Input Handling Research Articles

A global polycenter identification method with single‐source data: The integration of local multisource data recognition

AbstractWith the widespread application of multisource data, the identification of urban polycenters faces the challenge of increasing data costs. This study developed a cost‐effective model for identifying urban polycenters by employing a combination of the Random Forest algorithm and Local Moran's I index. Using point‐of‐interest data from Amap, our model was benchmarked against a multisource data model to verify its effectiveness and accuracy. The results indicate that the single‐source model possesses an accuracy comparable to that of the multisource model in determining the centrality and spatial distribution of urban centers, thus offering a substantial capability to reduce reliance on multisource data. The random forest method exhibits a significant accuracy advantage over traditional ordinary least squares regression methods. However, it also exhibited susceptibility to overfitting and variations in data sampling. This suggests that while the model is highly effective for large‐scale urban studies, it requires careful handling of data inputs. This model can be applied to actual urban planning and research, providing a useful instrument for investigating urban polycentric structures at different spatial scales. This will increase the usefulness of the model in real‐world scenarios and lower the expenses related to analyzing urban data.

COMMUNITY SATISFACTION INDEX ON HEALTH SERVICES AT PUSKESMAS KAMAL

This study aims to determine the Community Satisfaction Index (IKM) for health services at the Kamal Health Center.The research method used is a quantitative approach with a descriptive approach. This study involved 98 samples and was taken by accidental sampling. The data collection technique uses a questionnaire, which is then carried out a simple linear regression test using 9 elements as listed in the Minister of Agriculture RB Number 14 of 2017 concerning Guidelines for the Preparation of Community Satisfaction Surveys. The results of the study concluded that the Community Satisfaction Index at the Kamal Health Center had run very well, with an IKM conversion value of 84.28. However, there are still shortcomings in indicators of resolution time, handling of complaints, suggestions and inputs. Meanwhile, based on the test results, the correlation coefficient between variable X and variable Y gets a value of 0.635, which means it has a positive influence. So it can be concluded that, the services provided by officers have a positive effect on the community satisfaction index at the Kamal Health Center.

Analysis of Community Satisfaction Index on Health Service Quality: CFA and Gap Analysis

The Community Satisfaction Index is the focus of attention because it is a reference in evaluating health service policies on the quality of hospital services. Service quality is a determinant factor of patient safety to reduce the incidence of mortality in hospitals. Crossectional is the research design used. The study was conducted from April to June 2023, the population is all patients in the hospital in 2023, and Simple random side as a sampling technique of 136 research subjects. The research variables are performance, expectations, and the Community Satisfaction Index which consists of nine elements, namely requirements; systems, mechanisms, and procedures; turnaround time; cost; product specification type of service; competence of the executor; executor behavior; handling of complaints, suggestions, and inputs. Data collection using questionnaires that have previously been tested for confirmatory factor analysis. Test questionnaires and analyze research results with gap analysis using Wilcoxon in the STATA program. The test results of confirmatory factor analysis showed that RMSEA values = 0.04, CFI = 0.99, χ2 / df = 1.05, and TLI = 0.99 showed that the model met goodness-of-fit. The gap analysis shows that in the 9 elements of the Community Satisfaction Index, 2 elements are not different, namely the competence of the implementer (z = -1.570, p = 0.116) and the behavior of the implementer (z = -1.414, p = 0.157). It is hoped that the results of the research can be used as material for the evaluation of hospital policies.

STREAmS-2.0: Supersonic turbulent accelerated Navier-Stokes solver version 2.0

We present STREAmS-2.0, an updated version of the flow solver STREAmS, first introduced in Bernardini et al. (2021) [1]. STREAmS-2.0 has an object-oriented design which separates the physics equations from the specific back-end, making the code more suitable for future expansions, such as porting to novel computing architectures or implementation of additional flow physics. Similarly to the previous version, STREAmS-2.0 supports NVIDIA-GPU and CPU back-ends. Additionally, this version features improvements of the input/output data management, new energy and entropy preserving schemes for the discretization of the convective fluxes, recycling/rescaling inflow boundary condition, and a model for thermally perfect gases with variable specific heats. New version program summaryProgram Title: STREAmSCPC Library link to program files:https://doi.org/10.17632/hdcgjpzr3y.2Developer's repository link:https://github.com/STREAmS-CFD/STREAmS-2Licensing provisions: GPLv3Programming language: Fortran, CUDAJournal reference of previous version: M. Bernardini, D. Modesti, F. Salvadore, and S. Pirozzoli. STREAmS: a high-fidelity accelerated solver for direct numerical simulation of compressible turbulent flows. Comput. Phys. Commun. 263 (2021) 107906.Does the new version supersede the previous version?: Yes.Reasons for the new version: New code structure and release of new features.Summary of revisions:•The original solver [1] has been rewritten following an object-oriented design implemented through Fortran derived types that include variables and type bound procedures. The new software architecture has been designed to increase modularity and extensibility of the code, allowing users to add new back-ends and physics equations while maintaining the same code structure. This allows users to reuse portions of the code that are independent of the physics equations, the back-end, or both. The layer of computing procedures maintains a lean structure that can be highly optimized with respect to the implemented back-end.•Input handling is now based on the classic .ini format improving both user readability and input data management.•A family of new kinetic energy and entropy preserving schemes (KEEP) are now available and can be selected for stable, non-dissipative and accurate spatial discretization of the convective terms of the Navier–Stokes equations in smooth flow regions [2]. Concerning the shock-capturing flux, the improved low-dissipative WENO-Z scheme proposed by [3] is now available.•New inflow boundary conditions based on the recycling/rescale approach [4] have been implemented for the simulation of spatially evolving compressible turbulent boundary layers. Moreover, a new inflow condition based on the solution of the compressible Blasius equation is available to take into account the case of laminar boundary layers.•The constitutive relations have been generalized to take into account thermally perfect gases with variable specific heats, approximated with polynomial functions of the temperature that can be specified by the user [5].•A new stretching function has been implemented to improve the distribution of grid nodes for the computation of wall-bounded turbulent flows. The formulation blends uniform near-wall spacing with uniform resolution in terms of Kolmogorov units in the outer wall layer, guaranteeing accuracy with higher computational efficiency [6].Nature of problem: The code solves the compressible Navier–Stokes equations in Cartesian coordinates for a thermally perfect gas. The solver is designed for direct numerical simulation (DNS) of compressible supersonic turbulent boundary layers and various canonical configurations are supported, including turbulent channel flow, laminar and turbulent boundary layer and shock-wave/boundary layer interaction.Solution method: The equations are discretized using high-order finite difference approximations with hybrid low-dissipative/shock-capturing capabilities and the time advancement is performed using a Runge–Kutta scheme.

Fiber Optic Attenuation Analysis Based on Mamdani Fuzzy Logic in Gambir Area, Central Jakarta

In this study, the authors conducted an analysis of the quality of fiber optic network maintenance based on attenuation value and maintenance time using fuzzy Mamdani logic and simulated using Matlab software, to improve accuracy in drawing conclusions on maintaining quality. This study uses a quantitative method, in which the author obtains a summary of customer data from PT. Telkom Indonesia in a period of 4 months of observation from August to November 2021. In August there were 776 customers, in September there were 362 customers, in October there were 359 customers, and in November 445 customers who underwent Indihome fiber optic cable maintenance. The test results with the centroid method with an input Handling Time of 1.5 hours and an Attenuation of 15 dB, then the output Repair Quality is 5.5 or categorized as Good. The greater the attenuation value generated, the more time it takes to maintain the IndiHome internet network disturbance. This is due to the many technical maintenance of fiber optic cables carried out by technicians to adjust for damage/trouble in the field. It is expected that maintenance can be carried out routinely in order to avoid fatal internet disturbances on the customer's side, and maximize maintenance time according to the dosage determined by the company, which is less than 3 hours, taking into account the work performance of technicians and also the quality of maintenance.

Analisis Kepuasan Pasien Terhadap Pelayanan Kesehatan di RSUD Lahat Tahun 2021

Satisfaction is the response or level of feeling of the patient obtained after the patient receives a health service product by comparing the perceived performance or result with the patient's needs and expectations. This study aims to analyze patient satisfaction with health services at Lahat Hospital in 2021. This study was a quantitative study with a cross sectional approach. The sampling technique used stratified random sampling obtained a sample of 97 respondents. Data was collected using a questionnaire, then the data was analyzed using the chi square test with a significance level of p value <0.05. The data were also analyzed using logistic regression test to determine the dominant variables that affect patient satisfaction. The results of the Community Satisfaction Index (IKM) in the Outpatient Lahat Hospital in 2021 were 77.44 with a service quality of "B" and service performance "Good. The results of bivariate analysis showed that there was a relationship between service requirements and patient satisfaction (p=0.005), service procedures (p=0.000), service completion time (p=0.001). service fee (p=0.005), specification of service type (p=0.006), competence of service implementer (p=0.011), behavior of service provider (p=0.000), handling of complaints, suggestions and inputs, facilities and infrastructure (p=0.000). The results of multivariate analysis with logistic regression test showed that the most dominant variable was facilities and infrastructure (p=0.041) p value <0.05 with the largest OR value of 383.398. It is recommended to hospitals to further improve facilities and infrastructure so that patient satisfaction can increase

Assessing and assuring interoperability of a genomics file format.

MotivationBioinformatics software tools operate largely through the use of specialized genomics file formats. Often these formats lack formal specification, making it difficult or impossible for the creators of these tools to robustly test them for correct handling of input and output. This causes problems in interoperability between different tools that, at best, wastes time and frustrates users. At worst, interoperability issues could lead to undetected errors in scientific results.ResultsWe developed a new verification system, Acidbio, which tests for correct behavior in bioinformatics software packages. We crafted tests to unify correct behavior when tools encounter various edge cases—potentially unexpected inputs that exemplify the limits of the format. To analyze the performance of existing software, we tested the input validation of 80 Bioconda packages that parsed the Browser Extensible Data (BED) format. We also used a fuzzing approach to automatically perform additional testing. Of 80 software packages examined, 75 achieved less than 70% correctness on our test suite. We categorized multiple root causes for the poor performance of different types of software. Fuzzing detected other errors that the manually designed test suite could not. We also created a badge system that developers can use to indicate more precisely which BED variants their software accepts and to advertise the software’s performance on the test suite.Availability and implementationAcidbio is available at https://github.com/hoffmangroup/acidbio.Supplementary information Supplementary data are available at Bioinformatics online.

Quantifying the effects of forecast uncertainty on the role of different battery technologies in grid-connected solar photovoltaic/wind/micro-hydro micro-grids: An optimal planning study

Designing a reliable and robust micro-grid (MG) aided by energy storage devices requires quantifying the parametric uncertainty associated with input data time-series, among other types of uncertainties – and in particular, the uncertainty in forecasted meteorological, load demand, and wholesale electricity price time-series. Given the computational complexities involved, the recent battery-storage-supported MG capacity optimisation literature fails to simultaneously characterise multiple sources of data uncertainty. This paper, therefore, seeks to address this knowledge gap by hedging against a wide array of parametric uncertainties at the same time, whilst exploring the potentially salient implications of high-dimensional uncertainty characterisation for the costing and configuration of battery-supported, grid-tied MGs. To this end, this paper introduces a novel computationally efficient, stochastic MG design optimisation model that enables the simultaneous handling of multiple uncertain inputs. Notably, the model yields in-depth, accurate, and robust infrastructure decision-making support, particularly with regard to the optimal size of battery storage, by specifically analysing the worst-case, most likely case, and best-case uncertainty characterisation scenarios. To demonstrate the effectiveness of the model within a community renewable energy project scheme, a case study of a grid-connected, battery-storage-supported MG in the town of Ohakune, New Zealand is presented. Importantly, the numerical simulation results indicate that the life-cycle cost of the MG would have been underestimated by as much as ~8% (equating to NZ$0.3 m) in the most likely case – with an associated ~15% (equating to 143 kWh) battery size underestimation – if the variability inherent in forecast inputs was not factored into the analysis. Also, the proportion of the energy storage capacity to the total renewable power generation capacity is ~71%, ~76%, and ~68% in the best-case, most likely case, and worst-case scenarios, respectively, suggesting that the risk-seeking and risk-averse MG planning strategies have a slightly contradictory effect on the storage-to-generation ratio. Comprehensive sensitivity analyses of different battery technologies with different specific power, specific energy, and depth-of-discharge specifications have also demonstrated the robustness and validity of the model, whilst additionally identifying the sodium‑sulfur (NaS) battery technology as the most profitable choice in grid-connected MG development applications – which can be primarily attributed to the fact that it provides the best trade-off between the specific power and specific energy.

The paradox of organizational complexity in urban development: boundary spanners’ handling of citizen proposals

ABSTRACT Although local governments establish various arrangements to stimulate citizen participation, knowledge about what happens with citizens’ proposals after participation is weak. To gain impact, citizen initiatives must be handled through the decision-making process. This article examines the dynamics of such handling of input from citizen participation in three different cases linked to an area-based initiative in Oslo, Norway. The study shows that different actors can play a role as boundary spanners handling citizen proposals, and how this crucial handling varies with the structural and procedural linkages between the participatory spaces and the formal decision-making processes. The study reveals a ‘complexity paradox’; in cases where responsibility is shared among different sectors and levels of government, each unit represents a veto point that can hinder citizen impact, but also an entrance that can enable such impact.

The Implementation of RPG Concept on Breakout Games Using LibGDX Framework

As technology becomes more global, RPG games runs into a good development. One of which is a combination of RPG with another games. This journal aims to combine the breakout games and the RPG which has its characteristics. This game development uses prototyping method, in which analysing the necessity and determining the goals of the software. Then, prototype will be created and evaluated regularly so that the result can use 2D graphics. This game also can be used as a reference to reflexes practising. A modeling is conducted to design ‘use case,’ scenario process, activity diagram, class diagram, and sequence diagram as well as to conduct an interface design. A calibration that is used, is calibrating the programme which is created as well as the features in the programme itself. It can be concluded that the construction of RPG games combination and breakout using eclipse and libgdx works well. In addition, it uses the components such as TMX tile map, sprite, sprite batching, box2d and input handling.

Artificial Intelligence for Computer Vision in Surgery: A Call for Developing Reporting Guidelines.

Artificial Intelligence for Computer Vision in Surgery: A Call for Developing Reporting Guidelines.

Who talks and who listens? A qualitative analysis of citizen dialogues in rural Sweden

ABSTRACT Inclusion in local policy processes through citizen dialogue has been depicted as both the solution to many democratic challenges and a democratic problem in itself. Nevertheless, it has been widely adopted throughout Europe. The hierarchically flat, co-governing setup of these instruments can be expected to clash with representative-heavy political cultures, such as that in Sweden, which raises questions about what role they end up having in this context and whether they complement representative democracy. By conducting a comparative study of two rural Swedish municipalities, we confirmed that traditional, hierarchical governance indeed dominates the studied processes. Our results also suggest that, due to skewed participation and unclear input handling, the studied instrument does not appear to constitute a viable complementary democratic institution in terms of representation. Instead, we argue that, conducted in this way, it may potentially fill a range of different purposes without aspiring to fully complement representative democracy.

PELAYANAN INSTALASI FARMASI POLI RAWAT JALAN TERHADAP INDEKS KEPUASAN PASIEN KLINIK RAWAT INAP UTAMA PEMUDA BOJONEGORO

The purpose of this study is to describe the level of community satisfaction as a service user based on the Ministry of Education and Culture No. 14 of 2017. Nine elements that are used as indicators of measuring community satisfaction with public service providers are requirements, systems, mechanisms and procedures, completion time, fees / rates, Product specifications for types of services, Competence of implementers, Behavior of implementers, Handling of complaints, Suggestions and input, Services and Infrastructure. This study uses a descriptive method with a quantitative approach, the study population is outpatient poly patients who redeem prescription drugs and meet the sampling criteria in the Pharmacy Installation, sampling techniques using non-probability sampling methods by means of purposive sampling where the determination of the sample with special consideration so that it is suitable to be made sample. Calculation of the Community Satisfaction Index of service units in the Bojonegoro Youth Main Inpatient Clinic obtained a value of 74.49 that falls into the category of service quality C and the performance of the service unit falls into the unsatisfied category.Keywords: health services, community satisfaction index.

PELAYANAN INSTALASI FARMASI POLI RAWAT JALAN TERHADAP INDEKS KEPUASAN PASIEN KLINIK RAWAT INAP UTAMA PEMUDA BOJONEGORO

The purpose of this study is to describe the level of community satisfaction as a service user based on the Ministry of Education and Culture No. 14 of 2017. Nine elements that are used as indicators of measuring community satisfaction with public service providers are requirements, systems, mechanisms and procedures, completion time, fees / rates, Product specifications for types of services, Competence of implementers, Behavior of implementers, Handling of complaints, Suggestions and input, Services and Infrastructure. This study uses a descriptive method with a quantitative approach, the study population is outpatient poly patients who redeem prescription drugs and meet the sampling criteria in the Pharmacy Installation, sampling techniques using non-probability sampling methods by means of purposive sampling where the determination of the sample with special consideration so that it is suitable to be made sample. Calculation of the Community Satisfaction Index of service units in the Bojonegoro Youth Main Inpatient Clinic obtained a value of 74.49 that falls into the category of service quality C and the performance of the service unit falls into the unsatisfied category.Keywords: health services, community satisfaction index.

Deep Learning Explicit Differentiable Predictive Control Laws for Buildings

Abstract We present a differentiable predictive control (DPC) methodology for learning constrained control laws for unknown nonlinear systems. DPC poses an approximate solution to multiparametric programming problems emerging from explicit nonlinear model predictive control (MPC). Contrary to approximate MPC, DPC does not require supervision by an expert controller. Instead, a system dynamics model is learned from the observed system’s dynamics, and the neural control law is optimized offline by leveraging the differentiable closed-loop system model. The combination of a differentiable closed-loop system and penalty methods for constraint handling of system outputs and inputs allows us to optimize the control law’s parameters directly by backpropagating economic MPC loss through the learned system model. The control performance of the proposed DPC method is demonstrated in simulation using learned model of multi-zone building thermal dynamics.

Farmers Perception towards Agri-clinical Services for Rubber Plantation Crop at Sepahijala District of Tripura

This study aims to access and evaluate the Farmers perception towards Agri-clinical services of the rubber crop. The study has taken readings on the basis of their awareness level towards clinical services, the perception regarding clinical services, the significance of issues during the application of clinical services and some suggestive opinions of farmers located at Sepahijala district of Tripura. Study has highlighted the level of awareness and knowledge among farmers for clinical services to be used for rubber plantation crop. The study has highlighted that the subsidies will increase more development in their purchasing capacity like equipment and tools and also it will lead to more participation in rubber farming. It has been categorically identified the core significance of clinical services among the key stakeholders of the plantation crop. Paper has made an attempt to find out the utilization of farm utility, schemes, proper handling of inputs and risk management functions of commodity.

ANALISIS DATA TERKAIT TATA LETAK PABRIK DAN MATERIAL HANDLING SERTA USULANNYA (STUDI KASUS : PT. XXY)

This research was conducted in November to December 2019 at PT. Sejahtera Mandiri St. Raya Pekanbaru Bangkinang Km 16, Riau Province. This research aims to find out the layout of plant facilities and Material Handling of activities input until it becomes ouput. This activity is carried out by collecting data throug observation, interviews, to take several documents such as photographs. With these data are analyzed in terms of the layot of plant facilities and Material Handling at PT. Sejahtera Mandiri so it produces some proposed designs or proposed opinions related to the layout of plant facilities and Material Handling. The result of this study indicate that the layout of factory facilities and Material Handling PT Sejahtera Mandiri has been optimized according to factory area considerations but there are some input points, such as the allocation of several work stations and realted proposals Material Handling of one work station and other work station that aim can minimize production costs and production time.

Analisis Indeks Kepuasan Masyarakat terhadap Pelayanan Perizinan pada Dinas Penanaman Modal dan Pelayanan Terpadu Satu Pintu (DPM-PTSP) Provinsi Jambi Tahun 2019

This study aims to determine the level of community satisfaction through the results of a survey and assessment of the performance of services that have been provided by the apparatus of the DPM-PTSP Jambi Province licensing service provider in 2019. Dimensions measured to determine the community satisfaction index are Service Requirements, Systems, Mechanisms and Procedures Service, Service Time, Service Cost / Tariff, Product Specifications Type of Service, Implementing Competence, Behavior (Courtesy and Hospitality) Service Officers, Facilities and Infrastructure, Handling complaints, suggestions and input. This study uses a survey method that is supported by quantitative descriptive analysis. The population in this study is the User Services at the DPM-PTSP Jambi Province in 2019 as many as 200 people. While the sample is taken by random sampling or taken randomly and incidental sampling. The number of samples using a sample table from Morgan and Krejcie was 132 respondents.The analytical tool used is univariate and bivariate analysis. The index of community satisfaction in the DPM-PTSP of Jambi Province was 3,662 or 91,540 for the IKM value after being converted. The value of the IKM indicates that the service quality is at level A and the performance of the DPM-PTSP licensing service unit in Jambi Province is very good. There are 4 service elements that have a Community Satisfaction Index, namely Service Officer Behavior Elements (IKM 91,288), Implementing Competency Elements (IKM 90,909), Quality Facilities and Infrastructure Elements (IKM 89,962), Complaints Handling Elements, Suggestions and Feedback (IKM 89,394) ), but the quality of service is still at level A or categorized as very good. Furthermore, there are five service elements that have a Community Satisfaction Index (IKM) above the average Service Requirement Element (IKM 93,371), Service Procedure (IKM 92,424), Service Time (IKM 92,045), Service Cost / Tariff (IKM 92,614), Service Products (IKM 91,856). The service element that has the highest community satisfaction index is the service requirement element, then the service element that has the lowest community satisfaction index is the handling of complaints, suggestions and. The main factor influencing community satisfaction is the competence of the executor and handling of service complaints, input and advice on the DPM-PTSP licensing service unit of Jambi Province which must be appropriate and there is a complaint box, and there must be follow-up with transparent, accountable, and certain service complaint handling mechanisms. time table (time table) and legal certainty. Based on the results of the bivariate analysis that in the licensing service unit in DPM-PTS Jambi Province the service elements from elements 1 to 9 are still partial and not yet comprehensive and synergic. This can be seen from the relationship between elements that are not significant, it needs to be strengthened in the implementation of management functions, especially the stronger coordination and supervision functions between sectors in licensing services in DPM-PTS Jambi Province.

Kualitas Pelayanan bagi Penyandang Tuna Netra Dinas Perpustakaan Umum dan Arsip Daerah Kota Malang

The City Government of Malang through the Dinas Perpustakaan Umum dan Arsip Daerah Kota Malang through the LAPOBRA service seeks to create friendly services especially for tuna netra. Over the past 4 years, the quality of the services provided can already be assessed. The goal is to find out the services provided to persons with visual impairment have met their expectations or not. The method used is a qualitative approach; type of analytic descriptive research; and the focus of research is the adjustment between PERMENPANRB 14/2017 and SERVQUAL. Based on the findings, the competence of the implementers (competence); implementing behavior (assurance); Handling of complaints, suggestions and input as well as efforts to understand the needs of visitors who are blind (understanding/ knowing the customer), as well as facilities and infrastructure (tangible), are felt to be in accordance with the expectations of blind visitors. Negative results appear on the ease of being contacted and met (access), the cause is due to the lack of interaction and assistance by service providers.

The supply chain for seed in Uganda: Where does it go wrong?

Improving agricultural output and food security is a major concern in sub-Saharan Africa, but many efforts to help farmers improve yields have failed. Recent research has shown that farm inputs are often of very low quality, which may explain suboptimal yields and low adoption of inputs. Researchers and policy makers have focused on two main explanations for this low quality: sellers purposefully faking or adulterating inputs, and seed deterioration along the supply chain. We present the results of testing seeds along the maize supply chain in Uganda for seed performance and genetic and physical purity. We obtain two main results. First, we find no evidence that the average quality of seeds deteriorates along the supply chain. In fact, we find generally good levels of quality on average, though variation in outcomes increases further down the supply chain. Second, we do not find evidence of serious seed faking or adulteration. Instead, the results are more consistent with mishandling and poor storage of seeds. These results have potentially significant implications for agricultural policy and programming in sub-Saharan Africa, which has tended recently to focus on certification to reduce the possibility of adulteration rather than improve the handling of inputs.