bluuebunny/crossref_metadata_2025 huggingface dataset:
Percutaneous Nephrolithotomy (PCNL) in Older and Younger Patients at a Tertiary Hospital in Surabaya, Indonesia
Authors: Ali Muhammad Wahyu , Azmi Yufi Aulia , Tarmono  , Soebadi Doddy M.
Published: March 2023

Highlights:

Percutaneous nephrolithotomy (PCNL) in older patients is as effective and safe as in younger patients.
It is a viable option for managing renal stones in older patients with indications, although blood transfusions are frequently required.

Abstract:
Percutaneous nephrolithotomy (PCNL) for renal and proximal ureteral stone treatment among the elder population is considered challenging due to the complication risk associated with comorbidity and lower functional reserve. Patients older and younger than 60 years old were compared for efficacy and safety in following PCNL procedures. Consecutive patients who underwent PCNL from 2019-2021 in a single center were divided into patients aged at least 60 years (group I) and patients aged under 60 years (group II). Single stage fluoroscopic-guided PCNL were used for the entire study population. Patients’ habitus, stone-related, and operative characteristics were compared. The two groups’ PCNL success and complication rates were evaluated. A total of 245 patients, comprising 65 in group I and 180 in group II, were included for analysis. Diabetes mellitus prevalence was higher in group I (30.8% vs 18.9%). However, the study population did not show a significant difference in regard to comorbidity. Operative time, success rate (80% vs 74.4%), and complication rate (16.9% vs 15.6%) did not statistically differ (p>0.05). Transfusion rate was higher among patients aged at least 60 years (p=0.018). Based on the multivariate analysis, stones located in the renal pelvis was the factor which contributed to the success rate. In conclusion, percutaneous nephrolithotomy is a safe and effective procedure for treating renal and proximal ureteral stones in the older population. Blood transfusions are more frequently given, in part, due to bleeding risk among older patients.
Disfunções olfativas e gustativas provocadas por COVID-19: revisão integrativa da literatura
Authors: Costa Nicolas Gustavo Souza , Silva Raiza Lima , Vale Mariana Lima
Published: March 2023

Objetivo: Apresentar uma revisão integrativa da literatura acerca dos mecanismos fisiopatológicos que promovem distúrbios neurológicos na COVID-19, em especial anosmia e disgeusia. Metodologia: Uma revisão integrativa foi realizada a partir de uma busca nas bases de dados Pubmed e Scopus utilizando os descritores “Dysgeusia”, “Olfaction Disorders” e “Coronavirus Infections”, integrados pelo operador booleano “AND”. Além disso, efetuou-se uma busca manual nas referências de estudos relevantes. Resultados: Analisou-se um total de 41 artigos na íntegra, dos quais 20 foram incluídos no trabalho. Percebeu-se hipóteses de associação de anosmia e disgeusia com lesão direta ao neuroepitélio olfatório e na mucosa oral, vias neurotrópicas de danos ao sistema nervoso central, processos inflamatórios neurogênicos e prejuízos na atividade de neurotransmissores envolvidos na transdução do paladar. Conclusão: Distúrbios no paladar e no olfato são sintomas que devem ser considerados relevantes na patogênese da COVID-19 e ainda demandam estudos subsequentes, visto a importância dos diferentes mecanismos e vias fisiopatológicas.

Palavras-chave: Coronavírus. Disgeusia. Anosmia. Neurologia.
The environmental quality inspection model of the construction of sea crossing bridges with based on the evolutionary game theory
Authors: Zhang Dongling , Zhang Jian , Yu Shugang
Published: March 2023

In order to reduce the impact of sea crossing bridge construction on the environment, it is necessary to adopt the method of multi-party supervision to detect the environmental quality in the construction process. Therefore, this paper constructs an environmental quality inspection model of cross-bridge construction based on evolutionary game theory. The model includes the physical means detection model between the government, the public, and construction enterprises and the tripartite evolutionary game supervision model. A reasonable test method is chosen according to the actual situation, game monitoring on the environmental quality of bridge construction is conducted, and the monitoring points are carefully arranged. Finally, the government needs to improve the basic system of pollution management, put forward effective supervision strategies, strengthen supervision measures, establish a pollution evaluation system, and punish enterprises that do not actively control pollution. The construction environmental quality of the sea crossing bridge is obtained through the actual detection, and the supervision improvement strategy is analyzed through the game model.
Α Rapid Seismic Damage Assessment (RASDA) tool for RC Buildings based on an Artificial Intelligence Algorithms
Authors: Morfidis Konstantinos , Stefanidou Sotiria , Markogiannaki Olga
Published: March 2023

In the current manuscript, a novel software application for Rapid Damage Assessment of RC buildings subjected to earthquake excitation is presented based on Artificial Neural Networks. The software integrates the use of a novel deep learning methodology for Rapid Damage Assessment into modern software development platforms, while the developed graphical user interface promotes the ease of use even from non-experts. The aim is to foster actions both in the pre- and post- earthquake phase. The structure of the source code permits the usage of the application either autonomously as a software tool for Rapid Visual Inspections of buildings prior to or after a strong seismic event or as a component of Building Information Modelling systems in the framework of digitizing building data and properties. The methodology implemented for the estimation of the RC buildings’ damage states is based on the theory and algorithms of Pattern Recognition problems. The effectiveness of the developed software is successfully tested using an extended, numerically generated database of RC buildings subjected to recorded seismic events
High-Intensity Interval Training for Knee Osteoarthritis: A Narrative Review
Authors: Tarantino Domiziano , Theysmans Tine , Mottola Rosita , Verbrugghe Jonas
Published: March 2023

Knee osteoarthritis (OA) is the most common joint disease worldwide. Exercise therapy has been identified as a first-line treatment option in patients suffering from knee OA. High-intensity interval training (HIIT) is an innovative exercise modality with potential in improving various disease-related outcomes. The purpose of this review is to explore the impact of HIIT on knee OA symptoms and physical functioning. A comprehensive search of scientific electronic databases was conducted to identify the articles on the effects of HIIT on knee OA. Thirteen studies were included in this review. Nine compared the effects of HIIT with those of low-intensity training, moderate-intensity continuous training, or a control group. Three evaluated the effects of HIIT alone. Eight reported a decrease in knee OA symptoms, and eight reported an increase in physical functioning. HIIT was shown to improve knee OA symptoms and physical functioning, but also aerobic capacity, muscle strength, and quality of life with minimal or no adverse events. However, compared to other exercise modalities, no clear superiority of HIIT was found. HIIT is a promising exercise strategy in patients with knee OA: anyway, the actual quality of evidence remains very low, and more high-quality studies are needed to confirm these promising outcomes.
Increase of Cropping Index in Dryland Supported by Groundwater Irrigation
Authors: Anshori Arif , Srihartanto Eko , Fibrianty Fibrianty , Suswatiningsih Tri Endar , Budiarti Sri Wahyuni , Riyanto Damasus , Cahyaningrum Hermawati , Suradal Suradal
Published: March 2023

Dryland has the potential to increase agricultural production, by increasing the cropping index. The main problem of dryland is the availability of water which depends on rainfall. Groundwater can be an alternative option to meet the availability of water in the dryland. This study aimed to determine the cropping pattern and increase of cropping index supported by groundwater irrigation in the dryland. The research was conducted in the dryland of Playen, Gunungkidul, Special Region of Yogyakarta, supported by groundwater irrigation. This research used a combination of survey, interview and plot demonstration methods. Surveys and interviews were conducted to determine the condition of cultivation and profit in the first and third growing seasons. The plot demonstration, to increase the rice cropping index from 1 to 2, was applied in the second growing season. The results showed that rice productivity in the first growing season was 5.215 ton ha-1, with a profit of 12,288,000 IDR ha-1 and B/C of 1.28. In the second growing season, Sidenuk productivity was 8.025 ton ha-1, with the dry straw of 8.049 ton ha-1, grain carbon of 3.471 ton ha-1 and straw carbon of 3.723 ton ha-1, higher than those of Situbagendit, but comparable those of Inpari-42, with a profit of 20,700,000 IDR ha-1 and B/C of 1.54. Rice contributed to higher biomass, carbon and profit than groundnut. In the third growing season, groundnut productivity was 2.026 ton ha-1, with a profit of 15,572,000 IDR ha-1 and B/C of 1.78. Groundwater irrigation can support the increase in the cropping index on dryland and intensify agricultural production as well.
Behavior and Marketing Analysis of Pepper (Piper nigrum L.): A Comparative Study of Farmers, Trading Districts and Retailers in Southeast Sulawesi, Indonesia
Authors: Al Zarliani Wa Ode , Muzuna Muzuna , Sugianto Sigit
Published: March 2023

Inefficient marketing and low production are the main obstacles in the selling of pepper and they also cause a low bargaining position for farmers in the market. Therefore, this study aims to determine the market behavior activities carried out to determine prices, as well as analyze marketing channels, profits received by participants and efficiency. Samples used in this study were 27 farmers, 4 trading districts, and 3 respondent retailers. The qualitative analysis was used to analyze the pattern of channels, the functions performed by associated agencies and the market behavior of the pepper commodity. Quantitative analysis was also carried out to evaluate the marketing margins, costs incurred by traders, profits received and efficiency. The results show that the selling price of pepper was determined by the merchant, with different payment systems including cash, initial deposit, and balance through oral cooperation in the form of an agreement on a place of sales, followed by the provision of capital to farmers. In the marketing process, 4 patterns of channels were formed, which include local markets and others outside the regency, and their efficiencies were above 50%. These results show that government need to provide pepper markets outside the province to improve the welfare of farmers and ensure they don't depend only on the local marketplace during harvest.
Status and Recent Developments of Pantoea stewartii subsp. stewartii Causes the Wilt Disease in Maize in Indonesia: A Review
Authors: Najamuddin Erwin , Djaya Ernawati , Djaenuddin Nurasiah , Muis Amran , Fauriah Ria , Salim Salim
Published: March 2023

Pantoea stewartii subsp. stewartii is a pathogen that causes Stewart wilt on maize. This disease is important in maize. Infection early in growth can cause yield losses of up to 100%. This review examines the history, recent developments, economic impacts and developments of detection technology of Stewart wilt diseases. This paper was created by reviewing several articles relevant to the purpose of the topic. The article's results revealed that the pathogen underwent many changes, including its name, taxonomy, physiological abilities, status as an important pathogen in many countries and the development of detection technology. Currently, P. stewartii subsp. stewartii belongs to the Erwiniaceae family and has physiological abilities that can be distinguished from bacteria of the same genus and species. This pathogen has been reported to spread to more than 82 countries, including Indonesia, with 18 host plants. Some areas have reported pathogens in Indonesia, but no vector has been written. The biggest economic threat caused by this disease is the industrial production of corn seeds which require strict phytosanitary requirements and are free from pathogens. To anticipate its spread, there are four methods of detection of pathogenic bacteria that are commonly used, but serological and molecular detection technologies are the main recommendations.
Development of Clove (Syzygium aromaticum) and Cinnamon (Cinnamomum burmannii) Based Food Sanitizer
Authors: Kam Natania , Joanina Mikaela , Hardoko Hardoko , Rosa Dela , Halim Jeremia Manuel
Published: March 2023

Although minimally processed food contains more beneficial nutrients, it is one of the largest sources of food-borne diseases. Therefore, this research aims to develop the efficiency of food sanitizer, targeted toward fresh food products using a green chemistry approach. The cinnamon and clove were extracted using water distillation and ethanol extraction with the green technique. The extracts were characterized for antimicrobial activity and incorporated into basic food sanitizer formulation. The solution's color and stability were evaluated and the sanitizer was applied to decontaminate fresh strawberries. The total microbial load before and after the application was also compared to determine the effectiveness of the food sanitizer. Based on the results, all the extracts showed high effectiveness in inhibiting various spoilage microorganisms that exist in food produced with water distillation. The extracts also showed better ability when incorporated into a water-based sanitizer. All the developed food sanitizers can reduce the microbial load of the fresh produce by 4 log per 5 minutes of contact time. Meanwhile, the water-distilled clove extract showed the most effectiveness, decreasing microbial log by 3.93±0.07 log CFU g-1 of bacteria load and 4.37±0.14 log CFU g-1 of mold load, respectively which performed good dispersion stability for approximately 10 days of observation. This indicated that food sanitizer using water-distilled clove extract could be applied as a good alternative to chemical-based sanitizer.
Identifying Drought-Tolerant Impatiens Genotypes by Using Water Stress Treatment
Authors: Shintiavira Herni , Purba Ardian Elonard , Kartikaningrum Suskandari , Koseki Atsushi
Published: March 2023

The drought-tolerant Impatiens genotypes are known for their resistance to limited or stressed water. The study aimed to identify drought-tolerance of Impatiens clones. The experiment used a split-plot design replicated three times, with the water stress treatment as the main plot and Impatiens clones as subplots. The main plot consists of 100% and 60% of field capacity. The subplots consist of five Impatiens clones, 17.12; 12; 33.3; 40 B and Impatiens cv of Impala Agrihorti as a control. The results showed that 60% field capacity decreased morphological and physiological traits. Still, the drought-tolerant clones were less affected by the stress and produced more flowers than the others. The most drought-tolerant Impatiens was clone 12. The mechanism of drought tolerance Impatiens was by stomatal closure when the humidity in the growing medium was decreasing. The stomata closure did not significantly reduce the fresh and dry weight in drought-tolerant plants, but it affected the delay in flower initiation. The plant accumulated assimilate for plant height and diameter growth but is not sufficient for generative initiation. They assimilate in the vegetative phase and can be used as sources for flower formation, which show no significant decrease in the number of flowers. The study implies that the drought-tolerant Impatiens clones can be used as genotype sources for drought-tolerant or can be released as new varieties of Impatiens for landscape plants with the superiority in having drought tolerant.
Analysis of the Effects of Climate Change on Cotton Production in Maharashtra State of India Using Statistical Model and GIS Mapping
Authors: Sengupta Anirup , Thangavel Mohanasundari
Published: March 2023

Cotton is a prominent cash crop cultivated for fiber, edible oil and oil cake. A global environmental issue, like climate change, alters weather parameters necessary for the healthy growth and development of cotton plants, affecting fiber quality and economic yield. The study aims to illustrate the evidence of climate change in Maharashtra and assess its impact on the production of cotton in this region. The study was conducted in the state of Maharashtra, India. Geographic information system (GIS)-based models were created based on the vector data (geopolitical boundaries of the state of Maharashtra and its districts) and the corresponding raster attributes (meteorological data) to examine the changes in the patterns of distribution of temperature, rainfall and severity of drought (Standardized Precipitation Index-SPI) over the study period (1990 to 2015). Further, a statistical multiple linear regression model was developed using district-wise data on yield and climatic parameters obtained from International Crops Research Institute for the Semi-Arid Tropics (ICRISAT) to estimate the relationship between the dependent variable (yield of cotton) and the independent variables (annual rainfall and annual mean temperature). GIS modeling and mapping provide evidence of changes in the spatial distribution of rainfall and temperature. Although the regression analysis seems weak, it is acceptable for natural systems because natural systems are complex and often highly variable, making it difficult to create a perfect model. The multiple linear regression model shows that such changes in climatic parameters have a significant negative impact on the economic yield of cotton.
Effectiveness of Endophytic Bacteria from Local Tomato Plants Against Wilt Disease Caused by Fusarium oxysporum
Authors: Nurlila Ratna Umi , La Fua Jumarddin , Abidin Muhammad Sainal , Sulaeha Sulaeha , Hadju Lodes
Published: March 2023

Fusarium wilt is a plant disease caused by Fusarium oxysporum that generates significant economic loss to crops. A method to sustainably control F. oxysporum is utilizing biological agents, such as endophytic bacteria. Therefore, this study aimed to isolate endophytic bacteria from tomato plant tissue, which could inhibit the pathogen of wilt disease (F. oxysporum). Endophytic bacteria were isolated from local tomato plants in Muna Regency, Indonesia. Morphological characteristics such as size, shape, color and height of bacterial colonies were then determined by Gram staining using potassium hydroxide (KOH). Endophytic bacterial isolates were evaluated for their ability to inhibit F. oxysporum through inhibition and hydrogen cyanide (HCN) production tests. Subsequently, analysis of variance was used to determine whether endophytic bacteria inhibited F. oxysporum growth, and if there was a significant effect, Duncan's test was conducted at 95% significance. HCN production was observed through qualitative methods. The results showed that four endophytic bacteria isolates, namely LBR I A03, SWR II B04, SDM II B05 and SWR I A02 inhibited the growth of F. oxysporum by more than 50%. It also revealed that four endophytic bacterial isolates were strong HCN producers and two were weak producers. Therefore, isolates showing antifungal activity in this study can be used as biopesticide agents to induce plant resistance to F. oxysporum.
Physical Properties of Alfisols, Growth and Products of Hybrid Corn Affected by Organic and Inorganic Fertilizer
Authors: Syamsiyah Jauhari , Minardi Slamet , Herdiansyah Ganjar , Cahyono Ongko , Mentari Fegi Cahya
Published: March 2023

The nutrients of plants and the physical condition of the soil must both be considered to increase corn productivity. The continuous use of inorganic fertilizer without manures will cause a decrease in the physical properties of the soil. Therefore, this study aims to obtain doses of organic fertilizer from cow manure and inorganic fertilizers namely urea, KCl and SP-36 that will give the best effect on the physical properties of Alfisols, growth and yield of hybrid corn. The experiment was carried out using the randomized complete block design (RCBD) with two factors namely organic and inorganic fertilizers. Each factor was given at four dosages: 1, ¾, ½ and ¼ of the standard dose each with three replications. Observation parameters include bulk and particle density, soil porosity, aggregate stability, root volume and fresh weight, plant height, as well as the weight of corn with and without husks. The results showed that organic and inorganic fertilizers significantly affected bulk density, soil porosity, aggregate stability, root fresh weight, root volume, as well as the weight of corn with and without husks. Additionally, treatment with 7.5 to 10 tons of organic fertilizer as well as ¼, ¾ and 1 dose of inorganic fertilizers produced the best effect on soil physical properties of Alfisols, growth and yield of hybrid corn, while the lowest results were obtained in the control treatment. This indicates that organic treatment can reduce the use of inorganic fertilizers between ¼ to ¾ of the standard dose.
Identifying Institutions and Strategic Programs to Increase Sugarcane Production in Southeast Sulawesi, Indonesia
Authors: Sulaiman Andi Amran , Arsyad Muhammad , Rahmatullah Rio Akbar , Ridwan Muhammad
Published: March 2023

The decline in the productivity of the national sugarcane commodity has become an issue in the last ten years. When domestic demand for sugar is increasing, the decline in productivity indicates a crisis in sugarcane production. At the same time, the involved institutions and strategic programs to encourage sugarcane production have not been well identified. The research aims to determine the institutions that are expected to play a role and the strategic programs that are prioritized in increasing sugarcane production in Southeast Sulawesi, Indonesia. This study uses Interpretative Structural Modeling (ISM) to formulate complexity, hierarchy (levels) and classification among elements. The results showed that of the 14 sub-elements of the acting institutions studied, five institutions were key actors for increasing production, namely banking institutions; universities; agricultural, plantation and fisheries offices; industry, trade, cooperatives, & Small and Medium Enterprises (SMEs') offices; and private companies. Then, from the 13 sub-elements of the strategic programs, there are five strategic programs that also serve as the key programs, namely extension/assisting farmers; addition of plantation labor; providing access to capital; variations of profit-sharing and buying systems of sugarcane; and accuracy of time and adequacy of the supply of raw materials to the mills. This means that these institutions must play an important role, as well as strategic programs that must be carried out effectively to address the issue of sugarcane production in the country. Thus, researchers recommend involving all stakeholders in conducting strategic programs with the key actors as the leading driving institutions.
Failure criteria in crashworthiness analysis of ship collision and grounding using FEA: Milestone and development
Authors: Carvalho Hermes , Ridwan Ridwan , Sudarno Sudarno , Prabowo Aditya Rio , Bae Dong Myung , Huda Nurul
Published: March 2023

This study presents reviews of the failure criteria to capture the resulting response due to the catastrophe of ship collision and grounding using the finite element. Researchers have introduced several failure criteria, for instance, the DNV RP-C204 criterion, Germanischer Lloyd criterion, Peschmann, RiceTracey and Cockcroft-Latham (RTCL), Bressan-Williams-Hill (BWH) instability criterion, and Liu criterion. As in the mathematical formula, each criterion has a difference. The choice of failure criteria will depend on the simulation's specific requirements and the analysis's goals. Liu's criterion can be used to evaluate the failure of materials in ship collision simulations, for example, when large element sizes (i.e., 20 mm) are considered in the simulation.
Application of Stress Parameter from Liquefaction Analysis on the Landslide Induced Tsunami Simulation: A Case Study of the 2018 Palu Tsunami
Authors: Sujatmiko Karina Aprilia , Ichii Koji , Murata Soichiro , Mulia Iyan Eka
Published: March 2023

The accuracy of numerical simulations of a landslide-induced tsunami depends on the landslide characteristics, such as landslide geometry and geotechnical parameters. However, owing to the difficulty in sampling and measuring submarine landslides, rough assumptions of landslide parameters typically lead to significant uncertainties. In the 2018 Palu event, the earthquake was followed by immediate cascading disasters of coastal subsidence, both land and submarine landslides and a tsunami. This scenario provides opportunities to analyze landslide phenomena on land to characterize the submarine landslide causing the tsunami. This study proposes a new approach of using shear-stress parameters obtained from liquefaction analyses as input for landslide-induced tsunami simulation. To obtain the submarine landslide parameter, using the finite element method we modeled the liquefaction happened in Jono-Oge located near Palu Valley area. The shear-stress in this area was quite small with the range 1.5–3.5 kPa. We found that tsunami simulation yielded better accuracy by applying the stress value range obtained from the liquefaction analysis on land (1.5 kPa) rather than the typically adopted stress value for general cases (20 kPa). The result from the tsunami simulation using two-layer method with identical landslide location and geometry showed that shear-stress value of landslide mass gave quite a significant effect to the tsunami height.
Analysis of Land Price Changes Before and After Designation as Tsunami Disaster Alert Areas
Authors: Sakamoto Jun
Published: March 2023

Learning from the Great East Japan Earthquake, the Japanese government enacted the “Tsunami Disaster Prevention Community Development Law.” Following the law’s enactment, local prefectures could designate areas that required special preparation for tsunami disasters as “tsunami disaster alert areas.” However, more than 10 years after the law’s enactment, only about half of the prefectures with estimated tsunami inundation have designated disaster alert areas. One reason for this lack of progress is that it is difficult to reach a consensus owing to concerns regarding falling land prices caused by rumors. Thus, this study presents an empirical analysis of the impact of designating tsunami disaster alert areas on land prices. The difference in land prices between designated tsunami disaster alert areas and other areas is analyzed using the difference-in-difference and propensity score matching methods, using data on 26 prefectures. The eight prefectures in the “treatment group” were designated as tsunami disaster alert areas before 2018. The other prefectures are assigned to the “control group.” The results show a significant difference between designated tsunami disaster alert areas and other locations. The results are confirmed in kernel matching bandwidths of 0.06 for the entire sample, sample of only residential use, and sample of an estimated tsunami inundation depth below 2 m. Thus, this study concludes that before designating tsunami alert areas, local prefectures must carefully consider the impact of such designation on land prices.
Assessment of Hydraulic Fracturing in Earth Dams on Complex Foundations
Authors: Kunsuwan Bunpoat , Chalermpornchai Thawatchai , Mairaing Warakorn , Thepjanthra Wiphada
Published: March 2023

Hydraulic fracturing (HF) in a dam is the phenomenon of crack propagation after water pressure enters and expands an existing crack. An HF numerical model was tested on an existing dam on a complex foliated rock foundations. The locations and areas of HF could be identified, leading to the development of the hydraulic fracturing index (HFI). The results revealed that the HF area mainly occurred in syncline concave areas on rock foundations. The expansion of HF significantly affected the seepage and the stability of the dam. The HF area on a studied dam mainly started to occur when the reservoir water level (RWL) reached 146.00–156.00 m mean sea level (MSL). These results agreed well with the piezometric monitoring data recorded as 148.00–149.00 m MSL. The findings supported the formulation of the HFI based on the influencing factors of the cross-valley geometry, RWL, dam height, and elastic modulus of the rock foundation. The probability of HF occurrence could be evaluated and categorized for safety evaluation into five conditions: ≤0.14 (very unlikely), 0.15–0.74 (unlikely), 0.75–1.86 (neutral), 1.87–3.10 (likely), and ≥3.10 (very likely). The HFI can be used to predict the likelihood of seepage problems due to HF in an existing earth dam.
Analisis Konsekuensi Ekonomi Akibat Kejahatan di Indonesia
Authors:   Departemen IESP Fakultas Ekonomika dan Bisnis Universitas Diponegoro, Palokoto Tarina , Purwanti Evi Yulia ,   Departemen IESP Fakultas Ekonomika dan Bisnis Universitas Diponegoro, Mudakir Y. Bagio ,   Departemen IESP Fakultas Ekonomika dan Bisnis Universitas Diponegoro
Published: March 2023

Kejahatan memengaruhi keputusan masyarakat melakukan kegiatan ekonomi. Penelitian ini bertujuan menganalisis pengaruh dari beberapa tipologi kejahatan dan variabel nonkejahatan terhadap Produk Domestik Regional Bruto (PDRB) per kapita serta mengidentifikasi adanya dependensi spasial dari PDRB per kapita di Indonesia. Penelitian ini menggunakan data cross section dengan Spatial Lag Model (SLM). Hasil penelitian menunjukkan terdapat autokorelasi spasial negatif pada PDRB per kapita. Kejahatan pembunuhan dan tenaga kerja memengaruhi PDRB per kapita secara negatif dan signifikan. Sementara itu, variabel kejahatan penipuan/perbuatan curang, penggelapan, dan korupsi; pengeluaran pemerintah daerah, angka harapan hidup, Penanaman Modal Dalam Negeri (PMDN), serta Penanaman Modal Asing (PMA) berpengaruh positif dan signifikan terhadap PDRB per kapita.
Government Size dan Pertumbuhan Ekonomi di Indonesia
Authors:   Pusat Kebijakan Pembiayaan Perubahan Iklim dan Multilateral, Badan Kebijakan Fiskal, Kementerian Keuangan, Santika Ary Ratna , Qibthiyyah Riatu M. ,   Program Pascasarjana Ilmu Ekonomi, Fakultas Ekonomi dan Bisnis, Universitas Indonesia
Published: March 2023

Penelitian ini bertujuan untuk meneliti pengaruh government size terhadap pertumbuhan ekonomi daerah di Indonesia. Penelitian ini menggunakan analisis data panel dengan menggunakan data dua tahun interval dari tahun 2009 hingga 2015. Hasil penelitian menunjukkan bahwa government size berpengaruh signifikan terhadap pertumbuhan ekonomi daerah dan berpengaruh secara tidak linier. Berdasarkan hasil model, dapat dihitung bahwa threshold untuk government size terhadap pertumbuhan ekonomi daerah adalah sebesar 38,98%. Jika pertumbuhan ekonomi daerah lebih dari itu, peningkatan government size akan berdampak negatif pada pertumbuhan ekonomi.
Model GI-GI: Sistem Pembelajaran Active Learning Berbasis Student Centred Menggunakan Pendekatan Scientific Approach dalam Rangka Mewujudkan Tujuan ke Empat SDGs
Authors: Putra Ade
Published: March 2023

Salah satu tujuan dari Sustainable Development Goals yaitu pendidikan yang berkualitas dan untuk mencapai pendidikan yang berkualitas itu tentu saja dimulai dari sistem pembelajaran yang baik dan berkualitas pula. Salah satu problem yang sejak dulu muncul dalam proses pembelajaran adalah berkenaan dengan model pembelajaran atau secara lebih spesifik berkenaan dengan metode mengajar, dimana salah satunya adalah bahwa proses pembelajaran didominasi oleh model pembelajaran konvensional atau tradisional dengan metode ceramah sebagai metode andalannya. Metode pembelajaran seperti ini dinilai kurang efektif dalam meningkatkan kemampuan siswa dalam berpikir kritis dan kreatif. Pada artikel ini akan membahas salah satu model pembelajaran yang dinilai dapat berperan penting dalam meningkatkan kualitas pendidikan di Indonesia yaitu model pembelajaran GI-GI perpaduan antara model pembelajaran Group Investigation dan Guided Inquiry. Model seperti ini dinilai lebih efektif diterapkan pada peserta didik karena mampu menciptakan peserta didik yang dapat berpikir kritis dan kreatif sehingga dapat menciptakan kualitas pendidikan yang baik dan membantu terwujudnya tujuan ke empat dari SDGs yaitu Pendidikan yang Berkualitas.
DIGITAL NIST: An examination of the obstacles and opportunities in the digital transformation of NIST’s reference materials
Authors: Camara William Dinis , Choquette Steven , Delak Katya , Hanisch Robert , Long Benjamin , Phillips Melissa , Ragland Jared , Rimmer Catherine
Published: March 2023

Early in 2022, NIST embarked on a pilot project to produce digital calibration reports and digital certificates of analysis for reference materials. The goal is to produce examples of digital reports and certificates to assess the scope and challenges of digital transformation in those particular measurement services. This paper focuses on the Reference Material Certificate effort of the pilot project. Our aims for this part of the pilot project are: to generate a digital Reference Material Certificate from certification data; descriptive information about the material, and other data and metadata as needed; to generate a human-readable report from the digital Reference Material Certificate; and to hold a workshop to gather stakeholder feedback. The challenges for NIST include the diverse and complex information presently contained in NIST certificates, converting values to non-SI units to match the needs of stakeholders, and format updates to NIST Reference Material Certificates necessary to allow for machine generation. Other practical challenges include the wide variety of Reference Materials offered by NIST, as well as the needs of internal and external stakeholders. This presentation will report on the progress of the NIST effort and discuss some of the challenges and solutions to producing Digital Reference Material Certificates.
Metrology for data in life sciences, healthcare and pharmaceutical manufacturing: Case studies from the National Physical Laboratory
Authors: Duncan Paul , Smith Nadia , Romanchikova Marina
Published: March 2023

Data metrology, i.e., the evaluation of data quality and its fitness-for-purpose, is an inherent part of many disciplines including physics and engineering. In other domains such as life sciences, medicine, and pharmaceutical manufacturing these tools are often added as an afterthought, if considered at all. The use of data-driven decision making and the advent of machine learning in these industries has created an urgent demand for harmonised, high-quality, content rich, and instantly available datasets across domains. The Findable, Accessible, Interoperable, Reproducible principles are designed to improve overall quality of research data. However, these principles alone do not guarantee that data is fit-for-purpose. Issues such as missing data and metadata, insufficient knowledge of measurement conditions or data provenance are well known and can be aided by applying metrological concepts to data preparation to increase confidence. This work conducted by National Physical Laboratory Data Science team showcases life sciences and healthcare projects where data metrology has been used to improve data quality.
Tracking and viewing modifications in digital calibration certificates
Authors: Galpin Vashti , Smith Ian , Hippolyte Jean-Laurent
Published: March 2023

Trust in current and historical calibration data is crucial. The recently proposed XML schema for digital calibration certificates (DCCs) provides machine-readability and a common exchange format to enhance this trust. We present a prototype web application developed in the programming language Links for storing and displaying a DCC using a relational database. In particular, we leverage the temporal database features that Links provides to capture different versions of a certificate and inspect differences between versions. The prototype is the starting point for developing software to support DCCs and the data with which they are populated and has underlined that DCCs are the tip of the iceberg in automating the management of digital calibration data, activity that includes data provenance and tracking of modifications.
Automated calibration and DCC generation system with storage in private permissioned Blockchain network
Authors: Zet Cristian , Dumitriu Gabriel , Fosalau Cristian , Sarbu Gabriel Constantin
Published: March 2023

Digital technologies proven their usefulness in instrumentation and measurements since many years, becoming a “must have”. The use of microprocessors and microcontrollers in measuring instruments became a common practice, bringing the advantage of signal and information processing at the instrument level, digital interfaces, remote control, software update and calibration. Thus, the instrument can be calibrated and verified being connected in an automated calibration system which can carry all the process without the operator interference and to generate in the end the calibration certificate. The paper presents the possibility of joining the automated calibration system and creation of a Digital Calibration Certificate (DCC) with the Blockchain technology for storing and validation. As benefits there are the traceability of the DCC, the impossibility of altering the information and the preservation of the full history in the digital walle
Developing the Islamic Reading Center Through Fostering the Village Youth Organization to Improve Children’s Literacy
Authors: Wardhani Irma Yuniar , Fakhri Auliya Nanang Nabhar , Fuadah Laily
Published: March 2023

The study of literacy always becomes the main issue in education, because this skill is a benchmark for the progress and development of a nation. Indonesia is a large country with a large area, however with its wide area it turns out to be an obstacle in terms of equalizing education in Indonesia. In fact, some rural villages have not had adequate access to education and it causes the paradigm about education among rural villages is less open.  Moreover, Indonesia is a country which majority of the population are Muslims, so the literacy skills improvement program which is being pursued should have an Islamic value. . Unfortunately, there have not been many reviews about increasing literacy skills based on Islamic education. Therefore, it needs an effort that can develop literacy skills for children especially for the nation's next generation. The fostering of villages youth organizations through the Islamic Reading Center (IRC) which aims to increase children's literacy is a literacy collaborative (LC) program starting from rural villages’ level, local government and central government which involves youth organization from the rural villages’ level, sub-district, regency, education and culture agency, social agency, regional and national libraries, and the directorate general of Islamic education of religious ministry of Republic of Indonesia. The Islamic reading center provides Islamic books and media that can be managed by the youth organizations in a rural village. So, through Islamic reading centers and literacy activities, it can increase literacy skills in rural villages which need more attention in education.
Распространение вариантов вируса SARS-COV-2, вызывающих интерес (VOI) и субвариантов Omicron, находящихся под наблюдением (VUM), на основе количества их геномов, депонированных в базу данных GISAID за неделю с 25.03.2023 г. по 31.03.2023 г.
Authors: Дмитриева Людмила , Краснов Ярослав , Чумачкова Елена , Осина Наталья , Зимирова Анастасия , Иванова Александра , Карнаухов Игорь , Караваева Татьяна , Щербакова Светлана , Кутырев Владимир
Published: March 2023

В обзоре представлена информация по циркулирующим в настоящее время ва-риантам вируса SARS-COV-2 вызывающих интерес (VOI) и субвариантов Omicron, находящихся под наблюдением (VUM), геномные последовательности которых раз-мещены в международной базе данных GISAID за неделю с 25 по 31 марта 2023 г.
Pengaruh Model Pembelajaran PBL Berbasis STEM Menggunakan Bantuan Mind Mapping terhadap Peningkatan Kemampuan Berpikir Kreatif
Authors: Yuniar Vina , Hadi Sofwan
Published: March 2023

Tujuan dari penelitian ini adalah untuk mengetahui hasil keterlaksanaan pembelajaran dan aktivitas peserta didik serta untuk mengetahui pengaruh penerapan model pembelajaran PBL berbasis STEM menggunakan bantuan Mind Mapping terhadap peningkatan kemampuan berpikir kreatif peserta didik. Quasi Experimental merupakan metode penelitian yang akan digunakan pada penelitian kali ini. Desain penelitian menggunakan Pos test only Control Groub Design. Sampel berjumlah 65 peserta didik, 32 peserta didik sebagai kelas eksperimen dan 33 peserta didik sebagai kelas kontrol. Data penelitian dimbil melaui observai dan tes kemampaun berpikir kreatif. Berdasarkan hasil analisis data, ditemukan bahwa keterlaksanaan pembelajaran dan aktivitas peserta didik dengan model pembelajaran PBL berbasis STEM menggunakan bantuan Mind Mapping dalam kategori baik, pembelajaran sudah dilaksanakan efektif sesuai dengan tujuan yang telah ditetapkan. Hasil menunjukkan bahwa data yang diperoleh telah normal dan homogen. Berdasarkan hasil Uji Independent Sample T-test diketahui bahwa nilai signifikansi hasil Post test pada kelas eksperimen dan kelas kontrol sebesar 0,000 yang mana nilai signifikansi two-tailed 0,000 < 0,05, terdapat pengaruh yang signifikan antara kemampuan berpikir kreatif peserta didik menggunakan model pembelajaran (PBL) Problem Based Learning berbasis STEM (Science, Technology, Engineering and Mathematic) menggunakan bantuan Mind Mapping dengan kemampuan berpikir kreatif peserta didik dengan menggunakan model pembelajaran konvensional. Dan hasil analisis data menunjukkan bahwa kemampuan berpikir kreatif peserta didik kelas ekperimen lebih baik dari pada kelas kontrol.
Penerapan Pembelajaran TGT Menggunakan Media Monopoli IPA terhadap Hasil Belajar Siswa SMP Materi Tata Surya
Authors: Miftia Miftia Ainul Arifah , Widiyanti Fenny
Published: March 2023

Penelitian ini bertujuan untuk mengetahui peningkatan hasil belajar IPA melalui model pembelajaran Teams Games Tournament (TGT) dengan media monopoli IPA materi tata surya di SMP Muhammadiyah 2 Ngawi. Penelitian tindakan kelas ini menggunakan dua tahap atau dua siklus, di setiap siklus terdiri dari tahap perencanaan, tahap pelaksanaan, tahap observasi dan tahap refleksi. Subjek yang diteliti adalah siswa kelas VII SMP Muhammadiyah 2 Ngawi dengan jumlah 20 siswa sedangkan untuk sumber datanya berasal dari guru kelas dan siswa. Hasil penelitian ini menunjukkan bahwa penggunaan model Teams Games Tournament (TGT) dengan media monopoli IPA dapat meningkatkan hasil belajar siswa pada materi tata surya. Peningkatan tersebut dapat dilihat dari hasil belajar pada siklus I diperoleh nilai rata-rata pre test 50,05 dengan ketuntasan 4 siswa atau 20% dan nilai rata-rata post test 62,4 dengan ketuntasan 9 siswa atau 45%. Sedangkan pada siklus II dapat dilihat peningkatan pesat dari nilai rata-rata pre test 72,75 dengan ketuntasan 15 siswa atau 75% dan nilai rata-rata post test 80,05 dengan ketuntasan 19 siswa atau 95%. Penelitian ini berhenti di siklus II karena pada siklus II sudah mencapai indikator keberhasilan yang ditentukan, yaitu ≥ 85% dari total jumlah siswa dalam satu kelas mendapat nilai ≥ 70.
Study on performance Evaluation of CMOS Inverter using Surrounded channel Junctionless Field Effect Transistor
Authors: Das Namita , Sarma Kaushik Chandra Deva
Published: March 2023

The paper present here analyses the modeling and performance of CMOS inverters using surrounded channel Junction less field effect transistor (SCJLFET). A mathematical model for different parameters like low input voltage and high input voltage, low output voltage and high output voltage, power dissipation, noise margin, rise time, fall time, propagation delay of the CMOS inverter circuit has been established. To design the model for various parameters, potential models at the channel source boundary and the potential at the channel drain boundary are considered. The variations in the voltage transfer characteristics, output current and the power dissipation with respect to the input voltage for steady-state conditions and transient states were evaluated for different gate dielectrics, gap lengths and gate oxide thicknesses. The models were compared with technology computer aided design (TCAD) simulation results for validation. The noise margin, rise time, fall time and propagation delay of the SCJLFET based Complementary metal oxide semiconductor (CMOS) inverter is evaluated and compared with those of a conventional junction less transistor. It has been observed that the SCJLFET exhibits an improvement in the noise margin and propagation delay compared with conventional junction less transistors.
Point and interval prediction of carbon price: A novel hybrid model considering the severe volatility and the complexity
Authors: Ding Lili , Zhao Haoran , LI Hui
Published: March 2023

The development of global economic suffers from the serious problem of carbon emission. Accurate carbon price prediction is of great significance for carbon emission reduction. However, it is difficult for the existing carbon price prediction model to simultaneously solve the severe volatility and the complexity of carbon price. Therefore, this paper proposes a novel hybrid model composed of econometric model, machine learning model and optimization algorithm to realize point and interval prediction of carbon price. In the proposed model, an adaptive variational mode decomposition algorithm is proposed to explore the characteristics of carbon price sub-series. In point prediction, different from previous studies, this paper uses unsupervised clustering to distinguish the different complexity of the intrinsic modal functions. The high complexity components are predicted by BP neural network based on war strategy optimization algorithm, and the low complexity components are predicted by econometric model, which improves the prediction accuracy and the interpretability of the model. In interval prediction, the paper uses kernel density estimation and nonparametric bootstrap to obtain the probability distribution of the predicted value, and makes interval prediction according to different significance levels, which can provide more reliable information for decision-making. According to the empirical results of China’s Shenzhen carbon trading market and Beijing carbon trading market, our proposed model is superior to the other 23 benchmark models in point prediction and can perform effective interval prediction.
Statistical mining of triple-negative breast cancer-specific nanobodies among huge libraries from immunized alpacas
Authors: Maeda Ryota , Yamazaki Hiroyuki , Kobayashi Ryoga , Yamamoto Seishiro , Kasai Kazuki , Imura Akihiro
Published: March 2023

Breast cancer can be classified into several types according to the expression patterns of human epidermal growth factor receptor 2 (Her2), oestrogen receptor (ER), and progesterone receptor (PgR) proteins. The prognosis of patients with tumors showing low Her2 expression and no ER and PgR expression—categorized as triple-negative breast cancer (TNBC)—is worst among these groups. Due to the lack of specific antibodies for TNBC, curative treatments for TNBC remain limited. Antibodies targeting TNBC have potential as diagnostic and therapeutic tools. Here, we generate a panel of nanobodies targeting TNBC cell lines by immunizing alpacas and subsequently panning the resulting phage libraries with TNBC cell lines. We show that several clones exclusively stain Her2-negative cells in tissues of breast cancer patients, and a few clones stain both Her2-positive and Her2-negative regions in these tissues. These clones can be applied to patient-specific therapies using drug-conjugated antibodies, radiolabelled antibodies, chimaera antigen receptor T cells, or drug delivery components, as well as to TNBC diagnosis.