Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis on The Origin, Development and Contribution of Ge’ez Numerals to The Modern Mathematics Education in Ethiopia: Status, Challenges and Future Opportunities.

From the Ethiopian ancient history, it is believed that among the first peoples to inhabit was the Ge’ez speaking agrarians who settled in the Tigrayan highlands (Northern Ethiopia) around 2000BC. The inland Axum Kingdom was founded by Menilik I, a descendent of King Solomon and the Queen of Sheba, after the fall of the Da’amat Kingdom. Associated with the letters in the Ethiopian alphabet starting from ancient times, there are the Ge’ez numerals also called Ethiopic numerals. This study, therefore, purely used qualitative data obtained from interviewees and document analysis. The data obtained are narrated and organized. Patterns are identified and categorized. Finally, interpretations and implications of findings are included in the analysis. Findings indicated that there is a need for modification of the Ge’ez numbers by removing the bars above and below the original skeleton of the numbers so that doing mathematics with them becomes easier. Beyond this modification, evidence indicated that the Ge’ez numbers cannot be used for doing mathematical operations without the introduction of Ge’ez zero. Without the Ge’ez zero, it is impossible to deal with place value, decimal, and fractions, as well as with the common operations (addition, subtraction, multiplication, and division) and higher mathematics in general. Finally, it is the recommendation of this study to work towards awareness creation and consensus building about the common understanding and misunderstanding of Ge’ez numeration system at all levels as well as introducing this numeration system in to the school system.
Contextual Bandit-Based Amplifier IBO Optimization in Massive MIMO Network

Massive Multiple-Input Multiple-Output (MMIMO) is one of the 5G key enablers. Though, most of the works consider MMIMO under assumptions of ideal hardware. It has been shown that Power Amplifiers (PAs) introduce nonlinear distortion while operating close to their saturation power. Moreover, these distortions are in some cases beamformed toward the user, preventing antenna array gain from solving this problem. One of the possible solutions is an adaptive adjustment of the PA operating point, measured by Input Back off (IBO), to find a balance between wanted signal power and nonlinear distortion power. This work proposes a Contextual Bandit-Based IBO Optimization (COBBIO) algorithm to find rate-maximizing IBO for a given user’s radio conditions using learning through interaction. The proposed solution is tested in a realistic analog beamforming MMIMO cell simulator with multiple functional blocks, e.g., precoder, user scheduler, and utilizing an accurate 3D Ray-Tracing radio channel model. COBBIO provides throughput gains both over fixed-IBO schemes and state-of-the-art analytical IBO adjustment algorithms. The highest gains were observed for the so-called cell-edge users, where up to 83% improvement over the state-of-the-art algorithm was observed for the proposed COBBIO algorithm.
On the presence of Allosaurus fragilis (Theropoda: Carnosauria) in the Upper Jurassic of Portugal: first evidence of an intercontinental dinosaur species

The species Allosaurus fragilis, from the Morrison Formation of North America (Kimmeridgian–Tithonian, Upper Jurassic), is one of the best known members of the Theropoda, the group including all predatory non-avian dinosaurs and birds. Here, we report on the first diagnostic theropod remains discovered from the Jurassic of the Iberian Peninsula. The specimen is the first evidence of A. fragilis outside North America. Thus, this taxon represents the first dinosaur species found on two different continents, and suggests the existence of a ‘land bridge’ between North America and Europe during the Late Jurassic.
Charting a killer course to the solid tumor: strategies to recruit and activate NK cells in the tumor microenvironment

The ability to expand and activate natural Killer (NK) cells ex vivo has dramatically changed the landscape in the development of novel adoptive cell therapies for treating cancer over the last decade. NK cells have become a key player for cancer immunotherapy due to their innate ability to kill malignant cells while not harming healthy cells, allowing their potential use as an “off-the-shelf” product. Furthermore, recent advancements in NK cell genetic engineering methods have enabled the efficient generation of chimeric antigen receptor (CAR)-expressing NK cells that can exert both CAR-dependent and antigen-independent killing. Clinically, CAR-NK cells have shown promising efficacy and safety for treating CD19-expressing hematologic malignancies. While the number of pre-clinical studies using CAR-NK cells continues to expand, it is evident that solid tumors pose a unique challenge to NK cell-based adoptive cell therapies. Major barriers for efficacy include low NK cell trafficking and infiltration into solid tumor sites, low persistence, and immunosuppression by the harsh solid tumor microenvironment (TME). In this review we discuss the barriers posed by the solid tumor that prevent immune cell trafficking and NK cell effector functions. We then discuss promising strategies to enhance NK cell infiltration into solid tumor sites and activation within the TME. This includes NK cell-intrinsic and -extrinsic mechanisms such as NK cell engineering to resist TME-mediated inhibition and use of tumor-targeted agents such as oncolytic viruses expressing chemoattracting and activating payloads. We then discuss opportunities and challenges for using combination therapies to extend NK cell therapies for the treatment of solid tumors.
Geomorphological and Hydrological Effects of Subsidence and Land use Change in Industrial and Urban Areas

Land subsidence caused by mining activities is an example of human transformation of the natural environment and leads to changes in land use. The study covers an area of 958 ha in the Silesian Upland, southern Poland. Records from the period 1890–1990 document the presence of subsidence effects in 82.9% of the study area and the maximum displacement figure is more than 30 m which translates to an average rate of 0.3 m per year. It was found that subsidence basins serve as the new local erosion base and new sedimentation basins. They are filled with sediments whose level of pollution ranges from moderate to heavy and extremely heavy. Subsidence has caused a dramatic change in the local hydrology, including the quality and quantity of the water. The specifics involve: the emergence of new closed drainage catchments with a total area of 651.1 ha; an increase in the total watercourse length (from 0.9 to 5.7 km); an increase in the river network density (from 0.09 to 0.56 km km−2); a decrease in the number (from 81 to 48) and an increase in the area (from 23.8 to 58.4 ha) of lakes and ponds; an increase in the lake coverage ratio (from 2.5% to 6.1%) and in water pollution. Subsidence has limited the potential land uses, which led to a decrease in arable land from 619.0 to 122.5 ha that gave way to other land uses, including those equivalent to wasteland. Copyright © 2016 John Wiley & Sons, Ltd.
Science Biology Digital Video: Reproductive Health Education for Pre-School Children

The purpose of this study was to determine the effectiveness of the video method and fairy tales on changes in knowledge about reproductive health of sexual violence in pre-school children in TK District in 2023. The research method conducted was to use quasi experimental with purposive sampling with a sample of 120 people. Data techniques included in univariate analysis using frequency distribution and bivariate analysis using statistical calculations of the SPSS program. At Al-Hanif Islamic Kindergarten, the sig value was obtained. (2-tailed) 0.001 in video intervention and 0.000 in fairy tale intervention. In Kartini Kindergarten, the sig. (2-tailed) 0.000 on video intervention and 0.000 on fairy tale intervention. At RA Al-Barokah Kindergarten, the sig. (2-tailed) 0.001 in video intervention and 0.001 in fairy tale intervention. At Az-Zahra Kindergarten, the sig. (2-tailed) 0.001 in video intervention and 0.001. From the significant results in the four kindergartens, it is known that the significant value is less than 0.05. Thus it can be seen that there is an influence in using video and fairy tale methods on pre-school children's knowledge about sexual violence. Based on the results of the Independent sample t-test, the four kindergartens have a sig. (2-tailed) which is <0.05. This shows that there is a difference in effectiveness between video and fairy tale methods on the level of knowledge of pre-school children.
Comprehensive Gene Expression Profiling Analysis of Adipose Tissue in Male Individuals from Fat- and Thin-Tailed Sheep Breeds

Simple Summary For this paper, we investigated the differences in adipose tissue deposition between sheep breeds with fat and thin tails, relying on advanced techniques like meta-analyses and machine learning to analyze gene expression data. Our findings revealed key genes associated with fat metabolism, shedding light on the genetic factors influencing tail fat in sheep. Notably, three specific genes (POSTN, K35, and SETD4) were identified as significant biosignatures related to fat deposition. This innovative approach (combining data analysis and machine learning) enhances our understanding of how to optimize fat deposition in sheep breeds, which holds potential for more efficient animal breeding strategies and carcass fat reduction. Abstract It has been shown that tail fat content varies significantly among sheep breeds and plays a significant role in meat quality. Recently, significant efforts have been made to understand the physiological, biochemical, and genomic regulation of fat deposition in sheep tails in order to unravel the mechanisms underlying energy storage and adipose tissue lipid metabolism. RNA-seq has enabled us to provide a high-resolution snapshot of differential gene expression between fat- and thin-tailed sheep breeds. Therefore, three RNA-seq datasets were meta-analyzed for the current work to elucidate the transcriptome profile differences between them. Specifically, we identified hub genes, performed gene ontology (GO) analysis, carried out enrichment analyses of the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways, and validated hub genes using machine learning algorithms. This approach revealed a total of 136 meta-genes, 39 of which were not significant in any of the individual studies, indicating the higher statistical power of the meta-analysis. Furthermore, the results derived from the use of machine learning revealed POSTN, K35, SETD4, USP29, ANKRD37, RTN2, PRG4, and LRRC4C as substantial genes that were assigned a higher weight (0.7) than other meta-genes. Among the decision tree models, the Random Forest ones surpassed the others in adipose tissue predictive power fat deposition in fat- and thin-tailed breeds (accuracy > 0.85%). In this regard, combining meta-analyses and machine learning approaches allowed for the identification of three important genes (POSTN, K35, SETD4) related to lipid metabolism, and our findings could help animal breeding strategies optimize fat-tailed breeds’ tail sizes.
Numerical Method of Designing an Automotive Driving Simulator for Training Drivers of Motor Vehicles

The paper presents the results of numerical simulation and design of an automotive driving simulator for training drivers of motor vehicles, which includes a six-stage dynamic mobility platform and an integrated system of virtual 3D models of real terrain using the software and hardware system “Route”. On the basis of the developed mathematical model of the dynamic platform, optimization of geometric parameters was performed, various configurations of the plat-form were analysed. Optimization was performed using the PSO (Particle Swarm Optimization) heuristic algorithm. A digital twin of the platform has been developed in the MSC Adams (Automated Dynamic Analysis of Mechanical Systems) software package. The resulting digital twin has the properties of complete identity with the real prototype. A prototype of an automotive driving simulator is presented, which is equipped with a system of virtual 3D models of real terrain. The results of mathematical modelling, as well as experimental studies of the prototype are presented, which made it possible to evaluate its capabilities and characteristics.
A Multichannel Wiener Filter Method of Deformation Measurement for Simultaneous Multiangle Spaceborne D-InSAR

Simultaneous multiangle spaceborne synthetic aperture radar (SAR) can provide spatially diverse SAR images of the same scene without time lags. Through differential SAR interferometry (D-InSAR), the system can extract accurate multidimensional deformations from the mixing differential tropospheric delay (DTD), which generally distorts deformation signals in single interferograms. This article focuses on the multidimensional deformation estimation by simultaneous multiangle spaceborne D-InSAR. A multichannel Wiener filter (MWF)-based multidimensional deformation and DTD joint estimation method is proposed in this article. The method can achieve optimal estimation accuracy and reduce the loss of scene details. It was first validated by the simulations based on the system parameters of the future European Space Agency (ESA) Harmony mission. Additionally, the method was confirmed through the utilization of the real TanDEM-X bidirectional (BiDi) SAR data acquired over two scenes in California, USA. We analyzed the performance of the method in the presence of multiple error sources and investigated the impact of different observation geometries on estimation performance. Finally, the results demonstrate the potential of simultaneous multiangle spaceborne D-InSAR in multidimensional deformation measurement. The proposed method is effective in achieving good estimation accuracy and spatial resolution preservation.
New insights on the Holocene marine transgression in the Bahía Camarones (Chubut, Argentina)

The stratigraphic reconstruction of the northern sector of the Bahia Camarones (Chubut, Argentina) allowed to improve our understanding of the Holocene marine transgression in the area.The first phase of the maximum of the transgression, is interpreted as dominated by the high rate of eustatic rise of sea level until ca. 6-7 ka BP possibly associated to sedimentary starvation as suggested by fossil accumulation. After this first phase, the general trend indicates a progressive fall of the relative sea level after the Middle Holocene high stand as documented in other parts of south America Atlantic coast. Our data, coupled with the robust radiocarbondata set available for the area from literature, indicate three main local steps of coastal aggradation between ca. 6600 and 5400 yr BP (ca. 7000-5600 yr cal BP), ca. 3300 and 2000 yr BP (ca. 3100-1700 yr cal BP), and ca. 1300-500 yr BP (ca. 1000-300 yr cal BP). A significant age gap in coastal aggradation is present between ca. 5300 and 4400 yr BP (ca. 5600-4500 yr cal BP), and perhaps between ca 2000 and 1300 yr BP (ca. 1700-1000 yr cal BP). These can be linked to phases of local sea level fall and/or phases of sedimentary starvation and/or changes in drift transport which can have produced local coastal cannibalization. However, no conclusive data can be advanced. Data obtained from careful measurements of sea level markers represented by the top of marsh and fluvial terraces indicate lower values for the sea level estimation compared with the data set previously proposed for the area. This stigmatizes the fact that field-oriented works are still the priority in the Patagonia coast along with accurate age measurement, especially for obtaining the fundamental information we need for predicting the environmental impact, in these coastal areas, from accelerate sea level rise as effect of global warming.
Towards Sustainable WEEE Management:Challenges, Insights and a Strategic Framework

Waste Electrical and Electronic Equipment (WEEE) management presents profound environmental challenges worldwide. In locales like Huila, Colombia, devising effective strategies is paramount for fostering sustainable trajectories. This investigation aims to identify the salient elements essential for developing a proficient approach to WEEE management in this region. Employing a predominantly qualitative mixed-methods approach, the study intertwines inductive, deductive, and abductive rationales, applying an interpretative perspective. Our sample encompassed 72 stakeholders active in WEEE management, extending from urban households to WEEE-focused businesses and environmental entities. Comprehensive questionnaires gathered data on socio-demographics, WEEE awareness, comprehension of relevant regulations, and associated practices. An exhaustive descriptive statistical analysis examined each variable's behavior, supplemented by visual representations and pivotal statistical parameters. These findings were further augmented by a SWOT analysis. Results emphasize the cardinal challenges in sculpting a strategic WEEE management pathway, yielding insights indispensable for policymakers intent on refining WEEE procedures. Moreover, the investigation introduces a methodical framework for secure, effective electronic waste handling, transportation, precious metal extraction, and disposal. Fundamentally, this research enriches the discourse on WEEE management, proffering pragmatic solutions with extensive ramifications. Received: 15 August 2023 / Accepted: 21 October 2023 / Published: 5 November 2023
Pharmacogenomics of Cardiovascular Drugs for Atherothrombotic, Thromboembolic and Atherosclerotic Risk

Purpose of Review: Advances in pharmacogenomics have paved the way for personalized medicine. Cardiovascular diseases still represent the leading cause of mortality in the world. The aim of this review is to summarize the background, rationale, and evidence of pharmacogenomics in cardiovascular medicine, in particular, the use of antiplatelet drugs, anticoagulants, and drugs used for the treatment of dyslipidemia. Recent findings: Randomized clinical trials have supported the role of a genotype-guided approach for antiplatelet therapy in patients with coronary heart disease undergoing percutaneous coronary interventions. Numerous studies demonstrate how the risk of ineffectiveness of new oral anticoagulants and vitamin K anticoagulants is linked to various genetic polymorphisms. Furthermore, there is growing evidence to support the association of some genetic variants and poor adherence to statin therapy, for example, due to the appearance of muscular symptoms. There is evidence for resistance to some drugs for the treatment of dyslipidemia, such as anti-PCSK9. Summary: Pharmacogenomics has the potential to improve patient care by providing the right drug to the right patient and could guide the identification of new drug therapies for cardiovascular disease. This is very important in cardiovascular diseases, which have high morbidity and mortality. The improvement in therapy could be reflected in the reduction of healthcare costs and patient mortality.
Probing Historical Image Contexts: Enhancing Visual Archive Retrieval through Computer Vision.

This study examines the longstanding need and challenge of providing contextual analysis of historical images stored in digital visual archives and the accessibility of retrieving contextual information from these historical archives. Contextual analysis is essential for disciplines such as history and art history, as it allows for the contextualization of artwork and historical sources with historical narratives, which in turn enhances understanding of the artistic or political expression in the contents of cultural products. To address this challenge, a novel approach is proposed utilizing computer vision to trace the circulation and dissemination of historical photographs in their original contexts. This method involves first using YOLO v7 to crop historical images from pictorial magazines, then training machine learning models on the cropped printed images plus another large dataset of original historical photographs, and comparing the similarity of images between the datasets of printed images and original photographs. To ensure accuracy of image similarities between the two subsets with distinct image qualities, an ensemble of three machine learning models—Vision Transformer, EfficientNetv2, and Swin Transformer—was developed. Through this system, contexts in the circulation of historical photographs were discovered and new insights regarding the editing strategies of propaganda magazines in East Asia during WWII were uncovered. These outcomes offer supporting evidence for previous research in the history and art historical disciplines, and demonstrate the potential of computer vision for uncovering new information from digital visual archives. Our model achieves a 77.8% top-15 retrieval accuracy on our evaluation dataset.
Paper-Based Analytical Device Based on Potentiometric Transduction for Sensitive Determination of Phenobarbital

In medicine, barbiturates are a class of depressive medications used as hypnotics, anticonvulsants, and anxiolytics. For the treatment of specific forms of epilepsy and seizures in young children in underdeveloped countries, the World Health Organization recommends phenobarbital (PBAR), a barbiturate drug. This review describes the fabrication and characterization of a paper-based analytical apparatus for phenobarbital detection that is straightforward, affordable, portable, and disposable. All of the solid-state ion-selective electrodes (ISEs) for PBAR as well as a Ag/AgCl reference electrode were constructed and optimized on a nonconductive paper substrate. Using carbon nanotube ink, the sensors were made to function as an ion-to-electron transducer and to make the paper conductive. A suitable polymeric membrane is drop-cast onto the surface of the carbon ink orifice. The pyrido-tetrapeptide and pyrido-hexapeptide derivatives, which were recently synthesized, functioned as distinct ionophores in the PBAR-membrane sensor, enabling its detection. With a detection limit of 5.0 × 10–7 M, the manufactured analytical device demonstrated a Nernstian response to PBAR anions in 50 mM phosphate buffer, pH 8.5, over a linear range of 1.0 × 10–6 to 1.0 × 10–3 M. The PBAR-based sensors showed quick (less than 5 s) response times for PBAR ion detection. The modified separate solution method was utilized to evaluate the selectivity pattern of these novel ionophores with respect to PBAR ions in comparison to other common anions. The analytical instrument that was exhibited on paper had good precision both within and between days. The suggested technology assisted in the detection of trace amounts of PBAR in real pharmaceutical samples. A comparison was made between the data acquired using the HPLC reference method and the information obtained by the recommended potentiometric approach. The described paper-based analytical device may be a good choice for point-of-care PBAR determination because it is cheap and easy to find and can self-pump (especially when combined with potentiometric detection).