision tree, k-nn,multilayer perceptron, SVM, rbf network) can predict link with surpassing performances, but SVM defeats all of them with narrow margin in all different performance measures. Again, ranking of features with popular feature ranking algorithms shows that a small subset of features always plays a significant role in the link prediction job.
Hands‐On Reciprocal Teaching: A Comprehension Technique

Reciprocal teaching is a researched-based technique that utilizes the comprehension strategies of predicting, clarifying, questioning, and summarizing. This article provides methods of incorporating characters, props, and visual and hands-on tools to encourage and motivate students to learn through reciprocal teaching. Teachers are given activities to use while implementing reciprocal teaching that require very little prep time, but are highly appealing to a range of learners. Responsibilities of both the teacher and the students are addressed, as well as the importance of discussion and assessment.
Freirean Participatory Approach: Developing Interactive Listening Skills in the English as a Second Language (ESL) Classroom

Drawing on Paulo Freire’s participatory approach, this paper aims to analyze learning and teaching strategies that foster student motivation and English as a Second Language (ESL) listening to enhance ESL learning. This approach allows students to critically think about their educational goals and identify their strengths and weaknesses in the production of knowledge. Empirical studies from 1992 to 2013 were collected and analyzed guided by content analysis approach. This paper demonstrates that cooperative learning promotes a non-threatening environment conducive for learning. Findings confirm that lecturer talk and lecturers’ questions elicit students’ use of ESL through speech production. The findings suggest that the use of student questions to promote communication from diverse perspectives is a significant motivational tool. Finally, after demonstrating the implications of learning and teaching strategies, this paper offers a set of recommendations to help lecturers and researchers in promoting student motivation and developing ESL listening. DOI: 10.5901/mjss.2014. v5n11p101
Structure and development of causal-experimental thought: from early adolescence to youth

This study investigated the structure and development of causal-experimental thought. Ss (N = 260) from 12 to 16 years of age were examined by 3 test batteries. The batteries involved items addressing combinatorial, hypothesis handling, experimentation, and model construction abilities. Confirmatory factor analysis indicated that these abilities, although distinct from each other, do share a common functional core, and they are organized in a higher order causal-experimental specialized structural system. Rasch scaling indicated that these 4 kinds of abilities follow overlapping developmental trajectories. Saltus modeling suggested that development is continuous rather than discontinuous. Individual differences were found in the rate of acquisition but not in the structure of abilities
Efficient Personalized Search using Ranking SVM

The main problem that the web search currently faces is that search queries are short and ambiguous and thus are unable to meet user needs. To avoid such problems, some search engines suggest terms that are meaningfully related to the submitted queries so that users can choose from the suggestions the ones that reflect their information needs. In this paper, we introduce an effective approach that captures the user’s conceptual preferences in order to provide personalized query suggestions. We achieve this goal with two new strategies. First, we develop online techniques that extract concepts from the web-snippets of the search result returned from a query and use the concepts to identify related queries for that query. Second, we propose a new two phase personalized agglomerative clustering algorithm that is able to generate personalized query clusters. Experimental results show that our approach has better precision and recall than the existing query clustering methods. Keywords—Click-through , ranking , personalization , conceptbased clustering , query clustering
Consuming With Others: Social Influences on Moment-To-Moment and Retrospective Evaluations of an Experience

Two studies examine differences in participants' moment-to-moment and retrospective evaluations of an experience depending on whether they are alone or in the presence of another person. Findings support our hypotheses that joint consumption leads to similar patterns or “coherence” in moment-to-moment evaluations and that greater coherence leads to more positive retrospective evaluations. We trace the emergence of coherence to processes of mimicry and emotional contagion in experiment 1 by comparing evaluations for pairs of participants who could see each other's expression with pairs who could not do so and in experiment 2 by coding participants' facial expressions and head movements for direct evidence of contagion.
STUDY AND DEPLOYMENT OF SENSOR NETWORKS AND THE INTERNET OF THINGS IN THE GDL SMART CITY

The objective of this work is to propose the design and deployment of sensor networks and the Internet of Things (IoT) in the Guadalajara Smart City. Initially, all project development was conducted at the Living Lab in the Smart Cities Innovation Center at the CUCEA University of Guadalajara (UDG). Once the first sensor networks are functional, the goal is to transfer the experience to the first Intelligent Building Complex, which will be created by the Guadalajara (GDL) downtown Ciudad Creativa Digital (CCD) project. Many modules with sensors will record information, creating open data sets, including: zone temperature, atmospheric pressure, luminosity, pollution components (such as carbon dioxide and nitrogen oxide), green area humidity and water consumption. Thus, the main contribution of this work is the development of sensor networks for the GDL smart city, as well as supporting the production of datasets to empower the data analytics and visualization of the IEEE Smart Cities working group in the GDL.
Exploring Low Voltage and Low Power Techniques for High Performance ASIC Design

Exploring Low Voltage and coffee strength strategies for high-performance ASIC layout is a study mission that focuses on building and developing new and modern strategies that allow for the optimization of semiconductor design systems. Low Voltage and low strength (LVLP) techniques are increasingly utilized to reap the ultimate intention of ASIC designs: maximum overall performance with minimum power requirements. If you want to attain this, numerous interrelated parameters have to be considered. These parameters are chip length, circuit efficiency, device power dissipation, area/overall performance alternate-offs, and clock velocity. This research assignment explores various LVLP design techniques that may be used to optimize ASIC designs and bring about progressed overall performance. Those techniques consist of dynamic voltage scaling, clock gating, lively electricity control, and adaptive body biasing. These strategies can be evaluated in opposition to today's enterprise practices, and the handiest one might be followed in subsequent tiers of this study's task. The output of this research task will permit ASIC designers to construct complex designs that have the maximum overall performance at the lowest feasible power consumption as compared to the existing counterparts. This stepped-forward efficiency will allow ASIC designers to build merchandise that might be of greater value and powerful in addition to being less complicated to manufacture and debug.
H2‐Fueled ATP Synthesis on an Electrode: Mimicking Cellular Respiration

Abstract ATP, the molecule used by living organisms to supply energy to many different metabolic processes, is synthesized mostly by the ATPase synthase using a proton or sodium gradient generated across a lipid membrane. We present evidence that a modified electrode surface integrating a NiFeSe hydrogenase and a F1F0‐ATPase in a lipid membrane can couple the electrochemical oxidation of H2 to the synthesis of ATP. This electrode‐assisted conversion of H2 gas into ATP could serve to generate this biochemical fuel locally when required in biomedical devices or enzymatic synthesis of valuable products.
Handwriting and children with visual impairments

Christine Arter and Steve McCall, Lecturers in Special Education (VI) at The University of Birmingham, and Tony Bowyer, peripatetic teacher of the Visually Impaired, Tameside, Greater Manchester stress the importance of early intervention in the teaching of handwriting to children with a visual impairment.
The Role of Pluralistic Ignorance in Perceptions of Unethical Behavior: An Investigation of Attorneys' and Students' Perceptions of Ethical Behavior

The purpose of this study was to empirically investigate the role of pluralistic ignorance in perceptions of unethical behavior. Buckley, Harvey, and Beu (2000) suggested that pluralistic ignorance plays a role such that individuals mistakenly believe that others are more unethical than they actually are. In two studies, we confirmed that pluralistic ignorance influences perceptions of ethics in a manner consistent with what Buckley et al. suggested. The implications of pluralistic ignorance in perceptions of ethics are discussed with suggestions for how pluralistic ignorance might be reduced and how research in this area may be extended.
The nature of a dusty ring in Virgo

We detected a ring-like distribution of far-infrared (FIR) emission in the direction of the centre of the Virgo cluster (VC). We studied this feature in the FIR, radio and optical domains, and deduced that the dust within the feature reddens the galaxies in the direction of the VC but does not affect stars within the Milky Way. This is likely to be a dusty feature in the foreground of the VC, presumably in the Galactic halo. The H i distribution follows the morphology of the FIR emission and shows peculiar kinematic behaviour. We propose that a highly supersonic past collision between an H i cloud and the Galactic H i formed a shock that heated the interface gas to soft X-ray temperatures. H i remnants from the projectile and from the shocked Galactic H i rain down on to the disc as intermediate-velocity gas. Our finding emphasizes that extragalactic astronomy must consider the possibility of extinction by dust at high galactic latitude and far from the Galactic plane, which may show structure on 1° and smaller scales. This is particularly important for studies of the VC, e.g. in the determination of the Hubble constant from Cepheids in cluster galaxies.
Compressing Time Series Towards Lightweight Integrity Commitments

In the current era of big data, the generation and preservation of time series data has seen widespread adoption in various sectors such as trade, healthcare, and industry. At the same time, data have become a prized asset, as we are witnessing an unprecedented explosion in the volume of data generated and collected. This includes data from various sources, such as sensors, social media, and transactions, offering a competitive edge to organizations that harness the power of data, leading them to informed decisions and rapid responses to changing conditions. However, it is essential to responsibly manage data, addressing privacy and security concerns to ensure their integrity and availability, while efficiently managing the cost of storage and operations. To address these challenges, there is a compelling de-mand for methods that compress these time series while ensuring that the compressed versions faithfully represent the original data and remain secure against tampering or unauthorized alterations. This paper introduces a novel approach to condensing time-series data into lightweight integrity commitments, leveraging polynomial vector commitments as a key component. These integrity commitments are integrated with blockchain technology, serving as a cornerstone in guaranteeing data integrity and authenticity, particularly in supply chain scenarios where trust and transparency are of the utmost importance.
International education: a force for peace and cross‐cultural understanding?

This paper discusses the notion that the international sojourn has the potential to transform sojourners into cultural mediators who carry the power to improve global relations. A year‐long ethnographic study of the adjustment experiences of international postgraduate students in England revealed a universal early enthusiasm for cross‐cultural contact that was matched by a widespread adoption of segregated patterns of interacting. The most common friendship networks were described as bonds with co‐nationals, and yet all students attested to an increase in their cultural learning and mindfulness by the end of the sojourn. Nevertheless, intercultural competence was maximised only in those few students who pursued a multicultural strategy of interaction, leading the researcher to call on higher education institutions to instigate policies to encourage lasting cross‐cultural contact.
Machiavellianism and Self-Monitoring: As Different as “Me” and “You”

Although both Machiavellianism (Christie & Geis, 1970) and self-monitoring (Snyder, 1974) are characterized by the use of effective impression management, previous research has indicated that the scales measuring the two traits are not significantly correlated. One explanation for the divergence of these dimensions is that Machiavellianism is associated with a self-oriented, “assimilative” form of impression management, whereas self-monitoring is associated with an other-oriented, “accommodative” form of impression management (Barnes & Ickes, 1979). This explanation suggested the hypothesis that Machiavellianism would be associated in dyadic conversations with the use of first-person singular pronouns at the expense of second- and third-person pronouns, whereas self-monitoring would be related to the use of second- and third-person pronouns at the expense of first-person singular pronouns. By analyzing the conversations occurring in 40 unstructured dyadic interactions, we obtained support for these hypoth.
A novel flash detection algorithm for single molecule counting with TIRF microscopy

A novel algorithm, Adjacent Pixel Temporal Intensity Correlation (APTIC), was developed to detect single fluorescent molecules by their stochastic emission patterns; photoblinking and photobleaching. The algorithm was evaluated using simulated image data and Total Internal Reflection Fluorescence Microscopy (TIRF-M) to count the number fluorescently labelled protein molecules adsorbed onto glass substrates modified by Radio Frequency Glow Discharge (RFGD) deposition. By selecting an appropriate correlation threshold, the algorithm was capable of detecting synthetic flashes with a signal-to-noise ratio (SNR) as low as 2.0 with 90% sensitivity. The methodology holds great promise for mapping the amount and distribution of biomolecules on surfaces.
The assessment of sexual knowledge in people with intellectual disability

The aims of this study were to evaluate components of a new tool, the Assessment of Sexual Knowledge (ASK), and to use it to assess the sexual knowledge of adults with intellectual disability. The ASK consists of a Knowledge Section, an Attitudes Section, a Quick Knowledge Quiz and a Problematic Socio‐Sexual Behaviours Checklist. A sample of 96 adults with intellectual disability participated in the study. The Knowledge Section was administered twice (with a one to two week interval between testing) to examine its test‐retest reliability. Inter‐rater reliability was determined by having a second scorer for approximately a third of participants. The Quick Knowledge Quiz (QKQ) was also administered to examine its relationship with the Knowledge Section. The results of this study suggest that the ASK is a tool that is reliable across examiners and will also elicit responses that are stable over time. The relationship between the Knowledge Section and the QKQ indicated that the QKQ is a predictor of knowledge scores in the ASK. In terms of people with intellectual disability's knowledge, the results demonstrated their poor overall knowledge of sexuality, particularly in the areas of sexually transmitted infections, sexual health, safer sex practices, legal issues and contraception.
Polarized Reconfigurable Water Dielectric Resonator Antenna

A polarized reconfigurable antenna is proposed in this paper. The proposed antenna consists of four water dielectric resonator antenna (WDRA) units and a 1:4 microstrip power divider. By controlling the water in the antenna unit, the antenna can realize reconfigurable polarization states among right-hand circular polarization (RHCP), left-hand circular polarization (LHCP) and linear polarizations (LP). Simulation results demonstrates a 3 dB axial ratio bandwidth of about 1% and a circular polarization impedance bandwidth of about 13.9%.
Evaluation of spam detection and prevention frameworks for email and image spam: a state of art

In recent years, online spam has become a major problem for the sustainability of the Internet. Excessive amounts of spam are not only reducing the quality of information available on the Internet but also creating concern amongst search engines and web users. This paper aims to analyse existing works in two different categories of spam domains - email spam and mage spam to gain a deeper understanding of this problem. Future reserch directions are also presented in these spam domains.