bluuebunny/crossref_metadata_2025_split huggingface dataset:
Adolescent Mental Health in Post-Conflict Communities: Results from a Cross-Sectional Survey in Northern Uganda
Authors: Wipfli Heather , Guy Kyra , Kim Abigail , Tumuhimbise Peninah , Odur Kenneth 
Published: June 2023

Abstract
Background
In response to the call for greater attention to mental health challenges among youth in low-income post-conflict communities, a mixed-methods cross sectional survey was carried out in Lira District, Uganda in Spring 2022. The political history of Lira District, the epicenter of the decades long conflict between the Lord’s Resistance Army (LRA) and the Ugandan government, makes for an especially interesting case study of the political and social determinants of mental health on those directly impacted by conflict, and on children growing up in post-conflict communities.
Methods
The study evaluated the mental health of adolescents (14–17 years of age), along with their knowledge, attitudes, and beliefs about mental health conditions and their access to critical mental health services. Cross-sectional surveys were administered on households, and adolescents living in the homes, schools, and health care facilities within six parishes located in the Lira District of northern Uganda.
Results
The study found 66% of adolescents indicated poor well-being and possible symptoms of depression and 41% of adolescents reported at least 4 childhood trauma events. Over 35% reported feeling extremely sad and 60% reported feeling socially isolated during the COVID lockdowns that lasted from 2020 to 2021. Nearly half of the adolescents aged 13–17 surveyed (N = 306) believed that witchcraft caused mental health problems, while less than 20% believed that traumatic experiences could be a cause. 40% of respondents had no idea of where to seek mental health care, and few facilities had mental health services available.
Conclusions
The study results indicate that adolescents throughout the Lira District in northern Uganda suffer from poor mental health, low access to mental health services, and persistent myths that lead to stigma related to mental health conditions. Moreover, the study results point to multiple social and political determinates of mental health outcomes, including those directly linked to past armed conflict in the area, and the need for community-informed analyses and interventions to adequately address the causes of poor mental health in northern Uganda and beyond.
Perioperative predictive factors of failure to rescue following highly advanced hepatobiliary- pancreatic surgery
Authors: Fukada Masahiro , Murase Katsutoshi , Higashi Toshiya , Yasufuku Itaru , Sato Yuta , Tajima Jesse Yu , Kiyama Shigeru , Tanaka Yoshihiro , Okumura Naoki , Matsuhashi Nobuhisa 
Published: June 2023

Abstract
Background
Failure to rescue (FTR), defined as a postoperative complication leading to mortality, is a recently described outcome metric used to evaluate treatment quality. However, the predictive factors for FTR, particularly following highly advanced hepatobiliary-pancreatic surgery (HBPS), have not been adequately investigated. This study aimed to identify perioperative predictive factors for FTR following highly advanced HBPS.
Methods
This single-institution retrospective study involved 177 patients at Gifu University Hospital who developed severe postoperative complications (Clavien-Dindo classification ≥ grade 3a) between 2010 and 2022 following highly advanced HBPS. Logistic regression analysis was used to identify pre-, intra-, and postoperative risks of FTR.
Results
Nine postoperative mortalities occurred during the study period (overall mortality rate, 1.3% [9/686]; FTR rate, 5.1% [9/177]). Univariate analysis indicated that comorbid liver disease, intraoperative blood loss, intraoperative blood transfusion, postoperative liver failure, postoperative respiratory failure, and postoperative bleeding significantly correlated with FTR. Multivariate analysis indicated that intraoperative blood loss > 1600 mL (odds ratio [OR] 1.12e + 9; 95% confidence interval [CI] 34.87–; p < 0.001) and postoperative respiratory failure (OR 2.29e + 8; 95% CI 15.53–; p < 0.001) were independently associated with FTR.
Conclusions
FTR was found to be associated with hospital-related factors and may be associated with perioperative factors. Prevention of massive intraoperative blood loss and postoperative respiratory failure may decrease FTR rates.
Patient characteristics associated with hospital admission or antiarrhythmic medication changes after emergency department evaluation of supraventricular tachycardia
Authors: Schmucker Kyle A , Morris Caroline S , Tisherman Robert T , Manole Mioara , Arora Guarav , Dunnick Jennifer 
Published: June 2023

Abstract
Background
Supraventricular tachycardia (SVT) is a relatively frequent diagnosis in the pediatric emergency department (ED). However, there are no consensus guidelines for ED disposition, and there are limited data on ED outcomes. Better understanding of those who are admitted or have antiarrhythmic medication changes may avoid potentially unnecessary transfers or admissions. Our objective was to identify patient factors associated with discharge from the emergency department without medication initiation or modification after management of SVT in the pediatric ED.
Design/Methods
A retrospective review of children aged 0-18 years seen in the emergency department for SVT was conducted using electronic medical record data over a ten-year period at a single academic tertiary children’s hospital. Patients with congenital cardiac disease or prior cardiac surgeries were excluded. Multivariable logistic regression analysis was used to determine association between patient factors of interest and the primary outcome of admission and secondary outcome of change to antiarrhythmic medications.
Results
We analyzed 197 patients encounters. The mean age was 7 years. Of these 104 (52.8%) were admitted to the hospital or discharged with antiarrhythmic medication changes. This primary outcome was associated with younger age (aOR 0.77, 95% CI 0.67-0.86), history of pre-excitation (aOR 5.82, 95% CI 2.01-18.8), intercurrent illness (aOR 3.75, 95% CI 1.27-12.1), number of adenosine doses prior to arrival (aOR 5.45, 95% CI 1.55-22.3), and in-person cardiology consultation (aOR 6.42, 95% CI 2.43-19.4).
Conclusions
Nearly half of children treated in a pediatric ED for SVT are discharged without changes in medications. We identified patient factors associated with hospital admission or antiarrhythmic medication changes. These factors represent high value care and can be assessed when considering transfer from a referring facility. Risk stratification using these patient characteristics may reduce potentially avoidable transfers and admissions.
Sustainable Chemically Modified Mater-Bi/Poly(ε-caprolactone)/Cellulose Biocomposites: Looking at the Bulk through the Surface
Authors: Hejna Aleksander , Barczewski Mateusz , Kosmela Paulina , Mysiukiewicz Olga , Tercjak Agnieszka , Piasecki Adam , Saeb Mohammad Reza , Szostak Marek 
Published: June 2023

AbstractSustainable polymer composites are progressively under development in a technological paradigm shift from "just use more and more" to "convert into value-added products". The bio-based blends based on Mater-Bi bio-plastic (A) and poly(ε-caprolactone) (B), at a weight ratio of 70:30 (A:B) were developed, followed by the addition of UFC100 cellulose (C) filler to yield 70/30 (w/w) (A:B)/C sustainable biocomposites. The effects of chemical modification of C with three diisocyanates, i.e., hexamethylene diisocyanate (HDI), methylene bisphenyl isocyanate (MDI), or toluene diisocyanate (TDI) on the surface properties of biocomposites was evaluated by water contact angle and surface roughness detected by atomic force microscopy (AFM). Biocomposites containing C modified with HDI, MDI, or TDI revealed contact angle values of 93.5°, 97.7°, and 92.4°, respectively, compared to 88.5° for reference blend, indicating enlarged hydrophobicity window. This action was further approved by increased fracture surface roughness and miscibility detected by microscopic observation (scanning electron microscopy (SEM) and AFM) and in-depth oscillatory rheological evaluation. Correspondingly, thermogravimetric analysis (TGA) and differential scanning calorimetry (DSC) analyses showed more residue and higher melting temperatures for biocomposites, more promisingly with MDI and TDI modifiers. In conclusion, either incorporation or diisocyanate modification of C affects both surface and bulk properties.
The Influence of The Work Environment, Work Discipline and Work Motivation on The Work Productivity
Authors: Adelliani Fauziah Putri , Fatimah Nuzulul , Sari Anita Kartika , Suwangsih Iwang , Zargar Nasir Ahmad 
Published: June 2023

This study aims to determine the Effect of Work Environment, Work Discipline, and Work Motivation on Post-New Normal Village Apparatus Work Productivity. The method used in this study is a non-probability sampling method with a saturated sampling technique. The sample in this study was all 50 village apparatus Village Government. Data collection techniques are observation, questionnaire, and literature study. The data analysis method used in this study is Multiple Linear Regression. The results of this study show that the variables are Work Environment, Work Discipline, and Work Motivation has a partial significant effect on the Work Productivity of Village Apparatus after the new normal. The variables of Work Environment, Work Discipline, and Work Motivation have a significant simultaneous effect on the Work Productivity of Village Apparatus after the new normal in Village Government.
Pengaruh Kualitas Produk, Harga, dan Citra Merek pada Keputusan Pembelian Mobil
Authors: Alawiah Widiastuti , Utama Andyan Pradipta 
Published: June 2023

This study ains to analyze the influence of product quality, price and brand image on purchasing decisions for Toyota Calya Car at DKI Jakarta. The approach used in this research is survey research because it takes a sample from one population and take a sample size of 220 respondens with purposive sampling. The Methods of data collection using survey method, with the research instrument is a questionnaire. The data analysis method using Partial Least Square. This study proves that product quality has a positif and significant impact on purchasing decisions, the price has a positif and significant impact on purchasing decisions and brand image has a postif and significant impact on purchasing decisions.
Effectiveness and Safety of Lacosamide, A Third-generation Anti-seizure Medication, for Poststroke Seizure and Epilepsy: A Literature Review
Authors: Chen Yu-Shiue , Lai Ming-Chi , Chen Tsang-Shan , Tseng Yung-Hsin , Li Ya Jhen , Huang Chin-Wei 
Published: June 2023

Abstract:Advances in stroke treatment have resulted in a dramatic reduction in stroke mortality. Nevertheless, poststroke seizures and epilepsy are issues of clinical importance affecting survivors. Additionally, stroke is the most common cause of epilepsy in older adults. Although numerous antiseizure medications exist, studies are needed to provide robust evidence of the efficacy and tolerability of these medicines for treating poststroke seizures and epilepsy. Crucially, the newer generations of antiseizure medications require testing. Lacosamide, a third-generation antiseizure medication approved for treating localization-related epilepsy, has a novel mechanism of selectively enhancing the slow inactivation of sodium channels. This literature review evaluated whether lacosamide is effective and safe for the treatment of poststroke seizures and epilepsy. This review critically analyzed studies published in major academic databases (Pubmed, Embase, and Cochrane Library) from inception through June 2022 regarding the interaction of lacosamide with poststroke seizures and epilepsy. We included clinical prospective, retrospective, and case studies on patients with poststroke seizure and epilepsy, lacosamide as a treatment for seizures, neuroprotection in animal models of seizures, and the safety of lacosamide when coadministering anticoagulants. Clinical studies revealed lacosamide to be an effective antiseizure medication with high efficacy and tolerability in patients with poststroke seizures and epilepsy. In animal models, lacosamide proved effective at seizure reduction and neuroprotection. Pharmacokinetic studies demonstrated the safety of lacosamide when coadministering conventional and new anticoagulants. The literature suggests that Lacosamide is a promising candidate antiseizure medication for patients with poststroke seizures and epilepsy.
Online Help-Seeking Among Youth Victims of Sexual Violence Before and During COVID-19 (2016-2021): Analysis of Hotline Use Trends
Authors: Goodman Kimberly L , Kamke Kristyn , Mullin Tara M 
Published: June 2023

Background
Three years since the onset of COVID-19, pandemic-related trends in child sexual abuse (CSA) remain poorly understood. Common administrative surveillance metrics may have underestimated abuse during the pandemic, given youths’ limited access to mandatory reporters. Research using anonymous service-use data showed increased violence-related online help-seeking but overlooked youth-specific help-seeking for CSA during COVID-19. Understanding pandemic-related trends in CSA can inform abuse detection practices and mental health service provision for youth victims.

Objective
The purpose of this study was to harness anonymous help-seeking data from the National Sexual Assault Online Hotline (NSAOH) to glean insights about CSA occurrence in the United States during the COVID-19 pandemic.

Methods
We used an archival sample of victims who contacted NSAOH from 2016 to 2021 (n=41,561). We examined differences in the proportion of youth and adult victims contacting NSAOH during the first COVID-19 year (March 2020 to February 2021) compared to the prior year (March 2019 to February 2020; n=11,719). Further, we compared key characteristics of hotline interactions among youth victims during the first COVID-19 year to the prior year (n=5913). Using joinpoint regression analysis, we examined linear trends in the number of monthly sampled youth and adult victims (excluding victims of unknown age) from 2016 to 2021 who discussed any victimization event (n=26,904) and who discussed recent events (ie, events occurring during the pandemic; n=9932).

Results
Most youth victims were abused by family members prior to (1013/1677, 60.4%) and after (2658/3661, 72.6%) the onset of COVID-19. The number of youth victims contacting NSAOH spiked in March 2020 and peaked in November 2020 for all youth (slope=28.2, 95% CI 18.7-37.7) and those discussing recent events (slope=17.4, 95% CI 11.1-23.6). We observed a decline in youth victims into spring 2021 for all youth (slope=–56.9, 95% CI –91.4 to –22.3) and those discussing recent events (slope=–33.7, 95% 47.3 to -20.0). The number of adult victims discussing any victimization event increased steadily from January 2018 through May 2021 (slope=3.6; 95% CI 2.9-4.2) and then declined (slope=–13.8, 95% CI –22.8 to –4.7). Trends were stable for adults discussing recent events.

Conclusions
This study extends the use of hotline data to understand the implications of the pandemic on CSA. We observed increased youth help-seeking through the NSAOH coinciding with the onset of COVID-19. Trends persisted when limiting analyses to recent victimization events, suggesting increased help-seeking reflected increased CSA during COVID-19. These findings underscore the utility of anonymous online services for youth currently experiencing abuse. Further, the findings support calls for increased youth mental health services and efforts to incorporate online chat into youth-targeted services.
A Deep Learning Model for the Normalization of Institution Names by Multisource Literature Feature Fusion: Algorithm Development Study
Authors: Chen Yifei , Li Xiaoying , Li Aihua , Li Yongjie , Yang Xuemei , Lin Ziluo , Yu Shirui , Tang Xiaoli 
Published: June 2023

Background
The normalization of institution names is of great importance for literature retrieval, statistics of academic achievements, and evaluation of the competitiveness of research institutions. Differences in authors’ writing habits and spelling mistakes lead to various names of institutions, which affects the analysis of publication data. With the development of deep learning models and the increasing maturity of natural language processing methods, training a deep learning–based institution name normalization model can increase the accuracy of institution name normalization at the semantic level.

Objective
This study aimed to train a deep learning–based model for institution name normalization based on the feature fusion of affiliation data from multisource literature, which would realize the normalization of institution name variants with the help of authority files and achieve a high specification accuracy after several rounds of training and optimization.

Methods
In this study, an institution name normalization–oriented model was trained based on bidirectional encoder representations from transformers (BERT) and other deep learning models, including the institution classification model, institutional hierarchical relation extraction model, and institution matching and merging model. The model was then trained to automatically learn institutional features by pretraining and fine-tuning, and institution names were extracted from the affiliation data of 3 databases to complete the normalization process: Dimensions, Web of Science, and Scopus.

Results
It was found that the trained model could achieve at least 3 functions. First, the model could identify the institution name that is consistent with the authority files and associate the name with the files through the unique institution ID. Second, it could identify the nonstandard institution name variants, such as singular forms, plural changes, and abbreviations, and update the authority files. Third, it could identify the unregistered institutions and add them to the authority files, so that when the institution appeared again, the model could identify and regard it as a registered institution. Moreover, the test results showed that the accuracy of the normalization model reached 93.79%, indicating the promising performance of the model for the normalization of institution names.

Conclusions
The deep learning–based institution name normalization model trained in this study exhibited high accuracy. Therefore, it could be widely applied in the evaluation of the competitiveness of research institutions, analysis of research fields of institutions, and construction of interinstitutional cooperation networks, among others, showing high application value.
Pengaruh Stres Kerja dan Lingkungan Kerja Terhadap Kinerja Karyawan
Authors: Putra I Gusti Ngurah Adi , Aryati Kadek Feni , Agustina Arik 
Published: June 2023

Penelitian ini bertujuan untuk menguji pengaruh stres kerja terhadap kinerja karyawan, pengaruh lingkungan kerja terhadap kinerja karyawan, dan pengaruh stres kerja dan lingkungan kerja terhadap kinerja karyawan di Equilibria Hotel Seminyak, Berdasarkan hasil uji yang dilakukan diketahui hasil uji F diperoleh Fhitung sebesar 24,307 dengan nilai signifikansi 0,000< 0,05 H0 ditolak dan Ha diterima, hasil uji-t variabel stres kerja mendapatkan hasil thitung 2,203 dan nilai signifikansinya 0,033<0,05 sehingga dapat dikatakan H0 ditolak dan Ha diterima. Sedangkan uji-t variabel lingkungan kerja memperoleh nilai thitung 2,986 dengan nilai signifikansi 0,004<0,05 sehingga H0 ditolak dan Ha diterima. Variabel lingkungan kerja merupakan variabel yang paling dominan atau variabel yang paling besar dalam mempengaruhi kinerja karyawan di Equilibria Hotel Seminyak.

This study aims to test the effect of work stress on employee performance, the effect of the work environment on employee performance, and the effect of work stress and work environment on employee performance at Equilibria Hotel Seminyak, Based on the results of tests conducted known F test results obtained Fhitung of 24,307 with a significance value of 0.000< 0.05 H0 rejected and Ha accepted, the results of t-variable work stress get a result of thitung 2,203 and a significance value of 0.033<0.05 so that it can be said H0 rejected and Ha accepted. While the t-test of the working environment variable obtained a thitung value of 2.986 with a significance value of 0.004<0.05 so that H0 was rejected and Ha was accepted. The work environment variable is the most dominant variable or the most variable in influencing employee performance at Equilibria Hotel Seminyak.
Analisis Strategi Pengembangan Bisnis Berbasis Menu Engineering Dalam Upaya Meningkatkan Pendapatan Restoran
Authors: Atmaja I Nyoman Pratama Surya , Pambudi Bondan , Wardana Miko Andi 
Published: June 2023

Penelitian ini dilakukan untuk membantu manajemen Swell Bar & Restoran dalam mengevaluasi menu dengan menganalisis hubungan antara tingkat popularitas dan profibilitas suatu item menu. Penelitian ini menggunakan sampling jenuh yaitu sebanyak 50 item menu. Data dikumpulkan melalui observasi, wawancara, studi keperpustakaan dan dokumentasi yang kemudian dianalisis menggunakan teknik analisis menu engineering dan ditindak lanjuti sesuai dengan klasifikasi menu engineering yaitu star, plowhorse, puzzle dan dog. Hasil penelitian menunjukkan bahwa hasil dari klasifikasi menu a’la carte lunch dan dinner adalah dari 50 item menu yang ditawarkan, 13 item atau 26,0% termasuk dalam kategori star, 7 item atau 14,0% termasuk dalam kategori plowhorse, 17 item atau 34,0% termasuk dalam kategori puzzle, serta 13 item atau 26,0% termasuk dalam kategori dog. Berdasarkan hasil analisis dapat dilihat bahwa item menu dengan kategori puzzle dan dog masih tinggi dan memiliki selisih yang tidak jauh dengan kategori star dan plowhorse. Hal ini menunjukkan bahwa performa menu di Swell Bar & Restoran belum cukup bagus dan perlu dilakukan analisis menu secara rutin untuk meningkatkan pendapatan di Swell Bar & Restoran.

This Research Was Conducted To Assist Swell Bar & Restaurant Management In Evaluating Menus By Analyzing The Relationship Between The Level Of Popularity And Profitability Of A Menu Item. This Study Uses Saturated Sampling, Namely As Many As 50 Menu Items. Data Were Collected Through Observation, Interviews, Library Research And Documentation Which Were Then Analyzed Using Engineering Menu Analysis Techniques And Followed Up According To The Engineering Menu Classification Namely Star, Plowhorse, Puzzle And Dog. The Results Showed That The Results Of The Classification Of The A'la Carte Lunch And Dinner Menus Were Of The 50 Menu Items Offered, 13 Items Or 26.0% Were Included In The Star Category, 7 Items Or 14.0% Were Included In The Plowhorse Category, 17 Items Or 34.0% Are Included In The Puzzle Category, And 13 Items Or 26.0% Are Included In The Dog Category. Based On The Results Of The Analysis, It Can Be Seen That Menu Items In The Puzzle And Dog Categories Are Still High And Have A Close Difference With The Star And Plolowhorse Categories. This Shows That Menu Performance At Swell Bar & Restaurant Is Not Good Enough And Menu Analysis Needs To Be Carried Out Regularly To Increase Revenue At Swell Bar & Restaurant.