Scientific Research Research Articles

Development and Experimental Study of Supercritical Flow Payload for Extravehicular Mounting on TZ-6

This paper provides a detailed description of the development and experimental results of the supercritical flow experiment payload carried on the TZ-6 cargo spacecraft, as well as a systematic verification of the out-of-cabin deployment experiment. The technical and engineering indicators of the payload deployment experiment are analyzed, and the functional modules of the payload are shown. The paper provides a detailed description of the design, installation location, size, weight, temperature, illumination, pressure, radiation, control, command reception, telemetry data, downlink data, and experimental procedures for the out-of-cabin payload in the extreme conditions of space. The paper presents the annular liquid surface state and temperature oscillation signals obtained from the space experiment and conducts ground matching experiments to verify the results, providing scientific references for the design and condition setting of space experiments and comparisons for the experimental results to obtain the flow field structure under supercritical conditions. The paper provides a specific summary and discussion of the space fluid science experiment project, providing useful references for future long-term in-orbit scientific research using cargo spacecraft.

Current advances in physiological science. In commemoration of centennial anniversary of the Department of Human and Animal Physiology of Moscow State University

Hereby we briefly review the articles that comprise the special issue of “Lomonosov Biology Journal” (“Vestnik Moskovskogo universiteta. Seria 16. Biologia”), which commemorates the centennial anniversary of the Department of Human and Animal Physiology of Lomonosov Moscow State University, founded by prominent Russian physiologist Alexander F. Samoilov. The main stages of the Department’s history are briefly described. The published studies of the leading Russian researchers, including the scientific research group from Department of Human and Animal Physiology, are discussed within the scope of main current challenges of physiological science.

Basic Mathematical form Of Nature of Space And Dimension of Observable Universe and Beyond

In this innovative research I have advanced the theory of space with definition of space, definition of types of space, and introduced energy-mass transformation, gravity and gravitation force. With this advance research, finally I have defined basic mathematical form of “Nature of space and Dimension of Observable Universe and beyond”.As we know the universe is defined as all space-time and their contents. However, several questions still remain open regarding higher dimension, singularity, gravity collapse at horizon of black hole, unified gravity, theory of everything, dark matter, dark energy, existence of observable universe and beyond, question for mathematical form of everything, question for matter itself, and question for the space itself. These open questions have driven this scientific research of “Basic Mathematical form Of Nature of Space and Dimension of Observable Universe and beyond”. My research findings indicate that the space itself is the entity with having physical properties. The space can be described by physical structure and its transformation. The space has two fundamental properties of energy and mass, and space can be described by energy- mass transformation. From these energy-mass transformation and physical structure transformation, I have defined the gravity, gravitation force and basicmathematical form of“Nature of space and Dimension of Observable Universe and beyond”. This basic mathematical form covers scope of higher dimension, unified gravity, singularity, horizon of black hole, and nature of space of observable universe and beyond. Several research have been conductedfor look into nature of space,space-time, gravity, unified gravity, higher dimensions, unified mathematical formof everything by Minkowski space,Higgs field, Aether medium, Newton’s law of universal gravitation, Electromagnetism, Planck constant,General relativity,Standard Model,Loop Quantum Gravity, Super symmetry, Super gravity, String theory and M-Theory. Despite these research, the questions still remain open for unified nature and for unified mathematical form of “Nature of space and Dimension of Observable Universe and beyond”. By researching the existence of matter, I found the existence of space was just accepted as the void, empty, and space-time background framework. My research reflects “Dimension of Observable Universe and beyond”encompasses all existence of observable universe and beyond it. The advance definition of space, definition of type of space, space transformation and energy-mass transformation perfectly describe existence of entire space & universe and its nature at very fundamental level. This very fundamental nature is presented in basic mathematical form. It is the most accurate foundation to answer those open questions. It is the novelty in astrophysics and foundation of entire existence.

Tear-Based Ocular Wearable Biosensors for Human Health Monitoring

Wearable tear-based biosensors have garnered substantial interest for real time monitoring with an emphasis on personalized health care. These biosensors utilize major tear biomarkers such as proteins, lipids, metabolites, and electrolytes for the detection and recording of stable biological signals in a non-invasive manner. The present comprehensive review delves deep into the tear composition along with potential biomarkers that can identify, monitor, and predict certain ocular diseases such as dry eye disease, conjunctivitis, eye-related infections, as well as diabetes mellitus. Recent technologies in tear-based wearable point-of-care medical devices, specifically the state-of-the-art and prospects of glucose, pH, lactate, protein, lipid, and electrolyte sensing from tear are discussed. Finally, the review addresses the existing challenges associated with the widespread application of tear-based sensors, which will pave the way for advanced scientific research and development of such non-invasive health monitoring devices.

A Composite Approach for Evaluating Operational Cloud Seeding Effect in Stratus Clouds

Robust water management is in intense demand in many water scarcity areas, such as arid and semi-arid regions in the world. As part of the regional water management strategy, rain enhancement is vital to replenish groundwater reservoirs, and the key challenge is how to assess its effectiveness. Some recent weather modification experiments attained cloud seeding effect through advanced in situ measurement coupled with accurate numerical simulation. However, there is still a lack of an objective and scientific approach to quantitatively evaluate the rain enhancement effect, especially for many non-randomized operational cloud seeding activities in China. In this study, we proposed a composite evaluation approach by analyzing two operational aircraft cloud seeding cases in stratus clouds in Shaanxi, China. By calculating the aircraft cloud seeding agent plumes, the target areas (as well as the control areas) of cloud seeding were dynamically and roughly determined. Physical properties, such as radar reflectivity and precipitation, were individually quantified in these areas. The cloud seeding effect was then evaluated by calculating the difference in parameter variation between target and control areas. This approach can be applied to qualitative analysis in a single aircraft cloud seeding operation and can also provide quantitative statistical results from multiple cloud seeding cases. We found that the average precipitation enhancement percentage of 18 operational aircraft cloud seeding cases is ~4.84%. Note that the homogeneity hypothesis of the seeding cloud, the error in the calculation of the target area, and the selection of control areas are the major uncertainties likely in the evaluation of the cloud seeding effect by this approach.

Elastic mechanical thermodynamic and thermoelectric properties of pristine and titanium doped Mg2Si: a density functional theory study.

Herein, we report a systematic investigation of the effect of Titanium doping on the structural, elastic, mechanical, thermodynamic, and thermoelectric (TE) dynamics of Mg2Si Compounds using first-principle investigation. The present study has been carried out using the FP-LAPW (full potential linearized augmented plane wave)method as implemented in Wien2k code under mBJ exchange potentials. The investigations revealed that Mg2-xTixSi compounds have structural stability with cubic phase (Fm-3m symmetry) and possess degenerate semiconducting nature. The analysis of elastic constants revealed mechanical stability of the investigated compounds following Born criteria. Thermodynamic investigations have been carried out in the temperature range of 100 to 1500 K at zero pressure and the quantities like heat capacity, Debye temperature, Grüneisen constant, and thermal expansion coefficient have been critically analyzed. Lastly, the thermoelectric performance of Mg2-xTixSi compounds has been predicted by estimating the thermopower (S2σ) and thermoelectric figure of merit (zT) in the temperature range of 300 to 1500 K. The predicted value of zTmax for Mg2-xTixSi compound is 0.67 at 800 K for x = 0.25 titanium content, suggesting materials promising application for thermoelectric energy harvesting and mechanical devices.&#xD.

Formation of Alloyed Cu2CoxZn1-xSn(S,Se)4 Absorption Layer and Its Application in Solar Cells.

Partial substitution of cations is crucial for suppressing harmful defects in Cu2ZnSn(S,Se)4 thin-film solar cells. In this study, based on the mixed n-butylammonium and butyrate solution system, the alloyed Cu2CoxZn1-xSn(S,Se)4 phase can be prepared by substituting Zn2+ with Co2+, which can suppress harmful defects and optimize the crystallinity of the Cu2ZnSn(S,Se)4 absorption layer, and improve the photoelectric conversion efficiency (PCE) of devices. By systematic investigation of the impact of Co content on the performance of devices, the optimal substitution amount of Zn2+ with Co2+ is 0.05. At this time, PCE, the open-circuit voltage (VOC), current density (JSC), and fill factor (FF) of the devices can reach 9.0%, 416 mV, 33.87 mA/cm2, and 64%, respectively. It is the first time that the replacement of Zn2+ with Co2+ is applied to optimize PCE of CZTSSe solar cells. The excellent results also demonstrate that the substitution of Zn2+ with Co2+ can become a new approach for further performance optimization of Cu2ZnSn(S,Se)4 solar cells.

Semantics Lifting for Syntactic Sugar

Syntactic sugar plays a crucial role in engineering programming languages. It offers convenient syntax and higher-level of abstractions, as witnessed by its pervasive use in both general-purpose and domain-specific contexts. Unfortunately, the traditional approach of translating programs containing syntactic sugars into the host language can lead to abstraction leakage, breaking the promise of convenience and hindering program comprehension. To address this challenge, we introduce the idea of semantics lifting that aims to statically derive self-contained evaluation rules for syntactic sugars. More specifically, we propose a semantics-lifting framework that consists of (i) a general algorithm for deriving host-independent semantics of syntactic sugars from the semantics of the host language and the desugaring rules, (ii) a formulation of the correctness and abstraction properties for a lifted semantics, and (iii) a systematic investigation of sufficient conditions that ensure a lifted semantics is provably correct and abstract. To evaluate our semantics-lifting framework, we have implemented a system named Osazone and conducted several case studies, demonstrating that our approach is flexible, effective, and practical for implementing domain-specific languages.

The modern concept of schizoaffective disorder: a narrative review

BACKGROUND: Schizoaffective disorder (SAD) is one of the most complex and controversial diagnoses in clinical psychiatry. Despite the significant changes that have occurred in the conceptualization of SAD in modern classifications and the publications of recent years, many unresolved issues remain regarding the disease, from the point of view of clinical psychiatry and basic neuroscience. AIM: The purpose of this paper is to summarize published data on the concept of SAD, its clinical characteristics, cognitive profile, potential biomarkers, as well as the place of the disease in the following modern international classifications: the International Classification of Diseases (ICD) 9th, 10th and 11th revisions, and the Diagnostic and Statistical Manual of Mental Disorders, 5th edition (DSM-5). METHODS: We undertook a review of the scientific studies in the relevant bibliographic systems and databases (eLIBRARY, PubMed) of the past 15 years. The descriptive analysis method was used to summarize the collected information. A total of 70 publications were selected for review, including different versions of international classifications of diseases (ICD and DSM-5). RESULTS: There has been some improvement in the inter-rater reliability of SAD criteria in modern classifications, but this has not yet led to a clearer understanding among mental health specialists, while the various subtypes of SAD identified so far fail to account for the heterogeneity in the clinical presentation of the disorder. The dimensional approach to diagnosing SAD, according to which the intensity of psychotic and affective symptoms can fluctuate over time and they can influence one another, more accurately reflects the disease’s ability to embody different forms. Basic research does not support the identification of a distinct cognitive, neuroimaging, or immunological SAD endophenotype that differs qualitatively from schizophrenia and affective psychoses. CONCLUSION: The conceptualization of SAD remains incomplete, and new approaches rooted in neuroscience are needed to better understand the coexistence of affective and psychotic symptoms.

КРАЙОВІ ЕФЕКТИ В БАЛКАХ ІЗ КОМПОЗИТІВ

Beams made of composites are widely used in aircraft structures, various machines and mechanisms. The experience of operation and repair of such objects shows that when designing beams and spars, one must take into account such effects as the influence of thermal stresses and the additional contribution of Poisson's coefficients to the stressed state of beam elements both in the length direction and along the width beam elements. Scientific studies devoted to the assessment of the stress-strain state of load-bearing structures made of composites demonstrate the conclusions that the effects of thermal expansion (contraction) of heterogeneous connected elements and the influence of Poisson's ratios give significant increases in stress. The value of these increases can be up to dozens of percents of the base load (that is, without taking these effects into account).The paper proposes an engineering mathematical model that allows estimating the value of normal and shear stresses from thermal loading and Poisson stresses. An analysis of the distribution of these stresses along the length and width of the beam elements was carried out.When using the structural-technological solution of beams with sub-shoulders, the proposed method allows you to reasonably choose adhesive or binder for reliable connection of the cap with sub-shoulder, as well as more correctly justify the geometric dimensions of the beam elements. Also, this technique can be used to develop new structural and technological solutions for beams and other load-bearing elements (ribs, walls, webs, doublers, overlapping joints of composite parts).Another applied direction of using the developed methodology can be considered the development and optimization of existing technological processes for the production of parts and units of composites, in which the so-called hot polymerization of the binder (at elevated temperatures) is used. The method makes it possible to estimate the level of thermal stresses that occur during the manufacture of the unit.In general, the proposed technique makes it possible to understand the principles of additional stresses occurrence, to estimate their absolute values, and to increase the accuracy of estimating the stress-strain state of beam elements.

Inferring the dust emission at submillimeter and millimeter wavelengths using neural networks

The Planck mission provided all-sky dust emission maps in the submillimeter (submm) to millimeter (mm) range at an angular resolution of 5$^ prime $. In addition, some specific sources can be observed at long wavelengths and higher resolution using ground-based telescopes. These observations are limited to small scales and are sometimes not delivered to the community. These ground-based observations require extensive data processing before they become available for scientific analysis, and suffer from extended emission filtering. At present, we are still unable to fully understand the emissivity variations observed in different astrophysical environments at long (submm and mm) wavelengths. Several models have been developed to reproduce the diffuse Galactic medium, and each distinct environment requires an adjustment of the models. It is therefore challenging to estimate any dust emission in the submm-mm at a better resolution than the 5$^ prime $ from Planck . In this analysis, based on supervised deep learning algorithms, we produced dust emission predictions in the two Planck bands centered at 850 mic (353 GHz) and 1.38 mm (217 GHz) at the Herschel resolution (37$^ prime $). Prediction or forecasting is a frequently used term in machine learning or neural network research that refers to the output of an algorithm that has been trained on a given dataset and that is being used for modeling purposes. Herschel data of Galactic environments, ranging from 160 mic to 500 mic and smoothed to an angular resolution of 5$^ prime $, were used to train the neural network. This training aimed to provide the most accurate model for reproducing Planck maps of dust emission at 850 mic and 1.38 mm. Then, using Herschel data only, the model was applied to predict dust emission maps at 37$^ prime The neural network is capable of reproducing dust emission maps of various Galactic environments with a difference of only a few percent at the Planck resolution. Remarkably, it also performs well for nearby extragalactic environments. This could indicate that large dust grains, probed by submm or mm observations, have similar properties in both our Galaxy and nearby galaxies, or at least that their spectral behaviors are comparable in Galactic and extragalactic environments. For the first time, we provide to the community dust emission prediction maps at 850 mic and 1.38 mm at the 37$^ prime $ of several surveys: Hi-GAL, Gould Belt, Cold Cores, HERITAGE, Helga, HerM33es, KINGFISH, and Very Nearby Galaxies. The ratio of these two wavelength brightness bands reveals a derived emissivity spectral index statistically close to 1 for all the surveys, which favors the hypothesis of a flattened dust emission spectrum for wavelengths larger than 850 mic . Neural networks appear to be powerful algorithms that are highly efficient at learning from large datasets and achieving accurate reproductions with a deviation of only a few percent. However, to fully recover the input data during the training, it is essential to sample a sufficiently large range of datasets and physical conditions.

Ancient Sources in Adam Smith’s Theories of Sympathetic Morality and Imagination: Aristotle’s Thought and The Theory of Moral Sentiments

This essay considers the profound influence of Aristotle’s philosophy on Adam Smith’s theories of sympathetic morality and imagination. In particular, it examines how Smith’s theories, often seen as Stoic, align with Aristotelian concepts; also, it analyses Smith’s interpretation of wonder as more than a philosophical catalyst, but also as a force that enhances sensitivity to virtue and informs moral judgement: which is similar to Aristotle’s view of wonder as the genesis of philosophical and scientific inquiry. Consequently, Smith’s understanding of imagination is seen as a transformative cognitive faculty similar to Aristotle’s idea of it as an innate capacity for mental imagery and sensory perception. This juxtaposition underscores the role of the imagination as a creative dynamics that transcends individual perspective and captures the essence of human experience. Smith’s integration of Aristotelian thought represents thus a distinctive and nuanced contribution to the classical legacy within the Scottish Enlightenment, shaping a deeper understanding of moral and philosophical inquiry.

Application Practice of SHPB Experimental Technology in "Blasting Engineering" Teaching

The course of "Blasting Engineering" is a highly practical professional course in the field of civil engineering. In order to help students deeply understand and comprehend the propagation and attenuation mechanism of stress waves during rock blasting process, as well as the influence of rock dynamic characteristics on blasting rupture effect, SHPB impact compression experimental technology is introduced into the teaching of "blasting engineering". Firstly, the structure, experimental process, and principles of SHPB equipment were introduced, allowing students to have a better understanding of the experimental principles of SHPB and the theoretical calculation methods of rock dynamic parameters. Then, by combining SHPB experiments with the theoretical course of "Blasting Engineering", the teaching mode can solve students' difficulties in learning blasting theory, exercise their scientific research and exploration abilities, expand their innovative thinking, and cultivate their ability to propose and solve key scientific problems. This helps to unleash students' subjective initiative in conducting experimental research independently and improve teaching effectiveness.

Everything, everywhere, and all at once: A blueprint for supra‐organization of core facilities

AbstractCore facilities are crucial for cutting‐edge scientific research in academic institutions, yet they place a significant financial burden on budgets. The viability of these facilities can be improved through cross‐institutional collaborations, although initiating and sustaining such partnerships poses challenges. Insights from Israel's recent nationwide organization of core facilities could offer valuable lessons for fostering similar cooperation elsewhere. Despite the chronic shortfall in public research funding, Israeli research institutions were slow to fully embrace infrastructure sharing. This gap led to the creation of the Israel Research Core Facilities (IRCF) in 2022, which linked core facilities across the country through a bottom‐up approach. IRCF facilitated the formation of numerous specialized nation‐wide networks for intellectual exchange, and supported training workshops and meetings aimed at core technology providers. These initiatives serve dual purposes: they ensure the ongoing advancement of technological capabilities across facilities, regardless of their size or location, and they strengthen the commitment to the IRCF mission by motivating the maintenance of the IRCF database. As a result, a model of “capacity sharing” emerged, connecting all of Israel's core facility centers. This model enhances infrastructure use, supports strategic planning, and fosters growth. With over 450 core experts offering over 1100 scientific services consolidated into a publicly accessible database, IRCF supports research in universities, hospitals, government, and industry. This strategy could act as a model for creating regional core facility organizations to elevate research quality and ensure efficient infrastructure development.

Ai] Explore!: An Educational Game for Developing Programming Skills and Algorithmic Thinking

The game [ai] explore! was developed to introduce the algorithm behind the popular science exhibition. The idea behind the [ai] explore! exhibition was to show the application of mathematics and computer science in solving real engineering problems by creating the exhibit using the mathematical algorithm Heat Equation Driven Area Coverage (HEDAC). The algorithm is based on scientific research and has many applications: exploration and search in unknown space, painting, planning agricultural spraying, scanning 3D objects, etc. The exhibits show the process by which the algorithm paints objects with a virtual brush and explores their shape. By surveying the high school students, it was shown that new mathematical and engineering results can be explained and turned into a playable game. After playing the game, students respond positively to the game presented and state that they have a good understanding of the HEDAC algorithm presented and how it works. This motivated us to investigate [ai] explore! as an educational game for teaching mathematics and computer science. The aim of the research described in this paper is to investigate the potential of the developed game as an educational game. The game-based learning (GBL) approach is increasingly used to increase student motivation and engagement in STEM lessons. The main research question is: How do primary school teachers and students perceive the usefulness of the game [ai] explore! in supporting teaching and learning of computer science concepts? We have developed and implemented teaching scenarios on how the game [ai] explore! can be used as an educational game in computer science lessons. We show that the game has great potential to teach primary school students programming. In addition, the game promotes algorithmic thinking and computational thinking skills in general, which are valuable not only in computer science but also in other fields such as mathematics, where a systematic and analytical approach to problem-solving is required.

ОГЛЯД СУЧАСНИХ ПІДХОДІВ ДО УПРАВЛІННЯ МАТЕРІАЛЬНИМИ РЕСУРСАМИ ПРОМИСЛОВОГО ПІДПРИЄМСТВА

The purpose of the article is a general overview of approaches to the management of material resources of a manufacturing enterprise. Approaches to defining the concepts of "material resources" and "material resources of the enterprise" and the composition of the material resources of the enterprise are analyzed. It is agreed that material resources include raw materials, main and auxiliary materials, component products, fuel, work in progress and production waste. Features of material resources as an object of management at the enterprise are highlighted and include material form, usage in production process, transfer of their value to the value of produced products. An analysis of individual approaches to material resource management is carried out, in particular, integral, functional, logistic and reengineering approaches. An improved list of material resource management tasks within the framework of individual functional divisions of the enterprise is proposed. The functional divisions include economic and planning, marketing, procurement, accounting, legal department, production, information department. Areas of activity in the field of management of material resources of an industrial enterprise within the framework of separate management functions are suggested and grouped, including activities aimed at coordinating other management functions. In particular, the market factor is the basis of planning, and the need to implement an information system for the management of material resources and ensure its smooth operation to ensure the coordination of management activities for the management of material resources is emphasized. The place and role of the company's information system is determined as such that helps unification of data sources, serves as information base for management decisions, allows to improve the process of management of material resources, ensures higher level of control and risks prevention, reduces the risk of human factor. Proposals for further scientific research were formed.

Проблемы и тенденции развития науки современной России

The work provides assessments of activities in the field of science, in the field of research and development. The research was carried out on the basis of constructing econometric models using Rosstat data. One of the main trends is the reduction of internal costs and state budget expenditures on research and development. The profitability of assets for carrying out scientific research and development is falling, and if current trends continue, the field of activity in question will become economically ineffective in the coming years. The number of patent applications filed by Russian applicants is falling. The human resources potential of science is declining. At the same time, there is a decrease in the number of doctors and candidates of sciences at such a pace that if the current trends continue, in 35 years there will be no doctors of sciences left in the country, and in 45 years there will be no candidates of sciences left in the country. Another trend is a decrease in the proportion of graduate students who defended their candidate of science dissertations in a timely manner. If current trends continue, there will be no postgraduate graduates who have defended their Ph.D. dissertations in a timely manner over the coming years.

Achieving Efficient X-ray Scintillation of Purely Organic Phosphorescent Materials by Chromophore Confinement.

Scintillators have attracted significant attention due to their wide-ranging applications in both industrial and medical fields. However, one of the ongoing challenges is the efficient utilization of triplet excitons to achieve high radioluminescence efficiency. Here, a series of purely organic phosphors is presented for X-ray scintillation, employing a combined rigid and flexible host-guest doping strategy. The doped crystals exhibit a remarkable maximum phosphorescence efficiency of 99.4% under UV excitation. Furthermore, upon X-ray irradiation, the radioluminescence intensities of the doped phosphors are markedly higher compared to their single-component crystal counterparts. Through systematic investigations, it is demonstrated the crucial role of confining isolated chromophores in enhancing scintillation efficiency. Additionally, a transparent scintillator screen fabricated with the doped phosphor exhibits excellent X-ray imaging performance, achieving a high spatial resolution of 18.0 lpmm-1. This work not only offers valuable insights into suppressing non-radiative transitions of triplet excitons during scintillation but also opens a new avenue for designing highly efficient purely organic phosphorescent scintillators.

Fundamentals of simultaneous machining and coating (SMaC) through combination of extreme high-speed laser material deposition (EHLA) and turning

Simultaneous machining and coating (SMaC) is a novel hybrid technology developed by the Fraunhofer Institute for Laser Technology ILT that combines additive manufacturing through extreme high-speed laser material deposition (EHLA) with a simultaneously engaged turning process. In the present work, the parallelization of the two subprocesses is successfully demonstrated. For the first time, systematic investigations into the influence of residual heat from the deposition process on the machining process and the properties of the resulting coating, respectively, are conducted. The study specifically examines geometric deviations, surface roughness, and tool wear. One of the main parameters affecting the residual heat introduced into the turning process is the distance between the tool center points of the EHLA deposition head and the turning tool Δz. This parameter is identified as a primary factor influencing the dimensional accuracy of the coating geometry. The results show that SMaC not only offers potential for increasing the productivity of the process chain but also has a positive effect on the service life of the cutting tools involved, potentially improving the workability of hard coating materials. Improvements in terms of the attainable surface roughness are also observed. These investigations provide a basis for research into further aspects of the SMaC process, such as adaptive tool path control methods to enhance dimensional accuracy and the influence of induced compressive stresses in processing highly brittle coating materials.

Floristic patterns of Atlantic Forest's coastal remnants: insights to guide conservation and management

The coastal remnants of the Atlantic Forest are important sources of plant biodiversity and are a significant part of this endangered biome. Despite this, in some areas the flora is still little known, such as the Serra da Tiririca State Park (PESET), Rio de Janeiro, Brazil. Here we used information from scientific studies and data from the REFLORA virtual herbarium to synthesize the floristic parameters relating to the taxonomic classification of species, origin, life form, substrate, endemism and threat. For PESET, a total of 1519 species have been recorded 1360 of which are native to Brazil. Four hundred and eighty-one species are endemic to the Atlantic Forest and six are endemic to PESET. The Fabaceae family and the Eugenia genus had the highest number of records (160 and 33 species, respectively). Approximately 32% of documented plant species comprise trees, while 85.78% are associated with terrestrial habitats. Seventy-nine species are threatened (CR, EN and VU), while 868 have Not Evaluated or have Deficient Data (NE and DD). When compared with other Atlantic Forest remnants, PESET surprisingly showed greater species similarity with the Serra de São José (ISs = 0.91) in the Brazilian Cerrado and less similarity with the Costa do Sol State Park (ISs = 0.59), which is geographically closer. Our approach, used at PESET, can be applied to other coastal remnants and increase the knowledge about the patterns of flora richness in the Atlantic Forest's coastal remnants and provide support for the conservation and management strategies in this biome.