Miracle-dz/UniFAR-FTUs huggingface dataset:
Elementary teachers’ knowledge, attitude, and professional development needs concerning gifted students and their educational needs in the Netherlands

ABSTRACT The present study aimed to update the state of knowledge and attitudes of teachers concerning gifted students and their educational needs in theNetherlands. Additionally, this study aimed to gain insights into teachers’ professional development (PD) needs regarding giftedness, taking teachers’ knowledge and attitudes concerning this topic into account. Aquestionnaire was filled out by 116 teachers from thirteen elementary schools in the Netherlands. Teachers seemed to have little knowledgeabout how to identify and support gifted students. Their overall attitude was positive, however, teachers held negative or ambivalent attitudestowards ability grouping and acceleration. All teachers were interested in receiving PD, although teachers who had the most knowledge and most positive attitude were most interested. Teachers reported the most need for PD activities that do not require too much time and take place at their workplace. However, teachers’ knowledge and attitude related positively to PD activities that require a greater time investment. The findings of the present study underline the importance of PD for teachers concerning giftedness. Future research is needed to effectively design and incorporate PD activities for teachers which meet their knowledge,attitudes, and PD needs. This eventually contributes to better education for gifted students.
Jurassic stratigraphy of the section Staro selo, Pernik District, Southwestern Bulgaria

The onset of the Jurassic sedimentation in the region of Pernik (southwestern Bulgaria) is at the end of Bajocian with deposition of sandstones (Lyalintsi Member of Gradets Fm.) and continuing during the Bathonian with bioclastic limestones (Polaten Fm.). The section Staro selo is one of the most complete Jurassic sections in Southwest Bulgaria. It is studied from several points of view: lithofacial, depositional processes, biostratigraphic and sequence stratigraphic. In Bajocian-Bathonian interval four 3rd order depositional sequences are individualized: Bj 5, Bat 0, Bat 1 and Bat 2. After a break of sedimentation (Callovian-Oxfordian), the limestones of Gintsi (Lower Kimmeridgian) and Drugan (Middle Kimmeridgian) Formation were deposited in which 3 depositional sequences were recognized (Kim 2-Kim 4). Nineteen depositional sequences of 3rd order are individualized (Kim 5-Ti 1.1-Ti 1.13, Ti 2, Ti 3.1-Ti3.2, Ti 4, Ti 5) in the sediments of Neshkovtsi Formation (Upper Kimmeridgian) and in the Bobovo Member of Kostel Formation (Uppermost Kimmeridgian – Upper Tithonian in the studied area). The recognition of the depositional sequences is based chiefly on the geometry and the superposition of the calcareous and siliciclastic sediments. The divided depositional sequences are compared to those of Western European scheme of Hardenbol et al. (1998). Within the carbonate part of the succession they are of the same number and in the siliciclastic part they are more numerous.
THE EXAMINATION ACCORDING TO THE POSITION OF PLAYERS OF AEROBIC AND ANAEROBIC CAPACITY RELATION IN PROFESSIONAL FOOTBALL PLAYERS

The aim of this research is to examine the comparison of the aerobic and anaerobic capacity relationship according to positions of the professional football players (FP). The participants in this study were male FP (n = 32, M age = 22.19, SD = 2.33, M height = 178 cm, SD = 0.04, M weight = 73.05 kg, SD = 7.39, M bodyfat % = 9.01, SD = 3.43, M bodymasindex = 23.25, SD = 2.23,) who professional trained regularly. They participated WAnT and shuttle run tests in order to measure anaerobic power (AnP) ( M AnP = 14.31 watt/kg, SD = 1.57), anaerobic capacity (AnC) ( M AnC = 7.5 watt/kg, SD = 0.4), maximal heart rate (HR max ) ( M HRmax = 179 beat per minute, SD = 16.8) and maximal oxygen consumpt ( VO2 max ) ( M VO’max = 51.8 ml/kg/min, SD = 4.25). According the positions (defence – midfield and forward) of the FP, there isn't a statistical difference among HR max , VO 2max , AnP and AnC (p>0.05). There is no longer the concept of classical position in today's football so the features specific to classical position change. All of the footballers perform in both attack and defense. In accordance with the coach tactics, midfielder and striker blocks are constantly moving back and forth as the field is shrinks and so each player is about the same distances. Article visualizations:
Intrusion Detection in Cyber Space Using Machine Learning Based Algorithm

Now a day, the fast growth of Internet access and the adoption of smart digital technology has resulted in new cybercrime strategies targeting regular people and businesses. The Web and social activities take precedence in most aspects of their lives, but also poses significant social risks. Static and dynamic analysis are inefficient in detecting unknown malware in standard threat detection approaches. Virus makers create new malware by modifying current malware using polymorphic and evasion tactics in order to fool. Furthermore, by utilizing selection of features techniques to identify more important features and minimizing amount of the data, these Machine Learning models' accuracy can be increased, resulting in fewer calculations. In the previous study traditional machine learning approaches were used to detect Malware. We employed Cuckoo sandbox, a malware detection and analysis system for detection and categorization, in this study we provide a Machine Learning based Intrusion analysis system to calculate exact and on spot Intrusion classification. We integrated feature extraction and component selection from the file, as well as selecting the much higher quality, resulting in exceptional accuracy and cheaper computing costs. For reliable identification and fine-grained categorization, we use a variety of machine learning algorithms. Our experimental results show that we achieved good, classified accuracy when compared to state-of-the-art approaches. We employed machine learning techniques such as K-Nearest Neighbor, Random Forest, Support Vector Machine, and Decision Tree. Using the Random Forest classifier on 108 features, we attained the greatest accuracy of 99.37 percent. We also discovered that Random Forest outscored all other classic machine learning techniques during the procedure. These findings can aid in the exact and accurate identification of Malware families.
Image-Based Artificial Intelligence Technology for Diagnosing Middle Ear Diseases: A Systematic Review

Otolaryngological diagnoses, such as otitis media, are traditionally performed using endoscopy, wherein diagnostic accuracy can be subjective and vary among clinicians. The integration of objective tools, like artificial intelligence (AI), could potentially improve the diagnostic process by minimizing the influence of subjective biases and variability. We systematically reviewed the AI techniques using medical imaging in otolaryngology. Relevant studies related to AI-assisted otitis media diagnosis were extracted from five databases: Google Scholar, PubMed, Medline, Embase, and IEEE Xplore, without date restrictions. Publications that did not relate to AI and otitis media diagnosis or did not utilize medical imaging were excluded. Of the 32identified studies, 26 used tympanic membrane images for classification, achieving an average diagnosis accuracy of 86% (range: 48.7–99.16%). Another three studies employed both segmentation and classification techniques, reporting an average diagnosis accuracy of 90.8% (range: 88.06–93.9%). These findings suggest that AI technologies hold promise for improving otitis media diagnosis, offering benefits for telemedicine and primary care settings due to their high diagnostic accuracy. However, to ensure patient safety and optimal outcomes, further improvements in diagnostic performance are necessary.
Linseed oil attenuates fatty liver disease in mice fed a high-carbohydrate diet

The impact of linseed oil as a lipid source on liver disease induced by a high-carbohydrate diet (HCD) was evaluated. Adult male Swiss mice received an HCD containing carbohydrates (72.1%), proteins (14.2%), and lipids (4.0%). The Control HCD group (HCD-C) received an HCD containing lard (3.6%) and soybean oil (0.4%) as lipid sources. The L10 and L100 groups received an HCD with 10 and 100% linseed oil as lipid sources, respectively. A group of mice were euthanized before receiving the diets (day 0) and the remaining groups after 56 days of receiving the diets (HCD-C, L10, and L-100 groups). Morphological and histopathological analyses, as well as collagen deposition were evaluated. Perivenous hepatocytes (PVH) of the HCD-C group were larger (P<0.05) than periportal hepatocytes (PPH) in the median lobe (ML) and left lobe (LL). There was a greater (P<0.05) deposition of type I collagen in PPH (vs PVH) and in the ML (vs LL). The ML exhibited a higher proportion of apoptotic bodies, inflammatory infiltrate, and hepatocellular ballooning. All these alterations (hepatocyte size, deposition of type I collagen, apoptotic bodies, inflammatory infiltrate, and hepatocellular ballooning) induced by HCD were prevented or attenuated in L10 and L100 groups. Another indicator of the beneficial effects of linseed oil was the lower (P<0.05) number of binucleated hepatocytes (HCD-C vs L10 or L100 group). In general, the L100 group had greater effects than the L10 group. In conclusion, linseed oil impedes or reduces the liver injury progression induced by an HCD.
Influence of different water temperature on intensive growth performance of Nile tilapia (Oreochromis niloticus, Linnaeus, 1758) in a recirculating aquaculture system.

Nile tilapia (Oreochromis niloticus, Linnaeus, 1758) with average weight of 33,5±1,0 g were used to study the effect of different temperatures on growth performance, survival rate and biochimical parameters from tissue. They were stocked in 12 rearing units at 20, 24,30 and 28oC (control) water temperature for 30 days. Diet of 41% protein was offered as feed, 3 times daily. Growth measurements of tilapia were recorded on beginning and at the end of the experiment. Results showed that growth performance for Nile tilapia was not significantly (p>0.05) descreased at 20 and 24oC. Survival rate was the same for the treatments. The feed conversio ratio (FCR) for fish increased with the temperature, but the difference between the high temperature (28 and 30oC) was not significant (p>0.05). Results showed that the termic range 20 – 30oC was suitable for intensive culture of Nile tilapia regarding the optimum growth performance and survival rate.
Reconstruction of past changes in ocean salinity - a compound specific stable hydrogen isotope approach

The extent of the general warming related to increasing anthropogenic CO2 emission and its implications for the global climate system are currently under heavy debate. In particular the extrapolation of long term climatic trends relies on complex climate models for the interaction between the atmosphere, the oceans and the land surface. In turn these models require validation based on continuous time series of observational data. However, instrumental based data records only extend as far back as approximately 150 years and thus make the validation of long-term modelling experiments difficult. To obtain information on past climate beyond the instrumental period, so-called paleoceanographic proxies are used. Two of the most targeted paleoceanographic parameters are the sea surface temperature (SST) and sea surface salinity, which determine water density. While past ocean temperatures can be reconstructed relatively accurately from various independent methods, the accurate reconstruction of past ocean salinity has proven to be more difficult. A promising new method for the reconstruction of past ocean salinity has been suggested to come from the hydrogen isotope composition of long chain alkenones (δDalkenone) derived from marine haptophyte algae. Culture studies have shown a strong correlation between hydrogen isotope fractionation and salinity, with decreasing fractionation with increasing salinity. In order to test the applicability of the δDalkenone as a salinity proxy, this thesis presents studies on sedimentary records obtained from various open ocean settings including the greater Agulhas System south of the African continent, the Eastern Tropical Atlantic and the Atlantic sector of the Southern Ocean, as well as coastal ocean margin settings in the Mozambique Channel and offshore Southeast Australia.
Inter-Rater Agreement on Cincinnati Prehospital Stroke Scale (CPSS) and Prehospital Acute Stroke Severity Scale (PASS) Between EMS Providers, Neurology Residents and Neurology Consultants

Objective To examine the agreement between emergency medical service (EMS) providers, neurology residents and neurology consultants, using the Cincinnati Prehospital Stroke Scale (CPSS) and the Prehospital Acute Stroke Severity Scale (PASS). Methods Patients with stroke, transient ischemic attack (TIA) and stroke mimic were included upon primary stroke admission or during rehabilitation. Patients were included from June 2018 to September 2019. Video recordings were made of patients being assessed with CPSS and PASS. The recordings were later presented to the healthcare professionals. To determine relative and absolute interrater reliability in terms of inter-rater agreement (IRA), we used generalisability theory. Group-level agreement was determined against a gold standard and presented as an area under the curve (AUC). The gold standard was a consensus agreement between two neurology consultants. Results A total of 120 patient recordings were assessed by 30 EMS providers, two neurology residents and two neurology consultants. Using the CPSS and the PASS, a total of 1,800 assessments were completed by EMS providers, 240 by neurology residents and 240 by neurology consultants. The overall relative and absolute IRA for all items combined from the CPSS and PASS score was 0.84 (95% CI 0.80; 0.87) and 0.81 (95% CI 0.77; 0.85), respectively. Using the CPSS, the agreement on a group-level resulted in AUCs of 0.83 (95% CI 0.78; 0.88) for the EMS providers and 0.86 (95% CI 0.82; 0.90) for the neurology residents when compared with the gold standard. Using the PASS, the AUC was 0.82 (95% CI 0.77; 0.87) for the EMS providers and 0.88 (95% CI 0.84; 0.93) for the neurology residents. Conclusion The high relative and absolute inter-rater agreement underpins a high robustness/generalisability of the two scales. A high agreement exists across individual raters and different groups of healthcare professionals supporting widespread applicability of the stroke scales.
A Subthreshold Operation Series-Parallel Charge Pump Incorporating Dynamic Source-Fed Oscillator for Wide-Input-Voltage Energy Harvesting Application

This work proposes a CMOS reconfigurable charge pump (CP) for a low-voltage energy harvesting system. It utilizes the low effective resistance from the parallel CP to enhance its power conversion efficiency (PCE). The CP exhibits an adaptive configuration with different stages depending on the input voltage, changing its voltage conversion ratio (VCR) to limit the output voltage under 1.8-V. Additionally, this work develops a novel dynamic source-fed oscillator that modulates the oscillating frequency by utilizing a dynamic source for the ring-voltage controlled oscillator (RVCO). The independent source from the RVCO and the clock-generating units from the proposed technique permit the implementation of frequency modulation without affecting the clock amplitude. Fabricated in 65-nm CMOS, the proposed prototype measures 62% peak PCE with an input voltage range of 0.26-V to 0.64-V.
Konsistensi Pemahaman Siswa SMA terhadap Konsep Hukum Newton untuk Representasi Berbeda

Abstrak - Penelitian ini bertujuan untuk menganalisis tingkat konsistensi representasi pada siswa SMA Negeri 5 Palu terhadap konsep hukum Newton. Subjek penelitian ini adalah siswa kelas x semester genap SMA Negeri 5 Palu yang terdiri dari 27 siswa. Tes terdiri dari 3 teori dasar hukum Newton yaitu hukum I Newton , hukum II Newton dan hukum III Newton, tiap-tiap hukum terbagi atas 2 tema berbeda dan setiap tema dibuat 3 soal dengan representasi berbeda yaitu representasi verbal, grafik dan diagram sehingga jumlah soal keseluruhan adalah 18 butir soal. Data penelitian dianalisis melalui pendekatan deskriptif kualitatif. Skor hasil tes kemudian dikelompokkan menjadi 3 kategori yaitu kategori tinggi, sedang, dan rendah. Masing-masing dari kategori, diambil 2 siswa perwakilan untuk diwawancara guna menggali informasi yang lebih mendalam. Hasil penelitian menunjukkan bahwa tingkat konsistensi pemahaman siswa menghasilkan sebagian besar siswa tidak konsisten dalam mengerjakan soal multirepresentasi. Untuk siswa dengan kategori tinggi hanya mampu berada pada kategori kurang konsisten. Sedangkan untuk kategori sedang dan rendah berada pada kategori tidak konsisten. Kata Kunci: konsistensi, pemahaman konsep, representasi, hukum newton.
Phenotypic and genotypic antimicrobial resistance correlation and plasmid characterization in Salmonella spp. isolates from Italy reveal high heterogeneity among serovars

Introduction The spread of antimicrobial resistance among zoonotic pathogens such as Salmonella is a serious health threat, and mobile genetic elements (MGEs) carrying antimicrobial resistance genes favor this phenomenon. In this work, phenotypic antimicrobial resistance to commonly used antimicrobials was studied, and the antimicrobial resistance genes (ARGs) and plasmid replicons associated with the resistances were determined. Methods Eighty-eight Italian Salmonella enterica strains (n = 88), from human, animal and food sources, isolated between 2009 and 2019, were selected to represent serovars with different frequency of isolation in human cases of salmonellosis. The presence of plasmid replicons was also investigated. Results and discussion Resistances to sulphonamides (23.9%), ciprofloxacin (27.3%), ampicillin (29.5%), and tetracycline (32.9%) were the most found phenotypes. ARGs identified in the genomes correlated with the phenotypical results, with blaTEM-1B, sul1, sul2, tetA and tetB genes being frequently identified. Point mutations in gyrA and parC genes were also detected, in addition to many different aminoglycoside-modifying genes, which, however, did not cause phenotypic resistance to aminoglycosides. Many genomes presented plasmid replicons, however, only a limited number of ARGs were predicted to be located on the contigs carrying these replicons. As an expectation of this, multiple ARGs were identified on contigs with IncQ1 plasmid replicon in strains belonging to the monophasic variant of Salmonella Typhimurium. In general, high variability in ARGs and plasmid replicons content was observed among isolates, highlighting a high level of heterogeneity in Salmonella enterica. Irrespective of the serovar. , many of the ARGs, especially those associated with critically and highly important antimicrobials for human medicine were located together with plasmid replicons, thus favoring their successful dissemination.
Factors Affecting Faculty Members’ Readiness to Integrate Artificial Intelligence into Their Teaching Practices: A Study from the Saudi Higher Education Context

Artificial intelligence (AI) has been around for about three decades. However, use of AI in pedagogy on a large scale and examination of its impact on teaching practices in higher education are under-researched topics. This study examined the readiness of 465 faculty members at King Faisal University in Saudi Arabia to integrate AI into their teaching practices as well as the factors influencing that readiness. A 46-item online survey was used to collect data. The results show that the respondents demonstrated an average readiness to integrate AI into their teaching (M = 3.40, SD = 0.841). Statistically significant correlations were found at the 0.01 significance level between faculty members’ readiness to incorporate AI into teaching and the perceived benefit of AI in higher education and teaching; attitudes towards AI; behavioral intentions to use AI; and facilitative conditions for AI use. Significant differences were found at the 0.05 significance level regarding faculty members’ readiness to integrate AI into their teaching according to gender, age, and teaching experience. However, no statistically significant differences were found at the 0.05 significance level in terms of faculty members’ readiness to integrate AI into their teaching according to college type or academic rank. Thus, it is recommended that faculty members’ readiness to integrate AI and their knowledge of and skills concerning AI and how to use it to improve educational institution outcomes be enhanced.
A Deep Learning Method: QoS-Aware Joint AP Clustering and Beamforming Design for Cell-Free Networks

Joint access point (AP) clustering and beamforming design is an effective way to improve system performance and reduce signaling overhead for cell-free networks. However, conventional optimization methods usually solved the joint AP clustering and beamforming design by separately handling them, at the cost of high computing resources, especially when quality of service (QoS) constraint is also considered. To this end, this paper proposes a low-complexity unsupervised deep learning method to jointly optimize AP clustering and beamforming design, called as joint clustering and beamforming network (JcbNet). The JcbNet also designs a neural network to handle the QoS constraint to reduce the hyperparameters of loss function, and it introduces a learnable safety distance parameter in the loss function to reduce the violation rate of QoS constraint. In addition, the JcbNet is scalable since the dimensions of parameters and output beamforming vary with the dimension of input channel state information (CSI). The experimental results show that the JcbNet is low-complexity, and achieves a higher sum rate under a smaller number of AP clustering compared to traditional and deep learning algorithms such as weighted minimum mean square error (WMMSE), sparse WMMSE (S-WMMSE) and convolutional neural network (CNN).
The structural and operational complementarity: Grade nine learners’ pitfalls and gains of simplifying algebraic expressions

This study focused on the investigation of the structural and operational complementarity in the simplification of algebraic expressions. The dual nature of mathematical conceptions is the theoretical framework that underpin this study. Qualitative content analysis was employed as a method and research design to investigate the complementarity between the operational and structural learners’ conceptions of the simplification. The findings revealed that learners’ undeveloped and fragmented structures of algebra caused the inability to simplify expressions. Ironically, for the very few learners who managed to simplify expressions, used skills and knowledge of the previous grade. Irrespective of this, the complementarity of learners’ conceptions of systems and components is undoubtfully key to their success during the simplification of expressions. This study recommends teaching and learning of algebra should address the complementarity of the operational and structural notions.