bluuebunny/crossref_metadata_2025_split huggingface dataset:
Psychosocial burden and healthcare disillusionment in recurrent UTI: a large-scale international survey of patient perspectives
Authors: Maxwell Kayleigh , Roberts Lindsey , Kramer Melissa , Price Jessica , Newlands Abigail , Finlay Katherine A. 
Published: September 2023

ObjectivesRecurrent UTI (rUTI) is a debilitating health condition that is associated with persistent mental, physical, and social burdens. People living with rUTI face inconsistencies in diagnostic testing and fragmented treatment pathways alongside their symptoms, which are likely to add considerably to their illness-related burdens. This study aimed to characterize the factors negatively impacting this population using the qualitative perspectives of people living with the condition.MethodsQualitative data were collected via free-text responses using an online survey hosted by an rUTI patient advocacy website. Female participants with self-reported rUTI (n = 1,983) described the factors that were most salient to their experience of living with the condition. Data were analyzed using a coding reliability approach to thematic analysis.ResultsTwo overarching themes were identified: (1) the patient burden of rUTI, which describes the multifaceted biopsychosocial impact of the illness, and (2) healthcare disillusionment, which describes patient dissatisfaction with healthcare received, both in terms of the treatments offered and communication with healthcare professionals. The patient burden of rUTI encompassed four subordinate themes: facing ongoing uncertainty; symptom salience; sex is not simple anymore; and perceived UTI stigma. Healthcare disillusionment included three subordinate themes: discomfort with frequent antibiotic use; fragmented treatment pathways; and devalued patient perspectives.ConclusionsThe findings demonstrated that ambiguity in the diagnosis of rUTI and inconsistencies in the subsequent treatment pathway are exacerbated by poor patient–clinician communication. The extent of the female-specific burden of rUTI symptoms confirmed the harmful effects of illness-related stigma. This novel qualitative reporting of rUTI symptom burden and life impact highlights the urgent need for increased patient-centered care for those living with rUTI. More effective rUTI management could have a major impact on treatment outcomes and patient-reported psychosocial wellbeing.
How intrinsically motivating are swimming instructors/lessons in the Netherlands? An observational study through the lens of self-determination theory
Authors: Minkels Carola , van der Kamp John , Beek Peter J. 
Published: September 2023

BackgroundIt is desirable that (more) children continue swimming after having completed their swimming lessons to preserve their swimming skills and water safety, and as part of an active, healthy lifestyle. This may be encouraged by stirring children's intrinsic motivation for swimming during swimming lessons. However, it is currently unknown how intrinsically motivating swimming lessons are in Western countries.PurposeThis study examined to what extent swimming instructors in the Netherlands cater to the basic needs of autonomy, competence, and relatedness, which, according to Self-Determination Theory (SDT), promote intrinsic motivation. Additionally, it examined whether an SDT-based teaching program prompts instructors to better meet these needs, and to what extent the teaching program, the education and experience of the instructor, and the group size predict the employment of SDT in swimming lessons.MethodsA total of 128 swimming lessons given by equally many instructors were observed in the Netherlands and rated on a modified version of the SDT teaching style scale to assess autonomy, competence, and relatedness support. The swimming lessons referred to four teaching programs, one of which was explicitly based on SDT.ResultsInstructors exhibited autonomy-thwarting, weakly competence-supportive, and relatedness-supportive behaviors. The SDT-based teaching program scored higher on the provision of autonomy, competence, and relatedness in lessons. This finding was significant for autonomy. Teaching program was the only significant predictor of SDT employment by instructors.ConclusionFurther improvement is desirable in catering to the basic needs, particularly autonomy, which can be achieved by deliberately implementing the principles of SDT into teaching programs for swimming.
Assessment of the variation in nutritional composition and safety of dried recovered food from United States households and prospects for use in chicken feed
Authors: Hill Geoff , Sayadi Azita , Gendreau Joseph D. , Tobar Zachary , Liu Yanhong , Pitesky Maurice E. , Simmons Christopher W. 
Published: September 2023

IntroductionNew poultry feed valorization pathways for recovered household food could be enabled by commercially available household devices that dry uneaten food material, arrest spoilage, and preserve nutrient content. However, the nutrient composition, safety, and feed incorporation potential of dried recovered household food (DRHF) is presently unknown.MethodsThirty-eight households spanning 31 states participated in a 4-to-6-week survey to generate and collect food residues that were dried using an in-home device. The DRHF samples were evaluated for chemical composition, digestibility of energy and amino acids, and safety to determine their potential for inclusion in chicken feed.Results and discussionThe DRHF had average levels of 15.9% crude protein, 13.3% crude fat, and 22.6% neutral detergent fiber, and 3.18 kcal/g of nitrogen-adjusted true metabolizable energy (by dry weight). The Windows User-Friendly Feed Formulation 2.1 modeler was used to perform linear programming and develop chicken feed rations for broilers and layers that incorporated DRHF alongside conventional feed ingredients, including corn, soybean meal, dicalcium phosphate, limestone, synthetic amino acids, salt, vitamin premix, and mineral premix. The feed formulation results showed that, on average, DRHF incorporation rates of up to 33 and 37% (by weight) are predicted to avoid any nutrient deficiencies or electrolyte imbalances in the broiler and layer rations, respectively. In the broiler ration, DRHF displaced corn, soybean meal, and limestone to varying degrees, while corn, soybean meal, animal fat, dicalcium phosphate, and limestone were substantially displaced in the layer rations. Addition of vitamin premix was predicted as necessary to facilitate DRHF inclusion in the layer rations. Furthermore, foodborne pathogens, mycotoxins, and heavy metals were either absent or below United States regulatory threshold levels. Measured levels of biogenic amines and fat/oil oxidation were consistent with prior research showing compatibility with chickens. These results can inform future in vivo feeding trials to validate the use of DRHF with varying properties in poultry feed.
Emotional Impact of Source Localization in Music Using Machine Learning and EEG: a proof-of-concept study
Authors: Filippi Eleonora De , Schmele Timothy , NANDI ARIJIT , Torres Adan Garriga , Pereda-Banos Alexandre 
Published: September 2023

<p>Little is currently known about how varied source locations affect a listener’s emotional reaction to music. Here, using spectral features extracted from electrophysiology (EEG) data, we tested through machine learning whether four music source positions (front, back, left, and right) could be accurately distinguished according to the type of valence in a subject-wise manner. The findings demonstrate that distinct EEG correlates can reliably classify the four source locations and that the effect is stronger when music with a negative emotional va- lence is played outside of the listener’s visual field. This proof-of-concept study may pave the way for advanced spatial audio analysis approaches in music infor- mation retrieval by considering the listener’s emotional impact depending on the source direction of incidence. </p>
Advancing Equity in Opioid Use Disorder Prediction: A Bias Mitigation Algorithm for Accurate and Fair Outcomes
Authors: Yaseliani Mohammad , Noor-E-Alam Md , Hasan Md Mahmudul 
Published: September 2023

<p>Opioid Use Disorder (OUD) is a major public health crisis in the US affecting over 2.4 million Americans across all age groups and backgrounds. Previous studies have developed machine learning (ML) and deep learning (DL) models with strong predictive performance for OUD; however, bias related to sociodemographic features remains unaddressed. In this study, we propose a bias mitigation algorithm, based on equality of odds (EO), to mitigate ML model bias in OUD prediction. Our algorithm adjusts the classification threshold to minimize the difference between specificity and recall across sociodemographic groups. We develop a neural network (NN) for OUD prediction and analyze bias by comparing the area under the curve (AUC) values. We implement our algorithm to mitigate bias related to gender, marital status, working condition, race, and income. The proposed algorithm achieves significant improvements in bias reduction: 16.96% for gender, 8.87% for marital status, 8.45% for working condition, 41.62% for race, and 0.20% for income. We also propose a fairness-aware weighted majority voting (WMV) classifier, achieving a recall of 92.68% and an accuracy of 90.21%. Furthermore, we evaluate the proposed methods using logistic regression and support vector machine classifiers with linear and radial basis function kernels, confirming the significant bias reduction and high performance of the WMV classifier for OUD prediction </p>
Harmonic Regression Analysis of Time-Series Measurements
Authors: Pizzimbone Luca 
Published: September 2023

<p>The growing influence of digitalization and the widespread availability of data from electrical systems have unlocked significant potential for data-driven analysis. This has led to substantial opportunities for enhancing power system performance, reliability, and overall operational efficiency.</p>
<p>One concrete illustration of these data-driven analyses involves assessing and predicting harmonic distortion using statistical learning models, notably linear regression. </p>
<p>The implementation of linear regression models may present various challenges, especially when dealing with time series data, which is the case of harmonic measurements too. One of the main issues is the presence of autocorrelation within error terms. In this situation, the conventional linear regression approach (ordinary least square) tends to lose its reliability due to the introduction of biased standard errors impacting the accuracy of the analysis.</p>
<p>Experts in statistics have developed various methods to handle such situations, where the error terms show autocorrelation. Interestingly, these methods have been somehow ignored or perhaps sparsely discussed by power system engineers.</p>
<p>The primary objective of this paper is to contribute to narrowing this gap. It does so by presenting the application of the Cochrane-Orcutt method in the harmonic data analysis context. The Cochrane-Orcutt method represents a well-known econometric technique used to consider serial correlations within the error terms of a linear model and can also be applied in the harmonic analysis domain.</p>
<p>This paper is supported at first by an illustrative example based on simulated data, designed to provide a clear insight into the subject matter. Additionally, a case study with real-world measurement data is also presented, to further enhance the understanding.</p>
Designing a Dual-Polarization Electro-optic Modulator using Exceptional Point in a Plasmonic Waveguide with ITO
Authors: DWIVEDI Ranjeet 
Published: September 2023

<p>Incorporating transparent conducting oxides as the active layer in waveguide-based modulators offers a pathway to reducing device footprint. However, the performance of such modulators is significantly influenced by the polarization state of the input light. This stems from the distinct interaction of the modal field with the active layer for transverse electric (TE) and transverse magnetic (TM) polarizations, particularly in the epsilon-near-zero (ENZ) region. We introduce a novel design for a compact electro-optic modulator that functions effectively with both TE and TM polarizations within the optical communication wavelength range. </p>
On the Impact of Re-evaluation in 5G NR V2X Mode 2
Authors: Lusvarghi Luca , Molina-Galan Alejandro , Coll-Perales Baldomero , Gozalvez Javier , Merani Maria Luisa 
Published: September 2023

<p>5G NR V2X has been designed to support advanced connected and automated driving V2X services. These services are characterized by variable traffic patterns that can generate packet collisions in decentralized systems where vehicles autonomously select their radio resources like 5G NR V2X mode 2. 5G NR V2X introduces a re-evaluation mechanism at the MAC layer to detect and avoid possible packet collisions before a vehicle transmits in selected resources. Most of the studies conducted to date on 5G NR V2X do not consider the re-evaluation mechanism despite being a mandatory MAC feature. This paper advances the state of the art with an in-depth analysis and evaluation of the operation and performance of re-evaluation in 5G NR V2X mode 2 under different traffic patterns and mode 2 configurations. The study shows that re-evaluation is effective in avoiding collisions with periodic traffic but its effectiveness decreases with aperiodic traffic and of variable size. The study also shows that re-evaluation is effective in avoiding collisions generated by the retransmission of packets. However, its overall impact on the performance of 5G NR V2X mode 2 is small, while it can have a relevant implementation cost due to the frequent re-evaluation checks and resource reselections. This raises questions on the current design of the re-evaluation mechanism that is a mandatory feature in 5G NR V2X mode 2. </p>
Professors Trost and Sheldon’s Promotion of Catalytic Technologies, Atom Economy, and the E-Factor Metrics in Synthetic Organic Chemistry and the Fine Chemical and Pharmaceutical Industries, to Speed the Early Evolution of “Green Chemistry”
Authors: Murphy Mark A. 
Published: September 2023

The Academic chemical literature (and much current teaching to University Students) still often describes “Green Chemistry,” as having originated in the late 1990s from the United States EPA, the “12 Principles of Green Chemistry”, and/or Academia. But all of the “12 Principles” had already been in “un-enunciated” Industrial practice and had produced many commercialized examples of environmentally favorable chemical products and processes in major segments of Industry, long before the 1990s. This article briefly reviews the early 1990s publications of Professor Barry Trost and Roger Sheldon that spread awareness of the importance of catalysis to the evolving “Green Chemical” concepts of “Atom Economy”, the “E-Factor” metrics, and into Academic “Green Chemistry” research. Trost and Sheldon’s publications admitted that catalysis and “Atom Economy” had been in practice in the commodity chemicals industry for decades, but encouraged more use of those techniques and concepts in the Fine Chemical and Pharmaceutical industry segments, and into Academic research and the teaching of organic chemistry, years before the words “Green Chemistry” or the “12 Principles” came into literature use.

Graphical Abstract:
Roger A. Sheldon, The Royal Society, Creative Commons Attribution-Share Alike 3.0 Unported, Wikimedia Commons
Barry M. Trost, Photographer: Armin Kübelbeck, CC-BY-SA, Wikimedia Commons
Atom Economy, Creative Commons Attribution-Share Alike 4.0 International, Wikimedia Commons
The Effects & Results of Sycophancy and Opulence towards Quran-e-Hakeem and its Panacea
Authors: Zujajah  
Published: September 2023

The pivot role of ultra degeneration is the sycophancy and opulence towards Quranic guidance. The luxurious class can’t gain the confidence of the world establishment despite their sycophancy. This is the universal truth. ‘The have class’ fears to loose its culture and clutch if it gives up the way of fawning and light attitude for the Devine Law.
The sycophancy is hypocracy that is like plague. By kowtow and compromising the opulents control the jury, the iron powers and legislature, the resultant is economy crises leading & default. They are sucking the blood of the people. Hence the structure and built will collapse from the roots of foundation. The word of sycophancy is employed in the sense of showing flexibility and softness on inappropriate occasions. Unless the system of usury is destroyed completely, the knowledge, religion and culture are mere empty names. The mentioned problems can be solved only by giving up the usury the sycophancy and the opulence then the Almighty Allah shall bless us with good pure life.
Genetic diversity for morphophysiological character studies in rainfed sorghum (Sorghum bicolor[L.] Moench) parental lines
Authors: Chavhan Manish , Jawale Laxman , More Ambika 
Published: September 2023

The experimental trial was conducted at Sorghum Research Centre, Marathwada Agricultural University, Parbhani during kharif 2021 in randomized design with 3 replications. Eighteen parental (B & R) lines were evaluated to study genetic diversities and variability for fifteen yield contributing characters. Among all the eighteen genotypes of parental lines significant differences were observed for yield and its yield contributing traits except total chlorophyll content. Coefficient of variance at phenotypic level showed higher values than at genotypic level among all traits. Coefficient of variance for the traits like chlorophyll stability index (G=23.035, P=23.714), leaf area (G=21.064, P=21.673), 1000 grain weight (G=28.845, P=29.929), fodder yield (G=21.858, P=22.458), grain number per panicle (G=29.564, P=30.158), leaf dry weight (G=29.044, P=29.903) was observed high at both level. Traits like plant height (H=90, GAM=21.041), grain yield (H=86, GAM=29.074), leaf dry weight (H=94, GAM=23.664), leaf area (H=94, GAM=42.17), chlorophyll stability index (H=94, GAM=46.093), grain number per panicle (H=96, GAM=59.703), fodder yield (H=94, GAM=43.823),1000 grain weight (H=92, GAM=52.270) and harvest index (H=84, GAM=32.321) were recorded high heritability with high genetic advancement. Genotype AKR 504, NR 39-15, KR 218, KR 219, PMS 100B, AKMS 90 B and INDORE 12 showed the better performance for all characters thus, should be used for development of hybrids and inbreds in breeding programmes by DUS (Distinctness, Uniformity and Stability) testing.
Impact of different quantity and quality of irrigation water on crop yield and biomass of winter maize using FAO-Aqua crop model
Authors: Chandra Ravish , Chandan Vipin , Kumar Manish 
Published: September 2023

Irrigation has a major role to play in the productivity of winter maize. Precise information about the quantity and quality of irrigation water is the key for higher productivity of winter maize. In the present study attempt has been made to asses the impact of different depth of irrigation water on crop yield and biomass of winter maize using FAO-Aquacrop Model. In the first case crop yield and biomass was simulated for irrigation water depth varied from 20 mm to 80 mm, keeping the irrigation water quality constant. Similarly, in another case the optimum irrigation depth was kept constant and irrigation water quality varied from 1 to 10 ds/m. The simulated crop yield and biomass increases up to 40 cm depth of irrigation water application for all three seasons. When a similar comparison was made for 30 cm depth of irrigation water application the simulated yield reduction was only 0.79%, 2.2% and 2.4 % for the year 2016-17, 2017-18 and 2018-19 respectively. The analysis suggested that this yield reduction can easily be compromised for saving 10 cm of irrigation water. This study indicated that 30 cm depth of irrigation water is optimum for Winter maize in BurhiGandak river basin of North Bihar In case of deficit irrigation of 20 cm depth of irrigation water application the simulated yield reduced by 14.4 %, 25.4 % and 11.4 % for the year 2016-17, 2017-18 and 2018-19 respectively. Assessment of response of different quality irrigation water on simulated crop yield and biomass of winter maize using FAO-Aquacrop model suggests that simulated yield was found maximum with 1 ds/m. The reduction in simulated yield with 10 ds/m water quality was observed maximum with a value of 41.3 %, 44.4 % and 38.4 % respectively for the year 2016-17, 2017-18 and 2018-19. FAO-Aquacrop model can be used as an important tool for efficient planning of irrigation water under diminishing water supply and deteriorating water quality.
Proving a Directed Analogue of the Gyárfás-Sumner Conjecture for Orientations of $P_4$
Authors: Cook Linda , Masařík Tomáš , Pilipczuk Marcin , Reinald Amadeus , Souza Uéverton S. 
Published: September 2023

An oriented graph is a digraph that does not contain a directed cycle of length two. An (oriented) graph $D$ is $H$-free if $D$ does not contain $H$ as an induced sub(di)graph. The Gyárfás-Sumner conjecture is a widely-open conjecture on simple graphs, which states that for any forest $F$, there is some function $f$ such that every $F$-free graph $G$ with clique number $\omega(D)$ has chromatic number at most $f(\omega(D))$. Aboulker, Charbit, and Naserasr [Extension of Gyárfás-Sumner Conjecture to Digraphs, Electron. J. Comb., 2021] proposed an analogue of this conjecture to the dichromatic number of oriented graphs. The dichromatic number of a digraph $D$ is the minimum number of colors required to color the vertex set of $D$ so that no directed cycle in $D$ is monochromatic.
Aboulker, Charbit, and Naserasr’s $\overrightarrow{\chi}$ -boundedness conjecture states that for every oriented forest $F$, there is some function f such that every $F$-free oriented graph $D$ has dichromatic number at most $f(\omega(D))$, where $\omega(D)$ is the size of a maximum clique in the graph underlying $D$. In this paper, we perform the first step towards proving Aboulker, Charbit, and Naserasr’s $\overrightarrow{\chi}$-boundedness conjecture by showing that it holds when $F$ is any orientation of a path on four vertices.
Deepening Self-Efficacy and Emotional Expectation in Learning through Interpersonal Interaction: An IEEP Perspective
Authors: Sofeia Noorzareith 
Published: September 2023

This study explores the potential for deep learning among students participating in the Innovation and Entrepreneurship Education Program (IEEP). Drawing on ecosystem theory and expected value theory, this research investigates how teacher-student and peer interactions can influence students' willingness to engage in deep learning, as determined by their self-efficacy and emotional value expectations. The study examines the relationships between perceived teacher-student and peer interactions, self-efficacy, emotional value expectations, and deep learning. A sample of 265 students from a Chinese university participated in the study. Research tools were developed using exploratory factor analysis (EFA) and partial least squares structural equation modelling (PLS-SEM) to test the research hypotheses. The results indicate that perceived teacher-student and peer interactions significantly impact students' self-efficacy and emotional value expectations, which in turn, influence deep learning behaviour. Self-efficacy and emotional value expectations mediate the relationship between perceived teacher-student and peer interactions and deep learning. The findings suggest that micro ecosystems can influence individuals' intrinsic belief values, which can, in turn, affect their behaviour. The study highlights the significant impact activities promoting such interactions can have on enhancing students' deep learning, innovation, and creativity abilities.