bluuebunny/crossref_metadata_2025 huggingface dataset:
The Role of Consumers in Business Model Innovations for a Sustainable Circular Bioeconomy
Authors: Lang Stephanie , Minnucci Giulia , Mueller Matthias , Schlaile Michael P.
Published: June 2023

Over the last decade, various governments and supranational bodies have promoted the development of a circular bioeconomy (CBE) as a response to sustainability challenges. The transition towards a CBE requires the collaboration of different actors in the innovation (eco)system. With this conceptual paper, we apply a circular business model lens to address the research question: “What are the archetypical roles of consumers in business model innovations for a sustainable CBE?” We use a combination of complementary theories from the circular economy and bioeconomy literature, evolutionary innovation economics, sustainability transitions research, the business model literature, and the work on active consumers. Considering consumers’ agency as a continuum between the manufacturer-active paradigm and the consumer-active paradigm, we propose: (i) consumers in the manufacturer-active paradigm can actively influence circular business models with their purchase decision; (ii) consumers can act as lobbyists and influencers for circular business model innovation; (iii) in their different roles as customer, user, repairer, and reseller, consumers can incentivize organizations to adapt their business models to their needs; (iv) consumers can become key partners in the process of defining the normative orientation of the innovation paradigm for a CBE; (v) consumers can actively co-create value by means of co-ownership (e.g., through platform cooperatives).
Analysis of the Impact of External Auditors’ Autonomy on Financial Accounting Information Quality Case Study Commercial Banks in Northern Iraq
Authors: Qader Khowanas , Cek Kemal
Published: June 2023

The purpose of this research is to determine how independent auditors affect the integrity of financial accounting data at commercial banks in northern Iraq. A total of 342 employees from commercial banks in Northern Iraq were surveyed using a quantitative research technique. The research uses structural equation modelling (SEM) to examine the hypothesis that the independence of external auditors improves the integrity of financial accounting information. The study’s findings indicate that financial accounting information quality in commercial banks in Northern Iraq is significantly affected by the independence of external auditors. This suggests that giving external auditors more leeway to do their jobs could boost the quality of financial accounting information at these institutions. Policymakers, auditors, and managers at commercial banks in northern Iraq can learn a lot from these results. In sum, this research adds to the existing body of work on the independence of external auditors and the accuracy of financial accounting information, with a focus on commercial banks in Northern Iraq. This research shows that increasing the independence and autonomy of external auditors in commercial banks could have positive effects on the quality of financial accounting information.
A Comprehensive Review on Energy Storage System Optimal Planning and Benefit Evaluation Methods in Smart Grids
Authors: Li Fan , Wang Dan , Liu Dong , Yang Songheng , Sun Ke , Liu Zhongjian , Yu Haoyang , Qin Jishuo
Published: June 2023

Smart grids are the ultimate goal of power system development. With access to a high proportion of renewable energy, energy storage systems, with their energy transfer capacity, have become a key part of the smart grid construction process. This paper first summarizes the challenges brought by the high proportion of new energy generation to smart grids and reviews the classification of existing energy storage technologies in the smart grid environment and the practical application functions of energy storage in smart grids. Secondly, optimization planning and the benefit evaluation methods of energy storage technologies in the three different main application scenarios, including the grid side, user side, and new energy side, are analyzed. The advantages and shortcomings of the current research are also pointed out. Furthermore, the paper sheds light on the pressing issues that demand further consideration in energy storage planning. Finally, the aspects that warrant attention in the future application and promotion processes are elucidated in detail, culminating in a comprehensive understanding of the energy storage technologies in smart grids.
An Overview and Countermeasure of Global Wave Energy Classification
Authors: Zheng Chongwei
Published: June 2023

Wave energy will be an important support to deal with the energy crisis of human society. A scientific energy classification scheme is a prerequisite support for the macro-scale optimized layout, micro-scale accurate site selection and a blueprinting of development routes for wave energy. Based on the indicator considered, this study first divides the global wave energy classification into three stages: preliminary exploration stage, mid-term development stage and relatively mature stage, and then sorts out the main strengths and weaknesses of each stage. It is found that the current classification scheme has six typical bottlenecks such as inconsistency with physical mechanisms, inability to meet the needs of diverse tasks, inapplicability in some seasons/months, etc. To effectively address them, a dynamic adaptive wave energy classification scheme is proposed, which can consider all elements, is suitable for diverse tasks, is available at all times and is applicable to all regions. Based on this, the concepts of absolute and relative classes, a dynamic mapping of wave energy classification, and a future energy classification are proposed, with the expectation of promoting the industrialization and scaling of wave energy.
A Method Based on NGO-HKELM for the Autonomous Diagnosis of Semiconductor Power Switch Open-Circuit Faults in Three-Phase Grid-Connected Photovoltaic Inverters
Authors: Xu Xiao , Zhang Teng , Qiu Ziwen , Gao Hui , Zhu Sanli
Published: June 2023

With accelerating grid decarbonization and technological breakthroughs, grid-connected photovoltaic (PV) systems are continuously connected to distribution networks at all voltage levels. As the grid interaction interfaces between PV panels and the distribution network, PV inverters must operate flawlessly to avoid energy and financial losses. As the failure of semiconductor switches is the leading cause of abnormal operation of PV inverters and typically cannot be detected by internal protection circuits, this paper aims to develop a method for the autonomous diagnosis of semiconductor power switch open-circuit faults in three-phase grid-connected PV inverters. In this study, a ReliefF-mRMR-based multi-domain feature selection method is designed to ensure the completeness of the fault characteristics. An NGO-HKELM-based classification method is proposed to guarantee the desired balance between generalization and exploration capability. The proposed method overcomes the common problems of poor training efficiency and imbalances between generalization and exploration capabilities. The performance of the proposed method is verified with the detection of switch OC faults in a three-phase H-bridge inverter and neutral-point-clamped inverter, with diagnostic accuracy of 100% and 99.46% respectively.
Energy Accumulation Characteristics and Induced Rockburst Mechanism of Roadway Surrounding Rock under Multiple Mining Disturbances: A Case Study
Authors: Ma Zhenkai , Li Sheng , Zhao Xidong
Published: June 2023

The source of energy release when rockburst occurs must be determined to understand the mechanisms underlying disaster formation and achieve accurate prevention and control. Although previous research has systematically investigated the energy source underlying rockburst from different perspectives, issues such as an unclear understanding of the energy accumulation state and inaccurate positioning of the energy release source remain to be resolved. In this study, the “1·17” major roof accident in the Danshuigou Mine was used as the background to evaluate and analyze the stress environment and energy accumulation characteristics of roadway surrounding rock under multiple mining disturbances, and the results showed that a super energy package occurs in the surrounding rock of the mining roadway. Subsequently, the evolution process of energy in this region and the mechanism of induced rockburst were elaborated. The results showed that the degree of stress concentration in the surrounding rock of the roadway will increase several times as the number of mining disturbances increases. Under the influence of multiple mining disturbances, the maximum principal stress peak of the surrounding rock of the roadway can reach 5–10 times the maximum principal stress value outside the mining-affected area. A large amount of elastic energy was accumulated in the rock surrounding the roadway, and super-high-density energy packages were formed locally. The maximum energy density value reached 50–185 times the value observed in areas outside the mining-affected zone. Thus, rockburst may be induced when the large amount of energy accumulated in the super energy package is suddenly and violently released; moreover, the degree of energy accumulation in the super energy package is likely closely related to the magnitude of rockburst. These results have important theoretical significance and application value for clarifying the mechanism of rockburst and improving the effectiveness of rockburst prediction and prevention.
A Systemic Approach to Simulate the Construction Process of Self-Supporting Masonry Structures
Authors: Paris Vittorio , Ruscica Giuseppe , Olivieri Carlo , Mirabella Roberti Giulio
Published: June 2023

The building sector has a significant impact on the environment due to its unproductive and technologically outdated practices. Although digital tools have emerged as potential solutions, current building practices often lack automation and efficiency. Throughout history, several self-supporting techniques, i.e., construction methods dedicated to the building of shells that do not need support during the construction works, have been developed. These techniques allow for reducing waste and minimizing construction costs. Combining self-supporting techniques and digital tools could aid the development of contemporary, highly sustainable, and efficient building practices that permit the use of alternative and sustainable materials. Building on this, the research conducted defines an approach for evaluating the balanced state of masonry structures during construction works and built using robotic technologies. The approach considers the factors that govern the stability under construction derived through studying self-supporting building techniques. The proposed approach assesses the structural state under construction, evaluating the need for temporary supports. An example of a masonry arch is provided to emphasize the importance of construction factors in sustainable building practices. Then the method is applied to a real case study. Overall, integrating self-supporting techniques with digital tools has the potential to revolutionize the building sector, and create highly sustainable and efficient practices.
Integration as a Driver of Enterprise Sustainability: The Russian Experience
Authors: Shmeleva Nadezhda , Tolstykh Tatyana , Dudareva Olga
Published: June 2023

The current geopolitical map, facing challenges and disruptions to industrial-technological relations, requires transformation the processes of interaction between economic agents and the building of collaborative links through the implementation of ecosystem models. The aim of the article is to assess the resilience of industrial ecosystems by determining the collaborative maturity, resource stability and technological resilience of actors. The article presents a typology of integration forms between industrial enterprises based on symbiotic relationships. The concept of ecosystem symbiosis is introduced. The authors propose a methodology for assessing industrial ecosystem sustainability, distinguished by the approach to the formation of an integral indicator consisting of three components: stability (invulnerability), resilience (reliability) and ecosystem (coherence). The composite index method, fuzzy sets method, preference ordering by similarity to the ideal solution, rank sum method, fuzzy k-means clustering method, least squares method, Gaussian method, and variance and multiple regression analyses were used in developing the methodology for stability assessment. The approach is demonstrated by the example of three industrial ecosystems in the Voronezh, Belgorod and Lipetsk regions of the Russian Federation. As a result of the analysis, it was found that ecosystem’s sustainability was achieved, primarily due to the factors of resilience and reliability, which had the maximum impact on the integrated sustainability indicator. The propositions arising from this analysis provide information on the industrial integrations with the highest and the lowest sustainability, to provide academics, policymakers and industrial enterprises with a more adequate understanding of the practical mechanisms that help trigger sustainable development.
Snake Antivenoms—Toward Better Understanding of the Administration Route
Authors: Gamulin Erika , Mateljak Lukačević Sanja , Halassy Beata , Kurtović Tihana
Published: June 2023

Envenomations induced by animal bites and stings constitute a significant public health burden. Even though a standardized protocol does not exist, parenterally administered polyclonal antivenoms remain the mainstay in snakebite therapy. There is a prevailing opinion that their application by the i.m. route has poor efficacy and that i.v. administration should preferentially be chosen in order to achieve better accomplishment of the antivenom therapeutic activity. Recently, it has been demonstrated that neutralization not only in the systemic circulation but also in the lymphatic system might be of great importance for the clinical outcome since it represents another relevant body compartment through which the absorption of the venom components occurs. In this review, the present-day and summarized knowledge of the laboratory and clinical findings on the i.v. and i.m. routes of antivenom administration is provided, with a special emphasis on the contribution of the lymphatic system to the process of venom elimination. Until now, antivenom-mediated neutralization has not yet been discussed in the context of the synergistic action of both blood and lymph. A current viewpoint might help to improve the comprehension of the venom/antivenom pharmacokinetics and the optimal approach for drug application. There is a great need for additional dependable, practical, well-designed studies, as well as more practice-related experience reports. As a result, opportunities for resolving long-standing disputes over choosing one therapeutic principle over another might be created, improving the safety and effectiveness of snakebite management.
Impact of Future Climate and Land Use Changes on Runoff in a Typical Karst Basin, Southwest China
Authors: Mo Chongxun , Bao Mengxiang , Lai Shufeng , Deng Juan , Tang Peiyu , Xing Zhenxiang , Tang Gang , Li Lingguang
Published: June 2023

Climate change and land use change are the two main factors affecting the regional water cycle and water resources management. However, runoff studies in the karst basin based on future scenario projections are still lacking. To fill this gap, this study proposes a framework consisting of a future land use simulation model (FLUS), an automated statistical downscaling model (ASD), a soil and water assessment tool (SWAT) and a multi-point calibration strategy. This frameword was used to investigate runoff changes under future climate and land use changes in karst watersheds. The Chengbi River basin, a typical karst region in southwest China, was selected as the study area. The ASD method was developed for climate change projections based on the CanESM5 climate model. Future land use scenarios were projected using the FLUS model and historical land use data. Finally, the SWAT model was calibrated using a multi-site calibration strategy and was used to predict future runoff from 2025–2100. The results show that: (1) the developed SWAT model obtained a Nash efficiency coefficient of 0.83, which can adequately capture the spatial heterogeneity characteristics of karst hydro-climate; (2) land use changes significantly in all three future scenarios, with the main phenomena being the interconversion of farmland and grassland in SSPs1-2.6, the interconversion of grassland, farmland and artificial surfaces in SSPs2-4.5 and the interconversion of woodland, grassland and artificial surfaces in SSPs5-8.5; (3) the average annual temperature will show an upward trend in the future, and the average annual precipitation will increase by 11.53–14.43% and (4) the future annual runoff will show a significant upward trend, with monthly runoff mainly concentrated in July–September. The variability and uncertainty of future runoff during the main-flood period may increase compared to the historical situation. The findings will benefit future water resources management and water security in the karst basin.
An Assessment of Potential Beam Trawling Impact on North-Western Black Sea Benthic Habitats Aiming at a Sustainable Fisheries Management
Authors: Nenciu Magda , Niță Victor , Teacă Adrian , Popa Adrian , Begun Tatiana
Published: June 2023

The North-Western Black Sea shelf is extremely vulnerable to disturbances of its habitats and ecosystems. In the past 10 years, this area has become targeted by beam trawl fisheries for the invasive gastropod Rapana venosa (Valenciennes, 1846), with a potentially destructive impact on the area’s soft bottoms. Not many studies have been performed in the region, and most investigations have focused on gear selectivity and by-catch rates. In this context, our novel research aimed, on the one hand, to assess and quantify the actual impact of beam trawling and, on the other hand, to propose effective spatial/temporal management measures for a sustainable zonation of the North-Western Black Sea shelf (marine zone of the Danube Delta Biosphere Reserve). The methodology used integrated beam trawl catch dynamics information, VMS data, geophysical investigations, and macrozoobenthos sampling. Our findings show that beam trawling activities can cause changes in the benthic habitat structure (lower number of taxa, lower values of ecological indicators, and an overall non-GES status). Further in-depth investigations are needed to underpin the ecosystem-based management of this marine protected area (MPA), aiming to allow the recovery of the affected benthic habitats, by alternating defined areas undergoing fishing with biological recovery polygons.
Investigating the Effects of Climate and Land Use Changes on Rawal Dam Reservoir Operations and Hydrological Behavior
Authors: Hassan Sharjeel , Masood Muhammad Umer , Haider Saif , Anjum Muhammad Naveed , Hussain Fiaz , Ding Yongjian , Shangguan Donghui , Rashid Muhammad , Nadeem Muhammad Umer
Published: June 2023

In order to assess the effects of climate change and land use change on Rawal Dam, a major supply of water for Rawalpindi and Islamabad, this study uses hydrological modeling at the watershed scale. The HEC-HMS model was used to simulate the hydrological response in the Rawal Dam catchment to historical precipitation. The calibrated model was then used to determine how changes in land use and climate had an impact on reservoir inflows. The model divided the Rawal Dam watershed into six sub-basins, each with unique features, and covered the entire reservoir’s catchment area using data from three climatic stations (Murree, Islamabad Zero Point and Rawal Dam). For the time spans of 2003–2005 and 2006–2007, the model was calibrated and verified, respectively. An excellent fit between the observed and predicted flows was provided by the model. The GCM (MPI-ESM1-2-HR) produced estimates of temperature and precipitation under two Shared Socioeconomic Pathways (SSP2 and SSP5) after statistical downscaling with the CMhyd model. To evaluate potential effects of climate change and land use change on Rawal Dam, these projections, along with future circumstances for land use and land cover, were fed to the calibrated model. The analysis was carried out on a seasonal basis over the baseline period (1990–2015) and over future time horizon (2016–2100), which covers the present century. The findings point to a rise in precipitation for both SSPs, which is anticipated to result in an increase in inflows throughout the year. SSP2 projected a 15% increase in precipitation across the Rawal Dam catchment region until the end of the twenty-first century, while SSP5 forecasted a 17% increase. It was determined that higher flows are to be anticipated in the future. The calibrated model can also be utilized successfully for future hydrological impact assessments on the reservoir, it was discovered.
Analysis of Performance Pattern of individuals through different exercises with diversified BMI Score
Authors: Alvi Muneeb , Hasib Ansharah , Faiz Mehwish , Bullo Saifullah , Naqvi Ayan , Rehan Sana , Nasim Shahzad
Published: June 2023

BMI is the key for the indication of body fat as it gives a determination of whether the individual is healthy on the basis of their height and weight. Moreover, BMI in a healthy range is linked with the reduction of many diseases such as diabetes, cardiac disease, heat stroke, and much more. So, one should understand and maintain their BMI to improve their health and lifestyle. Physical activities have a substantial influence on BMI, different physical exercises on a regular basis can help people lose extra body fat and keep a healthy weight. When a person participates in physical exercise, they burn calories and improve their metabolism. In this comparative analysis, the research aims to study physical inactivity among male and female young adults based on BMI. Participants completed three exercises and their results were recorded for comparison and further analysis. The outcomes show that total performance and BMI have an inverse association. There was also a trend of a roughly linear decline in efficiency for BMIs after a BMI score of 23 (Males) AND 25 (Females) down to 31.
COMPARATIVE ANALYSIS OF THE STRUCTURE AND PHASE COMPOSITION OF HIGH-STRENGTH CERAMIC PRODUCTS
Authors: Horina A. , Shelkovnikova T.
Published: June 2023

In the course of the conducted studies, the phase components of clinker bricks and porcelain stoneware are determined by X-ray phase analysis. Microstructures of the studied samples are studied using a scanning electron microscope. The analysis of the phase composition and microstructure of the shard allows determining the qualitative and quantitative characteristics of the shapes and sizes of crystals, the X-ray amorphous phase, the structure of porosity, to establish the relationship between the structure and high physical and mechanical parameters. To obtain products with high strength, it is necessary to form a monolithic structure of a ceramic shard, represented by a framework of crystalline neoplasms connected by an X-ray amorphous phase. Quartz crystals 55-65%, mullite 9-12%, cristobalite 4 – 8%, leucite 4 – 7%, hematite 1 – 4%, etc. are fixed in samples of high–strength building ceramics. Due to the different production technologies of clinker bricks and porcelain stoneware, the crystallization of mullite of various types occurs: in clinker – needle-shaped habit, in porcelain stoneware – finely dispersed. It is found that the pores have a rounded closed shape of nano- and micrometer size from 1 to 15 microns. The high content of melts in the charge for porcelain stoneware ensures the formation of a large amount of amorphous phase and its homologation of crystalline neoplasms
VERIFICATION OF CORE AND SOLID-STATE MODELS OF THE SCAD COMPUTING COMPLEX FOR THE CALCULATION OF REINFORCED-CONCRETE WAFFLE SLAB FLOOR SYSTEM
Authors: Mozgolov M. , Kozlova E.
Published: June 2023

In accordance with modern requirements for the design of buildings, designers are needed to use structural solutions that are resistant to progressive collapse. A space-working caisson-type overlap is one of such solutions. Spatial constructions are repeatedly statically indeterminate systems and their calculation is performed on a computer in software complexes based on the finite element method. A ribbed model can be created from various types of finite elements and get data that varies. One of the ways to control the finite element method is to calculate structures using different models. The purpose of the work is to search for the simplest and most accurate finite element model for calculating a ribbed reinforced concrete waffle slabs. The work is a continuation of verification studies of SCAD models for calculating reinforced concrete waffle slabs with a size of 9.0 x 11.55 m. The bending moments in the beams obtained by the analytical method using a rod model and a model created from three-dimensional elements are compared. The values of bending moments calculated analytically and using a solid-state model have similar values. The maximum deviations of the FEM from the analytical method of calculation are from -0.9 to +11.6%. The values of bending moments calculated using a solid-state model and a rod model have similar values. The maximum deviations range from -9.7 to +6.3%. The finite element model, the calculation of which is based on solving the volumetric problem of elasticity theory, is effective, but time-consuming to create and difficult to analyze the data obtained.
Assessing the Potential of Increasing Promotoras in Extension: Hispanic Balanced Living with Diabetes
Authors: Yu Ivette , Hosig Kathryn , Misyak Sarah
Published: June 2023

A sustainable Extension model for promoting health and managing lifestyle-related chronic diseases in Hispanic populations would help mitigate health disparities in Hispanic communities. Hispanic Balanced Living with Diabetes (HBLD) is a type 2 diabetes lifestyle management program that we tested in Virginia. Through postintervention focus group discussions, we assessed barriers faced by Hispanics when accessing health care services, satisfaction with HBLD, and feasibility of training members of the Hispanic community to become promotoras, individuals who help facilitate adoption of healthful behaviors. Incorporating native Spanish speakers as educators and promotoras will ensure culturally relevant delivery of lifestyle modification programs, accurate communication of information, and development of trust with participants.
Strategies for Enhancing University Extension's Role as an Agricultural Information Source
Authors: Houser Matthew , Denny Riva , Reimer Adam , Pyatt Sandra
Published: June 2023

In this article, we identify factors contributing to the low use of Extension as an information source for farm management decisions and make recommendations for how to increase use of Extension in the context of midwestern row crop agriculture. Results from our mixed-methods analysis show that conservative recommendations, declines in public funding, and the perception of "cutting-edge" private sector information contribute to low use of Extension. We recommend changes to Extension at system and ground levels that could potentially increase its use among farmers. As many of the issues facing farmers and Extension span the nation, our findings and recommendations likely apply to a number of geographic and agricultural contexts.
Educators Teach Effective Hand Washing with a Simplified Method
Authors: Buck Julie , Greenway Surine , Hoffman Katie , Wittman Grace
Published: June 2023

We conducted a study to determine the effectiveness of a 30-min hand-washing instruction among youths in kindergarten through fifth grade. Two months after implementing the instruction, we gathered survey data to assess knowledge gained and student behaviors. Results revealed that high proportions of youths in kindergarten through second grade (n = 90) were able to recognize various situations requiring hand washing and that majorities of youths in third grade through fifth grade (n = 172) tended to wash their hands at relevant times (e.g., after using the bathroom). Overall, we concluded that youths taught a 30-min hand-washing lesson reduced microbial counts on washed hands, maintained knowledge, and made positive behavior changes.
A Marketing Standpoint: What Marketers Can Teach Extension Professionals About Internet-Based Media
Authors: Whitaker Holly , Leggette Holli , Barbeau Shannon
Published: June 2023

Extension audiences are turning to Internet-based media for information Extension professionals traditionally have provided them. In a qualitative study, we sought to relate the Internet-based media strategies of marketing professionals to the needs of Extension professionals to increase Extension professionals' success in using Internet-based media. Extension professionals can more effectively engage modern Extension audiences by implementing four strategies: knowing the research, knowing what makes audiences tick, making changes based on measurable data, and increasing the effectiveness of Internet-based media efforts.
Examining the Entrepreneurial Leadership Propensities of Extension Educators
Authors: Sample Ashley , Mars Matthew , Rice Amber , Torres Robert
Published: June 2023

Innovation and entrepreneurship are integral to the development and vitality of contemporary communities and economies. Accordingly, entrepreneurial leadership is directly relevant to the Extension education mission. Yet research examining the entrepreneurial leadership propensities of Extension educators is scant. We applied a survey design to analyze the entrepreneurial leadership propensities of Extension educators throughout Arizona using two constructs: innovation and entrepreneurial strategy. The data revealed modest levels of entrepreneurial leadership propensities across the sample. Recommendations aimed at enhancing the entrepreneurial leadership propensities of Extension educators are provided.
Facile Preparation of Graphene-Modified Magnetic Nanoparticles and Their Application in the Analysis of Four Anti-depressant Drugs in Plasma and Urine
Authors: Farajzadeh Mir Ali , Barazandeh Sanaz , Pezhhanfar Sakha , Afshar Mogaddam Mohammad Reza
Published: June 2023

Background: Anti-depressants are used to treat depression and some anxiety and personality disorders. In this study, a magnetic sorbent was prepared for the extraction of some anti-depressant drugs from plasma and urine samples. In order to extract the target compounds from the samples, magnetic Fe3 O4 nanoparticles coated with graphene were used as the sorbent. Methods: Vibrating sample magnetometry, scanning electron microscopy, energy dispersive X-ray spectroscopy, Brunauer–Emmett–Teller nitrogen sorption/desorption analysis, Fourier transform infrared spectroscopy, and X-ray diffraction were applied to investigate the synthesized sorbent. First, an ammoniacal solution of the target compounds was exposed to the sorbent for the adsorption purpose. It was facilitated by vortexing. Then, by using an external magnetic field, the sorbent particles containing the adsorbed analytes were separated from the solution. Acetonitrile was used to desorb the analytes from the sorbent. Then, the eluate containing the analytes was separated from the sorbent in the presence of an external magnetic field, mixed with 1,1,2-trichloroethane (at µL-level), and quickly injected into the ammoniacal solution containing dissolved KCl. After centrifuging the formed cloudy solution, an aliquot of the sedimented organic phase was injected into a gas chromatograph equipped with mass spectrometer. Results: Low limits of detection (LODs) and quantification were obtained in the ranges of 0.66- 1.03 and 2.1-3.4 ng/mL, respectively. The method led to acceptable extraction recoveries (55- 66%), high enrichment factors (214-275), good repeatability (relative standard deviation≤5.7% for intra- and inter-day precisions), and good linearities of the calibration curves (r2≥0.996). Conclusion: The proposed method can be applied for the successful extraction of anti-depressant drugs from plasma and urine samples.
Pemetaan Kasus Tuberkulosis di Provinsi Sulawesi Selatan Tahun 2020 Menggunakan Model Bayesian Spasial BYM dan Leroux
Authors: Aswi A. , Sukarna S. , Nurhilaliyah N.
Published: June 2023

Tuberkulosis (TBC) merupakan penyakit menular yang merupakan salah satu dari sepuluh penyebab utama kematian di dunia. Indonesia merupakan negara yang menempati urutan tertinggi kedua penderita TBC di dunia. Tujuan dari penelitian ini adalah untuk mengidentifikasi area dengan risiko relatif (RR) tinggi TBC maupun rendah dengan menggunakan model Bayesian spasial Conditional Autoregressive (CAR) Besag-York-Molliѐ (BYM) dan Leroux. Data kasus TBC di setiap 24 kabupaten/kota di provinsi Sulawesi Selatan tahun 2020 digunakan. Model terbaik dipilih berdasarkan tiga kriteria yaitu Deviance Information Criteria (DIC) dan Watanabe Akaike Information Criteria (WAIC). Dari hasil analisis, diperoleh bahwa model Bayesian Spasial CAR BYM dan CAR Leroux dengan hyperprior IG (0,5; 0,0005) merupakan model terbaik yang memiliki nilai RR yang sama. Kota Makassar merupakan wilayah dengan nilai RR tertinggi (1,70) yang mengindikasikan bahwa Kota Makassar memiliki risiko TBC 70% lebih tinggi dari rata-rata. Sebaliknya, Kabupaten Toraja memiliki risiko TBC terendah (0,43) yang menunjukkan bahwa Toraja memiliki risiko TBC 43% lebih rendah dari rata-rata.Kata Kunci: Tuberkulosis, Bayesian, spasial CAR, BYM, Leroux Tuberculosis (TB) is an infectious disease that is one of the ten leading causes of death in the world. Indonesia is a country with the second-highest number of TB sufferers in the world. This study aims to identify areas with a high and low relative risk (RR) of TB by using the Bayesian Spatial Conditional Autoregressive (CAR) Besag-York-Molliѐ (BYM) and Leroux models. TB case data in every 24 districts/cities in South Sulawesi province in 2020 is used. The best model was selected based on three criteria, namely Deviance Information Criteria (DIC) and Watanabe Akaike Information Criteria (WAIC). The results show that the Bayesian Spatial CAR BYM and CAR Leroux with hyperprior IG (0.5; 0.0005) are the best models that have the same RR value. Makassar City is the area with the highest RR value (1.70) which indicates that Makassar City has a TB risk 70% higher than the average. On the other hand, the Toraja district has the lowest TB risk (0.43) which indicates that Toraja has a TB risk 43% lower than the average.
Solusi Persamaan Adveksi-Difusi dengan Metode Dekomposisi Adomian Laplace
Authors: Abdy Muhammad , Wahyuni Maya Sari , Awaliyah Narisa Fahira
Published: June 2023

Artikel ini membahas tentang solusi dari persamaan adveksi-difusi. Persamaan adveksi-difusi merupakan persamaan matematis yang didesain untuk mempelajari fenomena transpor polutan. Pada artikel ini, metode yang digunakan untuk menentukan solusi persamaan adveksi-difusi yaitu metode dekomposisi Adomian-Laplace. Metode dekomposisi Adomian Laplace adalah salah satu metode yang dapat digunakan untuk menyelesaikan persamaan diferensial yang mengkombinasikan metode transformasi Laplace dan metode dekomposisi Adomian. Solusi persamaan adveksi-difusi diperoleh dengan menerapkan tranformasi laplace pada persamaan adveksi-difusi, mensubtitusi syarat awal, menyatakan solusi dalam bentuk deret tak hingga, menentukan suku-sukunya, dan menerapkan invers transformasi Laplace pada suku-suku dari deret tak hingga tersebut. Hasil dari tulisan ini adalah solusi persamaan adveksi-difusi dapat diperoleh dengan metode dekomposisi Adomian Laplace.Kata Kunci: Persamaan Diferensial, Persamaan Adveksi-Difusi, Metode Dekomposisi Adomian Laplace.This paper discusses about the solution of advection-diffusion equation. The advection-diffusion equation is a mathematical equation designed to study the phenomenon of pollutant transport. This paper is using Laplace Adomian Decomposition method to solve the advection-diffusion equation. The Laplace Adomian decomposition method is one of method which can be used to solve a differential equation that combines Laplace transform method and Adomian decomposition method. The solution is obtained by applying the Laplace transform to the advection-diffusion equation, substituting the initial conditions, converting the solution into the form of an infinite series, determining the terms, and applying the inverse Laplace transform to the terms of the infinite series. The results of this paper is the advection-diffusion equation can be solved by using Adomian Laplace decomposition method.Keywords: Differential Equation, Advection-Diffusion Equation, Laplace Adomian Decomposition Method.
Identifikasi Sebaran Karakteristik Kriminal di Indonesia Tahun 2021 Menggunakan Model-Based Clustering
Authors: Chrisinta Debora , Gelu Leonard Peter , Baso Budiman
Published: June 2023

Kriminalitas merupakan suatu aspek yang mempengaruhi kelancaran perekonomian dalam masyarakat. Pentingnya peranan pemerintah dalam meminimalisir terjadinya kriminalitas dapat dilakukan dengan mengetahui sebaran karakteristik kriminalitas yang ada di setiap provinsi. Metode Model-Based Clustering  dapat membantu mengidentifikasi karakteristik tersebut. Proses Clustering dilakukan dengan memastikan terlebih dahulu sebaran peubah mendekati sebaran normal dilihat dari QQplot dan kebebasan antar peubah. Hasil Clustering menunjukkan bahwa terdapat dua karakteristik kriminalitas yang tersebar di provinsi Indonesia. Identifikasi karakteristik sebaran kriminalitas menggunakan nilai rata-rata pada masing-masing cluster optimal yang sudah didapatkan. Cluster pertama menunjukkan sebaran 16 provinsi dengan kategori kriminalitas cenderung lebih rendah, sedangkan cluster kedua menunjukkan sebaran 18 provinsi dengan kategori kriminalitas tinggi.
Penerapan K-Means Clustering dalam Pengelompokan Data (Studi Kasus Profil Mahasiswa Matematika FMIPA UNM)
Authors: Zaki Ahmad , Irwan Irwan , Sembe Imanuel Agung
Published: June 2023

Penelitian ini adalah penelitian terapan yang bertujuan untuk mengetahui cluster yang ada pada mahasiswa jurusan Matematika FMIPA UNM menggunakan K-Means Clustering. Metode penelitian ini adalah studi literatur. Hasil penelitian diperoleh 4 cluster dimana durasi belajar mandiri dan IPK dari tertinggi ke terendah berturut-turut adalah Cluster 1, Cluster 2, Cluster 4, dan Cluster 3. Cluster 1 didominasi mahasiswa SBMPTN, Semester 3, dengan rata-rata berumur 19,20 tahun, durasi belajar mandiri 2,49 jam, 23,97 SKS, IPS 3,69, dan IPK 3,67.  Cluster 2 didominasi mahasiswa SBMPTN, Semester 1, dengan rata-rata berumur 18,08 tahun, durasi belajar mandiri 2,07 jam, 22 SKS, dan IPK 3,63. Cluster 4 didominasi mahasiswa MANDIRI, Semester 5, dengan rata-rata berumur 19,78 tahun, durasi belajar mandiri 1,89 jam, 21,62 SKS, IPS 3,48, dan IPK 3,36. Cluster 3 didominasi mahasiswa SBMPTN dan IPS 3,64, SNMPTN bersama-sama, Semester 3, dengan rata-rata berumur 18,52 tahun, durasi belajar mandiri 1,29 jam, 21,87 SKS, IPS 3,13, dan IPK 3,19. Variabel yang paling berpengaruh dalam pembentukan cluster secara berturut-turut adalah Semester, Jumlah SKS, IPK, Umur, IPS, Rata-rata Durasi Belajar Mandiri, dan Jalur Masuk.   Kata Kunci: Cluster, K-Means Clustering, IPK, Durasi Belajar Mandiri.This research is an applied research that aims to determine the existing clusters in students majoring in Mathematics FMIPA UNM using K-Means Clustering. This research method is literature study. The results obtained 4 clusters where the duration of self-study and the GPA from the highest to the lowest were Cluster 1, Cluster 2, Cluster 4, and Cluster 3. Cluster 1 was dominated by SBMPTN students, Semester 3, with an average age of 19.20 years, duration of independent study 2.49 hours, 23.97 course credits, IPS 3.69, and IPK 3.67. Cluster 2 is dominated by SBMPTN students, Semester 1, with an average age of 18.08 years, independent study duration 2.07 hours, 22 course credits, IPS 3.64, and IPK 3.63. Cluster 4 is dominated by MANDIRI students, Semester 5, with an average age of 19.78 years, duration of independent study 1.89 hours, 21.62 course credits, IPS 3.48, and IPK 3.36. Cluster 3 is dominated by SBMPTN and SNMPTN students together, Semester 3, with an average age of 18.52 years, duration of independent study 1.29 hours, 21.87 course credits, IPS 3.13, and IPK 3.19. The most influential variables in the formation of clusters are Semester, Number of Course Credits, IPK, Age, IPS, Average Duration of Independent Study, and Pathway.Keywords: Cluster, K-Means Clustering, IPK, Duration of Independent Learning
Pemodelan Laju Kematian Pasien Covid-19 di RSUD Abdul Wahab Sjahranie Samarinda menggunakan Model Regresi Weibull
Authors: Azizah Nur - , Suyitno Suyitno , Hayati Memi Nor
Published: June 2023

Model regresi Weibull adalah pengembangan dari distribusi Weibull, yakni distribusi Weibull yang dipengaruhi langsung oleh kovariat. Model-model regresi Weibull yang dibahas pada penelitian ini adalah model regresi survival Weibull dan regresi hazard Weibull. Model regresi Weibull pada penelitian ini diaplikasikan pada data waktu pasien penderita penyakit COVID-19 di RSUD Abdul Wahab Sjahranie Samarinda tahun 2021. Event penelitian ini adalah kematian pasien COVID-19. Tujuan penelitian ini adalah mengetahui model regresi survival Weibull dan regresi hazard Weibull pada data waktu rawat inap pasien penderita penyakit COVID-19, mengetahui faktor-faktor yang berpengaruh terhadap peluang pasien tidak meninggal (survive)  dan laju kematian pasien penderita penyakit COVID-19, serta mengetahui interpretasi model regresi survival Weibull dan regresi hazard Weibull. Metode penaksiran parameter adalah Maximum Likelihood Estimation (MLE). Pengujian hipotesis parameter terdiri dari pengujian hipotesis parameter secara serentak dan secara parsial. Kesimpulan penelitian adalah penaksir Maximum Likelihood (ML) diperoleh menggunakan metode Iteratif Newton-Raphson. Berdasarkan pengujian hipotesis, faktor-faktor yang berpengaruh terhadap peluang tidak meninggal (survive) dan laju kematian pasien penyakit COVID-19 di RSUD Abdul Wahab Sjahranie Samarinda adalah saturasi oksigen.Kata Kunci: Iteratif Newton-Raphson, Regresi Hazard Weibull, Regresi Survival Weibull, MLE, Penyakit COVID-19. The Weibull regression model is the development of the Weibull distribution, namely the Weibull distribution which is affected directly by the covariates. The Weibull regression models discussed in this study are the Weibull survival regression model and the Weibull hazard regression model. The Weibull regression model in this study was applied to data of COVID-19 patients hospitalization time at the Abdul Wahab Sjahranie Hospital in Samarinda 2021. The event of this study was the death of the COVID-19 patients. The purpose of this study was to determine the Weibull survival regression model and Weibull hazard regression to data of COVID-19 patients hospitalization time, to know the factors that influence the chance of patients survive and the mortality rate of COVID-19 patients, and to interpret of the Weibull survival regression and Weibull hazard regression model. The parameter estimation method was Maximum Likelihood Estimation (MLE). Hypothesis parameter testing consists of parameter testing simultaneously and partially. Conclusion of this study that the Maximum Likelihood (ML) estimator was obtained using the Newton-Raphson iterative method. Based on hypothesis testing, the factors affecting the chance of survive and the mortality rate of COVID-19 patients at the Abdul Wahab Sjahranie Hospital Samarinda is oxygen saturation.Keywords: Newton-Raphson Iterative, Hazard Weibull Regression, Survival Weibull Regression, MLE, COVID-19.
Implementasi K-Means pada Klasterisasi Jenis Disabilitas
Authors: Dwiana Fadiah Irine , Utami Wika Dianita , Hamid Abdulloh , Asih Sri
Published: June 2023

Penyandang disabilitas memerlukan bantuan dari pihak yang berwenang guna mendukung aktivitas para penyandang disabilitas. Jenis disabilitas antara lain cacat tubuh, tuna netra, tuna wicara dan gangguan mental. Penelitian ini bertujuan untuk mengklasterkan disabilitas per kecamatan di Kabupaten Sidoarjo menurut jenis disabilitas menggunakan metode K-Means. Data yang digunakan adalah data jumlah disabilitas bulan Januari sampai Agustus tahun 2022. Analisis klaster ini menghasilkan empat klaster optimal dengan nilai silhouette coefficient tertinggi yaitu 0,33. Hasil analisis penelitian ini terbentuk 4 klaster pada klaster pertama yaitu 4 kecamatan dengan jumlah disabilitas sangat tinggi, klaster kedua yaitu 4 kecamatan dengan jumlah disabilitas tinggi, klaster ketiga hanya 1 kecamatan dengan jumlah disabilitas sedang, klaster keempat yaitu 5 kecamatan dengan jumlah disabilitas rendah.Kata Kunci: Disabilitas, Analisis Klaster, Metode K-Means, Silhoutte Coefficient.
Portofolio Efisien Model Markowitz dengan Kendala Proporsi Aset Positif dan Target Return yang Ditentukan
Authors: Nurwahidah Nurwahidah , Hasan Asriani , Kurniati MA Ratnah
Published: June 2023

Rational investors tend to diversify their asset for reducing investment risk. Markowitz portfolio model can be an investment strategy to minimize risk and maximize return of investment. This study establishes the Markowitz model portfolio with positive asset weight constraints and determined target returns. Quadratic programming is an approach used to determine the proportion of each stock in the portfolio. Therefore, 5 efficient portfolios with less risk level than individual stocks are obtained. The results of the performance measurement stated that the portfolio with asset centered proportion on BYAN had the best performance. It is due to the high expected returns and low level of risk measurement.
РОЛЬ ДИТЯЧОЇ УКРАЇНСЬКОЇ ХУДОЖНЬОЇ ЛІТЕРАТУРИ У ВИХОВАННІ ДУХОВНОСТІ ЗДОБУВАЧІВ ОСВІТИ СТАРШОГО ПІДЛІТКОВОГО ВІКУ
Authors: Мельникович Галина
Published: June 2023

У статті висвітлено питання значимості ролі дитячої української художньої літератури у вихованні духовності здобувачів освіти старшого підліткового віку засобами художнього слова під час уроків літератури. В умовах сьогодення проблема виховання духовності здобувачів освіти старшого підліткового віку в закладах загальної середньої освіти є вкрай складною. Актуальності цій проблемі додають негаразди соціально-політичної ситуації в сучасних умовах, що загострили й без того значні прогалини у моральному вихованні молодого покоління.

Проаналізовано художні особливості дитячої літератури як складової літературної освіти і як фактора ефективності процесу виховання духовних орієнтирів здобувачів освіти старшого підліткового віку. Схарактеризовано специфіку виховного впливу сучасної художньої української підліткової літератури на формування духовності школярів старшого підліткового віку в освітній діяльності. Доведено, що вчителю літератури варто спрямовувати урок не лише на вивчення здобувачами освіти старшого підліткового віку самого твору, а й на засвоєння автобіографічних фактів із життя письменників як визначних постатей, здатних виховувати в здобувача освіти національну гідність, бажання наслідувати їх вчинки, бути духовними послідовниками

Наголошено на особливостях літературних творів для дітей і про дітей у формуванні духовності здобувачів освіти старшого підліткового віку в закладах загальної середньої освіти. Підкреслено, що дитяча література може мати виховний вплив лише в тому разі, коли вона буде осмислена читачем, коли духовні орієнтири письменника допоможуть здобувачу освіти усвідомити себе як духовну особистість.

Акцентовано увагу на методичних вимогах до проведення уроку української літератури у вихованні духовності здобувачів освіти старшого підліткового віку. Літературний твір може бути осмислений старшим підлітком, лише тоді, коли почуття й переживання героя стануть його власними переживаннями. Зроблено висновки, що аналіз твору має сприяти опануванню учнем духовних орієнтирів творчості письменників – критеріїв моральної та естетичної оцінки подій, явищ і людських стосунків.