Detailed Plan Research Articles

Minimizing charging task time of WRSN assisted with multiple MUVs and laser-charged UAVs

This paper investigates the framework of wireless rechargeable sensor network (WRSN) assisted by multiple mobile unmanned vehicles (MUVs) and laser-charged unmanned aerial vehicles (UAVs). On the basis of framework, we cooperatively investigate the trajectory optimization of multi-UAVs and multi-MUVs for charging WRSN (TOUM) problem, whose goal aims at designing the optimal travel plan of UAVs and MUVs cooperatively to charge WRSN such that the remaining energy of each sensor in WRSN is greater than or equal to the threshold and the time consumption of UAV that takes the most time of all UAVs is minimized. The TOUM problem is proved NP-hard. To solve the TOUM problem, we first investigate the multiple UAVs-based TSP (MUTSP) problem to balance the charging tasks assigned to every UAV. Then, based on the MUTSP problem, we propose the TOUM algorithm (TOUMA) to design the detailed travel plan of UAVs and MUVs. We also present an algorithm named TOUM-DQN to make intelligent decisions about the travel plan of UAVs and MUVs by extracting valuable information from the network. The effectiveness of proposed algorithms are verified through extensive simulation experiments. The results demonstrate that the TOUMA algorithm outperforms the solar charging method, the base station charging method, and the TOUM-DQN algorithm in terms of time efficiency. Simultaneously, the experimental results show that the execution time of TOUM-DQN algorithm is significantly lower than TOUMA algorithm.

Management of Rotator Cuff Tears in Severely Osteoporotic Patients

Management of rotator cuff tears (RCT) in osteoporotic patients presents significant challenges for treating clinicians because of compromised bone quality. We present a case series of 2 patients with RCT and severe osteoporosis highlighting the complexities of operative and nonoperative management and underscoring the importance of preoperative optimization and careful surgical planning in this vulnerable population. Patient 1 experienced initial improvement postarthroscopic RCT repair but required revision surgery because of anchor pullout, with eventual conversion to reverse total shoulder arthroplasty. Patient 2 faced intraoperative challenges because of previously undiagnosed osteoporosis, leading to difficulties in securely placing suture anchors, and was referred to the fracture liaison service (FLS) for osteoporosis management postoperatively. A multifaceted approach integrating preoperative optimization, advanced surgical techniques, and postoperative management is advised to improve operative success. Extensive perioperative bone quality assessments and augmentation strategies are warranted, including medication comanagement through an FLS if available. Detailed surgical planning is crucial, focusing on arthroscopic repair technique while considering various anchor factors to mitigate failure including proper placement, design, and pullout analysis. Intraoperative bone augmentation with materials such as calcium phosphate, magnesium phosphate, and polymethyl methacrylate cements significantly improves anchor fixation strength in osteoporotic bone. Consideration of a transosseous approach and potential for conversion to an open procedure is also an option when necessary. This review highlights the unique challenges and potential options available to treating clinicians when managing RCT in osteoporotic patients. Continued research and refinement of emerging treatment strategies are essential to improve outcomes and quality of life in this patient population.

Hyper-realistic rendering-assisted laparoscopic adrenalectomy for giant adrenal tumors: a pilot study.

This study aimed to explore the application value of hyperrealistic rendering (HRR) in laparoscopic giant adrenal tumor resection. We retrospectively analyzed 25 patients with giant adrenal tumors from January 2021 to January 2024, with a median age of 56 (40.5, 58.5) years and a tumor median diameter of 7.20 (6.80, 8.50) cm. All patients underwent preoperative medical HRR based on enhanced computed tomography, followed by laparoscopic adrenal tumor resection. HRR was used to initially determine the nature of the tumor and develop a detailed surgical plan, which was completed in 25 patients preoperatively. All 24 cases of tumors were located in the adrenal gland, 1 case was located in the retroperitoneum, and 13 and 12 cases were on the left and right side, respectively. Preoperative HRR 3D imaging was consistent with the intraoperative situation, and 25 cases had successful surgeries. The median operation time was 165 (120.0, 250.0) min, and median bleeding and blood transfusion volume were 200 (150.0, 450.0) and 200.0 (150.0, 450.0) mL, respectively. There were no collateral injuries to important organs and major vessels and no cases of conversion to open surgery. For large retroperitoneal adrenal tumors, HRR for three-dimensional (3D) reconstruction imaging enables the operator to fully understand the relationship between the tumor and surrounding organs and blood vessels preoperatively, which can reduce intraoperative bleeding and collateral injuries, improve the success rate of laparoscopic resection, and safety of the operation.

Ruptured Peripheral Cerebral Aneurysms Associated With Moyamoya Disease: A Systematic Review.

A ruptured peripheral cerebral aneurysm (PPCA) associated with moyamoya disease (MMD) is a rare but potentially life-threatening condition with controversial management strategies. We aim to summarize the clinical characteristics, treatment strategies, and prognostic factors of PPCAs in MMD. We reviewed studies published in PubMed between 1980 and 2023 and used logistic regression analysis to identify the risk factors for adverse outcomes. Of 425 identified studies, 48 eligible studies involving 121 participants were included in the current study. The mean age at diagnosis was 40.8±15.1 years, with a peak age of onset between 41 and 50 years. Among the identified participants, 59.6% were female, and 55.9% presented with impaired consciousness. Aneurysms were present in the posterior (35.5%) or anterior (30.6%) choroidal arteries in 66.1% of the cases, and 71.1% of the patients presented with intraventricular hemorrhage (IVH) with or without intracerebral hematoma (ICH). The treatment strategies were embolization (28.9%), direct surgery (21.5%), revascularization (22.3%), and conservation (27.3%). Favorable outcomes were achieved in 86.8% of all cases, with 97.1% for embolization, 65.4% for direct surgery, 96.3% for revascularization, and 84.8% for conservative treatment. Aneurysm rebleeding occurred in 11 (26.8%) of 41 patients managed conservatively, leading to worse outcomes in 7 patients (63.6%). Impaired consciousness (odds ratio [OR], 8.61; 95% confidence interval [CI], 2.06-36.00) and aneurysm rebleeding (OR, 16.54; 95% CI, 3.08-88.90) independently predicted poor outcomes. PPCA should be considered in patients with hemorrhagic MMD, particularly those with IVH with or without ICH. Endovascular and bypass treatments are recommended as first-line options, with direct open surgery as an alternative in urgent hematoma evacuation cases. Detailed preoperative planning and intraoperative technical assistance are necessary to reduce procedure-related complications. Conservative management should be selected with caution because of the high risk of rebleeding and poor outcomes. Impaired consciousness and aneurysm rebleeding appeared to be independent risk factors for adverse prognoses. We emphasize that treatment selection should be personalized, and the potential benefits should be weighed against the associated risks.

Implementing a Pilot Geriatric Oncology Service at a National Cancer Centre in Dublin

Abstract Background The American Society of Clinical Oncology and International Society of Geriatric Oncology recommend comprehensive geriatric assessment (CGA) for older adults commencing systemic anti-cancer treatments (SACTs) (1, 2). Routine CGA is lacking in cancer centres nationally. Methods A pilot, interdisciplinary geriatric-oncology (GO) clinic comprising a geriatric medicine consultant and specialist registrar, medical oncology fellow, physiotherapist and occupational therapist was established Dec 2023. New oncology patient referrals were screened applying the G8 tool; a score of ≤14 triggering referral. Polypharmacy was defined as ≥5 regular medications. Frailty was assessed using Clinical Frailty Scale (CFS) and cognition using Montreal Cognitive Assessment (MoCA). Results To date, 30 patients have attended the clinic; mean age 77.2 (SD5) years (range 68-85); 73% female, 50% with a CFS score of ≥4. Sixty-percent (n=18) were due to commence chemotherapy, the remainder hormonal or targeted treatment. Polypharmacy was identified in 66.6% (n=20), with 13.3% (n=4) having an anti-cholinergic burden score of ≥3, MoCAs were completed in 60% (n=18), of whom 77.8% (n=14) had an abnormal result (<26/30 MoCA or <18/22 MoCA blind). Twenty-six percent (n=8) reported ≥1 fall in the preceding six-months. Deprescribing interventions were completed in 40% (n=12); 58.3% (n=7) had ≥2 medications stopped. Medications most commonly deprescribed included opioids (n=2), antihypertensives (n=2), statins (n=2). Ambulatory blood pressure monitors were arranged for 33.3% (n=10) and DEXAs for 40% (n=12) and appropriately actioned. Follow up was arranged in the Falls and Syncope Unit for 7%, day hospital 10%, geriatric outpatients 10%, group psycho-oncology sessions 20%, specialist cancer rehabilitation physiotherapy service 17%. Parkinsons disease and dementia were diagnosed in 1 and 1 patients, respectively. Each patient had a detailed assessment and plan forwarded to their treating oncologist. Conclusion The development of a dedicated GO service is in line with international standards. By undergoing CGA, geriatric syndromes amenable to intervention were identified in patients.

Pengelolaan Pembiayaan Pendidikan di Sekolah Menengah Pertama Swasta

This study aims to explore the management of educational financing at SMP Islam Bakti Asih, where efficient financial management is key to achieving educational goals. The research is motivated by the financial challenges faced by private schools due to limited resources, affecting the quality of education and the welfare of teaching staff. Using a qualitative phenomenological approach, data were collected through observations, in-depth interviews, and documentation on budget planning, fund utilization, and financial oversight. The key findings indicate that the primary sources of funding come from the foundation and government (BOS) funds, which are utilized through detailed budget planning and regular financial audits to ensure transparency and accountability. The implications of these findings highlight the importance of comprehensive and proactive financial management, not only to maintain the school's financial stability but also to enhance the quality of education provided. This study contributes to the literature on educational financial management by providing insights into best practices for managing funds in private schools. Additionally, the limitations of this study include its narrow focus on a single school and the limited number of respondents, which opens opportunities for further research in broader contexts.

Applying vision-guided graph neural networks for adaptive task planning in dynamic human robot collaborative scenarios

ABSTRACT The Assemble-To-Order (ATO) strategy is increasingly becoming prevalent in the manufacturing sector due to the high demand for high-volume personalised and customised goods. The use of Human-Robot Collaborative (HRC) Systems are increasingly being investigated in order to make use of the dexterous strength of human hands while at the same time make use of the ability of robots to carry massive loads. However, current HRC systems struggle to adapt dynamically to varying human actions and cluttered workspaces. In this paper, we propose a novel neural network framework that integrates both Graph Neural Network (GNN) and Long Short-Term Memory (LSTM) for adaptive response during HRC scenarios. Our framework enables a robot to interpret human actions and generate detailed action plans while dealing with objects in a cluttered workspace thereby addressing the challenges of dynamic human-robot collaboration. Experimental results demonstrate improvements in assembly efficiency and flexibility, making our approach the first integration of iterative grasping and flexible HRC within a unified neural network architecture.

Research on Indoor Automatic Path Planning Algorithm for Robots

The field of robotics has significantly advanced, especially in indoor autonomous navigation, with applications in households, offices, factories, and tourism. This research focuses on developing and optimizing algorithms for indoor autonomous path planning, aiming to enhance robots' ability to navigate efficiently and safely in various indoor environments. The research adopts a comprehensive methodological approach, beginning with a literature review to understand current state-of-the-art techniques in path planning and obstacle avoidance. Novel algorithms were designed and implemented, focusing on efficiency and real-time performance. These algorithms were tested in simulation environments and validated on actual robotic platforms. Performance metrics such as path efficiency, computational time, and obstacle avoidance success rates were used to assess the algorithms. The study evaluated global path planning algorithms like A* and Dijkstra’s, and local path planning algorithms such as Rapidly-exploring Random Trees (RRT) and Dynamic Window Approach (DWA). A* and Dijkstra's algorithms proved effective for global planning but required optimization for real-time applications. RRT excelled in complex environments but needed improvements for path optimality. DWA provided robust real-time obstacle avoidance. Hybrid approaches combining these algorithms showed enhanced performance, balancing global and local planning strengths. Machine learning techniques further improved adaptability and efficiency. The integration of advanced sensor technologies and accurate map construction methods is crucial for effective indoor navigation. LIDAR, ultrasonic sensors, and depth cameras were key in providing precise environmental perception. Hybrid maps combining grid and topological approaches offered detailed local information and efficient long-distance planning. Optimization techniques like parameter tuning and algorithm fusion, along with machine learning, significantly enhanced algorithm performance. Future research should explore intelligent algorithms, multi-robot collaboration, and human-robot interaction to further advance the field.

The Role of Coronary Imaging in Chronic Total Occlusions: Applications and Future Possibilities.

Chronic total occlusions (CTOs) represent a challenging scenario in coronary artery disease (CAD). The prevalence of CTOS in patients undergoing coronary angiography underscores the need for effective diagnostic and therapeutic strategies. Coronary angiography, while essential, offers limited insights into lesion morphology, vessel course, and myocardial viability. In contrast, coronary imaging techniques-including optical coherence tomography (OCT), intravascular ultrasound (IVUS), and coronary computed tomography angiography (CCTA)-provide comprehensive insights for each stage of CTO percutaneous coronary intervention (PCI). OCT facilitates the assessment of plaque morphology and stent optimization, despite low evidence and several limitations in CTO-PCI. IVUS offers deeper penetration, allowing managing proximal cap scenarios and guiding subintimal navigation. CCTA provides a non-invasive, three-dimensional view of coronary anatomy, enabling the precise evaluation of myocardial mass at risk and detailed procedural planning. Despite their individual limitations, these imaging modalities have enhanced the success rates of CTO-PCI, thus reducing procedural and long-term complications and improving patient outcomes. The future of CTO management lies in further technological advancements, including hybrid imaging, artificial intelligence (AI) integration, and improved fusion imaging. These innovations promise to refine procedural precision and personalize interventions, ultimately improving the care of patients with complex coronary artery disease.

Evaluation of Settlement Distribution on Detailed Spatial Plan in Sewon District, Bantul Regency, Special Region of Yogyakarta 2018 – 2038

Settlement as a place to live is one of the main needs that need to be met for the survival of human life. The need for settlement will increase along with the increase in population. The development of settlements in Sewon District. Bantul, Indonesia which is very dynamic requires monitoring to ensure that the distribution of settlements is in accordance with the spatial pattern plan that has been determined by the local government. Imagery as a remote sensing product which is then processed with the help of GIS [HV1] can be used in monitoring the distribution of settlements because it can provide more detailed information regarding land use, including settlements. This research aims to evaluate the distribution of settlements against the detailed spatial plan (RDTR) for the Sewon Urban Area (BWP) of Bantul Regency in 2018-2038. This study uses visual interpretation techniques of SPOT-7 PMS imagery in mapping existing settlement land, field surveys, and GIS processing. The research results show that mapping settlement land using imagery produces an overall accuracy of 95.20%. The settlement evaluation shows that there is a suitability of settlement land with the detailed spatial plan reaching 579.88 hectares or 87.26%, while the settlement land that is not in accordance with the detailed spatial plan is 9.62 hectares or 1.45%, and the settlement land that is temporarily not in accordance with the detailed spatial plan is 75.05 hectares or 11.29% of the total settlement area in Sewon District. Local governments must pay more attention to existing settlements with regular monitoring so that the existing settlements that are not in accordance with the detailed spatial plan will not expand.

Divertor Tokamak Test facility project: status of design and implementation

Abstract An overview is presented of the progress since 2021 in the construction and scientific programme preparation of the Divertor Tokamak Test (DTT) facility. Licensing for building construction has been granted at the end of 2021. Licensing for Cat. A radiologic source has been also granted in 2022. The construction of the toroidal field magnet system is progressing. The prototype of the 170GHz gyrotron has been produced and it is now under test on the FALCON facility. The design of the vacuum vessel, the poloidal field coils and the civil infrastructures has been completed. The shape of the first DTT divertor has been agreed with EUROfusion to test different plasma and exhaust scenarios: single null, double null, XD divertor and negative triangularity plasmas. A detailed research plan is being elaborated with the involvement of the EUROfusion laboratories.

Developing a process for assessing the safety of a digital mental health intervention and gaining regulatory approval: a case study and academic’s guide

BackgroundThe field of digital mental health has followed an exponential growth trajectory in recent years. While the evidence base has increased significantly, its adoption within health and care services has been slowed by several challenges, including a lack of knowledge from researchers regarding how to navigate the pathway for mandatory regulatory approval. This paper details the steps that a team must take to achieve the required approvals to carry out a research study using a novel digital mental health intervention. We used a randomised controlled trial of a digital mental health intervention called STOP (Successful Treatment of Paranoia) as a worked example.MethodsThe methods section explains the two main objectives that are required to achieve regulatory approval (MHRA Notification of No Objection) and the detailed steps involved within each, as carried out for the STOP trial. First, the existing safety of digital mental health interventions must be demonstrated. This can refer to literature reviews, any feasibility/pilot safety data, and requires a risk management plan. Second, a detailed plan to further evaluate the safety of the digital mental health intervention is needed. As part of this we describe the STOP study’s development of a framework for categorising adverse events and based on this framework, a tool to collect adverse event data.ResultsWe present literature review results, safety-related feasibility study findings and the full risk management plan for STOP, which addressed 26 possible hazards, and included the 6-point scales developed to quantify the probability and severity of typical risks involved when a psychiatric population receives a digital intervention without the direct support of a therapist. We also present an Adverse Event Category Framework for Digital Therapeutic Devices and the Adverse Events Checklist—which assesses 15 different categories of adverse events—that was constructed from this and used in the STOP trial.ConclusionsThe example shared in this paper serves as a guide for academics and professionals working in the field of digital mental health. It provides insights into the safety assessment requirements of regulatory bodies when a clinical investigation of a digital mental health intervention is proposed. Methods, scales and tools that could easily be adapted for use in other similar research are presented, with the expectation that these will assist other researchers in the field seeking regulatory approval for digital mental health products.

Dynamics of Cultural Landscape on Idjen Boulevard as an Icon of Heritage Street Corridor in Malang City - Indonesia

The dynamic development of the city has brought about significant physical and environmental changes in Malang City, impacting the increasingly blurred identity of heritage areas. One such area is Idjen Boulevard, representing an icon of the heritage road corridor in Malang City. To comprehend the evolving nature of these heritage areas, it is essential to conduct studies documenting their past conditions and dynamics across various historical periods: the Colonial period, the Old Order period (the beginning of Indonesian independence), the New Order period, and the Reformation period. This comprehensive approach aims to understand the changes that occurred in each time periodization within each zone/road segment. These insights are crucial for determining future development control steps through targeted regulations. The research employs the Interpretive Historical Urban Landscape method, focusing on thirteen components that constitute the Cultural Landscape. This method involves analyzing the results of observations, both from literature and field sources, supported by tools such as CAD Mapper, Google Earth, Google Street View, GISTARU (an interactive urban spatial detail plan), and SketchUp. These tools are instrumental in obtaining findings about the hierarchy of changes in cultural landscape components and the dynamics within each zone of the specified observation unit.

Evaluation of micro-remnant niduses of arteriovenous malformations post-gamma knife radiosurgery by 3D-rotational angiography.

Recent innovations in radiological imaging have enabled the detection of micro-remnant niduses of arteriovenous malformations (AVMs) after gamma knife radiosurgery (GKS), which have not been previously perceptible. Herein, we focus on the difficulty of evaluating micro-remnant AVMs after GKS that are hardly perceptible on conventional examinations and propose integrating follow-up three-dimensional rotational angiography (3D-RA) in the previous gamma plan as a solution. We retrospectively searched NTT Medical Center Tokyo hospital database for patients with AVMs who underwent both two-dimensional digital subtraction angiography (2D-DSA) and 3D-RA as follow-up for GKS from February 2021 to January 2024. Patients with suspected nidus occlusion on the latest non-contrast-enhanced magnetic resonance angiography (NC-MRA) were included, and contrast-enhanced magnetic resonance angiography (CE-MRA), 2D-DSA, and 3D-RA were evaluated. Twelve patients with 13 AVM sites were defined as having complete nidus occlusion on upfront NC-MRA. On 2D-DSA, seven AVM sites showed the presence of slight remaining AVMs based on the detection of remnant drainage veins, however the nidus was not detected in three cases. Nevertheless, 3D-RA detected micro-remnant niduses in all seven AVM sites, and four patients underwent re-GKS. Nine patients with ten AVM sites also underwent CE-MRA, and six AVM sites were diagnosed with radiation-induced parenchymal injury. Importing the 3D-RA image into the treatment planning has the potential to be more helpful than NC-MRA or CE-MRA to detect micro-remnant AVMs and evaluate the true remnant volume, and may contribute to a more detailed treatment planning, thereby improving the results of GKS retreatment.

Income generation, guideline, SU Income Generating Guidelines for Souphanouvong University

The purpose of this research is to analyze determinants of the guideline for income generation of Souphanouvong University, by distributing a questionnaire to 215 employees, using descriptive statistics and reference statistics, using a stepwise multiple regression model The results found that the guidelines to generate income from activities are based on the budget income provided by the state in combination with the creation of short-term courses, providing policies for students, improving teaching manuals, providing external academic services, expanding cooperation, transforming into a service and research center, renting space. On the one hand, to generate revenue in terms of management are creating incentives, putting in place the management rules that are oriented, having a person in charge, the revenue management task to have a single window, and providing a clear budget to be used in each period. Allow time for staff to provide services - generate income that is not too limited, each board should have a detailed plan to generate income, provide modern teaching and learning facilities, turn existing assets into capital, invest to improve the environment of the university more and more.

Analyzing the extent and use of impervious land in rural landscapes

The amount of impervious surface is increasing rapidly worldwide. Although urban expansion has been studied extensively, the alteration of impervious land cover in rural regions remains under-examined. In particular, insights into the utilization of these sealed surfaces are crucially needed to unravel the underlying dynamics of land use changes beyond urban areas. This study focuses on rural regions from a Swiss case study and presents an analysis of the use of sealed surfaces in such regions, rather than solely quantifying the extent of sealed surfaces. Utilizing a synergistic approach that merges detailed cadastral plans with very-high-resolution remote sensing imagery and sophisticated deep learning algorithms, we characterized the uses of sealed surfaces, including buildings and their surroundings. Our findings reveal that 2.1 % of the study area’s rural regions comprises sealed surfaces - an area comparable to the sealed surfaces in the urban regions. Within these rural regions, transport infrastructure represents 68 % of this impervious surface. Buildings account for 12 %, and their surroundings, constituting 13 %, are utilized primarily for agricultural purposes, including farming and livestock activities. The deep learning approach achieved a classification accuracy of 72 % for a shallow model and 79 % for a deeper model, indicating that mapping building types is possible with reasonable accuracy. The outcomes of this study underscore the critical need to factor in the presence and utilization of impervious land cover within rural regions for the sustainable management of land resources.

Monteggia Fracture Dislocation.

Monteggia fracture is a complex fracture consisting of a proximal ulna fracture with a dislocation of the radial head. This review article highlights the relevant anatomy, clinical evaluation, classification, surgical management, recent innovation, and advancements with treating these injuries. A thorough understanding of these fractures allows for detailed operative plans and reconstitution of normal anatomy.

농촌공간 재생을 위한 통합적 농촌공간 정비계획 - 거창군 동산마을을 중심으로

The purpose of this planning study is to present a case of integrated rural space planning by solving the aesthetic and environmental problems caused by abandoned livestock farms in Dongsan Village, Geochang-eup, Geochang-gun, Gyeongsangnam-do, and establishing a spatial plan to restore the area. Dongsan Village, formed by the settlement of Hansen's disease survivors, has relied on livestock farming as a means of livelihood, but due to the designation of a water supply protection area and a livestock breeding restriction zone, it has been unable to continue livestock farming, and abandoned livestock farms have been left unattended, adversely affecting the landscape and environment. This study identified the potential and problems of the space through a current status analysis, presented basic directions and goals based on this, set the planning area through spatial configuration, and proposed a sustainable rural space plan for Dongsan Village by establishing land use plans and detailed space maintenance plans.

Generating sparse origin–destination flows on shared mobility networks using probabilistic graph neural networks

Shared mobility services, such as bike sharing, have gained immense popularity and emerged as an integral part of sustainable urban mobility solutions. The planning of such systems requires forecasting the potential origin–destination (OD) flows between mobility sites (e.g., bike sharing stations) within the proposed network. Existing methods primarily focus on mobility flows between large regions, and do not generalize well to detailed planning applications due to the high spatial resolution required, with increased uncertainty and data sparsity. This study proposes a zero-inflated negative binomial graph neural network (ZINB-GNN) to generate sparse OD flows while capturing complex spatial dependencies. To reflect sparsity, OD flows are modeled as following ZINB distributions parameterized via feed-forward networks. To capture spatial dependencies, localized graphs are constructed to represent proximity between OD pairs, with spatial features encoded using GNNs. ZINB-GNN is validated through a case study of the bike sharing system in New York City. The results verify its prowess in both prediction accuracy and uncertainty quantification under real-world network expansion scenarios. We also demonstrate its interpretability by revealing important factors affecting OD flows. These findings can directly inform the planning of bike sharing systems, and the methodology may be adapted for other shared mobility systems.

THE SUITABILITY OF ACTIVITIES IN THE TRADE SUB-ZONE (THE CORRIDOR OF LETDA SUJONO ROAD, MEDAN TEMBUNG SUB-DISTRICT, MEDAN CITY)

The development of population and infrastructure in cities can enhance the local economy, as seen in the Letda Sujono Road corridor. This area, located between Medan City and Deli Serdang Regency and near the Bandar Selamat Toll Gate, has seen significant growth in trade and service activities. This growth has spurred the development of housing, public services, commercial spaces, warehousing, and industry, increased land demand and causing potential land-use conflicts and traffic issues. Inappropriate space utilization can lead to urban sprawl, often due to inadequate spatial planning control. The Medan City Detailed Spatial Plan (DSP or Rencana Detail Tata Ruang (RDTR)) designates the Letda Sujono Road corridor as a Trade Sub-zone, with zoning regulations limiting some activities to 10% of the block area. Aims: The objective of this study was to study the suitability of existing activities with the zoning plan which has been regulated in the Medan City Detailed Spatial Plan as a space control content in order to create safe, comfortable and sustainable spatial planning. Methodology and results: This study uses a qualitative descriptive method with spatial analysis to assess the alignment of current activities with the DSP zoning plan. Conclusion, significance and impact study: The findings reveal that 60.84% of the activities are suitable, while 39.16% are not. Some blocks, particularly Block 17-07-01 (Tembung), have exceeded the 10% activity limit, indicating that zoning plans have not been fully realized, with unauthorized activities such as integrated schools and vehicle-related services still present.