bluuebunny/crossref_metadata_2025_split huggingface dataset:
Social work education in Aotearoa New Zealand: A difficult journey for student caregivers
Authors: Hulme-Moir Kirsten , Beddoe Liz , Davys Allyson , Bartley Allen 
Published: July 2023

Introduction: Emerging research suggests that students who care for children, the sick, disabled or the elderly are a marginalised group in social work education. A recent study explored how the wellbeing of 16 female social work student caregivers was impacted by their engagement in tertiary studies and considered the factors that motivated and sustained these students on their educational journey.
Methods: From a mixed method study investigating the social and financial impacts of study on the wellbeing of social work students in Aotearoa New Zealand, data were extracted relating to the needs and experiences of social work students and recent graduates who are also caregivers. Data from semi structured interviews were thematically analysed to produce an overarching theme and three key themes.
Findings: Findings reveal that for some caregivers, studying social work was a journey that exacted considerable sacrifice to their personal wellbeing. Findings also point to the remarkable capacity student caregivers had to overcome adversity, and even thrive through their experiences by drawing on their collective strengths and sense of purpose.
Conclusion: This research highlights the responsibility that social work education providers and governing bodies have to understand and respond to the inequities that are faced by students who are caregivers. Students themselves should be prepared for the significant personal and financial costs of their education, particularly with regard to field placement.
Profiling Professional Rugby Union Activity After Peak Match Periods
Authors: Howe Samuel T. , Aughey Robert J. , Hopkins William G. , Stewart Andrew M. 
Published: July 2023

The aim of this investigation was to quantify professional rugby union player activity profiles after the most intense (peak) passages of matches. Movement data were collected from 30 elite and 30 subelite professional rugby union athletes across respective competitive seasons. Accelerometer-derived PlayerLoad and global navigation satellite system–derived measures of mean speed and metabolic power were analyzed using a rolling-average method to identify the most intense 5- to 600-second passages (ie, worst-case scenarios) within matches. Player activity profiles immediately post their peak 5- to 600-second match intensity were identified using 5 epoch duration-matched intervals. Mean speed, metabolic power, and PlayerLoad declined sharply (∼29%–86%) after the most intense 5 to 600 seconds of matches. Following the most intense periods of rugby matches, exercise intensity declined below the average match-half intensity 81% of the time and seldom returned to or exceeded it, likely due to a host of individual physical and physiological characteristics, transient and/or accumulative fatigue, contextual factors, and pacing strategies. Typically, player exercise intensities after the most intense passages of matches were similar between match halves, positional groups, and levels of rugby competition. Accurate identification of the peak exercise intensities of matches and movement thereafter using novel methodologies has improved the limited understanding of professional rugby union player activity profiles following the worst-case scenarios of matches. Findings of the present study may inform match-representative training prescription, monitoring, and tactical match decisions (eg, substitutions and positional changes).
Symmetries in Cartan’s formalism: A review with examples
Authors: Bonder Yuri , Corral Cristóbal , Ramírez Oscar 
Published: July 2023

We review an algorithm, in the context of gauge and gravity theories described by differential forms, to read off the symmetries of a physical system out of its action, which was originally proposed in [C. Corral and Y. Bonder, Symmetry algebra in gauge theories of gravity, Class. Quantum Grav. 36 (2019) 045002]. In particular, we study the interplay between gauge symmetries and a gauge-covariant version of diffeomorphisms dubbed local translations. We focus on the role of boundary terms and conserved charges that were not discussed in the original proposal. We provide a review of the formalism and analyze several examples of classical theories, including gauge theories coupled to matter fields in flat space and gravitational theories in different dimensions.
A lipase gene of Thermomyces lanuginosus: sequence analysis and high-efficiency expression in Pichia pastoris
Authors: Li Qi , Song Juan , Yi Le , Feng Xiangyuan , Yang Qi , Xi Guoguo , Zheng Ke , Duan Shengwen , Cheng Lifeng 
Published: July 2023

Abstract
Lipase is a type of enzyme that decomposes and synthesizes triglyceride on hydrophilic and lipophilic interface, which plays an important role in lipid processing. A novel heat-resisting lipase gene (lip4) in Thermomyces lanuginosus was cloned to the expression vector pPICZαA and then transported into Pichia pastoris X33 for high-efficiency expression. The structure of this lipase (Lip4) was analyzed by multiple bioinformatics software. Results showed that the recombinant yeast cell concentration reached the peak at 144h and the lipase activity reached the maximum (3900U/mL) at 168h in the induction. S168, D223 and H280 form the triplet structure of the Lip4 and S168 is also involved in the pentapeptide structure of G166-H167-S168-L169-G170. Furthermore, S168 also constituted the active center of Lip4 with seven other conserved amino acids, such as G104/288, S105, A195, P196, V225, and I287. Specifically, the two α-helices of the lid structure outside the active pocket control the entry of the substrate. Therefore, the eukaryotic system was constructed to express Lip4 efficiently, and the amino acid sites related to the catalytic efficiency of the Lip4 were clarified, providing a theoretical basis for its subsequent property research and industrial application.
Intrapopulational variability and biochemistry of the globally rare species Coleanthus subtilis in response to the sediment parameters
Authors: Dajdok Zygmunt , Polechońska Ludmiła , Gola Edyta , Gleńsk Michał , Samoń Monika , Klink Agnieszka 
Published: July 2023

Abstract
Aims
Coleanthus subtilis is a globally rare or threatened, ephemeral therophyte of exposed bottoms of water reservoirs and riverbanks. Nevertheless, it shows a potential to conquer new areas and dominate in phytocoenoses showing morphological differentiation. The main aim of the study was to reveal the intrapopulational variability of the species in relation to sediment characteristics, ecological preferences in microscale, and allelopathic potential in the context of biochemical composition of its biomass.
Methods
A fishpond with a stable population was selected and data were collected from 107 plots distributed in transects perpendicular to the pond banks; in each plot following parameters were determined: pH, macroelement content in sediments, morphotypes of C. subtilis specimens, species composition of vegetation patches, and ecological indicator values. Collected specimens were used to determine the chemical composition and ecotoxicity.
Results
Morphological variability of C. subtilis is determined by pH and macroelement content of the sediments. Those parameters and values of ecological indicators (moisture, temperature and light) show a link to the composition of vegetation patches and the phytocoenoses with the high abundance of C. subtilis. Capability of C. subtilis to inhibit germination and growth of other species may account for its prevalence in phytocoenoses. Benzoxazinone derivatives, phenolic compounds and carboxylic acids known to be allelochemicals were identified in the species.
Conclusions
Morphological variability of C. subtilis is controlled by pH and nutrient content in sediments and species composition of vegetation patches; allelopathic effect found experimentally may be conditioned by chemical compounds determined in its specimens.
Identification of Historical Textiles via Non-destructive Spectroscopic Analysis and Multivariate Cluster Analysis
Authors: Celani Caelin P. , Degano Ilaria , Chen Carolyn , Jaeger Olivia , Speed Amelia M. , Booksh Karl S. , Alcántara-García Jocelyn 
Published: July 2023

Abstract
One of the foremost challenges facing dye analysis of historical textiles is that the gold standard technique – high performance liquid chromatography (HPLC) – is inherently destructive, costly, and relatively few institutions have the necessary equipment and expertise. This is especially problematic considering historical samples are unique, sampling is undesirable, and historical textiles can be exceptionally fragile. One proposed solution to this is the implementation of non-destructive, spectroscopic, techniques, such as Fiber Optic Reflectance Spectroscopy (FORS). In this work, 204 well-provenanced red Norwich textiles were measured with FORS and analyzed, aiming to test if the technique would be able to discern the chromophore combinations / recipes used to dye historical textiles. Cluster analysis algorithms and spectroscopic domain knowledge were coupled with selective HPLC validation to assess overall ability of FORS to identify chromophore combinations. The UV/VIS region, particularly 380-469 nm, showed a narrow visible region that was primarily responsible for clustering behavior that correlates with HPLC-validated samples. In contrast, the near infrared (NIR) region of the spectrum contained little meaningful information in multivariate space. This indicates that FORS shows promise for identifying chromophores in textile samples. Suspecting the observed spectral inflection point shift around 600 nm was correlated to the presence of mordants, complementary X-ray fluorescence (XRF) analysis was used, with the corresponding statistical treatment, which showed no correlation. From this work, three main conclusions can be drawn: 1) FORS adequately identifies visual information, which shows reasonable correlation to HPLC-validated dye recipes, warranting further investigation, and indicating utility for confirmatory analysis, and strongly suggesting this is a good tool for persons with visual impairments; 2) XRF analysis confirms that ~600 nm inflection point shift and mordant are not correlated when measuring dyed textiles; 3) many documented structural-to-spectral relationships established in the conservation literature are too weak in dyed textiles for statistical analysis and, by extension, expert spectral identification.
Graphical solution of algebraic equations; d'pres Lill
Authors: Nakai Isao 
Published: July 2023

Abstract

Lill's graphical method with a pseudo-billiard to identify the real roots of real algebraic equations provides a fundamental basis for the mathematical theory of paper folding, as beautifully demonstrated in a YouTube video of Polster; https://www.youtube.com/watch?v=IUC-8P0zXe8} uploaded in 2019. In an article, "Polynomials as Polygons" in Math Intelligencer 2017, Tabachinikov rivisits an anonymous paper subsequent toLill's original paper, and explores a graphical approach for identifying the imaginary roots. Guided by the above articles and Horner's method, we naturally consider a polynomial with complex coefficients as a polygonal line in the Argand--Gauss plane and a root of the equation as a string of similar triangles ``reflecting" on the segments of the line, thereby unifying the seemingly disparate geometrical approaches to real and imaginary roots. We also examine the factorization of polynomials and the multiplicity of roots from a graphical viewpoint. For instance, a repeated root of a real cubic equation is a tri-tangent line to a certain three-parabola. This refines the well known classic result of Beloch. In the final section, we discuss a method for identifying real quadratic factors of real polynomicals.
The mechanistic functional landscape of Retinitis Pigmentosa: a Machine Learning driven approach to drug Repurposing.
Authors: Esteban-Medina Marina , Loucera Carlos , Rian Kinza , Velasco Sheyla , Olivares-Gonzalez Lorena , Rodrigo Regina , Dopazo Joaquin , Peña-Chilet Maria 
Published: July 2023

Abstract
Background
Retinitis pigmentosa is the prevailing genetic cause of blindness in developed nations with no effective treatments. In the pursuit of unraveling the intricate dynamics underlying this complex disease, mechanistic models emerge as a tool of proven efficiency rooted in systems biology, to elucidate the interplay between RP genes and their mechanisms. The integration of mechanistic models and drug-target interactions under the umbrella of machine learning methodologies provides a multifaceted approach that can boost the discovery of novel therapeutic targets, facilitating drug repurposing in RP.
Methods
By mapping Retinitis Pigmentosa-related genes (obtained from Orphanet, OMIM and HPO databases) onto KEGG signaling pathways, a collection of signaling functional circuits encompassing Retinitis Pigmentosa molecular mechanisms was defined. Next, a mechanistic model of the so-defined disease map, where the effects of interventions can be simulated, was built. Then, an explainable multi-output random forest regressor was trained using normal tissue transcriptomic data to learn causal connections between targets of approved drugs from DrugBank and the functional circuits of the mechanistic disease map. Selected target genes involvement were validated on rd10 mice, a murine model of Retinitis Pigmentosa.
Results
A mechanistic functional map of Retinitis Pigmentosa was constructed resulting in 226 functional circuits belonging to 40 KEGG signaling pathways. The method predicted 109 targets of approved drugs in use with a potential effect over circuits corresponding to nine hallmarks identified. Six of those targets were selected and experimentally validated in rd10 mice: Gabre, Gabra1, Slc12a5, KCC2, Grin1, Glr2a. As a result, we provide a resource to evaluate drugs with the potential to be repurposed in Retinitis Pigmentosa.
Conclusions
The possibility of building actionable disease models in combination with machine learning algorithms to learn causal drug-disease interactions opens new avenues for boosting drug discovery. Such mechanistically-based hypotheses can guide and accelerate the experimental validations prioritizing target candidates for drug repositioning. In this work, a mechanistic model describing the functional disease map of Retinitis Pigmentosa was developed, identifying six promising target candidates for drug repositioning. Further experimental validation will demonstrate the efficiency of this approach for a systematic application to other rare diseases.
Cheese Price Softening in the U.S.: Determining Effects from Excessive Cheese in the Market
Authors: Wang Zuyi , Tejeda Hernan , Kim Man-Keun , Siu Wai Yan 
Published: July 2023

The United States (U.S.) cheese sector has experienced continuous production and consumption growth since the 1990’s with its market characterized as having oligopolistic behavior, signaling that prices respond to supply. Despite the steady industry growth, it experienced a recent multi-year period of declining prices. This paper addresses how growth towards an all-time record surplus of cheese, in response to excess milk production and export drops, weakened U.S. cheese prices. This study finds there is a significant short-run effect on price from overly expanded cheese supply, i.e., specifically taking a 2019 monthly average supply of 2.48 billion pounds, a 10% rise in cheese supply results in an immediate price decrease of 8.7%, translating to an average decline of USD 0.15/pound. The cumulative effect on its price from this 10% change results in a cumulative drop in cheese prices of 18.9%, approximately equal to a decrease of USD 0.34/pound. Findings provide relevant information to cheese, dairy producers and stakeholders, for milk production schedules, risk management and dairy policy analysis.
Evaluation of in vitro antioxidant potential of Anisomeles indica Kuntze and exploration of its bioactive phytoconstituents
Authors: T. Manjunatha , Vadlapudi Kumar , H.M. Prathap , D.V. Poornima , F Ruksana , E Vishala , M Savitharani , CM Anuradha 
Published: July 2023

Introduction and Aim: Anisomeles indica Kuntze (A. indica) is employed to treat a wide range of illnesses. The Present study was aimed at establishing preliminary phytochemical screening, UV-Visible spectrophotometric, FT-IR analysis, and evaluation of biological activities of A. indica extracts.

Materials and Methods: A. indica leaves were employed for the Soxhlet extraction. Furthermore, the crude extracts were utilized for phytochemical analysis and quantitative estimations of phenolics and flavonoids. UV-Vis spectrophotometric, and FT-IR analysis provided further evidence for the existence of bioactive constituents in A. indica extracts. The A. indica extracts were assessed for antioxidant potential by DPPH and metal chelation activity.

Results: The findings illustrated that A. indica methanol extract was found to possess the highest yield. The preliminary phytochemical screening, UV-Vis spectrophotometric, and FT-IR fingerprint analysis provided evidence for the existence of significant bioactive constituents. A.indica methanol extract has significant total phenol, flavonoid content, and TAC (total antioxidant capacity) among all extracts. These characteristics are attributed to substantial antioxidant activity and metal-chelating activity.

Conclusion: The findings of this study imply that A. indica extract possess antioxidant activity as evaluated by the potential DPPH radical scavenging and chelate metal ions. These characteristics are interconnected to the high flavonoid and phenol content, and distinctive secondary metabolites. The finding indicates that A.indica is abundant in active phytoconstituents, which also offer a vital source for effective therapeutic management.
Analysis of intrinsic elements of poetry for class IV students of SDIT Insan Karima Cigombong
Authors: Qurotu'ain Salsabila 
Published: July 2023

Background: Poetry is results work literature, which arises from expression feelings and thought, and arises in situation certain. Thing this seen in statement that nothing, rhythm, and pressure play role important in poetry, language imaginative and choice say (vocabulary) arranged by bait, which is total CLASSIFIED in each table, and so on. Poetry is of course not a simple work of art, but a very complex organism. Poetry is created with different linguistic and aesthetic elements. Poetry is also an important record and interpretation of human experience and is written in the most memorable form. There are two main elements in building a poem, namely intrinsic and extrinsic elements.
Purpose: The purpose of this study was to determine students' ability to compose poetry based on the intrinsic elements of class VI SDIT Insan Karima.
Design and methods: The research was conducted using a qualitative approach. The method used by researchers is descriptive qualitative. The subjects in this study were documents made by students, totaling 17 poems. The data collection tool used by the researcher was a document written by a class IV student at SDIT Insan Karima and filling in the rubric carried out by the researcher was based on the theory of Saefu Zaman
Results: The results of this study are that out of 17 student works, almost 100% of the poems made are in accordance with the intrinsic elements requested, but the need for further guidance to students in managing vocabulary that will be poured into these poems.
Constructed wetlands operated as bioelectrochemical systems for improvement and control of wastewater treatment
Authors:   , Hartl Marco 
Published: July 2023

The objective of this work was the improvement and control of wastewater treatment using constructed wetlands operated as Microbial Fuel Cells (CW-MFCs) and Microbial Electrolysis Cells (CW-MECs). For this purpose, eight meso-scale experimental systems were constructed. The first experiment investigated the use of CW-MFC as a bioindicator, showing that it could be used as a qualitative alarm tool for sudden COD increases. The following three experiments investigated the removal of conventional contaminants as well as organic micropollutants (OMPs) using duplicates of CW-MEC, closed-circuit CW-MFC, open-circuit CW-MFC and conventional CW-control. Results showed that CW-MEC and CW-MFC+ increased the removal of COD (7-13%) and ammonium (18-22%) when compared to the control systems. Regarding OMPs, carbamazepine, diclofenac and naproxen removal was increased by 10-17% in CW-MFC+ and CW-MEC when compared to the control, while ibuprofen removal was similar amongst treatments. Additionally, a microbial activity analysis showed that activity was 4-34% higher in CW-MFC+ as compared to CW-control, and a microbial community analysis indicated that anode and cathode communities in CW-MEC were significantly different tq other treatments, seemingly due to the effects of electrolysis. In CW-MFC+ only cathode communities were different. probably due to sampling issues at the anodes.
El objetivo de esta tesis es la mejora de la eficiencia y control del tratamiento de aguas residuales mediante humedales construidos operados como sistemas bioelectroquímicos (CW-BES), tanto en su configuración de celdas microbianas de combustible (CW-MFC) como en configuración de celdas microbianas electrolíticas (CW-MEC). Para este propósito, ocho CW-BES a escala experimental de mesocosmo fueron construidos. Durante el primer experimento se investigó el uso de CW-BES operados como celdas CW-MFC como herramienta de bioindicación de la carga orgánica. En los subsiguientes experimentos se abordó el estudio de la mejora del tratamiento de contaminantes convencionales y microcontaminantes mediante la operación de CW-BES y CW-MFC y se comparó con la eliminación de los mismos con sistemas de humedales control (CW-Control). Los resultados mostraron que los CW-MEC y los CW-MFC incrementaban la eficiencia de tratamiento entre un 7-13% y entre el 18-22% respectivamente a la eliminación de la materia orgánica y el amonio. En relación a la eliminación de microcontaminantes, la eliminación de carbamacepina, diclofenaco y naproxeno mejoró entre un 1 O y un 17% en los CW-BES comparado con los sistemas control, mientras que la eliminación de ibuprofeno no mostró diferencias. El estudio de la actividad microbiana en los sistemas experimentales mostró que ésta aumenta entre un 4 y un 34% en los CW-BES. El estudio de las comunidades microbianas en los sistemas experimentales mostró diferencias significativas tanto en zona anódica como catódica de los CW-BES, comparado con los sistemas experimentales control.
Edge housing : el projecte residencial de vora : Urbanística 4 matí ETSAB 2018-2021
Authors: Galindo González Julián , Clua Uceda Álvaro , Bayona Mas Marta , Crosas Armengol Carles , Perea Solano Miguel Jorge , Bellmunt Chiva Jorge , Aquilué Junyent Inés , García García Miriam , Mas Ibáñez Sara , Mòdol Deltell Dani 
Published: July 2023

La creixent preocupació per la sostenibilitat dels àmbits metropolitans està portant a reconèixer el valor dels espais de vora urbana com a franges de singular rellevància per poder generar sinergies entre la ciutat i la matriu biofísica que la sosté i envolta. Aquest llibre recull el resultat de les últimes edicions dels cursos d’Urbanística IV (ETSAB. Grau en Arquitectura, 2018-2021), en què s’han explorat les oportunitats d’aquests àmbits de vora des del projecte residencial.
Growing concern for the sustainability of metropolitan areas is leading to recognition of the value of urban edge spaces as issues of singular relevance. These fringe spaces could generate synergies between the city and the biophysical matrix that supports and surrounds it. This book contains the results of the last editions of Urban Design IV courses (ETSAB, Architecture Degree Studies, 2018–2021), focusing on the opportunities of these urban edges for the residential project.