bluuebunny/crossref_metadata_2025_split huggingface dataset:
Spatiotemporal variation characteristics of precipitation and urbanization effects in Shenzhen from 1960 to 2019
Authors: Shang Shouwei , Wang Yintang , Chen Xinyi , Cui Tingting , Pan Chaofan 
Published: August 2024

ABSTRACT

To explore the evolution of precipitation in megacities under changing environments and human activities, Shenzhen was chosen as the study area. Using daily precipitation data from 10 stations (1960–2019), the TFPW-MK and EOF methods analyzed the spatiotemporal characteristics of precipitation. The findings are: (a) Precipitation in Shenzhen shows a slight upward trend with spatial variations. Western stations exhibit a downward trend. The oscillation period of precipitation indicators is about 10–20 years, with an abrupt change in 1991. (b) Different precipitation indicators have similar distribution patterns. The first mode shows global consistency, indicating overall high or low precipitation, and a shift in the precipitation center from northwest (before 1990) to southeast (after 1990). The second mode shows an “East-West” reverse distribution. (c) Urbanization significantly affects precipitation distribution and has an enhancing effect on precipitation. The smaller the time scale, the stronger the effect of urbanization on extreme precipitation.
Artificial neural network and response surface methodology for modeling oil content in produced water from an Iraqi oil field
Authors: Alardhi Saja Mohsen , Jabbar Noor Mohsen , Breig Sura Jasem Mohammed , Hadi Ahmed Abdulrazzaq , Salman Ali Dawood , Al Saedi Laith Majeed , Khadium Maytham Khalaf , Showeel Hamza Abbas , Malak Haydar Muhamad , Mohammed Malik M. , Le Phuoc-Cuong 
Published: August 2024

ABSTRACT
The majority of the environmental outputs from gas refineries are oily wastewater. This research reveals a novel combination of response surface methodology and artificial neural network to optimize and model oil content concentration in the oily wastewater. Response surface methodology based on central composite design shows a highly significant linear model with P value &lt;0.0001 and determination coefficient R2 equal to 0.747, R adjusted was 0.706, and R predicted 0.643. In addition from analysis of variance flow highly effective parameters from other and optimization results verification revealed minimum oily content with 8.5 ± 0.7 ppm when initial oil content 991 ppm, temperature 46.4 °C, pressure 21 Mpa, and flowrate 27,000 m3/day which is nearly closed to suggested oily content 8.5 ppm. An artificial neural network (ANN) technique was employed in this study to estimate the oil content in the treatment process. An artificial neural network model was remarkably accurate at simulating the process under investigation. A low mean squared error (MSE) and relative error (RE) equal to 1.55 × 10−7 and 2.5, respectively, were obtained during the training phase, whilst the testing results demonstrated a high coefficient of determination (R2) equal to 0.99.
Coupling coordination relationship and influencing factors between green water use efficiency and new urbanization in the Huaihe River Ecological Economic Belt, China
Authors: Ma Wei , Wang Xinmin , Zhang Yalin 
Published: August 2024

ABSTRACT

Promoting the coordinated symbiosis of green water-use efficiency (GWUE) and new urbanization (NU) performs a vital function in facilitating high-quality development in China. Based on the panel data of 28 cities in the Huaihe River Ecological Economic Belt (HREEB) from 2011 to 2020, this study first evaluates GWUE and NU, and then uncovers their spatio-temporal evolutionary characteristics. On this basis, the coupling coordination degree (CCD) model, ordinary panel model, and spatial econometric model are used to analyze evolution pattern and driving factors of CCD between GWUE and NU. The results show that: (1) GWUE exhibits a modest downward trend, with the lower reaches being much higher than the middle and upper reaches. (2) NU has increased overall by 43.65%, showing a northeastern high and a southwesterly low spatial distribution. (3) CCD is rising, with the high-value areas mainly distribute in the Yangzhou–Taizhou region and the Southern Shandong region, while the low-value areas concentrate in the middle and upper reaches. (4) The spatial econometric model analysis shows that industrial structure, technological level, and water resource management contribute significantly directly to the CCD, but the spillover effects are markedly different.
Understanding water dynamics in Dal Lake: a comprehensive analysis of physiological parameters and seasonal variations
Authors: Sultan Seerat , Singh Shruti , Kumar Rajesh , Malik Showkat A. , Sheikh Javaid Hassan , Sudershan Amrit 
Published: August 2024

ABSTRACT

Maintaining the standard of water quality in an aquatic habitat necessitates continual assessment of its physicochemical properties. The purpose of this study was to evaluate physicochemical properties and to discuss the causes of spatiotemporal variability in key physicochemical parameters at five different locations of Dal Lake. Water samples were collected in four seasons for 3 years (i.e., January 2019–December 2021) to evaluate various physicochemical properties using standard methods. The analysis shows that the macrophytic development has increased due to organic and inorganic load, leading to the Lake's deterioration. The analysis indicates positive and negative correlations among various parameters across five sampling sites. Principal component analysis shows that two components (PC1 and PC2) explain 47.35, 47.54, and 48.11% of the variability in the years 2019, 2020, and 2021, respectively. From 2019 to 2021, the continuous decrease in dissolved oxygen and increased levels of magnesium, conductivity, alkalinity, total hardness, calcium hardness, total phosphorus, and nitrate-nitrogen suggest a trend toward eutrophication in the lake.
Numerical simulation of pressure loss and flow characteristics in combined elbow pipes for solid–liquid two-phase flow
Authors: Shi Xi , Chai Yuanyuan , Chen Hui , Tao Hu , Jin Qianwen 
Published: August 2024

ABSTRACT

The transport of solid–liquid two-phase flow is widely used in water conservancy, environmental protection, and municipal engineering. Accurate pressure loss calculation is crucial for hydraulic transport pipelines, particularly in the case of bends, valves, and other deformation parts. These factors directly impact the energy consumption and the investment of the system. This paper employed the Euler–Euler multiphase flow model to investigate the characteristics of solid–liquid two-phase flow in vertically positioned combined elbows. The model was initially validated using data from the literature. Subsequently, based on the validated model, an investigation was conducted to determine the relationship between pressure loss and various factors, including flow velocity, combined angle, particle concentration, and particle size. Finally, the changes in velocity distribution, particle concentration, and turbulent kinetic energy were analyzed. The results indicate that the pressure loss increases with the flow velocity, tends to decrease with the combined angle, and increases with the particle concentration. The relationship between pressure loss and particle size is more complex. The velocity distribution, particle concentration, and turbulent kinetic energy exhibit the variations caused by different factors.
Optimizing intermittent micro-aeration as a strategy for enhancing aniline anaerobic biodegradation: kinetic, ecotoxicity, and microbial community dynamics analyses
Authors: Câmara Isabelle , Ventura de Souza Victor , Brasileiro Vidal Ana Christina , Soares Fernandes Bruna , Magalhães Amaral Fernanda , Motteran Fabrício , Gavazza Savia 
Published: August 2024

ABSTRACT

Groundwater and soil contamination by aromatic amines (AAs), used in the production of polymers, plastics, and pesticides, often results from improper waste disposal and accidental leaks. These compounds are resistant to anaerobic degradation; however, micro-aeration can enhance this process by promoting microbial interactions. In batch assays, anaerobic degradation of aniline (0.14 mM), a model AA, was tested under three micro-aeration conditions: T30, T15, and T10 (30, 15, and 10 min of micro-aeration every 2 h, respectively). Aniline degradation occurred in all conditions, producing both aerobic (catechol) and anaerobic (benzoic acid) byproducts. The main genera involved in T30 and T15 were Comamonas, Clostridium, Longilinea, Petrimonas, Phenylobacterium, Pseudoxanthomonas, and Thiobacillus. In contrast, in T10 were Pseudomonas, Delftia, Leucobacter, and Thermomonas. While T30 and T15 promoted microbial cooperation for anaerobic degradation and facultative respiration, T10 resulted in a competitive environment due to dominance and oxygen scarcity. Despite aniline degradation in 9.4 h under T10, this condition was toxic to Allium cepa seeds and exhibited cytogenotoxic effects. Therefore, T15 emerged as the optimal condition, effectively promoting anaerobic degradation without accumulating toxic byproducts. Intermittent micro-aeration emerges as a promising strategy for enhancing the anaerobic degradation of AA-contaminated effluents.
Machine Learning Meets Physics-based Modeling: A Mass-spring System to Predict Protein-ligand Binding Affinity
Authors: Filgueira de Azevedo Walter 
Published: August 2024

Background:
Computational assessment of the energetics of protein-ligand
complexes is a challenge in the early stages of drug discovery. Previous comparative
studies on computational methods to calculate the binding affinity showed that targeted
scoring functions outperform universal models.

Objective:
The goal here is to review the application of a simple physics-based model to
estimate the binding. The focus is on a mass-spring system developed to predict binding
affinity against cyclin-dependent kinase.

Method:
Publications in PubMed were searched to find mass-spring models to predict
binding affinity. Crystal structures of cyclin-dependent kinases found in the protein data
bank and two web servers to calculate affinity based on the atomic coordinates were employed.

Results:
One recent study showed how a simple physics-based scoring function (named
Taba) could contribute to the analysis of protein-ligand interactions. Taba methodology
outperforms robust physics-based models implemented in docking programs such as
AutoDock4 and Molegro Virtual Docker. Predictive metrics of 27 scoring functions and
energy terms highlight the superior performance of the Taba scoring function for cyclin-
dependent kinase.

Conclusion:
The recent progress of machine learning methods and the availability of these
techniques through free libraries boosted the development of more accurate models
to address protein-ligand interactions. Combining a naïve mass-spring system with
machine-learning techniques generated a targeted scoring function with superior predictive
performance to estimate pKi.
Prescription Precision: A Comprehensive Review of Intelligent Prescription Systems
Authors: Tantray Junaid , Patel Akhilesh , Wani Shahid Nazir , Kosey Sourabh , Prajapati Bhupendra G. 
Published: August 2024

:
Intelligent Prescription Systems (IPS) represent a promising frontier in healthcare, offering the potential
to optimize medication selection, dosing, and monitoring tailored to individual patient needs. This comprehensive
review explores the current landscape of IPS, encompassing various technological approaches, applications,
benefits, and challenges. IPS leverages advanced computational algorithms, machine learning techniques,
and big data analytics to analyze patient-specific factors, such as medical history, genetic makeup, biomarkers,
and lifestyle variables. By integrating this information with evidence-based guidelines, clinical decision
support systems, and real-time patient data, IPS generates personalized treatment recommendations that
enhance therapeutic outcomes while minimizing adverse effects and drug interactions. Key components of IPS
include predictive modeling, drug-drug interaction detection, adverse event prediction, dose optimization, and
medication adherence monitoring. These systems offer clinicians invaluable decision-support tools to navigate
the complexities of medication management, particularly in the context of polypharmacy and chronic disease
management. While IPS holds immense promise for improving patient care and reducing healthcare costs, several
challenges must be addressed. These include data privacy and security concerns, interoperability issues, integration
with existing electronic health record systems, and clinician adoption barriers. Additionally, the regulatory
landscape surrounding IPS requires clarification to ensure compliance with evolving healthcare regulations.
Despite these challenges, the rapid advancements in artificial intelligence, data analytics, and digital
health technologies are driving the continued evolution and adoption of IPS. As precision medicine gains momentum,
IPS is poised to play a central role in revolutionizing medication management, ultimately leading to
more effective, personalized, and patient-centric healthcare delivery.
Green Synthesis of Silver Nanoparticles from Syzygium cumini (L.) Skeels
Seed Extract and their Potential Medicinal Applications
Authors: Kavital Apsara , B. Hiremath Murigendra , Vernekar Ritesh , S. Goudar Pradeep 
Published: August 2024

aims:
To synthesize silver nanoparticles from Syzygium cumini (L.) Skeels seed extract and their potential medicinal applications

background:
Nanotechnology is considered as one of the fastest developing area in biomedicine field. The green synthesis provides more eco-friendly and cost-effective nanoparticles.

objective:
Synthesis of silver nanoparticles from Syzygium cumini (L.) Skeels seed extract and their potential medicinal applications

method:
The synthesis of silver nanoparticles form Syzygium cumini seed extract was carried out in this study. The synthesized nanoparticles were characterized by UV-Vis spectroscopy, FTIR, SEM, XRD and EDX. They were evaluated for antioxidant, anti-inflammatory, antibacterial and anti-diabetic activity by DPPH inhibition, albumin denaturation inhibition, agar well diffusion, α-amylase and α-glucosidase assays respectively.

result:
Results: The surface plasmon resonance at 430 nm confirmed the formation of silver nanoparticles. They are stable, spherical in shape with the size ranging from 30 to 90 nm. The DPPH inhibition % of silver nanoparticles varied from 7.91±0.39% to 68.35±0.76%. The % inhibition of albumin denaturation was comparable to the diclofenac. Further the results of antibacterial activity revealed that the zone of inhibition for all the test bacteria varied from 14.33±0.58 to 25.33±0.58 mm where B. cereus was more susceptible. In addition, the % inhibition of α-amylase and α-glucosidase varied from 19.91±0.15% to 61.43±0.31% and 15.26±0.11% to 55.38±0.20% respectively.

conclusion:
This study is the first attempt of utilizing the silver nanoparticles synthesized from S. cumini seed extract for anti-diabetic activity. The study suggests that these nanoparticles could be well utilized in pharmaceutical industries as an efficient antioxidant, anti-inflammatory, antibacterial and anti-diabetic drug.

other:
Key words: Antibacterial activity; Anti-diabetic activity; Anti-inflammatory activity; Antioxidant activity; Silver nanoparticles; Syzygium cumini
Development of a Video Consultation Patient-Satisfaction Questionnaire (vCare-PSQ): A Cross-Sectional Explorative Study
Authors: Larrabee Sonderlund Anders , Quirina Bang Van Sas Tessa , Wehberg Sonja , Huibers Linda , Nielsen Jesper Bo , Søndergaard Jens , Assing Hvidt Elisabeth 
Published: August 2024

Background
Since the COVID-19 pandemic, the use of video consultation (VC) in primary care has expanded considerably in many countries. VC and other telehealth formats are often touted as a solution to improved health care access, with numerous studies showing high satisfaction with this care format among health professionals and patients. However, operationalization and measurement of patient satisfaction with VC varies across studies and often lacks consideration of dynamic contextual factors (eg, convenience, ease-of-use, or privacy) and doctor-patient relational variables that may influence patient satisfaction.

Objective
We aim to develop a comprehensive and evidence-based questionnaire for assessing patient satisfaction with VC in general practice.

Methods
The vCare Patient-Satisfaction Questionnaire (the vCare-PSQ) was developed according to the COSMIN (Consensus-Based Standards for the Selection of Health Measurement Instruments) guidelines. To achieve our overall objective, we pursued three aims: (1) a validation analysis of an existing patient-satisfaction scale (the PS-14), (2) an assessment of extrinsic contextual factors that may impact patient satisfaction, and (3) an assessment of pertinent intrinsic and relational satisfaction correlates (eg, health anxiety, information technology literacy, trust in the general practitioner, or convenience). For validation purposes, the questionnaire was filled out by a convenience sample of 188 Danish adults who had attended at least 1 VC.

Results
Our validation analysis of the PS-14 in a Danish population produced reliable results, indicating that the PS-14 is an appropriate measure of patient satisfaction with VC in Danish patient populations. Regressing situational and doctor-patient relational factors onto patient satisfaction further suggested that patient satisfaction is contingent on several factors not measured by the PS-14. These include information technology literacy and patient trust in the general practitioner, as well as several contextual pros and cons.

Conclusions
Supplementing the PS-14 with dynamic measures of situational and doctor-patient relational factors may provide a more comprehensive understanding of patient satisfaction with VC. The vCare-PSQ may thus contribute to an enhanced methodological approach to assessing patient satisfaction with VC. We hope that the vCare-PSQ format may be useful for future research and implementation efforts regarding VC in a general practice setting.
Analisis Penerapan Prosedur Pelayanan Pramusaji Salt Restaurant
Authors: Muliawan I Nyoman , Aprinica Ni Putu Isha 
Published: August 2024

Penelitian ini membahas tentang analisis penerapan prosedur pelayanan pramusaji Salt Restaurant di Eastin Ashta Canggu. Tujuan penelitian yaitu untuk mengetahui bagaimana penerapan SOP dan mengetahui apa saja hambatan dalam menjalankan SOP di Salt Restaurant Canggu. Penelitian ini dilakukan dari bulan Maret 2023 sampai bulan Juni 2023 dan jenis penelitian yaitu deskriptif kualitatif. Salt Restaurant Canggu memiliki 1 Manager, 1 Supervisor, 2 Waiter , 3 Dw Waiter, 2 Dw Waitress, 2 Dw hostes, dan 2 Training. Hasil dari penelitian ini yaitu SOP yang ada di Salt restaurant belum sepenuhnya dijalankan oleh waiter/waitress, hanya 82% yang sudah diterapkan dengan baik dan ada lagi 18% yang belum diterapkan dengan baik. Agar penerapan SOP di Salt restaurant berjalan dengan baik maka sebaiknya perlu evaluasi dan penekanan terhadap pentingnya penerapan standar operating procedure, dan memberikan pelatihan terhadap waiter/waitress agar penerapan SOP berjalan dengan lancar.

This study discusses the analysis of the implementation of the Salt Restaurant service procedures at Eastin Ashta Canggu. The purpose of this research is to find out how the SOP is implemented and to find out what are the obstacles in carrying out the SOP at Salt Restaurant Canggu. This research was conducted from March 2023 to June 2023 and the type of research is descriptive qualitative. Salt Restaurant Canggu has 1 Manager, 1 Supervisor, 2 Waiters, 3 Dw Waiters, 2 Dw Waitress, 2 Dw hostesses, and 2 Training. The results of this study are that the SOPs in Salt restaurants have not been fully implemented by waitresses/waitresses, only 82% have been implemented properly and there is another 18% which have not been implemented properly. In order for the implementation of SOP at a Salt Restaurant to run well, it is better to evaluate and emphasize the implementation of standard operating procedures, and provide training to waiters so that the implementation of the SOP runs smoothly.
Pemanfaatan Nangka Muda sebagai Bahan Pengganti Daging dalam Pembuatan Sempol Ayam
Authors: Setiawan I Made Ari , Mahendra I Wayan Eka 
Published: August 2024

Penelitian ini membahas tentang pemanfaatan nangka muda Sebagai bahan Pengganti daging dalam pembuatan sempol ayam. Penelitian ini bertujuan untuk mengetahui kualitas sempol dari segi rasa, tekstur, warna dan aroma, serta untuk mengetahui berapa lama masa simpan dari produk sempol nangka muda ini. Dari hasil uji organoleptik yang di tujukan kepada 15 orang panelis dan uji masa simpan produk yang dilakukan, peneliti akhirnya mendapatkan hasil bahwa kualitas sempol berbahan dasar nangka muda ini menunjukan hasil yang baik mulai dari segi rasa, tekstur, warna beserta aromanya dengan kualitas rasa mendapatkan skor tertinggi dengan total skor 68 dan kualitas warna mendapatkan nilai terendah yaitu dengan total skor 56 sedangkan pada hasil uji masa simpan produk penulis mendapatkan hasil yaitu sempol yang disimpan pada suhu ruangan hanya bertahan selama dua hari, sedangkan sempol yang disimpan pada suhu lemari Pendingin memiliki masa simpan yang lebih lama yaitu empat hari.

This study the authors discuss the use of young jackfruit as a substitute for meat in the manufacture of chicken sempol. This study aims to determine the quality of sempol in terms of taste, texture, color and aroma, as well as to find out how long the shelf life of this young jackfruit sempol product is. From the results of the organoleptic tests addressed to 15 panelists and the product shelf life tests carried out, the researchers finally got the result that the quality of sempol made from young jackfruit showed good results starting in terms of taste, texture, color and aroma with taste quality getting a score highest with a total score of 68 and color quality got the lowest score with a total score of 56 while in the results of the product shelf life test the authors get the result that sempol stored at room temperature only lasts for two days, while sempol stored at refrigerator temperature has a shelf life the longer one is four days.