bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on Low-light Image Enhancement Based on MER-Retinex Algorithm
Authors: Zhou Rongfeng , Wang Rugang , Wang Yuanyuan , Zhou Feng , Guo Naihong 
Published: August 2023

Abstract
To solve blurring and poor visual effects after enhancement of low-light images by conventional low-light algorithms, this paper proposes a MER-Retinex (Multiscale Expansion Reconstruction Retinex) algorithm that integrates attention mechanism and multi-scale expansion pyramid reconstruction. It includes two parts: decomposition and enhancement module. In the decomposition module, two U-shaped networks are used to decompose the image into reflectance and illumination, then, use multi-layer convolution to expand the field of perception and improve the ability to decompose the image to obtain reflectance and illumination. In the enhancement module, a U-shaped network is used to fuse multi-scale expansion pyramids with a multi-attention mechanism to enrich image information, increase image brightness, and fuse the processed global information with local information to enhance the recovered image details. In the enhanced reconstruction section super-resolution techniques are used to enhance and denoise image feature details. Experimental analysis of the MER-Retinex algorithm was carried out on the LOL dataset. The PSNR of the algorithm in this paper was 25.26 and the NIQE was 3.43. The algorithm in this paper can effectively solve the problems of blurred images and poor visual effects, and has improved in both subjective perception and objective evaluation indexes.
Production Performance and Financial Analysis of Three Segments Business to Support Availability Hybrid Grouper Seeds in Marine Culture
Authors: Astari Belinda , Effendi Irzal , Budiardi Tatag , Hadiroseyani Yani , Diatin Iis , Ismi Suko 
Published: August 2023

Abstract

Important factors in grouper mariculture are continuous availability of seeds. Purpose of this research was to analyse production performance and financial analysis of three segments that support production of cantang hybrid grouper (macan/tiger, Epinephelus fuscoguttatus × kertang/giant, Epinephelus lanceolatus) and cantik hybrid grouper (macan/tiger, Epinephelus fuscoguttatus × batik/camouflage, Epinephelus microdon). Research was conducted for one year in 2022 three businesses, namely egg production, small-scale hatchery and nursery businesses. Egg production in a year for cantang hybrid grouper 97,300,000 eggs and cantik hybrid gouper of 17,800,000 eggs. Small-scale hatchery were harvested with average total length of ± 3.0 cm with SR 2.1–15.7% for cantang and 4.3–18.2% for cantik. Nursery were harvested with average total length of cantang seeds was 10.9 ± 0.3 cm with SR of 60.2–84.5% and seeds was 10.1 ± 0.3 cm with SR of 74.9–91.8%. Egg production obtained profit IDR 444,144,168/year, R/C ratio 1.67, and payback period 1.16 year. Egg production business in 5 years obtained NPV IDR 834,544,410, net B/C 2.63, and IRR 78.90%. Small-scale hatchery business profit IDR 414,508,032/year, R/C ratio 1.94, and payback period 1.40 year with NPV IDR 783,041,394, net B/C 2.35, and IRR 65.10%. Nursery business profit IDR 524,700,000/year, R/C ratio 1.73, and payback period 1.17 year with NPV IDR 1,097,840,171, net B/C 2.78, and IRR 79.30%. Sensitivity analysis shows that increases and decreases that occur in amount of production and selling prices have significant effect on NPV value. In addition, increase in profitability performance is associated with decrease in broodstock, eggs, seeds, feeds, or labor costs.
Sustainable Land Use Planning in Developing Countries Using GIS and Multi-criteria Analysis: A Case Study of Lalitpur District, Nepal
Authors: Thapa Narayan , Pant Pragya , Prasai Ritika , Mahata Aayush , Dulal Sujan 
Published: August 2023

Abstract
Nepal is facing rapid urbanization leading to unplanned land development/use. This research paper focuses on conducting a comprehensive land use suitability analysis for urban development in Lalitpur District, Nepal. By employing Geographic Information System (GIS) and Multi-criteria Analysis (MCA) techniques, this study aims to provide valuable insights into identifying suitable area for urban development and facilitating valuable insights into identifying suitable area for urban expansion and opening doors for informed decision making by planner and policy makers. By studying factors such as existing infrastructure which include land cover, population density, flood sensitivity, slope, digital elevation model (DEM), road network, distance to brick factory and land fill site, the study identified suitable areas for urban development in Lalitpur District. We divided the study area into four suitability classes: highly suitable, moderately suitable, marginally suitable, and not suitable. From our case study we found out that the highly suitable regions are typically flat, have low population densities, areas close to infrastructure, far away from landfill site, flood region and brick factory. Moderate suitable areas are typically hilly, have higher population densities, and areas farther from infrastructure. Marginal suitable areas are in floodplains, have steep slopes, and are near to industrial areas. Not suitable areas are too steep, highly prone to flood, too close to industrial areas, and have high population density. The findings of the analysis emphasize the importance of considering environmental factors in land use planning and urban development. It highlights the need to preserve green spaces, protect water bodies, and ensure the long-term well-being of residents. The results provide valuable insights for decision-makers and urban planners, enabling them to make informed decisions and allocate resources effectively.
Exploring Adverse Events Of Remdesivir In Covid-19 Patients: A Comprehensive Global Analysis
Authors: Malvade Pratik V. , Bhagat Dhanashri B. , Palve Atish S. , Navale Abhijit S. , Musmade Prajwal S. , Muntode Prasad J. , Joshi Rohit S. 
Published: August 2023

Abstract
Background The emergence of COVID-19, stemming from SARS-CoV-2, has triggered a global pandemic, urging rapid therapeutic interventions. Remdesivir, a nucleotide analog prodrug, garnered attention for its potential against COVID-19 due to in vitro efficacy against coronaviruses. This study reviews Remdesivir's adverse effects in COVID-19 patients.Methodology: While Remdesivir shows promise, recent studies raise efficacy concerns. Adverse drug event (ADE) documentation is vital due to limited pre-pandemic ADE data. WHO VigiBase® analysis (2015–2020) and COVID-19 ADE studies were undertaken, focusing on age, severity, region, and organ impact. 1086 ADEs emerged from 439 case reports by July 19, 2020, in VigiBase®, reducing to 1004 after duplicates were removed. ADEs primarily related to COVID-19 patients (92.5%), notably from the Americas (67.7%). Mainly in males above 45, ADEs were serious (82.5%). Key ADEs encompassed elevated hepatic enzymes (32.1%), renal damage (14.4%), increased creatinine levels (11.2%), and respiratory failure (6.4%).Conclusion Liver and kidney function deterioration emerged as frequent ADEs, underscoring the need for vigilance during Remdesivir treatment. These findings align with regulatory documents. In sum, COVID-19 has prompted swift therapeutic responses, with Remdesivir being explored as a potential treatment. This study sheds light on associated ADEs, highlighting the importance of monitoring and informed decision-making.
Sustainable green synthesis of ZnFe2O4@ZnO nanocomposite using Oleaster tree bark methanolic extract for photocatalytic degradation of aqueous humic acid in the presence of UVc irradiation
Authors: Asri Majid , Naghizadeh Ali , Hasani Amirhesam , Mortazavi-Derazkola Sobhan , Javid Amirhossein , Masoudi Fatemehsadat 
Published: August 2023

Abstract

One of the most important humic substances in water is humic acid. These substances enter water sources through soils, sediments of aquatic animals, plants and sewage. Therefore, removing them from water sources is very important. In this study, the photocatalytic removal of humic acid was investigated using zinc ferrite nanoparticles loaded with zinc oxide (ZnFe2O4@ZnO). This research was conducted in an experimental-interventional way in a batch reactor on a laboratory scale. A novel and facile method was applied for catalyst synthesis in different conditions, and it was structurally and morphologically characterized by XRD, FT-IR, SEM, DLS and EDS mapping techniques. The effects of pH (3–11), nanoparticle dose (0.005–0.1 g/L), and humic acid concentration (2–15 mg/L) were examined up to 120 min of time. The results showed that the efficiency of humic acid degradation by ZnFe2O4@ZnO reached 95% in optimal conditions. Also, it was found that this nanocomposite has an acceptable reusability and recovery after being tested in five stages.
Flood forecasting by means of dynamical downscaling of global NWPs coupling with a hydrologic model at Nong Son-Thanh My River basins
Authors: Trinh Toan , Do N. , Trinh L. , Carr K. 
Published: August 2023

Abstract

Almost every year, Vietnam suffers floods resulting in the loss of many lives and considerable costs for damaged and lost properties. This study proposes a forecasting system that couples the dynamical downscaling technique with hydrologic models to forecast real-time flood events with a lead time ranging from one to three days. This approach is demonstrated by applying a regional numerical weather prediction and physically based hydrologic model to the Thanh My and Nong Son watersheds. System inputs are provided by two global NWPs, the global forecasting system (GFS) and the global spectral model (GSM). A WEHY-WRF was selected as the hydrologic-atmospheric component for the proposed system. WEHY-WRF was successfully implemented and validated before testing the real-time forecasting system over the Nong Son-Thanh My watersheds. Overall, the comparison between the model simulations and corresponding observations shows the rainfall and flood forecast by WEHY-WRF-GFS match quite well with observation data and perform better than WEHY-WRF-GSM. However, all forecasting results are generally encouraging considering the correlation coefficients for most events are acceptable. The forecast methodology has demonstrated it as a comprehensive reliable technology that may be universally applied for flood prediction through the coupling of dynamical downscaling technique and hydrologic models.
Experimental and statistical modeling of the effect of process modification and wastewater characterization on greenhouse gas emissions for a dairy industry wastewater treatment plant: A minimization approach
Authors: Yapıcıoğlu Pelin Soyertaş , Yalçın Hamza , Yeşilnacar Mehmet İrfan 
Published: August 2023

Abstract

This study aimed to determine the effect of design conditions and wastewater characterization on greenhouse gas (GHG) emissions from an industrial wastewater treatment plant. Analysis of variance, correlation analyses, heat-mapping, and principal component analyses (PCA) were performed to determine the correspondence between GHG emissions and wastewater characterization. Then, a new empirical model based on the correlation of wastewater characterization has been developed. This study has concentrated on using process modification to mitigate GHG emissions. If an aeration tank is operated at 36 h of hydraulic retention time and 20 days of solid retention time at design conditions, an average reduction of 45.4, 45.3, and 45.2% in carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O) emissions, respectively, have been ensured. According to correlation analysis, a moderately significant positive correlation was found between effluent chemical oxygen demand values and CO2 and CH4 values (r = 0.909, r = 0.937). N2O emissions were closely related to Total Kjeldahl Nitrogen input values (r = 0.876). GHG emissions have been calculated using this correlation, and the results overlapped with the monitoring values. The estimated results of GHG emissions based on wastewater characterization have converged to in situ monitoring results, by an average of 82%.
Novel Approaches to Control Diabetes
Authors: Dmello Malissa Mathew , Bhagwat Geeta 
Published: August 2023

Abstract:
Diabetes is a chronic, long-term, incurable, but controllable condition. Diabetes mellitus (DM) is a group of metabolic disorders characterized by hyperglycemia that results from defects in insulin secretion, insulin action, or both. People who have diabetes often experience a variety of symptoms, including blurry vision, excessive thirst, fatigue, frequent urination, hunger, and weight loss. This review article includes a discussion on diabetes types, symptoms, diagnostic tests, and various therapies for treating, controlling, and managing blood glucose levels, with a focus on its most recent innovation of therapies and medications. Diabetes management will also be reviewed, along with clinical pharmacodynamics, bioavailability, advantages, and complications of combined drugs/medications.
Controversial Australian Snakebite Treatment: The Deepest Cut of All
Authors: Singline Paul , Bush Brian 
Published: August 2023

Background:
In Australia, until the late 1960s, the emergency first aid treatment for venomous snakebite included cutting to cause bleeding at the bite site in the mistaken belief that it would flush toxins from the wound, thus reducing the patient’s systemic envenoming. However, it failed in this regard and instead caused the patient additional discomfort. Today, again, cutting is used in hospitals during surgical fasciotomies when managing snakebite.

Objective:
The study aimed to report on the rare use of hand and forearm fasciotomies in Australia in October 2021 following snakebite, and highlight the resultant extended morbidity experienced by the patient.

Patient Account:
Common mulga snake (Pseudechis australis) bite has been reported in the Pilbara region, Western Australia. The incident has been reported by a 39-year-old male snakebite victim, with his narrative detailing the events prior to the snakebite until the completion of his outpatient treatment.

Conclusion:
The consensus worldwide is that antivenom is the primary treatment for venomous snakebite and, although a patient may present with symptoms mimicking compartment syndrome, this disease is extremely rare, especially in Australia, where the fangs of endemic snakes are generally too small to penetrate sufficiently deep to cause subcutaneous swelling. The avoidance of surgical intervention in snakebite treatment resulted in much better outcomes for the patient.
Pengembangan Modul Mata Pelajaran Dasar-Dasar Otomotif Model Discovery Learning Melalui Pendekatan Scientific
Authors: Supriadi Supriadi , Maulana Fajar , Ustafiano Bintha 
Published: August 2023

This research aims to produce teaching modules at SMK Negeri 8 Tebo Class X Automotive Engineering Expertise Program that are valid, practical, and effective for improving student learning outcomes. The method used is the Research and Development method. The Automotive Fundamentals subject module uses the 4-D (Four-D) development model. The subjects of this study were 31 students of class X Automotive Engineering at SMK Negeri 8 Tebo. The instruments used were validation sheets, teacher and student response questionnaires, and pretest and posttest learning outcomes tests. The results of this study stated that the teaching modules developed were declared valid after being validated by three validators. Besides being proven practical, the modules developed are also effective. This study demonstrates that a scientific approach to developing modules can have a positive impact.
Tujuan dari penelitian ini adalah menghasilkan modul ajar di SMK Negeri 8 Tebo Kelas X Program Keahlian Teknik Otomotif yang valid, praktis dan efektif digunakan untuk meningkatkan hasil belajar siswa. Metode yangigunakan adalah metode Research and Development. Modul mata pelajaran Dasar-dasar Otomotif mengunakan model pengembangan 4-D (Four-D). Subyek penelitian ini adalah siswa kelas X Teknik Otomotif SMK Negeri 8 Tebo yang berjumlah 31 Orang. Instrumen yang digunakan adalah lembar validasi, angket respon guru dan siswa, dan tes hasil belajar pretest dan postest. Hasil penelitian ini menyatakan modul ajar yang dikembangkan dinyatakan valid setelah divalidasi oleh tiga validator. Selain terbukti praktis, modul yang dikembangkan juga efektif. Kajian tersebut memberikan bukti bahwa penggunaan pendekatan saintifik dalam mengembangkan modul dapat memberikan dampak positif.
Efektifitas Asesmen Pembelajaran Berbasis Quiziz Pada Mata.Pelajaran.Kelas VII.di SMP Negeri 2 Padang
Authors: Hilahi Wahyu , Yeni J Fetri 
Published: August 2023

The purpose.of .his study.is to.determine the efficacy of the application Quiziz-based learning assessments which are useful for improving student learning outcomes, and can assist teachers in carrying out evaluations easily. Where students tend to be inactive, less interested and less interested during learning activities. This is because the assessment carried out is not interesting so that students are not challenged to take the exam The type of study used is a quantitative approach in a quasi-experimental form. The study was conducted on 25 of her students, including all students in Class VII of SMP Negri 2 Padang. A total of 229 persons consisted of samples from 8 classes and classes VII.5 (control class) and VII.2 (experimental class). The data analysis technique uses the t-test (t-test), which has previously been tested for normality and homogeneity. The results show that tcount = 33.430 is greater than ttable = 1.678 using the tcount test formula to test the hypothesis. The average learning outcome scores of students using quiz-based learning assessment (experimental teaching) are higher than the average learning outcome scores of students who did not use quiz-based learning assessment. This is consistent with students' average learning outcomes of 84.78 using quiz-based learning assessment, compared to 78.77 without quiz-based assessment.
Analisis Konstruksi Soal Tes Pilihan Ganda Mata Pelajaran Sejarah di SMA Negeri 6 Pariaman
Authors: Pramanda Agi , Aisiah Aisiah 
Published: August 2023

Penelitian ini bertujuan untuk mendeskripsikan validitas isi dan ketepatan konstruksi soal tes pilihan ganda pada ujian akhir semester ganjil sejarah kelas X SMA Negeri 6 Pariaman secara kualitatif tahun pelajaran 2021/2022. Jenis penelitian ini adalah penelitian evaluatif dimana penelitian ini menganalisis karakteristik butir-butir untuk menentukan kualitasnya ditinjau dari validitas isi sebagai analisis kualitatif (rasional). Metode yang digunakan dalam penelitian ini adalah metode dokumentasi. Kemudian hasilnya dideskripsikan untuk memperoleh analisis yang komprehensif terhadap masalah penelitian. Objek penelitian ini adalah soal Ujian Akhir Semester Ganjil untuk mata pelajaran sejarah kelas X. Teknik analisis data untuk validitas isi dilakukan dengan menyesuaikan kisi-kisi soal dengan silabus, menyesuaikan soal tes yang dianalisis dengan silabus, dan membuat persentase validitas isi soal. Validitas soal tes pilihan ganda pada kelas X sejarah dinilai oleh tiga validator, ketiga validator tersebut adalah dosen Jurusan Sejarah Universitas Negeri Padang yang memiliki keahlian di bidang evaluasi.Hasil penelitian berdasarkan validasi oleh ketiga validator tersebut menunjukkan bahwa keseluruhan soal tes pilihan ganda pada ujian akhir semester ganjil mata pelajaran sejarah kelas X SMA Negeri 6 Pariaman yang diaanlisis berdasarkan format penelahaan soal pilihan ganda dinyatakan layak dengan sedikit revisi berdasarkan komentar yang diberikan oleh ketiga validator.Sehingga dapat disimpulkan soal tes pilihan ganda pada ujian akhir semester ganjil kelas X SMA Negeri 6 pariaman berdasarkan telaah secara kualitatif dinyatakan layak digunakan dengan sedikit revisian untuk soal ujian akhir semester ganjil kelas X SMA Negeri 6 pariaman tahun pelajaran 2021/2022.
Modeling the trajectory of CD4 cell count and its effect on the risk of AIDS progression and TB infection among HIV-infected patients using a joint model of competing risks and longitudinal ordinal data
Authors: Alafchi Behnaz , Mahjub Hossein , Tapak Leili , Poorolajal Jalal , Roshanaei Ghodratollah 
Published: August 2023

Background: This study was conducted to better understand the influence of prognostic factors and the trend of CD4 cell count on the risk of progression to acquired immunodeficiency syndrome (AIDS) and tuberculosis (TB) infection among patients with human immunodeficiency virus (HIV) in a developing country.
Methods: The information of 1530 HIV-infected patients admitted in Behavioral Diseases Counseling Centers, Tehran, Iran, (2004-2014) was analyzed in this study. A joint model of ordinal longitudinal outcome and competing events is used to model longitudinal measurements of CD4 cell count and the risk of TB-infection and AIDS-progression among HIV patients, simultaneously.
Results: The results revealed that the trend of CD4 cell count had a significant association with the risk of TB-infection and AIDS-progression (p<0.001). Higher ages (p<0.001), the history of being in prison (p=0.013), receiving antiretroviral therapy (ART) (p<0.001) and isoniazid preventive therapy (IPT) (p<0.001) were associated with the positive trend of CD4 cell count. Higher ages were also associated with higher risks of TB (p<0.001) and AIDS-progression (p<0.001). Furthermore, ART (p=.0009) and IPT (p<0.001) were associated with a lower risk of TB-infection. In addition, ART (p<0.001) was associated with a lower risk of AIDS-progression. Moreover, individuals being imprisoned (p=0.001) and abusing alcohol (p=0.012) were more likely to have TB-co-infection.
Conclusions: The used joint model provided a flexible framework for simultaneous studying of the effects of covariates on the level of CD4 cell count and the risk of progression to TB and AIDS. This model also assessed the effect of CD4 trajectory on the hazards of competing events.
The Economic Burden of Multiple Myeloma. Definition of a Model for Forecasting Patients’ Costs
Authors: Corso Alessandro , Corso Daniele , Mangiacavalli Silvia , Cartia Claudio , Ganzetti Maya , Cocito Federica , Ferretti Virginia Valeria , Di Novi Cinzia , Arcaini Luca 
Published: August 2023

Background: The aim of this study was to evaluate healthcare costs in a single-centre population of patients with multiple myeloma (MM), in an attempt to develop a model for forecasting costs.
Methods: A cohort of 387 MM patients, diagnosed at Policlinico San Matteo (Pavia, Italy), between 2002 and 2014, was analysed grouping patients into those eligible (n=223) or not eligible (n=164) for transplantation. After descriptive statistics, the benchmark model - Ordinary Least Squares - and different variations of the Generalized Linear Model were adopted.
Results: The average total cost per patient was around €28,500 for patients not eligible for transplantation and around €87,000 for the eligible ones. The difference in marginal costs for transplant-eligible patients was probably due to higher costs for hospitalisation and the costs of the transplant procedure itself. The analysis highlighted four determinants useful for building a model to forecast expenditure: age, bortezomib use, lenalidomide use, and number of lines of therapies. The two most important determinants of expenditure were use of the novel agents and the total number of lines of therapy, which reflects a higher number of doses and a greater need for accesses to hospital.
Conclusion: In conclusion, using a Generalized Linear Model, we identified four determinants in our cohort which were useful for building a model to predict expenditure for MM patients. Although the analysis was performed in a particular setting in a single hospital, the model could be applied to any scenario of patients.