bluuebunny/crossref_metadata_2025_split huggingface dataset:
ADHD Symptoms Among Adolescents: Factor Structure Based
on Mother and Adolescent Self-Ratings
Authors: Gomez Rapson , Watson Shaun , Brown Taylor 
Published: November 2023

Background::
At present, there is little data on the factor structure of
ADHD symptoms in adolescents, especially as they are organized in the International
Classification of Diseases-10 (ICD-10) or the recently proposed ADHD S-1 bifactor
model. This study aimed to analyze how mother and adolescent self-ratings of ADHD
symptoms align with these models.

Methods::
This study utilized confirmatory factor analysis (CFA) on a group of 300
adolescents (ages ranging from 11 to 17 years) to examine the factor structure in
terms of mother ratings and adolescent self-ratings of ADHD symptoms (inattention
[IA], hyperactivity [HY], and impulsivity [IM]) presented in the Disruptive Behavior
Rating Scale (DBRS). Based on existing theory, the study examined five structural
ADHD models: (1) DSM-5/ICD-10 one-factor model (with all symptoms loading on
a single factor); (2) DSM-5 two-factor model (with IA and HY/IM factors); (3) ICD-
10 three-factor model (with IA, HY, and IM factors); (4) DSM-5 bifactor S – 1 model
(with HY/IM as the reference indicators for the general factor); and (5) ICD-10
bifactor S – 1 model (with IM as the reference indicators for the general factor).
Additionally, mothers and adolescents completed the five-item hyperactivity scale in
the Strengths and Difficulties Questionnaire (SDQ).

Results::
The results showed the most support for the ICD-10 three-factor model, with
all three factors in this model showing adequate discriminant validity, good omega
coefficient reliability values, and significant and positive association with SDQ
hyperactivity. Furthermore, it is speculated that the ADHD structure in adolescents
might involve a general ADHD factor alongside an IA-specific factor, omitting an
HY component. Since the general factor was marked by the IM symptoms, this
suggests that ADHD at a latent level could be typified by IA and IM symptoms,
excluding HY symptoms.

Conclusion::
The theoretical implications of the findings are discussed.
Fabrication and Physiochemical Characterization of Zinc Oxide Nanoparticles via Citric Assisted Auto Combustion Synthesis
Authors: Gond Anuj Kumar , Kumar Atendra , Shekher Himanshu , Ansari Anees A. , Mandal K.D. , Lee Youngil , Singh Laxman 
Published: November 2023

Background:
There are various synthetic routes to synthesize the ZnO particle. However,
none of the routes is best suited for the synthesis of ZnO nanoparticles. Moreover, ZnO nanoparticles
have potential industrial applications.

Aims:
In this research article, ZnO nanoparticles were synthesized by auto combustion route using
the low-cost reagents zinc nitrate hexahydrate and citric acid as a precursor at 90-120°C.

Objective:
Herein, we have synthesized ZnO nanoparticles via auto combustion route using the
low-cost reagents zinc nitrate hexahydrate and citric acid. The current route is very simple as well
as energy-saving with the requirement of using low-cost precursor as compared to the traditional
solid-state method and multi-step sol-gel route.

Method:
Citric-assisted auto-combustion synthesis was employed to fabricate the ZnO nanoparticles.

Result:
The formed precursor powder was calcinated at 500°C for 5 hours in an electrical furnace.
It was found that these particles were in a single phase, and the crystallite size of the nanoparticles
was found to be in the range of 10 to 15 nm.

Conclusion:
We synthesized ZnO nanoparticles at a lower temperature via the citric acid-assisted
combustion method. The thermal properties of ZnO nanoparticles were studied by TGA spectra,
representing the total weight loss of around 47.71% and their thermal stability after 900°C.
Exploring the Incorporation of a Novel Cardiotoxicity Mobile Health App Into Care of Patients With Cancer: Qualitative Study of Patient and Provider Perspectives
Authors: Gregory Megan E , Cao Weidan , Rahurkar Saurabh , Jonnalagadda Pallavi , Stock James C , Ghazi Sanam M , Reid Endia , Berk Abigail L , Hebert Courtney , Li Lang , Addison Daniel 
Published: November 2023

Background
Cardiotoxicity is a limitation of several cancer therapies and early recognition improves outcomes. Symptom-tracking mobile health (mHealth) apps are feasible and beneficial, but key elements for mHealth symptom-tracking to indicate early signs of cardiotoxicity are unknown.

Objective
We explored considerations for the design of, and implementation into a large academic medical center, an mHealth symptom-tracking tool for early recognition of cardiotoxicity in patients with cancer after cancer therapy initiation.

Methods
We conducted semistructured interviews of >50% of the providers (oncologists, cardio-oncologists, and radiation oncologists) who manage cancer treatment-related cardiotoxicity in the participating institution (n=11), and either interviews or co-design or both with 6 patients. Data were coded and analyzed using thematic analysis.

Results
Providers indicated that there was no existing process to enable early recognition of cardiotoxicity and felt the app could reduce delays in diagnosis and lead to better patient outcomes. Signs and symptoms providers recommended for tracking included chest pain or tightness, shortness of breath, heart racing or palpitations, syncope, lightheadedness, edema, and excessive fatigue. Implementation barriers included determining who would receive symptom reports, ensuring all members of the patient’s care team (eg, oncologist, cardiologist, and primary care) were informed of the symptom reports and could collaborate on care plans, and how to best integrate the app data into the electronic health record. Patients (n=6, 100%) agreed that the app would be useful for enhanced symptom capture and education and indicated willingness to use it.

Conclusions
Providers and patients agree that a patient-facing, cancer treatment-related cardiotoxicity symptom-tracking mHealth app would be beneficial. Additional studies evaluating the role of mHealth as a potential strategy for targeted early cardioprotective therapy initiation are needed.
A Novel Evaluation Model for Assessing ChatGPT on Otolaryngology–Head and Neck Surgery Certification Examinations: Performance Study
Authors: Long Cai , Lowe Kayle , Zhang Jessica , Santos André dos , Alanazi Alaa , O'Brien Daniel , Wright Erin D , Cote David 
Published: November 2023

Background
ChatGPT is among the most popular large language models (LLMs), exhibiting proficiency in various standardized tests, including multiple-choice medical board examinations. However, its performance on otolaryngology–head and neck surgery (OHNS) certification examinations and open-ended medical board certification examinations has not been reported.

Objective
We aimed to evaluate the performance of ChatGPT on OHNS board examinations and propose a novel method to assess an AI model’s performance on open-ended medical board examination questions.

Methods
Twenty-one open-ended questions were adopted from the Royal College of Physicians and Surgeons of Canada’s sample examination to query ChatGPT on April 11, 2023, with and without prompts. A new model, named Concordance, Validity, Safety, Competency (CVSC), was developed to evaluate its performance.

Results
In an open-ended question assessment, ChatGPT achieved a passing mark (an average of 75% across 3 trials) in the attempts and demonstrated higher accuracy with prompts. The model demonstrated high concordance (92.06%) and satisfactory validity. While demonstrating considerable consistency in regenerating answers, it often provided only partially correct responses. Notably, concerning features such as hallucinations and self-conflicting answers were observed.

Conclusions
ChatGPT achieved a passing score in the sample examination and demonstrated the potential to pass the OHNS certification examination of the Royal College of Physicians and Surgeons of Canada. Some concerns remain due to its hallucinations, which could pose risks to patient safety. Further adjustments are necessary to yield safer and more accurate answers for clinical implementation.
Extraction and modification of cellulose from Artocarpus heterophyllus for biosorption of lead ion from aqueous solution as cost effective biosorbent
Authors: Turunesh Debela Jufar , Zewudie Gashaw Tadele , Dereba Workineh Seboka Dereba Workineh 
Published: November 2023

The heavy metals found in contaminated waters are dangerous for the environment and human health, so it is necessary to seek and apply techniques to remove these pollutants, using adsorption techniques with natural biopolymers as cost effective biosorbent. Since large amounts of Jackfruit (Artocarpus heterophyllus fruit) waste part are abandoned after the pulp used around Tepi areas, the possibility of developing value-added products from them is interesting innovation. In this work, cellulose fiber was extracted from Artocarpus heterophyllus fruit waste part and modified with Isopropyl alcohol groups to produce which were then used as Lead metal ion adsorbents. The modified cellulose was characterized by several techniques including Fourier transform infrared spectra (FTIR), scanning electron microscope (SEM), and thermogravimetric analysis (TGA). This modified cellulose was used as adsorbents for adsorption studies of heavy metal ions (Pb2+) within batch adsorption systems. A solution of lead ion (Pb2+) was used as artificial wastewater for the purpose of studying biosorption efficiencies. The biosorption efficiencies of modified cellulose were studied by using four adsorption parameters. The optimum biosorption of modified cellulose at 25 °C, were found to be 94.2%, 76.12%, 82.54%, and 90.13%, of Pb2+ for the adsorption parameter; biosorbent dosage, contact time, Pb (II) concentration, and pH respectively. The biosorption kinetics behaviour of modified cellulose for Pb2+ fitted well with a pseudo-second-order model with correlation coefficient of 0.9975. The biosorption isotherm behaviour was well described using the Langmuir biosorption isotherm model with higher correlation coefficient of 0.9935. The reusability and desorption study of modified cellulose shows that it can be reused 2 to 4 times and after 5th cycles the desorption was significantly decreased. This study showed that the modified cellulosic adsorbents made from (Artocarpus heterophyllus fruit) were able to efficiently adsorb metal ions from aqueous solution.
Explaining the Evolution of Job Tenure in Europe, 1995–2020
Authors: Bussolo Maurizio , Capelle Damien , Lokshin Michael M. , Torre Iván , Winkler Hernan 
Published: November 2023

Abstract
During the last quarter century, job tenure in Europe has shortened. Using data from Eurostat Labor Force Surveys of 29 countries from 1995 to 2020 and applying an age-period-cohort decomposition to analyze changes in tenure for specific birth cohorts, we show that tenure has shrunk for cohorts born in more recent years. To account for compositional changes within cohorts, we estimate the probability of holding jobs of different durations, conditional on individual and employment-related characteristics. The estimations demonstrate that, over time, the likelihood of having a medium- or long-term job decreased and holding a short-term job increased. We also find that stricter job protection legislation appears to decrease the probability of holding a short-term job, and higher trade openness and ICT-related technological change are correlated with an increase of that probability.
Droplet digital PCR quantification of selected microRNAs in raw mastitic cow’s milk from the west of Poland
Authors: Smulski Sebastian , Pszczoła Marcin , Stachowiak Monika , Bilińska Adrianna , Szczerbal Izabela 
Published: November 2023

Abstract

Introduction
MicroRNAs (miRNAs), a class of noncoding small RNAs, have been recognised as potential biomarkers of mammary gland conditions, including bovine mastitis diagnosis. The aim of this study was to quantify selected miRNAs in the milk of mastitic cows.

Material and Methods
Milk samples (n = 90) were collected from healthy and mastitic dairy cows originating from local dairy cattle farms located in the west of Poland. MicroRNAs of the miR-21a, miR-92a, miR-146a and miR-383 species were quantified using the highly sensitive droplet digital PCR method. Direct measurement of somatic cell count (SCC) was performed using a cell counter. Cows were divided into three groups: those with an SCC below 200,000/mL were designated Low (n = 25), those with an SCC between 200,000 and 999,999 were Medium (n = 34), and those with an SCC of 1,000,000 or higher were High (n = 31). Microbiological analyses were performed using standard culture testing.

Results
The level of miR-383 was very low and this miRNA was excluded from analysis. The miR-92a was used to normalise miR-21a and miR-146a expression levels. The obtained results of expression of miR-21a and miR-146a correlated with somatic cell number (R = 0.53 and 0.79, respectively).

Conclusion
These results show that ddPCR is a useful method for quantifying miRNAs in raw cow milk. It seems that miR-146a is a promising marker for bovine mastitis, although further studies are needed to select a panel of miRNAs that can be used in mastitis monitoring in Poland.
Centesimal, Physico-Chemical, Bioactive and Microbiological Characterization of Pilsen-Type Malt Bagasse
Authors: Tombini Caroline , De Vargas Paola Fontana , Feltes Maria Manuela Camino , Lajús Cristiano Reschke , De Mello Josiane Maria Muneron , Dalcanton Francieli 
Published: November 2023

Objective: This study aimed to characterize malt bagasse obtained as the main residue from beer processing.

Theoretical benchmark: Malt bagasse is an agro-industrial waste with attractive nutritional characteristics, such as dietary fibers and proteins, intended for low or no added value purposes. In this sense, malt bagasse can nutritionally enrich various food products.

Method: The malt bagasse was dehydrated and then analyzed for its central characteristics (moisture, ash, proteins, dietary fiber, lipids, carbohydrates, energy value and mineral composition), physicochemical (pH, acidity and aw), bioactive (phenolic and antioxidant content) and microbiological.

Results and conclusion: As main results, malt bagasse showed high dietary fiber content (37,70 g/100 g) and high protein content (18,24 g/100 g), antioxidant capacity by the DPPH method with results expressed in EC50 as being 4,68 mg/mL and total phenolic content 360,99 mg EAG/100 g dry sample.

Implications of the research: The results of this study show a promising potential in the reuse of malt bagasse, to quote, in the incorporation into food for human consumption.
Assessment of an Open-Source Aircraft Noise Prediction Model Using Approach Phase Measurements
Authors: Maria Thoma Evangelia , Grönstedt Tomas , Otero Sola Evelyn , Zhao Xin 
Published: November 2023

An open-source simulation model for aircraft noise prediction is presented and validated using backpropagated noise measurements for a state-of-the-art engine and aircraft. The validation is focused on approach procedures and was performed using ground-based noise measurements that were taken at 17 recording stations for a total of 18 consecutive flights carried out during the morning of 8 April 2021. The flights were performed using two A321neo aircraft with LEAP-1A engines. It is demonstrated that the presented noise model provides a satisfactory estimation of the source noise for varying approach configurations and flight conditions. Configurations using a greater number of high-lift devices are particularly well predicted in the mid- and high-frequency regions, whereas the lower configuration settings show greater spectral deviations, which are partly attributed to measurement uncertainties caused by the increased aircraft–microphone distance. The model can predict the overall mean total sound intensity level within a 2 dB accuracy for all configurations, while the average predicted level at each microphone differs by less than 3 dB from the measurement average, for all cases except one. Variation in aircraft speed showed to have a strong impact on the predicted total noise, which matches the well-recognized sixth-power Mach number far-field sound intensity scaling law for airframe noise models, while the measurements indicated a less significant dependency. This is mainly due to installation effects and noise reduction measures that are not included in the models. Nevertheless, the variations in the spectra of the predicted and measured noise showed similar patterns.
Space Extended Target Tracking Using Poisson Multi-Bernoulli Mixture Filtering with Nonlinear Measurements
Authors: Hua Bing , Yang Guang , Wu Yunhua , Chen Zhiming 
Published: November 2023

The number of space targets in the near-Earth orbit has greatly increased, and space-based radar has the advantage of high resolution and high accuracy tracking to enhance the tracking efficiency of space extended targets (SET). We propose a gamma Gaussian inverse Wishart based on a matched linearization-Poisson multi-Bernoulli mixture (GGIWML-PMBM) filter to estimate the motion state and shape size of the SET. For the random matrix that can only describe the distribution under which the measurements are linear, the measurements of the spatial target are linearized using matched linearization, and the extended information is preserved in the second-order central moments. The transfer density and likelihood function of GGIW are nonlinear for Poisson measurements with nonlinear Gaussian spatial distributions, and the single-target densities and normalizing constants of the PMBM filter are not closed form. The prediction and update of PMBM include Gaussian-weighted integral calculation, for which different nonlinear approximation methods are used to calculate the weighted integral and derive the closed form of GGIWML-PMBM. Finally, the simulation scenarios of low-orbit single-radar sensor tracking near SET and group SET are established, and the results show that the tracking accuracy can reach 2.6 m for near SET and 6.6 m in group SET.
Impact of Aerodynamic Modeling Assumptions on Flutter Speeds of Vertical-Axis Wind Turbines
Authors: Ahsan Faraz , Todd Griffith D. 
Published: November 2023

Theodorsen’s unsteady aerodynamic theory has been used extensively in flutter speed prediction of wind turbine blades. In this study, three key assumptions of Theodorsen theory (thin airfoil, flat wake, and small angle of attack) have been revisited, and all three assumptions have been addressed in combination to obtain new lift and moment equations that are subsequently applied in flutter calculations for full-scale vertical-axis wind turbine (VAWT) rotors, not just of an individual airfoil or blade. Furthermore, edgewise aerodynamics terms are added to the lift and moment equations to include their effects on flutter speeds. The newly obtained equations were implemented in the OWENS (Offshore Wind ENergy Simulation) toolkit, which is an FEM (Finite Element Method)-based toolkit for aeroelastic analysis of VAWTs. The effect of modifying each of these assumptions has been studied for the flutter RPM prediction of three primary modes of flutter of VAWTs: propeller, butterfly, and tower modes. For the land-based case, the most change was observed for the flutter RPM of the propeller mode, with a maximum increase of 2.62% for the two-bladed UTD 5 MW VAWT case. For the floating offshore case, the primary flutter modes (tower and platform pitch) were not significantly affected.
An Analysis of Financial Distress Determinants in Indonesia's Micro and Small Enterprises
Authors: Marsenne Maureen , Ismail Tubagus , Taqi Muhamad , Hanifah Imam Abu 
Published: November 2023

Purpose: This study looks at the role of liquidity, leverage, and profitability in predicting the occurrence of financial distress at Micro and Small Enterprises (MSEs) sector companies registered at the Department of Cooperatives for Small and Medium Enterprises in Palangka Raya, Central Kalimantan, between 2019 and 2021.

Theoretical framework: Financial distress is defined as a situation in which a company's net profit (net income) for a given fiscal year is negative.

Design/Methodology/Approach: The sample determination technique employs purposeful sampling (purposive sampling method). A sample size of 31 Micro and Small Enterprises (MSEs) produced 29 companies between 2019 and 2021. In this study, the data is analyzed with Microsoft Excel 2019, and the hypothesis is tested with Logistic Regression Analysis with the program E-Views 10, at a level of significance of 5%.

Findings: The test results show that (1) liquidity expressed as CR has a significant influence on financial distress, (2) leverage expressed as DAR has no significant influence on financial distress, and (3) profitability expressed as ROA has a significant influence on financial distress.

Research, Practical & Social implications: The Return On Assets (ROA) test results show that profitability (ROA) has a significant negative effect on the financial distress of MSEs from 2019 to 2021. As a result, the study's hypothesis has been proven.

Originality/Value: The authors declare no potential conflicts of interest with respect to the research, authorship, and publication of this article.
KRITERIA BUKU AJAR BAHASA ARAB DALAM KITAB IDHA`AT
Authors: Abdilah Aris Junaedi , Abdurrahman Maman 
Published: November 2023

Penelitian ini bertujuan untuk megetahui keriteria buku ajar bahasa Arab yang baik menurut Syekh Fauzan dalam kitab Idha`at. Penelitian ini mengunakan metode studi pustaka. Hasil penelitian meunjukan bahwa buku ajar bahasa Arab yang baik dalam kitab Idha`at harus memenuhi 23 kriteria. Buku ajar sebagai jantungnya pembelajaran perlu mendapat perhatian serius agar tercipta pembelajaran bahasa Arab yang berkualitas. Selain itu, kriteria buku ajar yang baik penting diterapkan dalam rangka mencapai tujuan pembelajaran yang diharapkan. Kriteria buku ajar dalam kitab idha`at dapat menjadi rujuan terciptanya buku ajar bahasa Arab yang berkualitas.
Kata kunci: buku ajar, bahasa Arab, kitab idha`at
ANALISIS HALAL SUPPLY CHAIN MANAGEMENT DENGAN MENGGUNAKAN MODEL SUPPLY CHAIN OPERATION REFERENCE (SCOR) PADA RUMAH MAKAN D'KREEZPEE PURWOSARI, PASURUAN
Authors: Nur Maisaroh  , Alimatul Farida  , Abdillah Mundir  , Ifdlolul Maghfur  
Published: November 2023

Halal menjadi aspek penting penduduk muslim dalam menjalankan kehidupanya. Mengkonsumsi produk halal tentu menjadi kewajiban bagi semua umat muslim di dunia. Salah satu bentuk produk halal ialah adanya sertifikat dan logo halal pada suatu produk, yang mana produk halal tidak hanya sebatas tampak bersih namun juga perlu mengetahui proses penerapan halal supply chain management sepanjang proses produksi, mulai dari proses penyediaan bahan baku, pemrosesan, pengemasan, dan pendistribusian yang dilakukan selama proses rantai pasok untuk menciptakan ukuran halal suatu produk. Tujuan dari penelitian ini adalah untuk mengetahui bagaimana proses manajemen rantai pasok halal yang dilakukan di rumah makan D'kreezpee. Pelaksanaan halal supply chain management pada rumah makan D'kreezpee terdiri dari empat kegiatan: pertama, proses persiapan produksi, kedua, proses produksi, ketiga, proses distribusi, dan terahir, kegiatan konsumsi.