bluuebunny/crossref_metadata_2025_split huggingface dataset:
Colorimetric enzymatic rapid test for the determination of atropine in baby food using a smartphone
Authors: Domínguez M. , Moraru D. , Lasso S. , Sanz-Vicente I. , de Marcos S. , Galbán J. 
Published: July 2024

AbstractA method for the enzymatic determination of atropine has been developed, which is based on a sequence of reactions involving (1) the hydrolysis of atropine to give tropine; (2) the enzymatic oxidation of tropine with NAD (catalysed by tropinone reductase); and (3) an indicator reaction, in which the NADH previously formed reduces the dye iodonitrotetrazolium chloride (INT) to a reddish species, the reaction catalysed by diaphorase. The method was first developed in solution (linear response range from 2.4 × 10−6 M to 1.0 × 10−4 M). It was then implemented in cellulose platforms to develop a rapid test where the determination is made by measuring the RGB coordinates of the platforms using a smartphone-based device. The device is based on the integrating sphere concept and contains a light source to avoid external illumination effects. The smartphone is controlled by an app that allows a calibration line to be generated and the atropine concentration to be quantified; moreover, since the app normalizes the CCD response of the smartphone, the results and calibrations obtained with different smartphones are similar and can be shared. Using the G coordinate, the results were shown to have a linear response with the concentration of atropine ranging from 1.2 × 10−5 M to 3.0 × 10−4 M with an RSD of 1.4% (n = 5). The method has been applied to the determination of atropine in baby food and buckwheat samples with good results.
Graphical Abstract
Perceptual decoupling in the sustained attention to response task is unlikely
Authors: Bedi Aman , Russell Paul N. , Helton William S. 
Published: July 2024

AbstractResearchers dispute the cause of errors in high Go, low No Go target detection tasks, like the Sustained Attention to Response Task (SART). Some researchers propose errors in the SART are due to perceptual decoupling, where a participant is unaware of stimulus identity. This lack of external awareness causes an erroneous response. Other researchers suggest the majority of the errors in the SART are instead due to response leniency, not perceptual decoupling. Response delays may enable a participant who is initially unaware of stimulus identity, perceptually decoupled, to become aware of stimulus identity, or perceptually recoupled. If, however, the stimulus presentation time is shortened to the minimum necessary for stimulus recognition and the stimulus is disrupted with a structured mask, then there should be no time to enable perception to recouple even with a response delay. From the perceptual decoupling perspective, there should be no impact of a response delay on performance in this case. Alternatively if response bias is critical, then even in this case a response delay may impact performance. In this study, we shortened stimulus presentation time and added a structured mask. We examined whether a response delay impacted performance in the SART and tasks where the SART’s response format was reversed. We expected a response delay would only impact signal detection theory bias, c, in the SART, where response leniency is an issue. In the reverse formatted SART, since bias was not expected to be lenient, we expected no impact or minimal impact of a response delay on response bias. These predictions were verified. Response bias is more critical in understanding SART performance, than perceptual decoupling, which is rare if it occurs at all in the SART.
Recovery of muscular tissue and functional results of patients treated with a gluteus maximus flap transfer due to chronic abductor deficiency after total hip arthroplasty
Authors: Ruckenstuhl Paul , Wassilew Georgi , Theobald Katrin , Hipfl Christian , Pumberger Matthias , Perka Carsten , Hardt Sebastian 
Published: July 2024

Abstract
Background
To evaluate the function of the abductor mechanism after a gluteus maximus flap transfer due to a degeneration of the muscles after hip arthroplasty, we analyzed the post-operative functional outcome as well as radiographic effects in muscle tissue.

Methods
This present study included six consecutive patients operatively treated with a gluteus maximus flap due to chronic gluteal deficiency after total hip arthroplasty. All patients presented a preoperative severe limp, hip abductor deficiency and a history of conservative treatment without the relief of symptoms. MRI scans were performed pre- and postoperatively to evaluate the muscle volume and grade of degeneration of the abductor mechanism. For clinical evaluation, the Harris hip score (HHS) was applied pre- and postoperatively. Moreover, the intensity of pain, the Trendelenburg sign, the internal rotation lag sign and the abductor muscle force were measured before and after surgery.

Results
Overall, the evaluation of the Magnetic Resonance Imaging (MRI) showed no significant changes in total muscle volume during the follow-up period. Separate measurements presented a significant growth of muscle volume for the gluteus minimus and tensor fascia lata compared to preoperative imaging during the follow-up period. The amount of fat volume decreased for all the measured muscles with statistical significance for the gluteus minimus, the gluteus medius and the tensor fascia lata. No further muscle degeneration and no flap necrosis were measured. The postoperative HHS results were not statistically significant compared to the preoperative results.

Conclusions
Besides fair clinical results, the radiological measurements indicate that the flap transfer enables functional muscular tissue recovery and prevents further degeneration. Given these conditions, the gluteus maximus muscle flap transfer represents a viable treatment option for patients with chronic gluteal deficiency in selected patients.
Histopathological growth pattern and vessel co-option in intrahepatic cholangiocarcinoma
Authors: Li Zihan , Nguyen Canh Hiep , Takahashi Kenta , Le Thanh Dong , Nguyen Thi Quynh , Yang Rui , Yoshimura Kaori , Sato Yasunori , Nguyen Thi Khuyen , Nakata Hiroki , Ikeda Hiroko , Kozaka Kazuto , Kobayashi Satoshi , Yagi Shintaro , Harada Kenichi 
Published: July 2024

AbstractIntrahepatic cholangiocarcinoma (iCCA) exhibits different blood imaging features and prognosis depending on histology. To clarity histopathological growth patterns (HGPs) and vascularization processes of iCCA, we collected 145 surgical specimens and histologically classified them into large bile duct (LBD) (20 cases), small bile duct (SBD) (54), cholangiolocarcinoma (CLC) (35), combined SBD–CLC (cSBD–CLC) (26), and ductal plate malformation (DPM) (10) (sub)types. According to the invasive pattern at the interface between tumor and adjacent background liver, HGPs were classified into desmoplastic, pushing, and replacing HGPs. Desmoplastic HGP predominated in LBD type (55.5%), while replacing HGP was common in CLC (82.9%) and cSBD–CLC (84.6%) subtypes. Desmoplastic HGP reflected angiogenesis, while replacing HGP showed vessel co-option in addition to angiogenesis. By evaluating microvessel density (MVD) using vascular markers, ELTD1 identified vessel co-option and angiogenesis, and ELTD1-positive MVD at invasive margin in replacing HGP was significantly higher than those in desmoplastic and pushing HGPs. REDD1, an angiogenesis-related marker, demonstrated preferably higher MVD in the tumor center than in other areas. iCCA (sub)types and HGPs were closely related to vessel co-option and immune-related factors (lymphatic vessels, lymphocytes, and neutrophils). In conclusion, HGPs and vascular mechanisms characterize iCCA (sub)types and vessel co-option linked to the immune microenvironment.
Understanding the family burden and caregiver role in stroke rehabilitation: insights from a retrospective study
Authors: Maggio Maria Grazia , Corallo Francesco , De Francesco Morena , De Cola Maria Cristina , De Luca Rosaria , Manuli Alfredo , Quartarone Angelo , Rizzo Amelia , Calabrò Rocco Salvatore 
Published: July 2024

Abstract
Introduction
Stroke negatively impacts both patients and their families, who must face multiple changes after the onset of the disease. Family caregivers must face new problems with a possible sense of inadequacy, stress and burden. Our retrospective study aimed to assess the burden of caregivers during the rehabilitation process of patients with Stroke.

Material and method
This study included patients with a diagnosis of stroke and their caregiver, who attended the Day Hospital of the IRCCS Neurolesi Center "Bonino-Pulejo", Messina, Italy, between January 2018 and October 2019, using electronic recovery system data. The final sample consisted of 30 patients and their caregivers.

Results
Significant improvements were observed in patients' cognitive and mood scores, reflecting the efficacy of rehabilitation therapies. Additionally, a correlation emerged between patients' reported anxiety levels and caregivers' reported depression levels, highlighting a dynamic interaction between the emotional states of the two groups.

Conclusion
The study highlights the intricate interplay between caregiver characteristics, patient outcomes, and family dynamics in the context of caregiving. Targeted interventions aimed at improving family resilience and coping mechanisms are crucial to optimizing the well-being of both caregivers and patients.
Genomic insights into Leminorella grimontii and its chromosomal class A GRI β-lactamase
Authors: Aldeia Claudia , Campos-Madueno Edgar I. , Endimiani Andrea 
Published: July 2024

AbstractLeminorella grimontii strain LG-KP-E1-2-T0 was isolated from Zophobas morio larvae. It showed a susceptibility phenotype compatible with the expression of an inducible extended-spectrum β-lactamase. The presence of a chromosomal bla gene encoding for the class A GRI-1 β-lactamase was revealed by whole-genome sequencing. GRI-1 shared the highest amino acid identity with RIC-1 and OXY-type β-lactamases (76–80%). Analysis of six further publicly-available L. grimontii draft genomes deposited in NCBI revealed that blaGRI−1 was always present. Core-genome analysis indicated that LG-KP-E1-2-T0 was unique from other strains. We provided the first complete genome of L. grimontii and new insights on its chromosomal β-lactamases.
The effect of growth mindset on motivation and strategy use in Hong Kong students’ integrated writing performance
Authors: Zhang Jiahuan , Liu Yaping , Cheong Choo Mui 
Published: July 2024

AbstractGrowth mindset (GM) theory conceptualizes that one’s ability can be improved with effort (Dweck, Self-theories: Their role in motivation, personality, and development, Taylor & Francis, 1999) from a social-cognitive perspective. Self-determination theory (SDT) emphasizes the motivational source of learning, i.e. autonomous motivation (AM) and controlled motivation (CM). The two motivational theories can both lead to strategy use (SU) in writing contexts. To provide a more comprehensive understanding of motivation, this study investigated GM, AM, CM and SU through an integrated writing task. Participants were 465 secondary-four students in Hong Kong. Structural equation modelling showed that GM indirectly promoted writing performance through the mediation of AM and SU. Besides, neither motivations exerted direct effect on writing performance, whereas both did so via the mediation of SU. The findings unveiled the importance of GM in Hong Kong secondary school students’ writing performance since it contributed to AM and SU. Regarding pedagogical implications, we encourage the proliferation of GM in every-day classroom.
Histological evaluation of different concentrations of hyaluronic-acid-added zinc oxide eugenol on rat molar pulp
Authors: Bektas Irmak , Hazar Yoruc Afife Binnaz , Cinel Leyla , Ekinci Meltem , Horoz Seher Eda , Turet Deniz Mukaddes , Mentes Ali 
Published: July 2024

AbstractHyaluronic acid (HA), known for diverse properties, was investigated for its potential in dental pulp therapy. This study investigated the potential of HA in dental pulp therapy by examining the physical properties and effects of zinc oxide eugenol (ZOE) pulpotomy materials containing varying HA concentrations on rat molar teeth. In vitro tests assessed compressive strength and hardness of ZOE materials blended with HA (0.5%, 1%, 3%) and HA gels (0.54%, 0.8%). 120 samples, encompassing the control group, underwent compressive strength testing, while 60 samples were designated for hardness assessment. In vivo experiments on rat molars studied histological effects of HA-containing ZOE on dental pulp over 1 week and 1 month. Gels with HA concentrations of 0.5%, 1%, and 0.54% were used in pulpotomy on 22 rats. Each rat underwent the procedure on four teeth, with one tooth serving as a control, totaling 88 teeth subjected to the intervention. In the analyses, SPSS 22.0 was used and the significance level was set at P = 0.05. Findings showed that HA at 0.5% maintained compressive strength, but higher concentrations decreased mechanical properties significantly (P = 0.001). Histological assessments indicated better outcomes with lower HA concentrations in terms of odontoblast layer continuity (P = 0.005 at 1 month) and pulp vitality (P = 0.001 at 1 week and P = 0.018 at 1 month). The study suggests HA holds promise for pulpotomy and regenerative endodontic treatments, but further research is needed to understand long-term clinical implications.
The potential of agroforestry to buffer climate change impacts on suitability of coffee and banana in Uganda
Authors: Abigaba David , Chemura Abel , Gornott Christoph , Schauberger Bernhard 
Published: July 2024

AbstractCoffee, an important global commodity, is threatened by climate change. Agroforestry has been considered as one option to maintain or enhance coffee production. In this study, we use a machine learning ensemble consisting of MaxEnt, Random Forest and Boosted Regression Trees to assess climate change impacts on the suitability to grow Arabica coffee, Robusta coffee and bananas in Uganda by 2050. Based on this, the buffering potential of Cordia africana and Ficus natalensis, the two commonly used shading trees in agroforestry systems is assessed. Our robust models (AUC of 0.7–0.9) indicate temperature-related variables as relevant for Arabica coffee suitability, while precipitation-related variables determine Robusta coffee and banana suitability. Under current climatic conditions, only a quarter of the total land area is suitable for growing Arabica coffee, while over three-quarters are suitable for Robusta coffee and bananas. Our results suggest that climate change will reduce the area suitable to grow Arabica coffee, Robusta coffee and bananas by 20%, 9% and 3.5%, respectively, under SSP3-RCP7.0 by 2050. A shift in areas suitable for Arabica coffee to highlands might occur, leading to potential encroachment on protected areas. In our model, implementing agroforestry with up to 50% shading could partially offset suitable area losses for Robusta coffee—but not for Arabica coffee. The potential to produce valuable Arabica coffee thus decreases under climate change and cannot be averted by agroforestry. We conclude that the implementation and design of agroforestry must be based on species, elevation, and regional climate projections to avoid maladaptation.
A non-anticipative learning-optimization framework for solving multi-stage stochastic programs
Authors: Yilmaz Dogacan , Büyüktahtakın İ. Esra 
Published: July 2024

AbstractWe present a non-anticipative learning- and scenario-based prediction-optimization (ScenPredOpt) framework that combines deep learning, heuristics, and mathematical solvers for solving combinatorial problems under uncertainty. Specifically, we transform neural machine translation frameworks to predict the optimal solutions of scenario-based multi-stage stochastic programs. The learning models are trained efficiently using the input and solution data of the multi-stage single-scenario deterministic problems. Then our ScenPredOpt framework creates a mapping from the inputs used in training into an output of predictions that are close to optimal solutions. We present a Non-anticipative Encoder-Decoder with Attention (NEDA) approach, which ensures the non-anticipativity property of multi-stage stochastic programs and, thus, time consistency by calibrating the learned information based on the problem’s scenario tree and adjusting the hidden states of the neural network. In our ScenPredOpt framework, the percent predicted variables used for the solution are iteratively reduced through a relaxation of the problem to eliminate infeasibility. Then, a linear relaxation-based heuristic is performed to further reduce the solution time. Finally, a mathematical solver is used to generate the complete solution. We present the results on two NP-Hard sequential optimization problems under uncertainty: stochastic multi-item capacitated lot-sizing and stochastic multistage multidimensional knapsack. The results show that the solution time can be reduced by a factor of 599 with an optimality gap of only 0.08%. We compare the results of the ScenPredOpt framework with cutting-edge exact and heuristic solution algorithms for the problems studied and find that our framework is more effective. Additionally, the computational results demonstrate that ScenPredOpt can solve instances with a larger number of items and scenarios than the trained ones. Our non-anticipative learning-optimization approach can be beneficial for stochastic programming problems involving binary variables that are solved repeatedly with various types of dimensions and similar decisions at each period.
Advanced computational model of rod ERG kinetics
Authors: Tyler Christopher W. 
Published: July 2024

Abstract
Purpose
The electroretinogram (ERG) is the summed response from all levels of the retinal processing of light, and exhibits several profound nonlinearities in the underlying processing pathways. Accurate computational models of the ERG are important, both for understanding the multifold processes of light transduction to ecologically useful signals by the retina, and for their diagnostic capabilities for the identification and characterization of retinal disease mechanisms. There are, however, very few computational models of the ERG waveform, and none that account for the full extent of its features over time.

Methods
This study takes the neuroanalytic approach to modeling the ERG waveform, defined as a computational model based on the main features of the transmitter kinetics of the retinal neurons.

Results
The present neuroanalytic model of the human rod ERG is elaborated from the same general principles as that of Hood and Birch (Vis Neurosci 8(2):107–126, 1992), but incorporates the more recent understanding of the early nonlinear stages of ERG generation by Robson and Frishman (Prog Retinal Eye Res 39:1–22, 2014). As a result, it provides a substantially better match than previous models of rod responses in six different waveform features of the ERG flash intensity series on which the Hood and Birch model was based.

Conclusion
The neuroanalytic approach extends previous models of the component waves of the ERG, and can be structured to provide an accurate characterization of the full timecourse of the ERG waveform. The approach thus holds promise for advancing the theoretical understanding of the retinal kinetics of the light response.
Monensin Suppresses Multiple Features of House Dust Mite-Induced Experimental Asthma in Mice
Authors: Allam Venkata Sita Rama Raju , Akula Srinivas , Waern Ida , Taha Sowsan , Wernersson Sara , Pejler Gunnar 
Published: July 2024

AbstractDespite intense efforts to develop efficient therapeutic regimes for asthma, there is a large demand for novel treatment strategies in this disease. Here we evaluated the impact of monensin, a drug with potent anti-mast cell effects, in a mouse model of asthma. Allergic airway inflammation was induced by sensitization of mice with house dust mite (HDM) antigen, and effects of monensin on airway hyperreactivity and inflammatory parameters were studied. Following intraperitoneal administration, monensin did not suppress airway hyperreactivity but was shown to have anti-inflammatory properties, as manifested by reduced eosinophil- and lymphocyte infiltration into the airway lumen, and by suppressed inflammation of the lung tissue. After intranasal instillation, monensin exhibited similar anti-inflammatory effects as seen after intraperitoneal administration. Moreover, intranasally administered monensin was demonstrated to suppress goblet cell hyperplasia, and to cause a reduction in the expression of genes coding for key inflammatory markers. Further, monensin blocked mast cell degranulation in the airways of allergen-sensitized mice. Together, this study reveals that monensin has the capacity to suppress key pathological events associated with allergic airway inflammation.
Universal Refugee Social Protection Guidelines: A Discussion into the Challenges to Their Successful Adoption
Authors: Masuku Sikanyiso 
Published: July 2024

AbstractThis paper discusses some of the impediments to the realization of refugee-specific conventions and the international bill of human rights content, i.e., the International Covenant on Civil and Political Rights; International Covenant on Economic, Social and Cultural Rights and the UDHR. The discrepancy highlights a broader failure in the diffusion of the global refugee regime and underscores the disparity between the intentions of global policy and its real-world impact. Challenges to global social policy diffusion (and the resultant implementation gaps in Africa) are examined through the use of secondary data on refugees in South Africa and the region. Also examined is the content of human rights conventions and their adoption. The challenges noted include (i) compulsory forms of power within the global governance system and constraints on the global refugee regime; (ii) protracted social conflict situations, funding gaps, geopolitical reordering and an ensuing lack of cohesion amongst stakeholders in the transference of global social policy and (iii) limitations in the content of refugee rights and a poor alignment of the said content at the national and local contexts.
Short-term POI recommendation with personalized time-weighted latent ranking
Authors: Zou Yufeng , Zhao Kaiqi 
Published: July 2024

AbstractIn this paper, we formulate a novel Point-of-interest (POI) recommendation task to recommend a set of new POIs for visit in a short period following recent check-ins, named short-term POI recommendation. It differs from previously studied tasks and poses new challenges, such as modeling high-order POI transitions in a short period. We present PTWLR, a personalized time-weighted latent ranking model that jointly learns short-term POI transitions and user preferences with our proposed temporal weighting scheme to capture the temporal context of transitions. We extend our model to accommodate the transition dependencies on multiple recent check-ins. In experiments on real-world datasets, our model consistently outperforms seven widely used methods by significant margins in various contexts, demonstrating its effectiveness on our task. Further analysis shows that all proposed components contribute to performance improvement.