Treasure Map Research Articles

The play in research and the research in play: a participatory treasure map experience project

ABSTRACT This article recounts the changes that occurred when a research study was redesigned to become more participatory, involving children, teachers, families, and the wider symbolic cultural neighbourhood. What emerged was a research study that was integrated into the curriculum of a four-year-old classroom. Here, the process is specifically examined through which curriculum emerged when the research project called the Treasure Map Experience (TME) was embedded into the weekly curriculum of a four-year-old classroom. In recounting this process, it became evident that the emergent early childhood curriculum included tenets of Developmental Education, notably the two most prevalent instructional practices of shared direct instruction and environmental exposure, which correlate with Vygotsky’s spontaneous/everyday and scientific concept acquisition. Moreover, the inclusion of numerous technical and psychological tools is noted as they appear in the emergent Treasure Map Curriculum. Based on the idea that child development occurs as a result of a sociocultural process where a child appropriates cultural tools within relationships and interactions with adults and ‘more knowledgeable others’, the emergent curriculum serves as an example of Developmental Education. Further, the research study informs the development of the curriculum at the same time that the curriculum informs the direction and findings of the study.

LEARNING ACADEMIC WRITING IN THE AGE OF AI THROUGH PATTERNING CHATGPT PROMPTED TEXTS: THE HARE VS. THE TORTOISE

The quill is dead; long live AI. Generative AI writing tools or what is commonly known as GAI or GenAI are becoming the students’ best friends. Today, they are largely used -and abused- by students and surprisingly even researchers looking for the “perfect” text. Patterning GenAI content like ChatGPT is still an unexplored avenue. From this perspective, this paper tries to provide structured guidance for struggling post millennial learners. After asking ChatGPT to generate academic texts, a content analysis was conducted to unlock ChatGPT seemingly “perfect” writing style. The results of the research uncovered a series of decoded patterns that offers a treasure map and an academic journey to GenAI minds. Furthermore, this showed that (over) relying on GenAI machines or competing with them is simply counter-productive. Therefore, leaning WITH them is technically possible. Imagine for a second the great potential of such cooperation human - machine. Speed allied with imagination. Why not? Moving from a prohibitive approach to an inclusive one through learning with AI chatbots might be a solution.

Crafting Your Leadership Legacy: A Template

Most of us want our work to have mattered and to make lasting contributions that outlive us. This article urges healthcare administrators, leaders, and managers to clarify their legacy aspirations and to articulate them in a concise leadership legacy statement. It provides readers with seven effective strategies for developing a legacy mindset and a 25-question True/False quiz for assessing their strengths and weaknesses in planning their intended legacies. It also offers readers a template to guide their legacy thinking and nine practical tips for using the template most effectively. This article then suggests how leaders can use their legacy statements to guide their leadership and urges them to create and use legacy treasure maps and conduct annual legacy statement audits. It also suggests four ways that healthcare leaders can work collaboratively to achieve their intended legacies. Finally, this article provides a sample leadership legacy statement to serve as inspiration for legacy-minded healthcare leaders.

Glacial Isostatic Adjustment modelling of the mid-Holocene sea-level highstand of Singapore and Southeast Asia

The mid-Holocene sea-level highstand refers to higher-than-present relative sea levels (RSLs) in far-field regions between 7000 and 4000 years ago because of equatorial ocean syphoning and continental levering. But the timing, magnitude, and spatial variability of the highstand are uncertain and the highstand parameterization in Glacial Isostatic Adjustment (GIA) modelling is understudied. Here, we use the RSL records of Southeast Asia to investigate the sensitivity of the mid-Holocene highstand properties to Earth and ice model parameters, including lithospheric thickness, mantle viscosity (both 1D and 3D), and deglaciation history of Antarctica and global ice sheets. We found that the Earth model variation only affects the magnitude of the mid-Holocene highstand unless extraordinary low upper mantle viscosity is used. The timing of the highstand moves towards present and there is an absence of the highstand if upper mantle viscosity is < 4.0 × 1019 Pa s or ≤ 1.0 × 1019 Pa s, respectively. Ice model variation changes both the timing and magnitude of the mid-Holocene highstand. Delaying the ice-equivalent sea level will shift the timing of the highstand later and result in a lower highstand magnitude. We produced a mid-Holocene highstand “treasure map” that considers topography change and accommodation space to guide future RSL data collection efforts in Southeast Asia. The highstand “treasure map” indicates that the northeast and central west coast of Malay-Thai Peninsula, east coast of Sumatra, north coast of Java, and southwest coast of Borneo are very likely (90% probability) to preserve mid-Holocene highstand evidence.

Atomic stiffness for bulk modulus prediction and high-throughput screening of ultraincompressible crystals

Determining bulk moduli is central to high-throughput screening of ultraincompressible materials. However, existing approaches are either too inaccurate or too expensive for general applications, or they are limited to narrow chemistries. Here we define a microscopic quantity to measure the atomic stiffness for each element in the periodic table. Based on this quantity, we derive an analytic formula for bulk modulus prediction. By analyzing numerous crystals from first-principles calculations, this formula shows superior accuracy, efficiency, universality, and interpretability compared to previous empirical/semiempirical formulae and machine learning models. Directed by our formula predictions and verified by first-principles calculations, 47 ultraincompressible crystals rivaling diamond are identified from over one million material candidates, which extends the family of known ultraincompressible crystals. Finally, treasure maps of possible elemental combinations for ultraincompressible crystals are created from our theory. This theory and insights provide guidelines for designing and discovering ultraincompressible crystals of the future.

"Plan chunking" expands 3-year-olds' ability to complete multiple-step plans.

The ability to use knowledge to guide the completion of goals is a critical cognitive skill, but 3-year-olds struggle to complete goals that require multiple steps. This study asked whether 3-year-olds could benefit from "plan chunking" to complete multistep goals. Thirty-two U.S. children (range = 35.75-46.59 months; 18 girls; 9 white, 3 mixed race, 20 unknown; tested between July 2020 and April 2021) were asked to complete "treasure maps," retrieving four colored map pieces by pressing specific buttons on a "rainbow box." Children completed more of the four-step sequence correctly when the steps were presented in a way that encouraged chunking the steps into pairs. These findings suggest a potential mechanism supporting memory-guided planning abilities in early childhood.

Doping by Design: Enhanced Thermoelectric Performance of GeSe Alloys Through Metavalent Bonding.

Doping is usually the first step to tailor thermoelectrics. It enables precise control of the charge-carrier concentration and concomitant transport properties. Doping should also turn GeSe, which features an intrinsically a low carrier concentration, into a competitive thermoelectric. Yet, elemental doping fails to improve the carrier concentration. In contrast, alloying with Ag-V-VI2 compounds causes a remarkable enhancement of thermoelectric performance. This advance is closely related to a transition in the bonding mechanism, as evidenced by sudden changes in the optical dielectric constant ε∞ , the Born effective charge, the maximum of the optical absorption ε2 (ω), and the bond-breaking behavior. These property changes are indicative of the formation of metavalent bonding (MVB), leading to an octahedral-like atomic arrangement. MVB is accompanied by a thermoelectric-favorable band structure featuring anisotropic bands with small effective masses and a large degeneracy. A quantum-mechanical map, which distinguishes different types of chemical bonding, reveals that orthorhombic GeSe employs covalent bonding, while rhombohedral and cubic GeSe utilize MVB. The transition from covalent to MVB goes along with a pronounced improvement in thermoelectric performance. The failure or success of different dopants can be explained by this concept, which redefines doping rules and provides a "treasure map" to tailor p-bonded chalcogenides.

“Treasure Maps: Cartography in the Hands of the Virginia Company and the East India Company, 1600-1625”

“Treasure Maps: Cartography in the Hands of the Virginia Company and the East India Company, 1600-1625”

Treasure Maps for Detections of Extreme Energy Cosmic Rays

The origin of ultra-high-energy cosmic rays is a 60 yr old mystery. We show that with more events at the highest energies (above 150 EeV) it may be possible to limit the character of the sources and learn about the intervening magnetic fields. Individual sources become more prominent, relative to the background, as the horizon diminishes. An event-by-event, composition-dependent observatory would allow a “tomography” of the sources as different mass and energy groups probe different GZK horizons. A major goal here is to provide a methodology to distinguish between steady and transient or highly variable sources. Using recent Galactic magnetic field models, we calculate “treasure” sky maps to identify the most promising directions for detecting Extreme Energy Cosmic Rays doublets, events that are close in arrival time and direction. On this basis, we predict the incidence of doublets as a function of the nature of the source host galaxy. Based on the asymmetry in the distribution of time delays, we show that observation of doublets might distinguish source models. In particular, the Telescope Array hotspot could exhibit temporal variability as it is in a “magnetic window” of small time delays. These considerations could improve the use of data with existing facilities and the planning of future ones such as Global Cosmic Ray Observatory (GCOS).

Cinematographic ecosystem of the city and transfer with new technologies.

Who hasn’t ever toured a treasure map? Even, many will have drawn it, incorporating data, information, references of the territory, keys, in short, to follow a route. Every treasure map was drawn by someone whose intention was to transfer the route to someone else to reach the final treasure through an informational procedure that today we would call geolocation.We are currently developing a computer application for mobile (App), which will be operational in July 2022, so that, in individual or group visit, you can practice screen tourism, using geolocation systems, and discover the Cinematographic Ecosystem of our city, Valladolid, where cinemas, many already disappeared, and films shot there interweave a history of material and immaterial culture powerful linked to cinema.We have produced the necessary information for this (texts, plans, maps, renders, infographics, edits, story-telling, image retrieval, movies fragments) to feed the database, which we have called FilmcityDB, which will support the App, which we have called CineMAPP. The user experience of the possible routes of this ecosystem will allow access and enjoy the cinematographic history of the city of the last century and face some reflections on cinema, media and new technologies, such as the relationships between the physical and the virtual, the understanding of time and the dialogue between past and present, the immaterial culture and the new technologies and the reactivation of the past through new practices from the cinema and the digital technology.

The global distribution of known and undiscovered ant biodiversity.

Invertebrates constitute the majority of animal species and are critical for ecosystem functioning and services. Nonetheless, global invertebrate biodiversity patterns and their congruences with vertebrates remain largely unknown. We resolve the first high-resolution (~20-km) global diversity map for a major invertebrate clade, ants, using biodiversity informatics, range modeling, and machine learning to synthesize existing knowledge and predict the distribution of undiscovered diversity. We find that ants and different vertebrate groups have distinct features in their patterns of richness and rarity, underscoring the need to consider a diversity of taxa in conservation. However, despite their phylogenetic and physiological divergence, ant distributions are not highly anomalous relative to variation among vertebrate clades. Furthermore, our models predict that rarity centers largely overlap (78%), suggesting that general forces shape endemism patterns across taxa. This raises confidence that conservation of areas important for small-ranged vertebrates will benefit invertebrates while providing a “treasure map” to guide future discovery.

Determination of Average Coulombic Efficiency for Rechargeable Magnesium Metal Anodes in Prospective Electrolyte Solutions.

The design of electrolyte solutions that permit reversible and efficient Mg metal electrodeposition is one of the most important tasks in the development of rechargeable Mg batteries. Several types of electrolyte solutions for Mg metal anodes have been developed and explored over the last two decades. These investigations have contributed to a better understanding of the Mg deposition and stripping processes. However, the Coulombic efficiency (CE) for reversible electrodeposition reported for these various systems and their performance in comparison to one another remained unclear. We used rigorous electrochemical methods to accurately quantify the average CE of the major electrolyte solutions considered for secondary Mg metal batteries. We demonstrated how changes in the experiential protocols influence CE measurements, resulting in inconsistent reports. Even though exceptional efficiency has been reported for a variety of systems, we discovered that the only candidate that currently meets the 99% CE benchmark during a prolonged cycling procedure is the dichloro-complex, which is a first-generation Grignard-based electrolyte solution. Second- and third-generation Grignard-free and chloride-free solutions showed reasonable CE only when the deposition currents densities were lowered. This comprehensive and systematic investigation will help to create a more accurate treasure map for potential electrolyte solutions for rechargeable Mg metal anodes.

The Treasure Map of the citizen childhood

Abstract. We are cartographers, trained and dedicated to our respective institutions around the world. Our cartographic works are gradually being developed, combining our multiple professional scientific and artistic skills, in the service of citizen information through the production of our maps. The performance of our works, submitted to the confidentiality of informations and data bases we process, remains invisible to public. In our complex job, confidentiality is a rule we first respect. We don’t usually explain our sophisticated manufacturing processes. Only our final result counts: THE MAP, completed, faithful to its project, editable, interpretable and memorizable at a first glance of its users.Among the Ecomuseum scientific team that was created in Battir, Palestine, after 2003, there was no cartographer. The team of young Palestinian professionals in architecture and civil engineering, just graduated, was armed with the rigour of their newly acquired knowledge, armed with their human freedom and citizen convictions. Isolated from everything they produced their collections of topographic maps from their own local survey.After the recall of its exceptional frame, this presentation aims to demonstrate how, through mapping-workshops open to everyone at the Public Library of their village, the children of Battir created their “Treasure Map” from their local proprietary geospatialized data they extend to neighbouring villages.

Use of Lean Healthcare to Improve Hospital Throughput and Reduce LOS.

Following the Pareto principle, we focused on improving the discharge process on the medical-surgical units that received the most patients admitted from the emergency department. Increased demand for medical-surgical beds, renovations, and diminished bed capacity made it imperative to improve efficiency using quality improvement techniques. A core team of frontline staff decreased the time between computer entry of discharge orders and patient's departure from the unit to less than 60 minutes, with 80% compliance. The team developed a daily dashboard that detailed the process and outcome measures to create situational awareness and daily visual management. Additional observations of staff workflow uncovered excessive walking for printer use. Printers were placed at the point of use to reduce transport times. Next, using survey results provided by patients on discharge quality, a Treasure Map that aided with teach-back and Team Discharge were implemented to level the staff's workload. Finally, physicians discharged patients earlier in the day. They standardized their discharge criteria to remove subjectivity from the discharge process and enable better team involvement. After implementing 4 interventions, the average time between computer entry of discharge orders and patient's departure from the unit decreased (94.26 versus 65.98 minutes; P < 0.001), simultaneously reducing our average length of stay from 5.62 to 4.81 days (P < 0.001). In conclusion, hardwiring proven interventions and complementing them with daily visual management led to significant, sustained results.

Algorithm design for young children

Algorithms are the essence of computational thinking, which refers to a set of problem-solving processes that help children become logical thinkers in this increasingly digital society. It is important for teachers of young children to carefully plan and implement algorithm design tasks that involve repeated step-by-step procedures to build strong foundational computational thinking skills. In this article, the authors present algorithm tasks, including following a recipe, creating a treasure map, modeling how to perform a task, and sharing a routine, which can be easily integrated in the daily activities in early childhood classrooms. Fostering young children’s aptitude for algorithm-specific thinking-and-doing processes creates a foundation for logical thinking.

The Use of Problem Based Learning Assisted by Treasure Maps to Improve Creativity and Mathematics Learning Outcomes

&lt;p&gt;&lt;em&gt;The purpose of this research is to increase the creativity and learning outcomes of students in mathematics. To achieve the goal, the researcher used Classroom Action Research which was carried out in two cycles at Harapan Bangsa Elementary School. Data analysis techniques are qualitative and quantitative descriptions. The results of the research in the first cycle of creativity which was 4 were 11 students. In cycle II the average creativity increased, namely 30 students or 100% got an average of 4. Before being given the complete learning action, it was 46% or 14 students. After being given an action using the Problem Based Learning model assisted by a treasure map in the first cycle, the learning completeness increased to 77% or 23 students. In the second cycle, classical mastery of learning increased to 80% or 24 students. The increase in creativity and student learning outcomes is due to the teacher using the Problem Based Learning model well. Based on the results of the study, it is suggested to the principal to provide training in contemporary methods.&lt;/em&gt;&lt;/p&gt;

The Rope

The Rope

Digging for gold in the archive: Artificial intelligence is the treasure map

There is gold (or at least golden nuggets) in digital archives, and unlocking that value can provide the new revenue stream that media outlets are looking for. Deployed wisely, artificial intelligence (AI) can offer the solution — it can scale quickly, it can have little to no impact on legacy workflow, and it can provide a direct line to monetisation. As this paper discusses, however, there are certain issues that must be addressed first, not least the fact that most media archives contain literally hundreds of thousands of video, image and audio files, for which metadata standards have evolved over decades. Compounding this is the lake of unused first-party data. This paper shows how AI can be used to solve the metadata issues underlying the various files in an archive and unlock the hidden value in so-called long-tail content, with minimal impact to existing work, workers and workflow.

A treasure map for nonmetallic catalysts: optimal nitrogen and fluorine distribution of biomass-derived carbon materials for high-performance oxygen reduction catalysts

The intrinsic laws of the catalytic performance and heteroatom distribution of a nonmetallic biomass-derived carbon material were revealed systematically, providing a new idea for high-throughput screening of heteroatom-doped catalysts.

Effect of Transition Metals on the Oxygen Reduction Reaction Activity at Metal‐N3/C Active Sites

The Front Cover shows an artistic depiction of a treasure map quest for unique M–N3 non-platinum-group metal fuel cell catalysts. More information can be found in the Article H. M. Fruehwald et al.