bluuebunny/crossref_metadata_2025_split huggingface dataset:
Food addiction, orthorexia nervosa and dietary diversity among Bangladeshi university students: a large online survey during the COVID-19 pandemic
Authors: Sultana Mst. Sadia , Islam Md. Saiful , Sayeed Abu , Koly Kamrun Nahar , Baker Katya , Hossain Rakib , Ahmed Sanjida , Ferdous Most. Zannatul , Mubarak Mahfuza , Potenza Marc N. , Sikder Md Tajuddin 
Published: November 2022

Abstract
Purpose
Maladaptive eating behaviors like food addiction (FA) are common among students, and orthorexia nervosa (ON) is being evaluated as a new condition among eating disorders (EDs). Moreover, dietary diversity (DD) is recognized as an important component of a healthy diet. Thus, the current study sought to examine the prevalence of ON and FA as well as the factors associated with ON, FA, and DD among university students in Bangladesh during the COVID-19 pandemic.

Methods
Four-thousand-and-seventy-six students were recruited and completed an online survey consisting of the Bratman Orthorexia test, the modified Yale Food Addiction Scale, and a questionnaire based on the Food and Agriculture Organizations’ guidelines. Inferential statistics, bivariate and multivariable linear regression were used for analyzing data.

Results
ON and FA were observed in 1.7% and 7.5% of participants, respectively, with 43.8% exhibiting Health Fanatic eating attitude. The mean DD score was 5.96 (SD = 1.56). Students with ON consumed more legumes, nuts, seeds, and vegetables including dark green leafy vegetables whereas students with FA consumed more organ meats and eggs. Students who were older-aged, married, formerly smoked, had fitness goals, and had guilty feelings about violating food rules were more likely to have ON, whereas those who were female, were married, actively smoked, and were overweight and obese were more likely to have FA.

Conclusions
The findings suggest that students from Bangladesh are at risk of FA, and less so for ON. These entities and low DD deserve more research attention in Bangladesh to increase awareness and ensure appropriate interventions.
Co-occurrence, stability and manifestation of child and adolescent mental health problems: a latent transition analysis
Authors: Göbel Kristin , Ortelbach Niklas , Cohrdes Caroline , Baumgarten Franz , Meyrose Ann-Katrin , Ravens-Sieberer Ulrike , Scheithauer Herbert 
Published: November 2022

Abstract
Background
Complex constellations of socio-emotional and behavioural problems (i.e., mental health problems) in childhood and adolescence are common and heighten the risk for subsequent personality, anxiety and mood disorders in adulthood. Aims of this study included the examination of patterns of mental health problems (e.g., externalizing-internalizing co-occurrence) and their transitions to reported mental disorders by using a longitudinal person-centered approach (latent class and latent transition analysis).

Methods
The sample consisted of 1255 children and adolescents (51.7% female, mean age = 12.3 years, age range 8–26 years) from three time points of the comprehensive mental health and wellbeing BELLA study. Children and their parents completed the German SDQ (Strength and Difficulties Questionnaire, Goodman, 1997) and reported on diagnoses of ADHD, depression, and anxiety.

Results
Latent class analysis identified a normative class, an emotional problem class, and a multiple problem class. According to latent transition analysis, the majority of the sample (91.6%) did not change latent class membership over time; 14.7% of individuals showed a persistent pattern of mental health problems. Diagnoses of mental disorders were more likely to be reported by individuals in the emotional problem or multiple problem class.

Conclusions
Results highlight the need for early prevention of mental health problems to avoid accumulation and manifestation in the transition to adolescence and young adulthood.
Prognostic and predictive biomarkers for response to neoadjuvant chemoradiation in esophageal adenocarcinoma
Authors: Matani Hirsch , Sahu Divya , Paskewicz Michael , Gorbunova Anastasia , Omstead Ashten N. , Wegner Rodney , Finley Gene G. , Jobe Blair A. , Kelly Ronan J. , Zaidi Ali H. , Goel Ajay 
Published: November 2022

Abstract
Background
Esophageal adenocarcinoma is a lethal disease. For locally advanced patients, neoadjuvant chemoradiotherapy followed by surgery is the standard of care. Risk stratification relies heavily on clinicopathologic features, particularly pathologic response, which is inadequate, therefore establishing the need for new and reliable biomarkers for risk stratification.

Methods
Thirty four patients with locally advanced esophageal adenocarcinoma were analyzed, of which 21 received a CROSS regimen with carboplatin, paclitaxel, and radiation. Capture-based targeted sequencing was performed on the paired baseline and post-treatment samples. Differentially mutated gene analysis between responders and non-responders of treatment was performed to determine predictors of response. A univariate Cox proportional hazard regression was used to examine associations between gene mutation status and overall survival.

Results
A 3-gene signature, based on mutations in EPHA5, BCL6, and ERBB2, was identified that robustly predicts response to the CROSS regimen. For this model, sensitivity was 84.6% and specificity was 100%. Independently, a 9 gene signature was created using APC, MAP3K6, ETS1, CSF3R, PDGFRB, GATA2, ARID1A, PML, and FGF6, which significantly stratifies patients into risk categories, prognosticating for improved relapse-free (p = 4.73E-03) and overall survival (p = 3.325E-06). The sensitivity for this model was 73.33% and the specificity was 94.74%.

Conclusion
We have identified a 3-gene signature (EPHA5, BCL6, and ERBB2) that is predictive of response to neoadjuvant chemoradiotherapy and a separate prognostic 9-gene classifier that predicts survival outcomes. These panels provide significant potential for personalized management of locally advanced esophageal cancer.
Factors modulating home range and resource use: a case study with Canarian houbara bustards
Authors: Abril-Colón Inmaculada , Alonso Juan Carlos , Palacín Carlos , Ucero Alberto , Álvarez-Martínez José Manuel 
Published: November 2022

AbstractBackgroundThe home range of an animal is determined by its ecological requirements, and these may vary depending on many intrinsic and extrinsic factors, which are ultimately driven by food resources. Investigating the effects of these factors, and specifically how individuals use food resources within their home ranges is essential to understand the ecology and dynamics of animal populations, and to establish conservation measures in the case of endangered species. Here, we investigate these questions in the Canarian houbara bustard, an endangered subspecies of African houbara endemic to the Canary Islands.MethodsWe analysed GPS locations of 43 houbaras in 2018–2021, using solar GSM/GPRS loggers provided with accelerometers. We assessed (1) the variation in their home range and core area with kernel density estimators in relation to several intrinsic and extrinsic factors and (2) their foraging habitat selection.ResultsHome ranges were smallest during the breeding season (November–April), when rains triggered a rapid growth of herbaceous vegetation. Displaying males and nesting females had smaller home ranges than individuals not involved in reproduction. Both sexes used almost exclusively non-cultivated land, selecting low densityLaunaea arborescensshrublands, pastures and green fallows as foraging habitats. Heavier males used smaller home ranges because they spent more time displaying at a fixed display site, while heavier females moved over larger areas during the mating period, probably visiting more candidate mates. During the non-breeding season (May–October), both sexes showed larger home ranges, shifting to high density shrubland, but also partly to cultivated land. They selected sweet potato fields, green fallows, alfalfas, orchards and irrigated fields, which offered highly valuable food resources during the driest months of the year.ConclusionsOur study shows how Canarian houbara, originally a desert-dwelling species that uses mostly shrublands and pastures, has developed the necessary adaptations to benefit from resources provided by current low intensity farming practices in the study area. Maintaining appropriate habitat conditions in the eastern Canary islands should constitute a key conservation measure to prevent the extinction of this endangered houbara subspecies.
Ubiquitin-positive astrogliopathy clinically mimicking Parkinson’s disease
Authors: Morris Meaghan , Moghekar Abhay , Guo Haidan , Pletnikova Olga , Redding-Ochoa Javier , Albert Marilyn , Resnick Susan M. , Chen Liam 
Published: November 2022

AbstractSeveral neurodegenerative pathologies can clinically mimic Parkinson’s disease, including neurodegenerative diseases with glial pathology. However, the glial aggregates are typically composed of known pathogenic proteins and are associated with prominent neuronal loss in the substantia nigra. Here we present an unusual case of a 91-year-old man with a clinical diagnosis of Parkinson’s disease, but whose autopsy findings showed a ubiquitin-positive astrogliopathy without significant neuronal loss in the substantia nigra. These glial aggregates affected the basal ganglia, cortex, and cerebellum, and were negative for tau, alpha-synuclein, TDP-43, FUS, and p62. This case is a rare example of an unknown glial neurodegenerative pathology mimicking Parkinson’s disease without significant loss of nigral dopaminergic neurons.
Increased unsaturated lipids underlie lipid peroxidation in synucleinopathy brain
Authors: Fu YuHong , He Ying , Phan Katherine , Bhatia Surabhi , Pickford Russell , Wu Ping , Dzamko Nicolas , Halliday Glenda M. , Kim Woojin Scott 
Published: November 2022

AbstractLipid peroxidation is a process of oxidative degradation of cellular lipids that is increasingly recognized as an important factor in the pathogenesis of neurodegenerative diseases. We were therefore interested in the manifestation of lipid peroxidation in synucleinopathies, a group of neurodegenerative diseases characterized by the central pathology of α-synuclein aggregates, including Parkinson’s disease, multiple system atrophy, dementia with Lewy bodies and Alzheimer’s disease with Lewy bodies. We assessed lipid peroxidation products, lipid aldehydes, in the amygdala, a common disease-affected region in synucleinopathies, and in the visual cortex, a disease-unaffected region. We found that the levels of lipid aldehydes were significantly increased in the amygdala, but not in the visual cortex. We hypothesized that these increases are due to increases in the abundance of unsaturated lipids, since lipid aldehydes are formed from unsaturated lipids. We undertook a comprehensive analysis of membrane lipids using liquid chromatography-mass spectrometry and found that unsaturated phosphatidylcholine, phosphatidylethanolamine, phosphatidylserine and sphingomyelin were specifically elevated in the amygdala and correlated with increases in lipid aldehydes. Furthermore, unsaturated phosphatidylethanolamine levels were associated with soluble α-synuclein. Put together, these results suggest that manifestation of lipid peroxidation is prevalent in synucleinopathies and is likely to be due to increases in unsaturated membrane lipids. Our findings underscore the importance of lipid peroxidation in α-synuclein pathology and in membrane structure maintenance.
The hippocampal sparing subtype of Alzheimer’s disease assessed in neuropathology and in vivo tau positron emission tomography: a systematic review
Authors: Ferreira Daniel , Mohanty Rosaleena , Murray Melissa E. , Nordberg Agneta , Kantarci Kejal , Westman Eric 
Published: November 2022

AbstractNeuropathology and neuroimaging studies have identified several subtypes of Alzheimer’s disease (AD): hippocampal sparing AD, typical AD, and limbic predominant AD. An unresolved question is whether hippocampal sparing AD cases can present with neurofibrillary tangles (NFT) in association cortices while completely sparing the hippocampus. To address that question, we conducted a systematic review and performed original analyses on tau positron emission tomography (PET) data. We searched EMBASE, PubMed, and Web of Science databases until October 2022. We also implemented several methods for AD subtyping on tau PET to identify hippocampal sparing AD cases. Our findings show that seven out of the eight reviewed neuropathologic studies included cases at Braak stages IV or higher and therefore, could not identify hippocampal sparing cases with NFT completely sparing the hippocampus. In contrast, tau PET did identify AD participants with tracer retention in the association cortex while completely sparing the hippocampus. We conclude that tau PET can identify hippocampal sparing AD cases with NFT completely sparing the hippocampus. Based on the accumulating data, we suggest two possible pathways of tau spread: (1) a canonical pathway with early involvement of transentorhinal cortex and subsequent involvement of limbic regions and association cortices, and (2) a less common pathway that affects association cortices with limbic involvement observed at end stages of the disease or not at all.
Different biomechanical effects of clear aligners in bimaxillary space closure under two strong anchorages: finite element analysis
Authors: Liu Jun-qi , Zhu Guan-yin , Wang Yi-gan , Zhang Bo , Wang Shuang-cheng , Yao Ke , Zhao Zhi-he 
Published: November 2022

Abstract
Background
Clear aligner (CA) treatment has been gaining popularity, but the biomechanical effects of CAs in bimaxillary dentition have not been thoroughly investigated. Direct and indirect strong anchorages are two common anchorage control methods, but the underlying biomechanical mechanism has not yet been elucidated. This study aimed to investigate the different biomechanical effects of CAs in closing the bimaxillary space under different anchorage controls, further instructing the compensation strategies design and strong anchorage choice in clinical practice.

Methods
Three-dimensional (3D) bimaxillary models of different anchorage controls were created based on cone-beam computed tomography and intraoral scan data. Four first premolars were extracted using 3D modeling software. Finite element analysis was conducted to simulate the space closure process of the CAs.

Results
In the two strong anchorage groups, the bimaxillary dentition presented different movement patterns during the space closure process, and the lower dentition was more vulnerable to elastic force. From the vertical view, direct strong anchorage with elastic force had the advantage of flattening the longitudinal occlusal curve and resisting the roller-coaster effects, whereas indirect strong anchorage could lead to a deep longitudinal occlusal curve. From the sagittal view, indirect strong anchorage with metallic ligaments had a greater instantaneous anchorage protection effect, particularly in the lower dentition, which reduced the mesial movement of the posterior teeth by nearly four times that of the direct anchorage group. In addition, indirect strong anchorage presented better anterior teeth torque/tipping control, while direct strong anchorage could aggravate lingual tipping of the upper central incisors. Due to the differences in anterior–posterior anchorage and arch shape, compared with the upper dentition, anchorage preservation and vertical control effects were amplified in the lower dentition.

Conclusions
The biomechanical effects of CAs differed between the two strong anchorage groups. Due to the differences in dentition morphology, anterior–posterior anchorage, and dental arch shape, CAs present different biomechanical effects in bimaxillary space closure. Orthodontists should consider the corresponding mechanical compensation according to specific anchorage control methods and dentitions.
Privacy preserved incremental record linkage
Authors: Khan Shahidul Islam , Khan Abir Bin Ayub , Hoque Abu Sayed Md Latiful 
Published: November 2022

AbstractUsing an incremental approach to solve the record linkage problem is a relatively new research area. In incremental record linkage, every inserted record is compared with some existing clusters of records based on its blocking key value. Then, considering similarity, either the record will be put into an existing cluster, or a new cluster will be created for it. Although few papers have presented their solutions for incremental record linkage targeting the linkage quality or efficiency, privacy issue regarding the approach has not yet been discussed. Privacy is a major concern when record linkage is performed for sensitive data, e.g., health records, financial records, etc. In this regard, we have come up with a novel concept privacy-preserving incremental record linkage (PPiRL) which encapsulates privacy-preserving techniques with an incremental record linkage approach. In this chapter, we have proposed an end-to-end framework as our solution for PPiRL. For preserving privacy, we have used two types of privacy techniques namely phonetic encoding and generalization. We have used a recently developed phonetic algorithm “nameGist” to handle text-based features. For generalization, we have used the K-anonymization algorithm for numeric and categorical features. For handling incremental updates and internal linkage, we have used the Naive incremental clustering approach using Hierarchical Agglomerative clustering as the base clustering algorithm. We have performed various experiments to test the privacy and linkage quality of PPiRL. We have compared our work with the existing incremental record linkage framework and also with existing privacy-preserved record linkage techniques. It is apparent from our results that other than a small trade-off in linkage quality, our framework works better as a combined package of privacy and linkage solutions that any existing frameworks do not yet provide.
Two-stage credit scoring using Bayesian approach
Authors: Kyeong Sunghyon , Shin Jinho 
Published: November 2022

AbstractCommercial banks are required to explain the credit evaluation results to their customers. Therefore, banks attempt to improve the performance of their credit scoring models while ensuring the interpretability of the results. However, there is a tradeoff between the logistic regression model and machine learning-based techniques regarding interpretability and model performance because machine learning-based models are a black box. To deal with the tradeoff, in this study, we present a two-stage logistic regression method based on the Bayesian approach. In the first stage, we generate the derivative variables by linearly combining the original features with their explanatory powers based on the Bayesian inference. The second stage involves developing a credit scoring model through logistic regression using these derivative variables. Through this process, the explanatory power of a large number of original features can be utilized for default prediction, and the use of logistic regression maintains the model's interpretability. In the empirical analysis, the independent sample t-test reveals that our proposed approach significantly improves the model’s performance compared to that based on the conventional single-stage approach, i.e., the baseline model. The Kolmogorov–Smirnov statistics show a 3.42 percentage points (%p) increase, and the area under the receiver operating characteristic shows a 2.61%p increase. Given that our two-stage modeling approach has the advantages of interpretability and enhanced performance of the credit scoring model, our proposed method is essential for those in charge of banking who must explain credit evaluation results and find ways to improve the performance of credit scoring models.
Reduced graphene oxide-based nanometal-composite containing copper and silver nanoparticles protect tomato and pepper against Xanthomonas euvesicatoria infection
Authors: Bytešníková Zuzana , Pečenka Jakub , Tekielska Dorota , Kiss Tomáš , Švec Pavel , Ridošková Andrea , Bezdička Petr , Pekárková Jana , Eichmeier Aleš , Pokluda Robert , Adam Vojtěch , Richtera Lukáš 
Published: November 2022

AbstractXanthomonas euvesicatoria (Xe) is of the genera Xanthomonas, which causes a bacterial spot disease that affects tomato and pepper plants, resulting in significant economic losses. Commonly used bactericides lead to pathogen resistance, environmental contamination and a current risk to human health. Herein, a nanocomposite consisting of Cu and Ag loaded onto reduced graphene oxide (rGO) was synthesized, characterized and tested. After confirmation of the antibacterial properties in vitro, nanocomposites at concentrations of 50 and 500 µg mL−1 were applied to protect tomato and pepper plants under controlled greenhouse conditions. The tomato and pepper plants indicated significantly lower disease severity when treated with the nanocomposite (15.6 and 16.7%, respectively) than when treated with the commercial copper-based bactericide Kocide® 2000. The nanocomposite was demonstrated as a high-efficiency biocide and has the potential for crop disease management with no phytotoxic effect.
Graphical Abstract