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The article reports on the author's initiative to design and share fun, paper-based math games for diverse age groups, utilizing tools like LibreOffice Calc, and details the evolution of the Pairs Math Game, its varied versions, and potential uses in educational and community settings. The author also emphasizes promoting playful conversations about numbers and fostering a sense of agency in students to invent their math questions.

Copyright of Nuova Secondaria is the property of Edizioni Studium S.r.l and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Nuova Secondaria is the property of Edizioni Studium S.r.l and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Nuova Secondaria is the property of Edizioni Studium S.r.l and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The article discusses the discovery of a new shape called the "hat" in mathematics, which has led to further discoveries and deepened the understanding of tiling theory. The researchers used computer software to study the hat and found recurring patterns that hinted at a possible substitution system for proving its aperiodicity. They also discovered related shapes called the "turtle" and "Tile(a,b)" that are all aperiodic monotiles. The discovery of these shapes has generated excitement and inspired artists, designers, and puzzle creators. The authors hope that their work will stimulate further research and encourage others to explore mathematics. [Extracted from the article]

Researchers from Abu Dhabi University have conducted a study on stress corrosion cracking (SCC) under harsh environmental conditions. The study highlights the challenges in accurately predicting material degradation and remaining service life due to the complex interplay of mechanical, chemical, and electrochemical factors. The researchers emphasize the need for comprehensive review papers that consolidate current knowledge and advancements in prognosis methods. The paper covers various prognosis methods, including non-destructive testing, electrochemical techniques, numerical modeling, and machine learning. The study aims to serve as a valuable resource for researchers and practitioners working in the field to develop effective strategies for mitigating SCC and ensuring material integrity in challenging environments. [Extracted from the article]

This article from the journal "Ask" discusses the concept of coloring maps in order to ensure that no two neighboring areas are the same color. The article explains that for a simple map with three areas surrounding a fourth, four colors are needed. It goes on to state that the same principle applies to more complex maps, such as the map of the United States and South America. The article concludes by mentioning that mathematicians have proven that four colors are always sufficient to color any map on a flat sheet of paper. [Extracted from the article]

A new report from the University of Oxford discusses the role of mathematics in ecological research. The researcher argues that mathematics has been separate from advances in the environmental social sciences and humanities, and proposes the concept of "ecological mathematics" which emphasizes relationships, embodiment, and human difference. The paper explores the historical emergence of mathematics in ecology and cultural factors shaping mathematical thought. The researcher suggests employing mathematical techniques that enliven ecological studies rather than deaden them, and concludes with philosophical clarifications to the approach of ecological mathematics. [Extracted from the article]

A recent study from the Department of Mathematics explores the use of combinatorial group testing as a method for efficiently testing individuals for diseases like COVID-19. The researchers propose the use of separating systems, which are subsets of a finite set that allow for the separation of individual elements. The study presents a method for constructing small separating systems on large sets, which can save time and money. This research provides valuable insights into the potential application of combinatorial group testing in disease testing. [Extracted from the article]

A review paper from the Department of Chemical Engineering in Lar, Iran, discusses the current state of modeling the transport and margination of micro-/nanoparticles in blood vessels for targeted drug delivery. The review examines single-particle and multi-particle models, considering factors such as geometry, particle properties, blood flow, and mathematical modeling approach. The findings of this review can provide insights for researchers working on more effective drug delivery strategies. The research was supported by the University of Larestan, Isfahan University of Technology, and Shiraz University. [Extracted from the article]

Researchers at Bu Ali Sina University in Hamadan, Iran have proposed a computational approach for modeling the spread of epidemics over time and geographical regions. The method utilizes a selective approach that employs a limited number of nodes, resulting in computational efficiency and suitability for computers with limited memory capacity. The researchers provide error estimation and convergence rate analysis to demonstrate the effectiveness and efficiency of the approach. The study has been peer-reviewed and published in Engineering With Computers. [Extracted from the article]

A preprint abstract from biorxiv.org discusses the replication-mutation dynamics in coronaviruses. The paper focuses on the unique characteristics of coronaviruses, such as their high mutation rates and the presence of an enzyme called exoribonuclease (ExoN) that corrects errors in replication. The study analyzes different virus replication modes and their impact on virus populations, including extinction, mutant-only, and quasispecies steady states. Additionally, the effects of antiviral treatment with replication inhibitors and mutagenic drugs are modeled. It is important to note that this preprint has not yet undergone peer review. [Extracted from the article]

Harvard scientists, in collaboration with an international team of researchers, have conducted a study on how fractures start, propagate, and stop. Their findings, published in Nature Physics and AGU Advances, provide a deeper understanding of fractures and their implications for material science, earthquakes, and the production of geothermal energy, oil, and gas. The research team used experiments and numerical modeling to study fractures in three dimensions and found that fractures move in starts and stops, propagating through a material in a dynamic process. They also discovered that hydraulic fractures play a major role in the generation of tectonic tremors. This study contributes to the fields of material sciences and earthquake sciences and provides valuable insights into fracture dynamics. [Extracted from the article]

A recent study conducted by researchers at the University of Exeter in the United Kingdom explores the complex nature of psoriasis, a genetic disease that affects the skin and joints. The study introduces a mathematical model for psoriasis, incorporating the effects of immune-boosting drugs. The researchers found that the model suggests that these drugs may be an effective treatment for psoriasis. The study highlights the potential of therapeutic approaches and may inform future clinical trials. [Extracted from the article]

A recent report from researchers at Tashkent University of Information Technologies discusses the use of mathematical methods in the diagnosis of breast diseases. The paper highlights the importance of early detection in improving patient outcomes and examines various mathematical approaches, including artificial intelligence, machine learning, and statistical modeling. The strengths, limitations, and potential impact of these methods on clinical practice are explored. The report also discusses the current state of research in this field and offers insights into future directions for the development and application of mathematical methods in the diagnosis of breast diseases. [Extracted from the article]

DeepMind, a research division of Alphabet Inc., has made a significant advancement in artificial intelligence (AI) by developing a system called AlphaGeometry that can solve complex geometry theorems better than previous computer programs. This breakthrough demonstrates the ability of AI to apply reasoning and planning to tasks, which is crucial for the development of artificial general intelligence (AGI). DeepMind created its own dataset of 100 million unique examples of geometric constructs to train AlphaGeometry, as there is not enough available data for AI systems to learn on their own. While the system is not immediately incorporated into Google's AI model Gemini, it could potentially be used as a mathematics tutor in the future. DeepMind has decided to open-source AlphaGeometry, making the code and model freely available to others. [Extracted from the article]

This article discusses a simple mathematical model and physical device that can estimate the probability of a woman receiving skilled birth assistance and the potential benefits of staying in a maternity waiting home. The model takes into account factors such as parity and anticipated time to access skilled care. The tool is intended to facilitate informed discussions and decision-making during antenatal consultations. It is important to note that this research has not yet undergone peer review. [Extracted from the article]

A study conducted by researchers at Capital Medical University in Beijing, China, explores the relationship between abnormal lipid metabolism and tumor development. The study used a combination of mathematical modeling and data analysis techniques to examine the current state of research in this area. The results showed a significant increase in the number of studies related to oncology and abnormal lipid metabolism, providing new insights for cancer prevention, diagnosis, treatment, and mechanism. The study aims to promote further research and development in these fields. [Extracted from the article]

A preprint abstract from biorxiv.org discusses a mathematical model for pancreatic cancer during intraepithelial neoplasia. The model focuses on the low-grade dysplasia (PanIN 1) and moderate dysplasia (PanIN 2) stages of pancreatic adenocarcinoma. It analyzes the cellular microenvironment through elastic cell interactions and intercellular communication mechanisms, such as growth factors and cytokines. The study suggests that the oncogene RAS may be an important target for developing anti-inflammatory strategies to limit the emergence of more aggressive adenocarcinomas. However, it is important to note that this preprint has not been peer-reviewed. [Extracted from the article]

A recent study conducted by researchers at Handan University in China addresses the issue of locating cross-dock terminals in urban areas. The study introduces a new model, called CI-DEA-IDOCRIW-MABAC, for selecting the optimal location of these terminals. The model considers various factors such as the number of users, area served, average distance traveled by vehicles, labor availability, competition, and proximity to infrastructure and traffic facilities. The results of a case study analyzing nine distribution channels in an urban zone indicated that the southwest area was the best location for the terminal. The study provides valuable scientific contributions and was confirmed to be accurate by company management. [Extracted from the article]

The article explores the relationship between mathematics education and humanity, with a focus on the efforts of the International Commission on Mathematical Instruction (ICMI). The ICMI recognizes the significance of mathematics education in addressing societal challenges and promoting sustainable development. The article provides evidence of this relationship through various initiatives, such as the International Congress on Mathematical Education, ICMI Study 27, and the Felix Klein Medals awarded to Professors Ubiratan D'Ambrosio and Alan Bishop. Additionally, the article mentions the International Mathematics Union's interest in mathematics for humanity and sustainable development. The ICMI's work aligns with the goal of inclusive mathematics education for all learners, considering social, cultural, and historical contexts. The text also highlights the Capacity and Network Project (CANP), which supports the enhancement of mathematics education in developing regions while respecting local knowledge and experiences. [Extracted from the article]

A team of researchers from Google DeepMind and New York University has developed an artificial intelligence (AI) program called AlphaGeometry that can solve geometry problems from the International Mathematical Olympiad (IMO) with a success rate similar to human gold medalists. The AI program uses deductive algorithms and large language models to generate new proof terms and auxiliary objects to aid in problem-solving. AlphaGeometry outperformed most IMO participants, solving 25 out of 30 problems, and even discovered a more general theorem that had previously been overlooked by experts. While the AI cannot currently compete in the IMO, the researchers believe their approach could be applied to other mathematical subdisciplines in the future. [Extracted from the article]

A recent study conducted by the University of the South Pacific in Suva, Fiji, explores the challenges faced by first-year mathematics students in the Pacific region during emergency remote teaching (ERT) caused by the COVID-19 pandemic. The researchers developed a taxonomy of challenges based on a list of 44 challenges compiled from monitoring reports, literature reviews, and personal experiences. The taxonomy includes seven challenges, such as lack of online learning support, problems with online course delivery, time and workload management, learning management system issues, lack of face-to-face interaction, financial hardship, and internet challenges. This taxonomy can be valuable for designing and evaluating ERT approaches. [Extracted from the article]

A recent report from Universiti Malaya discusses research on cancer treatment using optimal control supported by swarm intelligence. The study aims to develop hybrid techniques that combine optimal control theory with evolutionary algorithms and multi-objective swarm algorithms to reduce cancerous cells while minimizing the use of chemotherapy medications and toxicity. Two hybrid techniques were proposed and evaluated, with MOEA/D emerging as the most effective algorithm in reducing tumor size and cancer drug concentration. The study highlights the importance of integrating optimal control theory and evolutionary algorithms for optimizing cancer chemotherapy treatment. [Extracted from the article]

Researchers from the University of Tehran have developed a mathematical model to address the challenges faced in the dental prosthetics supply chain. The model focuses on integrated production and distribution scheduling in a fixed denture supply chain operating under an additive manufacturing environment. The objective of the model is to minimize production and distribution costs while reducing delays. The researchers conducted a case study to validate the model and found substantial improvements in total costs and customer satisfaction levels. Future research could explore uncertainty in input data and develop efficient algorithms for solving larger-scale instances. [Extracted from the article]

A recent study conducted by researchers at the Universidad de Malaga in Spain explores the distribution characteristics of Fourier, discrete cosine, and discrete sine transform coefficients in T1 MRI images. The study reveals that these coefficients adhere to Benford's law, which is characterized by a logarithmic distribution of first digits. The researchers propose a novel methodology for noise level estimation in MRI scans, employing various metrics and supervised learning techniques. The findings support the application of Benford's law in denoising algorithms and contribute to advancements in image quality assessment. [Extracted from the article]

A recent study from the University of Paris Saclay explores the use of identifiability analysis in the field of animal science. Identifiability analysis is a mathematical tool that helps determine if unique values of model parameters can be recovered from experimental data. The researchers propose adopting an upstream approach, integrating identifiability analysis before data collection, to improve the accuracy and robustness of predictive models. They emphasize the availability of freely accessible software tools that make identifiability analysis more accessible to practitioners in the field. The study concludes that the modeling community in animal science can easily incorporate identifiability analysis into their model development process. [Extracted from the article]

The article delves into the life of Sophie Germain, a mathematician from the 18th century, highlighting her perseverance in pursuing mathematics despite societal barriers against women in science. It narrates her struggle to access education, her correspondence with prominent mathematicians, and her significant contributions, including the introduction of Sophie Germain primes.

A study conducted by researchers at Guangxi University for Nationalities in Nanning, China, has developed a new algorithm called the elite opposition-based bare bones mayfly algorithm (EOBBMA) to optimize wireless sensor networks (WSNs) coverage. WSNs are composed of sensor nodes that monitor environmental conditions and collect data. The EOBBMA algorithm aims to maximize coverage area, minimize redundant area, and minimize moving distance. Experimental results showed that the coverage rate of the sensor deployment scheme obtained by EOBBMA was over 85%, with the highest coverage reaching 99.6%. The research concluded that EOBBMA outperformed other algorithms in terms of WSNs coverage problem. [Extracted from the article]

Researchers at Khwaja Fareed University of Engineering and Information Technology in Pakistan have conducted a mathematical study on polycystic ovarian syndrome (PCOS) and its impact on infertility in women. PCOS is a common endocrine illness among women of reproductive age and is associated with various health risks such as cardiovascular disease, diabetes, obesity, and psychiatric disorders. The researchers developed a fractional order model for PCOS and analyzed its stability. They also explored the influence of different parameters on the impact of the disease on women. This study provides valuable insights into the treatment mechanism for infertility in women with PCOS. [Extracted from the article]

This article provides information on a clinical trial comparing the effectiveness of Laser Assisted New Attachment Procedure (LANAP) to conventional scaling and root planing in treating stage II periodontitis. The trial aims to assess the microbiological and clinical outcomes of LANAP using different types of lasers. The primary measures include evaluating specific bacteria in plaque biofilm, as well as assessing gingival index, plaque index, clinical attachment loss, and probing depth. The trial is currently ongoing and is expected to be completed by May 31, 2024. Additionally, the article describes the LANAP procedure, which involves using a laser fiber optic to access deep periodontal pockets and remove calculus. The LANAP protocol also includes scaling and root planing using ultrasonic devices. The study is currently recruiting participants in Egypt and is expected to be completed in May 2024. [Extracted from the article]

A recent study conducted by researchers at Yunnan Minzu University in China has focused on the transmission and control of hepatitis E virus (HEV). The researchers constructed a dynamic model of HEV using the Caputo fractional derivative and analyzed its properties. They proposed control measures based on fractional optimal control (FOC) and used particle swarm optimization to optimize the control function. The study found that the optimal strategy reduced the control time for HEV by nearly 60 days compared to no control. This research contributes to the understanding of HEV transmission dynamics and control mechanisms, which is important for global public health. [Extracted from the article]

Researchers from Polytechnic University Milan have published a report on the topic of mathematics, specifically focusing on harmonic and polyanalytic functional calculi for unbounded operators. The study explores the definitions of these calculi and their applications in the context of slice hyperholomorphic functions and the Laplace operator. The research aims to extend these functional calculi to unbounded operators and establish their properties. This research area connects various fields such as operator theory, harmonic analysis, and hypercomplex analysis. The study has been peer-reviewed and published in the Banach Journal of Mathematical Analysis. [Extracted from the article]

A study conducted by investigators at the Rochester Institute for Technology explores the relationship between obesity and type 2 diabetes. The researchers argue that current models of obesity-induced type 2 diabetes do not accurately account for the transport of glucose between the blood and the liver. To address this, they develop a mathematical model that includes this mechanism and use it to evaluate the effectiveness of an anti-diabetic weight reducing drug. The research has been peer-reviewed and provides valuable insights into the understanding and treatment of type 2 diabetes. [Extracted from the article]

Researchers at Chiang Mai University in Thailand have developed a new mathematical algorithm for image deblurring and predicting diabetes mellitus. The algorithm uses two inertial terms to accelerate convergence speed and includes a linesearch rule for split variational inclusion in real Hilbert spaces. The research has been peer-reviewed and published in the Carpathian Journal of Mathematics. This study was funded by Chiang Mai University, CMU Proactive Researcher, Thailand Science Research and Innovation Fund, and the University of Phayao. [Extracted from the article]

A recent study conducted by researchers at the University of Michoacana in Mexico has developed a stochastic mathematical model for fumigation policies to reduce mosquito-borne diseases. The model takes into account multiple scenarios and uses a Pareto solution method to select optimal solutions that balance the expected number of infected people and the cost of applying insecticides. The research aims to improve current practices by considering optimal scheduling alternatives that minimize cost while ensuring the health and comfort of the population. This study has been peer-reviewed and provides valuable insights into minimizing the risk of mosquito-borne diseases through an intensified fumigation approach. [Extracted from the article]

A recent study conducted by researchers at Hebei University of Technology in Tianjin, China, addresses the problem of home health care routing and scheduling in a pandemic environment. The study focuses on assigning caregivers to patients and optimizing caregiver routes while minimizing travel costs, workload differences, and negative patient preferences. The researchers propose a customized algorithm called AMOALNS, which combines archived multi-objective simulated annealing with adaptive large neighborhood search. The algorithm generates new solutions iteratively and employs a multi-objective optimization framework. The study concludes that minimizing travel costs is the most challenging objective, while optimizing workload balancing is worthwhile. Sensitivity analyses show that time windows classifications and instance sizes significantly impact the compromising solutions. [Extracted from the article]

A research study conducted at the College of Engineering and Technology in Tamil Nadu, India has developed a knowledge-based recommender system for disease diagnosis and treatment using adaptive fuzzy-blocks. The system aims to assist healthcare practitioners in making decisions by analyzing health parameters from a patient's medical record. The system utilizes parallel discrete fuzzy rule-based classifier systems to provide recommended sub-outcomes of medical conditions, and a knowledge-based combiner unit to extract relationships between these sub-outcomes for holistic outcomes and solutions. The research demonstrates that the system shows excellent correlation with expert assessments. [Extracted from the article]

A recent research study conducted by the Faculty of Mathematics and Statistics in Isfahan, Iran, explores the estimation of the mean residual lifetime (MRL) in epidemiology. The researchers propose a new MRL estimator using ranked set sampling (RSS) that assumes the MRL function is a decreasing function over time. The study demonstrates that this estimator is strongly uniformly consistent and provides more accurate estimates for the average remaining lifetime of breast cancer patients. The research findings are published in The International Journal of Biostatistics and can be accessed for free. [Extracted from the article]

Researchers from Middle Tennessee State University have developed a mathematical model to study the growth of solid tumors. The model focuses on the role of the stroma, the interface between healthy and cancerous tissue, in cancer invasion. By using ordinary differential equations, the researchers investigate how the coordinated expansion of the tumor growth region and core can impact overall tumor growth dynamics. The model's assumptions are evaluated through comparison to tumor volume data and existing models. This research has been peer-reviewed and provides valuable insights into tumor growth. [Extracted from the article]