Miracle-dz/UniFAR-FTUs huggingface dataset:
A New Method of Data Encryption based on One to One Functions

Due to the rapid growth of computer networks, critical highly confidential information shared across these networks. Accordingly, securing such information from unauthorized intruders has become a vital issue in the field of information technology. In this paper, we present a new algorithm for encrypting and decrypting English plain text based on the well-known Caesar's algorithm and a special type of functions called One to One function. The proposed algorithm is referred to as the One to One function algorithm (OtO). The OtO belongs to a symmetric key concept where the same key is used in both encryption and decryption processes. In the OtO algorithm, the triplet ( K, a, b ) represent the private keys. To speed up the proposed OtO computation, the value of K is calculated based on Fibonacci sequence, on eigenvalues, Leslie matrices and Markov chain. This private key K only knew to the transmitter and receiver and considered one of the private keys used in the encryption process. When the message arrives at the receiver, it uses the inverse function of the proposed one to one function that used at the transmitter. The proposed OtO algorithm is conducted using MATLAB and its efficiency is checked in terms of encrypted time, decrypted time, and Avalanche Effect. We think that the obtained results are acceptable compared to famous algorithms DES, 3DES, AES and RSA.
EEG Neuro - processing for the development of neurointerfaces

Fast and accurate processing of electroencephalogram (EEG) signals is necessary for correct realization of neurointerfaces. Neural network is one of the ways of its processing. In this article the method of EEG processing with the help of multilayer perceptron trained by the algorithm of error backpropagation is considered. The results of modeling during training of the neural network showed the minimum value of the Mean Squared error.
Une nouvelle approche d’isotopomique pour identifier les dysrégulations du métabolisme des protéines et des acides aminés lors du développement du syndrome métabolique

Si les differentes composantes du syndrome metabolique (SM) sont susceptibles d’affecter le metabolisme proteique et des acides amines (AA), les donnees disponibles sont peu nombreuses et souvent contradictoires, du fait de l’heterogeneite de presentation de ce syndrome et des limites des approches classiques d’investigation du metabolisme azote. Ce travail de these met a profit une nouvelle approche isotopomique, s’appuyant sur la mesure de l’abondance naturelle des isotopes stables de l’azote (δ15N) et du carbone (δ13C) dans les proteines et AA tissulaires pour identifier les alterations du metabolisme proteique survenant lors de l’induction nutritionnelle d’un SM chez le rat. Nos resultats permettent dans un premier temps de valider experimentalement les predictions d’un modele multi-compartimental developpe dans le laboratoire et montrant que les δ15N refletent l’orientation differentielle des AA entre les voies anaboliques (proteosynthese) et cataboliques (oxydation). Nous avons egalement montre que sous certaines conditions, les δ13C permettent d’estimer la part des carbones des AA et proteines tissulaires provenant respectivement des proteines, glucides et lipides alimentaires, renseignant ainsi sur la flexibilite metabolique des individus. Les mesures de δ15N et δ13C dans les proteines et AA, seules ou combinees a la mesure des taux de synthese proteique apres administration d’eau deuteree, nous ont ensuite permis de mettre en evidence les modifications du metabolisme proteique et des AA survenant lors de l’exposition perinatale et post-sevrage a un regime gras et sucre, ainsi que celles associees a des differences de sensibilite individuelles a l’induction d’un syndrome metabolique par ce meme type de regime. Ces alterations sont tissu-specifiques et different selon qu’elles proviennent uniquement de differences de sensibilite individuelle au regime ou qu’elles sont egalement attribuables a des differences d’equilibre glucido-lipidique dans l’alimentation. L’ensemble de nos resultats montrent que l’apparition d’un SM est associee a des reorientations du metabolisme des AA entre les voies anaboliques et d’oxydation, affectant de facon differente le foie, le muscle, l’intestin et le tissu adipeux, et a une alteration de la flexibilite metabolique dans le muscle. Ces travaux ouvrent la voie a des etudes chez l’Homme, s’appuyant sur les mesures de δ15N et δ13C dans des pools accessibles.
General Overview on the Radar Conference in Boston 2019

Nowadays, 70–85% of the cost of modern warfare equipment is software-based solutions and services. These software modules define the quality and efficiency of the signal and data processing of the information of different sensors types. They are playing key roles in the artificial intelligence supported cognitive data processing and the effectiveness of the soldiers/decision-making commanders. The modernisation of the Hungarian Army, and the success of the Zrinyi 2026, basically depend on the understanding and professional service of the new technologies.
Zingerone ameliorates tellurium induced nephrotoxicity by abating elevated serum markers in the rats

The present study was designed to investigate the nephrotoxicity of tellurium (Sodium tellurite) in rats through evaluating the level of kidney functional marker enzymes and its treatment with Zingerone. Rats were divided into four groups, Group-A (control group), Group-B (tellurium treated group), Group-C (tellurium + Zingerone treatment group), and Group-D (Zingerone treatment alone) and each group have six animals. Tellurium was given in Group-B and Group-C at the dose of 8.3mg/kg bodyweight daily orally for 15 days, while Zingerone of 100mg/kg body weight was given in Group-C as pre- and post-treatment orally for 15days. Group-D was given alone Zingerone of 100mg/kg bodyweight; orally for 15 days. Results revealed that tellurium administration significantly (P<0.001) increased the serum markers (ALP, BUN, Uric Acid and Creatinine) in Group-B as a compared to Group-A while the treatment with Zingerone significantly (P<0.001) decreased these elevated serum markers in Group-C as comparison to Group-B. There were no changes observed in the positive control (Zingerone administered Group-D). Thus, the present finding confirmed that the Zingerone plays a potential role in reducing nephrotoxicity against tellurium by abating elevated serum markers in rats.
Management of southern corn rootworm and leafhoppers by treating seeds: field assessments in maize second crop in Southern Brazil

Maize productivity is highly affected by Diabrotica speciosa and Dalbulus maidis in the second crop seasons in southern Brazil. Thus, this study evaluated the effects of different systemic insecticides tested at recommended doses by seed treatment on the management of these two pest species and assessed the influenceof these treatments on maize yield. For this purpose, we conducted a 2-year fieldexperiments (2015/2016 and 2016/2017) at two locations (Chapeco and Guatambu) in Santa Catarina State, southern Brazil. The experiments were conducted under natural infestation of both pest species, with eight treatments [(Imidacloprid, thiamethoxam, imidacloprid+thiodicarb, fiponil, imidacloprid+bifenthrin, chlorantraniliprole, chlorantraniliprole+clothidian (standard used in industrial seed treatment), and a negative control (without insecticides)]. There were fivereplicates per treatment, totaling 40 experimental units. The results showed that seed treatment do not reduce population density of D. maidis after 21 days of plant emergence and injuries in the maize root system caused by D. speciosa larvae. In addition, insecticides via seed treatment do not affect productivity and crop yield components. Regardless of the location and year, root damage was positively correlated with diameter of the firstinternode and inversely correlated with grain yield. This research suggests that maize seed treatments not always provide economic benefits to farmers, such as pest eductions or yield improvements.
A relationship marketing orientation in politics: Young voters’ perceptions of political brands’ use of social media

ABSTRACT This study explores young voters’ perception of social media use and activities of political brands in light of their general apathy towards traditional politics. Focus groups were conducted with young voters to collect data. Relationship Marketing Orientation served as the study’s underpinning theoretical framework. Findings suggest that young voters perceive that mainstream political brands are not utilising social media to build online relationships. However, smaller political brands enjoyed a positive perception. This was due to them excelling on the dimensions of bonding, trust and shared values. The research provides executable recommendations to political brands and their social media teams. The research also identifies and proposes ‘customer education’ as the eighth dimension of relationship marketing orientation.
Rent-Seeking Activities, Misallocation, and Innovation in Argentina

What is the efficiency cost of rent-seeking activities in Argentina? This paper quantitatively shows that rent-seeking activities in the form of bribes have aggregate effects through two channels. First, they generate misallocation of resources across firms because they prevent resources from flowing to the most productive firms, reallocating resources instead to those that succeed at rent-seeking. Second, such activities affect the allocation of resources within firms because rent-seeking drives resources away from innovation. These two channels can help in understanding why Argentina has more misallocation across firms and less investment in research and development, compared with developed economies, explaining a sizable portion of Argentina's low productivity.
Erratum: Reviewing Experts’ Restraint from Extremes and Its Impact on Service Providers

This research investigates reviewing experts on online review platforms. The main hypothesis is that greater expertise in generating reviews leads to greater restraint from extreme summary evaluations. The authors argue that greater experience generating reviews facilitates processing and elaboration and enhances the number of attributes implicitly considered in evaluations, which reduces the likelihood of assigning extreme summary ratings. This restraint-of-expertise hypothesis is tested across different review platforms (TripAdvisor, Qunar, and Yelp), shown for both assigned ratings and review text sentiment, and demonstrated both between (experts vs. novices) and within reviewers (expert vs. pre-expert). Two experiments replicate the main effect and provide support for the attribute-based explanation. Field studies demonstrate two major consequences of the restraint-of-expertise effect. (i) Reviewing experts (vs. novices), as a whole, have less impact on the aggregate valence metric, which is known to affect page-rank and consumer consideration. (ii) Experts systematically benefit and harm service providers with their ratings. For service providers that generally provide mediocre (excellent) experiences, reviewing experts assign significantly higher (lower) ratings than novices. This research provides important caveats to the existing marketing practice of service providers incentivizing reviewing experts and provides strategic implications for how platforms should adopt rating scales and aggregate ratings.
Undescribed Color Polymorphism of the Asiatic Palm Weevil, Rhynchophorus vulneratus Panzer (Coleoptera: Curculionidae) in Indonesia: Biodiversity Study Based on COI Gene

Abstract Palm weevils are notorious insect pests of coconut palms in Indonesia and other palm species worldwide. Indonesian palm weevils exhibiting a rusty red marking on the pronotum are classified as the red palm weevil (Rhynchophorus ferrugineus Olivier; Coleoptera: Dryophthoridae). However, morphology-based identification and crossbreeding studies suggested that these insects are color morphs of the Asiatic palm weevil (Rhynchophorus vulneratus Panzer; Coleoptera: Dryophthoridae). The purpose of this study was to clarify the presence of undescribed color polymorphisms of the Asiatic palm weevil from Indonesia using a partial sequence of the cytochrome oxidase subunit I (COI) gene. The COIs of 107 specimens of palm weevils collected from Indonesia, Saudi Arabia, and Pakistan were amplified using Folmer primers. COI analysis revealed high intraspecific variability in palm weevils from Indonesia and Saudi Arabia. Although Folmer primers of COI are powerful species identification tools in many taxa, they were unsuitable in this research for Indonesian palm weevils because interspecific variation was lower than intraspecific variation. This study concluded that undescribed color polymorphisms exist in the Asiatic palm weevil. The rusty red polymorphisms of the Asian palm weevil might be erroneously identified as R. ferrugineus.
Protein Multiple Alignments: Sequence-based vs Structure-based Programs

Facing the huge increase of information about proteins, classification has reached the level of a compulsory task, essential for assigning a function to a given sequence, by means of comparison to existing data. Multiple sequence alignment programs have been proven to be very useful and they have already been evaluated. In this paper we wished to evaluate the added value provided by taking into account structures. We compared the multiple alignments resulting from 24 programs, either based on sequence, structure, or both, to reference alignments deposited in five databases. Reference databases, on their side, can be split in two: more automatic ones, and more manually ones. Scores have been attributed to each program. As a global rule of thumb, five groups of methods emerge, with the lead to two of the structure-based programs. This advantage is increased at low levels of sequence identity among aligned proteins, or for residues in regular secondary structures or buried. Concerning gap management, sequence-based programs place less gaps than structure-based programs. Concerning the databases, the alignments from the manually built databases are the more challenging for the programs.
RETRACTED ARTICLE: Alternate hosts and their impact on genetic diversity of Puccinia striiformis f. sp. tritici and disease epidemics

We, the Editor and Publisher of Journal of Plant Interactions have retracted the following article: Journal of Plant Interactions: Sajid Mehmood, Marina Sajid, Lili Huang & Zhensheng Kang (2020) Alternate hosts and their impact on genetic diversity of Puccinia striiformis f. sp. tritici and disease epidemics, Journal of Plant Interactions, 15:1, 153-165, DOI: 10.1080/17429145.2020. 1771445 . The above article has been retracted as a result of the Editor and the Publisher determining, through post-publication review, that there is significant overlap with a previously published article by the same authors, Mehmood S, Sajid M, Zhao J, Huang L, Kang Z. Alternate Hosts of Puccinia striiformis f. sp. tritici and Their Role. Pathogens. 2020; 9(6):434. We have had the full cooperation of the authors during our investigations. We have been informed in our decision-making by our policy on publishing ethics and integrity and the COPE guidelines on retractions. The retracted article will remain online to maintain the scholarly record, but it will be digitally watermarked on each page as “Retracted”.
Learning melodic musical intervals: To block or to interleave?

Musical interval identification is a valuable skill for holistic and sophisticated musicianship. Yet, discriminating and identifying intervals is often challenging, especially for musical novices. Drawing on cognitive psychological principles, we built two experiments that investigated the utility of interleaving in enhancing novices’ aural identification of melodic ascending intervals. Specifically, we designed a novel programmed intervention during which novices learnt six interval types in an interleaved schedule (different interval types learnt interspersed) and six interval types in a blocked schedule (each interval type drilled several times before proceeding to the next) within a single session. When implemented in combination with familiar reference songs and singing as supplementary learning aids, interleaving and blocking yielded comparable performance on a test requiring participants to classify novel instances of the studied interval types (Experiment 1). However, in the absence of reference songs and singing, a robust interleaving effect emerged—interleaving produced superior musical interval identification than blocking (Experiment 2). Yet, most participants were unaware of the benefits of interleaving, and misjudged blocking to be more effective. These findings highlight the potential influence of context under which interleaving is a beneficial technique for learning melodic musical intervals.
Community work, love and the indigenous worldview of buen vivir in Peru

The Latin American indigenous knowledge paradigm of buen vivir (‘living well’) encapsulates an equilibrium of rights of people and nature, with a ‘solidarity economy’ emphasising equities, equality and freedoms, social justice and ecological justice. In participatory research in Peru, community workers developed a love-based framework of practice that reflects features of buen vivir. Participants suggest love is values-based feeling and action aiming for a world of peace, happiness and prosperity by transforming social conditions for a system of equality through participatory and democratic processes. The findings enhance developmental social work and buen vivir literature with a localised, relationship-oriented practice approach.
Bridge Crack Detection Based on SSENets

Bridge crack detection is essential to prevent transportation accidents. However, the surrounding environment has great interference with the detection of cracks, which makes it difficult to ensure the accuracy of the detection. In order to accurately detect bridge cracks, we proposed an end-to-end model named Skip-Squeeze-and-Excitation Networks (SSENets). It is mainly composed of the Skip-Squeeze-Excitation (SSE) module and the Atrous Spatial Pyramid Pooling (ASPP) module. The SSE module uses skip-connection strategy to enhance the gradient correlation between the shallow network and deeper network, alleviating the vanishing gradient caused by the deepening of the network. The ASPP module can extract multi-scale contextual information of images, while the depthwise separable convolution reduces computational complexity. In order to avoid destroying the topology of crack, we used atrous convolution instead of the pooling layer. The proposed SSENets achieved a detection accuracy of 97.77%, which performed better than the models we compared it with. The designed SSE module which used skip-connection strategy can be embedded in other convolutional neural networks (CNNs) to improve their performance.
Scaling Up Battery Swapping Services in Cities

Battery swapping for electric vehicle refueling is reviving and thriving. Despite a captivating sustainable future where swapping batteries will be as convenient as refueling gas today, tensions are mounting in practice (beyond the traditional “range anxiety” issue): On one hand, it is desirable to maximize battery proximity and availability to customers. On the other hand, it is undesirable to incur too many batteries which are environmentally detrimental. Additionally, power grids for battery charging are not accessible everywhere. To reconcile these tensions, some cities are embracing an emerging infrastructure network: Decentralized swapping stations replenish charged batteries from centralized charging stations. In this paper, we model this new urban infrastructure network. This task is complicated by non-Poisson swaps (observed from real data), and by the intertwined stochastic operations of swapping, charging, stocking and circulating batteries among swapping and charging stations. We show that these complexities can be captured by analytical models. We next propose a new location-inventory model for citywide deployment of hub charging stations, which jointly determines the location, allocation and reorder quantity decisions with a non-convex non-concave objective function. We solve this problem exactly and efficiently by exploiting the hidden submodularity and combining constraint-generation and parameter-search techniques. Even for solving convexified problems, our algorithm brings a speedup of at least three orders of magnitude relative to Gurobi solver. The major insight is twofold: Centralizing battery charging may harm cost-efficiency and battery asset-lightness; however, this finding is reversed if foreseeing that decentralized charging will have limited access to grids permitting fast charging. We also identify planning and operational flexibilities brought by centralized charging. In a broader sense, this work deepens our understanding about how mobility and energy are coupled in future smart cities.
Statistically significant learning experiences: towards building self-efficacy of undergraduate statistics learners through team-based learning

ABSTRACT Competence in statistics is a fundamental component of a biological scientist’s toolbox. However, anxiety often affects undergraduate students’ development of this competence and research has shown that perceived self-efficacy for statistics is correlated to academic performance. Self-efficacy may be promoted by reducing anxiety , and also allowing students to practice their skills in groups to model approaches used and obtain peer feedback. We undertook action research to investigate how a change in teaching method to team-based learning (TBL) affected our students. The first iteration of the teaching with Year 2 students led us to change our delivery to allow more time for teamworking for the next iteration with Year 1 students. We found that some measures of self-efficacy were correlated with a post-TBL summative test performance of Year 1 and Year 2 students. However, Year 1 students were less positive about TBL. This corroborated quantitative findings revealing that they had lower collective efficacy than Year 2 students, despite teams performing as well during formatively assessed TBL. We draw on self-efficacy theory to better understand why students perceive and report differing learning experiences, and to make recommendations for designing teaching and learning that helps build their self-efficacy.