Comprehensive Review Research Articles

A Comprehensive Review on Potential Molecular Drug Targets for the Management of Alzheimer's Disease.

Alzheimer's disease (AD) is an onset and incurable neurodegenerative disorder that has been linked to various genetic, environmental, and lifestyle factors. Recent research has revealed several potential targets for drug development, such as the prevention of Aβ production and removal, prevention of tau hyperphosphorylation, and keeping neurons alive. Drugs that target numerous ADrelated variables have been developed, and early results are encouraging. This review provides a concise map of the different receptor signaling pathways associated with Alzheimer's Disease, as well as insight into drug design based on these pathways. It discusses the molecular mechanisms of AD pathogenesis, such as oxidative stress, aging, Aβ turnover, thiol groups, and mitochondrial activities, and their role in the disease. It also reviews the potential drug targets, in vivo active agents, and docking studies done in AD and provides prospects for future drug development. This review intends to provide more clarity on the molecular processes that occur in Alzheimer's patient's brains, which can be of use in diagnosing and preventing the condition.

A Comprehensive Review on Chemistry and Biology of Tafamidis in Transthyretin Amyloidosis.

Transthyretin amyloid cardiomyopathy and Transthyretin amyloid peripheral neuropathy are progressive disease conditions caused by Transthyretin amyloidosis (ATTR) fibril infiltration in the tissue. Transthyretin (TTR) protein misfolding and amyloid fibril deposits are pathological biomarkers of ATTR-related disorders. There are various treatment strategies targeting different stages in pathophysiology. One such strategy is TTR tetramer stabilization. Recently, a new TTR tetramer stabilizer, tafamidis, has been introduced that reduces the protein misfolding and amyloidosis and, consequently, disease progression in ATTR cardiomyopathy and peripheral neuropathy. This review will provide a comprehensive overview of the literature on tafamidis discovery, development, synthetic methods, pharmacokinetics, analytical methods and clinical trials. Overall, 7 synthetic methods, 5 analytical methods and 23 clinical trials have been summarized from the literature.

Comprehensive Review on Recent Strategies for Management of Prostate Cancer: Therapeutic Targets and SAR.

Prostate cancer is a disease that is affecting a large population worldwide. Androgen deprivation therapy (ADT) has become a foundation for the treatment of advanced prostate cancer, as used in most clinical settings from neo-adjuvant to metastatic stage. In spite of the success of ADT in managing the disease in the majority of men, hormonal manipulation fails eventually. New molecules are developed for patients with various hormone-refractory diseases. Advancements in molecular oncology have increased understanding of numerous cellular mechanisms which control cell death in the prostate and these insights can lead to the development of more efficacious and tolerable therapies for carcinoma of the prostate. This review is focused on numerous therapies that might be a boon for prostate therapy like signaling inhibitors, vaccines, and inhibitors of androgen receptors. Along with these, various bioactive molecules and their derivatives are highlighted, which act as potential antiprostate cancer agents. This article also emphasized the recent advances in the field of medicinal chemistry of prostate cancer agents.

Alpha-band Brain Dynamics and Temporal Processing: An Introduction to the Special Focus.

For decades, the intriguing connection between the human alpha rhythm (an 8- to 13-Hz oscillation maximal over posterior cortex) and temporal processes in perception has furnished a rich landscape of proposals. The past decade, however, has seen a surge in interest in the topic, bringing new theoretical, analytic, and methodological developments alongside fresh controversies. This Special Focus on alpha-band dynamics and temporal processing provides an up-to-date snapshot of the playing field, with contributions from leading researchers in the field spanning original perspectives, new evidence, comprehensive reviews and meta-analyses, as well as discussion of ongoing controversies and paths forward. We hope that the perspectives captured here will help catalyze future research and shape the pathways toward a theoretically grounded and mechanistic account of the link between alpha dynamics and temporal properties of perception.

Therapeutic Potential of Piperine: A Comprehensive Review

Abstract: Piperine, an alkaloid from black pepper, has demonstrated diverse pharmacological properties and potential therapeutic applications. Piperine content varies with the pepper plant and ranges from 2 to 7.4% in black pepper. Piperine possesses remarkable biological properties, including antioxidant, anti-inflammatory, antibacterial, anticancer, neuroprotective, and hepatoprotective qualities. Its ability to affect numerous signaling pathways and biological targets implicated in disease development is responsible for these functions. Studies have shown piperine to have high antioxidant activity, which aids in reducing oxidative stress and preventing cellular damage. It has been established that its anti-inflammatory effects suppress the generation of pro-inflammatory mediators, thereby relieving inflammation-related diseases. This review emphasizes and examines piperine's medical and health-promoting benefits and proposed mechanisms of action in health promotion and illness prevention.

A Comprehensive Review on Synthesis of Silver Nano-particles: An Update

Abstract: Silver and silver salts have been used since the beginning of civilization, but silver nanoparticles (Ag NPs) have just recently been discovered. They have been employed as antioxidants and antibacterial, antifungal, and potential anticáncer agents in agriculture and medicine. Many bacteria, including Bacilluscereus, Staphylococcus aureus, Citrobacter koseri, Salmonella typhii, Pseudomonas aeruginosa, Escherichia coli, Klebsiella pneumoniae, Vibrio parahaemolyticus, and the fungus Candida albicans, were shown to be inhibited in their growth and multiplication by binding Ag/Ag+ to biomolecules that are present in microbial cells. Ag NPs are thought to create reactive oxygen species and free radicals, which cause apoptosis, cell death, and hinder cell reproduction. Ag NPs diffuse in side cells and break because they are smaller than bacteria. The researchers have developed numerous methods of their synthesis. The present review focused on the latest evidence related to silver nanoparticles, several methods of preparations, along with examples listed in the literature.

Comprehensive Review on Phytoconstituents-based Nanomedicine for the Treatment of Atopic Dermatitis.

Atopic dermatitis (AD) is known as a chronic disease characterized by eczematous and pruritus skin lesions. The pathology behind atopic dermatitis etiology is loss of epidermal barrier, which prevents the production of protein filaggrin that can induce T-cell infiltration and inflammation. Treatment of AD is majorly based on limiting skin repair as well as reducing inflammation and itching. There are several remedies available for the treatment of AD, such as Janus kinase and calcineurin inhibitors, topical corticosteroids, and phosphodiesterase-4 inhibitors. The conventional formulations in the market have limited safety and efficacy. Hence, effective treatment of atopic dermatitis requires the development of novel, efficacious, reliable, and specific therapies. Recent research data have revealed that some naturally occurring medicinal plants have potential applications in the management of AD through different mechanisms. The nanotechnology-based therapeutics have gained a lot of attention in the last decade for the improvement in the activity of drugs having low absorption due to poor solubility, thus leading to lesser bioavailability. Therapies based on nanotechnology can be an effective way to overcome these obstacles. Due to their effective propensity to provide better drug diffusion and bioavailability as well as drug targeting potential at the desired site of action, these approaches may have decreased adverse drug effects, better penetration, and enhanced therapeutic efficacy. Hence, this review highlights the potential of phytoconstituents-based novel formulations for the treatment of atopic dermatitis. Furthermore, recent patents on therapeutic approaches to atopic dermatitis have also been briefly described.

Molecular Pathway, Epidemiological Data and Treatment Strategies of Fungal Infection (Mycoses): A Comprehensive Review.

The recent increase in fungal infections is a health crisis. This surge is directly tied to the increase in immunocompromised people caused by changes in medical practice, such as the use of harsh chemotherapy and immunosuppressive medicines. Immunosuppressive disorders such as HIV have exacerbated the situation dramatically. Subcutaneous or superficial fungal infections can harm the skin, keratinous tissues, and mucous membranes. This category includes some of the most common skin disorders that impact millions of people worldwide. Despite the fact that they are seldom fatal, they can have a catastrophic impact on a person's quality of life and, in rare situations, spread to other people or become obtrusive. The majority of fungal infections under the skin and on the surface are simply and quickly cured. An opportunistic organism that preys on a weak host or a natural intruder can both result in systemic fungal infections. Furthermore, it might be exceedingly lethal and dangerous to one's life. Dimorphic fungi may pose a hazard to healthy populations that are not exposed to endemic fungi. Increased surveillance, the availability of quick, noninvasive diagnostic tests, monitoring the emergence of antifungal medication resistance, and research on the pathophysiology, prevention, and management of fungal infections are just a few potential solutions to these new health problems. The goal of this review is to summarize the data available for fungal infections and the different therapies which are involved in their treatment. Additionally, it also summarizes the molecular and scientific data of the plants which contain anti-fungal activity. Data are acquired using Google, PubMed, Scholar, and other online sources.

The Impact of Polycystic Ovary Syndrome (PCOS) on the Risk of Developing Ovarian Cancer and Thyroid Disorders: A Comprehensive Review.

Polycystic ovary syndrome (PCOS) is a common hormonal disorder that affects women. It is characterized by hyperandrogenism, polycystic ovarian morphology, and other related disorders. It is associated with various health conditions, such as infertility and increased risk of heart problems. Ovarian cancer is also a significant concern, as it is the fifth leading cause of death in women. While there is evidence suggesting a potential association between PCOS and ovarian cancer, the exact nature of this relationship remains unclear. Thyroid disorders, particularly hypothyroidism and Hashimoto's thyroiditis, have also been linked to PCOS. The presence of hypothyroidism can contribute to the development of polycystic ovarian morphology, affecting ovulation and hormone balance. Many works have shown a higher ubiquity of autoimmune thyroid disease in PCOS patients, indicating a potential association between the two conditions. The occurrence of PCOS, hirsutism, and acne underscores the frequency of endocrine disorders in women. This review paper examines the present relevant work on the association between PCOS and ovarian cancer as well as PCOS and thyroid disorders. A systematic literature search was conducted on the internet, such as PubMed, Scopus, and Google Scholar database, to identify peer-reviewed publications pertaining to PCOS, ovarian cancer, and thyroid disorders. While some studies have delineated a significant link between PCOS and ovarian cancer or thyroid disorders, others have yielded inconclusive results. Further research is necessary to establish a definitive causal relationship between these conditions. Understanding the relationship between PCOS, ovarian cancer, and thyroid disorders is crucial for early detection, accurate diagnosis, and effective management of these conditions. Identifying potential risk factors and developing appropriate screening strategies can improve women's health outcomes and reduce the burden associated with these disorders.

Proposed fog computing-enabled conceptual model for semantic interoperability in internet of things

Semantic interoperability has emerged as a key barrier amidst the major developments and challenges brought about by the rapid expansion of internet of things (IoT) applications. Establishing interoperability is essential for IoT systems to function optimally, especially across diverse organizations. Despite extensive research in achieving semantic interoperability, dynamic interoperability, a vital facet, remains inadequately addressed. This paper addresses this gap by presenting a fog-based conceptual model designed to facilitate dynamic semantic interoperability in IoT. The model incorporates a single-tier fog layer, providing the necessary processing capabilities to achieve this goal. The study conducts a comprehensive literature review on semantic interoperability, emphasizing latency, bandwidth, total cost, and energy consumption. Results demonstrate the proposed double skin façade (DSF) model’s remarkable 88% improvement in service delay over IoT-SIM and Open IoT, attributed to its efficient load-offloading mechanism and optimized fog layer, offering a 50% reduction in service delay, power consumption, and 86% reduction in network usage compared to existing approaches through data redundancy elimination via pre-processing at the fog layer.

Extreme Weather Events and Expected Parental Roles in Bangladesh and Beyond: A Review of Literature

Abstract Extreme weather events (EWEs) linked to climate change are expected to increase in frequency in the coming years, putting the entire world in danger. Parents exert a significant influence on the lives of their children and the overall function of the family unit. However, natural disasters have a significant impact on daily life and pose an immediate danger, resulting in loss of life, injuries, and property damage. In addition, disasters can also have an impact on the responsibilities that parents play in their house. This study examines the evolving dynamics of parental roles in the context of EWEs, examining the shifting expectations and actual realities of fatherhood and motherhood. The study examines the various effects of EWEs on family structures, gender roles, and parental obligations by conducting a comprehensive review of 30 relevant articles. Our findings indicate that in severe weather conditions, men tend to adopt the position of “father” and are perceived as heroic figures, rescuers, and guardians/protectors who prioritize the well-being of their children and families, as well as take on financial obligations. On the other hand, women are often viewed as caregivers/rescuers/victims during such conditions. Moreover, in many countries, women are expected to care for other family members, including younger children and the elderly, which may limit their mobility during severe weather. Extreme weather conditions affect men and women differently, and there may also be significant differences in gender-related expectations and dimensions within a country. It is therefore essential to thoroughly study how these roles change in response to extreme weather events. We recommend conducting additional rigorous studies, both quantitative and qualitative, to comprehensively examine this relationship. This study will aid in designing initiatives aimed at fostering parenting attributes, particularly in regions susceptible to disasters.

Advancing Sustainable Energy Management: A Comprehensive Review of Artificial Intelligence Techniques in Building

Advancing Sustainable Energy Management: A Comprehensive Review of Artificial Intelligence Techniques in Building

A Comprehensive Survey on Community Detection With Deep Learning.

Detecting a community in a network is a matter of discerning the distinct features and connections of a group of members that are different from those in other communities. The ability to do this is of great significance in network analysis. However, beyond the classic spectral clustering and statistical inference methods, there have been significant developments with deep learning techniques for community detection in recent years--particularly when it comes to handling high-dimensional network data. Hence, a comprehensive review of the latest progress in community detection through deep learning is timely. To frame the survey, we have devised a new taxonomy covering different state-of-the-art methods, including deep learning models based on deep neural networks (DNNs), deep nonnegative matrix factorization, and deep sparse filtering. The main category, i.e., DNNs, is further divided into convolutional networks, graph attention networks, generative adversarial networks, and autoencoders. The popular benchmark datasets, evaluation metrics, and open-source implementations to address experimentation settings are also summarized. This is followed by a discussion on the practical applications of community detection in various domains. The survey concludes with suggestions of challenging topics that would make for fruitful future research directions in this fast-growing deep learning field.

Valeriana jatamansi: Bioactive Compounds and their Medicinal Uses.

Valeriana jatamansi is a reputed perennial medicinal herb distributed throughout the world, where it is used in cytotoxicity, neuronal problems, insomnia, leishmania and acetylcholinesterase inhibitor, antioxidant, antiviral and α-glucosidase inhibition activities. This review describes the current state of chemical characterization of isolated metabolites, which are well accepted for the treatment of various ailments in the indigenous system of medicine. This comprehensive review covers previously published research articles and reviews up to 2023 with an emphasis on the structural characterization of isolated bioactive compounds using different analytical techniques. Furthermore, the present review also focuses on the detailed medicinal and pharmacological properties of isolated compounds from this threatened herb.

A Review of the Interactions between Tropical Cyclones and Environmental Vertical Wind Shear

Abstract Tropical cyclone (TC) structure and intensity are strongly modulated by interactions with deep-layer vertical wind shear (VWS)—the vector difference between horizontal winds at 200 and 850 hPa. This paper presents a comprehensive review of more than a century of research on TC–VWS interactions. The literature broadly agrees that a TC vortex becomes vertically tilted, precipitation organizes into a wavenumber-1 asymmetric pattern, and thermal and kinematic asymmetries emerge when a TC encounters an environmental sheared flow. However, these responses depend on other factors, including the magnitude and direction of horizontal winds at other vertical levels between 200 and 850 hPa, the amount and location of dry environmental air, and the underlying sea surface temperature. While early studies investigated how VWS weakens TCs, an emerging line of research has focused on understanding how TCs intensify under moderate and strong VWS (i.e., shear magnitudes greater than 5 m s−1). Modeling and observational studies have identified four pathways to intensification: vortex tilt reduction, vortex reformation, axisymmetrization of precipitation, and outflow blocking. These pathways may not be uniquely different because convection and vortex asymmetries are strongly coupled to each other. In addition to discussing these topics, this review presents open questions and recommendations for future research on TC–VWS interactions.

A Review of Robust Machine Scheduling

Robust optimization (RO) has been recognized as an effective means to deal with unanticipated events in highly uncertain and risky environments. This paper systematically reviews two types of emerging RO machine scheduling approaches—robust machine scheduling (R-MS) and distributionally R-MS (DR-MS) methods—which usually offer tractable formulations and analytical results for machine scheduling problems under uncertainty. First, after highlighting the advantages of RO methods over the stochastic approach in terms of tractability and robustness, we use the bibliometric method to analyze the literature related to R-MS/DR-MS problems and classify them from the following aspects: (1) uncertain factors, (2) uncertainty descriptions, (3) robustness criteria, (4) machine environments and (5) solution methods. Second, we discuss the uncertainty descriptions, and the robust feasibility and robust optimality criteria. We further provide a state-of-the-art review of R-MS/DR-MS models in different machine environments and discuss the performance of the R-MS/DR-MS models. Third, we review and discuss the existing exact, approximation, online, and heuristic solution methods for solving R-MS/DR-MS models. Finally, we present future research opportunities in two promising areas: green machine scheduling problems and machine learning-enabled algorithms. <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Note to Practitioners</i> —Machine scheduling plays an essential role in industrial and service systems, such as manufacturing, power generation, transportation and medical systems. However, in practice, scheduling systems usually operate in highly uncertain environments due to noisy measurements, prediction errors, and implementation deviations. To ensure robust feasibility and robust optimality, robust machine scheduling (R-MS) and distributionally R-MS (DR-MS) approaches have been recently proposed to hedge against the uncertainties related to processing time, release time, due date, machine breakdown, etc. This paper provides a comprehensive review of the R-MS/DR-MS models and algorithms in different machine environments from the aspects of uncertainty descriptions, robustness criteria and solution methods. This paper further highlights the challenges of R-MS problems and provides promising and valuable research opportunities in terms of problem formulations and algorithm designs.

Classification Based on Ethnicity and Race: A Comprehensive Review

Classification Based on Ethnicity and Race: A Comprehensive Review

A Survey: Fake News Detection Mobile App Using Machine Learning

Abstract: With the proliferation of digital information, the challenge of identifying and mitigating the spread of fake news has become increasingly crucial. This research paper provides a comprehensive review of existing technologies designed for the detection of fake news, with a particular focus on their adaptation to mobile applications. The study delves into various approaches, including natural language processing, machine learning algorithms, and deep learning models, highlighting their strengths and limitations. Additionally, it explores the integration of user-generated content analysis and social network features in enhancing the accuracy of fake news detection on mobile platforms. By synthesizing insights from recent advancements, this paper aims to inform the development of an effective mobile app for mitigating the impact of fake news in the digital landscape.

“Unlocking the Therapeutic Potential: A Comprehensive Review of the Pharmacological Activities of Shiitake Mushroom (Lentinula edodes)"

Abstract: Worldwide, edible mushrooms are prized for their medical and nutraceutical qualities. Because of their high protein content, low fat and cholesterol levels, low-calorie content, and abundance of vital vitamins, they are acknowledged as the new superfood of the future. This is considered that mushrooms are the only vegetarian source of vitamin D because they contain high amount of ergosterol and fat-soluble vitamins. Limited information exists regarding the composition and amount of fiber, although polysaccharides such as β-glucans increase the nutritional value of mushrooms. Mushrooms are a fantastic food because of their many pharmacological and nutraceutical qualities, as has been noted. Shiitake mushrooms are nutrient-dense, widely farmed fungal plants and possess various pharmacological and nutraceutical properties. The purpose of this review is to compile the most recent information on the health advantages and medicinal uses of shiitake mushrooms.

Design and Implementation of SRAM Using Verilog

Abstract: This comprehensive review delves into the intricate realm of the Static Random-Access Memory (SRAM) design and implementation, elucidating its pivotal role in shaping the performance, efficiency, and reliability of contemporary electronic systems, involving applications in ASIC devices. With a primary focus on the integration of Verilog, a hardware description language (HDL), the paper provides an in-depth background on SRAM, meticulously detailing its architecture, operation, and overall significance in electronic systems. The review meticulously addresses challenges inherent in SRAM design, encompassing considerations such as power consumption, speed, and area efficiency. Significantly, it underscores the crucial role of Verilog by delving into its syntax, modules, and procedural constructs, showcasing its application in modeling key SRAM components. The discussion extends to design trade-offs, including size, speed, and power consumption, illustrating how Verilog plays a pivotal role in facilitating optimal parameter optimization. The review seamlessly integrates technical concepts like RTL (Register Transfer Level), and procedural assignments, ensuring a comprehensive exploration of SRAM design intricacies. Additionally, it introduces terms such as testbench, bitcell and power reduction, further enhancing the reader's understanding of the complex interplay between Verilog and SRAM design.