bluuebunny/crossref_metadata_2025_split huggingface dataset:
Estimation in Deregulated Environment by using Spark and Big Data Analytics for Real Power Tracing
Authors: Modhugu Venugopal Reddy , Veeraboina Hemish , Punnaiah V. , Sunder Syam 
Published: April 2023

Abstract
Tracing real power in a deregulated environment is particularly challenging, because of unbundling restrictions and an expanding number of market participants. This study suggests utilizing Spark analysis and Bigdata to perform actual power tracing. For predicting the future power system for system planning, the load sharing of generators is calculated using the RED method. Spark is a ground-breaking data analytics and processing platform for the big data era. Spark is far more effective than traditional computing at tracing real power.
Investigating the relationship between habitat quality and immune function in a declining species: a case study of the eastern quoll (Dasyurus viverrinus).
Authors: Lego Luke 
Published: April 2023

Abstract
This meta-analysis investigates the relationship between habitat quality and immune function in the eastern quoll (Dasyurus viverrinus), an endangered marsupial species in Australia. We conducted a comprehensive literature search and identified 10 studies that met our inclusion criteria. Our results show that habitat quality has a significant impact on the immune function of eastern quolls, with individuals in degraded habitats exhibiting reduced immune function and increased susceptibility to disease. We also found evidence that habitat fragmentation and loss of genetic diversity may further exacerbate the negative effects of habitat degradation on immune function. Overall, our findings suggest that habitat conservation and restoration efforts are crucial for the long-term survival and health of the eastern quoll and other endangered species. Further research is needed to better understand the underlying mechanisms of this relationship and develop effective conservation strategies.
Zinc oxide nanoparticles regulate NF-kB expression and restrict inflammation response in Doxorubicin- induced kidney injury in rats
Authors: Elgohary Ahlam , Metwalli Faten , Mostafa Nasser , reffat Manar , El-Khawaga Omali 
Published: April 2023

Abstract
This study evaluated the biochemical, molecular, and histopathological mechanisms involved in renal injury and the effect of zinc oxide nanoparticles (ZnONPs) in experimental nephrotoxicity rats. ZnONPs were prepared by the sol–gel method and characterised by scanning and transmission electron microscopy (SEM and TEM). To explore the possible nephrotoxicity and antioxidant effect of ZnONPs, rats were grouped as follows: control group, ZnONPs-treated group, Doxorubicin group, and ZnONPs-Doxorubicin-treated group. Upon treatment with ZnONPs, a significant alteration was observed in the activities of superoxide dismutase, glutathione peroxidase, malondialdehyde, catalase, and the levels of kidney function, albumin, albuminuria, immune nuclear factor kappa B (NF-B), and interleukin-6 (IL-6) compared to the Doxorubicin group and control group. ZnONPs' administration to the doxorubicin group showed eminent renal injury control and restoration of the biochemical profile. This increases their active role in controlling kidney function in order to improve nephrotoxicity and inflammatory responses. Histopathological and immunohistochemical observations provided context for these findings. In conclusion, ZnO-NPs treatment revealed a renoprotective effect against the doxorubicin drug, probably via its antioxidant, anti-inflammatory, and anti-apoptotic properties. This shows the therapeutic application of ZnONPs as a safe anti-inflammatory and shows their potential for the control of renal injury.
A XGBoost Algorithm-based Fatigue Recognition Model Using Face Detection
Authors: Chen Xinrui , Zhang Bingquan 
Published: April 2023

Abstract
As fatigue is normally revealed in the eyes and mouth of a person's face, this paper tried to construct a XGBoost Algorithm-Based fatigue recognition model using the two indicators, EAR (Eye Aspect Ratio) and MAR(Mouth Aspect Ratio). With an accuracy rate of 87.37% and sensitivity rate of 89.14%, the model was proved to be efficient and valid for further applications.
Assessing salinity impacts on crop yield and economic returns in the Central Valley
Authors: Nicolas Floyid , Kamai Tamir , Ben-Gal Alon , Ochoa Jose , Daccache Andre , Ogunmokun Felix , Kisekka Isaya 
Published: April 2023

Abstract
Salt accumulation in the root zone can impair crop yields and profitability. This study utilized a biophysical model to evaluate the economic and environmental impacts of groundwater salinity on the yields and profits for four crops (alfalfa, almonds, table grapes, and processing tomatoes) across California's Central Valley. The model analyzed five different levels of groundwater/irrigation water salinity, which ranged from 0.5 to 5.5 dS/m, with up to 12 mm/day of irrigation water for simulation. The results showed that the model's relative yield prediction was best for alfalfa, while the profits prediction was best for almonds. The study also found that an irrigation water salinity level of 5.5 dS/m could cause a decrease in the relative yield of almonds by up to 40%. The spatial component developed for the model indicated that yield and profits would vary based on soil type and water salinity across the Valley. At a daily irrigation rate of 3 mm, no profits were predicted. When the daily irrigation was increased to 6 mm/day, profits of up to $1000/ha were possible for alfalfa and processing tomatoes. Profits for almonds and grapes reached up to $15000/ha at 9 mm of daily irrigation. The study emphasized the importance of considering irrigation water quality in water allocation and trading decisions, as it significantly impacts crop profitability. The methodology developed in this study can be applied to other regions facing similar challenges of water scarcity and salinity.
Use of convalescent plasma in COVID-19: is clinical severity more important than the intervention?
Authors: Dutra Valéria de Freitas , de Andrade Heitor Duarte , Nunes Viviane Regina Hernandez , Elia Gabriella Mafra , Torres Juliane Roberta Dias , Bub Carolina Bonet , Yokoyama Ana Paula Hitomi , Kutner José Mauro 
Published: April 2023

Abstract
Background COVID-19 convalescent plasma (CCP) was used in the early period of the pandemic, but the effectivity of this treatment showed different results, especially because of the possible ineffectiveness of passive antibodies, when an inflammatory response is already established. Objectives: The aim of this study is to compare the outcomes of two different cohorts of COVID-19 patients that received CCP transfusion in the years 2020 and 2021. Design and setting: This is a retrospective study from a tertiary hospital in São Paulo, Brazil. Methods: We included a retrospective cohort of patients that received convalescent compassionate plasma and another group with patients from a previous clinical study. We collected clinical and laboratory data on the day of transfusion and five days later. Patients with hematological or immunological conditions were excluded. A p-value < 0·05 was considered significant.Results CCP did not show to interfere in the outcomes of severe COVID-19 patients, when comparing two different cohorts transfused with different volumes and titles of neutralizing antibodies. Despite the improvement in some laboratory parameters, there was not impact on clinical outcomes. Dialysis had a negative impact on the ICU stay, days of hospitalization and days of mechanical ventilation. Each higher point on the day 0 WHO scale reduced the probability of hospital and ICU discharge, and the risk of mechanical ventilation discontinuation. Conclusions: In conclusion, the use of dialysis and the assessed clinical severity represented by WHO scale on day 0 had influence on the outcomes, but not the CCP transfusion.
Causal association between myocardial infarction and atrial fibrillation: A bidirectional Mendelian randomization study
Authors: Rao Jin , Wang Zhinong 
Published: April 2023

Abstract
Background At present, many studies have shown a significant correlation between myocardial infarction (MI) and atrial fibrillation (AF), but few focus on the bidirectional causal relationship between MI and AF. Therefore, this Mendelian randomization (MR) study was designed to examine the bidirectional causality between MI and AF.Methods We used the publicly available summary statistical dataset of MI from genome-wide analysis studies (GWAS; ebi-a-GCST011364; case = 14,825, control = 2,680). The summary statistical dataset of AF was obtained from a European population GWAS (finn-b-I9_AF_REIMB; case = 10,516, control = 116,926). A two-sample bidirectional MR analysis was performed using analysis methods including inverse-variance weighted (IVW), MR-Egger, and weighted median.Results In site-specific MI analyses, we screened 30 single nucleotide polymorphisms (SNPs) from GWAS as instrumental variables (IVs). Causal association between MI and AF can be supported by IVW (beta = 0.349, SE = 0.057, P < 0.001), MR-Egger (beta = 0.398, SE = 0.131, P = 0.005), and weighted median (beta = 0.352, SE = 0.068, P < 0.001). In the reverse MR analyses, we screened 20 SNPs as IVs and the casual effect of AF on MI was observed by IVW (beta = 0.047, SE = 0.022, P = 0.033).Conclusions Our MR study results showed a good causal effect of MI on AF. The MR analysis also found a causal effect of AF on MI.
Cost-effective Detection Model for Injected Automatic Dependent Surveillance-Broadcast Messages (ADS-B) for Secure Aviation Control
Authors: Al-Tamimi Ahmed , Al-Haija Qasem Abu 
Published: April 2023

Abstract
Automatic Dependent Surveillance-Broadcast (ADS-B) is considered the future of aviation surveillance and traffic control as it allows different types of aircraft to transmit and gain information about their and other nearby aircraft's positions, velocity, and various other variables periodically. But, as this protocol still show that it lacks in terms of security and that researchers are still developing more methods and frameworks in order to secure this technology, we decided to join the initiative and propose an efficient detection method to help aid with detecting any attempts at injecting these messages which would cause multiple risks to aircrafts such as causing collision avoidance system failure, reporting wrong status of an aircraft, or even stealing it. This paper focused mainly on three different attacks; path modification, ghost aircraft injection, and velocity drift attacks. The dataset we utilized consisted of authentic messages captured from the OpenSky Network and generated injected messages using PyCharm. This study aims to provide a revolutionary methodology that, even in the face of new attacks (zero-day attacks), can successfully detect injected messages. The main advantage was utilizing a recent dataset to create more reliable and adaptive training and testing materials, which were then preprocessed before using different machine learning algorithms to feasibly create the most accurate and time-efficient model. The best outcomes of the binary classification were obtained with 99.14% accuracy, an F1-Score of 99.14%, and a Matthews' Correlation Coefficient (MCC) of 0.982. At the same time, the best outcomes of the multiclass classification were obtained with 99.41% accuracy, an F1-Score of 99.37%, and a Matthews' Correlation Coefficient (MCC) of 0.988. The dataset is thought to offer good outcomes, but the model still requires more testing and a bigger dataset, bearing in mind that the model still needs to be tested against other types of attacks.
The Ease of Doing Business in the ESG Framework at World Level
Authors: Costantiello Alberto , Leogrande Angelo 
Published: April 2023

Abstract
In this article, we estimate the variable Ease of Doing Business-EDB in the context of Environmental, Social and Governance-ESG model. We use data from ESG World Bank dataset. We have used data from 193 countries in the period 2011-2020. The level of EDB is positively associated, among others, to “Individuals Using the Internet”, “Government Effectiveness”, “Cooling Degree Days”, and negatively associated to “Agriculture, Forestry, and Fishing, Value Added”, “Forest Area” and “Strength of Legal Rights Index”. Furthermore, we have applied a cluster analysis with the application of the k-Means algorithm optimized with the Elbow Method and we have found the presence of four clusters. Finally, we have proposed a confrontation among eight different machine-learning algorithms to predict the future value of EDB. We have found that Linear Regression is the best algorithm and that the level of EDB is expected to improve of 1.66% for the analysed countries.
JEL Classification: D7, D70, D72, D73, D78.
Recent Research on Lipase Immobilization with Multipoint Covalent Treatment by
Glutaraldehyde
Authors: Fan Xiulin , Zhang Pingbo , Teng Shiqi , Fan Mingming , Jiang Pingping , Haryono Agus , Leng Yan 
Published: April 2023

Abstract:
Immobilized lipase has played an essential role in the chemical and biological sciences
as a viable alternative to standard chemical catalysts. Glutaraldehyde is a low-cost
crosslinking agent at risk of being superseded by developing crosslinking compounds with
biocompatible, biodegradable, and non-toxic characteristics. The multipoint covalent treatment
method using glutaraldehyde has both advantages and disadvantages. Immobilization
techniques can be improved to improve the overall performance of immobilized lipase. The
most recent update on lipase immobilization with multipoint covalent treatment by glutaraldehyde
was summarized in this review. Covalent binding lipase on pre-activated support and
aggregation-crosslinking lipase into crosslinked enzyme aggregates (CLEAs) or adsorptioncrosslinking
lipase on support are the most common immobilization techniques. Based on the
above technologies, the advancement trends in important domains, such as the advancement of supports, additives,
reactors, and cross-linking agents, are summarized. In addition, the application of the improved immobilized lipase
by glutaraldehyde in the production of fatty acids, glycerides, biodiesel, and drug precursors was reviewed. In view
of this, we put forward further studies on multipoint covalent treatment in lipase immobilization with glutaraldehyde.
Various analytical methods are required to provide additional information about the structure of glutaraldehyde
and its crosslinked products for assisting the proper immobilization conditions. Applying the composite strategy
can also bring new opportunities for improving the efficiency of biological catalysts.
Different Smoothing Window Lengths can Estimate the Neuromuscular Fatigue Threshold at The same Intensity of the Lactate Threshold During the Leg Press Exercise
Authors: Marson Runer Augusto , de Sousa Nuno Manuel Frade , Scoz Robson Dias , Mendes Jose Joao Baltazar , Ferreira Luciano Maia Alves , de Melo Marco Aurélio Anunciação , Baldissera Vilmar , Freitas Lucas Filgueiras , Amorim César Ferreira 
Published: April 2023

Background:
This study aimed to compare different smoothing window lengths used to compute the RMS and their impact on RMS slope during leg press exercise and to compare the RMS slope behavior with lactate threshold.

Methods:
Twelve subjects performed an incremental test on a leg press machine where blood lactate concentration was measured at each stage. The RMS of vastus medialis (VM), vastus lateralis (VL) and rectus femuralis (RF) were computed for 200, 1500 and 3000ms windows length periods, and the RMS linear slope was used to interpret the results in the amplitude domain. The EMG fatigue threshold (EMGth) was determined for the quadriceps muscle during the three smoothing window lengths.

Results:
There was no significant difference (p> 0.05) in RMS slope between the three different RMS window length analyses for VM and VL muscles. The RMS slope was significantly higher (p ≤ 0.05) for the window length period of 1500 and 3000ms compared to 200ms in some intensities of exercise. The ICCs between the RMS slopes were 0.94 for RF and 0.95 for VL and VM. There was no significant difference (p> 0.05) between the EMGth at different window length periods and the lactate threshold (28.0 ± 3.7% of 1RM).

Conclusion:
Different smoothing window lengths to computed RMS could be used during resistance exercise without differences in RMS slope. The smoothing window lengths don´t influence EMGth intensity and are related to the lactate threshold.
Synthesis and characterization of ZnO, ZnO Doped Ag2O Nanoparticles and its Photocatalytic Activity
Authors: Sreenivas B , Chandana N. , Sai Chandra J. , Ch. Anil Kumar T. , Bhattacharya Sumanta , Kalyan Chakravarthi M. 
Published: April 2023

Aim:
Zinc oxide (ZnO) nanomaterials play an important role in many industries because of their amazing optical, electrical, mechanical, thermal, and structural capabilities.

Introduction:
The current study focuses on the production of ZnO nanoparticles for photocatalytic dye degradation activities, and three types of ZnO nanoparticles are prepared: pure ZnO nanocrystals extracted through chemical and biological route and Ag2O doped ZnO nanoparticles.

Methods:
The average particle size of chemically produced ZnO nanocrystals was predicted to be 34 nm, and SEM examination validated the creation of ZnO nanorods-like structure from chemical technique, which exhibits enhanced photocatalytic activity. X-ray diffraction study of Ag2O/ZnO nanoparticles revealed a hexagonal shape.

Results:
The average particle size was determined to be between 16 and 17 nm. The findings of the SEM examination also revealed that the produced Ag2O doped ZnO nanoparticles agglomerated in hexagonal forms and adhered as bulks and rods that increased with the amount of Ag nanofluids. As a result, it is determined that agglomerated Ag2O/ZnO nanoparticles with hexagonal and rod structures operate as an efficient photocatalytic agent.

Conclusion:
It is obvious that 25 ml of Ag2O nanofluid doped with ZnO produces an excellent photocatalyst for organic dye degradation and is appropriate for large-scale applications.
Literasi Digital Mahasiswa Jurusan Pendidikan IPS FKIP Universitas Sriwijaya
Authors: Dhita Aulia Novemy , Nurdiansyah Edwin 
Published: April 2023

Literasi digital merupakan kemampuan yang diperlukan di era internet saat ini. Terutama penggunaannya yang semakin meningkat di masa Pandemi Covid-19. Untuk mengetahui tingkat literasi mahasiswa Jurusan P. IPS, FKIP-UNSRI perlu dilakukan penelitian. Penelitian ini menggunakan metode survei dengan pendekatan deskriptif. Adapun populasi penelitian ini yaitu mahasiswa di Jurusan P. IPS, FKIP-UNSRI yang terdiri dari tiga program studi (Prodi) yaitu Pendidikan Sejarah, Pendidikan Pancasila dan Kewarganegaraan dan Pendidikan Ekonomi yang berjumlah 857 mahasiswa dari angkatan 2014-2020. Pengambilan sampel dilakukan dengan random sampling, dengan hasil sebanyak 555 mahasiswa yang mengisi angket. Hasil penelitian menunjukkan bahwa literasi digital mahasiswa yang diukur menggunakan aspek literasi digital Bawden yaitu kemampuan dasar literasi mahasiswa sebesar 92,5% (sangat baik); latar belakang pengetahuan sebesar 82,5% (baik); kompetensi utama literasi digital sebesar 71,63% (baik) dan sikap dan perspektif informasi sebesar 95,87% (sangat baik). Hasil ini menunjukkan jika literasi digital pada empat aspek yang diukur sudah baik.Kata Kunci: literasi, digital, internet, informasi, mahasiswa Digital literacy is a skill that is needed in today's internet era. Especially its use which is increasing during the Covid-19 Pandemic. To find out the literacy level of students of the P. IPS Department, FKIP-UNSRI needs to be conducted research. This study used a survey method with a descriptive approach. The population of this study were students in the P. IPS Department, FKIP-UNSRI which consisted of three study programs (Prodi) namely History Education, Pancasila Education and Citizenship and Economic Education, totaling 857 students from the 2014-2020 class. Sampling was done by random sampling, with the result that 555 students filled out a questionnaire. The results showed that the digital literacy of students measured using aspects of Bawden's digital literacy, namely the basic literacy skills of students of 92.5% (very good); background knowledge of 82.5% (good); the main competence of digital literacy is 71.63% (good) and attitudes and information perspectives of 95.87% (very good). These results indicate that digital literacy in the four measured aspects is good.Keywords: literacy, digital, internet, information, students
Cervical Myelopathy and Social Media: Mixed Methods Analysis
Authors: Elkaim Lior M , Levett Jordan J , Niazi Farbod , Alvi Mohammed A , Shlobin Nathan A , Linzey Joseph R , Robertson Faith , Bokhari Rakan , Alotaibi Naif M , Lasry Oliver 
Published: April 2023

Background
Degenerative cervical myelopathy (DCM) is a progressive neurologic condition caused by age-related degeneration of the cervical spine. Social media has become a crucial part of many patients’ lives; however, little is known about social media use pertaining to DCM.

Objective
This manuscript describes the landscape of social media use and DCM in patients, caretakers, clinicians, and researchers.

Methods
A comprehensive search of the entire Twitter application programing interface database from inception to March 2022 was performed to identify all tweets about cervical myelopathy. Data on Twitter users included geographic location, number of followers, and number of tweets. The number of tweet likes, retweets, quotes, and total engagement were collected. Tweets were also categorized based on their underlying themes. Mentions pertaining to past or upcoming surgical procedures were recorded. A natural language processing algorithm was used to assign a polarity score, subjectivity score, and analysis label to each tweet for sentiment analysis.

Results
Overall, 1859 unique tweets from 1769 accounts met the inclusion criteria. The highest frequency of tweets was seen in 2018 and 2019, and tweets decreased significantly in 2020 and 2021. Most (888/1769, 50.2%) of the tweets’ authors were from the United States, United Kingdom, or Canada. Account categorization showed that 668 of 1769 (37.8%) users discussing DCM on Twitter were medical doctors or researchers, 415 of 1769 (23.5%) were patients or caregivers, and 201 of 1769 (11.4%) were news media outlets. The 1859 tweets most often discussed research (n=761, 40.9%), followed by spreading awareness or informing the public on DCM (n=559, 30.1%). Tweets describing personal patient perspectives on living with DCM were seen in 296 (15.9%) posts, with 65 (24%) of these discussing upcoming or past surgical experiences. Few tweets were related to advertising (n=31, 1.7%) or fundraising (n=7, 0.4%). A total of 930 (50%) tweets included a link, 260 (14%) included media (ie, photos or videos), and 595 (32%) included a hashtag. Overall, 847 of the 1859 tweets (45.6%) were classified as neutral, 717 (38.6%) as positive, and 295 (15.9%) as negative.

Conclusions
When categorized thematically, most tweets were related to research, followed by spreading awareness or informing the public on DCM. Almost 25% (65/296) of tweets describing patients’ personal experiences with DCM discussed past or upcoming surgical interventions. Few posts pertained to advertising or fundraising. These data can help identify areas for improvement of public awareness online, particularly regarding education, support, and fundraising.