Individual Selection Research Articles

Benefit of Hearing-Aid Amplification and Signal Enhancement for Speech Reception in Complex Listening Situations.

A major goal of hearing-device provision is to improve communication in daily life. However, there is still a large gap between the user's daily-life aided listening experience and hearing-aid benefit as assessed with established speech reception measurements in the laboratory and clinical practice. For a more realistic assessment, hearing-aid provision needs to be tested in suitable acoustic environments. In this study, using virtual acoustics, we developed complex acoustic scenarios to measure speech-intelligibility and listening-effort benefit obtained from hearing-aid amplification and signal enhancement strategies. Measurements were conducted using the participants' own devices and a research hearing aid, the Portable Hearing Laboratory (PHL). On the PHL, in addition to amplification, a monaural and a binaural directional filter, as well as a spectral filter were employed. We assessed the benefit from different signal enhancement strategies at the group and the individual level. At the group level, signal enhancement including directional filtering provided a higher hearing-aid benefit in challenging acoustic scenarios in terms of speech intelligibility compared to amplification alone or combined with spectral filtering. However, no difference between monaural and binaural signal enhancement occurred. On an individual level, we found large differences in hearing-aid benefit between participants. While some benefitted from signal-enhancement algorithms, others benefitted from amplification alone, but additional signal enhancement had a detrimental effect. This shows the importance of an individual selection of signal enhancement strategies as a part of the hearing-aid fitting process.

The results of the corrective rehabilitation program on the gait of amateur athletes with long-term consequences of brain injury

Aim: To study the results of the quality of life, the state of vestibular disorders and the nature of walking of amateur athletes with the consequences of a combat craniocerebral injury after rehabilitation treatment according to a correctional program. Materials and Methods: The study was conducted on the basis of the Ukrainian Scientific Research Institute of Prosthetics in Kharkov. Under observation were 38 men aged 25-42 years with long-term consequences of a closed craniocerebral injury in the late long-term period. In all patients, complications after TBI were persistent headache, decreased muscle strength in the lower extremities, impaired coordination and balance, and walking patterns. All patients were involved in amateur sports before injury. The following research methods were used during the examination: visual analogue pain scale (VAS), Lovett manual muscle test, Bohannon test, ≪Timed Up and Go test≫. Results: All patients were randomly divided into two groups. Patients Gr.1 (n=20) were trained according to the developed program, which included training according to the PNF method, kinesiotherapy, classes on the C-mill sensory treadmill and the Hunova computer device, segmental reflex massage. Patients Gr. 2 (n=18) underwent a course of physical rehabilitation according to the generally accepted methodology of the Ministry of Health of Ukraine. After working with patients according to the developed correction and rehabilitation program, the following dynamics were observed: the quality of life on the VAS scale in Gr.1 patients had a statistically significant difference (p<0.05) compared to the primary indicator. The dynamics of the Lovett manual muscle test indicated an increase in the muscle strength of the extensor and flexor muscle groups of the lower extremities, the dynamics of the balance indicator in the standing position behind Bohann in all Gr.1 patients and acquired statistical significance (p<0,05). According to the test “Timed Up and Go” patients Gr.1 approached the standard value (p<0,05). In all patients of Gr. 2, the studied characteristics had a positive trend (p>0,05). Conclusions: Individual selection of physical exercises, development of correctional and rehabilitation programs, multidisciplinary approach has a positive impact on changes in the functional state of amateur athletes, quality of life and contributes to the return to an active social life.

Subthreshold Micropulse Laser (577 nm) Therapy with an Individual Approach for Power Titration in Patients with Chronic Central Serous Chorioretinopathy (Pilot Study)

Purpose. To study the safety and effectiveness of subthreshold micropulse (SML) 577 nm laser therapy with an individual power titration in treating patients with chronic central serous chorioretinopathy (CSC). Methods. The study was a prospective, single‐centre observation of 30 patients (30 eyes) with chronic CSC. All patients with chronic CSC were treated with a 577 nm micropulse laser. Individual power parameters for each patient were titrated in a micropulse mode. The primary outcome measure was best‐corrected visual acuity (BCVA) at 6‐month follow‐up. The secondary outcome measures were as follows: central retinal thickness (CRT) and maximum subretinal fluid height (SRFH) according to optical coherence tomography, number of laser sessions, and treatment safety at 6‐month follow‐up. Results. Before treatment, the mean BCVA was 0.35 ± 0.16, the mean CRT was 285 ± 76 µm, and the mean SRFH was 311 ± 85 µm. Six months after 577 nm SML therapy, there was a statistically significant increase in the mean BCVA with the maximum correction to 0.45 ± 0.15 (p = 0.001). The mean CRT and SRFH decreased significantly to 236 ± 45 μm (p = 0.003) and 45 ± 25 μm (p = 0.001), respectively. At the end of the follow‐up, complete resorption of the subretinal fluid was noted in 50% (15 eyes), and in 43% (13 eyes), a decrease in the SRFH was observed. During the entire observation period, 25 patients underwent 1 session of 577 nm SML therapy, 2 patients underwent 2 sessions, and 3 patients underwent the intervention three times. Conclusion. SML 577 nm therapy with individual selection of laser power in a micropulse mode is a safe and effective method of treating patients with chronic CSC. Further studies are needed to test the long‐term safety and efficacy of 577 nm SML therapy with individual power settings in chronic CSC.

New variety of white lupine Monica (Lupinus albus L.)

Characterization of promising white lupine hybrid lines (LN5 and LN1-1) and their parental forms (Lucky801 and PI533704) was done. Biometric analysis of each variety and line was performed according to main quantitative traits and phenological stages and periods. A new variety of white lupine Monica (from line LN5) was created with a direction of use for seeds. It was obtained through repeated individual selection from the cross Lucky801 ? PI533704. The variety belongs to the medium-ripening group with a duration of the vegetation period of 129 days. It has genetically completed growth. The height of the plant was 87 cm. The variety has high lodging resistance and good adaptability to abiotic conditions. The first pods were formed at 40 cm. The pods of the plant are formed on the main stem and on shortened lateral branches of the first and second order. About 28 uncrackable pods formed on one plant. The inflorescence is medium-sized, blue-white, the seeds are white, medium-sized. The number of seeds in one plant is on average 114. The protein content of the grain is 33%. The variety is distinguished by high potential seed productivity (the mass of seeds per plant 37 g). The mass of 1000 seeds is 339 g. The average yield of grain (3150 kg/ha) in the competition variety trials exceeds the average yield of the parental forms (2940 kg/ha). By decision of the Expert Commission at the Executive Agency for Variety Testing, Field Inspection and Seed Control, Bulgaria (appointed by order RD-10-1/14.01.2022) and by order No. RD-12-1 of the Minister of Agriculture of the Republic of Bulgaria dated 02.03.2022, the Monica variety was recognized as a new and original.

Changes in climate indicators of degradation of UNESCO cultural heritage sites in the European part of Russia

Cultural heritage sites are under threat of destruction due to the impact of climate change and related hazards such as rainstorms, floods, droughts. High vulnerability to natural disasters and important historical and socio-cultural value require special attention to World Heritage properties. The goal of the work is to assess the impact of climate on the destruction of building materials of UNESCO cultural heritage sites for four cities in the European part of Russia (Derbent, Kazan, Petrozavodsk and Pskov). The work uses daily data on air temperature and precipitation for the period 1961–2020. Five indices were used to assess the impact of frost (days with air temperatures below 0°C and minus 5°C, freeze-thaw cycles, Wet-frost index and frost decay exposure index) and two indices of extreme air temperatures and precipitation (percentage of days with maximum air temperature higher 90th percentile and number of days with precipitation above 99th percentile). In addition, changes in the indices between two climatic periods, 1961–1990 and 1991–2020, were estimated. The results showed a reduction in the risk of damage to cultural heritage sites by low air temperatures, while the frequency of freeze-thaw cycles increased in the northern regions against the backdrop of rising surface air temperatures. The change in extreme temperatures and precipitation has a positive trend, which increases the associated risks of destruction of materials of cultural heritage sites. Differences in climatic conditions require an individual selection of indicators to assess the impact of climate change on the destruction of building materials and an integrated approach for each cultural heritage site.

Ensemble Feature Selection for Age Estimation from Speech

The voice signal carries a wide range of data about the speaker, including their physical characteristics, feelings, and level of health. There are several uses for the estimate of these physical characteristics from the speech in forensics, security, surveillance, marketing, and customer service. The primary goal of this research is to identify the auditory characteristics that aid in estimating a speaker’s age. To this end, an ensemble feature selection model is proposed that selects the best features from a baseline acoustic feature vector for age estimation from speech. Using a feature vector that covers various spectral, temporal, and prosodic aspects of speech, an ensemble-based automatic feature selection is performed by, first calculating the feature importance or ranks based on individual feature selection methods, then voting is applied to the resulting feature ranks to attain the top-ranked subset by all feature selection methods. The proposed method is evaluated on the TIMIT dataset and achieved a mean absolute error (MAE) of 5.58 years and 5.12 years for male and female age estimation. Index Terms— Age Estimation, Feature Selection, Ensemble Selection, TIMIT dataset.

BEING BYZANTINE IN THE POST-1204 EMPIRE OF CONSTANTINOPLE: CONTINUITY AND CHANGE (SOCIETY AND CULTURE)

The impact of the Latin conquest of Constantinople has often been treated from either the perspective of the Western newcomers who established themselves in various Byzantine territories, or from the perspective of the Byzantines who left the regions that came under Latin control and who managed to establish themselves elsewhere (Nicaea, Epiros, Trebizond). In this contribution the momentous consequences of the Fourth Crusade are addressed from the perspective of those Byzantines that came under Latin rule. By zooming in on a selection of individuals and subgroups a picture is sketched of the varied Byzantine experience within the confines of the (Latin) Empire of Constantinople after 1204. Attention will be given to the various – political, religious, socio-economic and cultural – spheres of society. The focus is on the capital and the region around Constantinople, but other regions come into view as well (Thessaloniki, Adrianople, Philippopolis, Achaia/Morea, Attica, Beotia, Euobia, Crete, etc.). Chronologically this contribution is primarily limited to the period until the loss of Latin Constantinople in 1261

Development of a solution search method using the improved emperor penguin algorithm

The objects of the study are decision support systems. The subject of the study is the decision-making process in management problems using the Emperor Penguin Algorithm (EPA), an advanced genetic algorithm and evolving artificial neural networks. A solution search method using the improved EPA is proposed. The study is based on the EPA algorithm for finding a solution regarding the object state. Evolving artificial neural networks are used to train EPA, and an advanced genetic algorithm is used to select the best EPA. The method has the following sequence of actions: – input of initial data; – setting agents on the search plane; – numbering EPA in the flock; – setting the initial velocity of the EPA and thermal radiation of each EPA; – calculation of the position of each EPA on the total search area and its cost; – approach (attraction) of the EPA to another EPA; – changing in the trajectory of EPA movement; – selection of the best individuals from the EPA flock; – ranking the obtained solutions and sorting them; – training EPA knowledge bases; – determining the amount of necessary computing resources for an intelligent decision support system. The originality of the proposed method lies in setting EPA taking into account the uncertainty of the initial data, improved global and local search procedures taking into account the noise degree of data on the state of the analysis object. The method makes it possible to increase the efficiency of data processing at the level of 13–17 % due to the use of additional improved procedures. The proposed method should be used to solve the problems of evaluating complex and dynamic processes in the interests of solving national security problems

Publication History and Associated Academic Metrics of Selected Content Speakers at Arthroscopy Association of North America and American Orthopaedic Society for Sports MedicineAnnual Meetings

Background Annual meetings held by the Arthroscopy Association of North America (AANA) and the American Orthopaedic Society for Sports Medicine (AOSSM) are important platforms for showcasing relevant sports medicine innovation and research. While meeting planning committees likely consider multiple factors when selecting content speakers, it may be assumed that these speakers are well-published or have an academic reputation on their topic of presentation. Hypothesis/Purpose To assess the peer-reviewed publication history and associated academic metrics of selected content speakers of prominent sports medicine society meetings and to identify content areas that lack speakers with previous peer-reviewed publications on their topic of presentation. Study Design Cross-Sectional Review Methods The 2016-2019 conference programs of AANA and AOSSM annual meetings were screened for selected content speakers. Each selected content speaker was searched in the Scopus database to identify prior peer-reviewed publications that were relevant to their presentation topic. Each selected content speaker, presentation, and content category was analyzed to determine the speakers’ Hirsch index (H-index), number of speakers’ previous topic-specific publications, manuscripts’ weighted citation count (WCC), and number of speakers using means and proportions. Comparisons were performed with two-sample T-tests for continuous variables and two-sample Z-tests for proportions for categorical variables, with p-values less than 0.05 indicating statistical significance. Results Of 432 total lectures, 371 (86%) were given by speakers who were previously published on their topic, leaving only 61 lectures (14%) by speakers without previous topic-specific publication (p=0.0005). Nonoperative sports medicine had the highest proportion (34%, 24/71) of lectures delivered by speakers without prior topic-specific publications. Speakers presenting on the hip had the highest H-index (41.67); speakers presenting on the elbow held the highest average number of prior topic-specific publications (12.17); and speakers presenting on biologics held the highest average WCC (8.56). There were no differences between conferences in regard to the proportion of speakers without previous topic-specific publications, the total average number of prior topic-specific publications per speaker, or the total average WCC. Conclusion The AANA and AOSSM annual meetings largely include selected content speakers with prior peer-reviewed literature. While publication history and associated academic metrics may be factors in speaker selection, each organization likely has its own individual selection criteria for delivering high-quality programs.

Новый сорт горчицы сарептской яровой Дюна

The new mustard cultivar Dyuna was developed by a method of multiple individual selection of elite plants from an interspecific hybrid combination of a brown mustard cultivar Rosinka and a spring rapeseed BN-2254 using self-pollination. The main features of the cultivar are brown color of seed coat and high content of essential oil – about 0.76%. The new cultivar is characterized with high potential yield, which exceeds the standard variety by 0.22 t/ha. Cultivation of the cultivar Dyuna allows obtaining raw material with increased contents of antioxidants and phytoncides to produce wide diversity of condiments, most particularly popular and spiciest Dijon mustard that requires for dark mustard seeds with high content of essential oil.

CREATING A DATA PROCESSING SYSTEM FOR THERAPY DEPARTMENT

Over the past few decades, medical ideas and technologies that were previously considered science fiction have rapidly burst into basic and clinical medicine, allowing it to make a transition from standardized treatment methods to individual selection of medicines, taking into account the genetic characteristics of each individual patient. In addition, the generation of ideas at the intersection of medicine and information technology is changing the usual approaches to health monitoring and treatment. In this context, considering medicine as a complex and specific field of activity, which is characterized by a very high level of heterogeneous medical and economic information, two tasks are updated - optimization of the clinical and economic activities of a medical institution. The ultimate goal of these tasks is to optimize the performance of the healthcare system in general and any medical institution in particular. The introducing of automatic systems for processing and analyzing large volumes of data is relevant not only in clinical practice, but also in the healthcare system as a whole for planning the financing and management of medical organizations, monitoring the circulation of medicines and pricing throughout the country, taking into account the characteristics of each region, for achieving better efficiency. The article is devoted to the creation of functional circuit medical department disease, data processing, definition of technological schemes of the department,describe the history of the disease formatting. Keywords: database (DB), IS (information systems), EJ (extract journal)

Очень высокорослый среднеспелый сорт сои Мамонт

A very tall, middle maturing soybean cultivar Mamont, with traits of gigantism, was obtained as a result of individual selection in F4 from the hybrid combination Vilana × Pin GD for the characteristics of tall growth (> 160 cm) of the stem, large seeds, mid-ripening and non-lodging ability. Based on the results of variety testing 2020–2022, the soybean cultivar Mamont exceeded the standard cultivar Vilana by 0.18 t/ha by yield. The height of plants at the latitude of Krasnodar (45°) is 152–174 cm. In optimal cultivation conditions for moisture supply, the weight of 1000 seeds of this cultivar is 165–195 g. The phenomenon of the gigantism in plants of the Mamont cultivar in optimal growing conditions is confirmed to be 48 % more intense daily increase in plant height, and a 71% more intense daily increase in aboveground biomass compared to these indicators for the standard cultivar Vilana. The new very tall middle maturing soybean cultivar Mamont, with traits of gigantism, is distinguished by increased responsiveness to additional moisture by increasing the traits of plant height to ultra-high, increasing the number of nodes, beans and seeds, seed size and weight, and yield. It has increased resistance of tall plants to tilting and lodging due to excessive moisture due to the increased mechanical strength of the stem. Due to its tall growth and high positive response to additional moisture supply, it is suitable for cultivation in the southern foothill and central zones of the Krasnodar region and on irrigated plot throughout the North Caucasus and Lower Volga regions of the Russian Federation.

Устойчивый к полеганию, крупносемянный сорт сои Рысь

Resistant to lodging, large-seeded mid-early maturing soybean cultivar Rys’ was obtained as a result of individual selection in F4 from the hybrid combination Slavia × Shama SRP on differentiating back-grounds based on the characteristics of semi-determinant stem growth, large seeds, reduced response to day length, cold and frost resistance. Based on the results of variety testing 2019–2022, the soybean cultivar Rys’ exceeded the standard cultivar Vilana by 0.54 t/ha by yield. The height of plants at the latitude of Krasnodar (45°) is 90–109 cm. In optimal moisture conditions, the weight of 1000 seeds of this cultivar is 165–207 g. The new high-yielding soybean cultivar Rys’ is highly resistant to low air and soil temperatures, and also reacts poorly to nonoptimal day lengths. This allows it to be cultivated in soybean-producing farms in the North Caucasus and Lower Volga regions of the Russian Federation, as well as in the republics of Central Asia and Transcaucasia at latitudes from 40 to 50°.

Erythrocyte antigen kel1 in a new form of disease history

The accumulated scientific data on the clinical significance of phenotyping antigens of the Kell blood group system were studied. The Elibrary and Pubmed libraries were searched for articles using the keywords “Kell” and “transfusion”, and the validity of the requirement to determine the antigen of the Kell blood group system by current regulations was assessed.The purpose of the determination of the K antigen (KEL1) is practically not very clear. Theoretically, in a K-positive patient, zygosity should be determined by determining the k antigen (KEL2). With the KK phenotype, there is a risk of alloimmunization with the k antigen. However, it is extremely difficult to find a KK-positive donor compatible with ABO and RhD phenotypes. In fact, the risk of alloimmunization with the KEL2 antigen of a KK-positive recipient is considered acceptable and individual donor selection can be made for recipients of multiple transfusions or alloimmunized individuals.In the Elibrary library, 62 publications were found for the term “Kell”. None of them described a patient with the KK phenotype, let alone alloimmunization with the k antigen.Anti-k is rare, even in large laboratories 1 case is detected within several years of observation. The last transfusion hemolytic reaction caused by immunization to KEL2 was described in 1969.Conclusion. Russian regulations require the transfusion of RBCs that are compatible for the KEL1 antigen, but there is no definition of such “compatibility”. World and domestic historical experience testify to the possibility of transfusion to K-positive recipients, both K-positive and K-negative erythrocytes. If there are no K-positive donor erythrocytes in the hospital, the mandatory determination of the KEL1 antigen in potential recipients of donor blood can be excluded.

Menganalisis Konsep Dasar Algoritma Genetika

Genetic algorithms are computer techniques inspired by the theory of evolution and genetics. Individual definition, chromosome initialization, chromosome testing, selection (crossover) and mutation are fundamental elements of genetic algorithms. Genetic algorithms are used to solve optimization problems, such as lesson planning, community services and traffic light adjustment. By producing the best combination of chromosomes, the genetic algorithm can achieve ideal results. The genetic algorithm produces appropriate planning data to avoid delays. This research uses the methods of data collection, individual definition and chromosome initialization. The result of this research is a service application designed to be able to plan efficiently through development using a genetic algorithm. Optimal planning occurs when processing planning data produces solutions that are efficient in terms of time, energy, and resources, and avoids conflicting schedules in the same place..

Ecological and Real-Time Route Selection Method for Multiple Vehicles in Urban Road Network

Traffic congestion has been a hot topic of research in the field of intelligent transportation, which can be alleviated by efficient route navigation. Most of the existing route planning methods are non-negotiated algorithms, which do not take into account the route conflicts and collaborative relationships between multiple vehicles. Also, most negotiated algorithms have not been comprehensively considered dynamic route collaboration between vehicles, large-scale efficient computation, environmental pollution, etc. Therefore, an ecological multivehicle real-time route selection model (EMR2SM) for urban road networks is firstly proposed in this paper, which combines real-time traffic conditions of the road network with travel time, distance, and exhaust emissions as optimization indicators. In order to solve the large-scale computation problem of traditional negotiated algorithms, an adaptive multiswarm bee colony (AMSBC) algorithm is designed, which efficiently solves the multivehicle dynamic route selection problem. AMSBC searches the optimal route for each vehicle in parallel through multiple population division and self-adaption mechanism, to make multivehicle route selection reach Nash equilibrium. Compared with three non-negotiated optimization algorithms based on swarm technology, EMR2SM is verified by experiments that it improves the efficiency and accuracy of the optimal route selection for multiple vehicles and reduces vehicle emissions, which can effectively reduce traffic congestion and environmental pollution.

A many-objective evolutionary algorithm assisted by ideal hyperplane

In many-objective optimization problems (MaOPs), balancing convergence and diversity while rapidly converging to the Pareto front is an arduous task for evolutionary algorithms. In addition, with the increase of the number of targets, the number of non-dominant solutions increases exponentially, and the individual selection pressure is insufficient. For this problem, we propose a many-objective evolution algorithm assisted by an ideal hyperplane (MaOEA-IH). To begin, the ideal hyperplane is built from the extremums of each dimension of objective space, guiding the individual to the Pareto front of search. Second, a parallel p-norm mating selection strategy based on the ideal hyperplane is proposed to improve convergence. In addition, two other factors are taken into account: (1) different p-norms are used to measure different spatial scales; and (2) individual selection uncertainty is defined by incorporating a probabilistic perturbation mechanism. Following that, the sum of objectives is applied to shift-based density estimation, which serves as an evaluation criterion in the environmental selection operation. This method increases the chances of solutions with high convergence and diversity entering the next generation, thereby increasing selection pressure. On three benchmark problems of DTLZ, WFG, and MaF, we compare MaOEA-IH with seven excellent algorithms. The results demonstrate that the MaOEA-IH proposed is highly competitive in solving MaOPs.

A Loss Differentiation Method Based on Heterogeneous Ensemble Learning Model for Low Earth Orbit Satellite Networks.

In light of the high bit error rate in satellite network links, the traditional transmission control protocol (TCP) fails to distinguish between congestion and wireless losses, and existing loss differentiation methods lack heterogeneous ensemble learning models, especially feature selection for loss differentiation, individual classifier selection methods, effective ensemble strategies, etc. A loss differentiation method based on heterogeneous ensemble learning (LDM-HEL) for low-Earth-orbit (LEO) satellite networks is proposed. This method utilizes the Relief and mutual information algorithms for selecting loss differentiation features and employs the least-squares support vector machine, decision tree, logistic regression, and K-nearest neighbor as individual learners. An ensemble strategy is designed using the stochastic gradient descent method to optimize the weights of individual learners. Simulation results demonstrate that the proposed LDM-HEL achieves higher accuracy rate, recall rate, and F1-score in the simulation scenario, and significantly improves throughput performance when applied to TCP. Compared with the integrated model LDM-satellite, the above indexes can be improved by 4.37%, 4.55%, 4.87%, and 9.28%, respectively.

Flower color polymorphism of a wild Iris on the Qinghai-Tibet plateau

BackgroundFlower color plays a crucial role in attracting pollinators and facilitating environmental adaptation. Investigating the causes of flower color polymorphism and understanding their potential effects on both ecology and genetics can enhance our understanding of flower color polymorphism in wild plant.ResultsIn this study, we examined the differences of potential male and female fitness between purple- and yellow- flower individuals in Iris potaninii on the Qinghai-Tibet Plateau, and screened key genes and positively selective genes involved in flower color change. Our results showed that yellow flower exhibited a higher pollen-to-ovule ratio. Yellow flowers were derived from purple flowers due to the loss of anthocyanins, and F3H could be an essential gene affecting flower color variation though expression regulation and sequence polymorphism in this species. Furthermore, our findings suggest that genes positively selected in yellow-flowered I. potaninii might be involved in nucleotide excision repair and plant-pathogen interactions.ConclusionsThese results suggest that F3H induces the flower color variation of Iris potaninii, and the subsequent ecological and additive positive selection on yellow flowers may further enhance plant adaptations to alpine environments.

Parallel shifts in flight-height associated with altitude across incipient Heliconius species.

Vertical gradients in microclimate, resource availability, and interspecific interactions are thought to underly stratification patterns in tropical insect communities. However, only a few studies have explored the adaptive significance of vertical space use during the early stages of reproductive isolation. We analysed flight-height variation across speciation events in Heliconius butterflies, representing parallel colonizations of high-altitude forest. We measured flight-height in wild H. erato venus and H. chestertonii, parapatric lowland and mountain specialists, respectively, and found that H. chestertonii consistently flies at a lower height. By comparing our data to previously published results for the ecologically equivalent H. e. cyrbia (lowland) and H. himera (high altitude), we found that the species flying closest to the ground are those that recently colonized high-altitude forests. We show that these repeated trends largely result from shared patterns of ecological selection producing parallel trait-shifts in H. himera and H. chestertonii. Although our results imply a signature of local adaptation, we did not find an association between resource distribution and flight-height in H. e. venus and H. chestertonii. We discuss how this pattern may be explained by variations in forest structure and microclimate. Overall, our findings underscore the importance of behavioural adjustments during early divergence mediated by altitude-shifts.