Miracle-dz/UniFAR-FTUs huggingface dataset:
A Visionary Look at the Security of Reconfigurable Cloud Computing

Field-programmable gate arrays (FPGAs) have become critical components in many cloud computing platforms. These devices possess the fine-grained parallelism and specialization needed to accelerate applications ranging from machine learning to networking and signal processing, among many others. Unfortunately, fine-grained programmability also makes FPGAs a security risk. Here, we review the current scope of attacks on cloud FPGAs and their remediation. Many of the FPGA security limitations are enabled by the shared power distribution network in FPGA devices. The simultaneous sharing of FPGAs is a particular concern. Other attacks on the memory, host microprocessor, and input/output channels are also possible. After examining current attacks, we describe trends in cloud architecture and how they are likely to impact possible future attacks. FPGA integration into cloud hypervisors and system software will provide extensive computing opportunities but invite new avenues of attack. We identify a series of system, software, and FPGA architectural changes that will facilitate improved security for cloud FPGAs and the overall systems in which they are located.
Lateral Control for Automated Vehicles Based on Model Predictive Control and Error-Based Ultra-Local Model

: The paper proposes a combined control design framework using Model Predictive Control (MPC) and ultra-local model-based methods. The main idea behind the control algorithm is to exploit the advantage of both approaches. During the control input computation, a simpliﬁed model is used, which has a signiﬁcant impact on the computational cost. Moreover, the simpliﬁed model does not contain hardly measurable or varying vehicle-speciﬁc parameters, which makes the whole control design process easier. The ultra-local model is used to deal with the unmodeled dynamics of the vehicle, by which the performance of the control system can be increased. The effectiveness of the proposed control structure is demonstrated through trajectory tracking problem of autonomous vehicles. The whole algorithm is implemented in a high-ﬁdelity vehicle dynamics simulation software, whose results are compared to an accurate model-based MPC in terms of computational cost and tracking accuracy.
Employing Response Surface Methodology for Investigating the Impact of Nigella sativa L. Oil on Physicochemical and Organoleptic Changes of Gouda Cheese upon Accelerated Storage

The primary goal of many producers was to preserve the quality of Gouda during maturation storage. The concentration of Nigella sativa L. oil and ripening time were two main variables in the present research that were improved using the Response Surface approach (RSM). The optimal conditions for ripening Gouda cheese were 0.29 (v/v) SFNSO concentration and 2.8 months at 14°C. It was determined that the RSM models were the best methodology for maintaining the selected Gouda cheese. The optimal Gouda cheeses: pH, fat content, moisture content, total protein, water activity (aw), ADV, and overall acceptability were found to be 5.9, 30.67%, 38%, 23.8%, 0.9131, 4.3, and 8.4, respectively. Additionally, there was a sizable overlap between the experimental and anticipated outcomes, which supported the accuracy and dependability of the proposed approach. The use of supercritical fluid Nigella sativa L. oil SFNSO on Gouda cheese improved and sustained the stability of Gouda cheese over storage time while higher black cumin concentrations had a negative effect on the sensory properties, resulting in dark appearance and bitter taste. Finally, it is necessary to produce excellent Gouda cheese on a practical scale under ideal RSM conditions.
Comprehensive comparative toxicity study on tomato (Solanum lycopersicum) and brinjal (Solanum melongena) using green labelled insecticides against Bemisia tabaci

Bemisia tabaci a serious sucking pest of tomato (Solanum lycopersicum L.) and brinjal (Solanum melongena L.), is mostly managed using high-dose conventional insecticides, which are harmful for end-users and the environment. Target-insect is also known to exhibit host-dependent variation in insecticidal toxicities; therefore an experiment was conducted during 2020–22 at ICAR-Indian Agricultural Research Institute, New Delhi, to study the host-specific toxicity relationships on tomato and brinjal using market-available safer insecticides with green labels in the Indian context. Bioefficacy evaluated on eggs, nymphs, and adults using leaf-dip bioassay (IRAC) recorded higher LC50 for candidate insecticides (clothianidin, spinetoram and cyantraniliprole), but lower toxicities for azadirachtin and novaluron for test-insects reared on brinjal. The possible role of test-leaf on LC50 was evaluated in a reciprocal way, i.e. test-populations grown in tomato were subjected to brinjal leaf bioassay and vice versa. This resulted to no significant change in LC50 and implies no effect of the test leaf. Feeding (honeydew excretion) and oviposition studies showed higher honeydew excretion (76.4 mm2) and egg-laying (43.6 eggs) per 20 adults on brinjal. Detoxification enzymatic activities in control showed the test enzymes, viz. carboxylesterase, glutathion S-transferase and cytochrome P450 monooxygenase, were at higher concentrations in the brinjal population, i.e. 1.75, 1.43 µ mol/min/mg, and 3.10 n mol/min/mg of protein. Results showed that brinjal is the preferred host for B. tabaci, on which it develops healthier and resulting in a higher insecticide dose to arrive at the desired lethal effect.
3D borehole geophone orientation study, central Alberta

Geophone orientation azimuths were found analytically from 3D and 2D walkaway VSP data acquired near Lousana, Alberta. The 3D dataset was divided based on sourcewell azimuth into bins with centers trending 0°-180°, 45°-225°, 90°-270° and 135°-315°; the standard deviation in orientation azimuth was found to be 5.24° using all azimuths, and 1.28°, 0.66°, 1.07° and 2.77° respectively when binned. The 2D dataset consisted of three lines; the standard deviation for this survey was 1.73° for all lines, 1.87° for the east line, 0.71° for the southeast line and 1.81° for the south line. In both cases, the mean angle calculated for each receiver did not appear to have any dependence on source-well azimuth, suggesting flat, isotropic geology near the well. Removal of sources nearer than 300 m (approximately 1/3 of the geophone depth) significantly improved the scatter in the 2D walkaway, but had little effect on the 3D walkaway. Finally, the orientation angles for the 3D walkaway analysis were also calculated using a linear regression analysis of trace hodograms. Results showed that mean angles calculated using this method differed from the analytic method by less than 1° on average, but that the analytic method produced less scatter.
Exploring the Role of TaPLC1-2B in Heat Tolerance at Seedling and Adult Stages of Wheat through Transcriptome Analysis

Heat stress is a major abiotic stress that can cause serious losses of a crop. Our previous work identified a gene involved in heat stress tolerance in wheat, TaPLC1-2B. To further investigate its mechanisms, in the present study, TaPLC1-2B RNAi-silenced transgenic wheat and the wild type were comparatively analyzed at both the seedling and adult stages, with or without heat stress, using transcriptome sequencing. A total of 15,549 differentially expressed genes (DEGs) were identified at the adult stage and 20,535 DEGs were detected at the seedling stage. After heat stress, an enrichment of pathways such as phytohormones and mitogen-activated protein kinase signaling was mainly found in the seedling stage, and pathways related to metabolism, glycerophospholipid metabolism, circadian rhythms, and ABC transporter were enriched in the adult stage. Auxin and abscisic acid were downregulated in the seedling stage and vice versa in the adult stage; and the MYB, WRKY, and no apical meristem gene families were downregulated in the seedling stage in response to heat stress and upregulated in the adult stage in response to heat stress. This study deepens our understanding of the mechanisms of TaPLC1-2B in regard to heat stress in wheat at the seedling and adult stages.
The role of surface roughness on the electrical behavior of flexible and stretchable screen-printed silver ink on Kapton substrate

Changes in the morphology and profile of the printed electronic traces affect the radio frequency (RF) performance, especially when compared to the simulated designs, which are primarily rectangular and smooth. The shape and morphology of the printed traces depend on the printing system, a combination of ink and substrate properties, and the printed technology used for fabrication. This paper investigates the significance of printing parameters like roughness, height, width, and profile shape on the RF performance of screen-printed traces statistically. This paper also derives a model based on actual profile shape and roughness measurements from incorporating these effects into the simulations. From the statistical study, we found that the role of surface roughness becomes more significant as the frequency increases. Thus, modeling surface roughness in flexible hybrid electronics simulations is fundamental for accurate results. Different simulated profile shapes also showed their effect on the RF performance, when combined with roughness, showed better correlation with experimental data. Our proposed model combines the modified Morgan and Hammerstad equation with the compound conductor model. Our proposed model uniquely integrates the modified Morgan and Hammerstad equation with the compound conductor model, leveraging a comprehensive approach focused on the quality and uniformity of printed electronics trace. This integration is aimed at constructing a model that is firmly grounded in actual roughness data, resulting in a solution that is both straightforward to implement and exceptionally accurate in its outcomes. The model agreed well with experimental measurement data over 7 GHz–40 GHz with a root-mean-square error average of 5.7%.
Les rongeurs myomorphes forestiers du Nord-Est du Gabon : structure du peuplement, démographie, domaines vitaux

Etude des communautes de rongeurs de la foret ombrophile du Nord Est du Gabon realisee pendant 15 mois en 1980 et 1981. 8 especes de Muridae et 1 de Dendromuridae ont ete capturees. L'espece la plus abondante est Hylomiscus stella. La repartition, la densite et la dynamique des populations des especes les plus abondantes sont presentees
Construction d’un indice de conformité locale entre deux surfaces traitées en mode image

L'indice de conformité présenté ici est construit pour estimer la relation locale entre deux phénomènes spatialement continus. Il s'applique à des caractères thématiques transcrits sous la forme d'images (mode maillé ou raster) et il utilise la convolution d'une fenêtre mobile pour effectuer des mesures vectorielles sur les portions homologues des deux images. Au départ de ces mesures, un indice de conformité, normalisé entre (-1) et (+1), est calculé pixel par pixel. La procédure conduit ainsi à l'obtention d'une image de l'intensité et du sens de la relation entre les deux phénomènes. Plusieurs paramètres interviennent dans le calibrage de l'indice, de sorte que son calcul peut être adapté à la nature des phénomènes étudiés et, éventuellement, à leurs unités de mesure.
Bayesian Hierarchical Modelling of Basketball Team Performance: An NBA Regular Season Case Study

: The main goal of this study is to propose two Bayesian hierarchical modelling approaches using basketball game data from the 2008/2009 NBA regular season. The aim of the first approach is to estimate the results of each match during the season. This is done by considering each scoring method in basketball separately, that is, free throws, 2-point shots and 3-point shots, and estimating the offensive and defensive ability with respect to each scoring method for each team. These attributes are then used to produce a final score for each match. We attempt both the Poisson and the negative binomial distribution to model the scoring propensities. Both models are used to predict game outcomes and final standings, and since we find the negative binomial approach to be considerably superior, we use it to determine overall attack and defense abilities of each time for each scoring method. The second modelling approach, on the other hand, focuses on finding the probability of the home team winning a particular match in the season. Due to MCMC convergence issues, this model is represented by just one parameter representing overall strength for each team rather than two. When comparing the winning probability approach with the scoring propensity approach, we find that the latter is superior at predicting game outcomes, the former is superior at predicting final standings, while both are comparable in predicting which teams will qualify to playoffs.
Path analysis for morphological traits in maize (Zea mays L.)

Six inbred lines were crossed according to incomplete diallel method. In this way fifteen hybrid combinations were obtained. Hybrid combinations derived from these parental components were used in this work. The objective of study was to estimate direct and indirect effects of five morphological traits on grain yield by the application of the simple coefficient correlation and path coefficient analysis. The trait number of leaves above the top ear with the value of 0.736 has the strongest direct positive effect on grain yield. Positive direct effects on grain yield were also observed for height to tassel base and plant height, while negative direct effects were observed for ear height and total number of leaves. As far as indirect effects were considered, a positive effect of the ear position height on yield over the total plant height stands out. The evaluation of the proportion of mutual effects of five observed morphological traits on grain yield, expressed by the coefficient of multiple determination (R2y12345) amounted to 0.7881. [Projekat Ministarstva nauke Republike Srbije, br. TR31068]
Intake of Palmitic Acid and Its association with Metabolic Flexibility in Middle-Aged Individuals: A Preliminary Study

Background: Disparities in data regarding the health effects of dietary fats may arise from the distinct roles various dietary fatty acids play in metabolic flexibility (MF). Objective: This study aimed to assess the relationship between dietary palmitic acid (PA) intake and its association with body fat deposition and MF in middle-aged healthy individuals. Methods: Fifteen healthy participants (n=15; 6 males, 9 females) with a mean age of 54 were enlisted. They were subjected to graded exercise tests using a cycle ergometer coupled with a calorimeter. Respiratory gas exchange was evaluated to determine two MF parameters. First, the MF index (MFI) was derived by multiplying peak fatty acid oxidation (PFO) per kg of fat-free mass (FFM) with the percentage of VO2max at PFO. The second parameter, Peak Energy Substrates’ Oxidation (PESO), was computed by aggregating the kilocalories from PFO and Peak Carbohydrate Oxidation (PCO), normalized per kg FFM. Dietary intake was gauged using a 7-day dietary record. Spearman’s regression was employed to analyze the association between dietary intake of specific fat classes, PA, MF parameters, and body fat percentage. Results: Preliminary results demonstrate that dietary saturated fatty acids (SFA) within physiological limits correlate with enhanced substrate oxidation capacity. This suggests augmented MF in middle-aged subjects. Among dietary SFAs, PA was identified as the primary factor in this favorable correlation. Conclusions: Our initial observations, even though preliminary, strongly suggest a beneficial association between PA intake, MF, and body fat percentage. This underscores the potential nutritional importance of PA in promoting MF.
Quantitatively Assessing Roads Extracted from High-Resolution Imagery

Urban mapping has become a challenge for scientists since the launch of high spatial resolution satellites. This paper focuses on the problem of quality when extracting roads from such data. The definition of a judicious reference enabling the establishment of quantitative criteria is proposed. A method is presented and two sets of criteria dedicated to the evaluation of road extraction algorithms are introduced. An example of an application is proposed enhancing the benefits of a rigorous approach of this problem.
Shape Transformation with CycleGAN Using an Automobile as an Example

: AI technology has developed remarkably in recent years, and AI-based image generation tools have spread rapidly. CycleGAN is one of the image generation AIs and specializes in image style transformation, and has the problem of being able to change colors and patterns but not shapes. The reason may be that the model considers the background as a part of the conversion target, which can be solved by removing the background. In this study, the number of backgrounds is limited to a certain number, and CycleGAN is used for shape transformation.The evaluation is done by comparing the result of this experiment with the image transformation when the input is an image with the background removed.Comparison of the proposed and conventional methods showed comparable results.
Event Detection in News Articles: A Hybrid Approach Combining Topic Modeling, Clustering, and Named Entity Recognition

: This research presents a comprehensive analysis of news articles with the primary objectives of exploring the underlying structure of the data and detecting events contained within news articles. The study collects articles from Greek online newspapers and focuses on analyzing a sub-set of this data, related to a predeﬁned news topic. To achieve this, a hybrid approach that combines topic modeling, feature extraction, clustering, and named entity recognition, is employed. The obtained results prove to be satisfactory, as they demonstrate the effectiveness of the proposed methodology in news event detection and extracting relevant contextual information. This research provides valuable insights for multiple parties, including news organizations, researchers, news readers, and decision-making systems, as it contributes to the ﬁelds of event detection and clustering. Moreover, it deepens the understanding of applying solutions that do not require explicit human intervention, to real-world language challenges.
Evaluation of Information Retrieval Models and Query Performance Predictors for Amharic Adhoc Task

: Query performance prediction (QPP) is the task of evaluating the quality of retrieval results of a query within the context of a retrieval model. Although several research activities have been carried out on QPP for many languages, query performance predictors are not studied yet for Amharic adhoc information retrieval (IR) task. In this paper, we present the effect of various IR models on Amharic queries, and make some analysis on the computed features for QPP methods from both Indri and Terrier indexes based on the Amharic Adhoc Information Retrieval Test Collection (2AIRTC). We conducted various experiments to attest the quality of Amharic queries and performance of IR models on 2AIRTC which is TREC-like test collection. The correlation degree between predictors is used to measure the dependence between various query performance predictors, or between a predictor and a retrieval score. Our finding shows that Jelinek-Mercer model outperformed the BM25 and Dirichlet models. The finding also indicates the correlation matrices between the query-IDF predictors and the evaluation measures show very low Pearson correlation coefficient values.
Phylogenetic study of Aliinostoc species (Cyanobacteria) using pc-igs, nifH and mcy as markers for investigation of horizontal gene transfer

Selection of genes that have not been horizontally transferred for prokaryote phylogenetic studies is regarded as a challenging task. Internal transcribed spacer of ribosomal genes (16S–23S ITS), microcystin synthetase genes (mcy), nitrogenase (nifH) and phycocyanin intergenic spacer (PC-IGS) are among the most used markers in cyanobacteria. The region of the ribosomal genes has been considered stable, whereas the nifH, mcyG and PC-IGS may have undergone horizontal transfer. To investigate the occurrence of horizontal transfer of nifH, mcyG and PC-IGS, phylogenetic trees of Aliinostoc strains Ay1375 and Me1355 were generated and compared. Phylogenetic trees based on the markers were mostly congruent for PC-IGS, indicating a common evolutionary history among ribosomal and phycocyanin genes with no evidence for horizontal transfer of PC-IGS. Phylogenetic trees constructed from the nifH and 16S rRNA genes were incongruent. Our results suggest that nifH has been transferred from one cyanobacterium to another. Moreover, the low non-synonymous/synonymous mutation ratio (Ka/Ks) was consistent with an ancient origin of the mcyG.
THE IMPACT OF HR STRATEGY ON KNOWLEDGE CAPABILITY IN THE MALAYSIAN ELECTRICAL AND ELECTRONICS FIRMS

This paper identified the impact of the human resource (HR) strategy on knowledge capability in the Malaysian electrical and electronics firms. Due to the importance of electrical electronics firms to the Malaysian economy, the objectives investigate the impact of human resource strategy on knowledge capability in this sector. A quantitative approach using a questionnaire as the research tool was adopted using a 5-point Likert scale. The respondents of this study consist of 287 managers from electrical and electronic firms across Malaysian states including Kuala Lumpur, Selangor, Penang, Johor, Kedah, and Melaka. The list from the Federation of Malaysian Manufacturers (FMM) indicated that most of the firms were located in these states. Statistical package forsocial science was used to generate the descriptive statistics besides the partial least squares structural equation modelling (PLS SEM) as the statistical instrument to examine the measurement model and structuralmodel. The results confirmed that human resource strategy (facilitation, accumulation, utilization, etc.) is significant to knowledge capability (T-shaped skills, IT support, learning culture, centralized structure, etc.) in Malaysian electrical and electronics firms. Based on the results, the HR strategy adopted by a firm has a significant effect and can be a strong predictor of the knowledge. Some guidelines are suggested for top management and decision-makers in electrical and electronics firms on how to encourage the application of human resource strategy that enhances the level of knowledge and skills, besides developing appropriate behaviour. Eventually, management and decision-makers would identify the necessary steps on how toencourage and generate knowledge capability in their organizations.