bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Association Between Sleep Disturbance and Suicidality in Psychiatric Inpatients Transitioning to the Community: Protocol for an Ecological Momentary Assessment Study
Authors: Dewa Lindsay H , Pappa Sofia , Greene Talya , Cooke James , Mitchell Lizzie , Hadley Molly , Di Simplicio Martina , Woodcock Thomas , Aylin Paul 
Published: April 2022

BackgroundPatients are at high risk of suicidal behavior and death by suicide immediately following discharge from inpatient psychiatric hospitals. Furthermore, there is a high prevalence of sleep problems in inpatient settings, which is associated with worse outcomes following hospitalization. However, it is unknown whether poor sleep is associated with suicidality following initial hospital discharge.ObjectiveOur study objective is to describe a protocol for an ecological momentary assessment (EMA) study that aims to examine the relationship between sleep and suicidality in discharged patients.MethodsOur study will use an EMA design based on a wearable device to examine the sleep-suicide relationship during the transition from acute inpatient care to the community. Prospectively discharged inpatients 18 to 35 years old with mental disorders (N=50) will be assessed for eligibility and recruited across 2 sites. Data on suicidal ideation, behavior, and imagery; nonsuicidal self-harm and imagery; defeat, entrapment, and hopelessness; affect; and sleep will be collected on the Pro-Diary V wrist-worn electronic watch for up to 14 days. Objective sleep and daytime activity will be measured using the inbuilt MotionWare software. Questionnaires will be administered face-to-face at baseline and follow up, and data will also be collected on the acceptability and feasibility of using the Pro-Diary V watch to monitor the transition following discharge. The study has been, and will continue to be, coproduced with young people with experience of being in an inpatient setting and suicidality.ResultsSouth Birmingham Research Ethics Committee (21/WM/0128) approved the study on June 28, 2021. We expect to see a relationship between poor sleep and postdischarge suicidality. Results will be available in 2022.ConclusionsThis protocol describes the first coproduced EMA study to examine the relationship between sleep and suicidality and to apply the integrated motivational volitional model in young patients transitioning from a psychiatric hospital to the community. We expect our findings will inform coproduction in suicidology research and clarify the role of digital monitoring of suicidality and sleep before and after initial hospital discharge.International Registered Report Identifier (IRRID)PRR1-10.2196/33817
Estimating COVID-19 Hospitalizations in the United States With Surveillance Data Using a Bayesian Hierarchical Model: Modeling Study
Authors: Couture Alexia , Iuliano A Danielle , Chang Howard H , Patel Neha N , Gilmer Matthew , Steele Molly , Havers Fiona P , Whitaker Michael , Reed Carrie 
Published: April 2022

BackgroundIn the United States, COVID-19 is a nationally notifiable disease, meaning cases and hospitalizations are reported by states to the Centers for Disease Control and Prevention (CDC). Identifying and reporting every case from every facility in the United States may not be feasible in the long term. Creating sustainable methods for estimating the burden of COVID-19 from established sentinel surveillance systems is becoming more important.ObjectiveWe aimed to provide a method leveraging surveillance data to create a long-term solution to estimate monthly rates of hospitalizations for COVID-19.MethodsWe estimated monthly hospitalization rates for COVID-19 from May 2020 through April 2021 for the 50 states using surveillance data from the COVID-19-Associated Hospitalization Surveillance Network (COVID-NET) and a Bayesian hierarchical model for extrapolation. Hospitalization rates were calculated from patients hospitalized with a lab-confirmed SARS-CoV-2 test during or within 14 days before admission. We created a model for 6 age groups (0-17, 18-49, 50-64, 65-74, 75-84, and ≥85 years) separately. We identified covariates from multiple data sources that varied by age, state, and month and performed covariate selection for each age group based on 2 methods, Least Absolute Shrinkage and Selection Operator (LASSO) and spike and slab selection methods. We validated our method by checking the sensitivity of model estimates to covariate selection and model extrapolation as well as comparing our results to external data.ResultsWe estimated 3,583,100 (90% credible interval [CrI] 3,250,500-3,945,400) hospitalizations for a cumulative incidence of 1093.9 (992.4-1204.6) hospitalizations per 100,000 population with COVID-19 in the United States from May 2020 through April 2021. Cumulative incidence varied from 359 to 1856 per 100,000 between states. The age group with the highest cumulative incidence was those aged ≥85 years (5575.6; 90% CrI 5066.4-6133.7). The monthly hospitalization rate was highest in December (183.7; 90% CrI 154.3-217.4). Our monthly estimates by state showed variations in magnitudes of peak rates, number of peaks, and timing of peaks between states.ConclusionsOur novel approach to estimate hospitalizations for COVID-19 has potential to provide sustainable estimates for monitoring COVID-19 burden as well as a flexible framework leveraging surveillance data.
Multi-Label Classification in Patient-Doctor Dialogues With the RoBERTa-WWM-ext + CNN (Robustly Optimized Bidirectional Encoder Representations From Transformers Pretraining Approach With Whole Word Masking Extended Combining a Convolutional Neural Network) Model: Named Entity Study
Authors: Sun Yuanyuan , Gao Dongping , Shen Xifeng , Li Meiting , Nan Jiale , Zhang Weining 
Published: April 2022

Background
With the prevalence of online consultation, many patient-doctor dialogues have accumulated, which, in an authentic language environment, are of significant value to the research and development of intelligent question answering and automated triage in recent natural language processing studies.

Objective
The purpose of this study was to design a front-end task module for the network inquiry of intelligent medical services. Through the study of automatic labeling of real doctor-patient dialogue text on the internet, a method of identifying the negative and positive entities of dialogues with higher accuracy has been explored.

Methods
The data set used for this study was from the Spring Rain Doctor internet online consultation, which was downloaded from the official data set of Alibaba Tianchi Lab. We proposed a composite abutting joint model, which was able to automatically classify the types of clinical finding entities into the following 4 attributes: positive, negative, other, and empty. We adapted a downstream architecture in Chinese Robustly Optimized Bidirectional Encoder Representations from Transformers Pretraining Approach (RoBERTa) with whole word masking (WWM) extended (RoBERTa-WWM-ext) combining a text convolutional neural network (CNN). We used RoBERTa-WWM-ext to express sentence semantics as a text vector and then extracted the local features of the sentence through the CNN, which was our new fusion model. To verify its knowledge learning ability, we chose Enhanced Representation through Knowledge Integration (ERNIE), original Bidirectional Encoder Representations from Transformers (BERT), and Chinese BERT with WWM to perform the same task, and then compared the results. Precision, recall, and macro-F1 were used to evaluate the performance of the methods.

Results
We found that the ERNIE model, which was trained with a large Chinese corpus, had a total score (macro-F1) of 65.78290014, while BERT and BERT-WWM had scores of 53.18247117 and 69.2795315, respectively. Our composite abutting joint model (RoBERTa-WWM-ext + CNN) had a macro-F1 value of 70.55936311, showing that our model outperformed the other models in the task.

Conclusions
The accuracy of the original model can be greatly improved by giving priority to WWM and replacing the word-based mask with unit to classify and label medical entities. Better results can be obtained by effectively optimizing the downstream tasks of the model and the integration of multiple models later on. The study findings contribute to the translation of online consultation information into machine-readable information.
The Need for Standards Unification in Forensic Laboratory Practices: Protocol for Setting Up the Arab Forensic Laboratories Accreditation Center
Authors: AlMazroua Maha K , Mahmoud Naglaa F 
Published: April 2022

Background
Despite the recent trend toward developing and applying quality control measures in the forensic science disciplines, there is a heightened interest to efforts to ameliorate disparate quality among laboratories through the enforcement of standards and best practices.

Objective
This protocol aims to set up the Arab Forensic Laboratories Accreditation Center (AFLAC) to act as a key driving legal force for accreditation of the different forensic laboratories in the Arab region.

Methods
Upon its development, the Forensic Laboratory-Arabian Gate (FLAG) platform will serve as a preliminary stage for the AFLAC, and 2 preparatory steps will be achieved through the FLAG platform: the first one is a scoping study to analyze the international guidelines regarding the forensic laboratory practices in different specialties, and the second one is mapping surveys to explore how the international and national guidelines are translated into practice in Arab forensic laboratories. Development of the Arab forensic laboratories accreditation center will be initiated by building the AFLAC quality management system, which comprises formation of the forensic science committees to achieve the standards required for accreditation in each discipline. This will be followed by the attainment of regional accreditation recognition of the Arab Accreditation Cooperation (ARAC) and the International Laboratory Accreditation Cooperation. This recognition necessitates achieving International Organization for Standardization/International Electrotechnical Commission 17011 standard requirements prior to official application to the ARAC.

Results
The first phase of our work (the FLAG platform) began in February 2022 and is expected to end in December 2022. The FLAG platform was proposed to the Arab Society of Forensic Sciences and Forensic Medicine in March 2022, and we received approval to host this web development project. Subsequent phases are anticipated to begin in January 2023 and are expected to end in 2025.

Conclusions
This work describes our approach to provide a valuable tool for forensic laboratory accreditation services to promote the best practice and its consistency in the field of forensic sciences in the Arab region.

International Registered Report Identifier (IRRID)
PRR1-10.2196/36778
Noninvasive Diagnosis of Nonalcoholic Steatohepatitis and Advanced Liver Fibrosis Using Machine Learning Methods: Comparative Study With Existing Quantitative Risk Scores
Authors: Wu Yonghui , Yang Xi , Morris Heather L , Gurka Matthew J , Shenkman Elizabeth A , Cusi Kenneth , Bril Fernando , Donahoo William T 
Published: April 2022

Background
Nonalcoholic steatohepatitis (NASH), advanced fibrosis, and subsequent cirrhosis and hepatocellular carcinoma are becoming the most common etiology for liver failure and liver transplantation; however, they can only be diagnosed at these potentially reversible stages with a liver biopsy, which is associated with various complications and high expenses. Knowing the difference between the more benign isolated steatosis and the more severe NASH and cirrhosis informs the physician regarding the need for more aggressive management.

Objective
We intend to explore the feasibility of using machine learning methods for noninvasive diagnosis of NASH and advanced liver fibrosis and compare machine learning methods with existing quantitative risk scores.

Methods
We conducted a retrospective analysis of clinical data from a cohort of 492 patients with biopsy-proven nonalcoholic fatty liver disease (NAFLD), NASH, or advanced fibrosis. We systematically compared 5 widely used machine learning algorithms for the prediction of NAFLD, NASH, and fibrosis using 2 variable encoding strategies. Then, we compared the machine learning methods with 3 existing quantitative scores and identified the important features for prediction using the SHapley Additive exPlanations method.

Results
The best machine learning method, gradient boosting (GB), achieved the best area under the curve scores of 0.9043, 0.8166, and 0.8360 for NAFLD, NASH, and advanced fibrosis, respectively. GB also outperformed 3 existing risk scores for fibrosis. Among the variables, alanine aminotransferase (ALT), triglyceride (TG), and BMI were the important risk factors for the prediction of NAFLD, whereas aspartate transaminase (AST), ALT, and TG were the important variables for the prediction of NASH, and AST, hyperglycemia (A1c), and high-density lipoprotein were the important variables for predicting advanced fibrosis.

Conclusions
It is feasible to use machine learning methods for predicting NAFLD, NASH, and advanced fibrosis using routine clinical data, which potentially can be used to better identify patients who still need liver biopsy. Additionally, understanding the relative importance and differences in predictors could lead to improved understanding of the disease process as well as support for identifying novel treatment options.
Varieties of Shame Experience in Psychotherapy
Authors: GREENBERG LESLIE S. , PAIVIO SANDRA C. 
Published: April 2022

Abstract
Shame appears in a variety of forms and in different states of mind. Different forms of shame, such as adaptive shame at violating internal standards, maladaptive internalized shame from being treated as lacking in human value, and secondary shame about one's feelings or impulses, all require different forms of intervention. We argue for the importance of a differential treatment perspective in working with shame and all emotions. The transcript of an episode of working with shame from abuse is presented as an example of one form of work with shame.
Shame as a Normal and Sometimes Dysfunctional Experience: A Response to the Articles by Leslie S. Greenberg/Sandra C. Paivio and Gordon Wheeler on Shame
Authors: FUHR REINHARD , GREMMLER-FUHR MARTINA 
Published: April 2022

AbstractIn this article, we first reconstruct Greenberg and Paivio's and Wheeler's conceptualizations of shame. Possible additions and modifications to these authors' conceptualizations are then suggested, focusing on the importance of values and childhood experiences in generating shame. As far as Wheeler's position is concerned, we indicate some confusion and doubts about the utility of a radical constructivist view and a one-sided field approach to shame within the frame of a "new paradigm." At the end of the article, we indicate our own conceptualization of shame in theory and practice as a (sometimes necessary and functional) break of value orders of different scope. Last we discuss the protective functions of shame in therapy and in everyday life.
The Contributions of Paul Goodman to the Clinical, Social, and Political Implications of Boundary Disturbances
Authors: AYLWARD JACK 
Published: April 2022

Abstract
In this article the author looks at and goes beyond the clinical implications of contact boundary disturbances by examining the influence of Paul Goodman's social criticism and political thinking. Viewing the therapist as a revolutionary, Goodman saw therapeutic interventions as political acts, a view informed by his communitarian and anarchistic philosophies. In view of more modern developments in ecopsychology, the arena of contact boundary disturbances is expanded to include the organism's inherent connection to nature.
A Gestalt Approach to Working With the Person–Drug Relationship
Authors: WHITE J. RICHARD 
Published: April 2022

Abstract
Problematic drug use is a relational issue involving distinct boundary disturbances, fixed figures, and withdrawal delays that interfere with an efficient cycle of experiencing. The most direct and active approach to working with drug-dependent individuals involves re-formation, destruction, and/or integration of the figure of the drug effect itself. A description of this approach—utilizing illustrative stage-appropriate techniques—is offered.
Caracterización fisicoquímica de productos derivados de pescado
Authors: Carrera Quintana Silvia Cristina , Jiménez Perdomo Lilibeth , Jiménez Perdomo Lilibeth 
Published: April 2022

La salud, la nutrición y la comodidad son los principales factores que impulsan la industria alimentaria a nivel mundial. Los productos pesqueros han atraído una atención considerable como fuente de proteínas, vitaminas, minerales, grasas y ocupan el tercer lugar entre las categorías de alimentos consumidos a nivel mundial. La gama de productos pesqueros es muy grande e incluye alimentos preparados por un amplio espectro de métodos de tecnología de alimentos tradicionales y modernos. En el desarrollo de nuevos productos se deben conocer los parámetros que manejan los diferentes productos presentes en el mercado, al conocer la composición química de los productos comerciales, se pueden sentar las bases para la obtención de desarrollos innovadores con base en el pescado. Por tanto, el presente proyecto se dividió en dos partes, la primera consistió en la caracterización de los productos derivados del pescado presentes en supermercados y distribuidoras especializadas de la ciudad de Neiva. En la segunda parte, se realizó un análisis de los parámetros como la humedad, actividad de agua y el contenido de cloruros de cada producto seleccionado, que tenían en su composición la presencia de sal y/o humo. Con los datos obtenidos se realizó un análisis de varianza que arrojó como resultado que entre los productos analizados se presentaron diferencias estadísticamente signi
Diseño e implementación de rutas turísticas
Authors: Mora Cubillos Natalia 
Published: April 2022

El Departamento del Huila se ha caracterizado por la promoción de algunos destinos turísticos reconocidos a nivel mundial como son el Desierto de la Tatacoa y el Parque Arqueológico de San Agustín, sin embargo, en la zona centro del departamento existen una variedad de destinos naturales que requieren ser promocionados porque han mostrado tener un potencial turístico importante. Con el desarrollo de este proyecto se logró diseñar e implementar 12 rutas turísticas de las cuales 10 se encuentran validadas e implementadas por los mismos operadores de la zona, constituyéndose en una alternativa para quienes optan por realizar actividades que involucran elementos como la naturaleza, diversidad biológica, educación, concienciación, investigación, exhibicióny recreación. El desarrollo de estas rutas ha permitido la búsqueda de nuevos destinos por parte de los visitantes mejorando la actividad turística en la región.
Caracterización de las condiciones ergonómicas y de salud
Authors: Tilano Nader Alberto , Pérez Isaza Carmen Llanet , Duarte Clavijo Andrés F. 
Published: April 2022

Colombia es un país que se sustenta en el sector agropecuario, aporta un porcentaje del 25% en el PIB nacional. Las condiciones asociadas a la seguridad y salud en el trabajo y los hábitos de vida saludable, son inherentes a los accidentes y prevalencia de enfermedades tanto de origen común o laboral. El objetivo del artículo fue caracterizar las condiciones sociodemográ
Endoscopic Removal of Acute Traumatic Intracerebral Hemorrhage
Authors: Godkov I. M. , Talypov A. E. , Krylov V. V. , Grin A. A. , Dashyan V. G. , Savvin M. Yu. 
Published: April 2022

ABSTRACT Nowadays surgical treatment of patients with traumatic intracranial hematoma (TICH) and injuries of the brain is a very actual problem in neurosurgery.The purpose of this work was to assess of the feasibility and safety of minimally invasive endoscopic removal of TICH.MATERIAL AND METHODS In the period of 2010–2019, 2734 operations were performed on patients with traumatic brain injury in the Sklifosovsky Research Institute. There were 334 patients with TICH and the CC/BC foci, that made 12.2% of all patients. The median of hematoma volume, that did not cause a loss of consciousness was 48 cm2, and in most of the patients the hematoma volume ranged 30–35 cm2. Local fibrinolysis of TICH was performed in 14 patients with the hematoma volume of 30–50 cm2 without brain dislocation and not causing the consciousness depression more severe than sopor.Endoscopic removal of TICH was performed in 4 men at mean age of 54.8 years within 18–36 hours after trauma. Three patients had depression of consciousness to obtundation (14 by Glasgow Outcome Scale (GCS)), and one patient was in clear consciousness. The volume of the dense part of the contusion foci in the pole-basal regions of the frontal and temporal lobes was 24–40 cm3.RESULTS Among patients with TICH operated on by using the traditional technique, postoperative lethality was 13%, good outcomes were seen in 41%, and 46% had neurological disorders of varying severity. While treating the patients with TICH by using the local fibrinolysis method, 1 patient died after surgery, a good outcome was seen in 8 of 14 patients, and neurological disorders persisted in 3 patients in the postoperative period.Radicality of surgery in patients operated on by using endoscopic technique averaged 76% ranging from 41% to 91%. There were no complications during surgery nor in post-operative period. Patients were discharged from hospital after 8-21 days.
Intolerance to Early Nasogastric and Nasojejunal Enteral Nutrition in Patients with Moderately Severe Acute Pancreatitis
Authors: Sivkov A. O. , Sivkov O. G. , Leiderman I. N. , Zaitsev E. Yu. , Popov I. B. 
Published: April 2022

RELEVANCE Early enteral nutrition is an essential element of intensive care for acute pancreatitis. Its intolerance is manifested by high gastric residual volumes, pain syndrome, bloating, diarrhea, nausea and vomiting. The relevance of our study is determined by the lack of information on how the routes of nutrient delivery affect its tolerability considering the gradual «as­per­protocol» increase in nutrition volumes for patients with moderately severe acute pancreatitis.THE AIM OF THE STUDY Was to identify the key factors that determine intolerance to early nasogastric and nasojejunal enteral feeding in ICU patients with the early phase of moderately severe acute pancreatitis.MATERIAL AND METHODS We conducted an open randomized controlled trial. Out of 64 patients with predicted severe course of acute pancreatitis, we identified a cohort with moderately severe acute pancreatitis, in which 17 (51.5%) patients received early enteral nutrition through a nasogastric tube, and 16 (48.5%) via an endoscopically placed nasojejunal tube. The criteria for nutrition intolerance were as follows: nasogastric tube discharge of more than 500±100 ml at a time or more than 500 ml/day in comparison with the enterally administered during this period, increased pain, bloating, diarrhea, nausea and vomiting. Using the method of logistic regression, indicators with prognostic significance were determined. The null hypothesis was rejected at p<0.05.RESULTS Regardless of the nutrition route, the progression of multiple organ failure increases the incidence of high gastric residual volumes (SOFA — OR (odds ratio) — 1.337, 95% CI (confidence interval) 1.001–1.787; p = 0.049). Pain syndrome is less common on the day of surgery (OR 0.258, 95% CI 0.110–0.606; p=0.002). Nasojejunal feeding was associated with a lower incidence of nausea and vomiting (OR 0.168, 95% CI 0.06–0.473; p=0.001), but with more diarrhea (OR 6.411, 95% CI 1.274–32.262; p=0.024).CONCLUSION The progression of multiple organ failure increases the incidence of high gastric residual volumes. The pain syndrome is less pronounced on the day of surgery and more intense in case of nasogastric nutrition. Postpyloric nutrition reduces the incidence of nausea and vomiting, but increases diarrhea.