bluuebunny/crossref_metadata_2025_split huggingface dataset:
Factors influencing the effectiveness of collective action for the sustainability of the local commons: Toward an integrated framework
Authors: Nguyen Dieu Linh , Hamasaki Hironori 
Published: March 2024

Abstract
The common-pool resources that are indispensable for our life is under unprecedented threat. Investigating the factors influencing the effectiveness of collective actions for sustainability of the local commons are both urgent and critical. However, up to now most of the key explanatory factors are limited to the ones initially advocated by Elinor Ostrom of which the individual level and psychological factors have weakly developed. This present research extends the knowledge in this area by advancing a new framework of explanatory factors of effective collective actions for the sustainability of the local commons integrating complementary insights from social, environmental and neural psychology with theory of collective actions of the commons. A qualitative methodology based on two stages of literature review was conducted. The study proposed an integrated framework consisting of three main factors of (1) initial conditions (biophysical conditions in needs of improving, financial capital, physical and social infrastructure); (2) institutional design (inclusion of environmentally relevant knowledge, deliberative collaboration process, collaborative social network, and social norms); and (3) psychological state (eco-centric and anthropocentric values, efficacy, memory of human-nature connection and positive emotions). It is revealed that psychological state in alignment with initial conditions and institutional design is the most consequential under-leveraged factor that explain the sustained effectiveness of collective actions. Conditions for the success of the framework are elaborated with illustration from a case study. Ultimately, the paper aims to enhance the impact of collaborative actions and empower the environmental stewards to conserve the local commons for human and planetary health.
The Microleaks study: 16S community profile and metagenomic shotgun sequencing signatures associated with anastomotic leak
Authors: Hoedt Emily C. , Carroll Georgia , Stephensen Bree , Togher Katie , Morrison Mark , Vishnoi Veral , Makanyengo Samwel , Draganic Brian , McManus Brendan , Clarke Louise , Shah Kalpesh , Smith Stephen R , Talley Nicholas J. , Keely Simon , Pockney Peter 
Published: March 2024

Abstract
Anastomotic leaks (AL) are the most severe complications of colorectal surgery. The cause of AL is unclear, but recent studies have implicated the intestinal microbiota in its development. We aimed to determine whether there is an identifiable microbial pattern in the mucosal microbiota associated with AL. A pragmatic series of 162 patients undergoing colorectal resection with anastomosis had swabs taken from the proximal and distal mucosa of the bowel resection immediately after the tissue was excised. DNA was extracted for 16S rRNA amplicon gene sequencing and a subset for metagenomic shotgun sequencing (MGS). The AL rate in the cohort was approximately 15% (25/162). The alpha diversity measures from the intraoperative swabs were all significantly increased for AL, and there were significant differences in the beta diversity measures for AL from both the 16S and MGS datasets. The predictive power of AL was more sensitive when both proximal and distal communities were considered, and the species-level classifier AUC-ROC was stronger for the MGS dataset than for the 16S data (AUC = 0.92 and 0.76, respectively). We also report, for the first time, the functional changes in intraoperative AL microbes and noted an increase in the relative abundance of pathways with fermentation end products. This result was also found in our murine model of anastomoses (n = 20). At the time of surgery, the mucosal microbiota of the anastomotic extremities exhibits subtle differences at the species level and altered fermentation capacity, which may be associated with AL outcomes. A greater understanding of these insights could improve AL prognosis and preoperative management to reduce the occurrence of this life-threatening condition.
Multiregional radiomics nomogram for postoperative recurrence risk stratification in localized clear cell renal cell carcinoma
Authors: Li Xiaoxia , Guo Yi , Wang Funan , Huang Shunfa , Zhou Jianjun , Dai Chenchen , Lin Dengqiang 
Published: March 2024

Abstract
Background
The selection of individualized treatment options based on the risk of recurrence is crucial in the adjuvant treatment of clear cell renal cell carcinoma(ccRCC). Multiregional radiomics might noninvasively obtain potential information about the intratumoral and peritumoral heterogeneity of ccRCC and reveal the prognostic information behind the images. This study aimed to develop a CT-based multiregional radiomics nomogram to improve the stratification of postoperative recurrence risk in patients with localized ccRCC.
Methods
A total of 395 patients with pathologically diagnosed ccRCC were included in the training (n = 281) and internal validation set (n = 114). Multiregion radiomics features from both the intratumoral and peritumoral areas were extracted. The selection of radiomics features and clinicopathological factors was performed using the least absolute shrinkage and selection operator (LASSO) Cox regression. A final model (FM) for the radiomics nomogram was developed, which incorporated the selected clinicopathological and radiomics features predictors based on multivariate Cox proportional hazard regression. The performance of the model was assessed using receiver operator characteristic (ROC) analysis.
Results
The radiomics nomogram demonstrated excellent prediction performance in both the training and validation sets. The discriminatory ability of the radiomics nomogram was superior to that of the clinical model (C-index 0.926 vs .0.898, P < 0.05). Decision curve analysis revealed that the nomogram had more net benefit than the clinical model.
Conclusions
The use of a radiomic nomogram with multiregion features improved the stratification of postoperative recurrence risk in patients with localized ccRCC and can be considered a valuable tool in clinical decision-making.
Community detection and Higher-order Link Prediction
Authors: Losic Jelena 
Published: March 2024

Abstract
Community detection algorithms utilize graphs as input data, representing networks that are often incomplete. Many networks, whether obtained through collection or inference, suffer from missing edges, either inherent to the dataset or due to sampling limitations. Networks evolve over time, and it is imperative to predict future links. An excellent example is the spread of epidemics, where such predictive knowledge could potentially save lives. The standard approach involves examining the dyadic nature of links, as it is the perspective offered by graph frameworks, and attempting to anticipate future edges. However, being part of a large system entails multiple interactions that the link paradigm does not clearly elucidate. The idea presented in this paper is to employ higher-order link prediction to achieve robust results regarding the community detection problem.
Finally, we evaluate our method on a series of ground truth networks and artificial networks. Examples from the LFR framework demonstrate that our method improves the community detection problem on incomplete networks.
Risk factors for recurrent febrile urinary tract infection in patients with duplex collecting system
Authors: Wang Jinbin , Yang Binyi , Yu Jiabin , Yang Li , Tang Jiaxiang , Liu Qi , Sun Nianfeng , Cui Kaiyue , Gao Qiang , Zhao Zhifei , Luo Yanbing , Zhao Yining , Geng Hongquan , Chen Zhoutong , Fang Xiaoliang , Lu Hongting 
Published: March 2024

Abstract
Purpose
Our goal was to establish the risk factors for recurrent febrile urinary tract infection (F-UTI) in children with duplex collecting system (DCS).
Methods
Patients seen for DCS from 2010 to 2020 were retrospectively followed. Those with using continuous low dose antibiotic prophylaxis (CAP) and incompletely duplicated systems were removed from the study. The primary endpoint of this study was recurrent F-UTI. We conducted univariate analysis of 5 risk factors, namely, gender, affected side (unilateral vs bilateral), hydronephrosis grade of the affected renal unit, ureteral dilatation (UD) grade, type of anatomy.
Results
We analyzed medical reports of 305 patients, of which 74.8% were female. Among the 305 patients, F-UTI developed in in81/119 (68.1%) patients with ureterocele, in 7/9 (77.8%) patients with VUR, in27/36 (75%) patients with both ureterocele and VUR, in8/12 (66.7%) patients with ectopic and VUR, and in 49/105 (46.7%) patients with ectopic. Univariate analysis found discernible difference in type of DCS, ureteral dilatation and grade of hydronephrosis between recurrent F-UTI and non F-UTI patients. Moreover, Cox proportional regression analysis revealed that type of DCS, grade of hydronephrosis were stand-alone risk factors for recurrent F-UTI.
Conclusion
High hydronephrosis grade and the presence of ureterocele, VUR were stand-alone risk factors for recurrent F-UTI in children with DCS.
Changing patterns of multimorbidity among patients with ambiguous diagnoses: The case of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome
Authors: Bragée Björn , Carlsson Lennart , Sjögren Per , Bertilson Bo C 
Published: March 2024

Abstract
Introduction:
Increased attention has been given to multimorbidity. This phenomenon often has been explored through associations between diseases based on the frequency of combinations of diagnoses. A more patient-focused strategy, together with a trajectory of the multimorbidity situation, has recently attracted increased interest. Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a state that per se includes multimorbidity and is preceded by numerous ambiguous diagnoses. A history of infectious disease is considered the most common denominator and pathophysiological base of ME/CFS, even though no biomarker of such infection has been found. Exploring changing patterns of multimorbidity might contribute to the knowledge about the unknown pathophysiology of this disease.
Methods and materials:
This was a retrospective register-based cohort study of 549 patients from 2015–2020 in Region Stockholm, Sweden. We processed the number and type of diagnoses during each year according to the Adjusted Clinical Groups© case-mix system from Johns Hopkins University. The images were visualized with Excel and “Gapminder” software.
Results
Fifty percent of all patients had more than eight diagnoses—up to 32 diagnoses per year—during the last twelve months of the study period. The most frequent diagnosis clusters were “General Signs and Symptoms”, “Musculoskeletal”, “Psychosocial” and “Neurologic”. The cluster “Infections” was found as number fifteen in order. The number of patients with psychiatric or psychosomatic disorders was lower after the registration of ME/CFS diagnoses.
Discussion and conclusion:
This study illustrates the complexity of the pattern of multimorbidity over time, depicting overlapping diagnoses. Analyses of trajectories of different patterns of multimorbidity might pave the way for a broader understanding of triggers for more complex health conditions, as seen in the case of ME/CFS. The traditional view that ME/CFS is the result of an infectious disease was not confirmed in our cohort. The drive toward patient-oriented analyses may lead to findings of subcategories of patients with similar patterns of multimorbidity over time.
[99mTc]Tc-pyrophosphate (PYP) Scintigraphy Findings of Cardiac Amyloidosis: is It a Predictor for Survival?
Authors: Akgun Elife , Aksu Umit , Guler Arda , Guler Gamze Babur , Akkas Burcu Esen 
Published: March 2024

Abstract
Background
Association [99mTc]Tc-pyrophosphate (PYP) uptake with survival of cardiac amyloidosis (CA) is still unkown. This study aimed to describe the scintigraphic findings of CA suspected cases and determine the prognostic value of scintigraphy.
Methods
Between September 2020-December 2023, all [99mTc]Tc-PYP scintigraphy images of CA suspected cases were evaluated retrospectively. The scintigraphy images were obtained 1h and 3h after intravenous injection of 740 MBq [99mTc]Tc-PYP. The quantitative and semiquantitative results of scintigraphy were analyzed, and their correlation with clinical outcomes was explored.
Results
Among the 268 cases (147 female, 121 male; median age:65), 12 (4.5%) were diagnosed with ATTR CA, 19 (7.1%) with AL CA. The median follow-up time was 386 days. ATTR CA cases exhibited significantly higher [99mTc]Tc-PYP uptake than AL CA and non-CA cases. The 1h and 3h heart-to-contralateral lung ratios were positively high degree correlated each other and SPECT/CT imaging reduced equivocal results from 82–37%. Eight of 19 patients with AL CA, one of 12 with ATTR CA, and 15 of non-CA cases died on follow-up. Median survival was 22 days in ATTR CA, 201 days in AL CA, and 105 days in non-CA ex cases. Survival analysis indicated significantly lower survival in non-CA cases compared to ATTR CA and AL CA.
Conclusion
[99mTc]Tc-PYP scintigraphy demonstrated varying uptake patterns in different CA forms. The study emphasizes the importance of combining scintigraphic findings with laboratory tests for accurate CA diagnosis and highlights the poor survival of individuals investigated for CA, even if the diagnosis is not confirmed.
Evaluation of the Effect of Chrysophylum albidum seed aqueous extract on Pancreas and Kidney of Hyperglycemic Wistar rats
Authors: OLANIYI Oluwafemi Samuel , JOSEPH Oluwagbenga Oluwasemilore , Wasiu Olalekan 
Published: March 2024

Abstract

Diabetes mellitus (DM) is a metabolic condition that resulted from an imbalance in insulin production or function. Nonetheless, research has proved traditionally that medicinal plants with antidiabetic activities may provide valuable information for the development of safer and more potent oral hypoglycemic medications. The study therefore investigated the effects of aqueous extract of Chrysophyllum albidum seed on the pancreas and kidney of hyperglycemic Wistar rats. Forty male Wistar rats weighing between 90g-150g were divided into four groups (n = 10). Group 1 (control) received 2 ml of distilled water; Group 2 and 3 (diabetic) injected intraperitoneally with a single dose of 50 mg/kg of streptozotocin (STZ) after 12hrs fasting period. Group 3 (diabetic treated) treated with 750 mg/kg aqueos extract of Chrysophyllum albidum seed, Group 4 (normoglycemic) treated with 750 mg/Kg of the extract. The tissue samples were stained with hematoxylin and eosin (H & E) routine staining, Gomori and Masson trichome special staining to demonstrate the histoarchitecture of the tissue samples. The results showed a significance reduction (p < 0.05) in the body weight of the animals in group 2 compare to control group and diabetic treated. The FBS of the animals in group 2 increased significantly (p < 0.05) compare with control and was significantly reduced (p < 0.05) in group 3 (diabetic-treated) compare with control and group 4 (extract group). Histologically, studies of the pancreas in Group 1 and 4 showed normal morphology compare with Group 2 (diabetic) which revealed inflammation of the acini, disorganization of the pancreatic architecture, fibrotic and degenerative changes of Islet of Langerhans cells, while Group 3 reveals improvement in the pancreatic tissue histo-architecture, similarly, renal tissue in group 2 shows distort and degenerated cells while improved histological architecture of renal tissue in group 3 (diabetic treated) was indicated. The relative pancreatic weights were significantly reduced in group 2 (diabetic) compare with control and group 3 (diabetic treated). The study concluded that Chrysophylum albidum seed has anti-diabetic properties with significant reduction in blood glucose level in the hyperglycemic Wistar rats. Further studies of the mechanism involved and screening of bioactive components of the extracts are recommended.
A Novel Joint Dictionary Learning Method for Image Classification
Authors: Li Mingjun , Zhang Yongjun , Zhang Xuexue , Zhao Yong , Wang Bingshu , Cui Zhongwei 
Published: March 2024

Abstract
Image classification is an essential component in the modern computer vision field, in which dictionary learning-based classification has garnered significant attention due to its robustness. Generally, most dictionary learning algorithms can be optimized through data augmentation and regularization techniques. In terms of data augmentation, researchers often focus on how to enhance the features of specific class samples while neglecting the impact of intra-class correlations. When intra-class correlation of images is high, distinguishing between different categories can become challenging, especially when there are small differences between categories. To tackle this concern, the paper advocates a novel data augmentation approach that enhances intra-class differences. The proposed method reduces excessive similarity within class samples by randomly replacing pixel values, thereby improving classification performance. Building on this, we designed a joint dictionary learning algorithm that embeds label consistency and local consistency by combining auxiliary samples generated by the data augmentation method with original samples to create a dictionary. The basic steps of the proposed algorithm are as follows:(1) Generate specific auxiliary samples as training samples; (2) Initialize the dictionary and expression coefficients; (3) Introduce label constraints and local constraints and update the dictionary; (4) Generate a classifier and classify the test samples. Extensive experiments have demonstrated the efficiency of the proposed approach. We will provide the code and datasets on https://github.com/mjLi0403/Joint-Dictionary-Learning-Algorithm-with-Novel-Data-Enhancement-Scheme.git.
Enhancing the UV Radiation Protection of Bacillus thuringiensis Formulation using Sulfur Quantum Dots: A Biotechnological Approach
Authors: Jalali Elham , Maghsoudi Shahab 
Published: March 2024

Abstract
Low stability against ultraviolet (UV) radiation is one of the drawbacks of biological pesticides such as Bacillus thuringiensis (Bt). The persistence of Bt crystals against insect pests is thus deactivated. Bt plays a key role in the control of microbial pests. In this study, Bt spores and crystals were protected from UV radiation by sulfur quantum dots (SQDs). These were synthesized by treating sublimated sulfur powders with an alkali using polyethylene glycol 400 (PEG-400). Their effect on the formulation of Bt was investigated to improve its resistance to UV radiation. Excellent aqueous dispersibility and superior photostability were observed for the synthesized SQDs. Properly dispersed SQDs with mean size distributions of 3.27 nm and 6.07 nm were obtained for 120 and 72 h, respectively. The findings indicate that SQDs perform very well in encapsulated formulations prepared by the Pickering emulsion method compared to non-encapsulated formulations. Spore viability and mortality of second-instar Ephestia kuehniella larvae under UV-A radiation were studied. The unique properties of SQDs are believed to reduce the degradation of Bt against UV radiation. Our results showed that these SQDs can be used to improve the stability and resistance of Bt in SQD-stabilized microcapsule formulations.
Differential dopamine-mediated effects in the 5-lipoxygenase deficient mice
Authors: Issy Ana Carolina , Pedrazzi João Francisco , Nascimento Glauce Crivelaro , Faccioli Lúcia Helena , Bel Elaine Del 
Published: March 2024

Abstract

The role of 5-lipoxygenase/leukotrienes on the central nervous system has been considered in both physiological end pathological states. Investigating the interaction between 5-lipoxygenase/leukotrienes and the dopaminergic system may provide better understanding of dopamine-related pathologies. This study aimed to investigate motor and non-motor dopamine-related responses in 5-lipoxygenase/leukotrienes-deficient mice. Pharmacological challenges of the dopaminergic system included amphetamine, apomorphine and reserpine treatment along with their respective effects on prepulse inhibition (PPI) response, general motor activity, and oral involuntary movements. Reserpine-treated mice were also investigated for their striatal glial markers’ expression (GFAP and Iba-1). 5-lipoxygenase/leukotrienes-deficient mice exhibited increased spontaneous locomotor activity, including horizontal and vertical exploratory activity, and stereotyped-like behavior compared to wild-type mice. This condition was attenuated by acute apomorphine treatment. Despite the absence of altered basal responses in the PPI there was a significant and selective decreased in susceptibility in amphetamine-induced PPI disruption in 5-lipoxygenase/leukotrienes-deficient mice. However, there was an increased vulnerability to reserpine-induced involuntary movements. There was no alteration in the basal expression of striatal GFAP and Iba-1 positive cells in 5-lipoxygenase/leukotrienes-deficient mice compared to wild-type mice. Reserpine treatment induced a significant increase in GFAP immunoreactivity in wild-type mice but this effect was absent in the 5-lipoxygenase deficient mice. The percentage of activated microglia was found to be significantly increased in reserpine-treated wild-type mice. This effect was absent in the 5-lipoxygenase/leukotrienes-deficient mice. Our results support the conception of a unique dopaminergic pathway phenotype in 5-lipoxygenase/leukotrienes-deficient mice. These findings suggest that leukotrienes may interfere with the orchestration of dopamine-mediated responses.
Digital resources integration driven by curriculum and teachers’ documentational trajectories
Authors: Salinas-Hernández Ulises , Sacristán Ana Isabel 
Published: March 2024

Abstract

This paper analyses the relationship between an educational model for the integration of digital resources in mathematics classrooms and a teacher’s professional career path. By educational model we mean the institutional precepts, that is to say, the set of established norms that guide the teaching processes, considering both pedagogical and educational approaches that in turn establish a pattern in the development of a curriculum. It presents a case study of an experienced teacher who has developed his teaching activity in a single educational model for more than forty years. From three semi-structured interviews and the non-participatory observation of one of his classes, we trace the process that this teacher has followed to integrate, in his classes, different digital resources, guided both by curricular precepts, as well as by his professional teaching experience. In particular, the data analysis considers the impact produced by the 2020 Covid-19 pandemic and shows how such significant events are confronted both by the teacher and the institution, affecting the integration of digital resources and altering the trajectories of both of them.