Hypoxia delays steroid-induced developmental maturation in Drosophila by suppressing EGF signaling.

Animals often grow and develop in unpredictable environments where factors like food availability, temperature, and oxygen levels can fluctuate dramatically. To ensure proper sexual maturation into adulthood, juvenile animals need to adapt their growth and developmental rates to these fluctuating environmental conditions. Failure to do so can result in impaired maturation and incorrect body size. Here we describe a mechanism by which Drosophila larvae adapt their development in low oxygen (hypoxia). During normal development, larvae grow and increase in mass until they reach critical weight (CW), after which point a neuroendocrine circuit triggers the production of the steroid hormone ecdysone from the prothoracic gland (PG), which promotes maturation to the pupal stage. However, when raised in hypoxia (5% oxygen), larvae slow their growth and delay their maturation to the pupal stage. We find that, although hypoxia delays the attainment of CW, the maturation delay occurs mainly because of hypoxia acting late in development to suppress ecdysone production. This suppression operates through a distinct mechanism from nutrient deprivation, occurs independently of HIF-1 alpha and does not involve dilp8 or modulation of Ptth, the main neuropeptide that initiates ecdysone production in the PG. Instead, we find that hypoxia lowers the expression of the EGF ligand, spitz, and that the delay in maturation occurs due to reduced EGFR/ERK signaling in the PG. Our study sheds light on how animals can adjust their development rate in response to changing oxygen levels in their environment. Given that hypoxia is a feature of both normal physiology and many diseases, our findings have important implications for understanding how low oxygen levels may impact animal development in both normal and pathological situations.

The loss of DNA polymerase epsilon accessory subunits POLE3-POLE4 leads to BRCA1-independent PARP inhibitor sensitivity.

The clinical success of PARP1/2 inhibitors (PARPi) prompts the expansion of their applicability beyond homologous recombination deficiency. Here, we demonstrate that the loss of the accessory subunits of DNA polymerase epsilon, POLE3 and POLE4, sensitizes cells to PARPi. We show that the sensitivity of POLE4 knockouts is not due to compromised response to DNA damage or homologous recombination deficiency. Instead, POLE4 loss affects replication speed leading to the accumulation of single-stranded DNA gaps behind replication forks upon PARPi treatment, due to impaired post-replicative repair. POLE4 knockouts elicit elevated replication stress signaling involving ATR and DNA-PK. We find POLE4 to act parallel to BRCA1 in inducing sensitivity to PARPi and counteracts acquired resistance associated with restoration of homologous recombination. Altogether, our findings establish POLE4 as a promising target to improve PARPi driven therapies and hamper acquired PARPi resistance.

Phases and correlations in active nematic granular systems.

We investigate the statistical behavior of a system comprising fore-aft symmetric rods confined between two vertically vibrating plates using numerical simulations closely resembling the experimental setup studied by V. Narayan et al., Science, 2007, 317, 105-108. Our focus lies in studying the phase transition of the system from an isotropic phase to a nematic phase as we increase either the rod length or the rod concentration. Our simulations confirm the presence of long-range ordering in the ordered phase. Furthermore, we identify a phase characterized by a periodic ordering profile that disrupts translation symmetry. We also provide a detailed analysis of the translational and rotational diffusive dynamics of the rods. Interestingly, the translational diffusivity of the rods is found to increase with the rod concentration.

Diffusionless rotator-crystal transitions in colloidal truncated cubes.

Upon osmotic compression, rotationally symmetric faceted colloidal particles can form translationally ordered, orientationally disordered rotator mesophases. This study explores the mechanism of rotator-to-crystal phase transitions where orientational order is gained in a translationally ordered phase, using rotator-phase forming truncated cubes as a testbed. Monte Carlo simulations were conducted for two selected truncations (s), one for s = 0.527 where the rotator and crystal lattices are dissimilar and one for s = 0.572 where the two phases have identical lattices. These differences set the stage for a qualitative difference in their rotator-crystal transitions, highlighting the effect of lattice distortion on phase transition kinetics. Our simulations reveal that significant lattice deviatoric effects could hinder the rotator-to-crystal transition and favor arrangements of lower packing fraction instead. Indeed, upon compression, it is found that for s = 0.527, the rotator phase does not spontaneously transition into the stable, densely packed crystal due to the high lattice strains involved but instead transitions into a metastable solid phase to be colloquially referred to as "orientational salt" for short, which has a similar lattice as the rotator phase and exhibits two distinct particle orientations having substitutional order, alternating regularly throughout the system. This study paves the way for further analysis of diffusionless transformations in nanoparticle systems and how lattice-distortion could influence crystallization kinetics.

Explainable deep-neural-network supported scheme for tuberculosis detection from chest radiographs.

Chest radiographs are examined in typical clinical settings by competent physicians for tuberculosis diagnosis. However, this procedure is time consuming and subjective. Due to the growing usage of machine learning techniques in applied sciences, researchers have begun applying comparable concepts to medical diagnostics, such as tuberculosis screening. In the period of extremely deep neural nets which comprised of hundreds of convolution layers for feature extraction, we create a shallow-CNN for screening of TB condition from Chest X-rays so that the model is able to offer appropriate interpretation for right diagnosis. The suggested model consists of four convolution-maxpooling layers with various hyperparameters that were optimized for optimal performance using a Bayesian optimization technique. The model was reported with a peak classification accuracy, F1-score, sensitivity and specificity of 0.95. In addition, the receiver operating characteristic (ROC) curve for the proposed shallow-CNN showed a peak area under the curve value of 0.976. Moreover, we have employed class activation maps (CAM) and Local Interpretable Model-agnostic Explanations (LIME), explainer systems for assessing the transparency and explainability of the model in comparison to a state-of-the-art pre-trained neural net such as the DenseNet.

Aetiology and epidemiology of surgical vitreoretinal presentations in an Australian paediatric population: A seven-year retrospective study.

BACKGROUND: Paediatric vitreoretinal pathology is distinct from adult cases in both presentation and surgical planning. Here we aim to report the aetiology and epidemiology in children 0-18 years requiring vitreoretinal surgery at a major tertiary paediatric hospital in Queensland, Australia. METHODS: Retrospective review of cases requiring vitreoretinal surgery between May 2015 and October 2022 was conducted. Demographics, ocular and medical history, surgical pathology, procedures performed, and epidemiology data were retrieved. Patients were grouped into three main aetiologies: traumatic, syndromic, or secondary. RESULTS: A total of 124 patients, the majority male (87, 70.2%) with a mean age of 10.3 years underwent vitreoretinal surgery. Trauma accounted for 32.3% of cases requiring surgery of which 47% were due to a penetrating eye injury. 35.5% were associated with a syndromic cause with common aetiology including coats, congenital cataract, sticklers, and retinopathy of prematurity. 32.3% developed secondary pathology and retinal detachment was the primary cause for surgery (55%). The average time from symptom onset to presentation was 30 days (SD 56.88) with patients living an average of 306.2 km (SD 558.9) away from the Queensland Children's Hospital. Older age was significantly associated with increased days to presentation in the traumatic group (p < 0.05). CONCLUSIONS: This study provides an insight into the aetiology and epidemiology of paediatric vitreoretinal presentations in Queensland, Australia.

Impact of Virtual Reality on Pain, ROM, Muscle Strength and Quality of Life among Breast Cancer Patients: An Integrative Review of Literature.

BACKGROUND: Breast cancer is the most commonly diagnosed cancer among women globally, with significant impacts on physical, emotional, and functional well-being. Traditional rehabilitation methods may not fully address the multifaceted challenges faced by breast cancer survivors (BCSs), prompting exploration into innovative approaches such as Virtual Reality (VR) technology. OBJECTIVE: The present review aims to assess the effectiveness of VR in alleviating pain, improving Range of Motion (ROM), enhancing muscle strength, and augmenting the overall quality of life in patients undergoing breast cancer rehabilitation. METHODS: A comprehensive review of existing literature was conducted, focusing on studies investigating the use of VR in breast cancer rehabilitation. PubMed, Scopus, PEDro and Google scholar were searched for articles addressing VR interventions targeting pain management, ROM improvement, muscle strength enhancement, and quality of life enhancement in breast cancer patients. RESULTS: Findings yielded total 12 articles matching the selection criteria. VR technology has shown promising results in addressing the multifaceted needs of breast cancer patients. VR also serves as a distraction tool, positively impacting psychological well-being and mitigating negative psychological symptoms associated with the disease. CONCLUSION: VR represents a non-pharmacological approach to pain management and rehabilitation in breast cancer patients. Its ability to engage emotional, cognitive, and attention processes contributes to its effectiveness in enhancing overall quality of life. Further research is warranted to elucidate the long-term benefits and optimal utilization of VR technology in breast cancer rehabilitation programs.

Dengue dynamics: Prognostic and disease monitoring through molecular and serological profiling of clinical isolates.

BACKGROUND OBJECTIVES: Dengue fever is a mosquito-borne illness that affects millions of people worldwide every year. With no vaccination available, early detection and treatment is critical. One-hundred-twelve countries in the world pose a risk to travelers, particularly in metropolitan areas. Laboratory diagnoses vary according to objectives, resources, and schedule, with sensitivity and specificity must be balanced for effective testing. METHODS: The current work is a cross-sectional diagnostic study and samples from suspected patients of dengue was collected from May 15 to November 15 2023 and transported to laboratory, and RT-PCR and Dengue Duo Rapid test diagnosis techniques were used on 48 clinical samples included in this study. RESULTS: Blood was collected from suspected cases of dengue and subjected further to different molecular and serological parameters. Serum was separated from all 48 blood samples. RNA was isolated by silica column extraction method which is further utilized as a template for amplification and detection of dengue serotyping. Master Mix was prepared for the amplification and detection of dengue virus by Rotor-Gene Q Real-Time PCR Machine and further serological profiling of positive dengue cases was studied by conventional PCR. INTERPRETATION CONCLUSION: Our laboratory effectively standardized an RT-PCR-based approach for molecular identification of dengue virus in clinical specimens. This adaptive technique which used numerous primer sets displayed good specificity and sensitivity in serotype detection. The technology provides for quick and reliable identification of dengue virus infections, allowing for targeted treatment and preventative actions for successful disease management in highly populated regions.

COVID-19 Stigma and Discrimination in a North Indian State: A Concurrent Mixed Method Study.

SUMMARY: We measured COVID-19-related stigma and discrimination and its drivers using a concurrent mixed-methods design in Punjab. The simple random sampling was used to select blocks, subcenters, and urban primary healthcenters from each of the four selected districts. The systematic random sampling was used to select households. A sample of 423 adults was interviewed using a structured questionnaire and 10 in-depth interviews were conducted using an interview guide. Binary logistic regression was performed to find the predictors. Stigma prevalence was mild 18%, moderate 45%, and severe 37%. Logistic regression indicated that stigma was lower in the rural compared to the urban population (P < 0.01). Hospitalized patients faced discrimination more often compared to those who were treated/quarantined at home. People feared police (71%), testing (69%), and contracting the infection (65%). Fear of screening, disclosure of status, and transmission of the virus were the drivers of stigma and discrimination. Co-occurrence of labeling, stereotyping, and cognitive separation was observed.

Chest Physiotherapy Interventions for Children During SARS-COV-2 Pandemic.

Since the first case of Severe Acute Respiratory Syndrome Coronavirus-2/Coronavirus Disease 2019 (SARS-COV-2/COVID-19) was discovered in Wuhan, China, it spread to vast limits globally and became a public health disaster, affecting nearly all countries around the globe. Along with mainstream medical treatment, alternative medicine desperately was the need of the hour for youngsters to manage their symptoms while being self-quarantined and ultimately to improve their chances of survival and recovery from COVID-19. Since the beginning of SARS-COV-2, few studies address the clinical-functional presentation of viral infection and management with physiotherapy for children. Major online electronic databases PubMed, PEDro, and Google Scholar were researched to identify, organize and commission the current review. To create a search strategy, Medical Subject Headings and Descriptors of Science and Health were utilized. The authors looked for other studies by screening the references list of the potentially pertinent papers. These computerized searches turned up studies and those studies' bibliographies with pertinent citations were examined. Personal protective equipment was a crucial component for protection and contact precaution. Following hypoxia, effective oxygen therapy is administered right away. When necessary, under the right circumstances, nasal high-flow oxygen therapy, non-invasive ventilation, lung-protective breathing methods, and prone positioning can be used. Children with SARS-CoV-2/COVID-19 may benefit from physiotherapy interventions with a focus on ventilatory management, airway clearance procedures, early activities, and mobilization.

CIsense: an automated framework for early screening of cerebral infarction using PPG sensor data.

A cerebral infarction (CI), often known as a stroke, is a cognitive impairment in which a group of brain cells perishes from a lack of blood supply. The early prediction and evaluation of this problem are essential to avoid atrial fibrillation, heart valve disease, and other cardiac disorders. Different clinical strategies like Computerized tomography (CT) scans, Magnetic resonance imaging (MRI), and Carotid (ka-ROT-id) ultrasound are available to diagnose this problem. However, these methods are time-consuming and expensive. Wearable devices based on photoplethysmography (PPG) are gaining prevalence in diagnosing various cardiovascular diseases. This work uses the PPG signal to classify the CI subjects from the normal. We propose an automated framework and fiducial point-independent approach to predict CI with sufficient accuracy. The experiment is performed with a publicly available database having PPG and other physiological data of 219 individuals. The best validation and test accuracy of 91.8% and 91.3% are obtained after diagnosis with Coarse Gaussian SVM. The proposed work aims to extract cerebral infarction pathology by extracting relevant entropy features from higher order PPG derivatives for the prediction of CI and offers a simple, automated and inexpensive approach for early detection of CI and promotes awareness for the subjects to undergo further treatment to avoid major disorders.

Optimising craniospinal irradiation for medulloblastoma: a dosimetric comparison of two VMAT planning methods.

Background: Craniospinal irradiation (CSI) poses a challenging planning process because of the complex target volume. Traditional 3D conformal CSI does not spare any critical organs, resulting in toxicity in patients. Here the dosimetric advantages of volumetric-modulated arc therapy (VMAT) using partial arc and avoidance sectors are compared with each other in planning in adult patients undergoing CSI to develop a clinically feasible technique that is both effective and efficient. Patient and methods: Eight adult patients treated with CSI were retrospectively identified. In total 16 plans were made. We generated two plans for each patient: 1. VMAT plan using partial arc, namely VMAT_pa. 2. VMAT plan using avoidance sectors, namely VMAT_as. The dose prescribed was 36 Gy in 20 fractions. The dose-volume histogram for planning target volume (PTV) and organs at risk (OAR) (lens, eye, heart, thyroid, lungs, liver, gonads and kidneys) were analysed and compared. Dose parameters of mean dose, V95%, and V107% for the PTV were evaluated. Results: The median length of PTV is 65.58 cm (45.8-79.5). The volume of PTV receiving 95% of the dose (V95%) in both the plans are 97.51% (VMAT_as) and 97.99% (VMAT_pa) (p = 0.121) while V107% are 0.733 and 0.742 for VMAT_as and VMAT_pa, respectively (p = 0.969). The doses of OARs such as lens, eye, liver and gonads were comparable. The mean heart dose was 10.4 and 9.0 Gy in VMAT_as and VMAT_pa plans, respectively (p = 0.005). Significant lower doses to the thyroid, kidneys and lungs were seen in VMAT plans using avoidance sectors. Conclusion: This study provides a practically useful VMAT planning method for the treatment of CSI and illustrates the ability of VMAT using avoidance sectors to generate highly conformal and homogeneous treatment plans for CSI, while limiting the dose to the relevant OARs.

Computational Analysis of the Accumulation of Mutations in Therapeutically Important RNA Viral Proteins During Pandemics with Special Emphasis on SARS-CoV-2.

Single stranded RNA viruses are primary causative agents for pandemics, causing extensive morbidity and mortality worldwide. A pivotal question in pandemic preparedness and therapeutic intervention is what are the specific mutations which are more likely to emerge during such global health crises? This study aims to identify markers for mutations with the highest probability of emergence in these pandemics, focusing on the SARS-CoV-2 spike protein, an essential and therapeutically significant viral protein, starting from sequence information from the onset of the pandemic until July 2022. Quite consistently, we observed that emerged mutations tended to demonstrate a high genetic score, which reflects high similarity of the type of codon required for translation between an amino acid and to the mutated one. Further, this pattern is also observed in therapeutically significant proteins of other ssRNA pandemic viruses, including influenza (HA, NA), spike proteins of Ebola, envelope of Dengue and Chikungunya. We propose that the genetic score serves as an initial indicator, preceding the actual impact of the mutation on viral fitness. Finally, we developed a comprehensive computational pipeline to further explore and predict the subsequent effects of mutations on viral fitness. We believe that our pipeline can narrow down and predict future mutations in therapeutically important viral proteins during a pandemic.

Hydroponics: Exploring innovative sustainable technologies and applications across crop production, with Emphasis on potato mini-tuber cultivation.

There is an urgent need to explore climate-resilient alternative agriculture production systems that focus on resilience, resource efficiency, and disease management. Hydroponics, a soilless cultivation system, gaining interest as it reduces the dependency on agricultural land, and pesticides, and can be implemented in areas with poor soil quality, thus mitigating the negative effects of extreme weather events. Potato is an essential dietary staple crop grown throughout the world and is a major source of food security in underdeveloped countries. However, due to the climatic changes, it is predicted that a significant loss in the suitability of land for potato production would occur, thus leading to potato yield loss. Recently, many case studies have emerged to highlight the advancement of agricultural hydroponic systems that provide a promising solution to the massive production of potato mini tuber at high efficiency. This review paper evaluates popular hydroponic methods and demonstrates how hydroponic has emerged as the go-to, long-term, sustainable answer to the perennial problem of insufficient access to high-quality potato seed stock. The paper discusses the research and innovation possibilities (such as artificial intelligence, nanoparticles, and plant growth-promoting rhizobacteria) that potentially increase tuber production per plant under optimal hydroponic growth circumstances. These approaches are examined considering new scientific discoveries and practical applications. Furthermore, it emphasizes that by enduring significant reforms in soilless food production systems (particularly for potatoes), the food supply of a rapidly growing population can be addressed. Since hydroponics systems are productive and easily automated without soil and optimal environmental conditions, future hydroponics farming is promising. In conclusion, the hydroponics system provides better yield and crop productivity by saving water, energy, and space. Henceforth, it can be the alternate choice for modern sustainable agriculture.

Highly efficient photonic radar by incorporating MDM-WDM and machine learning classifiers under adverse weather conditions.

Photonic radar, a cornerstone in the innovative applications of microwave photonics, emerges as a pivotal technology for future Intelligent Transportation Systems (ITS). Offering enhanced accuracy and reliability, it stands at the forefront of target detection and recognition across varying weather conditions. Recent advancements have concentrated on augmenting radar performance through high-speed, wide-band signal processing-a direct benefit of modern photonics' attributes such as EMI immunity, minimal transmission loss, and wide bandwidth. Our work introduces a cutting-edge photonic radar system that employs Frequency Modulated Continuous Wave (FMCW) signals, synergized with Mode Division and Wavelength Division Multiplexing (MDM-WDM). This fusion not only enhances target detection and recognition capabilities across diverse weather scenarios, including various intensities of fog and solar scintillations, but also demonstrates substantial resilience against solar noise. Furthermore, we have integrated machine learning techniques, including Decision Tree, Extremely Randomized Trees (ERT), and Random Forest classifiers, to substantially enhance target recognition accuracy. The results are telling: an accuracy of 91.51%, high sensitivity (91.47%), specificity (97.17%), and an F1 Score of 91.46%. These metrics underscore the efficacy of our approach in refining ITS radar systems, illustrating how advancements in microwave photonics can revolutionize traditional methodologies and systems.

Reconstruction of Partial Defect of Ear in a Tertiary Care Institute.

Auricle is the outward visible part of ear and composed of skin and cartilage. Auricle due to its standout and projected position is more vulnerable to get injured and cause distortion of the facial aesthetics. Reconstruction of the ear defect should be individualized depending on the defect size, location, nearby skin, patient requirement and surgeon experience. To present the results of various reconstructive options for partial ear defect which will aid in decision making among reconstructive options available. Reconstruction was individualized considering the defect size, depth, location, surrounding skin. In upper 1/3 defect reconstructive options include Antia-Buch chondrocutaneous advancement flap, autogenous cartilage with temporoparietal fascial flap, for middle 1/3 defect options include retroauricular soft tissue tube flap, diefenbach procedure, Autogenous cartilage graft and temporoparietal fascial flap, for lower 1/3 defect reconstructive options include pre auricular flap, triangular repair method, Zenteno Alanis technique. Reconstruction with various techniques results in aesthetically good outcomes. There is no major complication seen in any patient. Reconstruction of ear defect with various options available has good outcome. Planning is important part in reconstruction process. Reconstructive option chosen for a ear defect should be individualized depending on patient characteristics, surgeon experience.

Chest wall perforator flap partial breast reconstruction: a retrospective analysis of surgical, cosmetic and survival outcome.

Introduction: Oncoplastic breast surgery includes volume replacement as well as volume displacement. Autologous tissue is the preferred approach for volume replacement and includes chest wall perforator flaps (CWPF). Although described more than a decade ago, CWPFs have not been adopted widely in clinical practice till recently. We report the largest single-centre institutional data on CWPFs. Patients and methods: The study includes all patients who underwent breast conservation surgery (BCS) using CWPFs from January 2015 to December 2022. Data were retrieved from the institutional electronic record and Redcap database. The analysis was done using SPSS 23 and STATA 14. Results: 150 patients were included in the study. The mean age was 48.8 years (SD 10.4), and the body mass index was (26.6 kg/m2, SD 4.3). >50% of patients had breasts with small cup sizes (A&B) and mild ptosis (Non-ptotic and Grade 1 ptosis). 44.7% of patients underwent lateral intercostal artery perforator flap (LICAP), anterior intercostal artery perforator flap in 31.3%, lateral thoracic perforator flap (LTAP) in 12%, LICAP + LTAP in 11.3% and thoracodorsal artery perforator flap in 1%. Post-operatively, haematoma was seen in 1.3%, complete flap necrosis in 1.3%, seroma in 7%, wound dehiscence in 12%, and positive margin in 6.7%. 92 patients responded to the satisfaction assessment, of which >90% were happy with the surgical scars, comfortable going out in a public place, satisfied with the symmetry of the breast, and no one chose mastectomy in hindsight. The 5-year predicted disease free survival and overall survival were 86.4% and 94.7%, respectively. Conclusion: BCS with CWPF is an excellent option for reconstruction in small to medium-sized breasts. It is associated with minimal morbidity and comparable patient-reported cosmetic and survival outcomes.

Synergistic Influence of Melatonin-Hydrocolloid Coating on Decay and Senescence of Nectarine (Prunus persica var. nucipersica) during Supermarket Storage Conditions.

Nectarines have remarkable nutritional value, low caloric content, and are rich in antioxidants. However, despite substantial local and global demand, their susceptibility to rapid spoilage during peak summer harvest is limited. To address this issue, the current study investigated the potential benefits of using melatonin (MLT), an antioxidant biomolecule, in combination with edible hydrocolloid coatings like carboxymethylcellulose (CMC) and gum Arabic (G.A.) on 'Snow Queen' nectarine fruits. The nectarines were treated with various combinations of coatings, including 1% and 1.5% CMC, 8% and 10% G.A., and 0.1 mM melatonin. These coated and non-coated samples were stored under standard supermarket conditions (18 ± 1 °C, 85-90% R.H.) for 16 days. The outcomes demonstrated that the most effective treatment was the combination of 1% CMC with 0.1 mM melatonin. This treatment significantly (p ≤ 0.05) reduced the rate of respiration, curbed fruit decay by approximately 95%, minimized weight loss by around 42%, and maintained approximately 39% higher levels of total phenol content and roughly 30% greater antioxidant (AOX) activity. These positive effects were accompanied by preserved firmness and overall quality attributes. Moreover, the treatment extended the shelf life to 16 days through retarding senescence and suppressing the activities of lipoxygenase (LOX) and pectin methylesterase (PME), all without compromising the functional qualities of the nectarine.

Fine-tuning covalent organic frameworks for structure-activity correlation via adsorption and catalytic studies.

In applications utilizing Covalent Organic Frameworks (COFs) for adsorption, the interplay between crystallinity (vis-à-vis surface area) and active sites still remains ambiguous. To address this, the present study introduces three isoreticular COFs-COP-N18 (covalent organic polymer with short-range order), COF-N18 (COF having long-range order), and COF-N27 (semicrystalline COF with pyridyl heteroatoms)-to explore this duality. Through systematic variations in structural order, pore volume, and pore-wall nitrogen content, we aim to establish a structure-activity relationship (SAR) for these COFs via adsorption and catalysis, using CO2 and I2 as probes. Our investigation highlights the positive influence of crystallinity, surface area, and pore volume in adsorption as well as catalysis. However, the presence of heteroatoms manifests complex behavior in CO2 adsorption and CO2 cycloaddition reactions with epoxides. COF-N18 and COF-N27 showed comparable CO2 uptake capacities at different temperatures (273, 293, and 313 K) and ∼1 bar pressure. Additionally, CO2 cycloaddition reactions were performed with substrates possessing different polarities (epichlorohydrin, 1,2-epoxydodecane) to elucidate the role of COF surface polarity. Further investigation into iodine adsorption was performed to understand the impact of COF structural features on the modes of adsorption and adsorption kinetics. Improvements in COF-crystallinity results in faster average iodine uptake rate at 80% (K80% = 1.79 g/h) by COF-N18. Whereas, heteroatom doping slows down iodine adsorption kinetics (0.35 g/h) by prolonging the adsorption process up to 72 h. Overall, this study advances our understanding of COFs as adsorbents and catalysts, providing key insights into their SAR while emphasizing structural fine-tuning as a key factor for impactful environmental applications.