Greco-Roman meteorology will be described in four overlapping developments. In the archaic period, astro-meteorological calendars were written down, and one appears in Hesiod’s Works and Days; such calendars or almanacs originated thousands of years earlier in Mesopotamia. In the second development, also in the archaic period, the pioneers of prose writing began writing speculative naturalistic explanations of meteorological phenomena: Anaximander, followed by Heraclitus, Anaxagoras, and others. When Aristotle in the fourth century BCE mentions the ‘inquiry that all our predecessors (...) have been calling meteorology’ (338a26), he is referring to these writers. In the third development, the first two enterprises were combined: empirical data collection about meteorological phenomena began to be married to naturalistic theoretical explanation. This innovation was prompted by Democritus and synthesised in its most influential form by Aristotle. At this point more sophisticated techniques of both short-term weather forecasting and long-term speculation about global climate change were also developed. In the fourth development, the wider implications of the naturalistic explanation of meteorological phenomena were contested. The views of ‘meteorologists’ had been controversial since the archaic period because they were perceived, and sometimes intended, to displace the divine prerogatives and undermine traditional religion. These controversies intensified throughout the classical and Hellenistic periods. (shrink)

Descartes claimed that he thought he could deduce the assumptions of his Meteorology by the contents of the Discourse. He actually began the Meteorology with assumptions. The content of the Discourse, moreover, does not indicate how he deduced the assumptions of the Meteorology. We seem to be left in a precarious position. We can examine the text as it was published, independent of Descartes’ claims, which suggests that he incorporated a presumptive or hypothetical method. On the other (...) hand, we can take Descartes’ claims as our guide and search for the epistemic foundations of the Meteorology independent of the Discourse. In this paper, I will pursue the latter route. My aim is to explain why, and how, Descartes thought that he had deduced the assumptions of the Meteorology. My interest, in this case, is solely Descartes’ physical foundation for the Meteorology, in the physics and physiology that resulted in Descartes’ explanation. With this aim, I provide an interpretation of Descartes’ World where many of its conclusions serve as evidence for the assumptions of the Meteorology. I provisionally conclude that Descartes thought that his World was the epistemic foundation for his Meteorology. (shrink)

For an Aristotelian observer, the halo is a puzzling phenomenon since it is apparently sublunary, and yet perfectly circular. This paper studies Aristotle's explanation of the halo in Meteorology III 2-3 as an optical illusion, as opposed to a substantial thing (like a cloud), as was thought by his predecessors and even many successors. Aristotle's explanation follows the method of explanation of the Posterior Analytics for "subordinate" or "mixed" mathematical-physical sciences. The accompanying diagram described by Aristotle is one of (...) the earliest lettered geometrical diagrams, in particular of a terrestrial phenomenon, and versions of it can still be found in modern textbooks on meteorological optics. (shrink)

I argue that Descartes uses his method as evidence in the Discours and Les Météores. I begin by establishing there is a single method in Descartes’ works, using his meteorology as a case study. First, I hold that the method of the Regulae is best explained by two examples: one scientific, his proof of the anaclastic curve (1626), and one metaphysical, his question of the essence and scope of human knowledge (1628). Based on this account, I suggest that the (...) form of his early metaphysics (not its content) is similar to the method of doubt of the Meditationes. Second, I argue that Descartes’ explanation of the cause of parhelia (1629) likewise contains a formulation of this procedure. I provide a novel reading of Les Météores, where, following Descartes’ guidance in the Discours and Correspondance, I interpret his meteorology by reasoning from effects to causes, in this case, from Christoph Scheiner’s 1626 observation of parhelia to his meteorological foundation. This backwards orientation to Les Météores, I argue, reveals an instance of Descartes’ scientific method. I conclude with remarks on Descartes’ concept of evidentia, in which I explain how he incorporates a posteriori evidence and an apparent hypothetical foundation into his rationalist epistemology where he uses his method as evidence for his claims. (shrink)

The Catena aurea entium of Henry of Herford is part of the work of re-elaboration of Aristotle’s natural-philosophical corpus, which characterised the European intellectual environment in the Late Middle Ages. In the central books of his encyclopaedia, Henry comments on the works of natural philosophy of Albert the Great, placing himself in continuity with the cultural project started by Albert in Cologne. The present article aims to compare the 5th book of the Catena aurea entium, which consists of a comment (...) per modum quaestionis on the Meteora of Albert the Great, with some meteorological quaestiones composed between the 13th and 15th centuries. This analysis will lead me to grasp the philosophical orientations and interpretation of Henry and also his reception of Albert the Great’s meteorology. In the 5th book, Henry introduces an extensive medical section taken from the pseudo-Aristotelian Problemata, in which he applies the Galenic medical principles to meteorology. Besides, in the quaestio 105 (V 1 105), he interprets Albert through the theological-poetic explanation of ancient origins on the sacrality of the number three and an excerpt from the Liber proverbiorum. (shrink)

Drought is a critical environmental issue that affects agriculture, water resources, and ecosystems. Traditional drought monitoring methods rely on ground-based meteorological observations, which have limited spatial coverage and do not provide real-time assessments. This project aims to develop a Vegetative Drought Prediction System by integrating Vegetation Condition Index (VCI) data from the ISRO VEDAS VCI Dashboard, remote sensing indices (NDVI), meteorological drought indicators (SPI, PDSI), and machine learning algorithms (Random Forest, SVM, LSTM) to accurately detect and predict drought conditions. The (...) system utilizes VCI data from the ISRO VEDAS portal, which provides high-resolution drought monitoring for India. Additionally, satellite imagery from MODIS, Sentinel-2, and Landsat-8 is used to compute NDVI (Normalized Difference Vegetation Index) to assess vegetation health. Meteorological indices, such as the Standardized Precipitation Index (SPI) and Palmer Drought Severity Index (PDSI), are used to evaluate precipitation deficits and long-term drought trends. Machine learning models further enhance drought prediction. Random Forest (RF) and Support Vector Machine (SVM) classify drought severity based on VCI, NDVI, temperature, and rainfall data. Long Short-Term Memory (LSTM) networks analyze time-series data to forecast future drought conditions. These models are trained on historical drought records and meteorological data to improve accuracy. A web-based application is developed to visualize drought conditions, enabling users to select a region, analyze VCIbased drought indices, and receive real-time predictions. The frontend is built using HTML, CSS, and JavaScript (React.js), while the backend is implemented using Flask/Django, with PostgreSQL/MongoDB for data storage. This project provides an efficient, scalable, and cost-effective solution for drought monitoring using ISRO VEDAS VCI data, benefiting farmers, policymakers, and researchers in making informed decisions and enhancing drought preparedness. (shrink)

Can stable regularities be explained without appealing to governing laws or any other modal notion? In this paper, I consider what I will call a ‘Humean system’—a generic dynamical system without guiding laws—and assess whether it could display stable regularities. First, I present what can be interpreted as an account of the rise of stable regularities, following from Strevens [2003], which has been applied to explain the patterns of complex systems (such as those from meteorology and statistical mechanics). Second, (...) since this account presupposes that the underlying dynamics displays deterministic chaos, I assess whether it can be adapted to cases where the underlying dynamics is not chaotic but truly random—that is, cases where there is no dynamics guiding the time evolution of the system. If this is so, the resulting stable, apparently non-accidental regularities are the fruit of what can be called statistical necessity rather than of a primitive physical necessity. (shrink)

In independent renewable energy systems (RESs), one of the primary concerns needing to be addressed is the maintaining of power balances between supplies and requirements that are cost-optimized in residences linked to these systems. The amount of power generated through RESs has substantially risen, with solar and wind being the two primary sources in RESs. In modern power systems, small-scale distributed networks are growing at a rapid pace and distributed generation (DG) plays an important role. Micro grids are very recent (...) additions to electrical infrastructures. Power management is primarily required for smooth operation, maintaining consistency, and robustness, as well as controlling the actual and reactive power of independent DG. However, the batteries are expensive; moreover, during the charging and discharging process, huge amounts of power are lost, characterizing important problems which have to be averted. This paper introduces the weighted particle swarm optimization (WPSO) method for controlling energy systems and grid hybrid energy systems that comprise photovoltaic (PV), wind turbine, batteries, and diesel generators. By maximizing the power derived from RES and reducing battery power usage, energy is preserved, and the cost of energy consumption (energy of diesel) is reduced. Meteorological data from Spain were used in this study’s simulations. The method depends on the data forecast of renewable energy one day in advance and the everyday load power consumption profile. The results of the simulation show that WPSO outperforms existing algorithms in terms of energies, costs, and battery lives. (shrink)

Weather experiences are currently surprisingly under-explored and under-theorised in sociology and sport sociology, despite the importance of weather in both routine, everyday life and in recreational sporting and physical–cultural contexts. To address this lacuna, we examine here the lived experience of weather, including ‘weather work’ and ‘weather learning’, in our specific physical–cultural worlds of distance-running, triathlon and jogging in the United Kingdom. Drawing on a theoretical framework of phenomenological sociology, and the findings from five separate auto/ethnographic projects, we explore the (...) ‘weather-worlds’ and weather work involved in our physical–cultural engagement. In so doing, we address ongoing sport sociological concerns about embodiment and somatic, sensory learning and ways of knowing. We highlight how weather work provides a key example of the phenomenological conceptualisation of the mind–body–world nexus in action, with key findings delineating weather learning across the meteorological seasons that contour our British weather-related training. (shrink)

This paper presents a machine learning-based framework for real-time short-term snowfall forecasting by integrating atmospheric and topographic data. The model uses real-time meteorological data such as temperature, humidity, and pressure, along with terrain data like elevation and land cover, to predict snowfall occurrence within a 12-hour forecast window. Random Forest (RF) and Support Vector Machine (SVM) models are employed to process these multi-source inputs, demonstrating a significant improvement in prediction accuracy over traditional methods. Experimental results show that the RF model (...) achieved a root mean square error (RMSE) of 3.2 cm, while traditional regression models achieved an RMSE of 5.1 cm. The proposed framework provides a more reliable and accurate tool for real-time snowfall prediction, especially in mountainous regions, and can be deployed for operational weather forecasting applications. (shrink)

Recently there has been a somewhat surprising interest among Kantian theorists in the moral standing of animals, coupled with a no less surprising optimism among these theorists about the prospect of incorporating animal moral standing into Kantian theory without contorting its other attractive features. These theorists contend in particular that animal standing can be incorporated into Kantian moral theory without abandoning its logocentrism: the claim that everything that is valuable depends for its value on its relation to rationality. In this (...) essay I raise doubts about the prospects for accommodating animal moral standing within a logocentric Kantianism. I argue instead that the best way to incorporate animal moral standing into Kantian theory is to admit more radical departures from Kant’s position by maintaining that consciousness is a locus of moral standing independent from rationality. I propose that we should attribute moral standing to all conscious animals because the capacity of consciousness is the criterion distinguishing individuals whose well-being generates reasons from individuals whose well-being fails to do so. We need such a criterion because we speak of the well-being of things, such as artifacts and meteorological phenomena, which clearly lack moral standing. Having already argued against the Kantian view that the criterion of moral standing is rationality, I proceed to argue that consciousness is also superior to its other principal rival for the criterion of moral standing: life. On the view that emerges from this discussion, we have obligations to show concern for conscious individuals by treating their well-being as providing us with reasons for action; the view thus endorses the criterion of moral standing typically advanced by utilitarians. On this view we also have a distinct class of obligations to show respect for conscious rational individuals; the view thus endorses the Kantian claim that persons have a distinctive moral status in virtue of their possession of rational capacities. In this essay thus begin to show how a principal insight of each leading approach to modern moral theory may be captured in a unified theory. (shrink)

Abstract -/- This paper challenges the conventional rotational basis of atmospheric vortex formation (e.g. hurricanes, cyclones, tornados), proposing that prime-harmonic chirality, not angular momentum alone, governs large-scale atmospheric flow structures. By applying the CODES framework (Chirality of Dynamic Emergent Systems), we introduce a model wherein structured resonance across pressure gradients and environmental waveforms leads to coherent spiral emergence—phase-locked to prime-indexed attractor fields. Using PAS (Phase Alignment Score) and prime harmonic lattices, we offer falsifiable predictions across meteorology, fluid dynamics, and (...) planetary systems. (shrink)

In past decades, the subject atmosphere and mood has gone beyond the physio-meteorological and psychological scopes and become a new direction of aesthetics which concerns two sides of the same phenomenon. As the primary sensuous reality constructed by both the perceiving subject and the perceived object, atmosphere and mood are neither a purely subjective state nor an objective thing. Atmosphere is essentially a quasi-object pervaded by a specific affective quality and a ubiquitous phenomenon forming the foundation of our outer life (...) experiences, while mood is a quasi-subject pervaded by specific objective quality and thus a ubiquitous phenomenon forming the foundation of our inner life experiences. A practical dimension is thereby, from the outset, embedded in the consideration of both concepts. This is mainly characterized by actions and, correspondingly, ethical aspects, which concern the design and creation of atmosphere and thus the triggering of mood through works of art. Here, on the one hand, the process of artistic formation, long neglected in the European tradition, is given prominence as an aesthetic practice, and on the other hand, an interactive dialogue is effectively established between the artist, the work and the viewer. Due to the fact that atmosphere and mood, both as in-between, emphasize the interaction of the perceiver and the perceived from two sides, here the decisive question is: in what kind of environment do we live or participate and in what way do we experience it? The focus of aesthetics is now not on the conventional issue whether the environment is beautiful or gives us a sense of beauty, but on how the environment influences our feeling of being there (Befinden) through our own sensuality. Such an approach would contribute to a critical transformation in aesthetic methodology, namely from the ontological and/or epistemological what to the phenomenological and anthropological how. -/- The tension between atmosphere and mood, as revealed here, opens up a large space for exploring a new understanding of aesthetics. On this basis the special issue pursued to diversify this discussion on an international level. (shrink)

In this paper I inquire into the methodological status of one of the arguments that have figured prominently in contemporary debates about the semantics of a variety of expressions, the so-called “Binding Argument”. My inquiry is limited to the case of meteorological sentences like “It is raining”, but my conclusion can be extended to other types of sentences as well. Following Jason Stanley, I distinguish between three interpretations of the argument. My focus is on the third, weakest interpretation, according to (...) which postulating variables for locations in the logical form of meteorological sentences is the best available explanation of the binding phenomena that such sentences give rise to. My aim is to show that even in this weak interpretation, the argument cannot be reasonably taken to hold. I accomplish this by showcasing several alternative ways to account for the binding data that have not been, as of yet, ruled out as flawed. (shrink)

Hurricanes are far more than meteorological phenomena; they are public health crises with consequences that extend well beyond wind and rain. In a recent comprehensive review, Mathews, Smith, and Madrigano (2025) reveal how hurricanes in the United States (U.S.) disproportionately impact certain communities—not solely because of their geographical proximity to storms but due to deep-rooted structural vulnerabilities.

Avicenna, beside his theoretical discussions about experimentation, practically applied his experimental method to natural sciences studies such as medicine, biology, and meteorology. His theoretical discussions subsume propositions concerning the conditions under which experimental knowledge is attained, the components of this knowledge and its functions. Some of these propositions are as follows: necessity of recurrent observations for acquiring experimental knowledge, certainty plus conditional universality of such knowledge, and its role as demonstrative premises. Investigating the application of his theory in natural (...) sciences propound two new features which were not elaborated in the theoretical discussions: fallibility of experimental knowledge and necessity of systematic observation. This research, using the analytic method and referring to both philosophical and scientific works of Avicenna, clarifies that a comprehensive definition of experimentation is dependent on considering extracted points from practical application of experimental knowledge, beside its theoretical components. (shrink)

This paper focuses on weather and climate as factors affecting certain facets of human activity during the Byzantine period. Various aspects of impact that weather phenomena and climatic conditions could have upon travel, travellers and communications by land, either in short-term or in long-term context, during the Byzantine period are discussed: Were there any long-term impacts of climatic change upon communications overland? Which weather phenomena are described by the Byzantine authors as affecting people on move? What was the impact of (...) weather upon land transport and communications? Which was the concept of weather that people on the move had and how can we combine weather reports with traveller's emotional and factual reality while experiencing meteorologically induced dangers during overland travel? (shrink)

Agriculture contributes a significant amount to the economy of India due to the dependence on humanbeings for their survival. The main obstacle to food security is population expansion leading to rising demand for food. Farmers must produce more on the same land to boost the supply. Through crop yield prediction, technology can assist farmers in producing more. This paper’s primary goal is to predict crop yield utilizing the variables of rainfall, crop, meteorological conditions, area, production, and yield that have posed (...) a serious threat to the long-term viability of agriculture. Crop yield prediction is a decision-support tool that uses machine learning and deep learning that can be used to make decisions about which crops to produce and what to do in the crop’s growing season. It can decide which crops to produce and what to do in the crop’s growing season. Regardless of the distracting environment, machine learning and deep learning algorithms are utilized in crop selection to reduce agricultural yield output losses. To estimate the agricultural yield, machine learning techniques: decision tree, random forest, and XGBoost regression; deep learning techniques- convolutional neural network and long-short term memory network have been used. Accuracy, root mean square error, mean square error, mean absolute error, standard deviation, and losses are compared. Other machine learning and deep learning methods fall short compared to the random forest and convolutional neural network. The random forest has a maximum accuracy of 98.96%, mean absolute error of 1.97, root mean square error of 2.45, and standard deviation of 1.23. The convolutional neural network has been evaluated with a minimum loss of 0.00060. Consequently, a model is developed that, compared to other algorithms, predicts the yield quite well. The findings are then analyzed using the root mean square error metric to understand better how the model’s errors compare to those of the other methods. (shrink)

Solving Typhoon Turbulence Using the Universal Formula -/- By Angelito Malicse -/- Introduction -/- Typhoons are among the most destructive natural phenomena, bringing extreme winds, heavy rainfall, and turbulent ocean currents. The chaotic turbulence within a typhoon makes it difficult to predict and control, causing widespread devastation to coastal regions, infrastructure, and human lives. Despite advancements in meteorology and fluid dynamics, the turbulence inside typhoons remains a challenge for accurate forecasting and disaster mitigation. -/- By applying my universal formula, (...) based on three fundamental laws of nature, we can develop a structured and effective approach to understanding and controlling typhoon turbulence. This essay explores how the Law of Karma (causality and system integrity), the Law of Balance in Nature, and the Law of Feedback Regulation provide the ultimate solution to typhoon turbulence. -/- Understanding Typhoon Turbulence Using the Universal Formula -/- Typhoons form due to energy imbalances in the atmosphere and ocean, driven by heat, pressure differences, and moisture content. The chaotic turbulence inside a typhoon is the result of: -/- 1. Unstable air currents caused by pressure and temperature gradients. -/- 2. Vortex formation driven by Earth’s rotation and wind shear. -/- 3. Excess energy accumulation in warm ocean waters. -/- By examining typhoon turbulence through the three universal laws, we can develop a scientific strategy to predict, weaken, and potentially neutralize typhoons before they cause destruction. -/- 1. The Law of Karma: Cause, Effect, and Systemic Integrity -/- The Law of Karma states that every effect has a cause, and for a system to function properly, it must be free of defects. A typhoon is an effect caused by imbalances in atmospheric and oceanic conditions. If these imbalances are corrected, typhoon turbulence can be weakened or prevented. -/- Applying the Law of Karma to Typhoon Control -/- ✅ Eliminate the root cause: Typhoons are fueled by warm ocean waters. Artificial cooling methods, such as cloud seeding or deep-sea upwelling (bringing cold water to the surface), could reduce the heat energy supply and prevent typhoon formation. -/- ✅ Detect turbulence before it intensifies: AI-driven weather models can predict early-stage typhoon turbulence and allow preemptive interventions. AI can identify defective atmospheric conditions (such as extreme heat buildup in ocean currents) and trigger mitigation efforts. -/- ✅ Disrupt vortex formation: Since typhoons rely on rotational forces, deploying strategically placed atmospheric pressure disturbances (via drones or cloud-seeding techniques) could disrupt the vortex before it gains full strength. -/- By identifying and neutralizing the causes of typhoon turbulence, we ensure that the system remains balanced, preventing large-scale destruction. -/- 2. The Law of Balance in Nature -/- The Law of Balance states that all systems naturally seek equilibrium. When a typhoon forms, it represents an extreme imbalance in the Earth’s energy system—excess heat and moisture create an unstable feedback loop of wind and turbulence. -/- Restoring Balance to Weaken Typhoon Turbulence -/- ✅ Regulating ocean surface temperature: Large-scale ocean-based temperature regulation systems (such as reflective films or artificial cooling platforms) can prevent typhoon formation by reducing the excess heat energy that fuels storms. -/- ✅ Breaking the pressure imbalance: Typhoons depend on a low-pressure core that intensifies wind speeds. By artificially increasing local air pressure using ionization or controlled cloud seeding, the extreme wind turbulence can be diffused before it reaches destructive levels. -/- ✅ Balancing atmospheric moisture: AI-assisted weather control could help regulate humidity levels through strategic rainfall induction in high-risk areas, ensuring that water vapor does not accumulate excessively to fuel a typhoon. -/- Since all systems follow natural equilibrium, strategically rebalancing temperature, pressure, and humidity will neutralize extreme typhoon turbulence. -/- 3. The Law of Feedback Regulation -/- The Law of Feedback Regulation states that all systems operate through feedback loops, where continuous monitoring and adjustment are necessary for stability. Typhoon turbulence follows feedback patterns, which means it can be tracked, analyzed, and counteracted using real-time data. -/- Developing an AI-Driven Typhoon Suppression System -/- ✅ AI-powered real-time monitoring: Advanced satellites, ocean buoys, and drones can provide instant feedback on typhoon development, allowing for proactive interventions rather than reactive disaster response. -/- ✅ Adaptive wind and pressure control: Deploying AI-controlled drones or weather balloons to release cooling agents, modify air pressure, or disperse cloud formations could interrupt the storm's feedback loop, reducing its intensity. -/- ✅ AI-driven weather forecasting for early response: Using deep learning algorithms, AI can accurately predict turbulence patterns weeks in advance, allowing governments to take preventive action instead of just preparing for disaster relief. -/- By implementing real-time monitoring and intervention, we can use feedback regulation to weaken or redirect typhoons before they cause catastrophic damage. -/- The Future of Typhoon Control with the Universal Formula -/- By integrating my universal formula into meteorology and disaster prevention, we can develop a comprehensive AI-driven typhoon suppression system that follows the three fundamental laws of nature: -/- 1. Law of Karma (Causality and Systemic Integrity): Address the root causes of typhoon formation by eliminating atmospheric and oceanic imbalances. -/- 2. Law of Balance in Nature: Restore equilibrium by regulating ocean temperatures, air pressure, and humidity. -/- 3. Law of Feedback Regulation: Use AI-driven real-time monitoring and intervention to weaken or prevent typhoons. -/- Through advanced AI, environmental engineering, and a deep understanding of nature’s laws, we can move beyond simply predicting typhoons and start actively controlling their development. -/- Conclusion -/- Typhoon turbulence, long considered an unpredictable force of nature, is fundamentally a problem of imbalance, energy accumulation, and feedback-driven intensification. By applying my universal formula, we can shift from passive disaster response to active typhoon control, using AI, environmental intervention, and natural equilibrium principles to prevent devastation. -/- This solution is not just theoretical—it aligns with the fundamental laws governing all natural systems. Once implemented, it will mark the beginning of a new era where humanity can harness nature’s own principles to create balance, stability, and protection from extreme weather. -/- . (shrink)

Title: The Systemic Causes of Emergent Religious Dogma and Its Violation of the Three Universal Laws of Nature -/- Author: Angelito Malicse -/- Abstract: This paper examines the systemic causes behind the emergence of dogmatic teachings in major world religions and analyzes how such dogmas violate the Three Universal Laws of Nature proposed by the author. These laws include the Law of Karma (understood as error-free system functioning), the Law of Balance (homeostasis in natural and mental systems), and the Law (...) of Natural Feedback (interconnected response mechanisms within and between systems). By identifying the historical, cognitive, and systemic roots of religious dogmatism, this paper aims to provide a framework for reprogramming educational and leadership systems toward holistic and balanced decision-making. -/- 1. Introduction Religious dogma has played a central role in shaping civilizations, cultures, and individual behavior. While it has often provided moral guidance and social cohesion, it has also contributed to ignorance, intolerance, and societal imbalance. Through the lens of the Three Universal Laws of Nature, we can identify the ways in which rigid dogmatic systems disrupt natural and cognitive harmony. -/- 2. The Three Universal Laws of Nature -/- Law of Karma (System Integrity): Every system must operate without defects or errors to function effectively. When errors persist, the system’s outcomes are flawed. -/- Law of Balance (Homeostasis): All natural and human systems strive for balance. Imbalance causes internal conflict, societal dysfunction, or collapse. -/- Law of Natural Feedback: All systems must remain open to feedback from their internal and external environments. Ignoring feedback leads to maladaptation and systemic failure. -/- 3. Causes of Emergent Religious Dogma -/- 3.1 Fear-Based Origins Many religious doctrines emerged as responses to existential fear—of death, the unknown, and natural disasters. Dogmatic narratives provided simplified explanations and behavioral rules. 3.2 Example 1: Ancient Mesopotamian religions attributed floods and famines to the anger of gods. Such beliefs led to ritual sacrifices as a means to appease divine forces, rather than understanding ecological or agricultural causes. -/- Example 2: In medieval Christianity, the Black Death was interpreted as divine punishment for sin. This view discouraged public health interventions and led to persecution of marginalized groups. -/- Example 3: In early Hinduism, untouchability was justified through religious texts associating impurity with karmic punishment from past lives, perpetuating caste discrimination and fear-based exclusion. -/- Example 4: In pre-Columbian Aztec religion, fear of cosmic catastrophe led to mass human sacrifices to ensure the sun would rise. This reflected a deep-seated fear-based cosmology that stifled alternative explanations of natural cycles. -/- Violation: These teachings suppress inquiry and reinforce imbalance by replacing curiosity with fear, violating all three universal laws. -/- 3.3 Authority Control and Power Structures Religious institutions often formalized dogma to maintain social or political control, discouraging dissent and elevating select individuals or groups as unquestionable authorities. 3.4 Example 1: The Catholic Church during the Middle Ages used religious dogma to justify inquisitions and excommunication. Galileo was tried for promoting heliocentric theory. -/- Example 2: In early Islamic empires, the rationalist Mu’tazilite school was silenced by political authorities in favor of more conservative Sunni orthodoxy. -/- Example 3: In Tibet, theocratic rule under the Dalai Lamas mixed religious and political power, sometimes using spiritual authority to suppress rival views or secular reforms. -/- Example 4: In Imperial Japan, State Shinto was enforced as a sacred national ideology, deifying the emperor and using religion to justify wartime expansion. -/- Violation: These systems ignored feedback, violated the Law of Balance by consolidating unchecked power, and created systemic dysfunction. -/- 3.3 Lack of Critical Thinking in Education Religious dogma has historically discouraged critical thinking by promoting belief over analysis, often within educational institutions. -/- Example 1: In Islamic madrasas during the Abbasid period’s decline, rote memorization of Qur’anic verses replaced the earlier golden age of open philosophical debate. -/- Example 2: Christian parochial schools often emphasize catechism and obedience over philosophical inquiry, especially before modern curriculum reforms. -/- Example 3: In Orthodox Jewish yeshivas, intense focus on Talmudic repetition can limit exposure to secular critical reasoning. -/- Example 4: Buddhist monastic training in some Theravāda traditions may discourage questioning of senior monks or re-evaluation of ancient commentaries. -/- Violation: This suppresses the Law of Feedback (students cannot question), and disrupts cognitive homeostasis (Law of Balance), leading to mental rigidity. -/- 3.5 Mythologizing Natural Laws Early religions often interpreted natural phenomena (e.g., storms, disease, fertility) as divine interventions rather than natural processes. 3.6 Example 1: In ancient Egypt, the Nile’s flooding was attributed to the goddess Isis’s tears rather than seasonal rainfall patterns. -/- Example 2: In Norse mythology, lightning was seen as Thor’s hammer striking enemies of the gods, preventing meteorological exploration. -/- Example 3: In early Christianity, illness was often seen as divine punishment or demonic possession, leading to reliance on exorcism rather than medicine. -/- Example 4: In many African traditional religions, droughts or epidemics were attributed to the anger of ancestors, promoting rituals over sustainable agriculture or hygiene. -/- Violation: These interpretations contradict the Law of Karma (scientific accuracy), perpetuate system errors, and prevent systemic adaptation. -/- 3.5 Cultural Echo Chambers and Isolation When religious communities isolate themselves ideologically or physically, they create self-reinforcing dogmas. -/- Example 1: The Amish community rejects most forms of modern technology, sometimes impeding access to life-saving medical care. -/- Example 2: Ultra-Orthodox Jewish communities may reject secular sciences and discourage contact with outsiders, limiting exposure to empirical knowledge. -/- Example 3: Some Pentecostal or evangelical sects promote insular beliefs about divine prophecy, rejecting scientific consensus on evolution or climate change. -/- Example 4: In certain Buddhist nationalist movements (e.g., in Myanmar), religious dogma is used to isolate the majority from minority faiths, promoting violence and xenophobia. -/- Violation: Such communities resist external feedback, violate the Law of Balance (sociopolitical harmony), and risk collapse under external pressures. -/- 4. Implications for Holistic Education and Leadership To rectify the imbalances caused by dogmatic teachings, education systems must integrate the Three Universal Laws. Leadership training should emphasize systemic thinking, feedback reception, and the pursuit of balance in decision-making. -/- Example in Practice 1: Finland’s education system promotes critical inquiry, emotional intelligence, and a secular understanding of comparative religion. -/- Example in Practice 2: Bhutan’s Gross National Happiness model balances spiritual traditions with modern governance, integrating wellbeing, feedback, and environmental balance. -/- Example in Practice 3: Montessori and Waldorf education methods encourage experiential learning and questioning authority, aligning with natural feedback and balanced cognitive growth. -/- Example in Practice 4: In Rwanda, post-genocide leadership training incorporates forgiveness and rational unity, balancing traditional values with forward-looking governance. -/- 5. Conclusion Dogmatic teachings in major religions arose from systemic needs but now often function in opposition to natural laws. By understanding their origins and violations through the Three Universal Laws of Nature, societies can reform education and leadership systems to restore balance, functionality, and human well-being. -/- . (shrink)

Purpose: The purpose of this paper is to examine the feasibility and design of zero-energy buildings (ZEBs) in cold and semi-arid climates. In this study, to maximize the use of renewable energy, energy consumption is diminished using passive solar architecture systems and techniques. -/- Design/methodology/approach: The case study is a residential building with a floor area of 100 m2 and four inhabitants in the cold and semi-arid climate, northeast of Iran. For thermal simulation, the climate data such as air temperature, (...) sunshine hours, wind, precipitation and hourly sunlight, are provided from the meteorological station and weather databases of the region. DesignBuilder software is applied for simulation and dynamic analysis of the building, as well as PVsyst software to design and evaluate renewable energy performance. -/- Findings: The simulation results show a 30% decrease in annual energy consumption of the building by complying with the principles of passive design (optimal selection of direction, Trombe wall, shade, proper insulation selection) from 25,443 kWh to 17,767 kWh. Then, the solar energy photovoltaic (PV) system is designed using PVsyst software, taking into account the annual energy requirement and the system’s annual energy yield is estimated to be 26,291 kWh. -/- Originality/value: The adaptive comparison of the values obtained from the energy analysis indicated that constructing a ZEB is feasible in cold and semi-arid conditions and is considered an effective step to achieve sustainable and environmentally friendly construction. (shrink)

The potential for enormous carbon emissions after fires makes peatlands a serious environmental hazard. Effective management is hampered by the labour intensive and real-time data-poor nature of conventional ground water level (GWL) monitoring in peatlands. issue study addressed issue by proposing an IoT system for real-time monitoring that uses neural network-based GWL prediction. The neural network forecasts GWL based on meteorological factors, giving the responsible party more time to take the necessary steps to lower the danger of fire in peatlands. (...) With a Root Mean Square Error (RMSE) ranging from 3.554 to 4.920, the suggested neural network shows encouraging results and guarantees 99% accuracy within a 14.760 mm range of the real GWL. This research highlights the innovative method of combining neural networks and the Internet of Things for peatland GWL prediction, providing a major breakthrough in real-time monitoring and fire risk reduction techniques. The innovation is its capacity to use basic meteorological information to anticipate GWL in real-time, even in places without the resources for traditional monitoring. (shrink)

The scientists propose a new model with dark energy and our universe riding on an expanding bubble in an extra dimension. The whole universe accommodated on the edge of the this expanding bubble. The thought experiment in this paper involves a bubble universe that is assumed to be rising in direction of North bubble pole. The rising is based on assumption with its comparison with parcel of air observed in meteorology. The thought experiment in this paper involves a bubble (...) universe that is assumed to be rising in direction of its north bubble pole. Her universe is also imagined moving in a direction like a parcel of air but on the base of pressure mismatch but this thought experiment involves imagining the bubble rising that would be its movement along the direction of it north bubble pole. If these bubbles are assumed to be moving upward like parcel of air as this thought experiment involves the assumption of them moving upward i.e. moving in direction of their respective north bubble pole could have collisions. The possible assumption of poles of bubbles assumes that their movements, expanding and cooling of the universe are all correlated. (shrink)

This paper investigates Péter Pázmány’s theory of mixtures from his exegesis of Meteorologica IV, in the context of sixteenth-century scholarship on Aristotle’s Meteorologica. It aims to contribute to a discussion of Anneliese Maier’s thesis concerning the incompatibility between hylomorphism and the theory of elements in the Aristotelian tradition. It presents two problems: the placement of Meteorologica IV in the Jesuit cursus on physics and the conceptualization of putrefaction as a type of substantial mutation. Through an analysis of these issues, it (...) shows how sixteenth-century exegesis imposes the hylomorphic thesis onto the subject matter of meteorology and how the hylomorphic theory of substantial change can be adapted in order to accommodate the theory of elements. The case being made is that Meteorologica is a privileged place where hylomorphism and the theory of elements meet and that the late Aristotelian theory of mixtures sought to accommodate both theories of material substance. (shrink)

This paper seeks to examine the thought of philosophers about the influence of the environment on humans' physical, mental and moral habits, as well as how these philosophers used this influence to categorise individuals according to their habitat. As such this research begins with Herodotus and Hippocrates, and briefly discusses Plato, Aristotle, and seven medieval philosophers belonging to Jewish, Christian, and Islamic religions (Al-Kindi, Eriugena, Al-Farabi, Ibn Sina, Ibn Tufail, Averroes, and Moses Maimonides). Also, this study investigates Montesquieu from the (...) seventh century, eight modern thinkers from the 19th through the 21st centuries, determinism (Carl Ritter, Ellen Churchill Semple, and Ellsworth Huntington), geography of possibilism (Vidal de Blacche, Lucian Febwer, and Cari Sauer), bioregionalism (Richard Evanoff), and meteorology (Frederik Nebeker). Lastly, this study concludes that all aforementioned 19th philosophers agreed that the environment influences human behaviour and physical condition. -/- . (shrink)

On the developmental reading, Descartes first praised his method in the first instance of Rule VIII of the Regulae ad directionem ingenii, but then demoted it to provisional in the “blacksmith” analogy, and then found his discrete method could not resolve his “finest example,” his inquiry into the essence and scope of human knowledge, an event that, on this reading, resulted in him dropping his method. In this paper, I explain how Rule VIII can be read as a coherent title (...) and commentary that is a further development of the method of the Regulae. (shrink)

The continued development of General Circulation Models (GCMs) towards increasing resolution and complexity is a predominantly chosen strategy to advance climate science, resulting in channelling of research and funding to meet this aspiration. Yet many other modelling strategies have also been developed and can be used to understand past and present climates, to project future climates and ultimately to support decision-making. We argue that a plurality of climate modelling strategies and an equitable distribution of funding among them would be an (...) improvement on the current predominant strategy for informing policy making. To support our claim, we use a philosophy of science approach to compare increasing resolution and complexity of General Circulation Models with three alternate examples: the use of machine learning techniques, the physical climate storyline approach, and Earth System Models of Intermediate Complexity. We show that each of these strategies prioritises a particular set of methodological aims, among which are empirical agreement, realism, comprehensiveness, diversity of process representations, inclusion of the human dimension, reduction of computational expense, and intelligibility. Thus, each strategy may provide adequate information to support different specific kinds of research and decision questions. We conclude that, because climate decision-making consists of different kinds of questions, many modelling strategies are all potentially useful, and can be used in a complementary way. (shrink)