Probabilistic Solution Research Articles

Rejuvenating Sexual Health Holistically: An Approach in Ayurveda

Sex is one of the three primary human instincts, with self-preservation and social instinct, and is thus well developed in the typical individual. Sexual Dysfunction is referred to as problems that a person or partner encounters during any phase of typical sexual activity - physical pleasure, desire, preference, arousal, or orgasm. A person’s inability to participate in a sexual relationship as they would wish is how the World Health Organization describes sexual dysfunction. It can affect both men and women and may be caused by physical, or psychological factors. Sexual dysfunction, if not addressed promptly, can significantly impacts fertility. Since sexual dysfunction usually coincides with anatomical as well as psychological factors, a comprehensive sexual history, evaluation of general health, and reproductive health, and identification of any additional sexual problems (if any) are critical while diagnosing sexual dysfunction. The concept of sexual dysfunction is not new to Ayurveda. Classics include various references to it in the context of Yoni Vyapads, Dosha Vriddhi, Kshaya, Ojus, Artava Vaha Sroto Viddha Lakshana, and Manovikaras, along with probable causative factors and solutions. Ayurveda addresses the anatomical, psychological, and endocrinological aspects of sexual dysfunctions. Following Dinacharya, Rajaswala Paricharya, Garbhini Paricharya, and Sutika Paricharya provide extensive treatment regimens by focusing on the overall health of an individual’s reproductive, psychological, and endocrinological well-being. Female sexual dysfunction is a multifactorial condition that requires a holistic approach. Modern medical treatments offer targeted solutions, while Ayurvedic therapies promote balance and long-term vitality.

Community owned green gym of a village in Maharashtra, India: a case study of community empowerment

Community empowerment is the ultimate goal of any community engagement activity in public health. This article is about the experiments done and efforts taken by different stakeholders and organizations for making villagers prioritize their health problems, find probable solutions and mobilize them for their own health needs. This includes the Community Owned Clinic (Kiran Clinic) of the village, “Village Adoption Scheme” of the medical institute, Vitalizing Communities against Non-communicable diseases (V-CaN) project of the Department of Community Medicine of the Institute, etc. Various other factors like consistent community work by the social workers of the department for the health and wellbeing of the villagers, trust-based relationship with the medical institute, active participation of the Gram Panchayat of the village in central India and other village organizations like SHGs, sports club and enthusiasm of the villagers, etc. were the driving forces for the community participation. This case study is a good example of the process of community participation where the community takes part in decision making, while it also serves as a good example of engaging future doctors with the community to promote values and skills like empathy, communication, team work, etc. within them.

CONSTRAINTS IN SOCIAL SCIENCE RESEARCH: DATA COLLECTION AND SAMPLING TECHNIQUES FOR HARD-TO-REACH POPULATION

In recent times, various methodological approaches and techniques are used in carrying out social science research, particularly in unlikely situations and among people in hard-to-reach places. This paper intends to explore new trend in research, statistical tools, its relative importance and usefulness for carrying out survey research in hard-to-reach places. It will also contrast and compare the effectiveness of methods used, and in addition, probabilistic and non-probabilistic sampling techniques needed for hard-to-reach places will be addressed. Thus, inferences will be drawn in order to proffer probable solutions for solving future methodological issues relating to social science-based research studies in hard-to-reach-places.

Variational iteration method for solving generalized complex Ginzburg-Landau equation

This study investigates the application of the variational iterative method (VIM) to solve the nonlinear complex Ginzburg-Landau problem. This study investigates the use of VIM to solve the complex nonlinear Ginzburg-Landau problem. Using MATLAB, a powerful scientific computing program, the study develops a algorithm based on VIM principles to solve probable solutions that recur to convergence and tests this approach if in four cases it shows high accuracy and efficiency for solving complex equations.

Assessment of the financial gaps in cardiothoracic surgery in Africa.

This study identified the challenges to financing cardiothoracic surgical care in Africa, highlighting the present state of funding and proffering probable solutions to adequate and effective funding in the region. In a literature review, the authors elaborated key points, such as areas of financial funding in cardiothoracic surgery; barriers to appropriate allocation of financial resources for cardiothoracic surgery in Africa; and the needs and available resources for cardiothoracic surgery in Africa. Multiple search engines and databases were used, including but not limited to PubMed, Medline, Cochrane, Scopus and Google Scholar. Sixty articles were identified, and 50 of the 60 were used for this review. Operations to treat cardiovascular and thoracic diseases performed on the African continent are known to be expensive. They also tend to result in significant morbidity and mortality among the affected individuals because payment is largely out of pocket and the coverage by health insurance providers is low. The establishment of cardiothoracic surgical centres and the delivery of cardiothoracic surgical care are expensive endeavours that limit access to care of patients without comprehensive health insurance or philanthropic support. These poor outcomes are attributed mainly to inadequate funding. We therefore have recommended advocating for increased funding and for support of policies designed to support the prioritization of cardiothoracic care within national and regional healthcare agendas in order to include cardiothoracic surgery in global and national healthcare plans. Non-governmental organizations and major industries (foreign and local) should be encouraged to invest substantial funds in building and developing cardiothoracic surgery centres in Africa.

Progress and Perspective of Noble‐Metal‐Free Bifunctional Oxygen Electrocatalysts for Zinc‐Air Batteries

AbstractRechargeable Zn‐air batteries (ZABs) have attracted widespread attention due to their advantages, such as high energy density, low price, and environmental friendliness. However, the sluggish kinetics of ORR/OER greatly prevent the practical application of rechargeable ZABs. In recent years, efficient, durable, and cost‐effective bifunctional catalysts are developed to accelerate the kinetics of ORR/OER and enhance the performance of ZABs. This review provides a systematic overview of ZABs and describes the standards of bifunctional oxygen electrocatalysts. The latest research progress in the development of non‐noble metal‐based and nano‐metallic electrocatalysts for the air electrode of ZABs is systematically summarized, including the classification, design, synthesis methods, active site structures, and mechanism. Finally, the challenges faced by bifunctional catalysts and probable solutions are proposed. This review will provide a comprehensive guidance for development of efficient oxygen electrocatalyst in the future.

Farmland Challenges in the Haor Basin of Bangladesh: Nature and Solutions

Haor regions are inhabited by one of the most economically disadvantaged communities, which rely on agriculture and endure numerous challenges due to its vulnerability. This article analyzes the data obtained from Key Informant Interviews (KIIs) and Focus Group Discussions (FGDs), which were subsequently connected to prior publications to identify the nature of the agricultural land-related problems in the Netrokona Haor basin. Multiple concerns and their nature have been uncovered through the examination. Among those, difficulties in irrigation systems pose the greatest challenge for regional producers. Additional challenges encompass land fragmentation, pollution, erosion, fishing-related concerns, drainage infrastructure, and flood. This study discusses probable solutions with the directive to new research that claims collaborative venture through government and private agencies. Carefully designed research-based policy framework prioritizing strict implementation of existing laws is crucial to effectively mitigate the problem.

Design of Effective Amplification Signal by Controlling Bandwidth Using Adaptive Learning Technique In Voice Over Internet Protocol

VoIP refers to the technology that enables the transmission of audio and video in the form of data packets across an IP network, whether it be a private or public one. Voice over Internet Protocol (VOIP) enables many important benefits for both communication service providers and their customers, including reduced costs, enhanced media offerings, mobility, integration, and portability. Despite this, there are a lot of obstacles to VOIP implementation, such as complex architectures, problems with interoperability, problems with handoff management, and security concerns. In particular, the rise in voice over Internet Protocol (VOIP) call transmission is posing a severe threat to more conventional forms of data transmission, such as text messages, as these older methods simply lack up to the task. Some of the difficulties faced by the user is that packet loss, delay, security, Noise, bandwidth overhead and throughput. This research work provides the probable solution effective data transmission by employ to control the bandwidth using the Adaptive call method in clock synchronization.

Knowledge Management In Digital Information Technology

Knowledge management is emerging as a key concern of organizations, particularly those who have already redesigned their business processes and embedded a total quality approach into their practices. Knowledge management may mean management of knowledge, both explicit and tacit knowledge. Knowledge Management provides access to experience, knowledge and expertise that create new capabilities, enable superior performance, encourage innovation, and enhance customer value. Present paper attempt to highlights the growth and development of knowledge management in the changing context of digital environment as well as current and common challenges in knowledge management and its probable solution as well as role of library and information professionals

Innovative absolute probability approach for coastal vulnerability assessment due to sea level rise: Application in Tagus Estuary, Portugal.

In coastal urban areas highly susceptible to flooding, whether from sea level rise (SLR) or storms, it is crucial to assess the vulnerability and risks posed by extreme and frequent floods. Reliable estimates of extreme natural events' return periods rely on historical data or probabilistic models, requiring extensive and robust data. From climate-scenario-based or semi-empirical models, SLR projections are represented by a central estimate or the full domain cumulative density function (CDF), entailing uncertainties. Each scenario or projection having its own CDF results in relative probability solutions rather than absolute probability. This article presents an innovative approach for determining absolute flood probability for the medium-to-long-term (2090) and long-term (2120), encompassing extreme and frequent floods over the next 100years, by combining the individual CDF of SLR, tide, and storm surge. This approach allowed the production of a new vulnerability mapping, with high spatial resolution, by adding an image processing algorithm to eliminate all flood areas isolated from tidal surface flow at the maximum total hydrostatic water level (THWL). Geographic Information Systems (GIS) can replicate this methodology. Still, as a test zone, it is specifically applied as a demonstration to the Tagus Estuary, Portugal. In 2090, the highest flood level estimation on the Tagus Estuary margins is 4.06m, corresponding to a total vulnerable area of 92km2. However, by 2120, it is expected that maximum flood height will reach 4.87m, expanding the area to 102km2. After applying the image processing algorithm to clean isolated flood areas, a decrease of 20% in the medium-to-long-term and 17% in the long-term of the vulnerable area was obtained, relative to hazard assessment. The present study intends to obtain the absolute coastal vulnerability for further coastal risk assessment, based on a non-scenario-dependent flooding probability.

Particle conversions beyond the WKB approximation and solar-induced gravitational waves from dark photon dark matter

We investigate the conversion of kinetic mixing dark photon dark matter into gravitational waves within the magnetic field of the Sun. Our study reveals that the WKB approximation is invalid in this scenario. We derive an analytic solution for the conversion probability with unitary evolution feature. This solution aligns in form with previous studies on photon-gravitational wave conversion. Interestingly, it is applicable in situations where the WKB approximation fails. We extend the unitary evolution solution to other conversion processes, such as axion-photon and dark photon-photon conversions. When the WKB approximation conditions are met, this solution reduces to the WKB result. We compute the characteristic strain of gravitational waves resulting from dark photon conversion in the solar magnetic field, spanning frequencies from 10−5 Hz to 106 Hz. Our findings indicate that the characteristic strain derived from the unitary evolution solution differs significantly from that of the WKB solution. The resulting strain signal is far below the sensitivity of current gravitational wave interferometers. Nevertheless, we have proposed an exotic gravitational wave source, which could be useful in nonminimal dark sector models. Published by the American Physical Society 2024

A Probabilistic Model for Predicting the Performance of a Stormwater Overflow Structure as Part of a Stormwater Treatment Plant

The purpose of this study was to attempt to develop a stochastic model that describes the operation of the stormwater overflow located in the stormwater sewerage system. The model built for this study makes it possible to simulate the annual volume of the stormwater discharge, the maximum volume of the overflow discharge in a precipitation event, and the share of the latter in the total amount of stormwater conveyed directly, without pre-treatment, to the receiver. The dependence obtained with the linear regression method was employed to identify the occurrence of stormwater discharge. The prediction of the synthetic annual rainfall series was made using the Monte Carlo method. This was performed based on the determined log-normal distribution, the parameters of which were specified using 13-year rainfall series. Additionally, simulation of the stormwater overflow operation was performed with the use of a calibrated hydrodynamic model of the catchment. The model was developed using the Storm Water Management Model (SWMM). The results of the hydrodynamic simulations of the volume and number of discharges were within the scope of the probabilistic solution, which confirms the applicative character of the method presented in this study, intended to assess the operation of stormwater overflow.

Achieving Interoperability Between the University of Ghana Medical Centre's Electronic Health Records and RXclaims System

This paper examines and identifies the difficulties and probable solutions for leveraging the implementation of Electronic Health Records with the RXclaims system. Therefore, based on the analysis of technical dissimilarities, data standardisation problems, and difficulties in interaction between two crucial systems, the purpose is to bring two systems together. We examine standards and protocols related to Health Level Seven (HL7) and Fast Healthcare Interoperability Resources (FHIR) and use case studies and practical experience to refine the integration. Consequently, this research aims at improving patient outcomes, reducing healthcare costs, and increasing the efficiency of health care delivery resulting from interoperability between Electronic Health Records (EHRs) and insurance systems.

Advancing hyperspectral imaging and machine learning tools toward clinical adoption in tissue diagnostics: A comprehensive review

Hyperspectral imaging (HSI) has become an evident transformative apparatus in medical diagnostics. The review aims to appraise the present advancement and challenges in HSI for medical applications. It features a variety of medical applications namely diagnosing diabetic retinopathy, neurodegenerative diseases like Parkinson's and Alzheimer's, which illustrates its effectiveness in early diagnosis, early caries detection in periodontal disease, and dermatology by detecting skin cancer. Regardless of these advances, the challenges exist within every aspect that limits its broader clinical adoption. It has various constraints including difficulties with technology related to the complexity of the HSI system and needing specialist training, which may act as a drawback to its clinical settings. This article pertains to potential challenges expressed in medical applications and probable solutions to overcome these constraints. Successful companies that perform advanced solutions with HSI in terms of medical applications are being emphasized in this study to signal the high level of interest in medical diagnosis for systems to incorporate machine learning ML and artificial intelligence AI to foster precision diagnosis and standardized clinical workflow. This advancement signifies progressive possibilities of HSI in real-time clinical assessments. In conclusion despite HSI has been presented as a significant advanced medical imaging tool, addressing its limitations and probable solutions is for broader clinical adoption.

A GPU Algorithm for Solving the Positions of New Pulsars

Timing newly discovered pulsars requires gradually building up a timing model that connects observations taken days to months apart. This sometimes can be challenging when our initial knowledge of the pulsar’s position is arcminutes off from its true position. Such a position error leads to significant arrival time shifts as a result of the Earth’s orbital motion. Traditional down-hill fitting timing algorithms become ineffective when our model predicts the wrong pulse rotations for our next observation. For some pulsars whose model prediction is not too far off, the correct rotation number could be found by trial-and-error methods. For the remaining challenging pulsars, a more generalized method is called for. This paper proposes a GPU-based algorithm that could exhaustively search a large area of trail positions for probable timing solutions. This could help find phase-connected timing solutions for new pulsars using brute force.

Fokker-Planck dynamics of two coupled van der Pol oscillators subjected to stochastic forcing.

We present probabilistic solutions to a pair of mutually coupled Van der Pol oscillators subjected to stochastic forcing. We consider three different types of coupling: reactive, dissipative, and nonlinear coupling. Using stochastic averaging, we derive the stationary Fokker-Planck equationfor each oscillator, yielding a probability density function for the fluctuation amplitude. For each coupling type, we numerically validate the Fokker-Planck solutions for different noise levels and coupling strengths, with a focus on the stochastic and bifurcation characteristics. The validated analytical expressions derived in this study could serve to improve the prediction and control of a generic class of coupled oscillator systems operating near the Hopf point in the presence of noise.

Unveiling Ayurveda Aahara and regulatory provisions

Food is vital for human health, providing energy, nutrients, and other essential benefits. Ensuring food safety is of the utmost importance and crucial, as highlighted by the World Health Organization, for maintaining proper nutrition. Ayurveda, the oldest living holistic healthcare system, emphasizes equally on wellness as well as therapeutic aspects by proposing its unique dietetic principles (Aahara) as a probable solution. This could also be observed since the demand for plant-based Ayurvedafood products is surging substantially. To uphold quality, safety, standards, and efficacy in Ayurvedafood products, the Ministry of Ayush and the Food Safety and Standards Authority of India (FSSAI) have taken the joint initiative to include a new category, that is, Ayurveda Aahara, under the ambit FSSAI regulations in May 2022. An attempt has been made to integrate Ayurveda food-related principles with contemporary scientific understanding within the regulatory framework, which is expected to strengthen India’s global position as a custodian of Ayurveda wellness practices through dietetics, thereby contributing toward United Nations Development Programme that is Sustainable development goals related to human health and wellbeing. In this manuscript, the data were collected from various online and offline sources.

Preface

The Second Edition of the International Congress on: Environment and Natural Resources: Challenges and Solutions (ENRSC2023) 30-31th, May 2023, Khenifra, Morocco About the ENRSC2023 Anthropogenic activities have progressed considerably over the last century, especially after the 1950s. The growth of the world population, industrialization, new technologies, the extension of agricultural activities at all levels due to the growing needs of the world population, the overexploitation of natural resources in different environments, etc., have been and remain the driving force behind an unbalanced model of development that has a negative impact on the environment and on natural resources. Indeed, the world is currently facing challenges at all scales, from micro- to macro-environmental issues. The serious challenges to be taken up are major concerning all physical environments - air, soil, and water. The degradation of habitats by various anthropogenic and/or natural activities has a direct impact on biodiversity and consequently on socio-economic development. The International Conference on Environment & Natural Resources: Challenges and Solutions allowed scientists from different universities and institutes to exchange and debate different themes on the environment and natural resources, their challenges, and probable solutions to reduce the environmental impact and suggest better natural resources management practices. Finally, the current global context proves to us, every day, that we must contribute each from one’s position to the mitigation of negative impacts, and that the urgency is to set up concrete and sustainable-integrated actions. After the success of the first edition of the International Congress: Environment and Natural Resources: Challenges and Solutions (ENRSC2021), the coordinating committee has decided to organise the second edition of the Congress 30-31th, May 2023. List of Congress Chairs, Keynote speakers, Organizing Committee, Scientific Committee and ENRSC2023 souvenirs are available in this Pdf.

A Perspective on Electrochemical Point Source Utilization of CO2 and Other Flue Gas Components to Value Added Chemicals.

Electrochemical CO2 reduction reaction (eCO2RR) has been explored extensively for mitigation of noxious CO2 gas generating C1 and C2+ hydrocarbons and oxygenates as value-added fuels and chemicals with remarkable selectivity. The source of CO2 being a pure CO2 feed, it does not fully satisfy the real-time digestion of industrial exhausts. Besides the detrimental effect of noxious gas mixture leading to global warming, there is a huge capital investment in purifying the flue gas mixtures from industries. The presence of other impurity gases affects the eCO2RR mechanism and its activity and selectivity toward C2+ products dwindle drastically. Impurities like NOx, SOx, O2, N2, and halide ions present in flue gas mixture reduce the conversion and selectivity of eCO2RR significantly. Instead of wiping out these impurities via separation processes, new strategies from material chemistry and electrochemistry can open new avenues for turning foes to friends! In this perspective, the co-electroreduction will vividly discussed and supporting role of different heteroatom-containing impurity gases with CO2, generating highly stable C─N, C─S, C─X bonds, and highlight the existing limitations and providing probable solutions for attaining further success in this field and translating this to industrial exhaust streams.

Optical multiscale model for quantification of photon recycling including incoherent light scattering

A comprehensive multiscale modeling framework for photon recycling in textured solar cells and LEDs is introduced, treating light absorption and emission on an equal footing under consideration of the full internal mode spectrum in the device. The framework seamlessly merges a coherent emission model, free from unphysical divergence and ensuring consistency with detailed balance principles, with an incoherent net-radiation model applied to optically thick layers. The scattering of light at nonplanar interfaces is taken into consideration through four characteristic mappings that depict the microscopic scattering process, which are calculated analytically or by using a Monte-Carlo ray-tracing method. The final output of the model consists of energy- and angle-resolved local emission, re-absorption, and energy flux rates for further coupling to electronic transport. To validate the model, it has been compared with analytical solutions for the re-absorption probability in an ideal semiconductor slab with either ideal Lambertian or flat surfaces. The comparison between analytical and numerical calculations shows excellent agreement.