bluuebunny/crossref_metadata_2025_split huggingface dataset:
Quantifying cellulose content in plastic-cellulose material mixtures
Authors: Kauppi Emilia , Niskanen Jukka , Hiltunen Eero , Paltakari Jouni 
Published: October 2024

AbstractThis study investigates the capabilities of various measurement techniques for quantifying the cellulose content in reject material from a carton recycling center, which consists of polyethylene, cellulose, and aluminum, along with impurities. Different measurement techniques, including Fourier Transform Infrared Spectroscopy combined with Attenuated Total Reflectance (FTIR-ATR), cellulose dissolution using cupri-ethylenediamine (CED) from plastic followed by gravimetric analysis, acid hydrolysis combined with chromatography, and Thermal Gravimetric Analysis TGA, are employed in this study. Acid hydrolysis combined with chromatography and TGA shows comparable results when compared to different techniques for analyzing pulper reject. Dissolution with CED showed also comparable results but shows higher variation than TGA or chromatography. FTIR absorbance ratio of 1025/2917 correlates with cellulose content, but it shows high variation and lacks sensitivity below 5% cellulose content in polyethylene. This limitation is attributed to factors such as the limited measurement area (1.8 mm) and the large particle size of the cellulose and LDPE mixtures, possibly caused by inadequate grinding of LDPE. In conclusion, TGA and acid hydrolysis combined with chromatography are the most reliable for quantifying cellulose content in recycling reject, providing more consistent and accurate results than FTIR-ATR or CED dissolution methods.
How much C is in TPACK? A systematic review on the assessment of TPACK in mathematics
Authors: Kadluba Alina , Strohmaier Anselm , Schons Christian , Obersteiner Andreas 
Published: October 2024

Abstract
Teachers need technological pedagogical content knowledge (TPACK) for teaching with technology, and its assessment is crucial for research and practice. Previous literature reviews on TPACK assessment were not specific to a content area (e.g., mathematics), although, by definition, the TPACK framework includes content-specific knowledge facets. Consequently, requirements for TPACK assessment could differ depending on the content. Further, reliable assessment of mathematics-specific TPACK depends on the quality of the test instruments used, but there is no consensus on the type of instruments used in past studies. This systematic literature review adds to existing reviews by focusing on TPACK assessment in mathematics, investigating the study characteristics, the instrument characteristics, and the operationalizations of TPACK. Regarding study characteristics, the findings reveal an increase in the number of studies conducted across various countries worldwide. As for instrument characteristics, researchers frequently used self-developed instruments to assess TPACK, often without providing information on reliability or validity measures. Regarding operationalizations, more than half of the studies used self-report scales to assess mathematics-specific TPACK, followed by observations and material analyses, while knowledge tests were hardly used. Additionally, assessments typically referred to the domain of mathematics as a whole instead of subdomains of mathematics. The results raise questions regarding the validity of the instruments and the comparability across studies.
Contestations of Internet Governance and Digital Authoritarianism in Pakistan
Authors: Ahmed Zahid Shahab , Yilmaz Ihsan , Akbarzadeh Shahram , Bashirov Galib 
Published: October 2024

AbstractThe existing literature on Internet governance offers important insights on the relationship between state and society in China and the West. It is important to explore this relationship in the developing world. This study focuses on Pakistan, exploring the role of relevant legal frameworks, political authorities, and institutional structures in relation to monitoring and regulating telephone traffic, legal compliance, and consumer interests. By focusing on the interplay between political dynamics, international partnerships, and evolving digital landscapes, this study examines the evolution of Internet governance model in Pakistan. While Pakistan appears on a trajectory to digital authoritarianism, its journey is hampered by structural limitations, resistance from democratic forces, concerns about data protection and privacy, pushback from the judiciary, and the emergence of a vigilant civil society. Challenges in establishing a coherent authoritarian model of Internet governance have resulted in an ad hoc approach. This study offers a nuanced understanding of multifaceted factors influencing Internet governance in a developing country.
Parental Perceptions of Community and Professional Attitudes Toward Autism
Authors: Thayer Natalie , Marsack-Topolewski Christina , Wilson Kaitlyn 
Published: October 2024

AbstractThe purpose of this study was to examine parent perceptions of professional and community attitudes about autism through the lens of parenting their autistic children from birth through adulthood. Implications of this research may assist with future development and study of professional and community supports of individuals on the autism spectrum and their families. The study participants consisted of 51 parents who had an adult-aged child on the autism spectrum. One-on-one interviews were conducted with parents about their experiences raising a child with autism. Data were double-coded and analyzed using a qualitative, phenomenological approach to explore parents’ experiences with and perceptions of society members’ attitudes towards autism. Positive and negative themes were identified across parents’ perceptions of professionals and of community members. Themes regarding professional attitudes included cooperating with family requests, presuming competence of individuals with autism, complacency towards the needs of families and individuals with autism, and discrimination towards the individual with autism based on age or level of need. Themes regarding community member attitudes included valuing the strengths of individuals with autism, accommodating autistic differences, intolerance of autistic traits, and prejudice towards individuals with autism. Findings indicate that professional and community members presented with both positive and negative attitudes towards autism and individuals on the autism spectrum, with negative attitudes proving more prevalent in parent recollections. Results suggest a need for further research and related training to improve interactions with and support of individuals with autism and their families.
Spoiled Rotten? LMXSC Motivates Greater Supervisor-Directed Deviance in Individuals Who Were Overindulged as Children
Authors: Korman Benjamin A. 
Published: October 2024

AbstractRecent work has demonstrated that perceiving oneself as being treated better by one’s leader compared to one’s coworkers’ treatment by the same leader (i.e., leader-member exchange social comparison; LMXSC) can motivate aggressive behavior towards one’s colleagues. Extending these findings, the current paper argues that high LMXSC employees can also be motivated to show aggressive behavior towards their leader, depending on their early experiences with authority figures (i.e., parents/guardians). Using both experimental and time-lagged field study designs, this study demonstrates that LMXSC elicits hubristic pride which, in turn, motivates supervisor-directed deviance in subordinates who were overindulged by their parents/guardians as children. These findings challenge the assumption that high LMXSC employees reciprocate their leaders’ positive treatment by revealing when and why they can be motivated to demonstrate aggressive and deviant leader-directed behavior.
Scheduling of Earth observing satellites using distributed constraint optimization
Authors: Krigman Shai , Grinshpoun Tal , Dery Lihi 
Published: October 2024

AbstractEarth observation satellites (EOS) are satellites equipped with optical sensors that orbit the Earth to take photographs of particular areas at the request of users. With the development of space technology, the number of satellites has increased continuously. Yet still, the number of satellites cannot meet the explosive growth of applications. Thus, scheduling solutions are required to satisfy requests and obtain high observation efficiency. While the literature on multi-satellite scheduling is rich, most solutions are centralized algorithms. However, due to their cost, EOS systems are often co-funded by several agents (e.g., countries, companies, or research institutes). Central solutions require that these agents share their requests for observations with others. To date, there has yet to be a solution for EOS scheduling that protects the private information of the interested parties. In this study, we model the EOS scheduling problem as a distributed constraint optimization problem (DCOP). This modeling enables the generation of timetables for the satellites in a distributed manner without a priori sharing users’ private information with some central authority. For solving the resulting DCOP, we use and compare the results of two different local search algorithms—Distributed Stochastic Algorithm and Maximum Gain Message—which are known to produce efficient solutions in a timely manner. The modeling and solving of the resulting DCOP constitute our new solution method, which we term Distributed Satellite Timetable Solver (DSTS). Experimental evaluation reveals that the DSTS method provides solutions of higher quality than a commonly used centralized greedy algorithm and is comparable to an additional centralized algorithm that we propose.
Microstructural Characterization of Dry Powder Inhaler Formulations Using Orthogonal Analytical Techniques
Authors: Farias Gonçalo , Ganley William J. , Price Robert , Conti Denise S. , Mangal Sharad , Bielski Elizabeth , Newman Bryan , Shur Jagdeep 
Published: October 2024

Abstract
Purpose
For locally-acting dry powder inhalers (DPIs), developing novel analytical tools that are able to evaluate the state of aggregation may provide a better understanding of the impact of material properties and processing parameters on the invivo performance. This study explored the utility of the Morphologically-Directed Raman Spectroscopy (MDRS) and dissolution as orthogonal techniques to assess microstructural equivalence of the aerosolized dose of DPIs collected with an aerosol collection device.

Methods
Commercial DPIs containing different strengths of Fluticasone Propionate (FP) and Salmeterol Xinafoate (SX) as monotherapy and combination products were sourced from different regions. These inhalers were compared with aerodynamic particle size distribution (APSD), dissolution, and MDRS studies.

Results
APSD testing alone might not be able to explain differences reported elsewhere in invivo studies of commercial FP/SX drug products with different Advair® strengths and/or batches. Dissolution studies demonstrated different dissolution rates between Seretide™ 100/50 and Advair® 100/50, whereas Flixotide™ 100 and Flovent® 100 had similar dissolution rates between each other. These differences in dissolution profiles were supported by MDRS results: the dissolution rate is increased if the fraction of FP associated with high soluble components is increased. Principle component analysis was used to identify the agglomerate classes that better discriminate different products.

Conclusions
MDRS and dissolution studies of the aerosolized dose of DPIs were successfully used as orthogonal techniques. This study highlights the importance of further assessing invitro tools that are able to provide a bridge between material attributes or process parameters and invivo performance.
Strategies for managing corn crop residue in the context of greenhouse gas emissions
Authors: Komorowska Monika , Niemiec Marcin , Sikora Jakub , Suder Marcin , Gródek-Szostak Zofia , Atilgan Atilgan , Ovcharuk Oleg , Lach Łukasz , Kusa Rafał , Duda Joanna 
Published: October 2024

AbstractFood production is one of the most important sources of greenhouse gas (GHG) emissions, both in primary production and in processing and the logistics chain. The most problematic and risky is the optimization of environmental effects in the stage of primary production. This is due to the significant influence of factors related to climate and soil that are difficult to predict. The scientific literature offers much information on the impact of crop residue management, but the context for assessing the impact of crop residue management in corn production on the carbon footprint is still unclear. The effectiveness of using organic additives like biochar, compost, corn, or straw to maintain soil productivity is well acknowledged. Information about the effects of particular crop residue management strategies on soil carbon sequestration, soil quality, and crop yield in corn cultivation is currently scarce. The research aimed to assess the potential for optimizing corn production through modifications in crop residue management, with a focus on the efficiency indicator being the level of greenhouse gas emissions per functional unit of the product. A 3-year growing experiment was conducted to investigate the impact of different corn crop residue management strategies. The modifications of the corn cultivation technology in terms of the crop residue management strategy had a significant impact on the yield of plants and the amount of GHG emissions. The conversion of corn straw to biochar and its introduction into the soil reduced the GHG emissions from corn cultivation per functional unit, despite the energy expenditure related to straw transport and biochar production. From a 3-year time perspective, a beneficial effect of biochar addition on the size of the commercial yield of plants was observed. In variants with biochar and a reduced level of nitrogen fertilization, no reduction in yields was observed. This confirmed the hypothesis that biochar could be a useful material for the production of slow-acting fertilizers.
Connecting algorithmic fairness to quality dimensions in machine learning in official statistics and survey production
Authors: Schenk Patrick Oliver , Kern Christoph 
Published: October 2024

AbstractNational Statistical Organizations (NSOs) increasingly draw on Machine Learning (ML) to improve the timeliness and cost-effectiveness of their products. When introducing ML solutions, NSOs must ensure that high standards with respect to robustness, reproducibility, and accuracy are upheld as codified, e.g., in the Quality Framework for Statistical Algorithms (QF4SA; Yung et al. 2022, Statistical Journal of the IAOS). At the same time, a growing body of research focuses on fairness as a pre-condition of a safe deployment of ML to prevent disparate social impacts in practice. However, fairness has not yet been explicitly discussed as a quality aspect in the context of the application of ML at NSOs. We employ the QF4SA quality framework and present a mapping of its quality dimensions to algorithmic fairness. We thereby extend the QF4SA framework in several ways: First, we investigate the interaction of fairness with each of these quality dimensions. Second, we argue for fairness as its own, additional quality dimension, beyond what is contained in the QF4SA so far. Third, we emphasize and explicitly address data, both on its own and its interaction with applied methodology. In parallel with empirical illustrations, we show how our mapping can contribute to methodology in the domains of official statistics, algorithmic fairness, and trustworthy machine learning.Little to no prior knowledge of ML, fairness, and quality dimensions in official statistics is required as we provide introductions to these subjects. These introductions are also targeted to the discussion of quality dimensions and fairness.
Development, physico-chemical characterization, and in vivo stability of a novel aglycosylated monoclonal antibody targeting FAM19A5
Authors: Kim Won Kyum , Seong Jae Young , Lee Gyun Min 
Published: October 2024

AbstractIntroducing aglycosylation into therapeutic monoclonal antibodies (mAbs) can prevent side effects associated with fragment crystallizable (Fc)-mediated effector functions. This modification induces structural changes in the heavy chain constant domain 2-constant domain 3 within Fc regions, which decreases antibody stability at acidic pH and high temperature. In this study, NS101, a novel aglycosylated mAb targeting family with sequence similarity 19, A5 (FAM19A5) for neurological diseases was evaluated with respect to its developability and in vivo stability as therapeutics. When recombinant CHO cells producing NS101 were cultivated using a fed-batch mode in a 500 L bioreactor, cell growth and mAb production profiles were consistent across three consecutive runs. NS101, thus produced, features an additional intra-disulfide bond in the heavy chain complementarity-determining region 3, contributing strong and sophisticated binding to the cryptic epitope. The melting temperature (Tm) of NS101 was lower than that of commercial glycosylated therapeutic mAbs, but NS101 showed better stability at 4 °C for 36 months. The binding affinity of NS101 to FAM19A5 and neonatal Fc receptor were comparable to those of glycosylated NS101. In addition, in three human cohort groups receiving 6, 12, and 24 mg/kg of NS101, the mean half-life was 22 days, and NS101 exhibited in vivo stability, considering that the half-lives of commercialized therapeutic mAbs and endogenous IgGs are 2–4 weeks and 21 days, respectively. Taken together, the results obtained here demonstrate that NS101, a novel aglycosylated mAb, has potential as a therapeutic agent for neurological diseases.
The effect of immigration policy regime change on state-level participation rates of the special supplemental nutrition program for women, infants, and children in the United States
Authors: Lee Keehyun , Capps Oral 
Published: October 2024

AbstractThe change in immigration policy in state-level participation rates of the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) in the United States by citizenship and ethnicity was estimated over the period 2013-2018 using the Triple Difference estimate method. The principal finding was that the state-level WIC participation rate for Hispanic non-citizens was lower by 8.6% relative to all other groups (Hispanic citizens, non-Hispanic citizens, and non-Hispanic non-citizens). This study then not only provides quantitative evidence concerning the ongoing debate about the impact of the immigration policy changes under the Trump administration but also extends the extant literature by estimating the causal effects of immigration policy regime change on WIC participation of non-citizens.
Optimizing Resistance Training for Sprint and Endurance Athletes: Balancing Positive and Negative Adaptations
Authors: Van Hooren Bas , Aagaard Per , Blazevich Anthony J. 
Published: October 2024

Abstract
Resistance training (RT) triggers diverse morphological and physiological adaptations that are broadly considered beneficial for performance enhancement as well as injury risk reduction. Some athletes and coaches therefore engage in, or prescribe, substantial amounts of RT under the assumption that continued increments in maximal strength capacity and/or muscle mass will lead to improved sports performance. In contrast, others employ minimal or no RT under the assumption that RT may impair endurance or sprint performances. However, the morphological and physiological adaptations by which RT might impair physical performance, the likelihood of these being evoked, and the training program specifications that might promote such impairments, remain largely undefined. Here, we discuss how selected adaptations to RT may enhance or impair speed and endurance performances while also addressing the RT program variables under which these adaptations are likely to occur. Specifically, we argue that while some myofibrillar (muscle) hypertrophy can be beneficial for increasing maximum strength, substantial hypertrophy can lead to macro- and microscopic adaptations such as increases in body (or limb) mass and internal moment arms that might, under some conditions, impair both sprint and endurance performances. Further, we discuss how changes in muscle architecture, fiber typology, microscopic muscle structure, and intra- and intermuscular coordination with RT may maximize speed at the expense of endurance, or maximize strength at the expense of speed. The beneficial effect of RT for sprint and endurance sports can be further improved by considering the adaptive trade-offs and practical implications discussed in this review.

Graphical abstract
Immunohistochemical Evaluation of Potential Biomarkers for Targeted Intraoperative Fluorescence Imaging in Endometriosis: Towards Optimizing Surgical Treatment
Authors: Tummers Fokkedien H. M. P. , de Koning Rozemarijn , Bazelmans Maria K. , Jansen Frank Willem , Blikkendaal Mathijs D. , van Vlierberghe Ronald L. P. , Vahrmeijer Alexander L. , Hazelbag Hans Marten , Kuppen Peter J. K. 
Published: October 2024

AbstractSurgical intervention for endometriosis is an important treatment modality, yet incomplete resection resulting from poor visibility of affected tissue and consequently recurrence of disease remains a prevalent challenge. Intra-operative visualization of endometriosis, enabling fluorescence-guided surgery (FGS), could help to optimize surgical treatment. A biomarker, upregulated in endometriosis compared to adjacent tissue, is required to use as a target for FGS. Immunohistochemistry was used to evaluate protein expression of a selection of previously identified potential biomarkers. Ten biomarkers were stained in a large cohort of 84 tissues, both deep and peritoneal endometriosis and tissue without endometriosis, all from patients with confirmed endometriosis. MMP11 and VCAN showed the largest upregulation in endometriosis compared to adjacent tissue and showed a membranous or extracellular staining pattern. MMP11 is a promising target for glandular and stromal visualization, VCAN for stromal visualization only. For both biomarkers, upregulation was high in both peritoneal and deep endometriosis and for patients with and without hormonal medication. Other stained biomarkers showed non-beneficial characteristics based on staining pattern or upregulation. Analysis of all endometriosis samples showed that combined glandular and stromal targeting is expected to result in optimal visualization of endometriosis. Further research is needed to determine whether targeting one biomarker is sufficient for this goal, or if dual targeting is necessary. Development of clinical tracers for VCAN and MMP11 is necessary.