bluuebunny/crossref_metadata_2025 huggingface dataset:
The Classification and Regulation of Mountain Villages in the Context of Rural Revitalization—The Example of Zhaotong, Yunnan Province
Authors: Li Zehong , Miao Xinran , Wang Mengyuan , Jiang Shuguang , Wang Yuxian
Published: September 2022

Village classification schemes and development strategies have important theoretical and practical significance for realizing rural revitalization. Mountainous villages account for a large proportion of China’s rural areas, which is a challenge to rural revitalization. This study takes the mountainous region of Zhaotong, Yunnan Province, and the “National Strategic Plan for Rural Revitalization (2018–2022)” to construct an evaluative index of village development potential and a village classification model, and proposes regulation strategies and the classification and stratification public service configuration scheme for different types of village. The research results show that (1) when evaluating development potential, terrain factors such as slope and geological hazards should be included; (2) the distribution of development potential in Zhaotong has obvious heterogeneity; (3) villages in Zhaotong are divided into five types for development: agglomeration and upgrading, suburban integrated, relocated and merged, characteristic conservation, and temporarily ambiguous types; and (4) the order of greatest to least number of village types is agglomeration and upgrading > suburban integrated > relocated and merged > temporarily ambiguous > characteristic conservation. The agglomeration and upgrading, relocated and merged, and suburban integrated types are relatively concentrated spatially. The characteristic conservation and temporarily ambiguous types are more scattered. Based on the above research results, it is suggested that villages be renovated and public service facilities be configured on different levels, according to the characteristics of different village types. During renovation, special emphasis is placed on preserving the original style of the village and protecting and respecting the will of the villagers. The strategy for developing village infrastructure and public service facilities should be dynamically adjusted according to village type.
Are Pandas Effective Ambassadors for Promoting Wildlife Conservation and International Diplomacy?
Authors: Yang Dongdong , Lin Carolyn A.
Published: September 2022

The current study drew from emotional contagion and source credibility theories to investigate whether watching differentially sourced panda videos may influence attitudes toward the “brand” image of China. An experiment (N = 245) conducted with a U.S. college student sample showed that perceived source credibility and nature relatedness were positively linked to emotional response toward the video. A non-governmental video source was perceived to be more credible than a governmental video source in influencing attitude toward Chinese culture, emotional response toward the video, and attitude toward wildlife conservation. The latter two variables and nature relatedness likewise positively predicted attitude toward Chinese culture, which in turn had a positive effect on attitude toward Chinese people; attitude toward Chinese people further positively affected attitude toward Chinese government. These findings suggest that panda diplomacy as a soft-power nation-branding device might have been relatively effective in building goodwill toward Chinese culture, people, and government overtime.
Examining the Interaction Effect of Control of Corruption and Income Level on Environmental Quality in Africa
Authors: Usman Ojonugwa , Iorember Paul Terhemba , Ozturk Ilhan , Bekun Festus Victor
Published: September 2022

The effects of corruption and income on environmental degradation is well established in the literature. However, little attention has been given to how the control of corruption affects the environmental quality at different levels of income. This study examines the interaction effect of the control of corruption and income on environmental quality in Africa over the period from 1996 to 2017. Using a Method of Moments Quantile Regression (MMQR) with fixed effects, the results revealed that both the control of corruption and income level increase CO2 emissions while their interaction term reduces CO2 emissions. This implies that the interaction effect of the control of corruption and income level mitigates carbon emissions. Particularly, the marginal effect of the control of corruption on CO2 emissions decreases as income level increases. Furthermore, renewable energy consumption has a negative and significant effect on CO2 emissions. The effect of foreign direct investment on CO2 emissions is positive and significant, which validates the pollution haven hypothesis. These results are heterogeneous across the quantile distribution of CO2 emissions. Based on these findings, our study suggests the need for the government and policymakers to stimulate income levels as a prerequisite for achieving sound and effective environmental policies in Africa.
Engaging Stakeholders for Designing a FAIR Energy Data Management Tool: The Horizon 2020 EnerMaps Project
Authors: Balest Jessica , Pezzutto Simon , Giacovelli Grazia , Wilczynski Eric
Published: September 2022

Energy transition deals with and starts from data and information, which are relevant for decision making and strategy implementation. Several stakeholders who deal with planning, energy management, and policy-making processes need findable, accessible, interoperable, and reusable (FAIR) data to solve professional issues. The Horizon 2020 (H2020) EnerMaps project contributes to providing FAIR data management. It aims to improve data availability, data quality, and data management for industry (especially renewable technology industry), energy planners, energy utilities, energy managers, energy consultants, public administration officers operating in the energy sector, policy decision makers, and social innovation experts. We apply a flow of methods to engage stakeholders for designing and operating a data management tool in the energy field—the EnerMaps Data Management Tool (EDMT). The methodologies applied include: stakeholder analysis, social network investigation, and semi-structured interviews to assemble user stories and needs. Far from being obvious, this type of analysis is capable of addressing the needs and challenges in the data sector, proposing an innovative tool. In this case, the main issues emerging are data quality (inclusive data normalization), the acquisition of datasets, and the deep understanding of data tools operation. In contrast, concerning the user needs inquiry, a number of topics emerge, such as the need to access datasets related to energy consumption and production, and several software-related needs, such as the possibility of normalizing and harmonizing the data.
Spatial Pattern Reconstruction of Water and Land Resources in Coal Mining Subsidence Areas within Urban Regions
Authors: Zhu Xiaojun , Zha Feng , Cheng Hua , Zheng Liugen , Liu Hui , Huang Wenshan , Yan Yu , Dai Liangjun , Fang Shenzhu , Yang Xiaoyu
Published: September 2022

Water and land resources are important material bases of economic and social development, and their spatial patterns determine the pattern of the urban development. The development and expansion of coal-resource-based cities have introduced new societal problems, such as the overlapping of new city construction areas and underground coal resources. Underground coal mining also leads to surface subsidence, which destroys water and land resources and seriously affects the sustainable development of coal-resource-based cities. The surface subsidence area takes a long time to stabilize, and may form a large waterlogging area due to the high groundwater level, thereby increasing the difficulty of reconstructing mining subsidence areas. In this context, a scientific and complete method for reconstructing the spatial pattern of water and land resources in unstable coal mining subsidence areas within urban is proposed in this paper. This method initially predicts the surface subsidence value and then divides the subsidence area within the urban region into the waterlogging area and the non-waterlogging area according to the surface subsidence value. The waterlogging area will be renovated into a landscape lake district in the city by a series of transformation measures. Afterwards, goaf rock mass activation and surface stability evaluation analyses are performed in the non-waterlogging area. According to the evaluation results, land resources can be divided into unaffected, restricted and prohibited building areas, with each area being transformed differently. The Lv Jin Lake in Huaibei is selected as a case study, and the proposed method is applied to reconstruct its water and land resources. The original spatial pattern of the large-scale waterlogging area and abandoned land due to mining subsidence in urban areas is then reconstructed into a spatial pattern that integrates the urban landscape, scenario living and eco-tourism. Compared with traditional subsidence area management, the proposed method greatly increases the utilization value of water and land resources, improves the urban ecological environment, enhances the urban quality and effectively alleviates the problems of land shortage and human–land conflict in coal-resource-based cities.
China’s Carbon Market in the Context of Carbon Neutrality: Legal and Policy Perspectives
Authors: Hao Haiqing , Yang Xue
Published: September 2022

China’s carbon market covers a huge amount of emissions, but the effects of emission reduction in the early stages are limited. This study explores the regulation of policies and laws on the carbon market through doctrinal and empirical research in the field of law. The study reveals that although the national carbon market witnessed a considerable quota trading volume, the peak of trading is concentrated and accompanied by a high compliance rate. The total amount of quotas in the first compliance cycle is too large, coupled with a single trading product, and participants in the early stage fail to activate the carbon market, making it difficult to form the carbon pricing mechanism in the market. The legal factors behind this phenomenon are related to the total amount setting mode and the construction route from simple to complex. Based on the above analysis, this study concludes with the following path to improve China’s legislation. To comply with cap and trade, China must improve the setting mechanism of total quotas to form an investment field that participates in multiple entities; effectively play the role of carbon trading in market regulation; and guarantee smooth operation through penalty and reward coordination and a unified MRV mechanism.
Factors Influencing Post-Construction Responses of Underlying Tunnel below Excavation Base in Gravelly Clay
Authors: Xie Sheng-Wei , Ye Yue-Hong , Ren Jie
Published: September 2022

This paper investigates the response mechanism behind an existing tunnel subjected to a long and deep collinear excavation in Shenzhen granite residual strata. The maximum excavation depth was 18.0 m and the minimum residual soil depth above the tunnel crown was only 6.3 m, causing appreciable tunnel heave and transverse deformation. Two-dimensional parametric numerical study is adopted to examine the impacts of influential factors (excavation dimensions, ground permeability coefficient, and exposure time of the excavation base) on the tunnel responses. The hardening soil model with small strain (HS-Small) is used to model the soil stress–strain behavior. It is found that the long-term deformation of the tunnel after excavation and unloading cannot be ignored. The soil will continue to consolidate and deform, and the tunnel will continue to heave with soil due to the dissipation of the negative excess pore water pressure. The long-term deformation of the tunnel after excavation and unloading is significantly affected by the excavation geometry. With the increase in excavation width B, the final tunnel heave after excavation and unloading increases first and then tends to be stable. Furthermore, the relative position of the tunnel and the excavation base is also one of the major contributors to the long-term deformation of the tunnel. The growth of tunnel deformation Δf and the exposure time T are exponentially negatively correlated with Ly. The change in the permeability coefficient k has no effect on the final stable tunnel heave and the growth of tunnel deformation Δf, which is exponentially negatively correlated with the exposure time T.
Bioconversion of Starch Base Food Waste into Bioethanol
Authors: Onyeaka Helen , Mansa Rachel Fran , Wong Clemente Michael Vui Ling , Miri Taghi
Published: September 2022

The global demand for fuel keeps increasing daily. The massive depletion of fossil fuels and their influence on the environment as pollution is a severe problem. Meanwhile, food waste disposal is also a complex problem in solid-waste management since one-third of every food consumed is discarded as waste. The standard waste management methods, including food waste incineration and landfilling, are considered hazardous to the environment. Food waste constituents are majorly starch-based and contain various biomolecules, including sugar, lipids, proteins, vitamins, cellulose, etc. These polysaccharides can be hydrolysed into monosaccharides such as glucose, which can then be fermented using microorganisms to produce ethanol through the fermenting of sugars derived from enzymatic hydrolysis treatment of food wastes. The human food system is rich in starch, which can be a potential resource for bioethanol production.
Quantification and Removal of Volatile Sulfur Compounds (VSCs) in Atmospheric Emissions in Large (Petro) Chemical Complexes in Different Countries of America and Europe
Authors: Hernández-Fernández Joaquín , Cano Heidi , Rodríguez-Couto Susana
Published: September 2022

The present research was focused on the determination and removal of sulfur-containing compounds in industrial emissions of liquefied petroleum gas purification processes in petrochemical plants located in the USA, Brazil, Colombia, Spain, and Italy. For the analysis of volatile sulfur compounds (VSCs), an improved analytical methodology was implemented. The performance of the method was evaluated for eight VSCs in a linear dynamic range between 0.1 and 50 ppm. The concentrations of the eight VSCs in the deethanizer affluents ranged from 11 to 49 ppm for all the studied plants, which exceed the limits specified by institutions and administrations in occupational health and safety. The concentrations of the eight VSCs in the splitter affluents were lower than 4 ppm for all the considered plants. The emissions from each column depended upon its operating rate, with the highest concentrations estimated at 45 TM kg−1 and the lowest ones at 25 TM kg−1. A zeolite-packed prototype column was fitted at the outlet of the splitter and deethanizer columns to reduce the environmental effect of the examined VSCs. This technique was verified and put into practice on an industrial scale, obtaining VSC removal percentages of between 85 and 91%.
Considerations for the Variable Density Lattice Structure of Additive Manufacturing: A Review
Authors: Zhang Xinju , Tian Zhenlu , Yang Guang , Zhang Hao , Xue Zhanpu , Yan Haipeng , Ji Yunguang
Published: September 2022

In recent decades, the additive manufacturing technology has made great progress in software and methods in various fields, and gradually explored in a deeper and broader manner. It has changed from the mature homogenized lattice type and model design to a non-uniform direction. It has also started to improve from the aspects of material innovation, additive manufacturing printing technology, etc., to change the additive manufacturing technology and control parameters in the manufacturing process, Furthermore, the model or part can be improved to have better mechanical properties, such as stiffness, strength and wear resistance, which provides an important research methodology for the better development of this direction. These aspects include the software used, the type of structural analysis, the software used and verification, as well as the methods applied in the study of variable density lattices and the application and verification of improved research methods. In addition, there are density design optimization, variable density lattice design and lattice geometric characteristics’ design in geometric topology optimization design. The expected design of the model or part at the design level has reached the ideal model or part, which provides both a framework and ideas for the future research direction of non-uniform lattice design and a broader field of application, and will promote the future research and development prospects of variable density lattices.
What Do Pre-Service Preschool Teachers Know about Biodiversity at the Level of Organisms? Preliminary Analysis of Their Ability to Identify Vertebrate Animals
Authors: Robles-Moral Francisco Javier , Fernández-Díaz Manuel , Ayuso-Fernández Gabriel Enrique
Published: September 2022

The current global crisis has one of its worst sides in the biodiversity crisis. Biodiversity loss affects both species and the functionality of ecosystems. This leads to a decrease or loss of ecosystem services, with catastrophic effects on all living beings, including humans. In this sense, education must be another tool that contributes to biodiversity conservation. The aim of this research is to determine the knowledge that pre-service preschool teachers have about vertebrate animals. The results indicate that there is little knowledge of the native fauna (from a nearby regional geographical area). In this case we consider native fauna the fauna of the Iberian Peninsula, as this is the location of the research. The scarce knowledge of the native fauna can be an obstacle to its teaching and therefore to its conservation. In this sense, training actions are needed to provide teachers with knowledge of native biodiversity so that the school can act as a complement to biodiversity conservation and sustainable development.
Computer-Vision-Based Statue Detection with Gaussian Smoothing Filter and EfficientDet
Authors: Saleh Mubarak Auwalu , Ameen Zubaida Said , Altrjman Chadi , Al-Turjman Fadi
Published: September 2022

Smart tourism is a developing industry, and numerous nations are planning to establish smart cities in which technology is employed to make life easier and link nearly everything. Many researchers have created object detectors; however, there is a demand for lightweight versions that can fit into smartphones and other edge devices. The goal of this research is to demonstrate the notion of employing a mobile application that can detect statues efficiently on mobile applications, and also improve the performance of the models by employing the Gaussian Smoothing Filter (GSF). In this study, three object detection models, EfficientDet—D0, EfficientDet—D2 and EfficientDet—D4, were trained on original and smoothened images; moreover, their performance was compared to find a model efficient detection score that is easy to run on a mobile phone. EfficientDet—D4, trained on smoothened images, achieves a Mean Average Precision (mAP) of 0.811, an mAP-50 of 1 and an mAP-75 of 0.90.
Examining the Factors Influencing Tourists’ Destination: A Case of Nanhai Movie Theme Park in China
Authors: Zhou Liting , Ouyang Fei , Li Yang , Zhan Jieling , Akhtar Nadeem , Ittefaq Muhammad
Published: September 2022

The present study used a stimulus-organism-response (S-O-R) theoretical framework to examine the relationship between theme park tourists’ experience, brand identity, brand satisfaction, and brand loyalty in China. By using the structural equation model (CB-SEM), this paper illustrates the process of forming destination brand loyalty for sustainable tourism on theme parks. The results suggested a second-order structure of tourism experience. The first-order four factors have different impacts on the second-order tourism experience. Activity experience is the most important factor influencing tourism experience, followed by environment experience, then facility experience, and finally interaction experience. In terms of tourism experience, individual brand identity-brand satisfaction-brand loyalty is the most important path of a theme park on tourists’ behavioral intention, among which brand satisfaction plays the most significant partial mediation effect in the relationship between individual identity and destination loyalty. It is expected that the results of this study provide a reference for improving tourists’ brand loyalty to achieve sustainable development of theme parks.
Effect of Some Soil Conditioners on Water-Use Efficacy, Growth, and Yield of Date Palm Siwi Grown in Sandy Soil under Different Irrigation Regimes to Mitigate Climate Change
Authors: Hassan Khairy H. A. , Alamery Salman , El-Kholy Mohamed Farouk , Das Shobhan , Salem-Bekhit Mounir M.
Published: September 2022

A field experiment was carried out at Al-Bahariya Oasis, Giza, Egypt, during three successive seasons to find out the effect of application of bentonite (BN) as a natural clay deposit at either 6 or 12 kg/palm tree and humic substances (HS) as organic amendment at either 0.75 or 1.0 L/palm tree incorporated with Bacillus polymyxa (BP) as a biofertilizers at 14 and 28 mL/L rates on growth, yield, and fruit weight of 10-year-old Siwi date palm cv. (Phoenix dectylifera L.). Siwi trees were cultivated in sandy texture soil at a distance of 8 × 8 m and were irrigated with 100%, 85%, and 70% of ET crop. Effects of the previous treatments on growth, date palm crop, soil properties, water relations, water-use efficiency (WUE), and economic return were also studied. The obtained results showed that the mean values of leaf length, leaflet length and width, fruit set%, bunch weight, yield/palm, yield/fed, fruit weight, flesh weight, and fruit pulp weight were increased in response to the different individual and combined treatments used in this study with various significance levels compared to the control treatment means in the studied three seasons. However, the superiority was for combining between amending the sandy soil with either low concentrations of BN (6 kg/tree) + HS (0.75 Liter/tree) + BP (14 mL/L) or high concentrations of BN (12 kg/tree) + HS (1.0 L/tree) + BP (28 mL/L) and irrigation with 85% of ETc water level, as such combinations attained the highest values in most of the mentioned values over both the sole and combined treatments in the studied three seasons. Furthermore, the results indicated that the highest monthly ETc values occurred during June and July months, while the lowest values occurred during December and January months. Additionally, water productivity (WP) increased considerably by reduction of water quantity (70% ETc) associated with soil conditioner treatment (BN.12 kg +HS 1 L + BP. 28 mL/L), and values were 2.17, 2.25, and 2.27 kg fruit/m3 of water irrigation during the growing seasons, respectively. The highest net return was attributed to irrigation with 85% of ETc water level along with the application of soil conditioners at high rates. Accordingly, it is advisable to apply the soil conditioners of bentonite (at 6 or 12 kg/tree) and humic substances (at either 0.75 or 1.0 L/tree) with B. polymyxa (at either 14 or 28 mL/L) plus irrigation with either 85% or 70% of ETc water level to obtain the best growth, highest yield, (WP), and gross return from var. Siwi date palm grown under an oasis agro-system.
Driving Forces and Barriers for the Implementation of Mobility Services in Austria—A Practitioner Perspective
Authors: Schabka Marc , Kammerhofer Aurelia , Batiajew Valerie , Juschten Maria
Published: September 2022

There is growing interest in the role of integrated mobility services in successfully transforming mobility systems by improving alternatives to individual motorised transport and thus contributing to a reduction in negative impacts on nature and society. This paper analyses the conditions for the successful implementation of local mobility services in Austria by adopting a mixed-methods approach combining grounded theory and critical realism. In total, 15 narrative, semi-structured interviews were conducted, sampled by applying thematic, practical, and criterion sampling and using an analytical procedure of open, axial, and selective coding. Particular attention was paid to the influence of governance structures and related processes, the integration of user needs, and the topic of technology and its role in local mobility services. The results showed that for the success of local mobility services, in addition to the availability of and long-term commitment to funding, the initial phase of a project (e.g., the selection of project partners) and the deployment of collaborative and local participatory target-setting processes are extremely important. Further, the findings showed that the motivation and interest of all stakeholders involved in the projects can be regarded as driving forces for enhanced cooperation, dedication, and resilience throughout the project. In addition, developing and communicating needs-oriented mobility services should be emphasised. Although the analysis showed the importance of the deployment and hence the selection of certain types of technological solutions, it also highlighted the difficulties of governance processes related to choosing and implementing adequate technological solutions regarding cooperation and networking between key stakeholders in the projects.
Deterioration Models for Bridge Pavement Materials for a Life Cycle Cost Analysis
Authors: Han Daeseok , Lee Jin-Hyuk , Park Ki-Tae
Published: September 2022

As the Framework Act on Sustainable Infrastructure Management has recently been enacted in Korea, it has become mandatory to establish a medium-and long-term plan for managing social infrastructure and evaluating the feasibility of maintenance projects. However, road agencies are experiencing problems due to a lack of deterioration models which are essential to conducting a life cycle cost analysis. Thus, this study developed deterioration models for bridge pavements as the first step to secure the power of execution of the Infrastructure Management Act. The deterioration model subdivided pavement materials into asphalt, conventional concrete, and latex-modified concrete. This study analyzed the data on diagnosis for the last 12 years in Korea by applying the Bayesian Markov Hazard Model. The average life expectancy by pavement type was analyzed as follows: 12.8 years for asphalt pavement; 23.4 years for concrete pavement; and 9.8 years for latex-modified concrete pavement. For the probabilistic life cycle cost analysis and risk management, probability distributions of life expectancy, effective range by confidence level, and Markov transition probability were presented. This study lays a foundation for deterministic and probabilistic life cycle cost analysis of bridge pavement. Future studies need to develop deterioration models standardized for all components of bridges and all types of social infrastructure.
Duplicate Medication Order Errors: Safety Gaps and Recommendations for Improvement
Authors: Bocknek Lucy , Kim Tracy , Spaar Patricia , Russell Jacqueline , Busog Deanna-Nicole , Howe Jessica , Boxley Christian , Ratwani Raj , Krevat Seth , Jones Rebecca , Franklin Ella
Published: September 2022

Background: Duplicate medication orders are a prominent type of medication error that in some circumstances has increased after implementation of health information technology. Duplicate medication orders are commonly defined as two or more active
orders for the same medication or medications within the same therapeutic class. While there have been several studies that have identified contributing factors and described potential solutions, duplicate medication order errors continue to impact patient safety.

Methods: We analyzed 377 reports from 95 healthcare facilities to more granularly define the types of duplicate medication order errors and the context under which these errors occurred, as well as potential contributing factors.

Results: Of the 377 reports reviewed, 304 (80.6%) met the criteria to be defined as a duplicate medication order error. The most frequent duplicate medication order error type was same order (n=131, 43.1%), followed by same therapeutic class (n=98, 32.2%)
and same medication (n=70, 23.0%). Errors were identified during different medication process tasks and most commonly during medication reconciliation during the patient’s stay in the hospital (n=72, 23.7%) and during pharmacy verification (n=36, 11.8%). Factors contributing to these errors included health information technology issues (n=63, 20.7%), gaps in care coordination (n=44, 14.5%), and a prior dose or medication order not being discontinued (n=52, 17.1%).

Conclusion: Our results highlight specific areas for practice improvement, and we make recommendations for how healthcare facilities can better address duplicate medication order errors.
The Path Forward: The Future of Providing Safe Cancer Care
Authors: Jacobson Joseph , Allen Caitlyn
Published: September 2022

An estimated 1 in every 182 Americans will be diagnosed with cancer this year. Providing them safe care has inherent challenges, such as reaching an accurate diagnosis as quickly as possible, differentiating between disease progression and treatment side effects, and addressing broader systemic risks. Managing editor, Caitlyn Allen, sat down with medical
oncologist and former chief quality officer of the Dana-Farber Cancer Institute, Dr. Joseph O. Jacobson, to discuss the evolution of oncology care and what the future may hold.
Impacting Outcomes in the Hospitalized Oncology Patient: Evidence-Informed Quality and Safety Project to Implement Routine Screening for Delirium
Authors: Vonnes Cassandra , Tofthagen Cindy
Published: September 2022

Background: Delirium can occur in cancer patients during an acute hospitalization or in the terminal stages of cancer. Iatrogenic delirium can complicate hospital stays for over 2.6 million older persons by increasing fall risk, restraint use, length of stay, postacute placement, and costs. The purpose of this evidence-based quality improvement project was to implement routine screening for delirium with a consistent instrument and adopt an interprofessional plan of care for delirium.

Methods: This project was identified as an interprofessional improvement initiative. The project leader identified a deficiency in the screening for delirium, convened stakeholders, evaluated evidence, reviewed screening instruments, and developed a plan of care for delirium management. Practice changes incorporated routine delirium screening across the inpatient units. A delirium interprofessional plan of care was integrated into the electronic health record for ease of adoption and workflow modification.

Results: Routine screening for delirium and early interprofessional interventions reduced length of stay by 2.27 days for patients screening positive for delirium. The percentage of inpatient falls that were linked to an episode of delirium during hospitalization reduced from 23.4% to 17%.

Discussions: Routine screening and targeted interventions are a first step in prevention and identification of those inpatients at risk of developing delirium. Delirium prevention is the goal for potential associated iatrogenic conditions.
IMPLEMENTASI ALGORITMA APRIORI UNTUK PENGELOMPOKKAN PRODUK TERBAIK PADA PANGKALAN SUDIAWATI
Authors: Hanifan Rafie , Putra Tri Dharma , Hartanti Dian
Published: September 2022

Algoritma apriori merupakan algoritma yang sering digunakan. Kekurangan yang ada pada algoritma apriori adalah harus melakukan scanning berulang terhadap keseluruhan database tiap kali iterasi. Semakin banyak data transaksi yang akan diproses maka semakin lama juga waktu yang dibutuhkan.

Pangkalan Sudiawati merupakan toko sembako yang menjual berbagai produk kebutuhan masyarakat secara umum. Tanpa sembako masyarakat bisa saja terganggu karena sembako merupakan kebutuhan pokok utama. Dalam proses penempatan suatu barang pada Pangkalan Sudiawati masih dilakukan secara manual oleh pemilik pangkalan

Pada penelitian yang dikembangkan ini peneliti menggunakan algoritma apriori untuk melakukan analisis terhadap transaksi penjualan pada Pangkalan Sudiawati yang bertujuan untuk mengetahui suatu produk terbaik yang dibeli oleh para konsumennya dalam keterkaitan berbelanja.
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN TEMPAT KULINER TERBAIK DI KOTA SURAKARTA DENGAN METODE SIMPLE ADDITIVE WEIGHTING
Authors: Purnama Joel Adikurnia , Putra Wahyu Cahya Adi , Adi Ahmad Khairul , Hartanti Dwi
Published: September 2022

Kota Surakarta merupakan suatu daerah yang berkembang dari berbagai sektor, salah satunya adalah sektor kuliner. Kuliner di wilayah Surakarta berkembang cukup pesat. Tempat kuliner di wilayah Surakarta memiliki banyak pilihan makanan dari kaki lima hingga toko dan restoran. Banyaknya tempat kuliner di wilayah Surakarta menjadi masalah tersendiri bagi pengunjung dalam menentukan lokasi yang tepat untuk berkuliner. Tempat-tempat kuliner di wilayah Surakarta memiliki berbagai varian menu, harga, fasilitas, waktu operasional dan lokasi yang berbeda sehingga mengakibatkan rasa bingung untuk memilih tempat tujuan untuk berwisata kuliner. Ketidaktahuan informasi pada lokasi kuliner yang ada dapat mengakibatkan permasalahan bagi wisatawan yang ingin berkuliner[7], maka dibutuhkan suatu sistem pengambilan keputusan yang dapat membantu dalam mengambil keputusan secara tepat dengan menggunkan metode Simple Additive Weighting (SAW). Kelebihan dari metode Simple Additive Weighting dibandingkan dengan model pengambilan keputusan yang lain terletak pada kemampuannya untuk melakukan penilaian secara lebih tepat karena didasarkan pada nilai kriteria dan bobot preferensi yang sudah ditentukan, selain itu SAW juga dapat menyeleksi alternatif terbaik dari sejumlah alternatif yang ada karena adanya proses perangkingan setelah menentukan bobot untuk setiap atribut[14]. Kekurangan dari metode SAW adalah pada proses normalisasi metode SAW akan menghasilkan nilai perkiraan yang tidak selalu mencerminkan nilai sebenarnya[15]. Kriteria yang digunakan dalam penelitian ini yaitu Lokasi, Harga, Fasilitas, Variasi Menu, dan Waktu Operasional. Rumusan masalah pada penelitian ini adalah bagiamana cara membuat sistem pendukung keputusan untuk memilih tempat kuliner terbaik di kota Surakarta dengan metode SAW. Tujuan dari penelitian ini adalah untuk mengetahui tempat kuliner terbaik yang dapat dijadikan rekomendasi pemilihan tempat kuliner yang tepat bagi peminat kuliner di wilayah Kota Surakarta dengan perhitungan metode Simple Additive Weighting (SAW) yang dapat memberikan pilihan tempat kuliner yang tepat berdasarkan nilai terbobot pada suatu alternatif, sehingga diharapkan dapat meningkatkan jumlah kunjungan wisatawan yang ingin berwisata kuliner diwilayah kota Surakarta. Hasil yang diperoleh dari penelitian ini adalah alternatif saran atau pilihan tempat kuliner terbaik. Hasil dari penghitungan metode SAW diperoleh alternatif tempat kuliner terbaik di wilayah Surakarta adalah Sate Kambing Pak Manto dengan nilai preferensi relatif untuk setiap alternatifnya sebesar 0,9100.
Komparasi Jarak Euclidean dan Jarak Manhattan Untuk Deteksi Covid-19 Melalui Citra CT-Scan Paru-Paru
Authors: Eviana Ayu , Fauzan Abd. Charis , Harliana Harliana , Putra Fatra Nonggala
Published: September 2022

Adanya virus Covid-19, menjadikan negara Indonesia memiliki resiko tinggi terpapar virus Covid-19. Dalam mendeteksi Covid-19 dapat dilakukan dengan alat pencitraan medis salah satunya dengan CT-Scan paru-paru melakui sistem cerdas. Pada penelitian ini dirancang sistem cerdas menggunakan Jarak Euclidean dan Jarak Manhattan. Tujuan penelitian ini adalah untuk mengetahui hasil akurasi terbaik dari komparasi Jarak Euclidean dan Jarak Manhattan. Data set yang digunakan adalah 349 citra CT-Scan paru-paru Covid-19 dan 397 citra CT-Scan paru-paru Non Covid-19. Pada penelitian ini dilakukan uji coba sebanyak 3 skenario. Metode yang digunakan adalah dengan melakukan tahap awal preprocessing dengan mengubah ukuran citra dan mengubah citra ke dalam bentuk grayscale. Kemudian dilakukan perhitungan jarak antar pixel dan dicari nilai terdekat untuk memperoleh hasil. Hasil yang  diperoleh dari penelitian ini berdasarkan uji coba 3 skenario menggunakan Jarak Euclidean dan Jarak Manhattan, didapatkan hasil terbaik pada skenario ke-3. Pada skenario ke-3 menggunakan Jarak Euclidean diperoleh accuracy 82,87%, precission 76,08%, dan recall 85,71%, sedangkan menggunakan Jarak Manhattan diperoleh nilai accuracy sebesar 86,98%, precission 77,77%, dan recall 85,71%. Maka pada penelitian ini dapat disimpulkan bahwa hasil akurasi terbaik adalah menggunakan Jarak Manhattan dengan  nilai accuracy sebesar 86,98%, precission 77,77%, dan recall 85,71%.
Analisis Perbandingan Kinerja Metode Rekursif dan Metode Iteratif dalam Algoritma Linear Search
Authors: Lutfina Erba , Inayati Nur , Saraswati Galuh Wilujeng
Published: September 2022

Salah satu algoritma pencarian data yang paling populer adalah algoritma linear search.  Dalam proses pencarian data sebuah list menggunakan algoritma linear search dapat diterapkan dengan cara iteratif dan rekursif. Pandangan umum mengenai algoritma linear search adalah bahwa performa metode iteratif memiliki hasil yang sama dengan rekursif. Namun di beberapa penelitian menentang pernyataan tersebut yang mungkin tidak berlaku pada semua kasus. Dari analisis tersebut, penelitian ini berfokus pada perbandingan metode rekursif dan iteratif pada algoritma linear search untuk mengetahui algoritma mana yang paling sesuai, efisien dan efektif. Penelitian dilakukan menggunakan 3 studi kasus dengan masing-masing data sebanyak 1 juta, 10 juta, dan 100 juta. Penelitian berfokus pada hasil penggunaan memori dan waktu akses pada proses pencarian data menggunakan notasi Big-O dan bahasa pemrograman Python. Hasil penelitian menunjukkan bahwa algoritma linear search secara iteratif lebih efektif dan efisien dari pada rekursif. Meskipun kedua metode tersebut memiliki kompleksitas Big-O yang sama, namun hasil dari eksekusi program menunjukkan hasil yang berbeda. Dengan hasil algoritma linear search secara iteratif memiliki hasil waktu eksekusi dan penggunaan memori yang lebih unggul yaitu waktu akses dan penggunaan memori yang lebih sedikit dibanding metode rekursif.
Analisis Sentimen Media Sosial Twiiter terhadap RUU Omnibus Law dengan Metode Naive Bayes dan Particle Swarm Optimization
Authors: Dainamang Syukri Adisakti , Hayatin Nur , Chandranegara Didih Rizki
Published: September 2022

Media sosial merupakan platform yang paling digemari oleh masyarakat Indonesia mulai facebook, instagram dan twitter. Twitter merupakan salah satu media sosial yang paling banyak digunakan baik itu untuk berinteraksi dengan orang lain ataupun mencari informasi-informasi ataupun berita yang sedang trending topik, dengan cepatnya berbagai berita ataupun informasi tersebar di twitter seperti isu yang sedang trending saat ini yaitu mengenai Ruu Omnibus Law, berbagai tanggapan yang diberikan oleh pengguna twitter mengenai kebijakan yang sudah disahkan oleh pemerintah ini. Dalam penelitian ini mengklasifikasikan sentimen masyarakat Indonesia mengenai isu Omnibus Law  ini menggunakan metode Naïve Bayes dan Particle Swarm Optimization (PSO) dan dibagi kedalam dua skenario pengujian, penggunaan Algoritma Particle Swarm Optimization pada Naïve bayes ini bertujuan mengoptimalkan hasil akurasi. Hasil yang didapatkan pada saat memakai Naïve Bayes berbasis Particle Swarm Optimization (PSO) lebih baik jika dibandingkan dengan Naïve Bayes. Hasil akurasi yang paling baik terdapat pada skenario tiga dengan split data 90% - 10% menggunakan Naïve Bayes mendapatkan hasil 85% dan memakai Naïve Bayes berbasis Particle Swarm Optimization hasil akurasinya berubah menjadi lebih tinggi 4% mendapatkan hasil 91%, besaran dalam melakukan split data sangat berpengaruh terhadap hasil klasifikasi yang dilakukan. Tanggapan dari masyarakat berupa sentimen negatif terhadap RUU Omnibus Law
Implementasi Algoritma Text Mining dan Cosine Similarity untuk Desain Sistem Aspirasi Publik Berbasis Mobile
Authors: Rismayani Rismayani , SY Hasyrif , Darwansyah Tommy , Mansyur Irsan
Published: September 2022

Keberadaan DPRD di daerah sering disebut sebagai fungsi perwakilan karena bertugas menyuarakan aspirasi rakyat dan bertindak atas nama rakyat (pemerintah perwakilan) di bidang legislatif. Selama ini sebagian besar masyarakat masih sulit menyampaikan aspirasinya kepada Dewan Perwakilan Rakyat Daerah (DPRD) Kota Makassar dan mendapatkan masukan atas aspirasi yang disampaikan masyarakat kepada Dewan Perwakilan Rakyat Daerah (DPRD). Masalah penelitian adalah bagaimana mengolah data aspirasi masyarakat untuk mengkategorikan mereka berdasarkan komisi berbasis mobile dan data aspirasi masyarakat mendapatkan masukan dari Dewan Perwakilan Rakyat Daerah (DPRD) atas aspirasi yang mereka kirimkan. Tujuan dari penelitian ini adalah untuk membangun sebuah aplikasi yang dapat menampung aspirasi masyarakat dan kemudian dapat mengklasifikasikannya dan meneruskannya ke komisi berbasis mobile yang sesuai, untuk menyediakan sistem yang dapat digunakan DPRD untuk memberikan masukan. Metode penelitian adalah algoritma Text Mining dan Cosine Similarity. Hasil penelitian adalah Aplikasi menggunakan kombinasi metode text mining dan Cosine similarity mengukur kesamaan fungsional masing-masing komisi dengan aspirasi yang diinput oleh masyarakat sehingga aspirasi dapat tepat sasaran. Syarat penetapan multikomisi adalah harus ≥ 75% dari nilai maksimum.
Terapias farmacológicas para a neuralgia do trigêmeo: revisão de literatura
Authors: Gabriel Silva Ferreira Lucas , Rocha Rosa Isadora , De Cássia Silva de Oliveira Rita
Published: September 2022

Introdução. A neuralgia do trigêmeo é uma dor orofacial aguda e paroxística limitada a uma ou mais divisões do V nervo craniano com etiologia, em geral, pouco conhecida. Objetivo. Avaliar os tratamentos farmacológicos tradicionais e apresentar as novas alternativas atualmente difundidas. Método. Revisão de literatura em bases de dados limitada a artigos recentes publicados a partir de 2010. Resultados. 29 artigos foram incluídos, nos quais os antiepiléticos se revelam como principal farmacoterapia. Já como via alternativa vem se destacando a toxina botulínica, a lidocaína e a calcitonina. Discussão. As terapias convencionais apresentam efeitos adversos que muitas vezes são responsáveis pelo insucesso do tratamento, por isso novas vias farmacoterápicas são exploradas com o intuito de contornar os obstáculos das terapias convencionais. Conclusão. A individualidade do paciente e a relação risco-benefício são fatores que carecem de atenção para o sucesso e adesão do paciente ao tratamento.
DİŞ HEKİMLİĞİ ÖĞRENCİLERİ ARASINDA PREKLİNİK DERSLERİ SIRASINDA MEYDANA GELEN MESLEKİ YARALANMALARIN ARAŞTIRILMASI
Authors: ERASLAN Ravza , DURMAZ Özden Melis , KILIÇ Duygu
Published: September 2022

Diş hekimliği fakültelerinde, klinik öncesi eğitimi sırasında öğrencilerin yaşadığı mesleki yaralanmaları rapor etmeleri, bu raporlara göre problemlerin tespit edilmesi ve bu konularda öğrencilerin eğitilmesi son derece önemlidir. Bu nedenle, bu çalışmada diş hekimliği öğrencilerinin klinik öncesi eğitim dersleri sırasında maruz kaldıkları farklı yaralanmaların belirlenmesi amaçlandı. Birinci, ikinci ve üçüncü sınıf diş hekimliği öğrencilerine, klinik öncesi eğitim dersleri boyunca yaşadıkları yaralanmaların türü, yaralanma sayısı ve hangi klinik öncesi eğitim dersinde meydana geldiği ile ilgili isimsiz anketleri doldurmaları istendi. Anket bulgularının tanımlayıcı istatistikleri yapıldı. Öğrencilerin %63.4’ü en az bir kez klinik öncesi eğitim derslerinde yaralandıklarını bildirdi. Öğrencilerin % 8’i ise beş defadan fazla yaralandığını bildirdi. En sık karşılaşılan yaralanmanın, ispirto ocağı ile meydana gelen yanık durumu olduğu, en fazla yaralanmanın ise endodonti klinik öncesi eğitim derslerinde meydana geldiği tespit edildi. Öğrencilerin %12,1’inin hepatit B aşısı olduğu belirlendi. Öğrencilerin sadece % 14.3’ünün yaralanma sonrasında durumu sorumlu öğretim üyesine bildirdiği görüldü. Bu çalışmanın bulgularına göre, klinik öncesi eğitim sırasında, öğrencilerde yaralanma görülme sıklığı yüksek bulundu. Yaralanmayı bildirme oranı ise oldukça düşüktür. Bu bilgilerin elde edilmesi, gelecekte bu tür yaralanmaların sayısını azaltmak adına gerekli önlemlerin alınması ve öğrencilerin bu konu ile ilgili farkındalıklarının artırılması için yararlı olabilir.
ADENOSINE DEAMINASE ACTIVITY IN PATIENTS WITH ANKYLOSING SPONDYLITIS
Authors: GUNTURK Inayet , ERSOY Emre , SEYDEL Gönül Şeyda , ERŞAN Serpil , SARI İsmail , YAZICI Cevat , KÖSE Kader
Published: September 2022

Although the pathogenesis of ankylosing spondylitis (AS), which is a systemic disease characterized by inflammation, is largely unknown, pro-inflammatory mediators, oxidative stress, and immunity are thought to be involved in the development and the prognosis of the disease. It was aimed in this study to reveal activities of adenosine deaminase (ADA), a cornerstone enzyme in different pathways. Twenty nine AS patients and 16 healthy volunteers were included in the study. Patients were divided into two groups as active and inactive phases. Additionally, the patients were re-grouped according to axial/peripheral involvement. ADA and myeloperoxidase (MPO) activities, and advanced oxidation protein products (AOPP) levels were measured in plasma of the study groups. While the significant increases were observed in AOPP and MPO levels in AS patients compared to the control group, when the patients were divided into subgroups, only ADA was significantly decreased in active patients. On the other hand, there was no significant difference in AOPP, MPO, and ADA levels in groups created according to axial/peripheral involvement. Based on these findings, it is thought that the decrease in ADA levels in AS patients can give an idea about the prognosis of the disease and can be used as an activity marker.
Keywords: Adenosine deaminase, advanced oxidation protein products, ankylosing spondylitis, autoinflammation, myeloperoxidase.
DİBUTİL FTALATIN İNSAN AKCİĞER HÜCRE HATTINA OLASI TOKSİK ETKİLERİNİN DEĞERLENDİRİLMESİ VE ASKORBİK ASİT VE N-ASETİLSİSTEİNİN OLASI KORUYUCU ETKİLERİ
Authors: KARAMAN Gamze , BALCI Aylin , TAN Erhan , YİRÜN Anıl , SUR Ünzile , KOÇER GÜMÜŞEL Belma , ERKEKOĞLU Pınar
Published: September 2022

Endokrin bozucu kimyasallar (EBK’ler), hormonların üretimini, salınımını, biyotransformasyonunu ve/veya atılımını etkileyen sentetik veya doğal kimyasal maddelerdir. Dibutilftalat (DBP) endüstride birçok alanda yaygın olarak kullanımı olan bir ftalat türevidir. Literatürde DBP'nin testiküler ve hepatik toksisitesine dair veriler olmakla birlikte, akciğer toksisitesi üzerinde çok az sayıda çalışma bulunmaktadır. Ayrıca, DBP’nin akciğer toksisite mekanizmaları bilinmemektedir. Bu çalışmada, DBP’nin insan küçük hücreli olmayan akciğer kanseri hücre kültürleri (A549 hücreleri) üzerinde olası sitotoksik ve oksidatif stres oluşturucu etkilerinin değerlendirilmesi amaçlanmıştır. Bu kapsamda, A549 hücrelerinde DBP’nin inhibitör konsantrasyon 30 (IC30) dozu belirlenmiş, IC30 dozunun neden olduğu intraselüler reaktif oksijen türleri (ROS)’u arttırıcı etkisi değerlendirilmiştir. Ayrıca, DBP’nin yol açtığı olası lipit peroksidasyon ve protein oksidasyonu incelenmiş, glutatyon (GSH) ve total antioksidan kapasitede (TAOC) düzeylerinde yol açabileceği olası değişiklikler belirlenmiştir. Çalışmada DBP'nin olası toksik etkilerine karşı askorbik asit (Asc) ve N-asetil sisteinin (NAC) olası koruyucu etkileri incelenmiştir. Hem NAC, hem de Asc’nin DBP uygulamasıyla beraber ROS düzeylerini düşürdüğü, protein oksidasyonunu azalttığı, total GSH düzeylerini yükselttiği ve azalan oksidatif strese bağlı olarak her iki antioksidanın da TAOC düzeylerini düşürdüğü belirlenmiştir. Elde edilen bilgiler doğrultusunda, DBP’nin toksik etki mekanizmasının altında yatan nedenlerden birinin oksidatif stres olduğu anlaşılmıştır. Ayrıca, Asc ve NAC’ın DBP’nin neden olduğu oksidatif strese karşı koruyucu oldukları saptanmıştır.