Miracle-dz/UniFAR-FTUs huggingface dataset:
Apple cider vinegar vs. ethanol as an extraction solvent in the ultrasound-assisted extraction of elderberry fruits

<p>Traditional plant extraction methods commonly employ hazardous solvents that threaten human health. Considering these, the study sought to explore the efficacy of seven distinct types of apple cider vinegar (ACV) as an alternative solvent for isolating of polyphenols from dry elderberries as a raw material. In the pursuit of identifying the most suitable solvent, a conventional solid-liquid extraction (SLE) was executed, with a comparative assessment involving three different ethanol solvents (30%, 50%, and 70% ethanol solution, w/w). Subsequently, once the optimal solvent was determined, an ultrasound-assisted extraction (UAE) was carried out. The optimization process encompassed a range of sonication amplitudes (20-100%) and extraction durations spanning from 120 to 360 s. The extracts' characterization, including extraction yield (EY) and total phenolic content (TPC), was performed to ascertain the most favorable extraction parameters. The utilization of ACV in conjunction with a sonication amplitude of 100% and an extraction duration of 360 s yielded the highest TPC, amounting to 84.44 mg GAE/g dry extract (DE). In contrast, the lowest ethanol concentration (30%) produced the highest TPC, reaching 101.70 mg GAE/g DE when a sonication amplitude of 100% and an extraction time of 120 s were applied. </p>
The Place and Role of the Employer Brand in Building an Employee’s Career

The notion of career has been intensely debated in the literature, being an interdisciplinary topic. However, the challenges that organizations currently face are becoming much more numerous and different, as new gen­erations of employees have significantly different characteristics from those of employees from previous generations. Organisations, on the other hand, no longer aim to simply recruit employees; they aim to attract talent, and the image built on the market often decisively influences the recruitment process. However, what is the situation in the Romanian market, what role does it play, and how important is building an employer brand? Is it a decisive factor in the evolution of employees’ careers? This paper tries to answer these questions, placing them in a double context – through a theoretical approach, present­ing the opinions already formulated by researchers in the field, respectively, through an applied approach, studying through our research what the atti­tude of employees is towards this subject.
EFFECTIVENESS OF TRUNK PROPRIOCEPTIVE NEUROMUSCULAR FACILITATION TECHNIQUES AFTER STROKE: A METAANALYSIS

Aim: To find out the effectiveness of Trunk Proprioceptive Neuromuscular Facilitation Techniques to improve Trunk Control in stroke patients. Statistical analysis: For all studies we calculated the mean difference and pooled the standard deviation of the baselines and at next assessment. The relevant studies for our meta analysis were identified by manual searches from google scholar. Total number of participants was 75 in 4 studies. The age range was 43 to 78.1 yrs with the mean age of 60.55 yrs and the duration of stroke was 2.1 yrs. Results: A total of 4 trials were identified. Results were in favor of the intervention groups using PNF techniques. Trunk impairment assessed with the Trunk Impairment Scale (TIS) in 2 studies showed statistically significant results (P<0.05). Trunk Lateral Flexion Range of Motion (TLF ROM) and Tinetti Test (TT) showed statistically significant results (P<0.05) in the PNF training group. Conclusion: This meta-analysis shows that stroke survivors may benefit from trunk PNF technique during acute and sub-acute stages to improve trunk control and balance Thus, PNF technique should be considered in acute and sub-acute stroke rehabilitation. Key-words : Stroke, PNF pattern, trunk impairement scale, PASS scale
Perceived Safety Assessment of Interactive Motions in Human–Soft Robot Interaction

Soft robots, especially soft robotic hands, possess prominent potential for applications in close proximity and direct contact interaction with humans due to their softness and compliant nature. The safety perception of users during interactions with soft robots plays a crucial role in influencing trust, adaptability, and overall interaction outcomes in human–robot interaction (HRI). Although soft robots have been claimed to be safe for over a decade, research addressing the perceived safety of soft robots still needs to be undertaken. The current safety guidelines for rigid robots in HRI are unsuitable for soft robots. In this paper, we highlight the distinctive safety issues associated with soft robots and propose a framework for evaluating the perceived safety in human–soft robot interaction (HSRI). User experiments were conducted, employing a combination of quantitative and qualitative methods, to assess the perceived safety of 15 interactive motions executed by a soft humanoid robotic hand. We analyzed the characteristics of safe interactive motions, the primary factors influencing user safety assessments, and the impact of motion semantic clarity, user technical acceptance, and risk tolerance level on safety perception. Based on the analyzed characteristics, we summarize vital insights to provide valuable guidelines for designing safe, interactive motions in HSRI. The current results may pave the way for developing future soft machines that can safely interact with humans and their surroundings.
Investigating the Consequences of Mathematics Quizzes on Student’s Attendance and Success in Mathematics at Higher Learning Institutions. A Case of Institute of Accountancy Arusha (IAA)

Professionals with knowledge of science, technology, engineering, and mathematics are in greater demand worldwide. Many Institutes and University have reorganized education and encouraged training to improve workers' and students' math and science skills in order to successfully meet this criterion. The main objective of educational and training initiatives is to enhance participants' comprehension of math and science. Few things are known about the frequency and reasons behind students' absences from class, despite the fact that many college professors worry about student attendance. For this study, I examined class attendance, and I discovered that it declined from the start to the end of the semester. The purpose of the study was to determine the impact of quizzes on students' attendance and math performance in higher education institutions. There is a clear pattern showing a direct correlation between math achievement and student attendance. Students who want to excel in their mathematics course need to establish productive study habits. For a duration of 14 weeks, students were split into two treatment groups and given instructions. Treatment group A completed simple quizzes for ten minutes at each session. The Treatment group B did not have access to the quizzes. Participants were given the quizzes for fourteen (14) weeks and questionnaires with closed-ended questions in order to collect data. The outcomes of the respondents' mathematics quizzes were used in the study. Both descriptive and inferential statistics were used to analyze the collected data. Overall, the results showed that mathematics quiz had a statistically significant (0.05-two tailed) impact on students' academic performance in the subject. The effects of math quiz and math performance are strongly positively correlated. When all other variables are held constant. Instructors can eliminate the need for oral reviews of course progress and encourage students to review their lecture notes in advance. They can also support their efforts to help students transition from rote memorization to in depth understanding through class discussion. The study came to the conclusion that students who took quizzes frequently did better on the final examination and had higher grades in the mathematics course. I recommend that, this strategy/ method of teaching can also be applied for other modules or academic courses in order to prove students’ ability.
Dictionary Encoding Based on Tagged Sentential Decision Diagrams

Encoding a dictionary into another representation means that all the words can be stored in the dictionary in a more efficient way. In this way, we can complete common operations in dictionaries, such as (1) searching for a word in the dictionary, (2) adding some words to the dictionary, and (3) removing some words from the dictionary, in a shorter time. Binary decision diagrams (BDDs) are one of the most famous representations of such encoding and are widely popular due to their excellent properties. Recently, some people have proposed encoding dictionaries into BDDs and some variants of BDDs and showed that it is feasible. Hence, we further investigate the topic of encoding dictionaries into decision diagrams. Tagged sentential decision diagrams (TSDDs), as one of these variants based on structured decomposition, exploit both the standard and zero-suppressed trimming rules. In this paper, we first introduce how to use Boolean functions to represent dictionary files and then design an algorithm that encodes dictionaries into TSDDs with the help of tries and a decoding algorithm that restores TSDDs to dictionaries. We utilize the help of tries in the encoding algorithm, which greatly accelerates the encoding process. Considering that TSDDs integrate two trimming rules, we believe that using TSDDs to represent dictionaries would be more effective, and the experiments also show this.
Design of Efficient Approximate Adders for Error Analysis and Mitigation

Numerous compute-intensive algorithms are used for low-energy and high-speed circuits. Approximate computing is an alternative approach that can be employed in error-tolerant applications like audiovisual processing. For low-energy and high-speed circuits, numerous computationally expensive algorithms are used. An alternate strategy can be used in error-tolerant applications like audiovisual processing is approximate computing. In this study, lower logic complexity-based approximation full adder designs are proposed with the goal of reducing latency and energy consumption at the cost of introducing some errors at the output. The proposed and referenced approximate adders are designed in the Verilog HDL language. All adders have been simulated and synthesized by Xilinx Vivado software. The proposed designs show lower logic complexity, low power consumption, and improved error matrix calculations.
Manufacture and Testing of Pre-prototype HTS Twisted Stack Slotted-Core Cable

REBCO, the second generation of high-temperature superconducting (HTS) tape, has broad application prospects in nuclear fusion and high-field magnetic devices due to its excellent critical current density, superior mechanical properties, and electromagnetic characteristics. The REBCO-based six around one Cable-In-Conduit Conductor (CICC) for application in the toroidal field magnet of the China Fusion Engineering Test Reactor (CFETR) has been proposed. In this paper, two 1-m-long preliminary Twisted Stack Slotted-core Cables (TSSC) stacked by REBCO and copper tapes were fabricated. Subsequently, the critical current characteristics were tested at 77 K and self-field, and compared with the results simulated by the self-consistent model. The calculated values of the critical current are in high agreement with the experimental values, which proves the accuracy of the finite element model. The results of cross-section scanning after cutting the samples indicate that the gaps are uniformly filled with solder and the fabrication process is performed reliably. This study is of great importance for future applications of high-field fusion magnets.
Effectiveness of Postural Correction Versus Soft Tissue Techniques Along with Neural Mobilization in Management of Pain and Disability Associated with Cervicogenic Headache: A Comparative Study

Background: This study was developed to compare the effect of soft tissue technique with neural mobilization andpostural correction with neural mobilization on pain and disability among patients with cervicogenic headache.Purpose: The purpose of the study was to control the pain and impairment related to cervicogenic headache(CGH), this study compares the effectiveness of two interventions: postural correction and soft tissue techniquescombined with neural mobilization.Materials and Methods: A sum of 30 participants were recruited, based on the selection criteria from the abovementionedstudy setting. The procedure was explained, and a written grant was collected from all patients beforethe initiation of the procedure. The subjects were allocated randomly into 2 groups. The intervention group wasgiven the postural correction exercise along with the neural mobilization and another group was given soft tissuetechnique along with neural mobilization.Results: The study found that there is a positive impact of postural correction along with neural mobilization onpain reduction and absence of ability that has been connected with cervicogenic headache with a significant valueof < 0.0001. Conclusion: The study concluded that Postural correction exercises along with neural mobilization wereeffective in reducing the individual’s discomfort, enhancing the cervical range of motion, and reducing the levelof impairment. However, the Headache Impact Test-6 (HIT-6) and Northwick Park Neck Pain Questionnaire(NPAQ) outcome measures for both groups indicated a substantial change in the post-treatment analyses; GROUPA, which received postural correction along with neural mobilization, had more significant changes than the softtissue technique along with neural mobilization (GROUP B).
AN ARTISTIC REVIEW OF SELECTED MUSICAL WORKS BY INTERCULTURAL COMPOSERS

It is natural to make new music compositions as self-expression but as a strength of self-identity as a music composer. However, are there things that need to be taken into account if an intercultural approach is applied to create new works? References to previous composers’ works are very important in helping to develop the ideological direction of a composer’s thoughts. Therefore, this article is written to analyze and discuss a few selected music composers who use intercultural approaches in their musical language. In line with the qualitative design, this artistic review applies an interpretive content analysis approach to works from selected music composers. The results of the analysis and further discussion have given the view that intercultural composers create their music by (i) combining or adapting elements in their own cultures with external cultures, and (ii) applying compositional music techniques according to the composer’s musical genre.
Modelling of Micro-Doppler Effect in mm-Wave Antenna Due to Near-Field Insect Fly-By

This work studies the feasibility of using mm-Wave radio links for insect monitoring. It uses electromagnetic simulation to evaluate differences in antenna gain and reflection coefficient (S11) from micro-Doppler effect due to an insect passing in the antenna's near-field. The study is conducted for different frequencies in 10-40 GHz. It is demonstrated that an insect can be detected by characteristic periodic variation in both S11 and gain, which correspond to its wingbeat frequency. As the wingbeat frequency is correlated with insect's size, this work shows feasibility for a new type of biodiversity monitoring system that is integrated into mm-Wave communication links.
3D Scene Object Perception Algorithm Based on Computer Vision Technology Based on Multi-View

Traditional single-viewpoint algorithms have limitations in target perception in 3D scenes, while computer vision technology based on multi-viewpoints can provide more comprehensive and accurate target perception capabilities. This study proposes a multi-view computer vision technology based object perception algorithm for 3D scenes. In this paper, image data from multiple angles is used for target positioning and shape reconstruction, and the accuracy of target position and shape is improved by combining information from different angles. Synthesize information from multiple angles to obtain more comprehensive and richer target semantic information. Through experiments and evaluations on real 3D scene datasets, the algorithm in this paper achieves remarkable research results. After experimental testing, the recall rate of the algorithm in this paper ranges from 81% to 88%. Compared with traditional single-viewpoint algorithms, multi-viewpoint-based algorithms show higher accuracy and comprehensiveness in object localization, shape reconstruction and semantic understanding.
Interpreting the Interaction of Genotype with Environmental Factors in Barley Using Partial Least Squares Regression Model

Genotype by environment interaction (GEI) is a complex problem that complicates the barley selection and breeding process. The knowledge of the relationship between cereal phenology and climatic data is important for understanding GEI and the physiological pathways responsible for the interaction effect. The grain yield of twenty winter barley genotypes in six environments was observed. Factors influencing the variability were analyzed using a linear mixed model. The partial least squares regression (PLSR) model was applied to determine the most relevant environmental variables in certain stages of development that explained GEI effects. Biplot with environmental variables explained 43.7% of the GEI. The barley was generally the most sensitive to the environmental conditions (relative humidity, maximum temperature and its variation, sun hours, and precipitation) during the anthesis and filling stage (May) which caused GEI. Temperature variables did not show significance only in the vegetative phase. Different genotypes responded differently to environmental factors. Genotypes NS-525, NS-589, and J-103 were highlighted as widely adaptable, and Zaječar was a suitable and reliable location for yield testing. The GEI information presented in this paper can be useful in traditional plant breeding and future breeding programs through molecular research of crop developmental genes and examination of physiological processes in two-row barley.
HIGHLIGHTED TOPIC Physiology and Pathophysiology of Physical Inactivity Physical inactivity as the culprit of metabolic inflexibility: evidence from bed-rest studies

Audrey Bergouignan, Floriane Rudwill, Chantal Simon,* and Stéphane Blanc* Université de Strasbourg, Institut Pluridisciplinaire Hubert Curien, Département d’Ecologie, Physiologie et Ethologie, CNRS, UMR7178, Strasbourg, France; University of Colorado Anschutz Medical Campus, Department of Pediatrics, Centre for Human Nutrition, Aurora, Colorado; and INSERM U870/INRA 1235, Faculté de Médecine de Lyon Sud, Lyon, France
A Survey on Reconfigurable Intelligent Surface for Physical Layer Security of Next-Generation Wireless Communications

Unprecedented growth in wireless data traffic, and ever-increasing demand for highly secured, and low-latency wireless communication has motivated the research community to move towards sixth-generation (6G) technology, where networks can cater to the rising need for ubiquitous secure wireless connectivity. One of the promising technologies for 6G wireless communication is the reconfigurable intelligent surface (RIS) concept that is proposed to successfully deal with increasing security threats by smartly controlling the wireless channel conditions. This survey paper presents a detailed literature review on RIS-assisted physical layer security (PLS) for next-generation wireless communications. Firstly, we briefly discuss the PLS concept, its importance, the PLS performance metrics, and its applicability in different wireless networks. Next, we discuss the applications of RIS in the 6G scenario. Then, a detailed and systematic classification of the various RIS-assisted wireless system topologies exhibiting multiple scenarios, system models, channel fading models, performance metrics and objectives is done. The existing state-of-art approaches for PLS such as secret key generation (SKG), optimization algorithms, namely semidefinite relaxation-successive convex approximation (SDR-SCA) to optimize RIS coefficients, and optimal placement of RIS units are discussed for single-input single-output (SISO) case. For multiple-input single-output (MISO) case, PLS strategies such as inducing artificial noise (AN), optimization algorithms, alternating optimization (AO), machine learning (ML) and deep learning (DL), and reflect matrices are discussed. Similarly, for multiple-input multiple-output (MIMO) setup, block coordinate descent (BCD) and AN induction are some of the PLS methods used to analyze the secrecy. Lastly, we present some of the technical challenges and future directions based on the survey.
Prognostic significance of Wilms’ tumor gene 1 expression in children with B-cell precursor acute lymphoblastic leukemia

Introduction The prognostic role of Wilms’ tumor 1 (WT1) gene expression at diagnosis in children with B cell precursor acute lymphoblastic leukemia (BCP-ALL) is still controversial. Methods We detected the WT1 transcript levels of 533 de novo pediatric BCP-ALL patients using TaqMan-based real-time quantitative PCR and analyzed their clinical features. Results The WT1 transcript levels differed among the distinct molecularly defined groups, with the highest levels in the KMT2A rearrangements (KMT2A-r) group. According to the results of the X-tile software, all patients were divided into two groups: WT1/ABL ≥ 0.24% (group A) and <0.24% (group B). The proportions of patients whose age was ≥10 years old, with immunophenotype of Pro-B, belonging in high-risk group, or with minimal residual disease (MRD) ≥ 0.01% at week 12 were significantly higher in group A than in group B. In the B-other group, WT1 overexpression was an independent risk factor of overall survival (OS) rate (P = 0.042), and higher MRD ≥ 0.01% at week 12 was associated with lower OS rate (P<0.001) and event-free survival rate (P<0.001). Moreover, the subgroup analysis revealed that, in patients with initial WBC<50 × 109/L or MRD<0.1% at day 33 or MRD<0.01% at week 12 or in the standard-risk group, WT1 overexpression led to a poorer outcome in comparison with those with WT1 downexpression (P<0.05). Discussion Therefore, pediatric BCP-ALL with WT1 overexpression had unique clinico-pathological characteristics and poor treatment response. In B-other patients, WT1 overexpression at diagnosis predicted an inferior prognosis. The WT1 gene may serve as a biomarker for monitoring residual disease in the B-other population, especially in children in the standard-risk group.