PV Panel Model Parameter Estimation by Using Particle Swarm Optimization and Artificial Neural Network.

Photovoltaic (PV) panels are one of the popular green energy resources and PV panel parameter estimations are one of the popular research topics in PV panel technology. The PV panel parameters could be used for PV panel health monitoring and fault diagnosis. Recently, a PV panel parameters estimation method based in neural network and numerical current predictor methods has been developed. However, in order to further improve the estimation accuracies, a new approach of PV panel parameter estimation is proposed in this paper. The output current and voltage dynamic responses of a PV panel are measured, and the time series of the I-V vectors will be used as input to an artificial neural network (ANN)-based PV model parameter range classifier (MPRC). The MPRC is trained using an I-V dataset with large variations in PV model parameters. The results of MPRC are used to preset the initial particles' population for a particle swarm optimization (PSO) algorithm. The PSO algorithm is used to estimate the PV panel parameters and the results could be used for PV panel health monitoring and the derivation of maximum power point tracking (MMPT). Simulations results based on an experimental I-V dataset and an I-V dataset generated by simulation show that the proposed algorithms can achieve up to 3.5% accuracy and the speed of convergence was significantly improved as compared to a purely PSO approach.

Collaborative Care for Depression and Anxiety: Racial-Ethnic Differences in Treatment Engagement and Outcomes.

OBJECTIVE: This study aimed to examine racial-ethnic differences in engagement with and clinical outcomes of a collaborative care model (CoCM) implemented in primary care outpatient clinics in an urban academic medical center. METHODS: Adult patients (N=4,911) who screened positive for symptoms of depression, anxiety, or both on the Patient Health Questionnaire-9 or the Generalized Anxiety Disorder-7 scale and who identified as non-Hispanic Black, Hispanic, or non-Hispanic White were offered participation in a CoCM implementation. The primary outcome was treatment engagement, defined as receipt of any follow-up visit, minimally adequate 4-week follow-up (at least one visit), and minimally adequate 16-week follow-up (at least three visits) after initial assessment. Secondary outcomes were response and remission of depression or anxiety. RESULTS: After adjustment of analyses for sociodemographic covariates, Black and Hispanic participants were significantly less likely than White participants to have received any or minimally adequate follow-up. Black and Hispanic participants who received any or minimally adequate 16-week follow-up were more likely than White participants to demonstrate depression symptom response and remission of anxiety symptoms. CONCLUSIONS: This CoCM implementation appears to have been effective in treating depression and anxiety among Black and Hispanic patients. However, significant disparities in receipt of follow-up care were observed. Efforts must be made to improve the retention of patients from racial-ethnic minority groups in collaborative care.

Tumor Location Is an Independent Prognostic Factor in Completely Resected Pathological Stage I Non-Small Cell Lung Cancer: A Multicenter Retrospective Study.

Previous studies suggested that the location of the primary tumor in non-small cell lung cancer (NSCLC) is associated with clinical features and prognosis, but results are conflicting. The purpose of this study was to explore tumor location as an independent risk factor of survival for patients with completely resected pathological stage I NSCLC. This was a multicenter retrospective study conducted in Taiwan. Included patients were diagnosed with stage I NSCLC and had undergone primary tumor resection. Variables including tumor location, pathological stage, histological differentiation, and International Association for the Study of Lung Cancer (IASLC) grade were evaluated for predictive ability for disease-free survival (DFS) and overall survival (OS). A total of 208 patients were included, with 123 (59.1%) patients having a primary tumor in the upper and middle lobes. The median duration of follow-up for survivors was 60.5 months. Compared to patients with IASLC Grade 3 disease, patients with Grade 1 disease had significantly longer DFS. Tumor location and IASLC grade were independent predictors for OS in multivariate analysis. Specifically, patients with NSCLC in the lower lobe and patients who are histologically classified as IASLC Grade 3 may have poorer prognosis and require greater attention to improve outcomes.

New and emerging mechanisms of insecticide resistance.

The continuous use of insecticides over the last eight decades has led to the development of resistance to these insecticides. Research in the last few decades showed that the mechanisms underlying resistance are diverse but can generally be classified under several modes of resistance such as target-site resistance, metabolic resistance, and penetration resistance. In this review, we highlight new discoveries in insecticide resistance research made over the past few years, including an emerging new mode of resistance, sequestration resistance, where the overexpression of olfactory proteins binds and sequesters insecticides in resistant strains, as well as recent research on how posttranscriptional regulation can impact resistance. Future research will determine the generality of these emerging mechanisms across insect species.

Cross-adaptation from heat stress to hypoxia: A systematic review and exploratory meta-analysis.

Cross-adaptation (CA) refers to the successful induction of physiological adaptation under one environmental stressor (e.g., heat), to enable subsequent benefit in another (e.g., hypoxia). This systematic review and exploratory meta-analysis investigated the effect of heat acclimation (HA) on physiological, perceptual and physical performance outcome measures during rest, and submaximal and maximal intensity exercise in hypoxia. Database searches in Scopus and MEDLINE were performed. Studies were included when they met the Population, Intervention, Comparison, and Outcome criteria, were of English-language, peer-reviewed, full-text original articles, using human participants. Risk of bias and study quality were assessed using the COnsensus based Standards for the selection of health status Measurement INstruments checklist. Nine studies were included, totalling 79 participants (100 % recreationally trained males). The most common method of HA included fixed-intensity exercise comprising 9 ± 3 sessions, 89 ± 24-min in duration and occurred within 39 ± 2 °C and 32 ± 13 % relative humidity. CA induced a moderate, beneficial effect on physiological measures at rest (oxygen saturation: g = 0.60) and during submaximal exercise (heart rate: g = -0.65, core temperature: g = -0.68 and skin temperature: g = -0.72). A small effect was found for ventilation (g = 0.24) and performance measures (peak power: g = 0.32 and time trial time: g = -0.43) during maximal intensity exercise. No effect was observed for perceptual outcome measures. CA may be appropriate for individuals, such as occupational or military workers, whose access to altitude exposure prior to undertaking submaximal activity in hypoxic conditions is restricted. Methodological variances exist within the current literature, and females and well-trained individuals have yet to be investigated. Future research should focus on these cohorts and explore the mechanistic underpinnings of CA.

Four-year longitudinal associations of physical activity, waist circumference, and blood pressure in UK adolescents.

BACKGROUND: This study assessed the specific influence of physical activity (PA) and waist circumference (WC) on the 4-year growth trajectory of blood pressure in UK high-school students. METHODS: Four-year longitudinal monitoring of 1501 adolescents was conducted as part of the EoEHHS. Measurements were taken in Grades (G)7, 9, and 11. RESULTS: Systolic (SBP) and diastolic blood pressure (DBP) increased over the 4-year period (SBP G7 114.6 ± 8.9 mmHg, G9 118.1 ± 9.7 mmHg, G11 122.8 ± 7.8 mmHg; DBP G7 66.7 ± 6.6 mmHg, G9 68.0 ± 6.4 mmHg, G11 70.0 ± 5.2 mmHg). Baseline WC predicted baseline and growth in SBP, but the strongest contribution to SBP came from changes in WC (ß = 0.084, p = 0.002). Baseline PAQ-A score (ß = -0.822, p = 0.020) and changes in PAQ-A score (ß = -0.650, p = 0.019) were associated with smaller increases in DBP over the 4-year measurement period. CONCLUSIONS: Baseline and change in WC predicted the growth trajectory of SBP, while baseline and change in PA predicted the growth trajectory of DBP. PA and WC have a prognostic value in predicting changes in blood pressure in adolescents. Increasing PA during adolescence could slow the rise in DBP over time. This is meaningful for future hypertension and CVD risk reduction into adulthood. IMPACT: Hypertension in adolescents is a growing health problem that is often overlooked. Baseline and changes in waist circumference over a 4-year period predicted development of systolic blood pressure, while baseline and changes in physical activity predicted development of diastolic blood pressure. Physical activity and waist circumference have a prognostic value in predicting changes in blood pressure in adolescents and could be valuable in planning programmes to prevent hypertension in similar communities and reduce the risk of future adult hypertension.

One-wire reconfigurable and damage-tolerant sensor matrix inspired by the auditory tonotopy.

Sensor matrices are essential in various fields including robotics, aviation, health care, and industrial machinery. However, conventional sensor matrix systems often face challenges such as limited reconfigurability, complex wiring, and poor robustness. To address these issues, we introduce a one-wire reconfigurable sensor matrix that is capable of conforming to three-dimensional curved surfaces and resistant to cross-talk and fractures. Our frequency-located technology, inspired by the auditory tonotopy, reduces the number of output wires from row × column to a single wire by superimposing the signals of all sensor units with unique frequency identities. The sensor units are connected through a shared redundant network, giving great freedom for reconfiguration and facilitating quick repairs. The one-wire frequency-located technology is demonstrated in two applications-a pressure sensor matrix and a pressure-temperature multimodal sensor matrix. In addition, we also show its potential in monitoring strain distribution in an airplane wing, emphasizing its advantages in simplified wiring and improved robustness.

A New Biological Product Shows Promising Control of the Northern Root-Knot Nematode, Meloidogyne hapla, in Greenhouse Tomatoes.

Tomato plants are susceptible to significant yield losses when infested by the northern root-knot nematode, Meloidogyne hapla. While there are many options for conventional chemical management, few of these options offer effective control for organic growers or those who seek to adopt more environmentally considerate strategies. In this study, we showed that a new, biologically based product (referred to as "MN21.2") has potential for controlling populations of the northern root-knot nematode, Meloidogyne hapla, as a pest of susceptible tomato (cv. Rutgers) in a greenhouse trial. This is significant because if this product's efficacy is supported under field conditions, it may provide organic tomato growers with a valuable tool for fighting the plant-parasitic nematode pest, M. hapla.

Piloting a prenatal care smartphone application and care navigation intervention at a federally qualified health center.

BACKGROUND: Given that smartphones are widely used among reproductive-age people of all socioeconomic backgrounds, a smartphone application may be a useful supplement to routine prenatal care. OBJECTIVE: This study aimed to describe the implementation of a smartphone app that offers patient education, depression screening, social determinants of health screening, and care coordination as an adjunct to routine prenatal care at a federally qualified health center. We further sought to characterize app engagement and the association of app use with pregnancy outcomes. STUDY DESIGN: The implementation of the smartphone app was a quality improvement initiative in which the app was made available to all people receiving prenatal care at a designated federally qualified health center between December 2020 and December 2021. Individuals who both initiated prenatal care at this site before 28 weeks of gestation and delivered at our institution during the above-defined period were studied retrospectively after obtaining institutional approval. Summary statistics were used to describe app implementation and information regarding social determinants of health and depression screening. Demographics and maternal and neonatal outcomes were compared between app enrollees and patients receiving prenatal care at the same site who were not enrolled in the app. Data were analyzed using the 2-sample t test to compare continuous variables and the chi-square test to compare categorical variables. RESULTS: Overall, 800 patients receiving prenatal care at the federally qualified health center during the identified period were telephonically approached for enrollment in the smartphone app. A total of 613 people (76.6%) were successfully reached, and of those successfully reached, 538 (87.7%) accepted enrollment in the app; 76.6% of app enrollees (n=412) completed at least 1 social determinants of health screen. Of those, 29.1% (n=120) screened positive for at least 1 need. Of those with positive screens, 51.7% (n=62) accepted referral to resources to address the identified need. Furthermore, 81% of app enrollees (n=443) completed at least 1 depression screen. Of those, 13.1% (n=58) screened positive for depression, and 37.9% (n=22) of those with positive screens accepted a referral to behavioral health services. A total of 483 people met the inclusion criteria for retrospective review: 264 were enrolled in the smartphone app and 219 were not. App enrollees were more likely to speak English (79.9% of app group vs 61.6% of the non-app group; P<.0001), identify as Hispanic (52.7% vs 39.7%; P=.02), and be privately insured (24.6% vs 15.5%; P=.005), and less likely to have a social determinants of health-related need (10.0% vs 21.0%; P=.01). There were no significant differences in mode of delivery or maternal and neonatal outcomes between the 2 groups. CONCLUSION: A high proportion of patients receiving care through our federally qualified health center enrolled in and used the smartphone app and its associated care coordination. This could be a useful tool to screen for depression and adverse social determinants of health in underserved communities. Given that individuals of higher-resource backgrounds seem more likely to enroll in smartphone apps, a more targeted approach is needed to help connect patients of lower-resource backgrounds to smartphone apps and the resources that they offer.

Evolution of a fatty acyl-CoA elongase underlies desert adaptation in Drosophila.

Traits that allow species to survive in extreme environments such as hot-arid deserts have independently evolved in multiple taxa. However, the genetic and evolutionary mechanisms underlying these traits have thus far not been elucidated. Here, we show that Drosophila mojavensis, a desert-adapted fruit fly species, has evolved high desiccation resistance by producing long-chain methyl-branched cuticular hydrocarbons (mbCHCs) that contribute to a cuticular lipid layer reducing water loss. We show that the ability to synthesize these longer mbCHCs is due to evolutionary changes in a fatty acyl-CoA elongase (mElo). mElo knockout in D. mojavensis led to loss of longer mbCHCs and reduction of desiccation resistance at high temperatures but did not affect mortality at either high temperatures or desiccating conditions individually. Phylogenetic analysis showed that mElo is a Drosophila-specific gene, suggesting that while the physiological mechanisms underlying desert adaptation may be similar between species, the genes involved in these mechanisms may be species or lineage specific.

Responsiveness to endurance training can be partly explained by the number of favorable single nucleotide polymorphisms an individual possesses.

Cardiorespiratory fitness is a key component of health-related fitness. It is a necessary focus of improvement, especially for those that have poor fitness and are classed as untrained. However, much research has shown individuals respond differentially to identical training programs, suggesting the involvement of a genetic component in individual exercise responses. Previous research has focused predominantly on a relatively low number of candidate genes and their overall influence on exercise responsiveness. However, examination of gene-specific alleles may provide a greater level of understanding. Accordingly, this study aimed to investigate the associations between cardiorespiratory fitness and an individual's genotype following a field-based endurance program within a previously untrained population. Participants (age: 29 ± 7 years, height: 175 ± 9 cm, mass: 79 ± 21 kg, body mass index: 26 ± 7 kg/m2) were randomly assigned to either a training (n = 21) or control group (n = 24). The training group completed a periodized running program for 8-weeks (duration: 20-30-minutes per session, intensity: 6-7 Borg Category-Ratio-10 scale rating, frequency: 3 sessions per week). Both groups completed a Cooper 12-minute run test to estimate cardiorespiratory fitness at baseline, mid-study, and post-study. One thousand single nucleotide polymorphisms (SNPs) were assessed via saliva sample collections. Cooper run distance showed a significant improvement (0.23 ± 0.17 km [11.51 ± 9.09%], p < 0.001, ES = 0.48 [95%CI: 0.16-0.32]), following the 8-week program, whilst controls displayed no significant changes (0.03 ± 0.15 km [1.55 ± 6.98%], p = 0.346, ES = 0.08, [95%CI: -0.35-0.95]). A significant portion of the inter-individual variation in Cooper scores could be explained by the number of positive alleles a participant possessed (r = 0.92, R2 = 0.85, p < 0.001). These findings demonstrate the relative influence of key allele variants on an individual's responsiveness to endurance training.

Correction to: COVID-19: self-reported reductions in physical activity and increases in sedentary behaviour during the first national lockdown in the United Kingdom.

[This corrects the article DOI: 10.1007/s11332-022-01012-0.].

Medicaid Costs and Utilization of Collaborative Versus Colocation Care for Patients With Depression.

OBJECTIVE: The authors examined cost and utilization metrics for racially diverse Medicaid primary care patients with depression receiving care through either a collaborative care model (CoCM) of integration or the standard colocation model. METHODS: Data from a retrospective cohort of Medicaid patients screening positive for clinically significant depression during January 2016-December 2017 were analyzed to assess health care costs and selected utilization measures. Seven primary care clinics providing CoCM were compared with 16 clinics providing colocated behavioral health care. Data for the first year and second year after a patient received an initial Patient Health Questionnaire-9 score ≥10 were analyzed. RESULTS: In the first year, compared with patients receiving colocated care (N=3,061), CoCM patients (N=4,315) had significantly lower odds of emergency department (ED) visits (OR=0.95) and medical specialty office visits (OR=0.92), with slightly higher odds of primary care provider (PCP) visits (OR=1.03) and behavioral health office visits (OR=1.03). In year 2, CoCM patients (N=2,623) had significantly lower odds of inpatient medical admissions (OR=0.87), ED visits (OR=0.84), medical specialty office visits (OR=0.89), and PCP visits (OR=0.94) than the colocated care patients (N=1,838). The two groups did not significantly differ in total cost in both years. CONCLUSIONS: Access to CoCM treatment in primary care for racially diverse Medicaid patients with depression was associated with more positive health care utilization outcomes than for those accessing colocated treatment. As organizations continue to seek opportunities to integrate behavioral health care into primary care, consideration of health care costs and utilization may be helpful in the selection and implementation of integration models.

A New, Comprehensive Approach to Integration Using Measurement to Demonstrate Value.

The comprehensive health care integration (CHI) framework promotes the delivery of integrated physical and behavioral health care to adults and children in community settings by providing a flexible integration approach for both physical and behavioral health settings, including ongoing measurement of outcomes linked to payment methodologies. The CHI framework demonstrates value, strengthening alignment between provider organizations and payers to support service integration at implementation and on an ongoing basis.

PV Panel Model Parameter Estimation by Using Neural Network.

Photovoltaic (PV) panels have been widely used as one of the solutions for green energy sources. Performance monitoring, fault diagnosis, and Control of Operation at Maximum Power Point (MPP) of PV panels became one of the popular research topics in the past. Model parameters could reflect the health conditions of a PV panel, and model parameter estimation can be applied to PV panel fault diagnosis. In this paper, we will propose a new algorithm for PV panel model parameters estimation by using a Neural Network (ANN) with a Numerical Current Prediction (NCP) layer. Output voltage and current signals (VI) after load perturbation are observed. An ANN is trained to estimate the PV panel model parameters, which is then fined tuned by the NCP to improve the accuracy to about 6%. During the testing stage, VI signals are input into the proposed ANN-NCP system. PV panel model parameters can then be estimated by the proposed algorithms, and the estimated model parameters can be then used for fault detection, health monitoring, and tracking operating points for MPP conditions.

The global burden of cerebral small vessel disease in low- and middle-income countries: A systematic review and meta-analysis.

BACKGROUND: Cerebral small vessel disease (cSVD) is a major cause of stroke and dementia. Previous studies on the prevalence of cSVD are mostly based on single geographically defined cohorts in high-income countries. Studies investigating the prevalence of cSVD in low- and middle-income countries (LMICs) are expanding but have not been systematically assessed. AIM: This study aims to systematically review the prevalence of cSVD in LMICs. RESULTS: Articles were searched from the Ovid MEDLINE and EMBASE databases from 1 January 2000 to 31 March 2022, without language restrictions. Title/abstract screening, full-text review, and data extraction were performed by two to seven independent reviewers. The prevalence of cSVD and study sample size were extracted by pre-defined world regions and health status. The Risk of Bias for Non-randomized Studies tool was used. The protocol was registered on PROSPERO (CRD42022311133). A meta-analysis of proportion was performed to assess the prevalence of different magnetic resonance imaging markers of cSVD, and a meta-regression was performed to investigate associations between cSVD prevalence and type of study, age, and male: female ratio. Of 2743 studies identified, 42 studies spanning 12 global regions were included in the systematic review. Most of the identified studies were from China (n = 23). The median prevalence of moderate-to-severe white matter hyperintensities (WMHs) was 20.5%, 40.5%, and 58.4% in the community, stroke, and dementia groups, respectively. The median prevalence of lacunes was 0.8% and 33.5% in the community and stroke groups. The median prevalence of cerebral microbleeds (CMBs) was 10.7% and 22.4% in the community and stroke groups. The median prevalence of moderate-to-severe perivascular spaces was 25.0% in the community. Meta-regression analyses showed that the weighted median age (51.4 ± 0.0 years old; range: 36.3-80.2) was a significant predictor of the prevalence of moderate-to-severe WMH and lacunes, while the type of study was a significant predictor of the prevalence of CMB. The heterogeneity of studies was high (>95%). Male participants were overrepresented. CONCLUSIONS: This systematic review and meta-analysis provide data on cSVD prevalence in LMICs and demonstrated the high prevalence of the condition. cSVD research in LMICs is being published at an increasing rate, especially between 2010 and 2022. More data are particularly needed from Sub-Saharan Africa and Central Europe, Eastern Europe, and Central Asia.

COVID-19: self-reported reductions in physical activity and increases in sedentary behaviour during the first national lockdown in the United Kingdom.

Purpose: The United Kingdom (UK) government imposed its first national lockdown in response to COVID-19 on the 23rd of March 2020. Physical activity and sedentary behaviour levels are likely to have changed during this period. Methods: An online survey was completed by n = 266 adults living within the UK. Differences in day-to-day and recreational physical activity (at moderate and vigorous intensities), travel via foot/cycle, and sedentary behaviour were compared before and during the initial COVID-19 lockdown. Results: The median level of total weekly physical activity significantly reduced (- 15%, p < 0.001) and daily sedentary time significantly increased (+ 33%, p < 0.001). The former was caused by a significant reduction in weekly day-to-day physical activity at moderate intensities (p < 0.001), recreational activities at vigorous (p = 0.016) and moderate (p = 0.030) intensities, and travel by foot/cycle (p = 0.031). Sub-group analyses revealed that some populations became disproportionally more physically inactive and/or sedentary than others, such as those that were: living in a city (versus village), single (versus a relationship), an athlete (versus non-athlete), or earning an average household income < £25,000 (versus > £25,000). Conclusions: Now that the UK is transitioning to a state of normal living, strategies that can help individuals gradually return to physical activities, in accordance with the 2020 WHO guidelines, are of paramount importance to reducing risks to health associated with physical inactivity and sedentary behaviour.

The Hop Cyst Nematode, Heterodera humuli: History, Distribution, and Impact on Global Hop Production.

Humulus lupulus (commonly known as hop) is an herbaceous plant that is used in brewing throughout the world. Hop cones are an essential ingredient in the production of beer, which makes hops of critical importance to global craft beverage industries. The hop cyst nematode, Heterodera humuli, is a plant-parasitic nematode with the potential to substantially limit yields of hop. H. humuli has been detected in many of the most significant regions for hop production worldwide, and infestations of H. humuli can consequently impact hop growth and limit cone production. Despite documented reports on the distribution of and damage caused by H. humuli since its description in 1934, there have been limited studies on the biology, pathogenicity, management, and consequences of infestations on hop production over time. Inconsistencies and gaps in the available information (e.g., the number of H. humuli generations per season, host status of alternate crops), exacerbate difficulties in understanding how H. humuli can be managed. Resolving the existing knowledge gaps identified within this review can lead to determining effective H. humuli management strategies for hop growers.

BioKG: a comprehensive, large-scale biomedical knowledge graph for AI-powered, data-driven biomedical research.

To cope with the rapid growth of scientific publications and data in biomedical research, knowledge graphs (KGs) have emerged as a powerful data structure for integrating large volumes of heterogeneous data to facilitate accurate and efficient information retrieval and automated knowledge discovery (AKD). However, transforming unstructured content from scientific literature into KGs has remained a significant challenge, with previous methods unable to achieve human-level accuracy. In this study, we utilized an information extraction pipeline that won first place in the LitCoin NLP Challenge to construct a largescale KG using all PubMed abstracts. The quality of the large-scale information extraction rivals that of human expert annotations, signaling a new era of automatic, high-quality database construction from literature. Our extracted information markedly surpasses the amount of content in manually curated public databases. To enhance the KG's comprehensiveness, we integrated relation data from 40 public databases and relation information inferred from high-throughput genomics data. The comprehensive KG enabled rigorous performance evaluation of AKD, which was infeasible in previous studies. We designed an interpretable, probabilistic-based inference method to identify indirect causal relations and achieved unprecedented results for drug target identification and drug repurposing. Taking lung cancer as an example, we found that 40% of drug targets reported in literature could have been predicted by our algorithm about 15 years ago in a retrospective study, demonstrating that substantial acceleration in scientific discovery could be achieved through automated hypotheses generation and timely dissemination. A cloud-based platform (https://www.biokde.com) was developed for academic users to freely access this rich structured data and associated tools.

Desiccation resistance differences in Drosophila species can be largely explained by variations in cuticular hydrocarbons.

Maintaining water balance is a universal challenge for organisms living in terrestrial environments, especially for insects, which have essential roles in our ecosystem. Although the high surface area to volume ratio in insects makes them vulnerable to water loss, insects have evolved different levels of desiccation resistance to adapt to diverse environments. To withstand desiccation, insects use a lipid layer called cuticular hydrocarbons (CHCs) to reduce water evaporation from the body surface. It has long been hypothesized that the water-proofing capability of this CHC layer, which can confer different levels of desiccation resistance, depends on its chemical composition. However, it is unknown which CHC components are important contributors to desiccation resistance and how these components can determine differences in desiccation resistance. In this study, we used machine-learning algorithms, correlation analyses, and synthetic CHCs to investigate how different CHC components affect desiccation resistance in 50 Drosophila and related species. We showed that desiccation resistance differences across these species can be largely explained by variation in CHC composition. In particular, length variation in a subset of CHCs, the methyl-branched CHCs (mbCHCs), is a key determinant of desiccation resistance. There is also a significant correlation between the evolution of longer mbCHCs and higher desiccation resistance in these species. Given that CHCs are almost ubiquitous in insects, we suggest that evolutionary changes in insect CHC components can be a general mechanism for the evolution of desiccation resistance and adaptation to diverse and changing environments.