bluuebunny/crossref_metadata_2025_split huggingface dataset:
Yeast cell detection using fuzzy automatic contrast enhancement (FACE) and you only look once (YOLO)
Authors: Huang Zheng-Jie , Patel Brijesh , Lu Wei-Hao , Yang Tz-Yu , Tung Wei-Cheng , Bučinskas Vytautas , Greitans Modris , Wu Yu-Wei , Lin Po Ting 
Published: September 2023

AbstractIn contemporary biomedical research, the accurate automatic detection of cells within intricate microscopic imagery stands as a cornerstone for scientific advancement. Leveraging state-of-the-art deep learning techniques, this study introduces a novel amalgamation of Fuzzy Automatic Contrast Enhancement (FACE) and the You Only Look Once (YOLO) framework to address this critical challenge of automatic cell detection. Yeast cells, representing a vital component of the fungi family, hold profound significance in elucidating the intricacies of eukaryotic cells and human biology. The proposed methodology introduces a paradigm shift in cell detection by optimizing image contrast through optimal fuzzy clustering within the FACE approach. This advancement mitigates the shortcomings of conventional contrast enhancement techniques, minimizing artifacts and suboptimal outcomes. Further enhancing contrast, a universal contrast enhancement variable is ingeniously introduced, enriching image clarity with automatic precision. Experimental validation encompasses a diverse range of yeast cell images subjected to rigorous quantitative assessment via Root-Mean-Square Contrast and Root-Mean-Square Deviation (RMSD). Comparative analyses against conventional enhancement methods showcase the superior performance of the FACE-enhanced images. Notably, the integration of the innovative You Only Look Once (YOLOv5) facilitates automatic cell detection within a finely partitioned grid system. This leads to the development of two models—one operating on pristine raw images, the other harnessing the enriched landscape of FACE-enhanced imagery. Strikingly, the FACE enhancement achieves exceptional accuracy in automatic yeast cell detection by YOLOv5 across both raw and enhanced images. Comprehensive performance evaluations encompassing tenfold accuracy assessments and confidence scoring substantiate the robustness of the FACE-YOLO model. Notably, the integration of FACE-enhanced images serves as a catalyst, significantly elevating the performance of YOLOv5 detection. Complementing these efforts, OpenCV lends computational acumen to delineate precise yeast cell contours and coordinates, augmenting the precision of cell detection.
Multidisciplinary management of acute cholecystitis during the COVID-19 pandemic
Authors: Tóth I. , Ábrahám S. , Karamya Z. , Benkő R. , Matuz M. , Nagy A. , Váczi D. , Négyessy A. , Czakó B. , Illés D. , Tajti M. , Ivány E. , Lázár G. , Czakó László 
Published: September 2023

AbstractThe coronavirus disease 2019 pandemic had a major impact on most medical services. Our aim was to assess the outcome of acute cholecystitis during the nationwide lockdown period. All patients admitted to our emergency department for AC were analysed. Patient characteristics, performance status, AC severity, treatment modality and outcome of AC were assessed during the lockdown period (Period II: 1 April 2020–30 November 2021) and compared to a historical control period (Period I: 1 May 2017–31 December 2018). AC admissions increased by 72.8% in Period II. Patients were younger (70 vs. 74 years, p = 0.017) and greater in number in the CCI 1 group (20.4% vs. 11.2%, p = 0.043) in Period II. The unplanned readmission rate (6.3 vs. 0%, p = 0.004) and the gallbladder perforation (GP) rate was higher (18.0 vs. 7.3%, p = 0.006) in Period II. Percutaneous transhepatic gallbladder drainage (PTGBD) was more frequent (24.1 vs. 12.8%, p = 0.012) in Period II. In addition to a drop in patient age and CCI, a significant rise in the prevalence of acute cholecystitis, GP and unplanned readmissions was observed during the nationwide lockdown due to the COVID-19 pandemic. PTGBD was more frequent during this period, whereas successful conservative treatment was less frequent.
Evidence-Based Expository Intervention: A Tutorial for Speech-Language Pathologists
Authors: Ukrainetz Teresa A. 
Published: September 2023

Purpose:This tutorial guides speech-language pathologists (SLPs) through the research base for expository intervention and evidence-based decision making for clinical implementation.Method:In the first half of the tutorial, the nature and development of expository discourse is described, and then attention is turned to the research base that informs SLP expository intervention. The many educational domains in which relevant research can be found and the diverse terminology used are explained. From reading comprehension and compositional writing, two areas with strong research evidence that are suitable to SLP use—text structure and learning strategies—are identified. The second half of the tutorial focuses on crafting SLP interventions from the educational evidence. An expository intervention designed specifically for SLPs from this research base, called Sketch and Speak, is presented. In this intervention, visual and written note-taking strategies are combined with oral formulation and practice strategies and taught through individualized oral interactions around informational texts. SLPs are guided on how to adapt this and other expository treatments to their own priorities and service delivery situations while maintaining quality features or “active ingredients” of researched treatments.Conclusions:There is considerable educational research on expository intervention. From this literature, SLPs can strategically adopt and adapt to implement evidence-based interventions to help students understand, speak, and write in this important discourse form.
Expressive Language Profiles in a Clinical Screening Sample of Mandarin-Speaking Preschool Children With Autism Spectrum Disorder
Authors: Li Li , Su Yi (Esther) , Hou Wenwen , Zhou Muyu , Xie Yixiang , Zou Xiaobing , Li Ming 
Published: September 2023

Purpose:This cross-sectional study aimed to depict expressive language profiles and clarify lexical–grammatical interrelationships in Mandarin-speaking preschoolers with autism spectrum disorder (ASD) during the administration of the simplified Chinese Psychoeducational Profile–Third Edition screening.Method:We collected naturalistic language samples from 81 (74 boys, seven girls) 2- to 7-year-old (Mage= 55.6 months,SD= 15.17) Mandarin-speaking children with ASD in clinician–child interactions. The child participants were divided into five age subgroups with 12-month intervals according to their chronological age. Computer-assisted part-of-speech tagging, constituency analysis, and dependency analysis addressed the developmental trajectories of early lexical and grammatical growth in each age subgroup.Results:Significant within-ASD differences were observed in content words, function words, and lexical categories. Nouns and verbs were the predominant lexical categories, while noun types overwhelmed verb types in children over 3 years old. The grammatical development of 5- to 6-year-old Mandarin-speaking children with ASD was better than that of 3- to 4-year-old children. The trends of syntactic structures, grammatical relations, and grammatical complexity in each age group were similar.Conclusions:Mandarin-speaking preschoolers with ASD produce more lexicons with increasing age. They preserve the noun bias as a universal mechanism in early lexical learning. Moreover, their developmental trajectories of grammatical growth were comparable in each age subgroup. In addition, their lexicons and grammar were synchronically developed during early language acquisition.
Assessing the Language Abilities of Bahamian Creole English–Speaking Children
Authors: Moss Danielle , Timler Geralyn R. 
Published: September 2023

Purpose:
Speech-language pathologists (SLPs) assessing the expressive language of dual language learners may encounter challenges in making clinical judgments of language difference, developmental errors (e.g., overgeneralization), and language disorder. The purpose of this tutorial is to provide SLPs with language assessment information for children of Bahamian descent who speak Bahamian Creole English and English.

Method:
Using three cases as examples, we propose and describe a contextualized assessment approach. With this approach, we use multiple pieces of assessment data and place a child in a basic framework to ascertain what the context requires the child to do and what the child is currently doing and also determine how to support the child's language development.

Results:
The tutorial highlights the core components of the assessment process (i.e., referral, case history, assessment, and diagnosis). Guidelines for treatment are also addressed.

Conclusions:
Potential issues that can arise during the assessment of the language development of Bahamian children are addressed using a contextualized assessment approach. Assessment resources are provided within this tutorial.
Load frequency control strategy for islanded multimicrogrids with V2G dependent on learning‐based model predictive control
Authors: Fan Peixiao , Yang Jun , Ke Song , Wen Yuxin , Li Yonghui , Xie Lilong 
Published: September 2023

AbstractSystem reliability and stability can be significantly improved by the interconnected operation of multimicrogrids, and electric vehicles (EVs) provide a more flexible solution for frequency control, which also present challenges for frequency control. Therefore, a load frequency control (LFC) strategy for multimicrogrids with vehicle to grid (V2G) dependent on learning‐based model predictive control (MPC) is proposed. First, a controller‐interconnected multimicrogrid topology is proposed; thus, a multimicrogrid consisting of microturbines (MTs), distributed power sources, and EVs and their random power constraints is established. Second, a control parameter adaptive algorithm based on learning‐based MPC is designed. The real‐time frequency offset and EV station output power boundary are used as the state set, adjustable parameters of the MPC controller are used as the action set, and reward function is set with frequency deviation so that the adaptive adjustment of the weight parameters of the MPC controller is realised. Additionally, the improved MPC controller designed in this paper can transform the frequency control process into an optimization problem, which is well adapted to various random constraints in the control process. In addition, the deep deterministic policy gradient (DDPG)‐MPC double‐layer controller can prevent machine learning controller failure. Finally, the simulation results show that, compared with traditional control and MPC algorithms, the learning‐based MPC controller applied to the controller interconnection structure can exchange information between submicrogrids. Moreover, based on the experience accumulated in the prelearning process, the controller parameters can be updated according to the environmental state in real time, thereby significantly improving the robustness and rapidity of the multimicrogrid frequency control process. Meanwhile, compared with a traditional DDPG controller, the proposed controller with double‐layer coupling structure can better ensure the safe operation of the multimicrogrid system when the machine learning agent fails and cannot output actions normally.
Two‐stage coarse‐to‐fine method for pathological images in medical decision‐making systems
Authors: He Keke , Zhu Jun , Li Limiao , Gou Fangfang , Wu Jia 
Published: September 2023

AbstractArtificial intelligence decision systems play an important supporting role in the field of medical information. Medical image analysis is an important part of decision systems and an even more important part of medical diagnosis and treatment. The wealth of cellular information in histopathological images makes them a reliable means of diagnosing tumors. However, due to the large size, high resolution, and complex background structure of pathology images, deep learning methods still have various difficulties in the recognition of pathology images. Based on this, this study proposes a two‐stage continuous improvement‐based approach for pathology image recognition in medical decision systems. For pathology images with complex backgrounds, normalization and enhancement is performed to remove the effects of noise color, and light‐dark inconsistencies on the segmentation network. The continuous refinement PSP Net (CRPSPNet) is then designed for accurate recognition of the pathology images. CRPSPNet is divided into two stages: Pyramid Scene Parsing Network segmentation to obtain coarse segmentation results; and continuous refinement model refines the results of the first stage. Experiments using more than 1,000 osteosarcoma pathology images have shown that the method gives more accurate results with fewer computer resources and processing time than traditional optimization models. Its Intersection over Union achieves 0.76.
Themenreihe Praxishygiene – Teil 1
Authors: Handkke Denis Maximilian 
Published: September 2023

SummaryDas Thema Praxishygiene hat aktuell an Aufmerksamkeit gewonnen. Vielfalt und Fülle der Informationen und Verordnungen können allerdings darüber verunsichern, welche Maßnahmen festzulegen und durchzuführen sind. Die Beantwortung der einfachen Fragen „Wo bin ich?“, „Wo will ich hin?“ und „Wie komme ich dahin?“ ermöglicht es, schrittweise den Standort, das Ziel und geeignete Maßnahmen zu bestimmen. Im 1. Teil der Themenreihe schlägt der Autor einen Katalog von Maßnahmen vor, die sich in der Praxis bewährt haben, um die Erstellung eines Hygienemanagements zu unterstützen.
The Effects of Maternal Smoking on Thyroid Function: Findings from
Routine First-Trimester Sonographic Anomaly Screening
Authors: Bakar Rabia Zehra , Cetin Caglar , Yozgat Can Yilmaz , Kütük Mehmet Serdar 
Published: September 2023

Abstract
Aim This study aimed to assess the effect of tobacco exposure on maternal
thyroid function and investigate its relationship to subclinical hypothyroidism
in pregnant women during the first trimester.
Subjects and Method A comparison of maternal thyroid function was made on
45 smokers, who composed the study group, and 72 non-smokers, pregnant women,
who constituted the control group. After determining smokers by questionnaire,
carbon monoxide (CO) levels in the expiratory air of the participants in both
groups were measured and recorded, and the smokers’ exposure was
objectively confirmed.
Results Smoking and non-smoking pregnant women were similar regarding body
mass index (BMI). While the TSH and fT4 levels were respectively 1.48
mlU/L and 11.43 pmol/L in pregnant women who smoked, that ratio
changed to 1.72 mlU/L and 11.17 pmol/L in the
non-smokers’ group. But the differences between the groups were not
statistically significant (p=0.239, p=0.179). Even though the
rate of subclinical hypothyroidism was 8.9% in the smoking group, it was
approximately 19.4% in the non-smoker group; the difference was not
statistically significant (p=0.187).
Conclusion This study proved that there is no statistically significant
difference between maternal serum TSH and fT4 levels and the rate of subclinical
hypothyroidism in smokers during pregnancy in the first trimester.
Effect of Formononetin on Lipopolysaccharide-Induced Depressive-Like Behaviors and Neuroinflammation in Mice
Authors: Li Mengyuan , Liu Hui , Peng Shuaijun , Su Pan , Xu Erping , Bai Ming , Li Yucheng 
Published: September 2023

Abstract
Objective The objective of this article is to explore the effect of formononetin (FMN) on depressive-like behaviors and neuroinflammation in lipopolysaccharide (LPS)-induced mice.Methods After acclimatization, male Institute of Cancer Research mice were randomly divided into normal group, LPS group, paroxetine group (20 mg/kg), FMN low-dose group (20 mg/kg, FMN20), and FMN high-dose group (40 mg/kg, FMN40), with eight mice in each group. The depressive-like behaviors were observed by sucrose preference test, tail suspension test (TST), and open field test. The protein and mRNA levels of interleukin-6 (IL-6), interleukin-1β (IL-1β), and tumor necrosis factor-α (TNF-α) in the hippocampus were determined by enzyme-linked immunosorbent assay and real-time quantitative polymerase chain reaction. The expression level of ionized calcium-binding adapter molecule 1 (Iba-1) in the hippocampus was observed by immunofluorescence staining to evaluate the activation level of microglia.
Results Compared with the control group, the sucrose preference rate, the activity time of the central area, the distance of the central area, and the number of times of entering the central area were significantly decreased in the LPS group (p < 0.01), and the immobility time of TST was significantly prolonged (p < 0.05), the expression levels of IL-6, IL-1β, and TNF-α protein and mRNA in hippocampus were significantly increased (p < 0.01), and the fluorescence intensity of Iba-1 in CA1, CA3, and DG regions of hippocampus was significantly increased (p < 0.01). Compared with the LPS group, the sucrose preference rate, central area activity time, central area activity distance, and the number of times of entering the central area were significantly increased (p < 0.05 or p <0.01) in the FMN group, and TST immobility time was significantly shortened (p < 0.01), the expression levels of IL-6, IL-1β, and TNF-α protein and mRNA in the hippocampus were significantly decreased (p < 0.05 or p < 0.01), and the fluorescence intensity of Iba-1 in CA1, CA3, and DG regions of hippocampus was significantly decreased (p < 0.01).
Conclusion FMN could inhibit LPS-induced activation of microglia, reduce hippocampal neuroinflammation, and improve depressive-like behaviors in mice.
Medial Shoulder Instability: Prevalence and Treatment Outcomes in 17 Poodles and 31 Dogs of Other Breeds
Authors: Woolley E.L.E. , Collyer T.A. , Finch S.J. , House A.K. 
Published: September 2023

Abstract
Objective The aim of this retrospective multicenter study was to investigate whether poodles were overrepresented in a cohort of dogs with medial shoulder instability (MSI), and to compare the incidence of spontaneous (nontraumatic) MSI and treatment outcome in poodles and non-poodle dogs.
Study Design Medical records (2009–2019) of dogs with MSI from five surgical referral centers were reviewed.
Results Forty-eight dogs with confirmed MSI were enrolled; 17 (35%) of which were poodles and 31 (65%) were of other breeds (including 11 [23%] poodle crossbreeds). Poodles were more than 10 times overrepresented in the MSI populations (p < 0.0001) compared with other breeds. MSI occurred spontaneously in 82% of poodles and 52% of non-poodles; the odds of presenting with spontaneous MSI for poodles were four times greater than that for non-poodle breeds. There were no differences in terms of treatments and outcomes.
Conclusion Poodles were significantly overrepresented in the cohort of dogs presenting with MSI and were more likely to have spontaneous rather than traumatic MSI.
Congenital Bleeding Disorders and COVID-19—A Systematic Literature Review
Authors: Dorgalaleh Akbar , Safdari Seyed Mehrab , Tabibian Shadi , Shams Mahmood , Dabbagh Ali , Rezazadeh Azadeh 
Published: September 2023

AbstractHypercoagulability is a prominent feature of coronavirus disease 2019 (COVID-19) and can lead to fatal consequences. Although the impact of COVID-19 on several disorders is well-established, its effect on congenital bleeding disorders (CBDs) is not well-documented. To address this ambiguity, a systematic review was conducted on the available studies to determine the impact of COVID-19 and vaccination aimed to prevent COVID-19 on patients with CBDs. We performed a systematic literature review using relevant keywords and followed the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) protocol. We conducted our search on the PubMed, Scopus, and Web of Science databases until July 2023. Out of 31 included studies, 12 case series covering 770 patients with CBD and COVID-19 were further analyzed. The majority of the patients had hemophilia A (n = 352, ∼46%) or hemophilia B (n = 74, ∼10%), while the remaining patients had von Willebrand disease (n = 43, 5.6%) or rare bleeding disorders (n = 27, 3.5%). A total of 25 deaths (3.2%) and 22 intensive care unit admissions (2.8%) were recorded. Bleeding complications were reported in the majority of the 12 case series (n = 7, 58.3%) and in most of the case reports (n = 8, ∼57%), while thrombotic complications were only reported in two studies (16.6%). The mortality rate ranged from 0% in five studies (41.6%) to 5.7% and the rate of hospitalization ranged from 0 to 40%. Bleeding complications were reported in a range of 0 to 81%, while the thrombotic complication rate in one study was 6.9%. The mortality rate varied from 0 to 5.7%, and the hospitalization rate ranged from 0 to 40%. Bleeding complications were reported in a range of 0 to 81%, while the rate of thrombotic complications in one study was 6.9%. Vaccination was reported in five case series, which included 821 patients with CBDs with the majority having hemophilia A (n = 479; 67.2%) and hemophilia B (n = 85; ∼12%). The most frequently reported side effects were myalgia (6.5%), flu-like symptoms (4.8%), fever (4.7%), and headache (4%). COVID-19 in patients with CBDs appears to provoke thrombotic complications and bleeding events more frequently, as well as a higher rate of hospitalization, which may be partially due to the increased risk of bleeding events. Although it seems that patients with CBD have lower mortality rates, further studies are necessary to fully understand this, especially considering comorbidities and low number of available studies.
Neurocognitive Functioning of Patients with Sinonasal and Nasopharyngeal Cancers Treated With Multimodality Therapy
Authors: Yaniv Dan , Niccolai Lindsay M. , Wefel Jeffrey S. , Sullaway Catherine M. , Phan Jack , Fuller Clifton David , Haroun Kareem B. , Hanna Ehab Y. , Su Shirley Y. 
Published: September 2023

Abstract
Importance Few recent studies have examined neurocognitive functioning (NCF) in patients with sinonasal and nasopharyngeal cancers (NPCs) prior to and following multimodality therapy or the potential differences in NCF by disease variables such as disease site.
Objective The objective of this study is to determine rates of NCF impairments prior to and following multimodality therapy, declines in NCF following radiotherapy (RT), and possible differences in NCF by the disease site.
Design, Setting, and Participants We conducted a retrospective chart review of 39 patients with sinonasal and NPCs who underwent comprehensive neuropsychological evaluations. Twenty patients were evaluated prior to RT, of which eleven received follow-up evaluation after completion of RT. Nineteen patients were evaluated following various treatments without a pre-RT evaluation.
Main Outcomes and Measures Patients completed comprehensive neuropsychological evaluations. Decline from pre-RT to follow-up was defined on the basis of reliable change indices.
Results Thirty-nine patients completed comprehensive neuropsychological evaluations. For the entire cohort, the most frequently demonstrated impairments were in verbal memory (47%) and learning (43%), executive functioning (33%), and verbal fluency (22%). At post-RT follow-up, the most frequently observed declines were in verbal learning (46%) and memory (18%). Demographic and disease variables were not significantly associated with NCF at pre-RT or post-RT.
Conclusion and Relevance Patients with sinonasal and NPCs are at risk for NCF impairments in multiple areas at baseline and memory decline following RT. Future prospective studies are needed to investigate the impact of each treatment modality on NCF and specific risk factors for cognitive dysfunction.