Miracle-dz/UniFAR-FTUs huggingface dataset:
Implementation of inflection effect of the rumbling alteration using fractal surfaces on the one-of-branch tangency situation in short-syllable

The short-syllable was examined using fractal surface, one of the unit of organization for a sequence of speech sounds techniques. A square-built welter-rough status with continuous surge conversion was confirmed by irradiating a certain amount of fractal surfaces on a timed-syllable. We determined that the scattered signal generated by the short-syllable for a few seconds was formed by several surge perception gestalts as brighten-distinguish realization level (BDRL) of the fractal surface. Welter-rough was organized according to the realization level, and various syllable techniques were used to identify the phenomenon conditions of brighten square-shape-dot. The degree of scatter in monosyllabic words varied according to the level of the square-shaped dot. The maximum average value formed in the welter-rough status was calculated as the result value as a result of the acutely converted output of the BDRL. Surge square-shape-dot rough presented that far alteration value of Su-RG-FA-? AVG with 16.97±9.24 units. Surge convenient alteration value presented Su-RG-CO-? AVG with 8.66±3.08 units. Surge flank alteration value presented Su-RG-SU-? AVG with 2.80±0.74 units. Surge vicinage alteration value presented Su-RG-VI-? AVG with 0.55±0.21 units. BDRLs formed in the welter-rough state expanded the realization level to form a square-shape-dot. We speculated that the surge realization gestalt might be scattered according to the square formed by the welter-through gestalt. By varying the short-syllables with various syllable techniques, we found that BDRL of ability to distinguish between short-syllables required for the realization level emerged. This degree of scattering allowed us to characterize the surge realization gestalt in short-syllables and paved the way for the use of welter-rough level data for the welter realization system.
Catching the invisible-aerodynamic tracks and kinematics of bat and bird flight

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Spin-Antenna: 3D Motion Tracking for Tag Array Labeled Objects via Spinning Antenna

Nowadays, the growing demand for the 3D human-computer interaction (HCI) has brought about a number of novel approaches, which achieve the HCI by tracking the motion of different devices, including the translation and the rotation. In this paper, we propose to use a spinning linearly polarized antenna to track the 3D motion of a specified object attached with the passive RFID tag array. Different from the fixed antenna-based solutions, which suffer from the unavoidable signal interferences at some specific positions/orientations, and only achieve the good performance in some feasible sensing conditions, our spinning antenna-based solution seeks to sufficiently suppress the ambient signal interferences and extracts the most distinctive features, by actively spinning the antenna to create the optimal sensing condition. Moreover, by leveraging the matching/mismatching property of the linearly polarized antenna, i.e., in comparison to the circularly polarized antenna, the phase variation around the matching direction is more stable, and the RSSI variation in the mismatching direction is more distinctive, we are able to find more distinctive features to estimate the position and the orientation. We build a model to investigate the RSSI and the phase variation of the RFID tag along with the spinning of the antenna, and further extend the model from a single RFID tag to an RFID tag array. Furthermore, we design corresponding solutions to extract the distinctive RSSI and phase values from the RF-signal variation. Our solution tracks the translation of the tag array based on the phase features, and the rotation of the tag array based on the RSSI variation. The experimental results show that our system can achieve an average error of 13. 6cm in the translation tracking, and an average error of 8.3° in the rotation tracking in the 3D space.
Effects of polyphenols on human health

Polyphenols are nutrients that are classified as phytochemicals because they are found exclusively in foods of plant origin. They are divided into flavonoids (flavonols, flavones, isoflavones, anthocyanins, flavon-3-ols, and flavones) and nonflavonoids (phenolic acids, stilbenes, lignans, dihydrochalcones, and coumarins). Research shows that polyphenols have multiple positive health effects. This paper aims to systematize recent scientific results on the effects of polyphenols on health. A search of the scientific literature of the last 20 years in the English language on the health effects of polyphenols was performed in the "PubMed" database using the keywords: "polyphenols"; "microbiota"; "diabetes mellitus"; "cardiovascular diseases"; "cognitive functions"; "viral diseases"; "cancer"; "mental health" and "dyslipidemias". There is a mutual positive influence of polyphenols and microbiota. Polyphenols affect the composition of the microbiota, especially the growth of beneficial microbiotic strains. In epidemiological studies, polyphenols have shown a protective effect concerning DM type 2 by lowering blood glucose and glycosylated hemoglobin, reducing insulinemia and increasing insulin sensitivity, reducing inflammation and oxidative stress in cells. By reducing arterial stiffness, oxidative stress, inflammation, and endothelial dysfunction, and regulating the production of nitrogen monoxide and cytokines, they reduce the risk of hypertension, myocardial infarction, and cerebral insult. Polyphenols have a positive effect on cognitive functions and executive functioning and reduce the risk of Parkinson's disease. Their antiviral effect is based on the inhibition of the enzyme helicase, which is necessary for viral replication and recombination, reduction of oxidative stress, virucidal effect, interaction with the structural proteins of the virus, and interference with the fusion of the virus with the cell membrane, reduction of inflammation and increase of immunity and reduction of dysbiosis in the intestines and lungs. The protective effect of polyphenols concerning cancer is based on induced apoptosis, inhibition of the matrix-metalloproteinase enzyme that enables metastases, inhibition of tumor growth, and inhibition of angiogenesis. In terms of mental health, polyphenols reduce the risk of depression and ADHD (Attention Deficit Hyperactivity Disorder) and have a beneficial effect on the reduction of tardive dyskinesia in patients with schizophrenia. They also have a positive effect on dyslipidemia, by reducing the level of LDL cholesterol and increasing the level of HDL cholesterol. Polyphenols are phytochemicals with multiple positive health effects. They work synergistically with the gut microbiota. Epidemiological studies have shown that polyphenols reduce the risk of diabetes mellitus type 2, hypertension, myocardial infarction, cerebral insult, viral diseases, Parkinson's disease, cognitive disorders, cancer, depression, and dyslipidemia. Nutritional support or supplementation with polyphenols can be recommended in the primary and secondary prevention of the mentioned diseases.
Etude des variations interannuelles de la production herbacée des pâturages sahéliens : exemple du Gourma malien

Fortement dependante de la disponibilite en eau du sol, et donc du regime de la mousson ouest africaine, la dynamique saisonniere et interannuelle de la vegetation herbacee sahelienne montre une forte variabilite spatiale et temporelle de la production vegetale. L'objectif principal de cette these est d'analyser et de caracteriser le fonctionnement du tapis herbace a l'aide de la modelisation et de mesures de terrain pour expliquer les variations de la production primaire en relation avec les forcages externes principalement de nature climatique mais aussi biotique comme l'activite pastorale. L'analyse de mesures recoltees durant la periode 1984-2002 dans une region du Sahel, le Gourma malien, demontre une reponse complexe du tapis herbace face aux contraintes environnementales en terme de production mais aussi de recouvrement et diversite. Par ailleurs, les mesures sur l'ensemble du Gourma contribuent a decrire un gradient nord-sud de la vegetation en relation avec la variabilite spatiale des precipitations en terme de cumul et de distribution. Le modele de fonctionnement STEP (Sahelian Transpiration Evaporation and Production model) adapte aux zones arides simule a l'echelle de la station, le bilan hydrique et l'evolution journaliere de la masse herbacee epigee. Le fonctionnement de la vegetation herbacee est alors quantifie a l'aide des efficiences d'utilisation de la lumiere et de l'eau derivees des simulations.
Vanillin attenuates oxidative stress and neurochemical balance in MPTP-induced Parkinson's disease mice by regulating the TLR-4 inflammatory pathway.

This study investigated the protective effect of vanillin against Parkinson's disease (PD). 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP; 30 mg/kg) was administered s.c. for 6 consecutive days to induce PD and mice were treated with vanillin (100 and 200 mg/kg, p.o.) for 15 days. Cognitive, motor and non-motor functions were assessed to evaluate the effect of vanillin in PD mice. Levels of dopamine and glutamate and activity of monoamine oxidaseB (MAO-B) were estimated in vanillin-treated PD mice. The effect of vanillin on the level of lipid peroxidation and superoxide dismutase in brain tissue of PD mice was estimated. Data of the study revealed that vanillin reversed the altered cognitive, motor and non-motor function in PD mice. Activity of MAO-B and neurochemical level were attenuated with vanillin in PD mice. Inflammatory cytokines, nuclear factor kappa B (NF-kB) and Toll-like receptor 4 (TLR-4) levels were lower in the vanillin-treated group compared to the PD group of mice. Data of the study suggest that vanillin protects against neuronal injury and recovers the altered behaviour in PD mice by regulating neurochemical balance and the TLR-4/NF-kB pathway.
Infinite Weighted p-Norm Sparse Iterative DOA Estimation via Acoustic Vector Sensor Array under Impulsive Noise

Recently, many direction-of-arrival (DOA) estimation techniques based on sparse representation have been proposed. However, these techniques often suffer from performance degradation issues in the presence of impulsive noise. This paper aims to overcome this challenge in conventional sparse-based techniques on an acoustic vector sensor array (AVSA). Firstly, to remove high outliers from the array output data, the output information of the AVSA is weighted by using the infinite norm. To further suppress outliers, a p-order cost function is formulated by extending the Frobenius norm to lower order, and then the expression of the signal power is quantified. Lastly, the DOA is approximated on the signal power by a spectral peak search mechanism. DOA estimation results based on Monte Carlo simulations validate the accuracy and robustness of the proposed techniques herein compared to the current, available methods in the context of intense impulsive noise, low generalized signal–to–noise ratio (GSNR), and a smaller number of snapshots.
The Assessment of Nursing Staff Knowledge and Barriers Regarding Aseptic Techniques in Khartoum Teaching Hospital, Sudan

Background Aseptic techniques are crucial in preventing healthcare-associated infections, which are an integral part of standard precautions, and encompass a range of practices designed to safeguard patients from healthcare-associated infections. Objective The objective of this study was to evaluate the level of knowledge and identify the barriers faced by nursing staff in implementing aseptic techniques. Methodology This study employed a stratified random sampling technique to ensure the representation of the research sample. A cross-sectional, descriptive research design was used to assess the knowledge and barriers of nursing staff in maintaining aseptic techniques in their medical practice at Khartoum Teaching Hospital, Sudan. The nursing staff members were divided into different units, and a proportionate number of participants were randomly selected from each stratum. A total of 83 nursing staff members were recruited for this study. Data collection was conducted using a structured questionnaire specifically designed for this study. The questionnaire consisted of items that assessed the nursing staff's knowledge and barriers to aseptic technique implementation. Results The study findings revealed that the mean knowledge score of nursing staff was 14.12, with a median score of 15. The knowledge score had a standard deviation of 3.22. Approximately two-thirds of the nurses (66.3%) had an average level of knowledge, while 33.7% had a below-average level of knowledge. The chi-square analysis indicated a significant association between educational level, years of experience, and knowledge scores (P value=0.010) at a significance level of 0.05. Additionally, 65% of the participants reported facing multiple challenges in maintaining aseptic techniques, including insufficient training, limited resources, and inadequate support. Conclusion In conclusion, the evaluation revealed that a significant proportion of participants felt that their unit lacked adequate training and resources for aseptic techniques. Many had observed colleagues not adhering to aseptic practices, and the participants faced multiple challenges in maintaining aseptic techniques, including insufficient training, limited resources, time constraints, and inadequate support.
Evaluation of an Autonomous Control Scheme for Interconnected DC Microgrids Using a Power Hardware-in-the-Loop Platform

DC microgrids (DCMGs), typically envisioned with high bandwidth communications, may well expand their application range by considering additional autonomous control strategies, especially to increase resiliency in contingency situation. These strategies are based on the droop control methods, enabling voltage regulation and proportional load sharing based only on local measurements. Control challenges arise when coordinating the output of multiple DCMGs, each composed of several distributed energy resources through bus-to-bus transactional converters. This paper proposes an autonomous control strategy for transactional converters when multiple DCMGs are connected through a common bus. This control strategy seeks to match the external bus voltage with the internal bus voltage, balancing power. Three case scenarios are considered: standalone operation of each DCMG, excess generation on one DCMG, and generation deficit in one DCMG. Results using Sandia National Laboratories’ Secure Scalable Microgrid Simulink library, and models developed in MATLAB are compared. These results demonstrated that the proposed control strategy supported the advantage of seamless operation with and without local generation-load mismatches and expanded the range of autonomous operation between DCMGs.
Student Attitudes Toward Digital Badges for Instructional Design Competency-Based Education

This case study examines the self-reported attitudes of graduate students in an online instructional design master’s program regarding its use of digital badges to track and record students’ required professional competencies. The study sought to evaluate student attitudes towards the program and its use of badges. All enrolled students, approximately 300, were asked to complete a course improvement survey that included the Attitudinal Learning Inventory which measured their perceptions of how their attitudes changed toward the use of digital badges for competency-based education and what aspect of the course most impacted their attitudes. 211 students responded to the course improvement survey. 14 students, ranging from those who had completed the program to those who had only completed a single semester were also interviewed to gather richer data detailing their positive and negative experiences with demonstrating competence through the digital badge process. Results indicated that the students had positive attitudes regarding the use of digital badges across all components of their attitudes-cognitive, affective, behavioral, and social. Participants noted how the badges helped their learning and motivation while also identifying aspects of the program that worked best for them and areas which could be improved. Implications are that digital badges for tracking competencies can improve learning and motivation, but the implementation benefits from significant planning and process revision.
To Flee or Not to Flee: How Age, Reproductive Phase, and Mate Presence Affect White Stork Flight Decisions

Simple Summary High levels of predation can reduce survival rates of young birds and affect overall population growth. Therefore, birds that are better adapted to avoid predators, such as through strategic nest positioning, camouflage, and loud alarm calls, have a greater chance of successfully fledging their young. This study examines how white storks adapt to potential human threats during their nesting season and shows the effects of factors such as age, reproductive stage, and presence of a mate on their nesting behavior. The results show that storks are able to adapt their defense strategies depending on the perceived value and level of threat to their current brood. In particular, during crucial breeding phases, storks tend to prolong their stay in the nest while accelerating their return, reflecting a delicate balance between immediate reproductive needs and future prospects. In addition, the influence of a mate leads to earlier departure from the nest, suggesting a possible sexual conflict and interplay between parental care priorities. These results provide a deeper understanding of the intricate decision-making mechanisms of white storks when faced with perceived threats during the breeding season. The study contributes to a more comprehensive understanding of avian behaviors in response to environmental challenges. Abstract Recognizing, assessing, and responding to threats is critical for survival in the wild. Birds, especially in their role as parents, must decide whether to flee or delay flight when threatened. This study examines how age, reproductive stage, and the presence of a mate influence flight initiation distance (FID) and nest recess duration in white storks. Analyzing the data with a generalized additive mixed model (GAMM), we found significant correlations between FID and age, reproductive stage, and presence of a mate. These results suggest that the trade-off between current and future reproduction shifts during critical breeding periods, such as incubation and nestling care. To increase breeding success, White Storks appear willing to take risks and extend their stay in the nest when offspring are most valuable and vulnerable. In the presence of a mate, individuals leave the nest earlier, suggesting possible sexual conflict over parental care. The duration of nest abandonment is consistent with FID, except for age. These results illustrate how parental age, brood value, vulnerability, and sexual dynamics influence white stork flight decisions in complex ways. Understanding these dynamics enriches our knowledge of bird behavior and adaptations to environmental challenges and highlights the complexity of parental decision making.
Time Series Data Mining: A Unifying View

Time series data are ubiquitous; large volumes of such data are routinely created in scientific, industrial, entertainment, medical and biological domains. Examples include ECG data, gait analysis, stock market quotes, machine health telemetry, search engine throughput volumes etc. VLDB has traditionally been home to much of the community's best research on time series, with three to eight papers on time series appearing in the conference each year. What do we want to do with such time series? Everything! Classification, clustering, joins, anomaly detection, motif discovery, similarity search, visualization, summarization, compression, segmentation, rule discovery etc. Rather than a deep dive in just one of these subtopics, in this tutorial I will show a surprisingly small set of high-level representations, definitions, distance measures and primitives can be combined to solve the first 90 to 99.9% of the problems listed above. The tutorial will be illustrated with numerous real-world examples created just for this tutorial, including examples from robotics, wearables, medical telemetry, astronomy, and (especially) animal behavior. Moreover, all sample datasets and code snippets will be released so that the tutorial attendees (and later, readers) can first reproduce the results demonstrated, before attempting similar analysis on their data.
Molecular interactions between the soilborne pathogenic fungus Macrophomina phaseolina and its host plants

Mentioned for the first time in an article 1971, the occurrence of the term “Macrophomina phaseolina” has experienced a steep increase in the scientific literature over the past 15 years. Concurrently, incidences of M. phaseolina-caused crop diseases have been getting more frequent. The high levels of diversity and plasticity observed for M. phasolina genomes along with a rich equipment of plant cell wall degrading enzymes, secondary metabolites and putative virulence effectors as well as the unusual longevity of microsclerotia, their asexual reproduction structures, make this pathogen very difficult to control and crop protection against it very challenging. During the past years several studies have emerged reporting on host defense measures against M. phaseolina, as well as mechanisms of pathogenicity employed by this fungal pathogen. While most of these studies have been performed in crop systems, such as soybean or sesame, recently interactions of M. phaseolina with the model plant Arabidopsis thaliana have been described. Collectively, results from various studies are hinting at a complex infection cycle of M. phaseolina, which exhibits an early biotrophic phase and switches to necrotrophy at later time points during the infection process. Consequently, responses of the hosts are complex and seem coordinated by multiple defense-associated phytohormones. However, at this point no robust and strong host defense mechanism against M. phaseolina has been described.
Green Accounting and Disclosure of Sustainability Report on Firm Values in Indonesia

The industry must deal with environmental issues by implementing green accounting and disclosure of sustainability reports. This study aimed to determine the effect of implementing green accounting and disclosure of sustainability reports on firm value. The research was conducted in Indonesia Manufacturing companies with an observation period of 2019-2021. The data analysis technique used is Multiple Linear Regression Analysis. The study results show that applying green accounting has a positive effect on firm value, and disclosure of sustainability reports has a negative effect on firm value. The application of green accounting can significantly increase the company’s value. However, the disclosure of the sustainability report shows a negative result because the company continues to improve its sustainability reports, but the increase is not in line with firm value.