bluuebunny/crossref_metadata_2025_split huggingface dataset:
Gossea Spence Bate & Westwood, 1862 (Amphipoda) and Gossea Agassiz, 1862 (Cnidaria, Hydrozoa): reversal of presumed precedence and review of the complicated nomenclatural history
Authors: Boyko Christopher B. , De Grave Sammy 
Published: August 2023

Abstract
Gossea Agassiz, 1862 (Cnidaria: Hydrozoa) and Gossea Spence Bate & Westwood, 1862 (Crustacea: Amphipoda) are homonyms and Agassiz’s genus has long been considered the senior name. Discovery of copyright information for Agassiz’s book shows that the presumed order of precedence is incorrect and that Spence Bate & Westwood’s genus name is the senior homonym. A detailed history of both genera is given with the recognition that Apherusa Walker, 1891 is an unnecessary replacement name for Gossea Spence Bate & Westwood, 1862 and that Octobulbacea Zamponi, 1983, as the only available junior synonym, is the name that should be used for Gossea Agassiz, 1862.
Machine Learning–Adjusted WRF Forecasts to Support Wind Energy Needs in Black Start Operations
Authors: Hugeback Kyle K. , Gallus William A. , Villegas Pico Hugo N. 
Published: August 2023

Abstract
The push for increased capacity of renewable sources of electricity has led to the growth of wind-power generation, with a need for accurate forecasts of winds at hub height. Forecasts for these levels were uncommon until recently, and that, combined with the nocturnal collapse of the well-mixed boundary layer and daytime growth of the boundary layer through the levels important for energy generation, has contributed to errors in numerical modeling of wind generation resources. The present study explores several machine learning algorithms to both forecast and correct standard WRF Model forecasts of winds and temperature at hub height within wind turbine plants over several different time periods that are critical for the anticipation of potential blackouts and aiding in black start operations on the power grid. It was found that mean square error for day-2 wind forecasts from the WRF Model can be improved by over 90% with the use of a multioutput neural network, and that 60-min forecasts of WRF error, which can then be used to adjust forecasts, can be made with an LSTM with great accuracy. Nowcasting of temperature and wind speed over a 10-min period using an LSTM produced very low error and especially skillful forecasts of maximum and minimum values over the turbine plant area.
Arthroscopic Repair of an Anteroinferior Capsular Tear in the Shoulder of a Throwing Athlete
Authors: Moran Thomas E. , McGuire Brian , Gwathmey F. Winston 
Published: August 2023

Background: Anterior capsular tears are often associated with traumatic glenohumeral instability episodes; however, there are not many previous descriptions in the literature without occurrence of frank dislocation. This video will discuss the presentation of a throwing athlete with an anteroinferior capsular tear in his dominant shoulder who underwent successful arthroscopic repair. Indications: Based on the patient's clinical symptoms, magnetic resonance imaging arthrogram findings, and failure to return to play despite attempts at conservative management, he was determined to be a candidate for arthroscopic repair. Technique Description: Arthroscopic repair consisted of reapproximation of the avulsed capsular tissue to its attachment point medially using suture anchors in the glenoid and a side-to-side repair of the mid-substance extension of the capsular split. Results: Arthroscopic repair of the anteroinferior capsular tear allowed the patient to return to his previous level of sport. Discussion/Conclusion: In the present case and a previous case series, surgical repair of anterior capsular tears, whether arthroscopic or open, can yield good results in throwing athletes aiming to return to prior levels of performance. Patient Consent Disclosure Statement: The author(s) attests that consent has been obtained from any patient(s) appearing in this publication. If the individual may be identifiable, the author(s) has included a statement of release or other written form of approval from the patient(s) with this submission for publication.
High pressure facilitates delignification of Japanese cedar in supercritical methanol
Authors: Yilin Yao , Minami Eiji , Kawamoto Haruo 
Published: August 2023

AbstractSupercritical methanol is a tool for decomposing woody biomass and dissolving the products under relatively mild conditions. Thus, the use of supercritical methanol—in combination with catalytic hydrogenolysis—in industrial production of biochemicals has been widely studied. However, the contribution of specific methanol properties to wood decomposition remains unclear. In this study, the effect of the pressure on the decomposition of Japanese cedar in supercritical methanol was investigated in a semi-flow reactor. Delignification progressed better at higher pressure, attributable to the ability of methanol to dissolve high molecular weight, lignin-derived oligomers at high pressure. This solubility was strongly correlated with the methanol density. Methanol pressure also affected the product yields, with higher pressure resulting in higher coniferyl alcohol and sugar yields. This is attributable to the fact that the higher pressure facilitated rapid dissolution of the decomposition products and recovery from cell walls, protecting the products from further degradation. The findings of this study will contribute to the establishment of supercritical methanol in industrial production of biochemicals.
Genome-wide identification and expression analysis of Dmrt genes in bivalves
Authors: Wang Quanchao , Cao Tiangui , Wang Chunde 
Published: August 2023

AbstractIn recent years, some common themes in the development of sex-specific traits in different animal lineages have started to emerge since the discovery of the Dmrt (doublesex-mab3-related transcription factor gene) genes. Bivalves are characterized by a diversity of sexual systems, including simultaneous hermaphroditism, sequential hermaphroditism, and strict gonochorism. However, to date, no research has focused on the genome-wide characterization and analysis of Dmrt genes in bivalves. In this study, the identification and analysis of Dmrt genes in 15 bivalves were performed using bioinformatics methods. A total of 55 Dmrt genes were retrieved in the studied bivalve genomes. The number of Dmrt genes in different species ranged from 3 to 5. The phylogenetic tree showed that Dmrt genes in bivalves can be subdivided into 5 classes: the Dmrt2-like class, Dmrt3-like class, Dmrt4/5-like class, Dsx-like class, and scallop-specific Dmrt class. The Ka/Ks ratios suggested that all Dmrt classes underwent purifying selection pressure. Furthermore, the spatiotemporal expression of Dmrt genes in four bivalve species suggested that different Dmrt genes may have different functions, and scallop-specific Dmrt genes may play a key role in sex determination/differentiation. In general, this study provides a molecular basis for in-depth examination of the functions of Dmrt genes and phylogenomic analyses in bivalves.
Management and follow-up of uveal effusion syndrome: a case report
Authors: Gao Yane , Wu Qiuxin , Xu Jing , Tian Qingmei , Xie Xiaofeng , Du Xiujuan , Bi Hongsheng 
Published: August 2023

Abstract
Background
We present the management and follow-up of a case of uveal effusion syndrome (UES).

Case presentation
We study the relevant recent literature reports and review the aetiology, clinical classification, pathogenesis, diagnostic characteristics, treatment methods, and prognosis of this disease. When we encounter UES patients clinically, we can classify them according to their clinical characteristics and adopt different treatment plans for different types. The retina of this patient reattached 5 months after receiving eight periocular injections of triamcinolone acetonide (TA).

Conclusions
For type III UES patients, local hormone therapy can be applied, and follow-up should be done to optimize the clinical outcome.
Protocol for the development of joint attention-based subclassification of autism spectrum disorder and validation using multi-modal data
Authors: Ko Chanyoung , Kang Soyeon , Hong Soon-Beom , Park Yu Rang 
Published: August 2023

Abstract
Background
Heterogeneity in clinical manifestation and underlying neuro-biological mechanisms are major obstacles to providing personalized interventions for individuals with autism spectrum disorder (ASD). Despite various efforts to unify disparate data modalities and machine learning techniques for subclassification, replicable ASD clusters remain elusive. Our study aims to introduce a novel method, utilizing the objective behavioral biomarker of gaze patterns during joint attention, to subclassify ASD. We will assess whether behavior-based subgrouping yields clinically, genetically, and neurologically distinct ASD groups.

Methods
We propose a study involving 60 individuals with ASD recruited from a specialized psychiatric clinic to perform joint attention tasks. Through the examination of gaze patterns in social contexts, we will conduct a semi-supervised clustering analysis, yielding two primary clusters: good gaze response group and poor gaze response group. Subsequent comparison will occur across these clusters, scrutinizing neuroanatomical structure and connectivity using structural as well as functional brain imaging studies, genetic predisposition through single nucleotide polymorphism data, and assorted socio-demographic and clinical information.

Conclusions
The aim of the study is to investigate the discriminative properties and the validity of the joint attention-based subclassification of ASD using multi-modality data.

Trial registration
Clinical trial, KCT0008530, Registered 16 June 2023, https://cris.nih.go.kr/cris/index/index.do.
Study on the daily dose and serum concentration of clozapine in psychiatric patients and possible influencing factors of serum concentration
Authors: Liu Taixiu , Gao Peng , Xie Chuange , Zhang Heng , Shi Zheng , Chen Ruirui 
Published: August 2023

Abstract
Background
Clozapine is the most effective drug for treatment-resistant schizophrenia, and the dosage and concentration of clozapine in the treatment of mental illness vary greatly in different populations and are affected by many factors.

Methods
The serum clozapine concentration of 3734 psychiatric patients was detected, and data on daily dose, sex, age and other medical records were collected for statistical analysis.

Results
The mean daily dose, mean serum concentration and mean C/D (concentration/dose) ratio of clozapine were 191.02 ± 113.47 mg/day, 326.15 ± 235.66 ng/mL and 1.94 ± 1.25 ng/mL per mg/day, respectively. There was difference in daily dose between sexes, and females had higher daily dose (p <0.01), higher serum clozapine concentrations (p < 0.01) and higher C/D ratios (p < 0.01). There were significant differences in daily dose (p < 0.001), serum drug concentration (p < 0.001) and C/D ratio (p < 0.001) among different age groups. The daily dose decreased with age (p for trend < 0.001), and the C/D ratio increased with age (p for trend < 0.001). Inpatients and outpatients had no difference in daily dose, but inpatients had higher serum concentration (p < 0.001) and C/D ratio (p < 0.001). There was no difference in daily dose among different occupations, but there were significant differences in serum concentration (p < 0.001) and C/D ratio (p < 0.001), and unemployed patients may have higher serum concentration and C/D ratio. Duration of disease, comorbidity, marital status, and psychotic type may influence the daily dose and serum concentration.

Conclusions
The effective daily dose and serum concentration of clozapine in the study area may be lower than recommended levels, and women have higher serum concentrations and slower metabolic rates. With increasing age, the daily dose decreases, and the metabolic rate slows. Inpatient status and occupation of patients may influence the serum concentration and metabolic rate of clozapine.
“It’s ok that I feel like this”: a qualitative study of adolescents’ and parents’ experiences of facilitators, mechanisms of change and outcomes in a joint emotion regulation group skills training
Authors: Holmqvist Larsson K , Thunberg M , Münger A-C , Andersson G , Falkenström F , Zetterqvist M 
Published: August 2023

AbstractBackgroundEmotion regulation difficulties underlie several psychiatric conditions, and treatments that focus on improving emotion regulation can have an effect on a broad range of symptoms. However, participants’ in-depth experiences of participating in emotion regulation treatments have not been much studied. In this qualitative study, we investigated participants’ experiences of a joint emotion regulation group skills training in a child and adolescent psychiatric outpatient setting.MethodsTwenty-one participants (10 adolescents and 11 parents) were interviewed about their experiences after they had participated in a seven-session transdiagnostic emotion regulation skills training for adolescents and parents. The aim of the skills training was to decrease emotion regulation difficulties, increase emotional awareness, reduce psychiatric symptoms, and enhance quality of life. The skills training consisted of psychoeducation about emotions and skills for regulating emotions. The interviews were transcribed and analysed using reflexive thematic analysis.ResultsThe analysis resulted in three overarching themes: Parent – Child processes, Individual processes, and Group processes. The result showed that participants considered an improved parent-child relationship to be the main outcome. Increased knowledge, emotion regulation skills and behavioural change were conceptualised as both mechanisms of change and outcomes. The group format, and the fact that parents and adolescents participated together, were seen as facilitators. Furthermore, the participants experienced targeting emotions in skills training as meaningful and helpful.ConclusionThe results highlight the potential benefits of providing emotion regulation skills training for adolescents and parents together in a group format to improve the parent-child relationship and enable the opportunity to learn skills.
Assessing self-stigma levels and associated factors among substance use disorder patients at two selected psychiatric hospitals in Egypt: a cross-sectional study
Authors: Elkalla Ibrahem Hamdey Rashed , El-Gilany Abdel-Hady , Baklola Mohamed , Terra Mohamed , Aboeldahab Mostafa , Sayed Samir El , ElWasify Mohammed 
Published: August 2023

Abstract
Background
Substance use disorder is a growing problem worldwide, and the stigma associated with it remains a significant barrier to treatment and recovery. This study aimed to assess the perceived stigma among individuals with substance use disorders and its correlation with their socio-demographic characteristics and clinical history Parameters.

Methods
A cross-sectional study was conducted among 552 patients with substance use disorders admitted to the outpatient clinics of Mansoura University Hospital, Addiction Treatment Unit of the Psychiatry Department, and Port Said Mental Hospital, Addiction Department. Participants completed a self-administered questionnaire, which included demographic information, clinical history parameters, and the Perceived Stigma of Substance Abuse Scale (PSAS).

Results
The study found that almost half of the participants were aged 29 or younger, married, and had a median stigma score of 20. The vast majority of participants were male, had no previous legal problems, and had a median stigma score of 19. The most common type of substance used was opioids, and more than half of the participants were still using drugs. The highest mean stigma scores were for the items “Most people think less of a person who has been in treatment for substance use” and “Most employers will pass over the application of someone who has been treated for substance use in favor of another applicant.“ The perceived stigma score was significantly correlated with the severity of use but not with age or duration of use.

Conclusion
Our study investigates self-stigma in substance use disorder (SUD), revealing its variance across demographics and clinical groups. We found that self-stigma correlates with use severity and possibly decreases with abstinence. Notably, societal bias contributes significantly to self-stigma, necessitating societal interventions. The impact of self-stigma on patient well-being highlights the need for personalized treatments and stigma reduction strategies.
Improved outcome in penile cancer with radiologically enhanced stratification protocol for lymph node staging procedures: a study in 316 inguinal basins with a mean follow-up of 5 years
Authors: Kumar Vivekanandan , Kumar Prakrit R , Juette Arne , Pawaroo Davina , Ball Richard Y , Sethia Krishna K 
Published: August 2023

Abstract
Background
Lymph node metastasis is the main determinant of survival in penile cancer patients. Conventionally clinical palpability is used to stratify patients to Inguinal Lymph node dissection (ILND) if clinically node positive (cN +) or Dynamic sentinel node biopsy (DSNB) if clinically node negative (cN0). Studies suggest a false negative rate (FNR) of around 10% (5–13%) for DSNB. To our knowledge there are no studies reporting harder end point of survival and outcomes of all clinically node positive (cN +) patients. We present our outcome data of all patients with penile cancer including false negative rates and survival in both DSNB and ILND groups.

Methods
One hundred fifty-eight consecutive patients (316 inguinal basins), who had lymph node surgery for penile cancer in a tertiary referral centre from Jan 2008 to 2018, were included in the study. All patients underwent ultrasound (US) ± fine needle aspiration cytology (FNAC) and then MRI/ CT, if needed, to stage their disease. We used combined clinical and radiological criteria (node size, architecture loss, irregular margins) to stratify patients to DSNB vs ILND as opposed to clinical palpability alone.

Results
11.2% i.e., 27/241 inguinal basins had lymph node positive disease by DSNB. 54.9% i.e., 39/71 inguinal basins (IBs) had lymph node-positive disease by ILND. 4 inguinal basins with no tracer uptake in sentinel node scans are being monitored at patient’s request and have not had any recurrences to date.
With a mean follow-up of 65 months (range 24–150), the false-negative rate (FNR) for DSNB is 0%. Judicious uses of cross-sectional imaging necessitated ILND in 2 inguinal basins with non-palpable nodes and negative US with false positive rate of 6.3% (2/32) for ILND. The same cohort of DSNB patients might have had 11.1% (3/27) FNR if only palpability criteria was used. 43 (28%) patients who did require cross sectional imaging as per our criteria had a low node positive rate of 4.7% (p = 0.03). Mean cancer specific survival of all node-positive patients was 105 months.

Conclusion
The performance of DSNB improved with enhanced radiological stratification of patients to either DSNB or ILND. We for the first time report the comprehensive outcome of all lymph node staging procedures in penile cancer.
Prediction of 5-year overall survival of tongue cancer based machine learning
Authors: Li Liangbo , Pu Cheng , Jin Nenghao , Zhu Liang , Hu Yanchun , Cascone Piero , Tao Ye , Zhang Haizhong 
Published: August 2023

Abstract
Objective
We aimed to develop a 5-year overall survival prediction model for patients with oral tongue squamous cell carcinoma based on machine learning methods.

Subjects and methods
The data were obtained from electronic medical records of 224 OTSCC patients at the PLA General Hospital. A five-year overall survival prediction model was constructed using logistic regression, Support Vector Machines, Decision Tree, Random Forest, Extreme Gradient Boosting, and Light Gradient Boosting Machine. Model performance was evaluated according to the area under the curve (AUC) of the receiver operating characteristic curve. The output of the optimal model was explained using the Python package (SHapley Additive exPlanations, SHAP).

Results
After passing through the grid search and secondary modeling, the Light Gradient Boosting Machine was the best prediction model (AUC = 0.860). As explained by SHapley Additive exPlanations, N-stage, age, systemic inflammation response index, positive lymph nodes, plasma fibrinogen, lymphocyte-to-monocyte ratio, neutrophil percentage, and T-stage could perform a 5-year overall survival prediction for OTSCC. The 5-year survival rate was 42%.

Conclusion
The Light Gradient Boosting Machine prediction model predicted 5-year overall survival in OTSCC patients, and this predictive tool has potential prognostic implications for patients with OTSCC.
Influence of high-irradiance light curing on the marginal integrity of composite restorations in primary teeth
Authors: Frank Janina , Tauböck Tobias T. , Zimmermann Marcus , Attin Thomas , Hamza Blend 
Published: August 2023

Abstract
Background
Reducing the necessary time to restore primary teeth improves the cooperation of paediatric patients. This study aimed to investigate the marginal integrity of restorations prepared with a bulk-fill resin-based composite (RBC) containing additional fragmentation chain transfer (AFCT) compared to a conventional RBC when light cured with a rapid high-irradiance (3 s) and a regular (10 s) curing mode.

Methods
Forty class-II cavities were prepared in 40 primary molars. The molars were randomly divided into four groups based on the applied light-curing modes (regular: 10 s @ 1200 mW/cm2 or high-irradiance: 3 s @ 3000 mW/cm2) and the used restorative material (AFCT-containing bulk-fill RBC “Power Fill” or AFCT-free conventional RBC “Prime”). After thermo-mechanical loading, the marginal integrity was analysed using scanning electron microscopy. A beta regression model and pairwise comparisons were used to statistically analyse the data.

Results
The mean marginal integrity (% ± SD) of the restorations for each group was as follows: Power Fill (10 s: 79.7 ± 15.6) (3 s: 77.6 ± 11.3), Prime (10 s: 69.7 ± 11.1) (3 s: 75.0 ± 9.7). The difference between the RBCs for the same light-curing mode was statistically significant (p ≤ 0.05). The difference between the light-curing modes for the same RBC was not statistically significant (p ˃ 0.5).

Conclusions
AFCT-containing bulk-fill RBC “Power Fill” achieves similar marginal integrity when light-cured with either high-irradiance or regular light-curing modes. “Power Fill” achieves better marginal integrity than the conventional RBC “Prime” regardless of the applied light-curing mode.