Miracle-dz/UniFAR-FTUs huggingface dataset:
Three-Dimensional Printed Annular Ring Aperture-Fed Antenna for Telecommunication and Biomedical Applications

The design of the aperture-fed annular ring (AFAR) microstrip antenna is presented. This proposed design will ease the fabrication and usability of the 3D-printed and solderless 2D materials. This antenna consists of three layers: the patch, the slot within the ground plane as the power transfer medium, and the microstrip line as the feeding. The parameters of the proposed design are investigated using the finite element method FEM to achieve the 50 Ω impedance with the maximum front-to-back ratio of the radiation pattern. This study was performed based on four steps, each investigating one parameter at a time. These parameters were evaluated based on an initial design and prototype. The optimized design of 3D AFAR attained S11 around 17 dB with a front-to-back ratio of more than 30 dB and a gain of around 3.3 dBi. This design eases the process of using a manufacturing process that involves 3D-printed and 2D metallic materials for antenna applications.
Trust in algorithmic decision-making systems in health: A comparison between ADA health and IBM Watson.

Algorithmic decision-making systems (ADMs) support an ever-growing number of decision-making processes. We conducted an online survey study in Flanders (n = 1,082) to understand how laypeople perceive and trust health ADMs. Inspired by the ability, benevolence, and integrity trustworthiness model (Mayer et al., 1995), this study investigated how trust is constructed in health ADMs. In addition, we investigated how trust construction differs between ADA Health (a self-diagnosis medical chatbot) and IBM Watson Oncology (a system that suggests treatments for cancer in hospitals). Our results show that accuracy and fairness are the biggest predictors of trust in both ADMs, whereas control plays a smaller yet significant role. Interestingly, control plays a bigger role in explaining trust in ADA Health than IBM Watson Oncology. Moreover, how appropriate people evaluate data-driven healthcare and how concerned they are with algorithmic systems prove to be good predictors for accuracy, fairness, and control in these specific health ADMs. The appropriateness of data-driven healthcare had a bigger effect with IBM Watson Oncology than with ADA Health. Overall, our results show the importance of considering the broader contextual, algorithmic, and case-specific characteristics when investigating trust construction in ADMs.
Pengabdian Masyarakat pada UMKM CV Kinjeng Melalui Pengenalan Metode Visualisasi Data Statistik dalam Bentuk Media Diagram Interaktif berbasis Peta

Artikel ini menekankan pentingnya beradaptasi dengan perubahan teknologi dalam proses produksi dan perlunya visualisasi data yang efektif. Buku ini memperkenalkan metode pembuatan diagram berbasis peta interaktif sebagai cara yang menarik secara visual dan komprehensif untuk menyajikan data statistik, khususnya untuk analisis kebijakan. Proses pembuatan diagram ini melibatkan pengumpulan data, pemrosesan data statistik, persiapan data spasial, dan penggunaan perangkat lunak dan peralatan tertentu. Kegiatan ini memaparkan metode pembuatan diagram berbasis peta interaktif dan membahas penerapan metode tersebut dalam konteks usaha kecil dan menengah (UMKM). Hasil kegiatan pengabdian ini adalah berupa diagram interaktif yang dibuaat untuk menunjukkan mapping data yang dimilki oleh CV Kinjeng.
Space-filling miniature antennas

A novel geometry of the present invention, such space-filling curve (SFC) is defined geometry, and this geometry may be used in forming part of the antenna. With this new technique, relative to the prior art, to reduce the size of the antenna, or, with respect to the conventional antenna of the same size, given a fixed size the antenna can operate at a lower frequency.
Enzyme Activity â€“ Indicator of Soil Biological Dynamics

Substrate utilization rate is a value of functional diversity specific for every ecosystem. The microbial groups are responsible for the exploitation of nutrient resources and conversion of organic matter, releasing into the soil the necessary enzymes for decomposition and mineralization processes. Monitoring the microbial enzymatic activity in the soil provides a number of useful indicators in determining the quality and equilibrium of soil. The enzymatic activity is concentrated in the rhizosphere of plants, the scale of the interpretation of the enzymatic processes ranging from a micro-level to a macro-(landscape) level. Enzymes provide good indications on biogeochemical cycles of elements, with a higher intensity of activity near to the soil surface. The study of soil enzymes provide effective analytical units for microbial processes, nutrient reserves and composition of microbial communities.
Improving Airline Bankruptcy Prediction

The airline industry plays an important role in the global economy but faces financial challenges. Numerous firms have filed for bankruptcy protection or have liquidated completely, each instance having a devastating effect on the company’s stakeholders. The objective of this study is to compare a traditional bankruptcy prediction model with a proposed alternative model, with the goal of identifying a means of predicting the combinations of characteristics that are present when an airline is likely to fail. The alternate model proved to be more accurate than the traditional model in predicting bankruptcy, providing improved forecasting up to four years prior to the bankruptcy filing date. Airlines can use this model to deploy corrective measures to alter the firm’s underlying problems, redefine strategies, and avoid bankruptcy, while investors can use this model to avoid or reduce investments in questionable firms that cannot be salvaged.
Characterization of anisotropy in a karstified carbonate platform using seismic and electrical resistivity methods : a joint approach

Les resultats presentes dans ce document portent sur les anisotropies sismique et electrique d'un massif calcaire fracture dans des galeries paralleles souterraines. Les fractures etant orientees verticalement, leurs proprietes sont approximees par isotropie transverse horizontale (HTI). Plusieurs methodes d'inversion ont ete etudie pour traiter les donnees sismiques (temps d’arrivee des ondes P et S); et pour traiter les donnees de resistivite electrique mesure dans une configuration pole-pole (valeur de potentiel mesure). Pour traiter les donnees sismiques (quatre campagnes), les methodes etudiees dans ce document sont: une tomographie isotrope, une approximation de cosinus, une inversion anisotrope basee sur l'algorithme Monte-Carlo pour les parametres de la matrice de rigidite (de l'isotropie transverse horizontale) et une tomographie anisotrope pour un milieu avec une isotropie transverse inclinee. Toutes les methodes conduisent a la conclusion qu'il y a effectivement une anisotropie presente dans le massif rocheux et confirment la direction de la velocite maximale parallele a la direction de la fracturation. Une forte anisotropie de 15 % est presente dans la zone etudiee.Pour traiter les donnees electriques (deux campagnes), les methodes etudiees sont une approximation de cosinus et une inversion anisotrope basee sur l'algorithme Monte-Carlo pour les parametres de resistivite transversale ρT, de resistivite longitudinale ρL et de l'angle d'orientation du modele par rapport au systeme de reference. La presence a 180° de deux maxima de resistivite apparente par rapport a l'azimut de mesure ne peuvent etre modelises par des approches conventionnelles. Une modelisation conceptuelle d'un maillage des fils conducteurs dans un milieu non conducteur a ete developpe et montre des resultats prometteurs, avec le succes de la modelisation des deux maxima.Des mesures repetees montrent de legeres variations de resistivite apparentes et des variations des ondes P. Les variations des ondes S ne sont pas prononces, ce qui reflete un changement de la saturation en eau. La porosite de 10-15% est estime a partir des mesures sismiques.
Informing dugong conservation at several spatial and temporal scales in New Caledonia

Comprehensive, up-to-date spatial information on species distributions and threatening processes can enhance the identification of sites for conservation and management action. Such information is often incomplete or simply unavailable at a scale that can inform real-world decision making because the cost and capacity needed for collecting reliable information are high especially when targeting species that occupy large ranges. Obtaining data to inform conservation at the appropriate spatial scale is of particular importance for species that occupy large ranges. The dugong (Dugong dugon) is a seagrass specialist and marine mammal that occurs over 130,000 km of coastline in the Indo-West-Pacific. The dugong attracts global conservation attention because it is listed as vulnerable (IUCN Red List) and is increasingly exposed to multiple anthropogenic hazards in most of its range. There are many regions within the dugong’s range where the likelihood of survival of the species is unknown. Collecting spatial-ecological information on the dugong in these regions can inform and optimize the effectiveness of regional and national conservation and management initiatives. The island-archipelago of New Caledonia is located in the Oceania region at the eastern edge of the dugong’s range. The conservation status of the dugong in this region is unknown. The presence of the charismatic dugong in the lagoons of New Caledonia was an explicit reason for the World Heritage listing of some of the lagoons. No conservation actions have been implemented in New Caledonia to ensure the maintenance of the dugong stock except for the legislation that restricts dugong harvesting despite the species’ high biodiversity, cultural and traditional value.
The intertidal ecosystem: the value of Ireland’s shores

The goods and services provided by coastal systems and the natural capital stocks that produce them are critical to the functioning of the earth’s life support systems. They also contribute significantly to human welfare, both directly and indirectly, and therefore represent a significant portion of the total economic value of the global environment. Coastal systems including estuaries, coastal wetlands, river deltas and coastal shelves are particularly rich in ecosystem goods and services. They provide a wide range of highly valued resources including fisheries, open spaces, wildlife habitat, nutrient cycling, and recreational opportunities. In this paper, we present a conceptual framework for the assessment and valuation of goods and services provided by coastal systems. First, we elucidate a formal system based on functional diversity for classifying and valuing coastal ecosystem services, emphasizing that no single ecological or economic methodology can capture the total value of these complex systems. Second, we demonstrate the process of ecosystem service valuation using a series of economic case studies and examples drawn from peer-reviewed literature. We conclude with observations on the future of coastal ecosystem service valuation and its potential role in the science and management of coastal zone resources. 2 The Intertidal Ecosystem
Crowdsourced Photographs as an Effective Method for Large-Scale Passive Tick Surveillance

Abstract As tick vector ranges expand and the number of tickborne disease cases rise, physicians, veterinarians, and the public are faced with diagnostic, treatment, and prevention challenges. Traditional methods of active surveillance (e.g., flagging) can be time-consuming, spatially limited, and costly, while passive surveillance can broadly monitor tick distributions and infection rates. However, laboratory testing can require service fees in addition to mailing and processing time, which can put a tick-bite victim outside the window of potential prophylactic options or under unnecessary antibiotic administration. We performed a retrospective analysis of a national photograph-based crowdsourced tick surveillance system to determine the accuracy of identifying ticks by photograph when compared to those same ticks identified by microscopy and molecular methods at a tick testing laboratory. Ticks identified by photograph were correct to species with an overall accuracy of 96.7% (CI: 0.9522, 0.9781; P < 0.001), while identification accuracy for Ixodes scapularis Say (Ixodida: Ixodidae), Amblyomma americanum Linnaeus (Ixodida: Ixodidae), and Dermacentor variabilis Say (Ixodida: Ixodidae), three ticks of medical importance, was 98.2% (Cohen's kappa [κ] = 0.9575; 95% CI: 0.9698, 0.9897), 98.8% (κ = 0.9466, 95% CI: 0.9776, 0.9941), and 98.8% (κ = 0.9515, 95% CI: 0.9776, 0.9941), respectively. Fitted generalized linear models revealed that tick species and stage were the most significant predictive factors that contributed to correct photograph-based tick identifications. Neither engorgement, season, nor location of submission affected identification ability. These results provide strong support for the utility of photograph-based tick surveillance as a tool for risk assessment and monitoring among commonly encountered ticks of medical concern.
Therapies for the Treatment of Advanced/Metastatic Estrogen Receptor-Positive Breast Cancer: Current Situation and Future Directions

Simple Summary The estrogen receptor (ER) plays a critical role in the initiation and progression of breast cancer. Utilizing specialized therapies aimed at the ER has been effective in many instances and is commonly employed in breast cancer treatment protocols. The selection of therapy depends on multiple factors, including the menopausal status, breast cancer stage, and unique tumor attributes. These therapies can function independently as monotherapy, or in conjunction or sequential alignment with other treatments, based on the distinct characteristics of the breast cancer and the patient’s overall health. Furthermore, current research endeavors are focused on producing newer and more precise therapies for breast cancer, which include strategies to combat resistance mechanisms. The objective of this review is to provide a snapshot of the existing landscape and sketch out future paths for the progression of HR+ breast cancer treatments currently under clinical development. Abstract The hormone receptor-positive (HR+) type is the most frequently identified subtype of breast cancer. HR+ breast cancer has a more positive prognosis when compared to other subtypes, such as human epidermal growth factor protein 2-positive disorder and triple-negative disease. The advancement in treatment outcomes for advanced HR+ breast cancer has been considerably elevated due to the discovery of cyclin-dependent kinase 4/6 inhibitors and their combination effects with endocrine therapy. However, despite the considerable effectiveness of tamoxifen, a selective estrogen receptor modulator (SERMs), and aromatase inhibitors (AI), the issue of treatment resistance still presents a significant challenge for HR+ breast cancer. As a result, there is a focus on exploring new therapeutic strategies such as targeted protein degradation and covalent inhibition for targeting ERα. This article discusses the latest progress in treatments like oral selective ER degraders (SERDs), complete estrogen receptor antagonists (CERANs), selective estrogen receptor covalent antagonists (SERCAs), proteolysis targeting chimera (PROTAC) degraders, and combinations of CDK4/6 inhibitors with endocrine therapy. The focus is specifically on those compounds that have transitioned into phases of clinical development.
Machine Learning Experiment Management Tools: A Mixed-Methods Empirical Study

Machine Learning (ML) experiment management tools support ML practitioners and software engineers when building intelligent software systems. By managing large numbers of ML experiments comprising many di ff erent ML assets, they not only facilitate engineering ML models and ML-enabled systems, but also managing their evolution—for instance, tracing system behavior to concrete experiments when the model performance drifts. However, while ML experiment management tools have become increasingly popular, little is known about their e ff ectiveness in practice, as well as their actual benefits and challenges. We present a mixed-methods empirical study of experiment management tools and the support they provide to users. First, our survey of 81 ML practitioners sought to determine the benefits and challenges of ML experiment management and of the existing tool landscape. Second, a controlled experiment with 15 student developers investigated the e ff ectiveness of ML experiment management tools. We learned that 70 % of our survey respondents perform ML experiments using specialized tools, while out of those who do not use such tools, 52 % are unaware of experiment management tools or of their benefits. The controlled experiment showed that experiment management tools o ff er valuable support to users to systematically track and retrieve ML assets. Using ML experiment management tools reduced error rates and increased completion rates. By presenting a user’s perspective on experiment management tools, and the first controlled experiment in this area, we hope that our results foster the adoption of these tools in practice, as well as they direct tool builders and researchers to improve the tool landscape overall.
Q( λ ) with Oﬀ-Policy Corrections

We propose and analyze an alternate approach to oﬀ-policy multi-step temporal diﬀerence learning, in which oﬀ-policy returns are corrected with the current Q-function in terms of rewards, rather than with the target policy in terms of transition probabilities. We prove that such approximate corrections are suﬃcient for oﬀ-policy convergence both in policy evaluation and control, provided certain conditions. These conditions relate the distance between the target and behavior policies, the eligibility trace parameter and the discount factor, and formalize an underlying tradeoﬀ in oﬀ-policy TD( λ ). We illustrate this theoretical relationship empirically on a continuous-state control task.
Roadmap for a European open science alliance for ATM research

—We here propose an open science alliance for ATM, advocating for open data in such a framework. The benefits of adopting an open science approach are to be found, inter alia , through the independent verification and validation of reported impacts/results and achieved performance levels, i.e., through reproducibility. We consider that this can only be achieved through: (1) open access to scientific methods and data utilised; (2) open access to (analytical) code and methods; (3) open review of reported analyses/research. The proper application of such practices will reduce the innovation cycles in ATM, which is much needed by industry and society. Steps for forming an open science alliance for ATM are described. We propose further initial, specific recommendations for supporting open data and improved access for research.
Analysis of the Performance of two Rangeland Protocols, Monitoring and Assessment

This study compared and contrasted data from the stick and modified Braun-Blanquet monitoring protocols in three areas with different land use histories: an unrestored barren area, a young and old restored areas. The study areas are part of extensive degraded of birch woodland and willow shrubland that have partly been re-vegetated.Vegetation and site characteristics were assessed in the three areas using the two protocols and soil sampling to characterize the ecological status of a land that has been re-vegetated. The analysis of the two protocols data indicates similar tendency which is the improvement of the ecological condition of the restored areas compared to the unrestored area. The soil carbon and nitrogen contents increased when the pH decreased with the restoration age. The improvement is better at the old restored area which has received more fertilization compared to the young restoration. Stick method estimated greater cover of vascular plants, litters, mosses and rocks, and lower amount of bare ground than modified Braun-Blanquet. The two protocols provided similar estimates cover of lichens and sedges. Stick method also provided three supplementary indicators which were not included in modified Braun-Blanquet: plants base, basal and canopy gaps. Another observation that could be proved by further studies, stick seemed to be more precise and economical than modified Braun-Blanquet. The indicators provided by the two protocols were related to the three attributes of ecosystems and the rangelands health indicators. This study is a preliminary that cannot be able to recommend one method, but it advocates stick method to assess and monitor vegetation dominated by herbaceous layer as grassland and modified Braun-Blanquet for the one dominated by woody layer.
Advances in Clinical Medical Research and Healthcare Delivery Advances in Clinical Medical Research and Healthcare Delivery

Abstract Staphylococcal toxic shock syndrome (STSS) is characterized by acute, progressive illness with fever, rapid-onset hypotension, and multisystem organ failure. The clinical course of STSS is attributable to host response to exotoxins with superantigenic properties. Fulminant staphylococcal infection is often associated with a deep focus of infection. In this report, we present a 10-year-old boy with multisystem organ failure as a result of STSS, a rare fatal complication following soft tissue injury. The rapid and fulminant progression of the disease in our patient precluded early timely diagnosis of STSS that may have allowed for the initiation of life-saving supportive intervention. Furthermore, the rapidly developing STSS occurred without an identifiable infectious source. The diagnosis of STSS was made upon the sum total of the clinical presentation, laboratory and autopsy findings, and antemortem and postmortem microbiology studies. It is crucial for health care providers to be aware of the possibility of STSS, even in the absence of overt focal infections and risk factors. A high index of suspicion for STSS should be present in critically ill patients presenting with a precipitous course of sepsis, septic shock, or systemic inflammatory response syndrome (SIRS).
Storytelling in tourism: Chinese visitors and Māori hosts in New Zealand

Abstract The study was aimed at gaining insights into how Māori tourism providers can engage with, and benefit from the growing Chinese outbound tourism industry which is of growing importance to New Zealand, through stories and storytelling. The study includes a survey of Chinese visitors, a focus group of Māori business consultants and feedback from three Māori business owners culminating in a rich and a broad range of experience and knowledge. The findings confirm that more focus needs to be aligned to the quality of the stories and how they are being delivered to the Chinese visitors. There is also a need for more variety in what is offered and how this is being delivered to these visitors. The quality of the experience is also important in reference to connecting the visitors to the Māori culture offering a range of different options. Using more technology and animation is a preference for the Chinese visitors and adapting social media into a more powerful marketing tool is also something that should explored. New Zealand as a tourism destination should provide better connections through storytelling that enhance the word of mouth of the Chinese visitors.
Experimental Schistosoma haematobium pulmonary hypertension

Abstract Whether all Schistosoma species cause pulmonary hypertension (PH) is unclear. Experimentally exposing mice to Schistosoma haematobium eggs caused PH, which was less severe than that induced by S. mansoni exposure. These findings align with the relatively uncommon reports of pulmonary arterial hypertension associated with S. haematobium.