Miracle-dz/UniFAR-FTUs huggingface dataset:
COMPACT CPW 4X4 MIMO ANTENNA FOR WI-FI 6 (IEEE802.11.AX) AND 5G(NR77/NR78/NR79) COMMUNICATIONS

This research proposes a compact 4x4 MIMO coplanar waveguide antenna for 5G NR and Wi-Fi 6 applications. The antenna has a size of 34x32x1.6 mm and operates in the 4.2-7 GHz band. By cutting slots on the ground and radiator, the mutual coupling is reduced to less than -15 dB between adjacent and opposite elements and less than -25 dB between diagonal elements. The antenna achieves good measured gains (3-6 dBi) and efficiency (60%-80%). The proposed antenna is suitable for high-performance wireless communication systems that require a small and low-cost MIMO antenna. ABSTRAK: Kajian ini mencadangkan antena pandu gelombang yang kompak 4x4 MIMO koplanar bagi aplikasi 5G NR dan Wi-Fi6. Antena ini mempunyai saiz 34x32x1.6 mm dan beroperasi dalam kelompok gelombang 4.2-7 GHz. Dengan memotong slot pada tanah dan radiator, mutual coupling dikurangkan sebanyak -15 dB antara adjasen dan elemen bertentangan dan kurang daripada -25 dB antara elemen diagonal. Antena ini mencapai ukuran terbaik pada gain (3-6 dBi) dan kecekapan (60%-80%). Antena yang dicadangkan ini sesuai bagi sistem komunikasi tanpa wayar berprestasi tinggi yang memerlukan antena kecil dan murah seperti antena MIMO.
Humorous advertisement categories

Humour is a prevalent strategy in advertising, but research findings are contradictory regarding its effectiveness. A potential resolution of the contradictory findings could be to create a category system distinguishing between the basic types of humorous advertisements, which could systematically be used in future research. Several classifications have been reported and some typologies have been suggested, but none is based on the audience’s representations. Our aim was to identify the basic types of humorous advertisements with an approach that considers both the previous typologies and the non-experts’ representations. In the present study, 18 humorous advertisements were assessed based on a questionnaire study with 13 questions and 246 adult participants. Based on the cluster analyses of the empirical data, three basic types of humorous advertisements were identified: taboo-breaking, exaggeration, and cute or sentimental humour. Eight items were differentiated most clearly among the humorous advertisement types. Both the humorous advertisement categories and the applied items are worth consideration in further studies. Conscious use of the identified categories in future research could help to develop a more comprehensive model of humorous advertising effects.
Improving Creative Thinking Skills through Integration of Problem-Based Learning with STEAM In Environmental Pollution Material

The 21st century demands today's students to face increasingly complex life problems and a globally rigorous work environment. A learning model that can facilitate learners in developing their creative thinking skills is necessary. The objective of this research is to determine the influence of PBL-STEAM integration on learners' creative thinking abilities in the topic of environmental pollution. This type of research is quantitative with quasi-experimental research methods. The research sample consisted of 58 learners, with each class consisting of 29 learners selected through simple random sampling. Based on hypothesis testing using independent t-test at α = 0.05, the research findings showed a significance value of 0.00, this suggests that the PBL-STEAM learning model has an effect on learners' creative thinking in the topic of environmental pollution. The influence of the PBL-STEAM model on learners' creative thinking abilities can be analyzed based on the syntax of learning within the PBL-STEAM model. The results of this research imply that the PBL-STEAM learning model can be employed as a substitute for a model that enhances students' creative thinking abilities in the topic of environmental pollution
Functional Training Has the Potential to Reduce Fat Mass and Increase Growth Hormone in Overweight Women

This study aims to analyze the effects of fungtional training on fat mass and growth hormone in overweight individuals. This type of research is experimental research. Research subjects were selected using a purposive sampling technique, then the subjects were divided into 2 groups, namely group (K1) with low-intensity fungtional training and group (K2) with medium intensity fungtional training. A total of 30 women with an average age of 21 years and overweight participated in this study. The inclusion criteria in this study were female gender, BMI ranging from 25 kg/m2 to 30 kg/m2, and not having metabolic disease or heart problems. Exclusion criteria in this study were subjects under 20 years of age. Data was taken from the pre-test and post-test by taking blood before and after the intervention was taken by fasting at night and taking blood in the morning after fasting. Fat mass measurements were carried out using the Body Fat Monitor tool. Next, the blood samples were analyzed in the laboratory using the ELISA method with the Human GH ELISA kit catalog number E1030Hu. After the data was obtained statistical analysis in this study used the IBM SPSS version 27 application, a descriptive test was performed to obtain the mean and standard deviation. Furthermore, the normality test was carried out using the Shapiro-Wilk method, if the data were normally distributed the different test was carried out using the paired t-test, but if the data was not normally distributed, the difference was carried out using the Wilcoxon signed rank test. The results of this study report that fungtional training carried out at low and moderate intensity is able to increase growth hormone and reduce fat mass in overweight women. We recommend that fungtional training be applied daily to reduce fat mass and maintain an ideal body. Keywords: Functional training, exercise, growth hormone, fat mass
POWER OF ALIGNMENT: EXPLORING THE EFFECT OF FACE ALIGNMENT ON ASD DIAGNOSIS USING FACIAL IMAGES

Autism Spectrum Disorder (ASD) is a developmental disorder that impacts social communication and conduct. ASD lacks standard treatment protocols or medication, thus early identification and proper intervention are the most effective procedures to treat this disorder. Artificial intelligence could be a very effective tool to be used in ASD diagnosis as this is free from human bias. This research examines the effect of face alignment for the early diagnosis of Autism Spectrum Disorder (ASD) using facial images with the possibility that face alignment can improve the prediction accuracy of deep learning algorithms. This work uses the SOTA deep learning-based face alignment algorithm MTCNN to preprocess the raw data. In addition, the impacts of facial alignment on ASD diagnosis using facial images are investigated using state-of-the-art CNN backbones such as ResNet50, Xception, and MobileNet. ResNet50V2 achieves the maximum prediction accuracy of 93.97% and AUC of 96.33% with the alignment of training samples, which is a substantial improvement over previous research. This research paves the way for a data-centric approach that can be applied to medical datasets in order to improve the efficacy of deep neural network algorithms used to develop smart medical devices for the benefit of mankind. ABSTRAK: Gangguan Spektrum Autisme (ASD) adalah gangguan perkembangan yang memberi kesan kepada komunikasi dan tingkah laku sosial. Kelemahan dalam rawatan ASD adalah ianya tidak mempunyai protokol rawatan standard atau ubat. Oleh itu pengenalan awal dan campur tangan betul merupakan prosedur paling berkesan bagi merawat gangguan ini. Kecerdasan buatan boleh menjadi alat berkesan bagi diagnosis ASD kerana bebas campur tangan manusia. Penyelidikan ini mengkaji kesan penjajaran muka bagi diagnosis awal ASD menggunakan imej muka dengan kebarangkalian penjajaran muka dapat meningkatkan ketepatan ramalan algoritma pembelajaran mendalam. Kajian ini menggunakan algoritma penjajaran muka MTCNN berasaskan pembelajaran mendalam SOTA bagi pra-proses data mentah. Selain itu, kesan penjajaran muka pada diagnosis ASD menggunakan imej muka disiasat menggunakan CNN terkini seperti ResNet50, Xception dan MobileNet. ResNet50V2 mencapai ketepatan ramalan maksimum sebanyak 93.97% dan AUC 96.33% dengan sampel penjajaran latihan, yang merupakan peningkatan ketara berbanding penyelidikan terdahulu. Kajian ini membuka jalan bagi pendekatan data berpusat yang boleh digunakan pada set data perubatan bagi meningkatkan keberkesanan algoritma rangkaian saraf mendalam dan membangunkan peranti perubatan pintar bermanfaat untuk manusia.
Acquired Versus Learned Systems in Second Language Acquisition: A Review of Studies Based on Krashen’s Hypothesis

This research aimed to explore the contribution of Krashen’s learned-acquisition hypothesis within the context of second language education. Due to a lack of empirical research exploring teaching methods specifically founded upon the learned and acquisition systems of the said hypothesis, a contingent approach was taken whereby the learned system was deemed congruent with teacher-centred learning and the acquisition system was reflective of student-centred learning due to the conscious and subconscious components, respectively. This research adopted a secondary methodological approach to permit the design and completion of a literature review, which was needed to collectively evaluate original (primary) evidence sources regarding evidence for or against Krashen’s theory of second language acquisition and an acquisition-learning distinction. The findings of the research showed that student-centred learning offers varied advantages over teacher-centred learning in terms of outcomes of value within second language education. Moreover, the findings showed that student-centred learning was associated with meaningful and statistically significant improvements in students’ affective wellbeing and academic performance within second language education. Such findings were observed across child and young adult student groups and thus, show the dynamic utility of student-orientated learning for enhancing education quality and related outcomes.
Geochemical characteristics and tectonic settings of Carboniferous volcanic rocks in Junggar basin

Territorial volcanic formation develop in Carboniferous period in Junggar basin.The volcanic rocks mainly composed of intermediate-basic basalts and basaltic andesites,including a few acidic rhyolites.They belong to calc-alkalic series.Volcanic rock samples have relatively high alkali(Na_2O+K_2O=2.99%-8.07%),TiO_2(0.30%-2.57%) contents,medium rare earth element contents and relatively low K_2O(0.13%-3.29%) contents.Chondrite normalized REE patterns shows the characteristic of LREE enrichment((La/Yb) _N = 2.47-7.45) and differentiation,with weak Eu anomalies(δEu = 0.543-1.088) and Ce anomalies(δCe =0.787-0.987). These samples are enriched in LILE but relatively depleted in HFSE(Nb,Ta),and have high(Rb/Yb)_N (1). These characteristics,along with element correlation diagram,indicate that the Carboniferous volcanic rocks in Junggar basin are certain differential production of primitive magma,mainly generated in intra-plate continental setting,with island arc environments partially.These volcanic rocks are from extensional setting of post-collisional period.Their island-arc characteristics are inherited from pre-collisional arc component.
Analysis of Gender Dimorphism and Assessment of Racial Variation Through Odontometric Technique: A Cross-Sectional Study

Background: When conducting a forensic investigation, one of the most important steps is establishing the biological profile of a victim who cannot be positively recognized or is just a skeleton. It has been shown that, among the other clinical indicators, the diameters of dental crowns are a good and dependable source for determining gender in a particular population sample. However, the literature is sparse regarding their assessment as a viable marker for the determination of a particular race. In addition, the need for population-specific data has also been advocated while determining gender dimorphism based on tooth size. Aim and objectives: To study the bisexual variation in the permanent dentition of individuals from three different sets of populations: Arabian, South Asian, and East Asian. The other objective is to explore the role of this odontometric analysis in predicting the racial identity of the subjects belonging to the aforementioned population. Methodology: The research was conducted at the College of Dentistry, AlJouf University in Sakaka. Measurements of mesiodistal and buccolingual (BL) distances were taken using a digital vernier caliper on a total of 75 pairs of research models or casts. Statistical tests were run on the information gathered. Results: Of the 75 casts, 38 (50.7%) were of male and 37 (49.3%) were of female. Our analysis showed between genders, a significant difference in maxillary central incisor (P = 0.001), first premolar (P = 0.01), and first molar (P = 0.02) while for a mandibular arch, a significant difference was noted for incisors (P = 0.002) with greater tooth dimension in male than in the female. Concerning the BL dimensions, only the mandibular canine showed a significant difference between males and females (P = 0.001). Comparisons of the crown dimensions between population groups showed that the Arabian population consistently exhibits larger tooth dimensions than the other two populations in both arches. Conclusion: A few crown dimensions can be used as an adjunctive tool for the identification of the gender and race of an individual.
Initial Populations with a Few Heuristic Solutions Significantly Improve Evolutionary Multi-Objective Combinatorial Optimization

Population initialization is a crucial and essential step in evolutionary multi-objective optimization (EMO) algorithms. The quality of the generated initial population can significantly affect the performance of an EMO algorithm. However, few studies have focused on designing a generalized initialization method to improve the performance of EMO algorithms in solving multi-objective combinatorial optimization (MOCO) problems. Most of the existing advanced initialization methods involve complex techniques tailored to the specific characteristics of the problems to be solved. In this paper, we propose a general and effective framework of population initialization for EMO algorithms, aiming to improve their performances in solving various MOCO problems. Our approach involves the inclusion of a few specific heuristic solutions, including extreme solutions and a center solution, into the initial population. This inclusion serves to guide the evolution of the population throughout the optimization process. Our experimental results show that initial populations with a few heuristic solutions significantly improve the performance of EMO algorithms. Algorithm behavior analysis and further study are also provided, allowing for a comprehensive understanding of the effectiveness and applicability of our proposed method.
Low-Power VLSI Design for Image Analysis in Embedded Vision Systems

An innovative low-power Very Large Scale Integration (VLSI) architecture for real-time image identification in embedded vision systems is presented in this research study. The proposed design combines the cutting-edge hardware optimizations, algorithmic improvements, and power management practices in response to the rising demand for energy-efficient solutions across several applications, including robotics, surveillance, and autonomous cars. It starts with an effective sensor interface that uses power-saving analog-to-digital converters and smart clock gating techniques to reduce power usage while data is being acquired. Processing units specially created for high-performance operation with less power consumption include hardware accelerators for convolutional neural networks, specialized feature extraction units, and dedicated image identification accelerators. An adequately designed memory hierarchy improves energy efficiency, low-power interconnects, clock gating, and voltage scaling. The proposed architecture is completed with features for data parallelism, power management, and algorithmic improvements. The system's power utilization, real-time performance, and image identification precision have all undergone extensive testing using benchmark datasets and real-world scenarios. The proposed architecture is a solution for embedded vision systems because it strikes the perfect mix between real-time image identification and power economy.
Power Supply with Condition Monitoring of the Output Capacitor via Parametric Observer

The large-scale use of electronic power sources for various applications requires the monitoring of their operation and their critical components from the reliability point of view. One type of critical component for DC-DC power supplies is the output filtering capacitor. In most situations, the condition monitoring is performed by tracking the variation in time of the capacity and/or equivalent series resistance (ESR) values of the capacitor. The present paper continues the research on the parameter observer (PO) that was the subject of previous authors' articles, proposing an implementation of the PO with a microcontroller, for a buck converter. The experiments carried out confirm the possibility of using the proposed scheme in the quasi-online mode of operation. The estimation of the two parameters of the capacitor was done in about 10 ms during the discharge of the capacitor. The experimental results obtained allow the proposal of implementation extensions that widen the range of possible applications.
Karyotype profile of holarrhena antidysenterica (Roxb. Ex fleming) wall

The karyomorphological features of Holarrhena antidysenterica (Roxb. ex Fleming) Wall. through the application of differential staining techniques (using orcein, CMA, and DAPI) were studied. After applying orcein staining, the interphase nuclei of this species exhibited a ‘simple chromocenter type’ with numerous small heterochromatin blocks and the prophase chromosomes were ‘interstitial type’. The karyotype analysis revealed that this species possesses diploid chromosome number of 2n = 22, with all metacentric chromosomes. The total length of the chromosome complement in the diploid set was 29.91 μm. A total of four CMA-positive bands were observed in this species whereas seven bands were found after DAPI-staining. Heteromorphicity was observed in the DAPI stained metaphase stage indicating the probable occurrences of chromosomal aberrations such as deletion and inversion. The karyotype profile of H. antidysenterica obtained from orcein and fluorescent banding was determined for the first time in Bangladesh. Bangladesh J. Bot. 52(4): 1085-1089, 2023 (December)
Predictive Capabilities of Human Leukocyte Antigen-G and Galectin-13 Levels in the Amniotic Fluid and Maternal Blood for the Pregnancy Outcome

Background and Objectives: Increasing evidence points to the significant role of the angiogenic factor levels in screening for pregnancy outcome. To examine the potential relationship between concentrations of placental protein 13 (PP13) and soluble human leukocyte antigen-G (sHLA-G) in maternal serum and amniotic fluid at 16–23 weeks of gestation and the sonographic features of pregnancy as well as pregnancy outcome. Materials and Methods: PP13 and sHLA-G in serum and amniotic fluid, fetal biometrical data, and placental volume and perfusion indices were determined in 71 euploid, singleton pregnancies. Results: The serum sHLA-G level exhibits a negative correlation with the serum PP13 level (r = −0.186, p < 0.001) and a positive correlation with the sHLA-G level in amniotic fluid (r = 0.662, p < 0.001). A significant correlation was found between serum sHLA-G level and placental volume (r = 0.142, p < 0.05) and between amniotic sHLA-G level and placental perfusion (r = −0.450, p < 0.001). A low amniotic PP13 level significantly predicted the birth weight (r = −0.102, p < 0.05), the duration of pregnancy (r = −0.155, p < 0.05), and the fetal abdominal circumference (r = −0.098, p < 0.05). Conclusions: PP13 assayed in amniotic fluid might be a potential marker of fetal growth, and sHLA-G can be an adjunct modality reflecting placental sonographic parameters.
Enamel Defects, Well-being and Mortality in a Medieval Danish Village

Accentuated striae (AS) are developmental defects in tooth enamel that form during periods of physiological stress, and have been used in skeletal studies to measure stress and health levels in past populations. However, the assumption that the presence of AS necessarily indicates poor health has not been sufficiently tested. This project builds on past research by investigating the relationship between AS and age at death, since the presence of more AS in younger individuals (those with a higher risk of dying) would support the relationship between AS and poor health. Analytical improvements for testing this relationship include a focus on individuals as the unit of analysis and the use of survival analysis, which corrects for some skeletal sample biases and allows for both juveniles and adults to be included. “Weak” and “strong” AS in permanent teeth from 85 medieval Danish skeletons (ages at death: 0-30 years) are identified in digital images of tooth thin sections and developed into individual defect chronologies using daily and long-period increments in enamel. Chronologies span the period from birth until death or canine crown completion, whichever occurs first. Survival analysis is used to test the relationship of AS in different periods of childhood to the risk of dying at subsequent ages. Weak AS occurring before age seven predict a lower risk of dying after age seven while strong AS show the opposite pattern. It could be that weak AS indicate “good” stress and should be distinguished from strong AS when trying to measure health for past populations. Strong AS occurring just between ages two and four are predictive of a lower risk of dying in that age interval, an example of the complex patterns of mortality selection during childhood. Research is needed to determine whether these patterns are population-specific; if populations vary in the ages of AS formation that are negatively and positively related to current or subsequent risk of dying, future comparisons of AS across populations will need to take this into account. The implications that these findings have for future enamel defect research and for interpreting health in medieval Denmark are discussed.