bluuebunny/crossref_metadata_2025_split huggingface dataset:
An Assessment of Vehicle Transport-Induced Air Pollution along a Traffic Corridor in Lagos
Authors: Ege Emmanuel , Adelugba AO , Adedeji Wasiu Oyediran , Oni Samuel Iyiola , Oke Sunday Ayoola , Asenime Charles 
Published: June 2024

Air pollution control is receiving more attention for policy support, however, in Lagos, Nigeria, this phenomenon is not being used to its fullest. Furthermore, the use of experimental data from localized field studies is dismally low, causing poor policy decisions. This work is a new initiative to collect and analyze transport-stimulated air pollution in three areas of Lagos: Iyana Ipaja, Egbeda, and Ikotun using a concentration of pollutants (CO, SO2, and NO2) and emission severities. At Iyana Ipaja, CO was above the safe limit stipulated by the Federal Environmental Protection Agency (FEPA) and SO2 and NO2 were below the safe limit. At Egbeda, NO2 and SO2 varied between 0.35-0.4 and 0.2-0.3 parts per million (ppm) with the highest value recorded during the PM peak while CO exceeded the maximum daily limit of 10 ppm. At Ikotun, the CO was 105.8ppm, which is above the stipulated value of 10ppm and SO2 was below the value stipulated by FEPA while NO2 varied between 0.15ppm and 0.45ppm, which is lower than the safe limit of 0.06 parts per million (ppm). Static and dynamic emission levels ( and ) for CO were most severe for Egbeda at (14.18 and 10.43 ppm/m), respectively. For SO2, ( and ) were most severe for Iyana Ipaja at (0.08 and 1.00 ppm/m), respectively. The ( and ) for Iyana Ipaja and Ikotun were tied at (0.08 and 1.00 ppm/m), respectively. The novelty of this work is the proposal of a robust dataset and analysis on the concentration of certain pollutants (CO, SO2 and NO2) and emission seventies in Lagos, which serves as a cornerstone approach to developing and implementing transportation and environmental policy in Lagos. Results suggest that the obtained method and data values adequately represent the air pollution values for policy decision usage.
The Effect of Size, Sales Growth, Current Ratio and Tattoo, on Company Value with ROE as a Mediating Variable (Study on Manufacturing Companies Listed on the Indonesia Stock Exchange in 2019-2021)
Authors: Widyakto Adhi , Souisa Johanis , Rachmawati Windasari , Karim Abdul 
Published: June 2024

This study was conducted based on two things: First, the phenomenon that during 2019-2021 many manufacturing industry companies listed on the Indonesia Stock Exchange, have a Price Book Value (PBV) smaller than one. The question is why the phenomenon occurs. Second, several studies relating to the question produced different findings. The question arises about the determinants of PBV. Is PBV influenced by SIZE, Growth, Current Ratio, Tattoo and ROE. This research uses two kinds of theories, namely; signaling theory, Trade Off Theory Agency Theory. The data used is secondary data, which comes from the Financial Statements of Manufacturing Industry Companies listed in the Indonesia Capital Market Directory in 2018-2021. This study used panel data with a sample of 230 from 431 all manufacturing companies during 2019, 2020, 2021. Sampling based on purposive sampling. This study aims to find out the relationship between firm size, sales growth, current ratio, and total asset turnover on return on equity and firm value. Data analysis used multiple linear regression with the help of the smartPLS program. The results showed that firm size had no significant negative effect on return on equity. Sales growth, current ratio, and total asset turnover have no significant positive effect on return on equity. Firm size has no significant positive effect on book value. Sales growth, current ratio, and total asset turnover have no significant negative effect on book value. Return on equity has a significant positive effect on book value.
Association of Metabolic Syndrome With Neuroimaging and Cognitive Outcomes in the UK Biobank
Authors: Qureshi Danial , Topiwala Anya , Al Abid Shehab Uddin , Allen Naomi E. , Kuźma Elżbieta , Littlejohns Thomas J. 
Published: June 2024

OBJECTIVE
Metabolic syndrome (MetS) has been linked to dementia. In this study, we examined the association of MetS with neuroimaging and cognition in dementia-free adults, offering insight into the impact of MetS on brain health prior to dementia onset.

RESEARCH DESIGN AND METHODS
We included 37,395 dementia-free adults from the UK Biobank database. MetS was defined as having at least three of the following components: larger waist circumference; elevated levels of triglycerides, blood pressure, HbA1c; or reduced HDL cholesterol levels. Multivariable-adjusted linear regression was used to assess associations of MetS with structural neuroimaging and cognitive domains.

RESULTS
MetS was associated with lower total brain (standardized β: −0.06; 95% CI −0.08, −0.04), gray matter (β: −0.10; 95% CI −0.12, −0.08) and hippocampal (for left side, β: −0.03, 95% CI −0.05, −0.01; for right side, β: −0.04, 95% CI −0.07, −0.02) volumes, and greater white matter hyperintensity (WMH) volume (β: 0.08; 95% CI 0.06, 0.11). Study participants with MetS performed poorer on cognitive tests of working memory (β: −0.10; 95% CI −0.13, −0.07), verbal declarative memory (β: −0.08; 95% CI −0.11, −0.05), processing speed (β: −0.06; 95% CI −0.09, −0.04), verbal and numerical reasoning (β: −0.07; 95% CI −0.09, −0.04), nonverbal reasoning (β: −0.03; 95% CI −0.05, −0.01), and on tests of executive function, where higher scores indicated poorer performance (β: 0.05; 95% CI 0.03, 0.08). More MetS components were also associated with less brain volume, greater WMH, and poorer cognition across all domains.

CONCLUSIONS
MetS was associated poorer brain health in dementia-free adults, characterized by less brain volume, greater vascular pathology, and poorer cognition. Further research is necessary to understand whether reversal or improvement of MetS can improve brain health.
Substancje bioaktywne i właściwości lecznicze fasoli zwykłej (Phaseolus vulgaris L.)
Authors: Nurzyńska-Wierdak Renata , Papliński Rafał 
Published: June 2024

Fasola zwykła (Phaseolus vulgaris L.) jest ważnym surowcem dietetycznym ze względu na wysoką zawartość białka, składników mineralnych, błonnika i niektórych witamin. Owocnia fasoli ma w swoim składzie glikoproteiny, aminokwasy, cholinę, trygonelinę, alantoinę, kwasy alifatyczne, kwas traumatynowy oraz polifenole (flawonoidy, kwasy fenolowe, garbniki) i jest surowcem leczniczym. Zaliczana jest do grupy surowców o działaniu moczopędnym, przeciwcukrzycowym, a także przeciwzapalnym, odtruwającym, rozkurczowym, regenerującym nabłonek i bakteriobójczym. Ekstrakty z surowca fasoli charakteryzują się ponadto działaniem przeciwutleniającym, przeciwdrobnoustrojowym i przeciwnowotworowym. Fasola jest bogata w przeciwutleniacze obejmujące różnorodne flawonoidy, takie jak antocyjany, flawonole, proantocyjanidyny, garbniki, glikozydy, a także szerokie spektrum kwasów fenolowych. Zawartość poszczególnych składników bioaktywnych zależy od odmiany, warunków uprawy, technologii suszenia oraz ekstrakcji. Surowiec fasoli znajduje szerokie zastosowanie w leczeniu m.in. cukrzycy, stanów zapalnych dróg moczowych, kamicy moczowej, chorób reumatycznych, jak również skazy moczanowej, wspomaga leczenie nadciśnienia tętniczego, uśmierza dolegliwości skórne.
Effects of the FIFA 11+ injury prevention programme on muscle strength and landing biomechanical markers of ACL injury during fatigue among youth soccer players
Authors: Bukry Saiful Adli , Justine Maria , Azidin Raja Mohammed Firhad Raja , Azhar Noor Izzati , Zolkafi Mohd Azrul Anuar , Lo Chi Ngai , Manaf Haidzir 
Published: June 2024

Abstract

Study aim: This study aimed to investigate the effect of the FIFA 11+ injury prevention programme on strength and on muscle strength and landing biomechanical markers of anterior cruciate ligament (ACL) injury during fatigue among youth recreational soccer players.

Material and methods: Thirty volunteer participants were assigned to the intervention group (n = 15) and control group (n = 15). The intervention group performed the FIFA 11+ programme as a warm-up activities, while the control group performed unstructured warm-up twice per week for 8 weeks. The data measurements were taken before fatigue simulation (PRE), immediately after simulation (POST5), after 20 min (POST20), and 35 min (POST35) after simulation before and after the completion of the intervention. Five-minute fatigue simulation was used for fatigue induction. Muscle strength was measured using an isokinetic machine during concentric and eccentric contractions of the hamstrings and quadriceps. Meanwhile, landing biomechanics was measured by the Landing Error Scoring System.

Results: No significant differences were observed in individual muscle strength, H/Q CONV, and H/QFUNC ratio. The biomechanical landing markers showed a significantly higher score in PRE (P = 0.004; effect size = 0.32) and POST5 (P = 0.007; effect size = 0.29) in the FIFA 11+ group compared to the control group.

Conclusion: Twice a week for eight weeks of FIFA 11+ is adequate to detect positive changes in biomechanical markers of ACL injury during fatigue.
Closing the Legal-Technical Gap in Digital Trade
Authors: Joneidy Sina , Rahimian Farzad , Arciszewski Tomasz 
Published: June 2024

Abstract
As digital trade continues to reshape the global economic landscape, the key objective of this study is to bridge a significant Legal-Technical gap characterised by the discord between rapid technological advancements and slower-evolving legal frameworks. This paper delves into the complexities of this gap and emphasises the need for a holistic approach to understand and address the multifaceted challenges it presents to businesses, policymakers, and the broader international trading system. This research offers a novel theoretical foundation for exploring and bridging the Legal-Technical gap in digital trade. Initially, it discusses the integration of legal and technical knowledge systems, which leads to the emergence of specific transdisciplinary knowledge as described by Andrew Sage's Theory of Systems. Subsequently, it explores the acquisition of universal knowledge about these systems through Herman Dooyeweerd's multi-aspectual philosophy. Furthermore, it proposes the development of a transdisciplinary knowledge representation using Fritz Zwicky's Morphological Method. Our analysis reveals that focusing on lingual, social, economic, and aesthetic aspects enables the prioritisation of critical factors essential for enhancing legal-technical functionality.
Using machine learning techniques to reconstruct the signal observed by the GRACE mission based on AMSR-E microwave data
Authors: Szabó Viktor , Osińska-Skotak Katarzyna , Olszak Tomasz 
Published: June 2024

Abstract
This study delves into the synergy between remote sensing and satellite gravimetry, focusing on the utilization of Advanced Microwave Scanning Radiometer (AMSR-E) data for modeling delta Total Water Storage (ΔTWS) values derived from the GRACE mission. Various machine learning algorithms were employed to investigate the concordance between Gravity Recovery and Climate Experiment (GRACE) and AMSR-E observations. Despite the limited correlation in circumpolar permafrost areas, ΔTWS was successfully modeled with an accuracy of a Root Mean Square Error (RMSE) of 3.5 cm. The Amazon region exhibited a notable model error, attributed to significant ΔTWS amplitude; the overall model quality was affirmed by Normalized Root Mean Square Error (NRMSE) and Nash-Sutcliffe Efficiency (NSE) metrics. Importantly, the effectiveness of AMSR-E Soil Moisture (SM) data, encompassing C (frequency of 4–8 GHz) and X (frequency of 8–12 GHz) ranges (~0.04 m and ~0.03 m wavelength, respectively) in modeling ΔTWS, even in heavily forested equatorial regions, was demonstrated.
Nintedanib: beneficial agent in post-COVID-19 Pulmonary Fibrosis
Authors: Țau Victoria , Antal Andreea Zabară , Antohi Paula Vasilache , Stoian Ioana Adelina , Pintilie Adriana Loredana , Trofor Antigona Carmen , Crișan-Dabija Radu Adrian 
Published: June 2024

Abstract
The pandemic of the coronavirus disease 2019 (COVID-19) has affected millions of people worldwide. Patients can develop a lot of different manifestations, from asymptomatic form to severe acute respiratory distress syndrome (ARDS). Pulmonary fibrosis, as a primary cause of mortality, is the main consequence of lung injury caused by acute respiratory distress syndrome. Unfortunately, effective treatment for pulmonary fibrosis has not yet been found; that’s why we found an essential anti-fibrotic agent in the early acute phase of severe COVID-19 to fight the infection outcomes. This narrative review presents the therapeutic strategy and the importance of fighting pulmonary fibrosis to help patients worldwide protect themselves against severe and fatal viral infections. To prevent long-term sequelae and early mortality, it’s necessary to test the efficacy of anti-inflammatory drugs.
IN SILICO STUDY OF ANTIDIABETIC ACTIVITY AND TOXICITY OF TRANS-ANETHOLE, FENCHONE, AND ESTRAGOLE
Authors: Susanti Ni Made Pitri , Dewi Luh Putu Mirah Kusuma , Bhadreswara I Gede Rheza Wisnu 
Published: June 2024

Background: An unhealthy lifestyle characterized by consuming foods with a high glycemic index can increase blood sugar levels significantly. Diabetes mellitus therapy using antidiabetic drugs in patients aims to help control blood sugar levels. Objective: This study aims to determine the affinity and interaction models of trans-anethole, fenchone, and estragole as test compounds against the target proteins pancreatic ?-amylase and dipeptidyl peptidase-4 (DPP-4) enzyme, as well as in silico toxicity prediction of the test compounds. Methods: This study used AutoDock 4.2 as a molecular docking method to evaluate the affinity and interaction models of the test compounds against the target proteins pancreatic ?-amylase (PDB ID: 2QV4) and DPP-4 (PDB ID: 3W2T) as a potential antidiabetic agent. In addition, the toxicity of these compounds was predicted using the Toxtree program with Cramer Rules, Benigni/Bossa, Verhaar Sceme, and Kroes TTC parameters. Results: The results showed that the test compounds had binding energies that showed their affinity to the target protein. The trans-anethole did not show any structural features indicating potential toxicity. Fenchone has the class III category for the Cramer Rules parameters, and estragole has a structural alert for genotoxic carcinogenicity based on the Benigni/Bossa Rulebase parameter. Conclusion: Trans-anethole, fenchone, and estragole have been observed to exhibit antidiabetic potential through their interactions with the pancreatic proteins ?-amylase and dipeptidyl peptidase-4 (DPP-4) enzyme, although their effectiveness is not as high as that of the native ligands. Additionally, further toxicity testing is required for the three compounds.
Keywords: Trans-anethole, Fenchone, Estragole, Molecular Docking, Antidiabetic
Adiksi Smartphone dan Risiko Kejadian De Quervain Syndrome pada Mahasiswa
Authors: Lestari Indah Puji , Kinandana Gede Parta , Utama Anak Agung Gede Eka Septian , Wiryanthini Ida Ayu Dewi 
Published: June 2024

Pendahuluan: Adiksi smartphone adalah sebuah perilaku ketergantungan terhadap penggunaan smartphone. Penggunaan smartphone yang berlebihan yang melibatkan gerakan ibu jari akan menimbulkan gesekan berulang dan penebalan selaput tendon extensor pollicis brevis dan abductor pollicis longus, yang menjadi manifestasi sebagai de quervain syndrome yaitu suatu bentuk nyeri pada pergelangan tangan dan tenderness pada styloid radial. Penelitian ini bertujuan mengetahui hubungan adiksi smartphone dengan kejadian de quervain syndrome pada mahasiswa Fisioterapi Fakultas Kedokteran Universitas Udayana.
Metode: Penelitian observasional analitik melalui pendekatan cross-sectional dengan teknik purposive sampling. Subjek penelitian berjumlah 67 orang. Variabel independen yaitu adiksi smartphone dan variabel dependen yaitu de quervain syndrome.
Hasil: Data dikumpulkan dengan mengisi kuesioner smartphone addiction scale short version untuk menilai adiksi smartphone dan pemeriksaan tes Finklestein untuk menilai de quervain syndrome. Hasil uji analisis spearman rho, menunjukkan nilai p<0,01 (p=0,000) dan nilai koefisien korelasi 0,419.
Simpulan: Terdapat hubungan signifikan searah dengan kekuatan korelasi sedang antara adiksi smartphone dan kejadian de quervain syndrome pada mahasiswa Fisioterapi Fakultas Kedokteran Universitas Udayana yaitu semakin tinggi adiksi smartphone seseorang maka semakin tinggi pula kejadian de quervain syndrome.

Kata Kunci: adiksi smartphone, de quervain syndrome, mahasiswa.
Sedentary Lifestyle Berhubungan dengan Massa Lemak Tubuh pada Mahasiswa Universitas Udayana
Authors: Iswari Ni Wayan Anggita Diana Krisna , Thanaya Sayu Aryantari Putri , Putra I Putu Yudi Pramana , Wibawa Ari 
Published: June 2024

Pendahuluan: Kemajuan teknologi sangat mempengaruhi kehidupan manusia. Adanya kemajuan teknologi, dapat memberikan kemudahan dalam melakukan berbagai aktivitas. Salah satu contohnya yaitu pada bidang pendidikan yang digunakan sebagai media pembelajaran dan sebagai media informasi. Saat ini, terjadi peningkatan aktivitas menatap layar pada mahasiswa yang menyebabkan aktivitas fisik menjadi berkurang, sehingga dapat mengubah gaya hidup menjadi sedentary lifestyle. Sedentary lifestyle adalah suatu kebiasaan seseorang sedikit melakukan aktivitas fisik dalam kehidupannya. Kurangnya melakukan aktivitas fisik dapat meningkatkan massa lemak tubuh seseorang.
Metode: Jenis penelitian ini adalah observasional analitik yang menggunakan desain cross sectional dengan teknik pengambilan data menggunakan teknik non probability sampling dengan metode purposive sampling. Total sampel yang diperoleh adalah 72 sampel sesuai dengan kriteria inklusi dan eksklusi yang telah ditentukan. Pengumpulan data dilakukan dengan menghitung tingkat sedentary lifestyle dengan The Adolescent Sedentary Activity Questionnaire (ASAQ) serta mengukur massa lemak tubuh dengan menggunakan Bioelectrical Impedance Analysis (BIA).
Hasil: Hasil analisis Chi Square didapatkan p=0,000 (p<0,05) yang menunjukkan bahwa terdapat hubungan signifikan antara sedentary lifestyle dengan massa lemak tubuh. Hasil analisis Spearmen rho didapatkan nilai r=0,710 dan p=0,000 yang menunjukkan terdapat hubungan yang kuat dan searah yang bermakna antara sedentary lifestyle dengan massa lemak tubuh.
Simpulan: Berdasarkan hasil penelitian dapat disimpulkan bahwa terdapat hubungan sedentary lifestyle dengan massa lemak tubuh mahasiswa Universitas Udayana.

Kata Kunci: gaya hidup sedentari, massa lemak tubuh, mahasiswa, teknologi
Design and Implementation Accurate Three Distance Sensors Device Using Neural Network
Authors: Zuhair Khaleel Hind , Raheem Firas Abdulrazzaq 
Published: June 2024

This paper suggested and created a proposed device for sensing an accurate distance from 5 to 400 cm with three sensors using the proposed on-line Feedforward Backpropagation Neural Network (FFBPN). Firstly, preparing a dataset (distances) with two distances utilizing Arduino and measured distance calculated from three sensors (2 ultrasonic and 1 IR). Secondly, target distances are calculated from the ground manually using a distance tape tool. Thirdly, interfacing Arduino and MATLAB using USB easily saved datasets from Arduino directly to MATLAB, then training, and testing data. The proposed device divides reading distances into three distances, getting from three sensors to get accurate distances. The first reading was 5-10 cm from down ultrasonic sensor 3. The second reading was 10-80 cm from middle IR sensor 2. The third reading was 80-400 cm from up ultrasonic sensor 1. The dataset was created and improved using the suggested FFBPN to create a very accurate distance gadget with three sensors. A suggested FFBPN consisted of 3 layers: The first input measured distance layer (from 3 sensors), the second hidden layer with ten neurons, and the third output layer distance. The numerical results showed that the proposed distance device was significantly accurate due to regression result R=1 using the proposed Neural Network (NN), which meanings that the device had 100% fitting. It had the best validation performance in 464 epochs, i.e., is 0.0036122. Furthermore, the proposed on-line FFBPN was fast because the training time equals three seconds. This distance device was implemented for use in robotic and radar applications to detect objects accurately because this device successfully detects near and far objects.
Disinformation and "hate speech" in the online media of Kazakhstan (results of monitoring 2022)
Authors: Passichnik Sergey , Melnik Galina Sergeevna , Blochin Igor Nikolaevich , Baichik Anna Vitalievna 
Published: June 2024

The article examines the problem of using the "language of hostility" and disinformation in the media texts of the Kazakh media, as well as the problem of stuffing fake news during the political events of January 2022 in Kazakhstan. The goals of disinformation are determined and the effects on the mass audience are evaluated. During the tragic events at the beginning of the year, the Internet was turned off in the country, which led to an information vacuum. After the restoration of communication, a stream of fake materials of various formats (audio, video, images and messages on social networks) began, the purpose of which was to incite fears among the population. The platforms WhatsApp, YouTube, Telegram and VKontakte were investigated. Case analysis of texts was also used as part of the analysis. The materials were selected by random sampling. Various criteria were taken into account for the selection of publications, including attendance, the toxicity of comments, the number of articles and posts in online publications and social networks, as well as genres of materials and the presence of elements of hate speech. The purpose of this study is to comprehensively analyze the destructive consequences of disinformation recorded in the Kazakh and Russian media during the attempt to forcibly seize power in the Republic of Kazakhstan. The following methods were used: critical analysis of scientific literature, media monitoring, discourse analysis, and the method of comparative analysis. Case analysis of texts was also used. In 2022, Kazakhstan faced new geopolitical and information challenges: armed border conflicts, disinformation and "hate speech". All these risks have led to an even greater polarization of Kazakh society, socio-political tension and a decrease in the level of trust in the official media. The key factor in changing the situation may be increasing the information literacy of the population and its promotion through cooperation with civil society institutions, the implementation of universal media education programs. Given the volume of data and the amount of information processed, it is difficult to fit the whole situation and analyze how the discourse of "hate speech" and disinformation was built. The repeatedly disseminated unreliable and contradictory information significantly increased the tension of the network media field, contributing to a greater polarization of opinions about the extraordinary event and the aggression of participants in the information exchange.