Current Advances Research Articles

Research progress on the roles of actin-depolymerizing factor in plant stress responses.

Actin-depolymerizing factors (ADFs) are highly conserved small-molecule actin-binding proteins found throughout eukaryotic cells. In land plants, ADFs form a small gene family that displays functional redundancy despite variations among its individual members. ADF can bind to actin monomers or polymerized microfilaments and regulate dynamic changes in the cytoskeletal framework through specialized biochemical activities, such as severing, depolymerizing, and bundling. The involvement of ADFs in modulating the microfilaments' dynamic changes has significant implications for various physiological processes, including plant growth, development, and stress response. The current body of research has greatly advanced our comprehension of the involvement of ADFs in the regulation of plant responses to both biotic and abiotic stresses, particularly with respect to the molecular regulatory mechanisms that govern ADF activity during the transmission of stress signals. Stress has the capacity to directly modify the transcription levels of ADF genes, as well as indirectly regulate their expression through transcription factors such as MYB, C-repeat binding factors, ABF, and 14-3-3 proteins. Furthermore, apart from their role in regulating actin dynamics, ADFs possess the ability to modulate the stress response by influencing downstream genes associated with pathogen resistance and abiotic stress response. This paper provides a comprehensive overview of the current advancements in plant ADF gene research and suggests that the identification of plant ADF family genes across a broader spectrum, thorough analysis of ADF gene regulation in stress resistance of plants, and manipulation of ADF genes through genome-editing techniques to enhance plant stress resistance are crucial avenues for future investigation in this field.

Current Status and Advancement of Nanomaterials within Polymeric Membranes for Water Purification

Current Status and Advancement of Nanomaterials within Polymeric Membranes for Water Purification

A review of green hydrogen production by renewable resources

Abstract This comprehensive review delves into the burgeoning field of green hydrogen production through the utilization of renewable resources. As the global demand for clean and sustainable energy escalates, green hydrogen has emerged as a promising solution, garnering significant attention due to its potential to decarbonize various sectors. The study encapsulates a thorough exploration of the key methodologies employed in harnessing renewable sources such as wind, solar, and hydroelectric power for hydrogen generation. The analysis encompasses both technological aspects and environmental implications, shedding light on efficiency, scalability, and feasibility. Moreover, the review evaluates the economic viability and policy frameworks that underpin the integration of green hydrogen into existing energy systems. By synthesizing findings from a multitude of research endeavors, this study underscores the current advancements, challenges, and future prospects in the realm of green hydrogen production. Ultimately, this review not only contributes to a deeper understanding of sustainable energy pathways but also provides insights that can guide the evolution of green hydrogen technologies toward a more environmentally conscious and energy-abundant future.

Developing a Sustainable Framework For Cross Border Inland Port

The significance of the cross-border inland port linking southern Thailand and northern Malaysia has experienced notable expansion over time, mostly driven by economic development and the substantial increase in export demand from the far east market. Currently, there are ongoing development activities for the establishment of two additional inland ports at the Malaysian border. The current capacity of the Padang Besar Cargo Terminal (PBCT), an inland port, is insufficient to satisfy the demand. The Thai government has recently unveiled a series of new projects and enhancements to logistical infrastructures in the southern part of Thailand, which are indicative of the potential for economic growth in the area. The necessity to perform this study arises from the current advancements and the absence of empirical investigation into the parameters associated with the sustainability of a cross-border inland port. This study aims to examine the various difficulties and aspects that can potentially affect the long-term sustainability of a transnational inland port. It will explore the challenges, critical success factors, and impacts associated with cross-border inland ports. Upon the culmination of the investigation, a conceptual framework for cross-border inland ports is put out, alongside a comprehensive evaluation of its potential effects. This study takes a mixed methodology approach, utilizing interviews, on-site observations, desk research, and the Analytical Hierarchy Process (AHP) for data collecting and analysis. The findings of the study brought attention to the three fundamental elements of the framework, namely challenges, critical success factors, and impacts. Additionally, the responsibilities played by stakeholders were identified, along with a proposed strategy for establishing a sustainable cross-border inland port. This paper also provides an analysis of the impact assessment of a cross-border inland port, focusing on the three pillars of sustainability: people, planet, and profit. The research is expected to offer significant insights that can be utilized for strategic planning and decision-making by the relevant governing body and operators of inland ports.

SOWANS E-TB Application Innovation on Quality of Life and Medication Compliance in MDR-TB Patients

Background: Tuberculosis (TB) is a direct infectious disease caused by Mycobacterium Tuberculosis. WHO reported that during 2014 – 2016, almost 89% of the world's population suffered from TB. Furthermore, the 2017 WHO report showed that there were 14 countries in the world that experienced a double burden of TB such as sensitive TB, MDR-TB and TB/HIV. WHO estimates that there are 23,000 cases of MDR/RR in Indonesia. Purpose: The general aim of this research is to determine the effectiveness of the telemedicine system on the quality of life and medication adherence of MDR-TB patients. Creation of the SOWANS E-TBS telemedicine system in the form of an application and website that helps treat MDR-TB patients. Methods: This research method is quasi experimental. Where a treatment group and a control group will be formed. The treatment group will be given the E-TB SOWANS application. Then compared with the control group. Both groups will be given quality of life questionnaires and medication adherence before and after treatment. Results: The distribution of MDR TB patients based on the intervention and control groups showed that 20 MDR TB patients received treatment (53.6%), while the number of patients in the control group was 18 people (47.4%). MDR TB patients based on treatment compliance showed that MDR TB patients who had non-adherence to treatment were 11 (28.9%) patients, and those who were adherent to treatment. Conclusion: Based on the research results and discussion by referring back to the problem formulation and hypothesis, it can be concluded that there is an influence of the E-TBCS application innovation on the quality of life of MDR-TB patients. Current advances in technology 4.0 can help improve the quality of life of MDR-TB patients. Keywords: Application; Telemedicine; Counseling; SOWANS; Tuberculosis

The role of GATA2 in adult hematopoiesis and cell fate determination.

The correct maintenance and differentiation of hematopoietic stem cells (HSC) in bone marrow is vital for the maintenance and operation of the human blood system. GATA2 plays a critical role in the maintenance of HSCs and the specification of HSCs into the different hematopoietic lineages, highlighted by the various defects observed in patients with heterozygous mutations in GATA2, resulting in cytopenias, bone marrow failure and increased chance of myeloid malignancy, termed GATA2 deficiency syndrome. Despite this, the mechanisms underlying GATA2 deficiency syndrome remain to be elucidated. The detailed description of how GATA2 regulates HSC maintenance and blood lineage determination is crucial to unravel the pathogenesis of GATA2 deficiency syndrome. In this review, we summarize current advances in elucidating the role of GATA2 in hematopoietic cell fate determination and discuss the challenges of modeling GATA2 deficiency syndrome.

Current Advances in the Regulatory Effects of Bioactive Compounds from Dietary Resources on Nonalcoholic Fatty Liver Disease: Role of Autophagy.

Nonalcoholic fatty liver disease (NAFLD) is the most prevalent chronic liver disease characterized by lipid metabolic disorder primarily due to sedentary lifestyles and excessive food consumption. However, there are currently no approved and effective drugs available to treat NAFLD. In recent years, research has shown that dietary bioactive compounds, such as polysaccharides, polyphenols, flavones, and alkaloids, have the potential to improve NAFLD by regulating autophagy. However, there is no up-to-date review of research progress in this field. This review aims to systematically summarize and discuss the regulatory effects and molecular mechanisms of dietary bioactive compounds on NAFLD through the modulation of autophagy. The existing research has demonstrated that some dietary bioactive compounds can effectively improve various aspects of NAFLD progression, such as lipid metabolism, insulin resistance (IR), endoplasmic reticulum (ER) stress, oxidative stress, mitochondrial homeostasis, and inflammation. Molecular mechanism studies have revealed that they exert their beneficial effects on NAFLD through autophagy-mediated signaling pathways, predominantly involving transcription factor EB (TFEB), mammalian target of rapamycin (mTOR), adenosine monophosphate-activated protein kinase (AMPK), peroxisome proliferator-activated receptors (PPARs), SIRT, and PTEN-induced kinase 1 (PINK1)/parkin. Furthermore, the challenges and prospects of current research in this field are highlighted. Overall, this review provides valuable insights into the potential treatment of NAFLD using dietary bioactive compounds that can modulate autophagy.

A Systematic Review on Potential Bio Leather Substitute for Natural Leather

Bio-based leather substitutes are an emerging class of ethically and environmentally responsible natural fabrics that are increasingly exceeding consumer aesthetic and functional expectations as an alternative to bovine and synthetic leathers. This literature review creates a clear and elaborative overview of conventional leather processing along with innovative potential bio-leather substitutes. Plant-driven, fungal-origin, bacterial-driven, and animal-origin bio-leathers are the current innovative research advances addressed in this literature. While traditional leather and its alternatives are sourced from animals and synthetic polymers, these renewable and sustainable leather substitutes are gained from bacterial cellulose, mycelium, plant cellulose, and animal cells using tissue engineering and other eco-friendly techniques. In conclusion, bio-based leather alternatives are eco-friendly, non-toxic, and sustainable and ultimately can substitute natural leather made by conventional processing.

The regulatory role and clinical application prospects of circRNA in the occurrence and development of CNS tumors.

Central nervous system (CNS) tumors originate from the spinal cord or brain. The study showed that even with aggressive treatment, malignant CNS tumors have high mortality rates. However, CNS tumor risk factors and molecular mechanisms have not been verified. Due to the reasons mentioned above, diagnosis and treatment of CNS tumors in clinical practice are currently fraught with difficulties. Circular RNAs (circRNAs), single-stranded ncRNAs with covalently closed continuous structures, are essential to CNS tumor development. Growing evidence has proved the numeral critical biological functions of circRNAs for disease progression: sponging to miRNAs, regulating gene transcription and splicing, interacting with proteins, encoding proteins/peptides, and expressing in exosomes. This review aims to summarize current progress regarding the molecular mechanism of circRNA in CNS tumors and to explore the possibilities of clinical application based on circRNA in CNS tumors. We have summarized studies of circRNA in CNS tumors in Pubmed. This review summarized their connection with CNS tumors and their functions, biogenesis, and biological properties. Furthermore, we introduced current advances in clinical RNA-related technologies. Then we discussed the diagnostic and therapeutic potential (especially for immunotherapy, chemotherapy, and radiotherapy) of circRNA in CNS tumors in the context of the recent advanced research and application of RNA in clinics. CircRNA are increasingly proven to participate in decveloping CNS tumors. An in-depth study of the causal mechanisms of circRNAs in CNS tomor progression will ultimately advance their implementation in the clinic and developing new strategies for preventing and treating CNS tumors.

Early Detection of Bark Beetle Attack Using Remote Sensing and Machine Learning: A Review

Bark beetle outbreaks can have serious consequences on forest ecosystem processes, biodiversity, forest structure and function, and economies. Thus, accurate and timely detection of bark beetle infestations in the early stage (known as green-attack detection) is crucial to mitigate the further impact, develop proactive forest management activities, and minimize economic losses. Incorporating remote sensing (RS) data with machine learning (ML) (or deep learning (DL)) can provide a great alternative to the current approaches that primarily rely on aerial surveys and field surveys, which can be impractical over vast areas. Existing approaches that exploit RS and ML/DL exhibit substantial diversity due to the wide range of factors involved. This article provides a comprehensive review of past and current advances in green-attack detection from three primary perspectives: bark beetle and host interactions, RS, and ML/DL. In contrast to prior efforts, this review encompasses all RS systems and emphasizes ML/DL methods to investigate their strengths and weaknesses. We parse existing literature based on multi- or hyperspectral analyses and distill their knowledge based on bark beetle species and attack phases with a primary emphasis on early stages of attacks, host trees, study regions, RS platforms and sensors, spectral/spatial/temporal resolutions, spectral signatures, spectral vegetation indices, ML approaches, learning schemes, task categories, models, algorithms, classes/clusters, features, and DL networks and architectures. Although DL-based methods and the random forest algorithm showed promising results, highlighting their potential to detect subtle changes across visible, thermal, and short-wave infrared spectral regions, their effectiveness remains limited, and high uncertainties persist due to the subtle distinctions between healthy and attacked trees. To inspire novel solutions to these shortcomings, we delve into the principal challenges and opportunities from different perspectives, enabling a deeper understanding of the current state of research and guiding future research directions.

A Comprehensive Review on Deep Learning for Accurate Papaya Disease Identification

This comprehensive review delves into the application of deep learning techniques for the precise identification of papaya diseases. With the increasing importance of papaya as a major tropical fruit crop, the accurate and timely diagnosis of diseases is crucial for effective disease management. The paper synthesizes recent advancements in deep learning methodologies, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and their variants, applied to image-based disease identification in papaya plants. The review assesses the strengths and limitations of various deep learning models, explores the integration of multi-modal data sources, and evaluates the performance metrics employed for disease detection accuracy. Additionally, the study discusses challenges and future directions in leveraging deep learning for papaya disease identification, aiming to provide a comprehensive understanding of the current state and potential advancements in this critical agricultural domain.

Continuous monitoring with implantable loop recorder detects arrhythmic risk in adults with systemic right ventricle following atrial switch

Abstract Background Patients with a systemic right ventricular circulation following atrial switch are at high risk of sudden death despite current monitoring strategies and advances in heart failure management. Arrhythmia represents a significant risk factor and early detection and intervention is of great value. The current surveillance approach with intermittent ambulatory monitoring is limited and cumbersome. Purpose We hypothesise that continuous rhythm monitoring with an implantable loop recorder (ILR) in the systemic right ventricle population will allow early detection of clinically significant arrhythmias. Methods Patients under follow up with a systemic right ventricular circulation following atrial switch were offered ILR implantation as an alternative to the standard of care (ambulatory 24-hour ECG). Patients with pre-existing intra-cardiac pacing devices or palliative were excluded. Following implantation, recordings made with symptoms or automatically following detection of significant arrhythmias. This included pauses over 3 seconds, atrioventricular block or supraventricular tachycardia. Transmission were reviewed daily and significant findings discussed in an adult congenital heart disease and electrophysiology MDT. Patients otherwise had routine clinical care. Results 24 patients had implantation of a loop recorder (67% of eligible cohort). They were aged 29-49 years (median 35 years) and 50% had additional lesions. Right ventricular function was normal in 42% and 29% had moderate or severe tricuspid regurgitation. 75% of the cohort were NYHA classification I. All but one patient were in sinus rhythm and 8 (33%) had previous intra-atrial re-entry tachycardia (IART). No patient had previously documented significant conduction disease. Implants were undertaken over 6 years without complications. 18 patients (75%) had automated or symptom activated recordings (52% automated) with a median of 2.8 recordings per patient (range 0 – 8 per patient) over 39.5 months (1.6 – 72.5 months). The recordings were clinically significant in 64% of the cohort (Table). This included 2 (9% of entire cohort) patients with atrioventricular block only, 11 patients (46%) with IART only and 4 patients (17%) with both IART and conduction disease (1 with atrioventricular block). These recordings resulted in 5 pacemaker implants (3 for atrioventricular block) and 2 further patients declined a device (1 subsequent death). 4 patients underwent, or are awaiting, ablation for IART. Risk scoring for sudden death did not predict arrhythmia events or atrioventricular block (1) (Figure). Conclusions Empirical ILR implantation in this low-risk systemic right ventricle cohort was well tolerated and detected a high burden of significant arrhythmias requiring intervention. Arrythmias were not predicted by risk scoring. This monitoring approach is an effective alternative to intermittent ambulatory surveillance however the impact on sudden death is unclear.

Current Advances on Nanomaterials Interfering with Lactate Metabolism for Tumor Therapy.

Increasing numbers of studies have shown that tumor cells prefer fermentative glycolysis over oxidative phosphorylation to provide a vast amount of energy for fast proliferation even under oxygen-sufficient conditions. This metabolic alteration not only favors tumor cell progression and metastasis but also increases lactate accumulation in solid tumors. In addition to serving as a byproduct of glycolytic tumor cells, lactate also plays a central role in the construction of acidic and immunosuppressive tumor microenvironment, resulting in therapeutic tolerance. Recently, targeted drug delivery and inherent therapeutic properties of nanomaterials have attracted great attention, and research on modulating lactate metabolism based on nanomaterials to enhance antitumor therapy has exploded. In this review, the advanced tumor therapy strategies based on nanomaterials that interfere with lactate metabolism are discussed, including inhibiting lactate anabolism, promoting lactate catabolism, and disrupting the "lactate shuttle". Furthermore, recent advances in combining lactate metabolism modulation with other therapies, including chemotherapy, immunotherapy, photothermal therapy, and reactive oxygen species-related therapies, etc., which have achieved cooperatively enhanced therapeutic outcomes, are summarized. Finally, foreseeable challenges and prospective developments are also reviewed for the future development of this field.

Drug Repurposing: Insights into Current Advances and Future Applications.

Drug development is a complex and expensive process that involves extensive research and testing before a new drug can be approved for use. This has led to a limited availability of potential therapeutics for many diseases. Despite significant advances in biomedical science, the process of drug development remains a bottleneck, as all hypotheses must be tested through experiments and observations, which can be time-- consuming and costly. To address this challenge, drug repurposing has emerged as an innovative strategy for finding new uses for existing medications that go beyond their original intended use. This approach has the potential to speed up the drug development process and reduce costs, making it an attractive option for pharmaceutical companies and researchers alike. It involves the identification of existing drugs or compounds that have the potential to be used for the treatment of a different disease or condition. This can be done through a variety of approaches, including screening existing drugs against new disease targets, investigating the biological mechanisms of existing drugs, and analyzing data from clinical trials and electronic health records. Additionally, repurposing drugs can lead to the identification of new therapeutic targets and mechanisms of action, which can enhance our understanding of disease biology and lead to the development of more effective treatments. Overall, drug repurposing is an exciting and promising area of research that has the potential to revolutionize the drug development process and improve the lives of millions of people around the world. The present review provides insights on types of interaction, approaches, availability of databases, applications and limitations of drug repurposing.

The bittersweet of consumer–human brand relationships in the social media context

AbstractThe current research proposes an integrated model to investigate both the bright and the dark sides of consumer–human brand relationships facilitated by social media on consumers' lives. Grounded in the duality of social media and self‐regulation theory, the findings show that human brand attachment improves consumers' daily performance through stress relief, which in turn increases life satisfaction (Study 1). However, the findings also indicate that human brand attachment can cause consumers' daily performance to deteriorate as a result of compulsive human brand consumption on social media and human brand‐personal conflict, which diminishes life satisfaction (Study 2). Collectively, the findings may suggest that strong consumer–human brand relationships tend to be detrimental to consumers' well‐being as the indirect negative impact of human brand attachment on daily performance and life satisfaction overpowers its indirect positive impact (Study 3). Such detrimental effects are moderated by self‐regulatory focus (Study 4). Moreover, the findings indicate that the indirect negative effect of human brand attachment is attenuated when consumers have a higher level of work/study–life balance. Accordingly, the current research advances the theoretical understanding of the consumer–human brand relationship facilitated by social media, by highlighting its dual effects associated with the nature of technology and consumers' self‐regulatory focuses.

The Management of Chronic Pain: Re-Centring Person-Centred Care.

The drive for a more person-centred approach in the broader field of clinical medicine is also gaining traction in chronic pain treatment. Despite current advances, a further departure from 'business as usual' is required to ensure that the care offered or received is not only effective but also considers personal values, goals, abilities, and day-to-day realities. Existing work typically focuses on explaining pain symptoms and the development of standardised interventions, at the risk of overlooking the broader consequences of pain in individuals' lives and individual differences in pain responses. This review underscores the importance of considering additional factors, such as the influence of chronic pain on an individual's sense of self. It explores innovative approaches to chronic pain management that have the potential to optimise effectiveness and offer person-centred care. Furthermore, it delves into research applying hybrid and individual formulations, along with self-monitoring technologies, to enhance pain assessment and the tailoring of management strategies. In conclusion, this review advocates for chronic pain management approaches that align with an individual's priorities and realities while fostering their active involvement in self-monitoring and self-management.

Economic integration and stock market linkages: evidence from South Africa and BRIC

PurposeThis study examines the impact of regional economic integration (REI) on stock market linkages in the BRICS (Brazil, Russia, India, China and South Africa) economic bloc. In this type of study, the BRICS framework is an appealing empirical case, given its uncommon characteristics. For example, BRICS member states come from remote geographic locations (Africa, Asia, Europe and South America) and have contrasting socioeconomic profiles.Design/methodology/approachAn empirical design is framed from the perspective of bilateral trade between South Africa and BRIC. The author accepts trade intensity as a proxy of regional economic integration and then examines the resulting effect on the stock market co-movement within BRIC. The study applies a two-step econometric procedure of the BEKK-MGARCH and panel data models.FindingsOverall, bilateral trade, as a proxy of economic inwctegration, is associated with an increase in stock market integration. This positive relationship is particularly observed during episodes of surplus trade, and more interestingly, was initiated three years after BRICS’ existence and continues to grow at an increasing rate.Practical implicationsThe study outcome should benefit international trade practitioners and global investors interested in portfolio diversification or concerned with risk spillovers.Originality/valueFirst, notwithstanding South Africa's significant economic presence in the African continent, to the best of the author’s knowledge, this is the first study to empirically evaluate the BRICS economic integration on their stock market linkages from the perspective of South Africa. The value of this contribution is that further work may investigate the bidirectional spillover impact conveyed by South Africa's trade interactions within the juxtaposition of Africa and BRICS economies. Second, given that research on REI and stock market integration has historically concentrated on mature regional blocs of Europe, Asia, South and North America, the current study advances knowledge while correcting the prevailing literature imbalance.

Heterosis in horticultural crop breeding: combining old theoretical bases with modern genomic views

Heterosis in plants has been among the challenging topics for plant scientists worldwide. The production of F1 hybrid varieties of seed-propagated horticultural species is one of the most successful applications of plant breeding techniques. The exploitation of the heterosis phenomenon promotes homogeneity and maximizes crop yields and is a way for breeders to legally control and protect their commercial products. In the past heterosis has been largely studied and explored in cereal crop systems, considering maize as a model for understanding the genetic bases of this phenomenon. To date, crossbreeding in horticultural vegetables has also rapidly progressed. F1 hybrid varieties are available for many horticultural crops, including both allogamous and autogamous species. Several genetic and nongenetic mechanisms have been applied to facilitate the large-scale production of F1 hybrid seeds in vegetable crops to prevent undesirable selfing. Although the development and commercialization of F1 hybrids is currently common in agriculture, this phenomenon is still being investigated at different levels. With the rapid accumulation of knowledge on plant genome structures and gene activities and the advancement of new genomics platforms and methodologies, significant progress has been achieved in recent years in the study of the genetic and molecular bases of heterosis. This paper provides a brief overview of current theoretical advances and practical predictions of the molecular mechanisms underlying heterosis in plants. The aim is to carefully summarize the fundamental mechanisms of heterosis in plants, focusing on horticultural plant breeding, to improve the existing knowledge in this research area. We describe the quantitative genetic model of phenotypic variation and combine evolutionary, phenotypic and molecular genetic views to explain the origin and manifestation of heterosis and its significance for breeding F1 hybrid varieties in horticultural crops. The principles of genomic prediction and its applications in genomic selection are then covered.

Anti-atherosclerosis mechanisms associated with regulation of non-coding RNAs by active monomers of traditional Chinese medicine.

Atherosclerosis is the leading cause of numerous cardiovascular diseases with a high mortality rate. Non-coding RNAs (ncRNAs), RNA molecules that do not encode proteins in human genome transcripts, are known to play crucial roles in various physiological and pathological processes. Recently, researches on the regulation of atherosclerosis by ncRNAs, mainly including microRNAs, long non-coding RNAs, and circular RNAs, have gradually become a hot topic. Traditional Chinese medicine has been proved to be effective in treating cardiovascular diseases in China for a long time, and its active monomers have been found to target a variety of atherosclerosis-related ncRNAs. These active monomers of traditional Chinese medicine hold great potential as drugs for the treatment of atherosclerosis. Here, we summarized current advancement of the molecular pathways by which ncRNAs regulate atherosclerosis and mainly highlighted the mechanisms of traditional Chinese medicine monomers in regulating atherosclerosis through targeting ncRNAs.

A Systematic Literature Review on Computational Fashion Wearables

Computational wearables are redefining our presence in the world and transforming our lifestyles by engendering a seamless connection between the wearer and the worn. Despite numerous original studies on the development as well as the current advances of wearables, a systematic review from the standpoint of fashion seems to be lacking. Thus, this systematic review aimed to explore the current state of research on computational fashion in wearables’ literature in terms of the key domains, theoretical models, materials, interaction modalities, and existing gaps. To this aim, the authors built a search string based on the keywords in related topics and conducted the research using Scopus databases. As a result, a total of 4777 papers between January 1990 to August 2021 were screened and 82 research study papers finally passed the inclusion-exclusion criteria for the purpose of the review. The results display: first, computational wearables’ studies are becoming more inclined towards the aesthetic aspects of fashion wearables; second, although the functional aspects of the design processes received more attention, embodiment was the most discussed theory in the included studies; third, the extensive application of fabric implied the need for new fabrics with both smart quality and flexibility to afford aesthetic aspects; fourth, ambient data as input modalities received extensive attention in fashion wearables; fifth, kinetic output modalities as novel modes of fashion expression are becoming as prevalent as visual modalities. Finally, our findings provide a detailed overview of distinct facets of studies on computational fashion and a future research agenda for researchers and designers working on fashion and wearables.