bluuebunny/crossref_metadata_2025_split huggingface dataset:
In silico molecular docking and ADMET properties of prunetin compounds for diabetic nephropathy effect
Authors: Samy Jose Vinoth Raja Antony , Natesan Vijayakumar 
Published: November 2022

Abstract
Diabetic nephropathy (DN) is one of the major long term hurdles of diabetes mellitus. Type 1 diabetes affects 30% of individuals while type 2 diabetes mellitus (T2DM) affects 40% of individuals. DM is now used in a greater number of anti-diabetic medications, but there are a number of disadvantages, including drug resistance, decreased effectiveness, negative effects, and even toxicity. The anti-diabetic alternative medications for isoflavnoid compounds are used for the treatment of diseases and disorders with their fewer side effects, easy availability, and low cost. Hence, the present study was Prunetin (PRU) an methoxyflavonoids from the isoflavone family. In this compound has been used for in silico screening for diabetic nephropathy potential, were performed with four target proteins: insulin degrading enzyme (IDE), glucose transporter 2 (GLUT2), kidney injury molecule 1 (KIM-1), and glutamine-fructose-6-phosphate aminotransferase (GFPT). ChemSpider and NCBI PubChem databases software were used for ligand preparation in a molecular docking study. In silico druglikeness, ADME, and toxicity studies prediction of PRU using the Swiss ADME server and ProTox-II web server. Molecular docking studies for targeted proteins with drug candidates that have inhibitory action by minimum binding energy and affinity score. Hence the research suggested that PRU could be a potential diabetic nephropathy drug.
Salivary Alpha-Amylase (sAA) Concentration Related to Fatigue Biomarkers in Palm Oil Offiffice Workers in Jambi Province: Preliminary Study
Authors: Kusmawan David 
Published: November 2022

Abstract
Background
The use of Salivary alpha-amylase (sAA) has the potential as a biological sign of work-related fatigue caused by stress and mental workload. This study aimed to determine the levels of sAA and the factors that influence it.
Methods
This study used a cross-sectional design with a sample of 40 office staff respondents at PT XYZ (Persero). Measurements were made to determine work-related fatigue, mental workload, and sleep quality. Meanwhile, the measurement of basic sAA levels was carried out using the sandwich ELISA method using the Bioenzy® Kit Assay.
Results
Results of the descriptive analysis showed that workers were dominated by men by 75% with high education level and marital status of 72.5%. Mental Workload Scoring with NASA-TLX shows an average score of 70.91 which is categorized as high workload. Analysis with Pearson correlation showed that the variables of work-related fatigue and sleep quality were significantly correlated with sAA concentration. The final model showed that the work-related fatigue variable indicated that for each one-unit increase in work-related fatigue, the sAA (U/mL) concentration will increase by 15.901 (U/mL). While the sleep quality variable showed the result that for every unit increase in sleep quality, the sAA concentration will decrease by 13.38 (U/mL).
Conclusion
sAA concentration can be used as a potential candidate for biological markers related to sleep quality and work-related fatigue
New technological trajectories to reduce fossil-fuel pollution and support sustainable socioeconomic systems
Authors: Coccia Mario 
Published: November 2022

Abstract

One of the fundamental problems in modern economies is high carbon emissions and diffusion of pollutants from industrial activities focused on fossil-based energy that generate detrimental effects on climate, environment and human population. The goal of this study is to analyze new trajectories of technologies that can reduce, whenever possible, environmental degradation and support a sustainable growth. A model of technological evolution is proposed to detect new technological trajectories directed to sustainability. Results reveal that technologies with a high sustainability perspective for reducing environmental pollution and climate change are: offshore wind turbines, carbon capture storage technology associated with renewable energy, cellular agriculture and blockchain technology directed positive environmental impact. Findings here can sustain decision making of policymakers towards investment in promising technological directions that reduce environmental pollution and sustain ecological transition and sustainable development in human society.
Analysis of Epidermal Growth Factor Receptor (EGFR) Expression and Amplification in Cholangiocarcinoma and Correlation with Histological Types
Authors: Costa Vanesse Maria , Soares Ibere Cauduro , Pereira Marina Alessandra , Souza Nathalia Caroline Santiago e , Assato Aline Kawassaki , Jukemura José , Jureidini Ricardo , Alves Venâncio Avancini Ferreira , Mello Evandro Sobroza 
Published: November 2022

Abstract
Evaluate expression and amplification of EGFR in cholangiocarcinoma (CCA) and correlate with the different histological types. 74 patients with CCA from 1992 to 2017 were evaluated. Cases were classified in large duct subtype (DL), cholangiolocarcinoma (CLC), intermediate cell carcinoma (ICC) and papillary (LP).The immunohistochemistry (IHQ) was conducted in 71 cases and the amplification of EGFR was using the fluorescence in situ hybridization (FISH) in 48 cases. From the 74 patients, most lesions affected the perihilar topography (54%, 40/74), extrahepatic portion (27%, 20/74) and the least frequent was the intrahepatic (19%, 14/74). Periductal infiltrative macroscopic growth patterns 60.9% (45/74) and the mass forming 33.7% (25/74) were the predominant, intraductal pattern 5.4% (4/74) lower frequency. The DL subtype was the most frequent (66.2%, 49/74), followed by the CLC (21.7%, 16/74). The LP (8.1%, 6/74) and the ICC (4.0%, 3/74) had a lower frequency. In the IHQ, EGFR showed positivity in 80.2% (57/71), presenting moderate intensity 2+ in 55.0% (39/71) of the cases and strong intensity 3+ in 25.3% (18/71), 14 were detected as negative 19.8%. The FISH, of the 48 cases, 10.5% (5/48) were amplified by the gain in the number of copies of the EGFR gene and 89.5% (43/48) were considered negative. The amplified cases were distributed in 12.5% (4/32) of the DL subtype and 12.5% (1/8) of the CLC subtype. The IHQ expression of EGFR in the tumor is high in all histological subtypes of CCA. EGFR amplification occurred in a small portion of the DL and CLC subtypes.
The perspective of a smart city by endorsing the nexus Bermuda triangle with the risk assessment of polluted water reuse in integrated water and food security management: the case of Semnan, Iran
Authors: Safaeian M. R. , Ardestani M. , Sarang A. 
Published: November 2022

AbstractLocated in a semi-arid and arid zone, Iran is suffering from growing challenges of water scarcity. In the paradigm of a circular economy, the reuse of treated wastewater in agriculture is currently regarded as a possible solution for alleviating the issues of water scarcity and pollution. Accordingly, this research aims to assess the use of polluted water in the integrated management of water resources in Semnan. The research used the Water Evaluation and Planning System (WEAP) software package to model and analyze the water sector. Also, the Bayesian network method was used to assess the risk of using polluted water and its effects on humans and plants. The research explored two general scenarios for the study site of Semnan. The first scenario assumes the increase in population, crops (food), and industries, and the second has the same assumptions plus an increase in agricultural efficiency (food production). Based on the results, the agricultural, urban, and industrial water demands are 37, 0.06, and 0.01 million m3 in the base year, respectively. The water demand in the next years will be higher due to population growth. Finally, it is safer to use the wastewater of both treatment plants of the region (Mehdishahr and Semnan) in the industry than in other sectors. Additionally, the wastewater of the Mehdishahr Sewage Treatment Plant is more reliable than that of the Semnan Sewage Treatment Plant.
COMPARAÇÃO DA PROPRIEDADE ANTIMICROBIANA DA CLOREXIDINA E DO HIPOCLORITO DE SÓDIO COMO IRRIGANTES ENDODÔNTICOS: UMA REVISÃO INTEGRATIVA
Authors: Vieira de Queiroz Artur , Maria Menezes Nóbrega Letícia 
Published: November 2022

Introdução: Durante o tratamento endodôntico, devido às complexidades anatômicas dos canais radiculares, a ação mecânica dos instrumentos não é suficiente para a completa desinfecção dos condutos. Dessa forma, se faz necessário o uso de soluções irrigadoras que possam potencializar a desinfecção do sistema de canais radiculares. Objetivo: Realizar uma revisão integrativa da literatura para comparar as propriedades antimicrobianas da clorexidina com o hipoclorito de sódio. Metodologia: A busca na literatura foi realizada no período de setembro de 2019 a agosto de 2021, nas seguintes bases de dados: PUBMED/MEDLINE, LILACS e SCIELO. Utilizando os descritores: clorexidina (chlorhexidine), hipoclorito de sódio (sodium hypochlorite), irrigante do canal radicular (root canal irrigant) e limpeza (cleaning). Utilizou-se como critérios de busca, trabalhos experimentais laboratoriais in vitro, publicados entre os anos de 2017 e 2021. Resultados: Foram encontrados 165 artigos, dos quais 15 foram selecionados ao final do processo. 8 trabalhos não encontraram diferença estatisticamente significativa entre a clorexidina e o hipoclorito, 5 artigos apresentaram resultados superiores do NaOCl e em 2 a clorexidina foi superior. Conclusões: Após análise da literatura, observamos semelhança entre a ação antimicrobiana do hipoclorito de sódio e da clorexidina, e podemos concluir que ambas apresentam boa ação antimicrobiana, justificando seu uso clinicamente.
Improvement the Durability of the Hot Mix Asphalt by Using Crumb Rubber
Authors: Aladwan Jamal Gazi , Altamseh Amani Soud , Awwad Mohammad , khalifat Ibrahim 
Published: November 2022

Introduction:
With the rapid economy growth and continuously increased consumption, a large amount of tire waste materials is generated

Objective:
This study attends to test the performance of many samples of asphalt concrete mix with adding the crumb rubber modifier (CRM) of 5%, 10%, 15%, 20% and 25% as percentage of asphalt cement content (AC) to address the best content of CRM (optimum) for asphaltic mixes the hot one HMA

Methods:
The Marshall design was used here to examine the influence of the Optimum CRM content. The CRM is blended with AC using wet process. Subsequently, by obtaining low price and economic mixes that will reduce the optimum asphalt content OAC

Results and Discussion:
The laboratory tests show that optimum rubber content is 17% by the weight of the asphalt cement. This meets the ASTM Standards 2001and Jordanian MPWH requirements

Conclusion:
Adding the CRM to HMA will increase the consistency and viscosity of the mixes which leads to higher rutting resistance, reduce fatigue and reflecting cracking and improve durability
Do People Desire to Cycle More During the COVID-19 Pandemic? Investigating the Role of Behavioural Characteristics through a Structural Model
Authors: Rashidi Mahdi , SeyedHosseini Seyed-Mohammad , Naderan Ali 
Published: November 2022

Background:
Most cycling behaviour studies have defined it using objective variables and focused on normal conditions.

Objective:
This study applies latent class analysis to a sample of 375 survey respondents in Tehran, the Capital city of Iran, exploring the variables influencing cycling behaviour during pandemic covid-19.

Methods:
We made a statistical comparison among the data obtained from the questionnaires and the statistical data of the 2016 census. A structural equation modeling (SEM) was developed.

Results:
Fourteen indicators define three latent variables. Cycling behaviour is defined by these three latent factors and three indicators. This paper goes through each of the indicators and their impact on latent variables. The findings show that latent factors have a direct impact on cycling behaviour.

Conclusion:
Structural equation modeling (SEM) is a great tool for defining cyclist behaviour analysis that shows the positive and negative influence of variables on cycling rate during a covid-19 pandemic. There are some limitations in the area of this study in developing countries discussed in the paper.
Differentiation of Posterior Fossa Brain Tumors by Diffusion Weighted Imaging
Authors: Elashry Mohamed , Saleh Wafaa , Mahmoud Nermin , Tawfik Ahmed , Elsorougy Lamiaa 
Published: November 2022

Background:
Diffusion Weighted Imaging (DWI) and Apparent Diffusion Coefficient (ADC) map provide information on Magnetic Resonance Imaging (MRI) about the cellularity of the tumor and have an important role in the pre-operative differentiation of different tumor types. The aim of the current study is to differentiate between pediatric and adult posterior fossa brain tumours using DWI calculation of ADC value of these tumours and correlate our findings with the histopathological reported data.

Methods:
Our study included a total of 34 patients with posterior fossa brain tumours. Conventional MRI and MRI DWI were applied for each patient. The calculation of the ADC value was performed for the pediatric and adult posterior fossa brain tumours.

Results:
This study included 34 patients with posterior fossa brain tumours,19 males and 15 females while the cases were selected randomly from the neurosurgery department. Our study has been divided into pediatric group which included 11 patients and adult group with 23 patients. We found a significant difference in 1 (regions of interest) ROI ADC values between all types of pediatric posterior fossa brain tumours (p<0.001). Furthermore, there was a significant difference in 3 ROIs ADC values between all types of pediatric posterior fossa brain tumours (p<0.001). There were no significant differences in 1 ROIs ADC values as well as 3 ROIs ADC values between the adult posterior fossa brain tumors (p value> 0.05).

Conclusion:
ADC values are simple and readily available techniques for preoperative differentiation of the most common posterior fossa.
Comparison of Peritonitis Relapse Incidence in End-Stage Renal Disease Patients with Peritoneal Dialysis According to the Culture Results
Authors: Pratama Mirza Zaka , Rifa'i Achmad , Gunawan Atma , Mustamsir Nadina 
Published: November 2022

Background: Peritoneal dialysis (PD) is one of the modalities of renal replacement therapy (RRT) in end-stage renal disease (ESRD). One of the complications that are often found in the use of PD is peritonitis. Presence of the culture from the peritoneal fluid was known to be associated with the incidence of peritonitis relapse among ESRD patients with PD.
Aim: Comparing the incidence of relapse in patients with continuous ambulatory peritoneal dialysis (CAPD) with culture-negative and culture-positive in RSUD Dr. Saiful Anwar Malang.
Methods: This study measured the incidence of relapse after administration of CAPD peritonitis therapy. Descriptive data are presented in percentages, and numerical data is presented in Mean ± SD. The analysis test was carried out using the Mann-Whitney with p<0.05, significant.
Results: According to the culture results, it was found that 25.4% (18 of 71 PD peritonitis cultures) were culture-negative in patients with CAPD peritonitis. This result is slightly higher than the ISPD recommendation, with 20% culture-negative results. There were 3 out of 53 relapses in culture-positive subjects and 1 in 18 relapses in culture-negative subjects. There was no significant difference in the two groups, with an OR of 0.721 in the culture-positive group lead the culture-positive tended to experience no relapse by 0.721 times less than the patient with culture-negative.
Conclusion: In peritoneal dialysis peritonitis, there was no significant difference in the incidence of relapse in the positive and culture-negatives.
The Empowering Role of Web-Based Help Seeking on Depressive Symptoms: Systematic Review and Meta-analysis
Authors: Bizzotto Nicole , Marciano Laura , de Bruijn Gert-Jan , Schulz Peter Johannes 
Published: November 2022

Background
Most research on web-based help seeking for mental health problems has focused on the antecedents of this behavior. Therefore, little is known about the outcomes of web-based help seeking in general or in specific mental health issues.

Objective
This study was a systematic review and meta-analysis of the literature on the antecedents and consequences of web-based help-seeking behaviors for depressive symptoms.

Methods
A systematic literature search was carried out in 6 scientific databases, leading to 48 studies (for a total of 314,921 participants) included in the qualitative synthesis and 19 included in the meta-analysis.

Results
The results indicated a positive relationship between depressive symptoms and web-based help-seeking behaviors through online support groups (r=0.089; P=.009), and Generation Z (r=0.102; P=.008) tended to participate in support groups more than previous generations. In addition, web-based help seeking was positively related to empowerment (r=0.245; P=.004). Other forms of support reported included the internet and specific self-help tools, but no significant relationships were found with depressive symptoms.

Conclusions
More studies examining the outcomes are needed, together with a more rigorous assessment of web-based help-seeking behaviors. Ultimately, we propose a summary framework for the literature on this topic, including the antecedents, patterns of use, and outcomes of web-based help seeking in the context of depressive symptoms.
Long Short-term Memory–Based Prediction of the Spread of Influenza-Like Illness Leveraging Surveillance, Weather, and Twitter Data: Model Development and Validation
Authors: Athanasiou Maria , Fragkozidis Georgios , Zarkogianni Konstantia , Nikita Konstantina S 
Published: November 2022

Background
The potential to harness the plurality of available data in real time along with advanced data analytics for the accurate prediction of influenza-like illness (ILI) outbreaks has gained significant scientific interest. Different methodologies based on the use of machine learning techniques and traditional and alternative data sources, such as ILI surveillance reports, weather reports, search engine queries, and social media, have been explored with the ultimate goal of being used in the development of electronic surveillance systems that could complement existing monitoring resources.

Objective
The scope of this study was to investigate for the first time the combined use of ILI surveillance data, weather data, and Twitter data along with deep learning techniques toward the development of prediction models able to nowcast and forecast weekly ILI cases. By assessing the predictive power of both traditional and alternative data sources on the use case of ILI, this study aimed to provide a novel approach for corroborating evidence and enhancing accuracy and reliability in the surveillance of infectious diseases.

Methods
The model’s input space consisted of information related to weekly ILI surveillance, web-based social (eg, Twitter) behavior, and weather conditions. For the design and development of the model, relevant data corresponding to the period of 2010 to 2019 and focusing on the Greek population and weather were collected. Long short-term memory (LSTM) neural networks were leveraged to efficiently handle the sequential and nonlinear nature of the multitude of collected data. The 3 data categories were first used separately for training 3 LSTM-based primary models. Subsequently, different transfer learning (TL) approaches were explored with the aim of creating various feature spaces combining the features extracted from the corresponding primary models’ LSTM layers for the latter to feed a dense layer.

Results
The primary model that learned from weather data yielded better forecast accuracy (root mean square error [RMSE]=0.144; Pearson correlation coefficient [PCC]=0.801) than the model trained with ILI historical data (RMSE=0.159; PCC=0.794). The best performance was achieved by the TL-based model leveraging the combination of the 3 data categories (RMSE=0.128; PCC=0.822).

Conclusions
The superiority of the TL-based model, which considers Twitter data, weather data, and ILI surveillance data, reflects the potential of alternative public sources to enhance accurate and reliable prediction of ILI spread. Despite its focus on the use case of Greece, the proposed approach can be generalized to other locations, populations, and social media platforms to support the surveillance of infectious diseases with the ultimate goal of reinforcing preparedness for future epidemics.
PENGARUH KEPUASAN KERJA, MOTIVASI KERJA, DAN KOMITMEN ORGANISASIONAL TERHADAP KINERJA KARYAWAN DI PT. INDOMAS MITRA TEKNIK
Authors: Renata Irvan , Esmeralda Esmeralda , Veronika Veronika , Khairani Rafida 
Published: November 2022

Penelitian ini bertujuan mengetahui pengaruh Motivasi kerja terhadap Kinerja Karyawan PT Indomas Mitra Teknik, mengetahui pengaruh Kepuasan kerja terhadap Kinerja Karyawan PT Indomas Mitra Teknik, mengetahui pengaruh komitmen organisasi terhadap PT Indomas Mitra Teknik dan mengetahui pengaruh motivasi kerja, kepuasan kerja dan komitmen organisasi secara simultan terhadap kinerja karyawan PT Indomas Mitra Teknik dilaksanakan di PT Indomas Mitra Teknik dengan Populasi yaitu seluruh karyawan PT Indomas Mitra Teknik yang berjumlah 50 orang dengan menggunakan total sampling diperoleh sampel penelitian sebanyak 50 orang. Adapun hasil penelitian secara parsial diperoleh nilai thitung Motivasi kerja (X1) adalah 7,313 dan nilai ttabel sebesar 2,000 dengan ketentuan nilai thitung > ttabel (7,313 > 2,000) dan nilai sig <0,05 (0,000 < 0,05), secara parsial diperoleh nilai thitung Kepuasan kerja (X2) adalah 3,665 dan nilai ttabel sebesar 2,000 dengan ketentuan nilai thitung > ttabel (3,665 > 2,000) dan nilai sig < 0,05 (0,001 < 0,05), secara parsial diperoleh nilai thitung Komitmen organisasi (X3) adalah 8,748 dan nilai ttabel sebesar 2,000 dengan ketentuan nilai thitung > ttabel (8,748 > 2,000) dan nilai sig < 0,05 (0,000 < 0,05), dan Pengaruh secara simultan terhadap kinerja karyawan (Y) dimana nilai Fhitung Motivasi kerja (X1), Kepuasan kerja (X2) dan Komitmen organisasi (X3) adalah 147,496 dan nilai ttabel sebesar 2,479 dengan ketentuan nilai Fhitung > Ftabel (147,496 > 2,758) dan nilai sig <0,05 (0,000 < 0,05. Nilai Adjusted RSquare yaitu 0,882 atau adjusted R2 x 100% sebesar 88,20%, artinya variabel bebas penelitian berupa Motivasi kerja, Kepuasan kerja dan Komitmen organisasi memberikan sumbangsih besar dalam menjelaskan tentang Kinerja karyawan sebesar 88,20% sedangkan sisanya 11,80% dipengaruhi oleh faktor-faktor lain di luar penelitian. Kesimpulan penelitian adalah motivasi kerja berpengaruh signifikan Terhadap Kinerja karyawan , kepuasan kerja berpengaruh signifikan terhadap Kinerja karyawan, komitmen organisasi berpengaruh signifikan dan merupakan variabel dominan mempengaruh kinerja karyawan serta secara simultan motivasi kerja, kepuasan kerja, dan komitmen organisasi berpengaruh signifikan terhadap kinerja karyawan PT Indomas Mitra Teknik