Variations In Orientation Research Articles

The method for assessment of local permutations in the glomerular patterns of the rat olfactory bulb by aligning interindividual odor maps.

The comparison of odor functional maps in rodents demonstrates a high degree of inter-individual variability in glomerular activity patterns. There are substantial methodological difficulties in the interindividual assessment of local permutations in the glomerular patterns, since the position of anatomical extracranial landmarks, as well as the size, shape and angular orientation of olfactory bulbs can vary significantly. A new method for defining anatomical coordinates of active glomeruli in the rat olfactory bulb has been developed. The method compares the interindividual odor functional maps and calculates probabilistic maps of glomerular activity with adjustment. This adjustment involves rotation, scaling and shift of the functional map relative to its expected position in probabilistic map, computed according to the anatomical coordinates. The calculation of the probabilistic map of the odorant-specific response compensates for potential anatoamical errors due to individual variability in olfactory bulb dimensions and angular orientation. We show its efficiency on real data from a large animal sample recorded by two-photon calcium imaging in dorsal surface of the rat olfactory bulb. The proposed method with probabilistic map calculation enables the spatial consistency of the effects of individual odorants in different rats to be assessed and allow stereotypical positions of odor-specific clusters in the glomerular layer of the olfactory bulb to be identified.

Hydride precipitation dependence on α-parent orientation and plastic deformation in zirconium alloys

Hydrides are at the center source of mechanical degradation affecting Zr-based nuclear fuel cladding integrity during in-reactor service and even spent fuel storage. This study presents investigations on hydride precipitation in response to thermo-mechanical treatment in a hydrogenated Zircaloy-4 plate. Correlated EBSD and ECCI characterizations demonstrate stress-induced variations in α-parent orientation and stacking structure between the in-plane and reoriented hydrides. Based on the hydride strains quantified by HR-EBSD, external tensile stress is found to favor the α-grains submitted to significant {0001}<10-10> shear stress as preferential nucleation sites for reorientated hydrides. Regardless of elastic or plastic stress, the interaction between external stress and hydride strains, particularly the shear component, is expected to govern hydride nucleation probability as a function of α-grain orientation and eventually induce hydride reorientation. Influence of plastic deformation is mainly manifested in hydride distribution, where the {10-10}<11-20> slipping promotes reoriented hydride interconnection up to hundreds of microns while the {10-11}<10-1-2> twining results in a fragmented distribution, as visualized by X-ray tomography. The presented results provide solid experimental evidences for the auto-catalytic nucleation and martensitic transformation of hydride precipitation, as well as new insights into stress-induced hydride reorientation in the light of stress interaction with hydride strain.

Modeling fiber orientation and strand shape morphology in three-dimensional material extrusion additive manufacturing

The fiber orientation in composite materials is highly dependent on the manufacturing process and plays a crucial role in determining the mechanical, thermal, and electrical properties of the fabricated parts. Several simulation frameworks have been developed to predict the fiber orientation in the printed strands for Material EXtrusion Additive Manufacturing (MEX-AM) process, but studies have been limited to planar and 2D model reductions. Consequently, it is currently impossible to predict the full spatial variation of fiber orientations in a three-dimensional printed strand, and thus the effects of printing conditions remain not well understood. This work seeks to address this issue by introducing the first three-dimensional model capable of simulating the MEX-AM process with fiber-reinforcements. A fully coupled model is developed in this work, which is based on the finite-volume method and solved in the open-source multiphase software OpenFOAM. Using this framework, we explored the effects of different printing conditions on fiber orientation and strand shape morphology, and we compared our results to experimental observations when possible. We found that the extrusion and nozzle velocities significantly affected the fiber orientation while altering the gap distance between the nozzle exit and substrate had a limited impact. Moreover, increasing anisotropy using longer fibers and higher volume fractions had little influence on the fiber orientation, but their impact on the rheology altered the strand shape considerably. Prediction of fiber orientation for different printing conditions within strands will open the possibility of manufacturing products that has locally engineered properties and tailored anisotropic behavior.

ANALYSIS OF THE EFFECT OF COMPENSATION, WORK ENVIRONMENT, FAMILY ORIENTATION, AND ORGANIZATIONAL COMMITMENT ON EMPLOYEE PERFORMANCE WITH JOB SATISFACTION AS MEDIATION HERIANTO WIRANATA

The purpose of this study was to determine the effect of variable Employee Salary, Commitment, Environment and Family orientation on Employee Performance with Job Satisfaction as Mediation for employees for performance of school in Batam. The survey method was used to test this research by distributing 400 sets of questionnaires to respondents who worked in school in Batam, then the questionnaires were collected again by obtaining 269 questionnaires to be tested with the PLS program.The results of this study are expected to be input for education in school which are widely available in Batam. The results showed a significant positive relationship in all tested variables. Several limitations and recommendations for future research were also included in this study.

The Effect of Market Orientation, HR Competence, Knowledge Management on Competitive Advantage, Mediated by Company Performance

Purpose: The condition of competition between coal mining contractors causes the company leaders to manage the company and try as optimally as possible to get a competitive advantage compared to other similar companies. This study discusses the relationship of Competitive Advantage built from Market Orientation variables, HR Competence, and Knowledge Management to the performance of coal mining contractors in a comprehensive manner. It explains the transformation process of Company Performance to Competitive Advantage. Research implications: A research population is a number of 37 Coal mining contractors in Indonesia, including employees who are directly involved in strategic decision making in the company, namely the Project Head, Head Office Manager, and Director as respondents. Based on these data, Smart PLS 4 software processes structural parameter estimates according to the relational model described in the study's conceptual framework. Results and conclusion: The results showed that Market Orientation, Knowledge Management and Company Performance have a significant effect on Competitive Advantage, Quality of Human Resources, Market Orientation and Knowledge Management also has a direct effect on Company Performance, but Quality of Human Resources has no significant effect on Competitive Advantage. While the Company's Performance is a Full Mediation of the Quality of Human Resources on Competitive Advantage. Originality/value: This research contributes to the development of RBV theory, especially the study of company performance on competitive advantage in a resource-based view perspective through market orientation, HR competence, knowledge management, and the practice of applying SECI knowledge to this research object, which is proven to be able to increase competitive advantage. Theoretical reference: The originality of the theoretical model in this study contributes to the development of the RBV theory, the implementation of the concept of Competitive Advantage regarding the integration of internal key resources between intangible and capability aspects of coal mining contractors.

Effects of site response on ground motion directionality based on KiK-net records and numerical analysis

The orientation variability of earthquake ground motions (i.e., GM directionality) is an important engineering characteristic in the seismic design of structures. The GM directionality is believed to be mainly related to source and site contributions. This paper investigated the effect of site response on the change of GM directionality from the borehole depth to the ground surface. Distribution of the range for orientation variability level at both borehole and surface was presented for different intensity measures of 3006 records from downhole arrays in the KiK-net database. It was observed that both the maximum direction orientation of intensity measures and the ratio at various orientations may change significantly from depth to surface, and it is dependent on the specific intensity measures and site class. The numerical analysis of soil column considering bi-directional shaking was demonstrated to have a good ability to capture the influence of site response on the GM directionality. Thereafter, some preliminary insights into the linear and nonlinear site response effects on the GM directionality were provided. The azimuthal variation associated with the predominant period of the input borehole motion is an important factor that results in the change of GM directionality at the surface.

Vanished evaporites, halokinetic structure, and Zn-Pb mineralization in the world-class Angouran deposit, northwestern Iran

The Angouran deposit (19.3 Mt at 23.4% Zn and 4% Pb) is the second-largest Zn-Pb deposit in Iran. The deposit is hosted in a Neoproterozoic−Cambrian marble-schist sequence within a breccia pipe in a domal structure, with sulfide mineralization under low-temperature hydrothermal conditions (&amp;lt;200 ºC). The features of the ore-hosting breccias are similar to known halokinetic diapir breccias in the world but evaporite minerals are subtle. The common types of breccia clasts in the Angouran breccia pipe include a matrix-supported angular clast (float breccia) with highly variable sizes and orientations and exotic volcanic clasts. The volcanic clasts were derived from the underlying Miocene volcanic rocks, evidenced by the consistent petrography and zircon U-Pb ages dated at 20−19 Ma. Abundant smithsonite pseudomorphs after anhydrite and anhydrite inclusions within sphalerite and pre-ore marcasite in the breccia matrix indicate that the breccia pipe contains abundant anhydrite prior to the Zn-Pb mineralization. The enrichment of evaporite is also supported by the occurrence of considerable double-terminated quartz crystals that contain spherical and tabular carbonate inclusions and anomalously high Li, Na, and K concentrations, relatively high B concentration, and high δ18O values (up to 28.3‰). These observations suggest the Angouran deposit formed in a former halokinetic diapir breccia pipe. The halokinetic diapirism was possibly triggered by thrust loading of the marble-schist sequence over the Miocene evaporite beds during the Arabia-Eurasia continental collision. Halokinetic structures elsewhere in the Angouran region warrant this consideration. Most of the evaporite minerals in the breccia pipe were dissolved and replaced before and/or during subsequent Zn-Pb sulfide and smithsonite mineralization events. This study provides a good example for the identification of vanished evaporites, halokinetic structure, and associated Mississippi Valley-type mineralization.

Analisis Strategi Orientasi Pasar Dan Penggunaan Sosial Media Instagram Terhadap Keunggulan Bersaing

The purpose of this study was to determine the effect of market orientation and social media on competitive advantage. The method used in this research is descriptive, associative method with a quantitative approach. The sampling technique used in this study was Non Probability Sampling (purposive sampling) and saturated sampling (Census). The samples taken in this study were 36 MSME Food and Beverage companies in Sukabumi City. The data analysis technique used in this research is multiple correlation coefficient, determination coefficient test, simultaneous test (f test), multiple linear regression, and partial test (t test) to determine the extent of the influence of the two independent variables under study on the variable. dependent. The results showed that there was a positive and significant influence of the market orientation variable on competitive advantage of 0.907, and there was a positive and significant influence of the social media variable on the competitive advantage variable of 0.944. As well as the positive and significant influence of market orientation and social media in increasing competitive advantage by 0.930 or 90.3%, while the remaining 0.970 or 9.7% is influenced by various factors outside of this study. From these results it can be seen that market orientation variables and social media have a positive and significant effect in increasing competitive advantage, although the most dominant influence on competitive advantage is market orientation.&#x0D; &#x0D; Keywords: Market Orientation, Social Media, Competitive Advantage

Elucidating human–nature connectedness in three EU countries: A pro‐environmental behaviour perspective

Abstract Strengthening positive human–nature relationships is seen as a way to more pro‐environmental behaviour and leads to a greater environmental sustainability. Therefore, understanding human–nature relationships has attracted increasing attention among researchers. Nature connectedness is a concept developed to measure such relationships. Since nature connectedness is complex and context dependent phenomenon, more research comparing sociocultural and environmental factors within societies in different countries is needed to understand its determinants. In this study, we explored how sociodemographic and socioeconomic characteristics and value orientation of respondents and environmental variables affected nature connectedness across different contexts in the European Union. We used 11 sociodemographic, socioeconomic and personal value factors from the computer‐assisted web interview (CAWI) and six environmental variables characterizing the local environments of 1054 respondents as independent variables to explain the nature connectedness of the respondents in Greece, Poland and Sweden. The individual level of nature connectedness (response variable) was expressed by an additive index (NC‐index) based on a 5‐item scale originating from CAWI. The general additive model was applied to link NC‐index to sociodemographic, value orientation and selected environmental variables. We found that the sociodemographic characteristics of the respondents and their value orientation were substantially more important in explaining the individual level of nature connectedness than environmental variables. The NC‐index was positively correlated with the frequency of visits to the natural environment and biospheric values of the respondents, and was higher for women and the most prosperous respondents. Moreover, we observed several country‐wise differences in associations between explanatory variables and NC‐index. For example, altruistic orientation was positively related to the level of nature connectedness only in Greece, but not in two other countries, and residence during childhood was important to nature connectedness only in Sweden. Our findings that some sociodemographic, socioeconomic and value orientation variables affect the level of individual nature connectedness across studied countries are encouraging. They indicate that some universally applied educational actions may elevate the level of nature connectedness. We argue that exploration of nature connectedness from a cross‐country perspective may provide significant insights into the environmental debate in national and international contexts. Read the free Plain Language Summary for this article on the Journal blog.

Assessment of year-round wind-driven ventilation by an integrated ventilation model

This study integrates a physical model for cross ventilation and empirical formulae for single-sided ventilation to predict wind-driven ventilation of buildings. The prediction model uses reduction factors to account for the different effects of wind direction, window type, nearby buildings, and building length. The predicted ventilation rates are validated by the results of wind tunnel experiments, a CFD model, and the airflow network model in the EnergyPlus model. The integrated model is then utilized to realistically assess the natural ventilation of a residential building under varying wind speeds and directions throughout a year. The simulation results demonstrate that double-sided cross-ventilation can achieve a ventilation rate roughly 20 times larger than single-sided ventilation under the same wind speed and opening area. In addition, the EnergyPlus model underestimates the annual average ventilation rate by neglecting the shear-induced ventilation when the prevailing wind direction is parallel to the building openings. The change of prevailing wind direction in different seasons can have a substantial effect on the ventilation rate, especially when the external openings of the building are limited to certain sides. Thus, the assessment of natural ventilation of a building must take into account the building orientation and seasonal variation of natural wind conditions.

Hybrid deep learning model for detection and classification of lung cancer fusion images using MCNet

Lung cancer is a dangerous tumor that requires accurate diagnosis for effective treatment. Traditional diagnosis involves invasive and time-consuming histologic examination, and radiologists face challenges in localizing lung tumors. Deep neural convolutional networks are frequently used to locate lung cancer, but this is still difficult when not accounting for surrounding lung tissue. Despite progress in research, healthcare still uses deep learning models to improve the precision and sensitivity of large datasets. CNN (Convolutional Neural Network) accuracy standards are adequate, but image properties such as flips, construction, and other uncommon alignments diminish its efficiency. CNN also does not store the geometric distribution between scanned picture features. CT (Computed Tomography) and PET (Positron Emission Tomography) scans require a method that takes into consideration the spatial information of picture characteristics, as they are vulnerable to alignment problems during the perusing process. To address these issues, the authors propose MCNet (MobileNetV2 with Capsule Network), a hybrid network that adopts feature extraction and categorization from MobileNetV2, and capsule network is used to overcome the limitations of convolutional neural networks (CNNs) when it comes to processing images with abnormal orientations, such as tilting or rotation. Although CNNs are effective in processing images presented in a standard orientation, they have difficulty handling variations in image orientation. In this work, MobileNetV2 serves as a backbone network for Capsule Networks in lung cancer diagnosis. The lung image collection dataset verifies the effectiveness of MCNet, and experimental results show that MCNet technology performs better than previous state-of-the-art techniques. The proposed hybrid MCNet architecture achieves the clinical goal of lung cancer diagnosis with a lower computational cost, reducing processing time complexity and false positive rates compared to current techniques.

Topological Characterization of a Fault Network Along the Northern North Sea Rift Margin

AbstractThe factors that control the spatial variation of the topological characteristics of normal fault networks at the rift‐scale are poorly understood. Here, we use 3D seismic reflection data from the northern North Sea to investigate the spatial variation of the geometry, topology, and strain heterogeneity of the Late Jurassic normal fault network along the rift margin. Our results show that fault orientation varies spatially along the rift margin. Normal faults within fault blocks that are adjacent to the North Viking Graben exhibits dominant N‐S and NE‐SW strikes that are sub‐parallel to the graben axis and associated step‐over, whereas in fault blocks farther from the graben, there is a dominant NW‐SE strike. Furthermore, we identify two broad topological domains within the fault network: (a) dominated by isolated nodes, partially connected branches, and low fault connectivity, and (b) dominated by abutting nodes, fully connected branches, and moderate to high fault connectivity. These topological domains correlate with previous sub‐division of the rift margin in the northern North Sea into platform and sub‐platform structural domains, respectively. There is also a positive correlation between the spatial variability of the fault orientations and intensity, with the fault network connectivity, highlighting the relationship between normal fault geometry and topology. We conclude that the across and along‐strike variation in strain, presence of pre‐existing structures, and accommodation zone‐related deformation are key factors influencing the spatial variation of fault network properties at the rift scale.

Motivating Factors to Volunteers in Hawassa

The purpose of this study was to investigate the joint and independent contributions of power, security, conformity, tradition, benevolence, universalism, self-direction, stimulation, hedonism and achievement values to the variance in motivation to volunteer. The data were collected from 153 volunteers who were providing volunteer services in Hawassa, Misrak, and Mehal Sub-Cities. Quantitative data analysis was used. Similarly, means, standard deviations, logistic regression, discriminant analyses, item and factor analyses, t-tests, and bar charts were used to examine the data gathered from the two volunteer groups. The study finding from regression analysis indicated that the three most prominent factors that significantly contributed to the variance in motivation to volunteer were: security, universalism, and selfdirection. Analysis which employed structure coefficients and discriminant analysis nonetheless added stimulation and power as important variables in predicting self-interested motivation to volunteer. Theseresults plainly highlighted that the major contributing factors to self-interested motivation to volunteer were self-expressive orientation variables. In other words, volunteers who displayed self-interested motivation to volunteer if they were not bothered by the stability of society in their relationships, had no value for the protection of all people did not want to avoid the threat of uncertainties by controlling relationships or resources, and were internally interested in personal judgment and uniqueness. This may have implications for volunteering service institutions in that there is a need for an intervention program which is intended to encourage people to develop and internalize other-oriented value priorities for volunteer involvement.

Progress in Object Detection: An In-Depth Analysis of Methods and Use Cases

Object detection, a fundamental task in computer vision, involves identifying and localizing objects within images or videos. This paper provides a comprehensive review of traditional and deep learning-based object detection techniques and their applications, challenges, and future directions. We first discuss traditional object detection methods, which rely on handcrafted features and classical machine learning algorithms. We then explore the advancements brought by deep learning, including convolutional neural networks (CNNs) and transformer-based architectures, which have significantly improved the accuracy and efficiency of object detection tasks. A thorough comparison and evaluation of different object detection techniques are presented, considering performance metrics, speed, and robustness to object size, orientation, and occlusion variations. We also examine the diverse applications of object detection across various domains, such as robotics, autonomous vehicles, surveillance, medical imaging, and augmented reality. We outline open challenges and future research directions, emphasizing the need to combine object detection with other tasks, develop few-shot and zero-shot learning approaches, and address issues related to fairness, accountability, and transparency. This paper aims to comprehensively review the most prominent object detection techniques, their evolution, and their applications in diverse domains. We discussed traditional methods and recent deep learning-based approaches, emphasizing their strengths and limitations.

Green Purchasing Behavior in the Era of Covid-19 Pandemic

Environmental sustainability in recent years has become the focus of discussion in many media, no longer it is merely the problem of physical environmental damage such as waste, forest damage and global warming, but has evolved towards discussing changes in human behavior in consuming products concerning to the consumption of environmentally friendly products/green products. Green purchasing behavior is buying behavior that in the purchasing decision process, it considers environmental sustainability. The COVID-19 pandemic that has hit the world has an impact on various sectors of human life, including changing people's buying behavior. This study aims to analyze the influence of the Covid-19 Pandemic, Environmental Knowledge, Perceived Seriousness of Environmental Problems, Consumers Attitudes toward The Environment, Green Product Oriented and Social Influence on Green Purchasing Behavior. This research type is a quantitative research with 7 variables and 111 respondents. The population in this study is the people of the Special Region of Yogyakarta. Data were collected from September to November 2022. The sampling is using nonprobability sampling method with purposive sampling technique. Hypothesis testing used t-test (partial test) and F-tes (simultaneous test). The results of the study conclude that partially Environmental Knowledge, Consumers Attitudes toward The Environment, and Social Influence have a significant effect on Green Purchasing Behavior, while the Covid-19 Pandemic, Perceived Seriousness of Environmental Problems and Green Product Orientation variables have no significant effect on Green Purchasing Behavior. Overall, all variables have an effect of 37.3% on the Green Purchasing Behavior variable.

Spatial variation in the crustal deformation pattern in the Koyna-Warna region, western India using shear wave splitting

SUMMARY This study investigates crustal anisotropy beneath the Koyna-Warna region (KWR) using waveforms of local earthquakes of magnitude ML ≥ 1.0, recorded at 24 surface and 6 borehole seismic stations during September 2005–February 2020. Waveforms of 1402 local earthquakes that fulfil the splitting criteria (ic &amp;lt; 45°) are used for shear wave splitting analysis, yielding 738 measurements. The study examines the spatial, temporal and depth variations in the fast polarization azimuths (FPAs) and delay times (δt). The average delay times in the Koyna and Warna regions are 0.035 and 0.050 s, respectively, which did not show any significant correlation with depth. The FPAs are predominantly oriented in the NNW–SSE direction in the KWR, commensurate with the in situ maximum horizontal stress (SHmax) obtained using data from a 3-km-deep scientific borehole and individual focal mechanism solutions. The anisotropy beneath KWR is due to the alignment of fluid-filled cracks and pore throats along the SHmax, and is attributed to stress-induced anisotropy. A considerable variation in the orientation of FPAs from NW to NNW–SSE beneath KWR could be associated with heterogeneity in the lithological properties due to variation in the fracture orientation under regional stress. The non-parallel orientation of FPAs with SHmax or faults at some stations is attributed to structure-induced anisotropy, which seems to be associated with surface topography. Measurements at stations, even near the reservoirs, did not show any significant temporal variation in the splitting parameters due to the fluctuation in the water levels.

An adaptive singularity avoidance method for five-axis toolpath generation with invariant cutter-contact points and bounded tool orientation variation based on the reduction of Jacobian condition number

To enhance the five-axis machine-tool performance, it is significant to avoid the singular configuration where the kinematic and dynamic performances degrade dramatically. Most existing methods aim at solving this issue by avoiding the singularity posture in the geometric manner. Different from them, this paper aims at avoiding the singular phenomenon by reducing the Jacobian-matrix condition number, and proposes an adaptive singularity avoidance toolpath generation method. This method adds a damping diagonal matrix into the computation of the pseudo-inverse Jacobian matrix to reduce its ill-condition extent during axial path generation, thus solving the singularity phenomenon. However, the adding of damping matrix gives arise to the toolpath error. To ensure the accuracy meanwhile, an adaptive law for determination of the damping matrix is presented to balance the singularity-avoiding effect and the path error, under the constraints of condition number and tool-orientation error-tolerance thresholds, as well as invariant cutter-contact points. Simulation and experimental tests verify that the proposed method can not only realize the singular avoidance without preliminary adjustment of the original toolpath, thus can be realized in real-time NC system, but also has better singular-avoiding performance and lower toolpath error when comparing with typical methods.

The Impact of Orientation on Living Wall Façade Temperature: Manchester Case Study

Living walls are a nature-based strategy to enhance climate resilience in urban areas. There is a need to study the possible influence of living walls on the thermal performance of building façades, given the rising temperatures in 2022 across the UK. This study aims to analyze the impacts of living walls on façade temperature based on orientation variation through simulation Envi-met 5.0.3. software. The living wall studied is attached to a multistory building located in Manchester city center consisting of seven evergreen plants. An environmental simulation was carried out linked to the 2022 climate, including extremely hot and cold days. Four scenarios of façades with and without greening on the northwest and southeast orientations in summer and winter were analyzed. The results highlighted the living wall’s ability to reduce the surface temperatures on both the northwest and southeast façades on a hot summer day. There is no significant evidence of improvement for the northwest façade in the winter climate, but a modestly increased temperature is shown in the southeast compared to the bare wall. These findings indicate that living walls provide measurable advantages in the building envelope, leading to energy saving.

Is coracoid fracture with ac dislocation an unusual case

The coracoid process is a unique anatomical structure that extends anteriorly from the scapula in a hook-shaped manner, with variations in size, shape, and orientation among individuals. Although uncommon, fractures of the coracoid process may occur and can be difficult to detect on regular X-rays due to their morphology. In this case study, we report on a 46-year-old daily wage worker who presented to the emergency department with left shoulder pain and limited mobility following a traffic collision. Initial X-rays revealed only an acromioclavicular joint dislocation, but further evaluation with a CT scan confirmed a coracoid fracture with minor displacement. Despite the concurrent dislocation, we opted for conservative treatment, and the fracture had completely healed after six weeks of physical therapy. The use of specific shoulder X-ray views, such as the scapula Y or axillary view is recommended to rule out coracoid fractures, while CT scans are considered the gold standard for diagnosis. Treatment options for coracoid fractures may range from non-operative management to surgical repair, depending on the type of fracture. Our case report highlights a rare occurrence of a coracoid process fracture with acromioclavicular joint dislocation treated conservatively.

The Self-Catalyzed Growth of GaAsSb Nanowires on a Si (111) Substrate Using Molecular-Beam Epitaxy

GaAsSb semiconductor material, a ternary alloy, has long been recognized as a crucial semiconductor in the near infrared range due to its ability to finely adjust the wavelength through controlling the Sb component. In this work, we report on the pattern of orientation variation in self-catalyzed grown GaAsSb nanowires (NWs). Utilizing solid-source molecular-beam epitaxy (MBE), self-catalyzed GaAs and GaAsSb nanowires (NWs) were grown on Si (111) substrates. The influence of various Sb components on the growth direction of the nanowires in the ternary GaAsSb alloy was examined using scanning electron microscopy (SEM). The inclusion of Sb components was discovered to alter the growth direction of the nanowires, transitioning them from a vertical and inclined orientation to a configuration that encompassed vertical, inclined, and parallel orientations with respect to the Si (111) substrate. As the Sb component in GaAsSb increased, there was an increased likelihood of the nanowires growing parallel to the surface of the Si (111) substrate. A combination of X-ray diffraction (XRD) and Raman spectroscopy validated the presence of Sb components and indicated a high crystalline quality. Additionally, XRD confirmed that the Sb components aligned with the intended structure. These findings establish a solid material foundation for the development of high-performance GaAsSb-based devices.