Miracle-dz/UniFAR-FTUs huggingface dataset:
Theoretical and methodological approaches to the formation of a

An analysis of literary sources was conducted, which had to be done a conclusion that in the system of complex business risks in the activity of companies, branding, client-oriented approach to activity, etc. can be a competitive advantage of the enterprise not only in the national markets, but also in the global environment. It has been shown that brand loyalty is based on two components ‒ customer satisfaction and regular shopping. The ability of a buyer to distinguish a company product from one another is an important task of the company's marketing services. A study of the history of branding has shown that, until recently, this process was inherent only in large companies that understood the necessity of investing heavily in brand-forming. However, today this task can be successfully implemented at medium and small enterprises. Features that distinguish small companies from large ones in terms of marketing are shown, such as limited customer base, limited activity, lack of formalized planning and evolutionary marketing, the ownermanagers' marketing competency. Features that distinguish small companies from large ones in terms of marketing are shown, such as limited customer base, limited activity, lack of formalized planning and evolutionary marketing, the owner-managers' marketing competency. Emphasis is placed on the fact that significant dissimilarities in marketing technologies differ not only among enterprises of different sizes but also in the companies of different territorial markets. The role of production fragmentation, deconcentration, geographic “diffusion” is described, in the context of which differences between globalization, lLocalization and glocalization are shown. It is proved that according to the processes and principles of glocalization, brand adaptability to territorial and segmental market features is its determinative quality that can expand markets for the company.
Call to Action: Academic Nursing's Role in Redesigning Health Care to Reduce the Human and Financial Cost of Health Inequities

Health equity is an aspirational goal for health outcomes that can be achieved when systemic inequalities are addressed. The human cost of health inequities is without number; we can and must ameliorate health inequities. This essay summarizes the impact of continued health disparities and inequities in the United States and outlines the ways in which increasing diversity in the nursing workforce and graduating equity-minded nurses can promote innovation and problem-solving to address these disparities and inequities. We then present multiple pathways for nurses in academia to advance health equity.
A Review of On-Chip Adjustable RF Bandpass Filters: Adjustable On-Chip Filters

Nowadays, with the increasing performance requirements of wireless applications, the RF front end needs enough dynamic range to work properly in multiband. The traditional multichannel parallel structure provides outstanding performance, but repeated components consume a large board area and add complexity to the circuit <xref ref-type="bibr" rid="ref1">[1]</xref>. To solve this problem, tunable architectures have been proposed <xref ref-type="bibr" rid="ref2">[2]</xref>, <xref ref-type="bibr" rid="ref3">[3]</xref>. At the same time, wireless telecommunication equipment is pushing toward low-cost system-on-chip technology, which integrates the RF front-end module with the back end onto a single chip.
Clinical and biochemical characteristics of individuals with low cholesterol syndromes : a comparison between Familial Hypobetalipoproteinemia ( FHBL 1 ) and Familial combined hypolipidemia ( FHBL 2 )

Background . The most frequent monogenic causes of low plasma cholesterol are familial hypobetalipoproteinemia (FHBL1), due to truncating mutations in apolipoprotein B coding gene (APOB), and familial combined hypolipidemia (FHBL2) due to loss-of-function (LOF) mutations in ANGPTL3 gene. Objective. A direct comparison of lipid phenotypes of these two conditions has never been carried out. In addition, while an increased prevalence of liver steatosis in FHBL1 has been consistently reported, the hepatic consequences of FHBL2 are not well established. Methods. We investigated 350 subjects, 67 heterozygous carriers of APOB mutations, 63 carriers of the p.S17* mutation in ANGPTL3 (57 heterozygotes and 6 homozygotes) and 220 non-carrier normolipemic controls. Prevalence and degree of hepatic steatosis was assessed by ultrasonography. Results. A steady decrease of low-density lipoprotein cholesterol (LDL-C) level was observed from heterozygous to homozygous FHBL2 and to FHBL1 individuals, with the lowest levels in heterozygous FHBL1 carrying truncating mutations in exons 1-25 of APOB (P for trend <0.001). Plasma triglycerides levels were similar in heterozygous FHBL1 and homozygous FHBL2 individuals, M AN US CR IP T AC CE PT ED ACCEPTED MANUSCRIPT 2 but higher in heterozygous FHBL2. The lowest high-density lipoprotein cholesterol (HDL-C) levels were detected in homozygous FHBL2 (P for trend<0.001). Compared to controls, prevalence and severity of hepatic steatosis was increased in heterozygous FHBL1 (p<0.001), but unchanged in FHBL2 individuals. Conclusion. Truncating APOB mutations showed the more striking LDL-C lowering effect as compared to p.S17* mutation in ANGPTL3. Reduced HDL-C levels were the unique lipid characteristic associated to FHBL2. Mutations impairing liver synthesis or secretion of apolipoprotein B are crucial to increase the risk of liver steatosis.
A brief overview of fire suppression and fuel mitigation

This essay reviews how fire is an integral component of the ecosystem, and how fire suppression has affected the forested landscape as a result of altering natural fire regimes. This essay will expand on current fuel mitigation treatments used in the United States by reviewing the effectiveness of mechanical harvesting, prescribed burns, and the combination treatment of mechanical harvesting and prescribed burns discussed in the National Fire and Fire Surrogate Study. Current fuel mitigation treatments will be reviewed with regards to climate change in British Columbia, a massive forested landscape that has experienced decades of fire suppression, and how climate change affects fuel mitigation treatments, with the hope to encourage further discussion, research, and ongoing programs that implement fuel management techniques with regards to climate change.
The Dalradian rocks of the Lecht, NE Scotland: stratigraphy, faulting, geochemistry and mineralisation

ABSTRACT Air photo interpretation and geochemistry have been used to supplement sparse field data in compiling a reconnaissance geological map of the area around the Lecht. Upper Appin and lower Argyll Group rocks are exposed, the best marker horizons being correlatives of the Appin and Jura Quartzites. Scatter plots, Q mode factor analysis and Pearson correlation coefficients of geochemical data were successfully used in the correlation of the pelite and limestone outcrops. The presence of major recumbent folds is inferred. The area is cut by numerous minor faults which are thought to be related to a major transcurrent fault, the probable north-eastern continuation of the Loch Tay fault, which was active in Lower Old Red Sandstone times. The Lecht manganiferous ironstone is a seepage-bog ore type deposit derived by weathering of the local Dalradian sequence. Despite intensive leaching, this sequence still shows anomalously high levels of several elements, particularly Mn, Ba and Zn. In addition, stratiform sphalerite and manganiferous garnet are present in Blair Atholl Subgroup limestone and pelite horizons, respectively. Mineralogical and geochemical evidence suggests the presence of Zn–Pb–(Ag)–(? Au) exhalative mineralisation within the upper Appin Group Dalradian of the region, of which the Lecht represents the distal manganiferous expression.
Impact of drinking water quality on performance of a heavy turkey breed

O ne of the largest turkey production farms in Giza, Egypt suffered from reduction in turkey growth performance traits of birds receiving drinking water from specific water artesian well in comparison to another well in the same area in spit of receiving the same feeding, management, vaccination and medication programs. Consequently the present work is designed to examine the different water quality parameters in both wells and its impact on growth performance traits, selected blood parameters, carcass traits and histopathological changes in internal organs. A total of 300 commercial, one day old large type white turkey poults (BUT Big 6 heavy turkey) were randomly assigned to three turkey houses (each of 100 birds) during the first four weeks of age, then males and females were separated in each group . The birds in the three experimental groups were fed ad-libitum on 6 stages basal diets. Birds in group one were constantly provided with clean tap water and served as (control group). While birds in the second group were constantly provided with water from the first artesian well (35m depth) and the birds of the third group were constantly provided with water from the second artesian well (180m depth). The basal diets and water from different sources were introduced to birds in different groups for 20 weeks (females) and for 24 weeks (males) . Results showed that the first artesian well that incriminated as the main cause of poor performance containing higher levels of total phosphates, total hardness and iron with high bacteriological contamination and the birds receiving that water showed poorest growth traits, FCR, elevated levels of (ALT& AST, urea and serum creatinine), decrease in BMY% and retrogressive changes in all internal organs of both males and females. It could be concluded that the usage of more hygienic water sources along with continuous monitoring of water quality are recommended, aiming to obtain a satisfactory potable water. Key words (Turkey, Growth performance, Water quality) Referred by
Clay Mineralogy of the Zhada Sediments: Evidence for Climatic and Tectonic Evolution Since ~9 Ma in Zhada, Southwestern Tibet

The clay mineralogy of the Zhada sediments was investigated, using X-ray diffraction and scanning electron microscopy, to obtain a better understanding of climatic change and uplift of the Himalayas in the Zhada region of Tibet. The sediments of Zhada basin in the late Miocene to Pliocene consist of lacustrine and fluvial deposits >800 m thick and can be subdivided into five clay assemblage zones based on their clay-mineral composition. The upward zonation is as follows: (1) smectite-kaolinite; (2) illite-chlorite; (3) chlorite-illite-kaolinite; (4) illite-chlorite; and (5) smectite, illite, and kaolinite. The ratio of chlorite + illite to kaolinite + smectite (Ch+I/K+S) and the Kübler index indicate a warm and humid climate from 9.5 to 8.4 Ma, a cold and dry climate from 8.4 to 7.2 Ma, a warm and seasonal arid climate from 7.2 to 4.5 Ma, a cool and humid climate from 4.5 to 3.6 Ma, and a warm and seasonally humid climate from 3.6 to 3.0 Ma. Intense fluctuations in the Kübler index and in the quantities of evaporite minerals dolomite, aragonite, and gypsum, during the period 7.2–4.5 Ma suggest strong climatic fluctuations between humid and seasonally humid conditions in the Zhada basin. Rapid uplift around the Zhada basin occurred at 8.4 and 3.6 Ma, with sharp subsidence at 7.2 and 4.5 Ma. Evolution of the climate at Zhada showed a different model from that of global climate change, and tectonics-led climate change was the major contributor to climate evolution in the area.
Soil Degradation: A Challenge to Sustainable Agriculture

Agricultural practices have a substantial impact on many ecosystems worldwide, and give rise to variety of ecological problems. Soil degradation is one the key areas in which agriculture impacts upon ecology. Soil erosion is a result of poor farming practices which cause removal of vegetation cover from soils, the use of large fields without boundaries to slow water movement and inappropriate ploughing techniques all stimulate soil erosion. Salinity of soil is another important factor which limits the use of this natural resource. In present review the causes, the cost of soil erosion and certain soil conservation practices have been discussed.
AI-SAM: Automatic and Interactive Segment Anything Model

Semantic segmentation is a core task in computer vision. Existing methods are generally divided into two categories: automatic and interactive. Interactive approaches, exemplified by the Segment Anything Model (SAM), have shown promise as pre-trained models. However, current adaptation strategies for these models tend to lean towards either automatic or interactive approaches. Interactive methods depend on prompts user input to operate, while automatic ones bypass the interactive promptability entirely. Addressing these limitations, we introduce a novel paradigm and its first model: the Automatic and Interactive Segment Anything Model (AI-SAM). In this paradigm, we conduct a comprehensive analysis of prompt quality and introduce the pioneering Automatic and Interactive Prompter (AI-Prompter) that automatically generates initial point prompts while accepting additional user inputs. Our experimental results demonstrate AI-SAM's effectiveness in the automatic setting, achieving state-of-the-art performance. Significantly, it offers the flexibility to incorporate additional user prompts, thereby further enhancing its performance. The project page is available at https://github.com/ymp5078/AI-SAM.
Anthropocene: Earth System, geological, philosophical and political paradigm shifts

The concept of the Anthropocene has created a profound paradigm shift within the scientific community that may well create equally important changes in philosophy and politics. There is general scientific agreement that human activity has been a geologically recent, yet profound, influence on the Earth System. The magnitude, variety and longevity of human-induced changes, to the lithosphere, hydrosphere, cryosphere, biosphere and atmosphere, suggests that we should refer to the present, not as within the Holocene Epoch (as it is currently formally referred to), but instead as within the Anthropocene Epoch. Hamilton (2015) argues that many commentators fail to acknowledge this paradigm shift and suggests the discussion of when the Anthropocene Epoch started is a distraction and irrelevant. Earth System scientists, such as ourselves, would argue that the evidence for the Anthropocene is already accepted and that the paradigm shift has already occurred. The current discussion has moved forward and is now centred on defining the start of the epoch using the fundamental principles of stratigraphy. We explain how geological time is divided up and the fundamental role of Global Stratotype Section and Points (GSSPs). We go beyond Hamilton’s (2015) limited discussion and argue that the Anthropocene is creating paradigm shifts beyond the natural sciences. We also argue that there are multiple definitions of the Anthropocene and even if a formal definition of the Anthropocene Epoch is agreed by geoscientists, this would in no way invalidate other definitions or uses. It is the utility and wide appeal that makes the Anthropocene such an important concept.
Cost-Effective Design of Polarization and Bandwidth Reconfigurable Millimeter-Wave Loop Antenna

A singly fed reconfigurable circular loop antenna is proposed for millimeter-wave (mmWave) communication systems. This antenna’s distinctive feature lies in its capacity to adjust both polarization and bandwidth characteristics, a capability made possible by the strategic integration of two PIN diodes. These diodes are engineered to function in various modes, allowing for three distinct polarization states and accommodating two distinct bandwidths. A meticulous alignment of these PIN diodes enables the utilization of a single DC bias network as a highly effective RF choke, which simplifies the design and reduces the associated losses. Additionally, a planar biasing network that consists of coplanar strip-lines (CPS) has been employed eliminating the need for lumped elements. The simple and totally planar configuration offers a choice of right-hand circularly polarized (RHCP) radiation or left-hand circularly polarized (LHCP) radiation at 28 GHz. This is accompanied by impedance matching and axial ratio (AR) bandwidths of 12.9% and 8%, respectively, over the same frequency range with a gain of 7.5 dBic. Moreover, when the PIN diodes are unbiased, the antenna offers linear polarization (LP) over two narrow bandwidths at 27 GHz and 29 GHz featuring a maximum gain of 7.2 dBic. Therefore, the proposed configuration offers three operating modes: wide-band RHCP, wide-band-LHCP, and LP over dual narrow bands. Significantly, simulated results closely align with the measured outcomes, affirming the robustness and accuracy of this design.
Repositório ISCTE-IUL

—This paper presents a robot navigation system capable of online self-reconﬁguration according to the needs imposed by the various contexts present in heterogeneous environments. The ability to cope with heterogeneous environments is key for a robust deployment of service robots in truly demanding scenarios. In the proposed system, ﬂexibility is present at the several layers composing the robot’s navigation system. At the lowest layer, proper locomotion modes are selected according to the environment’s local context. At the highest layer, proper motion and path planning strategies are selected according to the environment’s global context. While local context is obtained directly from the robot’s sensory input, global context is inspected from semantic labels registered off-line on geo-referenced maps. The proposed system leverages on the well-known Robotics Operating System (ROS) framework for the implementation of the major navigation system components. The system was successfully validated over approximately 1 Km long experiments on INTROBOT, an all-terrain industrial-grade robot equipped with four independently steered wheels.
OBJECT TRACKING BERBASIS KEYPOINT MENGGUNAKAN ALGORITMA ORB (ORIENTED FAST AND ROTATED BRIEF) PADA RASPBERRY PI

Perkembangan teknologi saat ini, penggunaan gambar digital sudah menjadi kebutuhan untuk berbagai keperluan. Citra digital berperan untuk memberikan informasi tentang apa yang ada pada suatu gambar digital. Object tracking merupakan salah satu penelitian yang menarik dalam computer vision dalam pencitraan digital. Object tracking digunakan melalui beberapa metode, salah satunya menggunakan keypoint dengan algoritma ORB sebagai dasarnya. Algoritma ORB memiliki kecepatan yang sangat tinggi, akan tetapi apakah bisa dijalankan di Raspberry Pi. bagaimana unjuk kerja algoritma tersebut bila dibandingkan dengan algoritma SIFT dan SURF. Setelah dilakukan pengujian, dihasilkan bahwa untuk unjuk kerja algoritma ORB lebih cepat dibandingkan dengan algoritma SURF dan SIFT. Kekurangan dari algoritma tersebut masih banyak kehilangan keypoint, masih terpengaruh dengan lingkungan sekitar objek, serta Raspberry Pi yang belum bisa secara maksimal untuk digunakan sebagai object tracking.
Repositório ISCTE-IUL

—Today smart devices such as smartphones, smartwatches and activity trackers are widely available and accepted in most developed societies. These devices present a broad set of sensors capable of extracting detailed information about different situations of daily life, which, if used for good, have the potential to improve the quality of life not only for individuals but also for the society in general. One of the key areas where this type of information can help to improve the quality of life is in healthcare since it allows to monitor and infer the current level of well-being of the smart devices carriers. In this paper, some of the available literature about well-being sensing through context-aware data is reviewed. Also, the main types of mechanisms used in these studies are identified. These mechanisms are related to monitoring, generalization, inference, feedback, energy management and privacy. Furthermore, a description of the mechanisms used in each study is presented.
Blood Alcohol Concentration Screening at Emergency Room: Designing a Classification Model Using Machine Learning

Conventional alcohol screening methods in the ER are susceptible to errors, potentially compromising patient safety and treatment efficacy. Thus, the study aimed to develop an improved classification model utilizing blood gas data and machine learning techniques. Patient data collected from the ER formed the dataset, with blood gas data available for each patient. Five distinct machine learning algorithms—K-nearest neighbor, logistic regression, random forest, LightGBM, and support vector machine (SVM)—were employed to construct the classification model. Model performance evaluation encompassed sensitivity, specificity, and mean absolute error metrics. To contend with challenges arising from intricate feature dimensions and skewed data distribution, the study incorporated feature selection techniques like the Filter and Wrapped Methods. Additionally, the SMOTEENN sampling approach was adopted to address data imbalance. Of the evaluated algorithms, the LightGBM model notably excelled, boasting an accuracy rate of 0.908 and an F-score of 0.617. This underscores the efficacy of utilizing blood gas analysis data for BAC prediction. The developed classification model holds potential for enhancing the precision and expediency of alcohol screening procedures within ER settings, enabling more informed medical decisions by healthcare providers.
African Global Health: An initiative committed to achieving Health Sovereignty in the Global South

The COVID-19 pandemic has played a crucial role in accelerating the shift in healthcare. Indeed, the pandemic has been an unprecedented global health crisis that has shaken the foundations of healthcare systems worldwide. It has exposed vulnerabilities in health systems, especially in Africa, and underscored the critical need for sovereign health systems to address the continent's unique challenges.
Research on Threat Intelligence-Based Attack Organization Identification

The difficulty in identifying attack organizations has been a major problem in cyber security. Many IoC-based attack organization identification methods such as IP and domain names are not as effective as they should be, often to be unsuccessful because of the change of IoC. In this paper, we propose a threat intelligence-based attack organization identification method. The method extracts the static features of attack organizations through threat intelligence and vectorizes them through the word embedding model BERT, then uses a hybrid neural network of BiLSTM and CNN to learn and train the dataset to complete the mapping from threat intelligence to attack organizations, so as to complete the identification of attack organizations, and the identification accuracy reaches 89.6%.
Instruments for optimal management of transboundary resources: lessons for the Nile Waters?

The resolve to make meaningful use of the Nile waters has been one of the most important development milestones in Ethiopia over the last Century. Given the transboundary nature of the Nile and the fact that little use has been made of the waters on Ethiopia’s part, assessing ways of optimally managing the resource is increasingly attracting attention from national and international researchers and policy makers, as well as the media. The objective of this article is to present an overall review of available economic instruments in optimal management of the resource. The assessment focuses on various economic instruments, namely, insights from efficiency principle, and strategic interactions and market-based instruments to draw policy lessons. The findings generally show that economic instruments could, in principle, be used to address the coordination gaps that act as stumbling blocks against efficient use of the Nile water, to the benefits of all stakeholders. The findings of the study also indicate areas where further quantitative analyses should be focused on.