bluuebunny/crossref_metadata_2025_split huggingface dataset:
Clinical significance of Serum APOC2 in type 2 diabetes mellitus combined with pyogenic liver abscess
Authors: Huang Ying , Chen Xiaoqin , Guo Hongyan , Zhang Xin , Hu Yuhai , Chen Tianbin 
Published: August 2024

Abstract

Purpose: To investigate the diagnostic value of serum APOC2 in patients with diabetes mellitus combined with pyogenic liver abscess.
Methods: From April 2023 to July 2023, 77 type 2 diabetes mellitus patients were included in The First Affiliated Hospital, Fujian Medical University which divided into two groups: diabetes mellitus (n=55) and diabetes mellitus combined with pyogenic liver abscess (n=22). Additionally, 27 healthy individuals served as the control group. Serum APOC2 levels were detected and compared among the groups. ROC curve and logistic regression analysis were performed to evaluate the diagnostic value of serum APOC2.
Results: Serum APOC2 levels were significantly higher in diabetes mellitus patients compared to the healthy control group (4.681 vs 3.490 mg/dL, P=0.008). In diabetes mellitus combined with pyogenic liver abscess patients, APOC2 levels were significantly reduced (4.681 vs 2.470 mg/dL, P<0.001), but increased post-treatment (2.470 vs 4.323 mg/dL, P<0.001). ROC curve analysis showed high diagnostic accuracy for serum APOC2 in diabetes mellitus combined with pyogenic liver abscess (AUC=0.945, 95% CI: 0.870-0.999). Logistic regression analysis revealed that reduced serum APOC2 levels are a risk factor for diabetes mellitus combined with pyogenic liver abscess (OR=0.02, 95% CI=0.01~0.16, P=0.012). The diabetes mellitus combined with pyogenic liver abscess patients with lower APOC2 levels had higher ALT (101 U/L vs 31 U/L, P=0.038) and AST levels (55 U/L vs 28 U/L, P=0.007), suggesting that reduced serum APOC2 levels are associated with liver function damage.
Conclusion: Serum APOC2 levels were significantly decreased in patients with diabetes mellitus combined with pyogenic liver abscess, serving as a potential marker for predicting the occurrence of this condition. Lower levels of APOC2 are strongly linked to liver function impairment.
Morbidity and Mortality Conference in Ophthalmology: Pilot Study on Maximizing Quality while Optimizing Education
Authors: Mudalegundi Shwetha , Melson Andrew , Zhang Alice Yang , Tu Daniel , Rosenberg Jamie , Moore Daniel , Knoch Daniel , Kang Jessica Minjy , Woreta Fasika , Green Laura , Swamy Ramya , Tannan Anjali , Ramanathan Saras 
Published: August 2024

Abstract

Purpose/Background: Discussion of medical and surgical adverse events between peers and learners allows for all members of the learning community to benefit from lessons learned while assessing and resolving that situation. Little is known about the ways academic ophthalmology departments discuss adverse events, or how those discussions impact attending and resident education. This pilot study surveys US academic ophthalmology residency programs using a mixed methods analysis to determine the current frequency, structure, purpose, and outcomes of morbidity and mortality or other quality improvement conferences.
Design/Methods: An 25-item electronic questionnaire was e-mailed to 121 program directors with a request to each PD to forward the same 25-item questionnaire to their respective residents. The response period was between May 2023 and July 2023, with two reminders. Questionnaire items were grouped into the following themes: demographics; timing, frequency, and structure; purpose and goals; perceived outcome; and obstacles/areas for improvement.
Results: Responses were received from 30/121 (25%) of program directors and 26/1989 (1%) residents. The majority or 31/56 (56%) of respondents’ programs held M&M conferences quarterly, while the frequency range was weekly to quarterly. Residents involved in the patient’s care often were the ones to present (51%) cases which were usually determined by a provider-generated list (53%). Most respondents reported the lack of an anonymous case submission method (75%) and only 31% of participants stated that they had a formalized process for following up on systems issues identified in M&M. The primary obstacle to effective M&Ms was reported to be the fear of judgement/embarrassment or repercussions.
Conclusion: There is significant variation in the way complications are discussed in ophthalmology departments across the country. This study demonstrates a near universal need for increased frequency and duration of M&Ms, a formal complication/mistake reporting system, and a formal follow-up on systems issues identified during M&M. These best practices can benefit the culture around discussing complications and increase adoption of M&M conferences in ophthalmology to facilitate better patient safety and outcomes.
Espousing Environmental Pollution Management and Control by Exploring the Bioenergy Properties of Coconut Shell Nanoparticles
Authors: Abubakar Ruhiya , Aymeric N’da Comoe Axel , Acakpovi Amevi , Anabiah Solomon Nsor 
Published: August 2024

Abstract

Energy in all forms is a key requirement for human livelihoods and socio-economic development. However, overreliance on a single sthece of energy can cause energy management issues because of the occurrence of system over-burdening. Thus, the utilization of other forms of energy is highly promoted worldwide, with a clear emphasis on enhancing environmentalism and reducing pollution through waste management and control. This paper considers the use of digital image processing in the form of pattern recognition to extract the pattern of a coconut shell and charcoal wood to show the correlation between their patterns and thus deduce the energy properties of the coconut shell. A 3D camera is used to capture the digital image of the preprocessed coconut shell. The appropriate algorithm is then written on the MATLAB software toolbox to manipulate and translate the digital images, hence revealing its hidden nature. The technical process of scrutinizing the hidden properties involves the changes of pixels of the images, enhancement and thresholding; which is the pattern revealing step. Finally, the automatic pattern recognition toolbox acts to recognize the resemblance of the pattern of the coconut shells to the wood charcoal in order to analyze the pattern directly and determine the energy property percentage indices of the agent under test. The results indicate that coconut shells is carbon based, first- generation bioenergy crop and has high bioenergy properties and again a lower ignition property compared to charcoal wood.
Performance Comparison Of SDN Controllers In Different Network Topologies
Authors: Ali Umair 
Published: August 2024

Abstract

The development of Software-Defined Networking (SDN) has completely changed the way networks are optimized and controlled. Still, network topologies and SDN controller performance are important factors that need to be thoroughly examined. In this study the evaluation of four well-known SDN controllers: Ryu, Floodlight, OpenDayLight, and ONOS across five different network topologies: Single, Linear, Tree, Torus, and Custom are examined. We conducted extensive experiments using Mininet and Iperf to measure latency, jitter, packet loss, and throughput. It is clear from the results that Ryu performs better than the others, and Linear topology is the most effective. Notably, the best performance is obtained when Ryu and Linear topology work together. Our results suggest that Ryu and linear topology are the best combination for high-performance networks, which has significant implications for the design and deployment of SDN networks. On the other hand, other controllers and topologies are more suitable for certain use cases, such as large networks, research and development, small networks, and custom applications. this study provides invaluable information for researchers, practitioners, and network administrators looking to maximize SDN network performance and realize its full potential.
A challenging case of drug-induced cholestatic liver injury: How to approach?
Authors: Badwei Nourhan 
Published: August 2024

Abstract

Background
Drug-induced liver injury (DILI) of cholestatic pattern presents a significant burden to the health care system. It is one of the most challenging liver disorders faced by hepatologists. It can have several histological features of different prognoses. The diagnosis depends on the exclusion of other related differential diagnoses. However, there is insufficient data on effective therapeutic strategies for such disorders.
Case presentation:
A female patient presenting with jaundice and pruritis that was eventually diagnosed as DILI of cholestatic pattern after exclusion of various related D.D.
Conclusion
we aimed to summarize the issues related to pathophysiology, clinical approach and management of such a challenging liver disorder.
Alterations of White Matter Structure in Patients with Fibromyalgia: A Systematic Review of Diffusion Tensor Imaging Studies
Authors: Lotfinia Shahab , Afshar Amin , Roozbeh Mahrooz , Pakdaman Hossein , Roozbeh Mehrdad 
Published: August 2024

Abstract

Background
Fibromyalgia is a chronic pain condition with numerous and varied symptoms. Abnormal central pain processing underlies fibromyalgia, according to brain imaging studies. Diffusion Tensor Imaging (DTI) has effectively been used in pain research. In this research, we review studies that have used DTI for assessing white matter changes in patients with fibromyalgia.
Method
A systematic review on PubMed, Web of Science, and Scopus was conducted. Studies using DTI were included if they had compared the white matter changes in patients with fibromyalgia with controls. Studies with other imaging techniques and with languages other than English were excluded.
Results
The analysis included the results of 10 articles in which 215 patients were examined with DTI. The findings revealed widespread white matter brain abnormalities in regions such as the thalamus, frontal cortex, corpus callosum, and global white matter organization.
Discussion
This review provides primary evidence of white matter organization changes in patients with fibromyalgia. Further research is needed to better understand the relationship between these white matter changes and the pathophysiology of fibromyalgia, as well as to develop more effective treatment strategies for this debilitating condition.
Psychoeducation Interventions after Brain Injury – A Scoping Review
Authors: Dulhanty Louise , Patel Hiren 
Published: August 2024

Abstract

Background and aims: Psychoeducation is an intervention which involves structured disease specific information and support aimed at improving coping and understanding. Evidence has shown that this type of intervention improves outcome in mental illness and other medical illnesses. The aim of this scoping review is to identify the available evidence and key concepts relating to psychoeducational interventions following acute brain injury.
Methods: This review was reported in line with the PRISMA Extension for Scoping Reviews. Three electronic databases (MEDLINE, Embase, PsycINFO) were searched for articles relating to psychoeducation interventions following acute brain injury. Search retrieved 5.492 articles (after removal of duplicates), titles, abstracts and full texts were screened, and data extracted for included studies. The quality of randomised control studies was assessed using JADAD scale. TIDieR scale was used to describe interventions.
Results: Twenty-seven studies were included with a total of 1726 participants. Eighteen of the studies were randomised control studies, all with a JADAD score ≥ 2.
Thirteen studies were in stroke, eight in traumatic brain injury and six in acquired brain injury. There was heterogeneity in study design, intervention and outcome measures used. Eleven randomised control studies showed significant improvements in fatigue, emotion, or quality of life.
Conclusion: Psychoeducation may improve life after brain injury, however interventions to date have been varied and used a wide range of outcome measures. Standardisation would be needed to facilitate reproducibility.
Diagnostic accuracy of LiquidArray MTB-XDR VER1.0 for the detection of Mycobacterium tuberculosis complex, fluoroquinolone, amikacin, ethambutol, and linezolid susceptibility
Authors: Grant Theron 
Published: August 2024

Abstract

Drug susceptibility testing (DST) is essential for effectively starting people on effective tuberculosis (TB) regimens. No accuracy data exists for the new high-throughput LiquidArray MTB-XDR (LA-XDR) test, which detects Mycobacterium tuberculosiscomplex (MTBC) and susceptibility to the fluoroquinolones, amikacin, ethambutol, and linezolid (the latter two drugs have no rapid molecular DSTs available). We enrolled (n=720) people with presumptive TB who provided two sputa for Xpert MTB/RIF Ultra and culture (MTBC reference standard). Phenotypic DST and Sanger sequencing served as a composite reference standard. Manual FluoroLyse and automated GenoXtract-fleXT (fleXT) DNA extraction methods were compared. For MTBC, LA-XDR using fleXT-extracted or FluoroLyse-extracted DNA had similar sensitivities (85-87%; which improved upon eluate retesting) and specificities (99%). Drug susceptibility sensitivities varied: 94% (86, 98) for fluoroquinolones, 64% (45, 80) for amikacin, and 88% (79, 93) for ethambutol (specificities 97-100%). LA-XDR detected 86% (6/7) phenotypically resistant linezolid isolates. LA-XDR with fleXT had indeterminate proportions of 8% (21/251) for fluoroquinolones, 1% (2/251) for ethambutol, 25% (63/251) for amikacin, and 37% (93/251) for linezolid. In a hypothetical population of 100 smear-negative fluoroquinolones-resistant cases, 24% (24/100) could be missed due to an unsuccessful result (1 fleXT error and, for LA-XDR, 2 invalid results, 15 MTBC-negative, 6 fluoroquinolone-indeterminate, 1 false-susceptible). LA-XDR met the minimum WHO target product profile for a next-generation sputum-based moderate complexity DST with high sensitivity for fluoroquinolones and ethambutol resistance, moderate sensitivity for amikacin resistance, and promise for linezolid resistance, for which more data are needed. Improved MTBC detection would reduce missed resistance.
The Role of Ecotourism in Sustainable Development: A Comprehensive Systematic Review
Authors: Patil Shivanand , Pattanshetti Muragesh 
Published: August 2024

Abstract

Ecotourism, as a form of sustainable tourism, has gained prominence for its potential to promote environmental conservation, economic growth, and cultural preservation. This systematic review explores the multifaceted impacts of ecotourism on sustainable development by analyzing 250 peer-reviewed studies published over the last 20 years. The methodology employed includes a comprehensive search of databases such as Web of Science, Google Scholar, and Scopus, followed by a rigorous screening and quality assessment process based on established criteria. The findings indicate that ecotourism significantly contributes to environmental conservation through funding and awareness, although it can also pose challenges such as wildlife disturbance and habitat degradation if not properly managed. Economically, ecotourism creates jobs, supports local businesses, and funds conservation projects, while culturally, it aids in the preservation of heritage and promotes respect for indigenous practices. Effective governance and community involvement are critical for the success and sustainability of ecotourism initiatives. The review underscores the importance of policy development, capacity building, and robust monitoring systems to enhance the positive impacts of ecotourism. Future research should focus on detailed case studies, longitudinal analyses, and impact assessments to further understand and optimize the role of ecotourism in sustainable development.
Leak detection in water distribution networks based on deep learning and kriging interpolation method
Authors: Yu Huimin , Lin Sen , Zhou Hua , Weng Xiaodan , Chu Shipeng , Yu Tingchao 
Published: August 2024

ABSTRACT
The burgeoning growth of urban areas has escalated the necessity for efficient and precise leak detection in water distribution networks. Automatic detection methods based on deep learning are a state-of-the-art research topic. In this paper, a methodology that combines deep learning and data imaging is proposed. The framework employs pressure monitoring data and is anchored on the following three pillars: (1) the generation of a comprehensive dataset, encompassing one year of leak-free demand data derived from Fourier Series analysis and monitoring pressure under normal and leak conditions, (2) the transformation of pressure time series into images using kriging interpolation, (3) establishing convolution neural network (CNN) and evaluating its performance of abnormal identification. The effectiveness of the proposed methodology is assessed in different image sets under various leak conditions. The findings reveal that this method meets dependable and effective outputs for leak detection, with the deep learning model achieving a high true positive rate (TPR) of 98% and an area under the curve (AUC) of 94%. This study provides invaluable information for strategic action planning and the enhancement of water loss management protocols, especially in situations where water utilities and regulatory authorities grappling with limited budgets and diminishing revenues.
A Clinical-radiomics Nomogram for the Non-invasive Evaluation of GlomerularStatus in Diabetic Kidney Disease
Authors: Xiao Weihan , Zhang Di , Hu Xiaomin , Yin Chen , Liu Xiaoling , Wang Di , Yao Jiao , Liu Xuebin , Zhang Chaoxue , Qin Xiachuan 
Published: August 2024

Objective:
Utilizing ultrasound radiomics, we developed a machine learning (ML) model to construct a nomogram for the non-invasive evaluation of
glomerular status in diabetic kidney disease (DKD).

Materials and Methods:
Patients with DKD who underwent renal biopsy were retrospectively enrolled between February 2017 and February 2023. The patients were
classified into mild or moderate-severe glomerular severity based on pathological findings. All patients were randomly divided into a training (n =
79) or testing cohort (n = 35). Radiomic features were extracted from ultrasound images, and a logistic regression ML algorithm was applied to
construct an ultrasound radiomic model after selecting the most significant features using univariate analysis and the least absolute shrinkage and
selection operator algorithm (LASSO). A clinical model was created following univariate and multivariate logistic regression analyses of the
patient's clinical characteristics. Then, the clinical-radiomic model was constructed by combining rad scores and independent clinical
characteristics and plotting the nomogram. The receiver operating characteristic curve (ROC) and decision curve analysis (DCA), respectively,
were used to evaluate the prediction abilities of the clinical model, ultrasound-radiomics model, and clinical-radiomics model.

Results:
A total of 114 DKD patients were included in the study, including 43 with mild glomerulopathy and 71 with moderate-severe glomerulopathy. The
area under the curve (AUC) for the clinical model based on clinical features and the radiomic model based on 2D ultrasound images in the testing
cohort was 0.729 and 0.761, respectively. Further, the AUC for the clinical-radiomic nomogram was constructed by combining clinical features,
and the rad score was 0.850 in the testing cohort. The outcomes were better than those of both the radiomic and clinical single-model approaches.

Conclusion:
The nomogram constructed by combining ultrasound radiomics and clinical features has good performance in assessing the glomerular status of
patients with DKD and will help clinicians monitor the progression of DKD.
Formulation Optimization and Characterization of Solid Lipid Nanoparticles of Apixaban
Authors: Mulay Laukik , Hegde Namita , Kanugo Abhishek 
Published: August 2024

Background:
Unpredictable situations such as clotting of blood, deep vein thrombosis,
and pulmonary embolism arise in the body, which is the leading cause of mortality. Such conditions
generally arise after surgery as well as after treatment with oral anticoagulant agents. Apixaban is a
novel oral anticoagulant widely recommended for the prevention and treatment of strokes and blood
clots suffering from nonvalvular atrial fibrillation by suppressing factor Xa. Apixaban has a log P
of 2.71 with poor solubility and reported maximum bioavailability of approximately 50%.

Objective:
Hence, the current research mainly focused on the improvement of solubility, bioavailability,
and therapeutic efficacy of Apixaban via solid lipid nanoparticles (SLN).

Methods:
The SLN was developed using the hot-homogenization method using a high-pressure
homogenizer. The drug-lipid compatibility study was assessed by the FTIR, and the thermal analysis
was performed using differential scanning calorimetry (DSC). During the scrutiny of lipids, the
highest solubility of Apixaban was estimated in the glyceryl monostearate, hence selected for the
formulation. Moreover, the colloidal solution was stabilized by the polyethylene glycol 200. The
Design of Expert software (Version 13, Stat-Ease) was implemented for the optimization analysis
by considering the 3-independent factors and 2-dependent parameters. The Patents on the SLN are
Indian 202321053691, U.S. Patent, 10,973,798B2, U.S. Patent, U.S. Patent 2021/0069121A1, U.S.
Patent 2022/0151945A1.

Results:
Box-Behnken design was applied along with ANOVA, which showed a p-value less than
0.05 for the dependent parameters such as particle size and entrapment efficiency (p-value: 0.0476
and 0.0379). The optimized batch F10 showed a particle size of 167.1 nm, -19.5 mV zeta potential,
and an entrapment efficiency of 87.32%. The optimized batch F10 was lyophilized and analyzed by
Scanning electron microscopy (SEM), which showed a particle size of 130 nm. The solid powder
was filled into the capsule for oral delivery.

Conclusion:
The marked improvement in solubility and bioavailability was achieved with F10-
loaded Apixaban via Solid lipid nanoparticles. Moreover, the sustained released profile also minimizes
the unseen complications that occur due to the clotting of blood.
Huerta de Valencia: agrarisch theater
Authors: Paarlberg Alfred 
Published: August 2024

Achter de muren van Valencia onthult de 'Huerta' meer dan alleen landbouwgrond. Het is een levendig cultureel landschap dat de tand des tijds heeft doorstaan. Ontdek hoe klimaat, economie en politiek samenkomen in dit agrarisch theater, waar de hoofdrol is weggelegd voor duurzaamheid in de transitie van traditie naar levensvatbaarheid.
China's neoliberale woonhervorming
Authors: Li Qianwen 
Published: August 2024

Vanaf 1978 heeft de Chinese woningmarkt een door de staat geïnitieerde transformatie ondergaan, waarbij een balans wordt gezocht tussen de complexiteit van de markt en de autoritaire gecentraliseerde controle. Hoe verhoudt dit model zich tot het Westerse neoliberalisme?