bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fostering idealogical and polical education via knowledge graph and KNN model: an emphasis on positive psychology
Authors: Chen Shuangquan , Ma Yu , Lian Wanting 
Published: March 2024

AbstractAs the primary domain of ideological and political education in higher education institutions, ideological and political courses must align with principles rooted in human psychology and education. Integrating educational psychology into ideological and political teaching in universities enhances the scientific, targeted, and forward-thinking nature of such education. The burgeoning exploration of knowledge graph applications has extended to machine translation, semantic search, and intelligent question answering. Diverging from traditional text matching, the knowledge spectrum graph transforms information acquisition in search engines. This paper pioneers a predictive system for delineating the relationship between educational psychology and ideological and political education in universities. Initially, it extracts diverse psychological mapping relationships of students, constructing a knowledge graph. By employing the KNN algorithm, the system analyzes psychological characteristics to effectively forecast the relationship between educational psychology and ideological and political education in universities. The system's functionality is meticulously detailed in this paper, and its performance is rigorously tested. The results demonstrate high accuracy, recall rates, and F1 values. The F1 score can reach 0.95enabling precise sample classification. The apex of the average curve for system response time peaks at approximately 2.5 s, maintaining an average response time of less than 3 s. This aligns seamlessly with the demands of practical online teaching requirements. The system adeptly forecasts the relationship between educational psychology and ideological and political education in universities, meeting response time requirements and thereby fostering the scientific and predictive nature of ideological and political teaching in higher education institutions.
Exploring the interplay between small and large scales movements in a neotropical small mammal
Authors: Brigatti E. , Ríos-Uzeda B. , Vieira M. V. 
Published: March 2024

AbstractWe record and analyze the movement patterns of the marsupial Didelphis aurita at different temporal scales. Animals trajectories are collected at a daily scale by using spool-and-line techniques and, with the help of radio-tracking devices, animals traveled distances are estimated at intervals of weeks. Small-scale movements are well described by truncated Lévy flight, while large-scale movements produce a distribution of distances which is compatible with a Brownian motion. A model of the movement behavior of these animals, based on a truncated Lévy flight calibrated on the small scale data, converges towards a Brownian behavior after a short time interval of the order of 1 week. These results show that whether Lévy flight or Brownian motion behaviors apply, will depend on the scale of aggregation of the animals paths. In this specific case, as the effect of the rude truncation present in the daily data generates a fast convergence towards Brownian behaviors, Lévy flights become of scarce interest for describing the local dispersion properties of these animals, which result well approximated by a normal diffusion process and not a fast, anomalous one. Interestingly, we are able to describe two movement phases as the consequence of a statistical effect generated by aggregation, without the necessity of introducing ecological constraints or mechanisms operating at different spatio-temporal scales. This result is of general interest, as it can be a key element for describing movement phenomenology at distinct spatio-temporal scales across different taxa and in a variety of systems.
Determining the destination: a co-designed chronic advanced cancer rehabilitation conceptual framework for engagement of individuals with lived experience in rehabilitation research
Authors: Dolgoy Naomi , Bernard Stephanie , Huang Fleur , Driga Amy , Hall-Lavoie Debra , Brown Adam , Pituskin Edith , Fairchild Alysa , McNeely Margaret L. 
Published: March 2024

Abstract
Background
Individuals living with chronic advanced cancer (CAC) often face distinct physical, functional, and cognitive issues. Their rehabilitation needs are not yet routinely met, warranting further CAC-specific rehabilitation-based research. Given the complexity of functional and symptom presentations, engagement of individuals living with CAC as partners in the research process is encouraged to better understand the lived perspective. Formal engagement requires both structured approaches and iterative processes. The aim was to co-design a conceptual framework to develop and integrate engagement strategies into rehabilitation research focused on CAC populations.

Methods
A multidisciplinary team of authors, including two individuals with lived experience, conducted an implementation-focused descriptive study to inform future research design, including: interviews and follow-up, review of current models and approaches, and development of a co-designed conceptual framework for engaging individuals with lived experience into CAC-specific rehabilitation research.

Results
Emergent themes include shared understanding, transparent appreciation, iterative processes and unique partnership needs. A definition, guiding principles and tools for engagement were identified. In consultation with individuals with lived experience, and application of the emergent themes in context, a conceptual framework to guide the engagement process was developed.

Conclusion
A novel conceptual framework for engaging individuals with lived experience with CAC as partners in rehabilitation research is proposed to facilitate implementation-focused team-based approaches for this population.
Optimizing precision rhinoplasty: comprehensive preoperative planning with nasal computed tomography for functional and aesthetic enhancement
Authors: Szychta Pawel 
Published: March 2024

Abstract
Background
The evolving field of rhinoplasty increasingly recognizes the importance of clinical expertise over routine preoperative nasal computed tomography (CT) for planning surgical interventions. This study evaluates the clinical utility of preoperative nasal CT in enhancing the precision of open structured rhinoplasty, focusing on both functional and aesthetic outcomes without compromising patient safety through unnecessary radiation exposure. The study aimed to assess the impact of preoperative nasal CT on surgical planning and intraoperative maneuvers.

Methods
A prospective cohort study involved patients undergoing open structured rhinoplasty with or without preoperative nasal CT. Participants were divided into a study group, receiving preoperative nasal CT, and a control group, undergoing rhinoplasty without such imaging. Surgical modifications were tailored based on CT findings, with outcomes evaluated through postoperative nasal airflow and aesthetic satisfaction.

Results
The study included 205 patients in the CT group and 514 in the control group, with comparable demographics. The CT group demonstrated significant improvements in nasal breathing and higher aesthetic satisfaction postoperatively, with a notable decrease in the NOSE score and an increase in the ROE score compared to the control group. Minor complications were observed in a small percentage of the CT group, showcasing a nuanced approach to addressing individual anatomical variations.

Conclusions
Preoperative nasal CT in open structured rhinoplasty significantly enhances surgical precision, optimizing functional and aesthetic outcomes. This study underscores the utility of preoperative CT in individualized surgical planning, suggesting its pivotal role in the advancement of rhinoplasty practices. Future research should explore long-term benefits and further validate these findings across diverse populations.
Estimating the impact of container port throughput on employment: an analysis for African countries with seaports
Authors: Ayesu Enock Kojo , Boateng Kofi Ampah Bennin 
Published: March 2024

AbstractPorts play a significant role in facilitating international trade and economic development, serving as vital gateways for the movement of goods across the continent and beyond. As global trade volumes continue to rise, efficient port operations hold the potential to not only enhance economic growth but also contribute significantly to job creation across various sectors of the economy. This paper examines the impact of container port throughput on employment in Africa and further tests whether causality runs from employment to container port throughput. To do so, we use a sample of 27 African countries with seaport and data spanning the period from 2010 to 2020 for the analysis. The system- Generalized Method of Moments (SGMM) estimation technique is used as the estimation strategy. We use service, industrial, and total employment percentages of the total population as proxies for employment while annual container throughput measured in Twenty foots Equivalent Units (TEUs) is used as an indicator for port throughput. Based on the empirical results, we establish a positive significant effect of port throughput on employment in Africa. We further show that bidirectional causality exists between port throughput and employment in Africa. Following these findings, we recommend policies that increase port throughput in Africa.
Leaving home across the recent cohorts in Italy: does economic vulnerability due to labour market status matter?
Authors: Meggiolaro Silvia , Ongaro Fausta 
Published: March 2024

AbstractWe focus on the process of leaving home among young Italians and aim to discern: (a) the extent to which the potential economic vulnerability associated with certain individual labour market conditions affects the pathway of leaving the parental home; (b) whether the impact of such conditions has changed over generations of young adults. Data come from the pooling of two cross-sectional rounds of the ‘Families and Social Subjects’ survey conducted by the Italian National Institute of Statistics in 2009 and 2016. Specifically, we consider young adults who at the time of interview were between the ages of 20 and 44, for a total of 22,218 respondents. We employ discrete-time event history models, including a competing risks approach. Our findings suggest that labour market status differs in its influence according to reason for exit and gender. While we observe a clearly negative impact of being out of the labour market for both union and non-union related reasons for men, this negative impact is observed only for non-union-related motives for women. Meanwhile, economic uncertainty connected with precarious jobs does not necessarily have a negative impact on the risk of leaving parental home, both for union and non-union related reasons. Furthermore, we see signs of differences across cohorts relative to this latter set of motives for men. The results highlight the importance of considering reasons for exit in analyses of departure from the parental home.
Structural basis to identify a target site in Shiga toxin for the inhibitor discovery against growth of Shiga toxin-producing E. coli
Authors: Prabhudesai Anuja , Shaikh Samir , Ashwinbhai Kayasth Zarna , Gupta Reeshu 
Published: March 2024

Abstract
Background
Certain peptides that bind Shiga toxin 2 (Stx2) have been reported to treat Shiga toxin-producing Escherichia coli (STEC) infections. However, their mechanisms of action remain unknown. STEC infections lead to serious diseases, such as hemolytic uremic syndrome, in humans. Antibiotic therapy is usually not recommended because of the major challenges of antibiotic resistance and SOS repair. Currently, there is no human vaccine for STEC infection, leaving rehydration therapy as the recommended supportive therapy. Therefore, there is a need for targeted therapeutic intervention to inhibit STEC growth. The purpose of this study was to evaluate the interaction of five known peptides with Stx2 to identify a more suitable peptide based on structural changes. These peptides have been used to inhibit the growth of STEC.

Results
The current study demonstrated that only tetravalent peptide (TVP) out of 5 common peptides interrupted the Y77-E259 interaction of Stx2, making it active by exposing active site, which ultimately leads to STEC cell death. We also demonstrated that amino acids R170 and F171 of Stx2 in the docked complex of Stx2 and TVP form a helix-loop-helix (HLH). This might lead to the differential expression of genes regulated by Stx2 and ultimately inhibit STEC growth. However, in the case of Stx2-ribosomal P-stalk, these residues did not form HLH. The 3D refined model of TVP showed a low MolProbity score and low energy zones in the ANOLEA profile compared to the original one. Moreover, the low radius of gyration of the refined TVP suggests that it is more compact than the original TVP. Therefore, TVP is a suitable drug candidate for the inhibition of STEC growth. However, the low antigenicity of TVP makes it unsuitable as a drug candidate. We also evaluated three antibiotics that have been used as active ingredients in FDA-approved peptides. Only Oritavancin diphosphate showed strong polar interactions with Y77-E259 and also had the highest binding affinity.

Conclusions
Potential drug candidates that inhibit or interrupt the interaction between Y77-E259 and have high antigenicity, low toxicity, and no allergenicity should be explored against the growth of STEC.
The mediating effect of social support and body appreciation between child abuse and disordered eating symptoms among Lebanese adolescents
Authors: Kanj Gaelle , Hallit Souheil , Dabbous Mariam , Malaeb Diana , Obeid Sahar , Fekih-Romdhane Feten 
Published: March 2024

Abstract
Objective
The current study examines the mediating effect of social support and body appreciation between child abuse and disordered eating symptoms among Lebanese adolescents.

Methods
This study, involving 403 participants, was cross-sectional and conducted between August and September 2022. Lebanese adolescents from all of Lebanon’s governorates were recruited through the “Snowball Sampling” method. The measuring instruments composing the questionnaire included the Eating Attitudes Test (EAT-7) which identifies the presence of risk for eating disorders based on eating-related attitudes, behaviors and feelings; the “Multidimensional Scale of Perceived Social Support (MSPSS)” which measures, from three separate sources, the extent of one’s perception of social support; the “Body Appreciation Scale (BAS)” which assesses the care and respect one has for their own body, along with the acceptance and protection of one’s body from unrealistic beauty ideals; and the “Child Abuse Self-Report Scale (CASRS-12)” which detects lifelong child abuse.

Results
Participants’ mean age was 16.63 ± 1.46 years with 57.3% of females. The results highlight the effect of mediation of social support and body appreciation in the association between all types of child abuse and disordered eating symptoms. Additionally, a significant association was indicated between more abuse and lower social support and body appreciation, whereas another was underscored between higher social support and body appreciation and more appropriate eating attitudes. Lastly, all types of child abuse were observed to be notably associated with further inappropriate eating attitudes.

Conclusion
The current mediation findings preliminarily indicate that experiences of all forms of child abuse may have possibly triggered perceived lack of social support and low levels of body appreciation, which have in turn resulted in more severe disordered eating symptoms in predisposed adolescents. This cautiously suggests that both social support and body appreciation may be regarded as key targets for community-based prevention and intervention strategies aiming at reducing the risk of developing severe eating disorders in adolescents.
Imaging in a rare case of cerebral phaeohyphomycosis caused by Cladophialophora bantiana in a renal transplant patient: a case report and the literature review
Authors: Patil Pushpak N. , Chavan Rajendra , Borse Shivani S. 
Published: March 2024

Abstract
Background
Cerebral phaeohyphomycosis is a rare and potentially life-threatening fungal infection caused by dematiaceous fungi (Levin TP et al. in J Clin Microbiol 42(9):4374–4378, 2004). It may occur in both immunocompetent and immunodeficient individuals, with a relatively higher incidence in the former (Revankar SG et al. in J Trop Med Hyg 38(1):206–222, 2004). A search of the Pubmed and Google Scholar databases revealed seven cases of cerebral phaeohyphomycosis in renal transplant patients caused by Cladophialophora bantiana (C. bantiana).

Case presentation
A 35-year-old male patient who had undergone a renal transplant presented with fever, imbalance while walking, and focal seizures involving the right lower limb. Magnetic Resonance Imaging (MRI) of the brain showed two lesions in the cerebral hemispheres. Craniotomy with excision of the lesion was done. The Periodic Acid Schiff (PAS) stain and the tissue culture on the Sabouraud dextrose agar suggested C. bantiana. The broad-spectrum antifungal drugs were started. However, the patient deteriorated in the subsequent follow-ups and eventually died of the disease.

Conclusions
We present a detailed report on the imaging characteristics of a rare fungal brain abscess caused by C. bantiana, which is the first case of its kind (refer to Table 1). In immunodeficient cases, intracranial pathologies can encompass a wide range of conditions, from infections to neoplasms, which often exhibit significant imaging overlap. In such a setting, the remote possibility of phaeohyphomycosis is easy to miss clinically and imaging-wise. MRI can narrow down the differential diagnosis and raise suspicion. In every suspicious case, it is of the utmost importance to correlate with the histopathology and the culture reports to initiate the prompt targeted therapy and avoid a fatal outcome. Complete excision of the abscess and antifungal agents like Voriconazole and Posaconazole are the mainstay of management in these patients.
Multiparametric arterial spin-labeling and diffusion-weighted imaging of phenotyping of polycystic ovaries
Authors: El-Atta Heba M. Abou , Baky Khaled Abdel , Thabet Mahmoud , Talaat Mona 
Published: March 2024

Abstract
Background
Polycystic ovarian syndrome [PCO] is a worldwide endocrine disorder affecting women of reproductive age. Diagnosis and differentiation of PCO phenotypes are crucial for disease prognosis, fertility outcome, and treatment planning. This study aims to assess arterial spin labeling perfusion (ASL) and diffusion-weighted imaging (DWI) derived metrics in the diagnosis of PCO, differentiation of its phenotypes, and correlation of these metrics with laboratory measurements.

Results
ASL and DWI of the pelvis were performed on 72 PCO patients and another 20 age-matched control group. Two observers measured the blood flow (BF) and ADC in the ovarian stroma. Serum levels of testosterone, dehydroepiandrosterone sulfate (DHEAS), and body mass index (BMI) were calculated. BF values were significantly higher in PCO patients than in control cases (P = 0.001), with area under the curve (AUC) of (0.94 and 0.89) and accuracy of (96% and 92%) for both observers, respectively. Also, BF values were significantly higher in classic than in non-classic PCO cases (P = 0.001), with AUC of (0.92 and 0.90) and accuracy of (91%) for both observers, respectively. ADC values were significantly lower in PCO patients than in control cases (P = 0.001), with AUC of (0.85 and 0.84) for the first observer and second observer, respectively. ADC values were significantly lower in classic PCO patients than in non-classic patients (P = 0.001), with AUC of (0.85 and 0.84) and accuracy of (77% and 81%) for both observers, respectively. Combined values of BF and ADC showed an accuracy of 91% and 86% for differentiating patient from control cases for both observers, respectively, and an accuracy of 92% for differentiating classic from non-classic PCO phenotypes. A significant correlation was found between ADC, BF metrics, and both serum testosterone and DHEAS levels (P < 0.05).

Conclusions
Combination of ASL and ADC can be used in PCO diagnosis and can help in the differentiation of its phenotypes. Serum levels of testosterone and DHEAS have a significant correlation with ADC and BF metrics.
Season-long comparison of trap lures for integrated management of the navel orangeworm (Lepidoptera: Pyralidae) in almond and pistachio
Authors: Siegel Joel P. , Burks Charles S. , Wilson Houston 
Published: March 2024

Abstract

Monitoring navel orangeworm,
Amyelois transitella
(Lepidoptera: Pyralidae) using pheromone lures is now complicated by the use of mating disruption. Two commercially available lures that are minimally affected by mating disruption use either natural ovipositional substrates (Bait lures) or a combination of phenyl propionate (PPO), a volatile chemical that attracts both sexes and pheromone lures (Combo lures). We compared the season-long trap capture for these two lures in a sterile insect technique (SIT) demonstration project in Fresno County, California, 2020–2023. A total of 194,233 males (96.52%) were caught using Combo lures and 7006 (3.48%) caught using Bait lures, while 95,947 females (48.83%) were caught using Combo lures and 100,532 (51.17%) caught using Bait lures. Capture of
A. transitella
was 2.3-fold higher in pistachio (278,492) than in almond (119, 316), and within a commodity, there was a moderate correlation in female capture between the two lures; correlation was stronger during the period leading up to July 21 (Julian date 202). For Bait lures, 48.7% of the trap catch in almond occurred by July 21 and 87.1% of the trap catch occurred in pistachio by July 21. For Combo lures, 38.9% of the trap catch in almond occurred by July 21 while 54.6% of the catch occurred in pistachio. Bait lures became less effective after July 21, likely due to diminished attractiveness as new crop nuts split in August through October. Our data indicate that Combo lures are preferable when the goal is consistent season-long capture of
A. transitella
in almond and pistachio.
Multiobjective route finding in a multimode transportation network by NSGA-II
Authors: Faroqi Hamed 
Published: March 2024

AbstractRoute finding is an everyday challenge for urban residents. While many route planner applications exist, they cannot find suitable routes based on user preferences. According to user preferences, routing in a multimode urban transportation network can be considered a multiobjective optimization problem. Different objectives and modes for transportation, along with many routes as decision elements, give rise to the complexity of the problem. This study uses an elitism multiobjective evolutionary algorithm and the Pareto front concept to solve the problem. The data of a simulated multimode network consisting of 150 vertexes and 2600 edges are used to test and evaluate the proposed method. Four transport modes are considered: the metro, bus, taxi, and walking. Also, three minimization objective functions are considered: expense, discomfort, and time. The results show the competence of the algorithm in solving such a complex problem in a short run time. The optimal setting for the algorithm parameters is found by considering the algorithm run time, diversity of solutions, and convergence trend by running sensitivity analyses. A repeatability test is applied using the optimal setting of the algorithm, which shows a high level of repeatability. While NSGA-II (Non-dominated Sorting Genetic Algorithm II) may be a well-established algorithm in the literature, its application in multiobjective route finding in multimode transport networks is unique and novel. The outcomes of the proposed method are compared with existing methods in the literature, proving the better performance of the NSGA-II algorithm.