Form Of Tree Research Articles

Identifikasi Tumbuhan Bawah di Dusung pada Ketinggian Tempat yang Berbeda di Dusung Hative Besar, Kecamatan Teluk Ambon, Kota Ambon

"Dusung" is a habitat with a variety of plant communities in the form of trees. bushes, and grass. Research aims to identify under growth in "Dusung" at different altitudes. The research was carried out in Dusung Hative Besar using the method of surveying weeds directly in the field. Vegetation analysis using the squared method by purposive sampling with sample plots measuring 1×1m. Sampling on nutmeg plantation areas is carried out in each area at various different heights, namely at altitudes of 0, 100, and 200 m asl. The results showed that the value of the community coefficient (C) obtained from the comparison between two communities, namely between 0 and 100 m asl, was 0%, while 0 and 200 m above sea level was3.17%. This shows that the lower plant communities at an altitude of 0 and 100 m above sea level and 0 and 200 m above sea level are different because of the value of C<70%. While the comparison between two communities altitudes of 100 and 200 asl has a C value of 72.48% means that the lower plant community between the two heights of the place being compared is the same or uniform (C >70%).

Genetic algorithm enabled virtual multicast tree embedding in Software-Defined Networks

The recent network virtualization technology enables the multi-tenancy, where various virtual network requests can share the same physical network by decoupling network services from the underlying hardware architecture. The process of virtual node and link mapping onto a shared Substrate Network (SN) by satisfying the requested network resources (i.e., bandwidth, computing capacity, etc.) is referred to as Virtual Network Embedding (VNE), which is known as an NP-Hard problem. The problem of VNE aims to exhibit one-to-one (unicast) communication. However, the motivation of this research is to explore how to efficiently map virtual networks with one-to-many (multicast) communications, which are in the form of Virtual Multicast Trees (VMTs), onto an SN. This problem differs from the traditional VNE problem and has not been well-studied by the research community. To this end, we propose a novel algorithm, Modified Genetic Algorithm for Virtual Multicast Tree Embedding (MGA-VMTE), to embed VMTs onto a shared SN in this research. The proposed MGA-VMTE algorithm focuses on minimizing the network resource consumption (i.e., bandwidth) under end-to-end delay constraint in the SN while satisfying the computing request of virtual nodes. Our extensive simulations demonstrate that the MGA-VMTE algorithm outperforms the dynamic impact factor and traditional greedy-based virtual multicast tree embedding approaches regarding bandwidth consumption, acceptance ratio, and resource depletion ratio metrics on NSFNET, USNET, Random-60 node, and Random-120 node network topologies.

Spatial pattern of propagation digital terrestrial television system in east jakarta city

Development of television has gone into terrestrial digital systems that have many advantages over previous (analogue) systems. The nature of radio waves for digital terrestrial television broadcasting that propagates or propagation causes reflection and diffraction due to disturbances or barriers in the form of tall buildings and trees. The purpose of this research is to analyze propagation patterns of digital terrestrial television systems and the effect of physical conditions on the propagation value of digital terrestrial television systems. The variable is land cover, relief, slope direction, distance from transmitter, height, and building height barrier. The method uses spatial analysis within grid analysis and correlation analysis. The results of this study showed that the propagation pattern of digital terrestrial television systems spread randomly to the moderate signal in the central and northeast of East Jakarta city and clustered for a bad signal in the north and northwest areas of East Jakarta city and good signal in the southern region of East Jakarta city. Based on correlation analysis, the propagation pattern of digital terrestrial television systems influenced by the physical condition of the region from variable height and height barriers of buildings.

Predictive Models of Driver Deceleration and Acceleration Responses to Lead Vehicle Cutting In and Out

A common maneuver drivers perform and experience on the road is changing lanes. Autonomous vehicles are required to engage a lane change safely and to react to the other road users’ lane changes. To develop autonomous vehicles that change lanes or respond to the lead vehicle’s lane changes in a safe and human-like way, one should investigate the factors that affect human driver responses. By reviewing the literature to identify potential factors, this study extracted these factors from a naturalistic driving data set and associated them with driver deceleration and acceleration responses to the lead vehicle’s cut-in and cut-out to develop predictive models for the impact of the events on traffic flow. After the events were verified as accurate, the variables associated with the events, including range, range rate, speed, lateral position in the lane, and average acceleration were analyzed using logistic regression, support vector machines (SVM), and two forms of decision trees. In total, 799 cut-in events and 684 cut-out events with the necessary variables were applied for analysis. The significant variables influencing driver behavior were found, and using these variables, the predictive models achieved around 80% accuracy for cut-ins, and 73% accuracy for cut-outs on test data. These results will assist in the future design of autonomous vehicle control to minimize detrimental effects on traffic when changing lanes and safe longitudinal control when responding to a lead vehicle’s lane changes, allowing for safe integration with human drivers, and better design of driver assistance systems.

Pengaruh tata elemen fisik terhadap pola aktivitas pengunjung pada Taman Lila Ulangun di sempadan Sungai Oongan Denpasar

The river border arrangement can be used as a place for public activities, which one is the Lila Ulangun Park on the Oongan River (tukad) border, Tonja Village, Denpasar. Previously, this area was an unorganized area that it had minimal activity. With the arrangement on this river border, indirectly invites people or visitors to do activities in here. Activities that occur in Lila Ulangun Park are related to physical element settings. This study aims to identify utilization activity patterns and the influence of the physical setting at Lila Ulangun Park. This study uses descriptive qualitative methods with data collection techniques by means of literature studies, interviews and field observations. The results of this study indicate that the intensity of visitors in the classification of time units looks different where the most activity occurs in the afternoon. From the research results, it was also found that there was a relation between activity and the physical setting of the park as well as the influence of activity. Shade in the form of shady trees, gazebo, accessibility, open space, and lighting are the most influential physical elements in safety and comfort in activities with different time contexts. Researchers provide recommendations in the form of facilities such as gazebos, shade trees, and lighting at several points of the room.

Classification of Prospective Students with Rapid Miner

The application of information systems in various daily life processes results in data accumulation. Classification is a process in data mining to perform data analysis to generate models to describe the classes contained in the data. In this study, the ID3 Algorithm was used to classify prospective student data. This research employed a qualitative research model using the rapidminer tool application to carry out the classification process. Processed data is data obtained from surveys through google form media. The results of this study showed a classification model using the Interactive Dichotomizer Algorithm (id3), which can be developed into an information system for the admission of prospective students. It also revealed that data classification of students "cannot" or "can" at the foundation of the boarding school Bahrul Ulum Jombang in the form of a decision tree. Based on the decision tree, it was found that 50.72% (35 people) were classified as poor/incapable, and 49.27% ​​(34 people) were classified as capable from a total of 69 data on prospective students.

Field performance of progenies of Pinus radiata selected for resistance to Diplodia-associated shoot dieback

Background: A severe outbreak of Diplodia-associated dieback of Pinus radiata D.Don shoots in 1967 prompted a pilot programme of selection for resistance to dieback. Plus trees were selected in 1970 for absence of dieback, growth and tree form, and seed collected. Methods: Twenty open-pollinated progenies plus two control lots were field-tested on two sites, and assessed around 6.5 years after planting. Alternative measures of shoot dieback were recorded, as were dbhob and scores for growth and form variables. Data were analysed for seedlot differences, heritability estimates and various genetic correlations. Results: Dieback at one site allowed good resolution of progeny differences, whatever the dieback measure. Remarkably, no response to field selection for resistance was evident, unlike in a glasshouse inoculation trial. Nor did progeny rankings correlate with those in the inoculation trial. Between the trial sites no clear seedlot rank changes were evident for any trait. Conclusions: The disparity with results from the inoculation trial is unexplained, although a role of endophyte status is postulated. Together with non-recurrence of past dieback outbreaks, the disparity means that selection for field resistance is not promising.

Carbon Allocation of Quercus mongolica Fisch. ex Ledeb. across Different Life Stages Differed by Tree and Shrub Growth Forms at the Driest Site of Its Distribution

There are less than 10% of woody species that can have both tree and shrub growth forms globally. At the xeric timberline, we observed the tree-to-shrub shift of the Quercus mongolica Fisch. ex Ledeb.. Few studies have explored the underlined mechanism of this morphological transition of tree-to-shrub in arid regions. To examine whether the tree-to-shrub shift affects carbohydrate allocation and to verify the effect of life stage on non-structural carbohydrate (NSC) storage, we measured the concentration of soluble sugar and starch of Q. mongolica in the seedlings, saplings, and adult trees by selecting two sites with either tree or shrub growth forms of Q. mongolica at the driest area of its distribution. Accordingly, there was no significant difference in the radial growth with different growth forms (p > 0.05). The results showed that the effects of growth form on NSC concentrations are significant in the seedling and sapling stages, but become less pronounced as Q. mongolica grows. The results of the linear mixed model showed that life stage has a significant effect on soluble sugar concentration of tree-form (p < 0.05), starch and TNC concentration of shrub-form (p < 0.05). Compared with a shrub form without seedling stage, a tree form needs to accumulate more soluble sugar from seedling stage to adapt to arid environment. Saplings and adult shrubs store more starch, especially in thick roots, in preparation for sprout regeneration. Our study shows that the same species with tree and shrub forms embody differentiated carbohydrate allocation strategies, suggesting that shrub form can better adapt to a drier habitat, and the tree-to-shrub shift can benefit the expansion of woody species distribution in dryland.

Explainable machine learning methods and respiratory oscillometry for the diagnosis of respiratory abnormalities in sarcoidosis

BackgroundIn this work, we developed many machine learning classifiers to assist in diagnosing respiratory changes associated with sarcoidosis, based on results from the Forced Oscillation Technique (FOT), a non-invasive method used to assess pulmonary mechanics. In addition to accurate results, there is a particular interest in their interpretability and explainability, so we used Genetic Programming since the classification is made with intelligible expressions and we also evaluate the feature importance in different experiments to find the more discriminative features.Methodology/principal findingsWe used genetic programming in its traditional tree form and a grammar-based form. To check if interpretable results are competitive, we compared their performance to K-Nearest Neighbors, Support Vector Machine, AdaBoost, Random Forest, LightGBM, XGBoost, Decision Trees and Logistic Regressor. We also performed experiments with fuzzy features and tested a feature selection technique to bring even more interpretability. The data used to feed the classifiers come from the FOT exams in 72 individuals, of which 25 were healthy, and 47 were diagnosed with sarcoidosis. Among the latter, 24 showed normal conditions by spirometry, and 23 showed respiratory changes. The results achieved high accuracy (AUC > 0.90) in two analyses performed (controls vs. individuals with sarcoidosis and normal spirometry and controls vs. individuals with sarcoidosis and altered spirometry). Genetic Programming and Grammatical Evolution were particularly beneficial because they provide intelligible expressions to make the classification. The observation of which features were selected most frequently also brought explainability to the study of sarcoidosis.ConclusionsThe proposed system may provide decision support for clinicians when they are struggling to give a confirmed clinical diagnosis. Clinicians may reference the prediction results and make better decisions, improving the productivity of pulmonary function services by AI-assisted workflow.

Study of Medicinal Plants Found in Yamkeshwar Block District Pauri, and their Therapeutic Uses, Uttarakhand, India with reference to Bhavaprakash Nighantu: A Review

The prolific plant diversity of Uttarakhand hills has provided an initial lead to the local people to look for various plant species for the purpose of food, medicine, spices and perfumes. Medicinal plants found in Pauri district at Yamkeshwar block Uttarakhand, India have resulted in the documentation of medicinal, aromatic and spice plant species. These species were distributed over various life forms, like tree, shrub and herbaceous forms. The plants species were collected and arranged in their botanical name family, Sanskrit name, local name and their habit pattern. The leaves root, stem bark and whole plants were the mostly used. The traditional knowledge of medicinal plants gathered from local healers at Yamkeshwar block transmitted orally one generation to another generation but not documented. Now new generation is not interested in traditional knowledge of medicinal plants due to modernization, so there is an urgent need to document ethnomedicinal plants before the knowledge become extinct. Conservation and sustainable utilization of these valuable medicinal plant species is essential to protect the traditional knowledge regarding plants and plant based healing practices. In this article made an effort to document such information, especially the plants found in that region and use of plants for medicine, and made an effort to enlist the medicinal plants mentioned in Bhavaprakash Nighantu.

Serial Vision as a Character Forming Element of Visual Corridors Diponegoro Street Salatiga

Diponegoro Street is one of the main roads in Salatiga City, where there are still many buildings from the Dutch Colonial and vegetation in the form of large trees which visually gives its own characteristics and can describe Salatiga City as a resting place in the past. Over time, the Diponegoro road underwent a physical change in line with urban needs. It is feared that there will be a shift in the visual character so that this study aims to determine the visual character of the corridor which can be done through serial vision analysis. The method used is a descriptive exploratory approach where the researcher acts as the main instrument in digging and analyzing field data. The results show that the character of the Diponegoro Street corridor as a heritage area of ​​the Dutch Colonial is getting stronger towards the east which is marked by the dominance of the Dutch Colonial buildings, vegetation in the form of large trees, and elements on street furniture with classical designs.

Alternate Growth Forms Can Protect Climate-Threatened Trees from Freezing Stressors

Abstract Climate change creates a variety of novel stressors for species, such as a decline in snowpack. Loss of snow has many impacts, including the loss of thermal insulation of soils. Winter/spring freezing of soils has been tied to forest mass mortality in multiple locations around the world. Many species, however, can take alternative growth forms, such as tall tree forms and short shrub-like forms. Shrub-forms may provide a unique protection from the snow loss phenomenon by providing a similar thermal insulation as snowpack. That hypothesis is tested here using yellow-cedar, a species undergoing mass mortality due to snow loss. Temperature loggers were placed under both tree- and shrub-form cedars, including areas where the species was experimentally removed. The number of soil freezing days was high in open areas, areas of tree mortality, and where the shrub-form was removed, but was almost zero in areas where the shrub-form was left intact. This suggests that growth-form temperature moderation is possible and may provide an important resistance to the mortality mechanism. In other areas around the world where snow loss is resulting in soil freezing and mortality, growth forms should be investigated as a potential moderating mechanism for this particular climate change stress.

Morphometric analysis and genetic diversity in Hypericum L. using sequence related amplified polymorphism

There are about 484 species of Hypericum in the Guttiferae family, which includes Hypericoideae. In Iran, species of this genus are mainly found in the north, northwest, and center of the country, and they are key contributors to the floral elements of the Hyrcanian mountains, Irano-Turanian, and Mediterranean regions (such as the Zagros). Medicinal, commercial, and horticultural values are associated with these plants.The genetic diversity was assessed through Sequence-related amplified polymorphism. To uncover genetic diversity and species characteristics in Hypericum species, were studied through a combination of morphological and molecular data. Eighty-five individuals related to 7 Hypericum were collected in 6 provinces. A total of 76 (Number of total loci) (NTL) DNA bands were produced through polymerase chain reaction amplifications (PCR) amplification of seven Hypericum species. These bands were produced with the combinations of 5 selective primers. The total number of amplified fragments ranged from 10 to 20. According to the SRAP (Sequence-related amplified polymorphism) markers analysis, H. perforatum and H. asperulum had the lowest similarity. This study also detected a significant signature of isolation by distance (Mantel test results). Present results showed that sequence-related amplified polymorphism have the potential to identify and decipher genetic affinity in Hypericum species. Current results have implications in biodiversity and conservation programs. Besides this, present results could pave the way for selecting suitable ecotypes for forage and pasture purposes in Iran. Genus Hypericum (Guttiferae, Hypericoideae) is perennial, belonging to the Hypericaceae family, having 484 species in forms of trees, shrubs, and herbs, distributed in 36 taxonomic sections. The genetic diversity was assessed through Sequence-related amplified polymorphism. To uncover genetic diversity and species characteristics in Hypericum species, were studied through a combination of morphological and molecular data. Eighty-five individuals related to 7 Hypericum were collected in 6 provinces. A total of 76 (Number of total loci) (NTL) DNA bands were produced through polymerase chain reaction amplifications (PCR) amplification of seven Hypericum species. These bands were produced with the combinations of 5 selective primers. The total number of amplified fragments ranged from 10 to 20. According to the SRAP (Sequence-related amplified polymorphism) markers analysis, H. perforatum and H. asperulum had the lowest similarity. This study also detected a significant signature of isolation by distance (Mantel test results). Present results showed that sequence-related amplified polymorphism have the potential to identify and decipher genetic affinity in Hypericum species. Current results have implications in biodiversity and conservation programs. Besides this, present results could pave the way for selecting suitable ecotypes for forage and pasture purposes in Iran.

Representasi Alam Etnis Suku Lauje Sulawesi Tengah dalam Novel Di Balik Kabut Gunung Sojol Karya Moh. Rifai M. Hadi: Tinjauan Ekokritik

Abstract: This research purposes to describe nature which is represented of Lauje ethnicity Central Sulawesi based on the ecocritic study Glotfelty. This research uses the qualitative research method. Data of this research is written text from the novel di Balik Kabut Gunung Sojol by Moh. Rifai M. Hadi describes the represented nature. Source of this research data is novel di Balik Kabut Gunung Sojol by Moh. Rifai M. Hadi. The data collection techniques of this research are literature study techniques including reading, understanding, data corpus, and data analysis. This research analysis makes to identify, classify, analyze, and describe the nature which is represented Di Balik Kabut Gunung Sojol by Moh. Rifai M. Hadi. The results of the analysis indicate that the novel Di Balik Kabut Gunug Sojol reveals the representation of nature. The natural representation consists of natural damage and the natural beauty of Mount Sojol. The natural damage is in the form of tree cutting, rare plants, animal extinction, climate, and pollution. The natural beauty of the mountainous background is marked by depictions of nature in the form of rivers, trees, fog, and beaches.Keywords: Representation, novel, ecocritic.

Non-destructive evaluation of strength and stiffness of Eucalyptus pellita. A comparison of near infrared spectroscopy and acoustic wave velocity assessment

Tree improvement programmes benefit from measured data for multiple phenotypes in order to potentially gain maximum genetic leverage for selection. Diameter at breast height, tree height and tree form have traditionally dominated the measured phenotype due to their ease of measurement, and the fact that logs are traded by volume. More complex traits, including those that potentially offer economic benefit in terms of quality and end-product performance such as strength and stiffness, are more difficult to measure in standing trees and are frequently overlooked. These traits are therefore in need of rapid methods of assessment. Tree improvement of Eucalyptus pellita in Malaysian Borneo for solid wood and veneer product utilisation is one such example of where selection for improved stiffness is desirable. Genetic trials of E. pellita were assessed using acoustic velocity measurements at several intervention points, including the standing tree, fallen stem, logs and boards, along with near infrared spectroscopic measurement of the final test samples. Calibrations were developed for modulus of elasticity (MOE), modulus of rupture (MOR) and compression parallel to the grain, using reference values obtained from 3-point bending of small clearwood test samples obtained from the trees following felling and sawing to ensure back-to-log recovery of the test sample location. Dynamic MOE calculated from the standing tree acoustic velocity showed good correlation with the mean MOE from static bending for the wood in the butt log, representing the location where standing tree acoustic velocity measurements were obtained. The Savitzky-Golay second derivative pre-treatment yields the best performing calibration for the microNIR and MPA on ground wood for MOE (R2Cal = 0.76, r2CV = 0.80, r2Pred = 0.46, RMSEC and RMSECV = 1.4 GPa, RMSEP = 2.3 GPa, LV = 3) for the microNIR and R2Cal = 0.98, r2CV and r2Pred = 0.70, RMSEC = 0.5 GPa, RMSECV and RMSEP =1.5 GPa, LV = 4 for the MPA.

Robot motion planning with orientational constraints based on offline sampling datasets

Currently available algorithms developed for planning robot motion paths in configuration spaces with both obstacle avoidance constraints and end-effector pose constraints suffer from low sampling rates, long computation times, and requirements for specific manipulator structures. The present work addresses this issue by developing an improved sampling-type motion planning algorithm based on a modified form of the rapidly-exploring random tree (RRT) algorithm. The sampling process is based on the standard premise that the constrained manifold is continuous within a particular range. Therefore, configurations that meet the specific constraints associated with a proscribed motion planning task are sampled in advance, and those configurations meeting the constraints are stored in an offline configuration dataset that is employed exclusively in the RRT process. Accordingly, the proposed algorithm facilitates a greatly streamlined motion planning process for manipulators with high degrees of freedom. The computational speed and planning precision of the algorithm are further enhanced by introducing a target bias mechanism and applying an adaptive mechanism to improve the obstacle collision detection performance. The high motion-planning performance of the proposed algorithm is verified by comparisons with the performances of other state-of-the-art RRT-based algorithms based on numerical simulations.

Reduced Robust Random Cut Forest for Out-of-Distribution Detection in Machine Learning Models

Most machine learning-based regressors extract information from data collected via past observations of limited length to make predictions in the future. Consequently, when input to these trained models is data with significantly different statistical properties from data used for training, there is no guarantee of accurate prediction. Consequently, using these models on out-of-distribution input data may result in a completely different predicted outcome from the desired one, which is not only erroneous but can also be hazardous in some cases. Successful deployment of these machine learning models in any system requires a detection system, which should be able to distinguish between out-of-distribution and in-distribution data (i.e. similar to training data). In this paper, we introduce a novel approach for this detection process using a Reduced Robust Random Cut Forest (RRRCF) data structure, which can be used on both small and large data sets. Similar to the Robust Random Cut Forest (RRCF), RRRCF is a structured, but a reduced representation of the training data sub-space in form of cut trees. Empirical results of this method on both low and high-dimensional data showed that inference about data being in/out of training distribution can be made efficiently and the model is easy to train with no difficult hyper-parameter tuning. The paper discusses two different use-cases for testing and validating results.

A Flowering of Memory

In June 1945, Zora Neale Hurston wrote to W. E. B. Du Bois to propose a plan to create a Black cemetery to house the remains of famous Black Americans in Florida. Hurston suggested Florida because the state’s climate guaranteed the cemetery would be verdant year-round, and she included a landscaping plan of the flowers and trees she desired to furnish her memorial garden. As an initiate of New Orleans Hoodoo-Vodou, Hurston’s ontology of spirit allowed for the presence of the ancestors to indwell the living form of flowers, trees, and other topographical features of the land. I contextualize Hurston’s cemetery within an extended genealogy of Black necrogeography and the study of Black American deathscapes, examining the entangled relationship of Black gardening and Black burial practices as engendering a distinct ecology of root-working in which Black women gardeners propagate new forms of life in the very dust of our decomposition.

Optimalisasi Algoritma C4.5 dalam Menganalisis Indikasi Penyebab Penyakit Feline Immunodeficiency Virus (FIV) pada Kucing

The health of a cat is an aspect and a major concern for someone who maintains it. Cats can be exposed to many diseases, one of which is Feline Immunodeficiency Virus. Feline Immunodeficiency Virus, also known as feline aids, is a disease that attacks the cat's immune system. This virus causes a decrease in the cat's immune system so that cats become vulnerable and susceptible to disease. This disease is difficult to detect because the symptoms are almost invisible. This study aims to explore new knowledge stored in the data list of cats suffering from FIV so that the cause of the disease can be known and how to solve it. The data used in this study were 50 data obtained from the Animal Hospital of West Sumatra with attributes of Body Weight (BB), Body Temperature (ST), Breathing (PN), Appetite (NM), Vomiting (MN), Dental Condition (KG), Feather Condition (KB), Skin Condition (KK) and yield. The data is processed using the C4.5 Algorithm method based on the symptoms experienced by the cat. After processing, the data will produce the entropy value and gain value for each symptom, then the right decision tree is made for cats with FIV disease. The results of this study are new knowledge about FIV disease in cats in the form of a decision tree from the symptoms they experience. The results show that there are 21 rules with the chosen determinant attribute, namely the Skin Condition (KK) attribute with a gain value of 0.398683. This research is useful for the community, especially those who keep cats so that they can be used as a reference in knowing the symptoms experienced by cats if there is an indication of FIV disease.

The morphometrical and topographical evaluation of the superior gluteal nerve in the prenatal period.

Advances in medical science are helping to break down the barriers to surgery. In the near future, neonatal or in utero operations will become the standard for the treatment of defects in the human motor system. In order to carry out such procedures properly, detailed knowledge of fetal anatomy is necessary. It must be presented in an attractive way not only for anatomists but also for potential clinicians who will use this knowledge in contact with young patients. This work responds to this demand and presents the anatomy of the superior gluteal nerve in human fetuses in an innovative way. The aim of this work is to determine the topography and morphometry of the superior gluteal nerve in the prenatal period. We chose the superior gluteal nerve as the object of our study because of its clinical significance-for the practice of planning and carrying out hip surgery and when performing intramuscular injections. The study was carried out on 40 human fetuses (20 females and 20 males) aged from 15 to 29 weeks (total body length v-pl from 130 to 345 mm). Following methods were used: anthropological, preparatory, image acquisition with a digital camera, computer measurement system Scion for Windows 4.0.3.2 Alpha and Image J (accuracy up to 0.01 mm without damaging the unique fetal material) and statistical methods. The superior gluteal nerve innervates three physiologically significant muscles of the lower limb's girdle: gluteus medius muscle, gluteus minimus muscle and tensor fasciae latae muscle. In this study the width of the main trunk of the nerve supplying each of these three muscles was measured and the position of the nerve after leaving the suprapiriform foramen was observed. A unique typology of the distribution of branches of the examined nerve has been created. The bushy and tree forms were distinguished. There was no correlation between the occurrence of tree and bushy forms with the body side (p > 0.05), but it was shown that the frequency of the occurrence of the bushy form in male fetuses is significantly higher than in female fetuses (p < 0.01). Proportional and symmetrical nerve growth dynamics were confirmed and no statistically significant sexual dimorphism was demonstrated (p > 0.05). The anatomy of the superior gluteal nerve during prenatal period has been determined. We have identified two morphological forms of it. We have observed no differences between right and left superior gluteal nerve and no sexual dimorphism. The demonstrated high variability of terminal branches of the examined nerve indicates the risk of neurological complications in the case of too deep intramuscular injections and limits the range of potential surgical interventions in the gluteal region. The above research may be of practical importance, for example for hip surgery.