Placement Selection Research Articles

Selecting and ranking female candidates under PR: Evidence from a two‐stage conjoint experiment with party elites

AbstractDoes gender affect candidate selection and list placement under proportional representation (PR)? Existing research argues that PR systems have a positive effect on women's representation due to a more inclusive candidate selection process. However, analysing the actual process of candidate selection under PR before observing the final party list is challenging, and little is known about the preferences and strategies of party elites when selecting and ranking candidates. To address this lacuna, we conduct a novel two‐stage conjoint experiment with party elites in Austria, which allows us to differentiate between two distinct mechanisms in candidate nomination under PR: selection and ranking. Our findings indicate that women generally have an advantage with respect to selection but find themselves subject to same‐sex preferences when it comes to ranking on the list, for which they otherwise benefit from being low in supply. These findings have important implications for understanding patterns of female under‐representation in PR systems.

Deep brain stimulation for Tourette's syndrome.

Tourette's syndrome is a neuropsychiatric disorder characterized by formidable motor and vocal tics. Many individuals also present with comorbid neuropsychiatric conditions. Though patients often benefit from pharmacological and behavioral therapies, a subset of individuals develop severe, treatment-resistant symptoms that might necessitate more invasive interventions, such as Deep Brain Stimulation (DBS). DBS, particularly targeting regions like the globus pallidus internus (GPi) and the centromedian-parafascicular complex (CM-Pf) of the thalamus, has demonstrated effectiveness in reducing tic severity and improving quality of life. This review outlines the mechanism, clinical efficacy, and long-term outcome of DBS in TS. Results from clinical studies reveal significant reductions in tics. However, success with DBS is variable depending on a number of factors, including target selection and electrode placement. The use of DBS has ethical considerations, which include risks to the surgical procedure, the need for full and complete informed consent, and questions about the implications of such treatment on cognitive and emotional growth. Long-term follow-up will be required to ensure appropriate patient outcomes and complication management. Additional research and ethical debate will be needed with advancing DBS technology to ensure responsible and equitable treatment. This paper narratively summarizes the surgical options available for TS, with a focus on the current status of DBS in the management of the disease.

A comparison of occupancy-sensing and energy-saving performance: CO2 sensors versus fisheye cameras

A number of occupancy-sensing methods have been proposed to date with the goal of saving HVAC energy in commercial spaces by means of demand-controlled ventilation. Currently, CO2 measurement is the most common approach deployed in practice. However, recently a number of other approaches have been proposed, such as using surveillance cameras, depth sensors, thermal imagers, etc. In this paper, we compare the occupancy-sensing performance of high-accuracy commercial CO2 sensors and overhead fisheye cameras supported by deep-learning algorithms. Our experiments are conducted over 3 days in a large university classroom with highly-dynamic occupancy. First, we assess the impact of parameter selection and sensor placement on CO2-to-occupancy conversion accuracy. Then, for the best-performing setup, we compare this accuracy against that of fisheye cameras. Subsequently, we estimate the potential energy savings offered by both systems. Our results show that overhead fisheye cameras produce on average a 20% lower occupancy-estimation error than CO2 sensors in steady-state periods, and almost 70% lower error in transient periods across 4 performance metrics used in this work. In terms of potential energy savings, fisheye cameras offer on average 6 percentage points of additional savings compared to CO2 sensors. Given their relatively low cost and implementation simplicity, CO2 sensors are an attractive approach to saving HVAC energy, however their occupancy-estimation accuracy is highly sensitive to parameter selection that is challenging in practice. Occupancy sensing based on fisheye cameras is not subject to similar parameterization sensitivity and in addition to outperforming CO2 sensors allows precise localization of occupants in a space thus potentially enabling additional space-management and safety/security services, that CO2 sensors cannot offer.

Examining Clinical Practice and Short-Term Results in Ventral Hernia Repair

Background and Objectives: This prospective observational study conducted at Parul Sevashram Hospital, Vadodara aimed to examine the diversity in surgical techniques used for primary and incisional ventral hernia repair (VHR). Methods: Twenty-five elective VHR patients treated from January 1, 2023, to March 31, 2023, were enrolled. Patients were monitored for 90 days post-surgery. Exclusion criteria included patients under 18 years old and those undergoing emergency surgeries. The primary objective was to compare surgical approaches between primary and incisional hernia repairs. Secondary objectives focused on intraoperative procedures such as mesh selection, fixation techniques, and drain placement, as well as evaluating postoperative outcomes at 3 months, including infection rates, surgical site issues, mortality, and readmission rates within 90 days. Results: Data from 25 patients were analysed: 14 (58%) had primary hernias (PH) and 11 (42%) had incisional hernias (IH), including 1 (9.09%) recurrent case. – PH Group: Procedures included 6 (42.85%) open Onlay, 4 (28.57%) open Sublay, 1 (7.14%) intraperitoneal Onlay meshplasty (IPOM), and 3 (21.42%) suture repairs. Complications: 7% seroma, 0% surgical site infection (SSI), 0% recurrence. – IH Group: Procedures included 7 (63.63%) open Onlay, 3 (27.3%) open Sublay, and 1 (9.09%) suture repair. Complications: 9% seroma, 9% hematoma, 0% SSI, 9% wound sinus, 0% recurrence. Conclusion: Onlay meshplasty emerged as the predominant procedure for both primary and incisional hernias. However, open Sublay repair showed promising results with fewer seroma-related complications. Standardizing guidelines could optimize outcomes in VHR.

Analisis Faktor-faktor yang Mempengaruhi Proses Rekrutmen dan Seleksi

Effective Human Resources (HR) management is the key to the success of every company in achieving its strategic goals. In this context, recruitment, selection and placement of employees plays an important role as the first process that determines the quality and performance of a company's workforce. This study covers recruitment, selection, factors influencing selection, as well as the recruitment and selection process. The data collected is analyzed comprehensively to identify patterns, trends, and relationships between the recruitment and selection process, its factors, and placement in organizational performance. The results of this study are intended to provide valuable insights for human resource managers. The practical implications of this research will lead to the development of selection factors, more accurate recruitment and selection processes, and more targeted staff placement, which will ultimately improve overall organizational performance.

Revealing the dynamics of saffron growth: Optimizing corm size and planting depth for increased yield synergies.

Saffron, the "golden spice" derived from Crocus sativus L., is renowned for its richness in secondary metabolites such as crocin and safranal, contributing to its unique properties. Facing challenges like decreasing global production, optimizing cultivation techniques becomes imperative for enhanced yields. Although the impact of factors like planting density, planting depth, spacing, and corm size on saffron growth has been studied, the interaction between corm size and planting depth remains underexplored. This study systematically investigates the interactive effects of corm size and planting depth on saffron growth and yield, providing evidence-based guidelines for optimizing cultivation. A factorial experiment, employing a completely randomized design, was conducted to assess the influence of corm size (05-10g, 10.1-15g, 15.1-20g) and planting depth (10cm, 15cm, 20cm) on saffron yield. Uniform-sized corms were obtained, and a suitable soil mixture was prepared for cultivation. Morphological and agronomic parameters were measured, and statistical analyses were performed using ANOVA and Tukey's HSD test. The study revealed that planting depth significantly affected saffron emergence. The corms sown under 15cm depth showed 100% emergence regardless of corm size (either 05-10g, 10.1-15g, 15.1-20g) followed by 10cm depth corms. Corm dry weight exhibited a complex interaction, where larger corms benefited from deeper planting, while intermediate-sized corms thrived at shallower depths. Similar patterns were observed in shoot fresh weight and dry weight. Specifically, the largest corm size (t3, 15.1-20g) produced the greatest fresh-weight biomass at the deepest planting depth of 20cm (T3), while intermediate-sized corms (t2, 10.1-15g) were superior at the shallowest 10cm depth (T1). The total plant biomass demonstrated that larger corms excelled in deeper planting, while intermediate-sized corms were optimal at moderate depths. This research highlights the intricate interplay between corm size and planting depth in influencing saffron growth. Larger corms generally promote higher biomass, but the interaction with planting depth is crucial. Understanding these dynamics can aid farmers in tailoring cultivation practices for optimal saffron yields. The study emphasizes the need for a coordinated approach to corm selection and depth placement, providing valuable insights for sustainable saffron production and economic growth.

Multi-observation points setting problem based on stepwise maximum viewshed approach

Terrain visibility analysis is vital in geospatial research, employing computer geometry and graphics principles for computing and visualizing visibility between observation and target points. The observation point setup problem is crucial for tasks like sentry point selection and signal base station placement. This problem involves choosing the minimum viewpoints on terrain for optimal joint view coverage, presenting a combinatorial optimization challenge. As technology advances, data can be acquired with increasing precision, the number of viewpoints that can be extracted from the same area is gradually increasing as well, obtaining candidate viewpoints and determining optimal combinations become challenging. This paper proposes a novel method, Stepwise Maximum Viewshed (SMV), addressing observation point setup by stepwise filtering the maximum viewshed and can customize the size of the observation point combination. In complex mountainous terrain, the SMV algorithm demonstrates superior joint view coverage compared to Candidate Viewpoints Filtering (CVF) and Simulated Annealing (SA) algorithms. Experimental results reveal up to 5.59% improvement over CVF and a maximum of 12.52% over SA in joint viewshed coverage.

Double Deep Q-Learning-Based Path Selection and Service Placement for Latency-Sensitive Beyond 5G Applications

Double Deep Q-Learning-Based Path Selection and Service Placement for Latency-Sensitive Beyond 5G Applications

Objective estimation of m-CTSIB balance test scores using wearable sensors and machine learning.

Accurate balance assessment is important in healthcare for identifying and managing conditions affecting stability and coordination. It plays a key role in preventing falls, understanding movement disorders, and designing appropriate therapeutic interventions across various age groups and medical conditions. However, traditional balance assessment methods often suffer from subjectivity, lack of comprehensive balance assessments and remote assessment capabilities, and reliance on specialized equipment and expert analysis. In response to these challenges, our study introduces an innovative approach for estimating scores on the Modified Clinical Test of Sensory Interaction on Balance (m-CTSIB). Utilizing wearable sensors and advanced machine learning algorithms, we offer an objective, accessible, and efficient method for balance assessment. We collected comprehensive movement data from 34 participants under four different sensory conditions using an array of inertial measurement unit (IMU) sensors coupled with a specialized system to evaluate ground truth m-CTSIB balance scores for our analysis. This data was then preprocessed, and an extensive array of features was extracted for analysis. To estimate the m-CTSIB scores, we applied Multiple Linear Regression (MLR), Support Vector Regression (SVR), and XGBOOST algorithms. Our subject-wise Leave-One-Out and 5-Fold cross-validation analysis demonstrated high accuracy and a strong correlation with ground truth balance scores, validating the effectiveness and reliability of our approach. Key insights were gained regarding the significance of specific movements, feature selection, and sensor placement in balance estimation. Notably, the XGBOOST model, utilizing the lumbar sensor data, achieved outstanding results in both methods, with Leave-One-Out cross-validation showing a correlation of 0.96 and a Mean Absolute Error (MAE) of 0.23 and 5-fold cross-validation showing comparable results with a correlation of 0.92 and an MAE of 0.23, confirming the model's consistent performance. This finding underlines the potential of our method to revolutionize balance assessment practices, particularly in settings where traditional methods are impractical or inaccessible.

THE INFLUENCE OF SELECTION AND JOB PLACEMENT ON EMPLOYEE PRODUCTIVITY AT THE STATE ASSETS AND AUCTION OFFICE IN MAKASSAR

This research is a quantitative descriptive study aiming to understand and analyze the impact of selection and job placement on employee productivity at the State Assets and Auction Office in Makassar. The data collecting methods used in this research include observation, questionnaires, and documentation. The population and sample used in this research consist of 40 respondents. The research result through statistical calculations using the Statistical Package for the Social Science (SPSS) version 27 regarding the influence of selection and job placement on employee productivity at assets and auction office in Makassar which was discussed in the previous chapters, the author draws the important conclusion that selection and job placement have a positive and significant on employee productivity. The result obtained for the selection variable (X1) against employee productivity (Y) show with a significance value of X1 against Y being 0.039, which is less than the value of alpha, that is 0.05 (0.039 < 0.05) and job placement variable (X2) against employee productivity (Y) show a significance value of X2 against Y being 0.009, which is also less than the value of alpha, that is 0.05 (0.009 < 0.05).

The Influence of Selection and Assignment Placement on the Quality of Human Resources in the Education Sector

Human Resources (HR) in an educational institution has an important role. The success of an educational institution is determined by several supporting factors, one of which is important is the role of human resources. Human resources in an educational institution are teachers and education staff. If the teachers and education staff are qualified, the institution can provide good educational services to its consumers, namely students and their parents. The quality of human resources can be in the form of the recruitment, selection, and job placement processes. Appropriate and appropriate placement will have an impact on work optimization and performance. In fact, employee creativity and initiative will develop and institutional activities can be carried out efficiently and effectively.

The Influence of Selection, Talent Management, and Employee Placement on Employee Performance and Its Impact on the Performance of Pt Pupuk Iskandar Muda Aceh

This research examines the role of employee performance in mediating the selection, talent management, and placement influence on the performance of PT Pupuk Iskandar Muda Aceh. This research has the same population and sample size, namely 305 because it uses proportionate stratified random sampling techniques and is analyzed through SEM AMOS. The research results prove that selection, talent management, placement, employee performance, and organizational performance have gone well; selection, talent management, and placement have a significant influence and positive function on increasing employee and company performance; and employee performance has a positive and significant influence on PT Pupuk Iskandar Muda Aceh's performance. Employee performance is significant and has a positive function in mediating the position of talent selection and management, as well as placement, and its mediating influence is partial.

Energy or Accuracy? Near-Optimal User Selection and Aggregator Placement for Federated Learning in MEC

To unveil the hidden value in the datasets of user equipments (UEs) while preserving user privacy, federated learning (FL) is emerging as a promising technique to train a machine learning model using the datasets of UEs locally without uploading the datasets to a central location. Customers require to train machine learning models based on different datasets of UEs, through issuing FL requests that are implemented by FL services in a mobile edge computing (MEC) network. A key challenge of enabling FL in MEC networks is how to minimize the energy consumption of implementing FL requests while guaranteeing the accuracy of machine learning models, given that the availabilities of UEs usually are uncertain. In this paper, we investigate the problem of energy minimization for FL in an MEC network with uncertain availabilities of UEs. We first consider the energy minimization problem for a single FL request in an MEC network. We then propose a novel optimization framework for the problem with a single FL request, which consists of (1) an online learning algorithm with a bounded regret for the UE selection, by considering various contexts (side information) that influence energy consumption; and (2) an approximation algorithm with an approximation ratio for the aggregator placement for a single FL request. We thirdly deal with the problem with multiple FL requests, for which we devise an online learning algorithm with a bounded regret. We finally evaluate the performance of the proposed algorithms by extensive experiments. Experimental results show that the proposed algorithms outperform their counterparts by reducing at least 13% of the total energy consumption while achieving the same accuracy.

Current trends in placing posterior composite restorations: Perspectives from Palestinian general dentists: A questionnair study.

The success of composite restorations relies on material selection and practitioner-related factors that shape the overall outcome. This study explores the practices of Palestinian general dental practitioners in placing posterior composites, examining the impact of work sector, experience, and gender on their choices. The study was conducted as an online cross-sectional questionnaire and involved 351 participants, with a response rate of 69.8%. The survey comprised 18 closed-ended questions covering demographics, material selection, and composite placement in special cases, techniques, and factors influencing the choices. Statistical analyses included descriptive statistics, chi-squared tests, and Fisher's exact tests. Composite was the predominant choice for small-size (83.7%) and large-size posterior cavities (60.4%). Practitioners commonly opted for composite restorations in cases involving occlusal parafunctional activity (60%), poor oral hygiene (78%), and subgingival cavities (72.2%). Only 19.6% and 5.3% reported occlusal and gingival beveling, respectively. Rubber dams for isolation stood at 30%, one-step self-etch adhesives at 44.9%, and the oblique layering technique at 51%. Light-emitting diode curing units were popular (97.55%), but monitoring output with a radiometer was infrequent (93.5%). Tofflemire metal matrix usage was 46.1%, whereas a sectional matrix system was employed by 29.8%. A 2 mm layer exposure to light curing for 20 s was reported by 62%, and 27.75% utilized additional light-curing postmatrix band removal. The study highlights the need for Palestinian dental professionals to update their clinical approaches in placing composite restorations in posterior teeth. Gender, work sector, and experience influence practitioners' choices, emphasizing the importance of tailored continuing education programs for improving clinical practices.

Lateral Ankle Ligaments: An Insight Into Their Functional Anatomy, Variations, and Surgical Importance.

Ankle sprains are prevalent injuries leading to functional impairment. The lateral ankle ligament complex (LLC), comprising the anterior talofibular ligament (ATFL), posterior talofibular ligament (PTFL), and calcaneofibular ligament (CFL), is weak and prone to injury. The morphometric data of these ligaments are essential for orthopedic practices, including techniques like direct repair or ATFL reconstruction with autograft/allograft, which are limited in the literature. The present study aims to document the anatomy and morphometry of the LLC. Fifteen adult Indian-origin embalmed cadavers were selected for the study. Ankles with antemortem or postmortem injuries or previous surgical interventions were excluded from the study. After precise dissection of the ankle's anterior and lateral aspects as per Cunningham's dissection manual, ligaments were exposed. Length and width were measured using a digital vernier caliper. Morphological attributes such as shape, orientation, and inter-fiber angles were documented. The most common shape in ATFL was a single band (53.33%). Inner ATFL fibers merged with the ankle joint capsule in 73.33%. ATFL mean length and width were 14 ± 2.4 mm and 7.6 ± 2.0 mm. The angle between the fibula's long axis and ATFL fibers was 107 ± 22°, and the angle between tibiotalar joint lines and parallel ATFL fibers was 30 ± 9.5°. A single band of CFL was predominant (73.33%). The mean length and width ofCFL were 18.4 ± 3.9 mm and 5.2 ± 1.3 mm; the angle between the anterior fibula border's long axes and parallel CFL line was 131°. PTFL length was 20.9 ± 3.3 mm and width was 6.2 ± 1.4 mm. The mean length and width of the anterior inferior talofibular ligament (AiTFL) were 11.7 ± 2.6 mm and 9.5 ± 1.6 mm, and of the posterior inferior talofibular ligament (PiTFL) were 12.8 ± 2.1 mm and 10.4 ± 2 mm. Comprehensive knowledge of these ligaments' anatomy and relationships is vital for clinical examination and ultrasonography. Understanding LLCdetails aids radiologists and orthopedic surgeons in graft selection, sizing, and precise anatomical structure placement during surgical reconstruction.

Psychophysiological components of the activities of operators of nuclear power plants as a factor of accidents in the conditions of the threat of social catastrophe

The purpose of the study is to establish the peculiarities of operator’s work and the leading factors of the formation of its psychophysiological tension at nuclear power plants in the conditions of the threat of social catastrophe in connection with military operations. The study was conducted at the Zaporizhzhya and Khmelnytsky nuclear power plants for the period of 2020-2021. To study the dynamics of the psychophysiological state of operators of nuclear power plants, a verbal-communicative diagnostic method was used to collect information about the operators investigated using Google Form and traditional physiological, psychological and psychophysiological methods. The socio-demographic features of the investigated operators of the block control panel were analyzed. It was established that men only (100%) aged 24-49 and with work experience from 4 to 20 years were among the examined. All surveyed operators (41 people) are residents of the city, with completed higher education and are family members. The methods of psychological (reactive anxiety, mood, activity, mood, attention), physiological (cardiography, blood pressure) and psychophysiological (simple sensorimotor and psychophysical) research methods were used to empirically assess the intensity of activity of the operators of the block control panel of nuclear power plants. There were examined operators, while on duty when control errors and pre-accident situations were recorded. It was established that the psychological, physiological and psychophysiological characteristics of these operators are followed by increased reactive anxiety, decreased indicators of well-being, activity, mood, reduction in functional reserves of the cardiorespiratory system, mental and physical capacity. These indicators are considered as criteria for the development of regulatory measures. It is proposed to take into account not only technological factors, but also the psychophysiological features of operators in the dynamics of their manifestation when developing measures for the optimal selection and personnel placement. The complex of methods for researching the functional state of operators can be used to optimize their professional selection and retraining, which can lead to reducing accidents and costs for professional training. The expected effect is an increase in the efficiency and quality of operator’s activity, the productivity and reliability of the performance of production tasks, an increase in professional longevity, a decrease in rate and occupationally-related morbidity of these specialists.

Aptis Distal Radioulnar Joint Arthroplasty: A Multicenter Evaluation of Functional Outcomes, Complications, and Patient Satisfaction.

Background The Aptis distal radioulnar joint (DRUJ) implant has been commonly used to replace the DRUJ and restore wrist function in patients with a severely destroyed DRUJ. Objective Promising results have been described in the literature. However, the clinical results in a multicenter setting are sparse and variable. This study evaluates the short- to midterm clinical results of 53 patients with a (mean) follow-up of 51 months. Patients and Methods Fifty-three patients (59 implants) treated between 2011 and 2020 in three different institutions were retrospectively identified in a prospectively collected database. The main indication for Aptis DRUJ arthroplasty was a destroyed DRUJ and gross distal radioulnar instability and isolated DRUJ osteoarthritis. Functional outcome, complications, and patient satisfaction were evaluated. Patients completed the Patient-Rated Wrist Evaluation (PRWE) questionnaire and an additional questionnaire about patient satisfaction and return to hobby/work. Results Implant survival was 92%, the surgical follow-up showed many complications (64,4%), and revision surgery was needed frequently (40.7%). In 13 cases, the follow-up was longer than 5 years. Three reimplantations had to be performed and two implants were permanently explanted. In spite of this all, wrist and forearm motion as well as pain reduction was adequate and patient satisfaction was reasonable (72.2%). Conclusion The Aptis DRUJ arthroplasty is a viable option that can provide adequate wrist and forearm function after secure patient selection and surgical placement of the implant in the wrist with a good bone stock of the radius. The complication rate was found to be high, yet patient satisfaction was reasonable. In the case of secondary surgery, additional surgery seems to be needed. For primary surgery, the implant seems to be successful without complications. Different complications have been described, but further analysis is warranted to find the causes of complications and to objectify the performance of the Aptis DRUJ implant. Level of Evidence IV.

Pengaruh Rekrutmen, Seleksi, dan Penempatan Kerja terhadap Produktivitas Kerja pada PT Fast Food Indonesia KFC Cabang Kemang

Work Productivity is one aspect that plays an important role in the development of a company or organization. In this study, its aims to test the influence between work productivity and recruitment, selection, work placement on employees of PT. XYZ. In this study, used questionnaires to collect data. The sample in this study was 69 employees. The sampling technique in this study used a Nonprobability Sampling method with the saturation sampling. The data analysis method used is multiple linear regression. The analytical data used in this study used classical assumption tests, normality tests, model tests, and hypothesis tests. The results of the analysis in this study indicate that recruitment, selection, and work placement have an influence on work productivity. So that PT. XYZ needs to pay attention to the level of recruitment, selection, and work placement as an effort to improve work productivity.

Experimental investigation of the seabed topography effects on tidal stream turbine behavior and wake characteristics

Physical modelling was performed to study the hydrodynamics and wake interferences of a tidal stream turbine sited in close proximity to different seabed elements. The seabed topography variation had a significant effect on the tidal stream turbine behavior. The average power output of the turbine with the presence of the small seabed topography increased by about 11%, while the power output of the turbine sited in close proximity to the larger seabed topography was reduced by approximately 40% compared to that with a flat bed. Additionally, detailed flow field measurements of the turbine wake revealed the seabed topography variation effects on the wake characteristics. The small seabed topography increased the average turbulence intensity in the near wake region behind the turbine and made the flow velocity recovery slightly faster than the case with flat bed. In contrast to the small seabed topography, the larger topography had a certain inhibitory effect on wake recovery. The results presented in the current study not only offer a validation database for wake models but can also be used to optimize the site selection and rotor placement of tidal turbines for a higher power yield.

A MILP Model for Optimal Conductor Selection and Capacitor Banks Placement in Primary Distribution Systems

Power distribution systems (PDS) are the infrastructure and equipment used to distribute electricity from the transmission system to end-users, such as homes and businesses. PDS are usually designed to operate in a radial mode, where power flows from one substation to the end user through a series of feeders. The extension of distribution lines to attend new customers along with the growing demand for electricity result in increased energy losses and voltage reductions. Various solutions have been proposed to solve these issues, such as selecting the optimal set of conductors, optimizing the placement of voltage regulators, using capacitor banks, reconfiguring the distribution system, and implementing distributed generation. A well-known approach for reducing energy losses and enhancing voltage profile is the optimal conductor selection (OCS). While this can be beneficial, it may not be sufficient to fully reduce technical losses and improve the system voltage profile; therefore, it must be combined with other strategies. This paper presents a new approach that combines the OCS with the optimal placement of capacitor banks (OPCB) to minimize technical losses and improve the voltage profile in PDS. The main contribution of this paper is the integration of these two problems into a single mixed integer linear programming (MILP) model, therefore guaranteeing the achievement of globally optimal solutions. Three test systems of 27, 69, and 85 buses were used to illustrate the effectiveness of the proposed modeling approach. The results indicate that the combination of OCS and OPCB effectively minimizes energy losses and enhances the voltage profile. In all cases, the solutions obtained by the proposed MILP approach were better than those previously reported through metaheuristics for the combined OCS and OPCB problem.