bluuebunny/crossref_metadata_2025_split huggingface dataset:
Trichotomization with two cutoff values using Kruskal-Wallis test by minimum P-value approach
Authors: Ogura T. , Shiraishi C. 
Published: January 2023

Abstract
In clinical trials, age is often converted to binary data by the cutoff value. However, when looking at a scatter plot for a group of patients whose age is larger than or equal to the cutoff value, age and outcome may not be related. If the group whose age is greater than or equal to the cutoff value is further divided into two groups, the older of the two groups may appear to be at lower risk. In this case, it may be necessary to further divide the group of patients whose age is greater than or equal to the cutoff value into two groups. This study provides a method for determining which of the two or three groups is the best split. The following two methods are used to divide the data. The existing method, the Wilcoxon-Mann-Whitney test by minimum P-value approach, divides data into two groups by one cutoff value. A new method, the Kruskal-Wallis test by minimum P-value approach, divides data into three groups by two cutoff values. Of the two tests, the one with the smaller P-value is used. Because this was a new decision procedure, it was tested using Monte Carlo simulations (MCSs) before application to the available COVID-19 data. The MCS results showed that this method performs well. In the COVID-19 data, it was optimal to divide into three groups by two cutoff values of 60 and 70 years old. By looking at COVID-19 data separated into three groups according to the two cutoff values, it was confirmed that each group had different features. We provided the R code that can be used to replicate the results of this manuscript. Another practical example can be performed by replacing x and y with appropriate ones.
The application of PSO-BP combined model and GA-BP combined model in Chinese and V4’s economic growth model
Authors: Gui X. , Fečkan M. , Wang J. R. 
Published: January 2023

Abstract
This paper adopts different optimization algorithms such as Genetic Algorithm (GA) and Particle Swarm Optimization Algorithm (PSO-Algorithm) to train Back-Propagation (BP) neural networks, fits the Chinese, the Czech, Slovak, Hungarian, and Polish gross domestic product (GDP) growth model (from 1995 to 2020) and makes short-term simulation predictions. We use the PSO-Algorithm and GA with strong global search ability to optimize the weights and thresholds of the network, combine them with the BP neural network, and apply the resulting Particle Swarm Optimization Back-Propagation (PSO-BP) combined model or Genetic-Algorithm Back-Propagation (GA-BP) combined model to allow the network to achieve fast convergence. Besides, we also compare the above two hybrid models with standard multivariate regression model and BP neural network with different initialization methods like normal uniform and Xavier for fitting and short-term simulation predictions. Finally, we obtain the excellent results that all the above models have achieved a good fitting effect and PSO-BP combined model on the whole has a smaller error than others in predicting GDP values. Through the technology of PSO-BP and GA-BP, we have a clearer understanding of the five countries gross domestic product growth trends, which is conducive to the government to make reasonable decisions on the economic development.
A heteroscedastic Bayesian model for method comparison data
Authors: Lakmali S. M. M. , Nawarathna L. S. , Wijekoon P. 
Published: January 2023

Abstract
When implementing newly proposed methods on measurements taken from a human body in clinical trials, the researchers carefully consider whether the measurements have the maximum accuracy. Further, they verified the validity of the new method before being implemented in society. Method comparison evaluates the agreement between two continuous variables to determine whether those measurements agree on enough to interchange the methods. Special consideration of our work is a variation of the measurements with the magnitude of the measurement. We propose a method to evaluate the agreement of two methods when those are heteroscedastic using Bayesian inference since this method offers a more accurate, flexible, clear, and direct inference model using all available information. A simulation study was carried out to verify the characteristics and accuracy of the proposed model using different settings with different sample sizes. A gold particle dataset was analyzed to examine the practical viewpoint of the proposed model. This study shows that the coverage probabilities of all parameters are greater than 0.95. Moreover, all parameters have relatively low error values, and the simulation study implies the proposed model deals with the higher heteroscedasticity data with higher accuracy than others. In each setting, the model performs best when the sample size is 500.
Customer Satisfaction and Switching Intentions of Banking Services End-Users in Montenegro
Authors: Jovović Milorad , Mišnić Nikola , Pejović Bojan , Mijušković Marija 
Published: January 2023

Abstract
Numerous research studies of the various companies’ business practices indicate a strong relationship between customer satisfaction, as an overall positive response generated after the use of the specific product or service, and their intention to continue using the products/services of the company. As a rule, satisfied and particularly delighted customers show intention to return and become loyal, whereas dissatisfied and disappointed customers have switching intentions. Therefore, the objective of this study is to empirically test to which extent the intention to switch banks in Montenegro depends on customer satisfaction or dissatisfaction. With this regard, we have posed a question inquiring about the level of consumers satisfaction/dissatisfaction with banking services in Montenegro, what their intentions are regarding the continuation of using services of the chosen bank (customer retention & defection), and to what extent customer satisfaction and dissatisfaction determine their intention to change the bank. The analysis has established a statistically significant correlation between satisfaction, dissatisfaction, and intentions of leaving the bank. Findings has shown a relatively high level of customer satisfaction with banking services in Montenegro, as well as confirming that dissatisfaction usually leads to the intention to leave and change the bank, while satisfaction leads to the continued use of the bank’s services. A high level of competition in the banking services market as well as the struggle for each consumer makes this topic undeniably current and this research represents a significant input for the bank management in Montenegro regarding the identification of the real situation with customer satisfaction and their intention to switch banks in accordance with their level of satisfaction.
Clinical Mastits Incidence In Small-Scale Dairy Cow Farms
Authors: Janevski Aleksandar , Nikolovski Martin , Cvetkovikj Iskra , Andreevska Silvana , Todorovski Angjelche , Mitrov Dine 
Published: January 2023

Abstract
The incidence of clinical mastitis (CM) in small and large-scale dairy cow farms can be highly variable and can be affected by age, parity, post-calving status, and atmospheric conditions. The current study aimed to assess the CM-incidence and its association with the post-calving days, number of lactations, season, and number of affected udder quarters in dairy cows in small-scale dairy farms. The study was conducted within one calendar year in 177 small-scale farms with 864 dairy cows. Clinically confirmed CM cows (n=72) were sampled from each udder quarter and processed for bacteriology examination. The CM-positive samples were grouped according to the season (spring, summer, autumn, and winter), the number of days after calving (<90, 90-180, and >180), the number of lactations (1-st, 2-5-th, and >6-th), and the number of affected udder quarters (one, two, three, and four). The CM-positive samples (n=72, 8.3%) were confirmed on bacteriology examination in significantly lower count (n=56, 6.5%). The 2-5-th lactations cows (n=35, 68.6%) were significantly more compared to the first lactation (n=6, 11.8%), and >6-th lactation cows (n=10, 19.6%). CM cows with infection of one udder quarter (n=40, 78.4%) were significantly more than the cows with two (n=6, 11.8%), and four infected quarters (n=5, 9.8%). The CM-incidence in small-scale dairy cow farms in North Macedonia was 8.3% and 6.5% by clinical and bacteriology examination, respectively. The highest CM susceptibility was observed in the cows between the second and fifth lactations. One udder quarter was most frequently affected in CM-positive cases.
Intermediates derived from p-terphenyl in the methyltributylammonium bis[(trifluoromethyl)sulfonyl]imide ionic liquid saturated with carbon dioxide: Pulse radiolysis study
Authors: Kocia Rafał 
Published: January 2023

Abstract
Radiation-induced processes in ionic liquid (IL) methyltributylammonium bis[(trifluoromethyl)sulfonyl] imide ([MeBu3N][NTf2]) solutions containing p-terphenyl (TP) and saturated with carbon dioxide (CO2) were studied using nanosecond pulse radiolysis technique with UV-vis detection. The transient absorption spectra generated in these solutions were assigned to TP radical anions (TP•−) and triplet excited states (3TP*). Saturation of [MeBu3N][NTf2] solutions with carbon dioxide efficiently takes out presolvated electrons

(

e

presolv

−

)

( {{\rm{e}}_{{\rm{presolv}}}^ - } )

and solvated electrons

(

e

solv

−

)

( {{\rm{e}}_{{\rm{solv}}}^ - } )

. On the other hand CO2 is not a scavenger of excited states of TP (1TP*, 3TP*), which in the reaction with triethylamine (TEA) leads to the formation of TP•−.
Simulation as Tool for Logistic Chain Optimization
Authors: Klapita Vladimír 
Published: January 2023

Abstract
Simulation is one of the methods in which a real system is substituted with a computer model where experiments are practiced and then subsequently analyzed and evaluated. After the application of the results of simulation and verification of its effects the results are applied in the real system with the aim to optimize processes. It seems that simulation is appropriate tool which offers all useful information about how model system works in given conditions. Simulation in planning and optimizing allows better and faster understanding of processes and guarantees that operational devices will work at the top of their effectiveness. Simulation plays an important role in optimization of logistic chains organization. There is a need to analyze strictly, find narrow places, remove them and consequently to repeat simulation with the new data. It is also very profitable to parallelly simulate more possible alternatives when there is a change in input data and consequently to compare them. The model of logistic chain created by simulation will considerably influence right decisions in process solving related to distribution. Subsequent optimization of logistic chain management can be aimed at the organization where the sum of final costs for transport and warehousing is minimum in compliance with basic parameters of customers’ service level.
In the paper classic systems of the management of logistic chains are compared, namely direct distribution and indirect distribution made by technology Cross-Dock canter. Final comparative analysis of both systems simulation points out not only to their advantages and disadvantages but also to the possibilities of their optimization and application in particular operational conditions.
Predicting neurosurgical referral outcomes in patients with chronic subdural hematomas using machine learning algorithms – A multi-center feasibility study
Authors: Biswas Sayan , MacArthur Joshua Ian , Pandit Anand , McMenemy Lareyna , Sarkar Ved , Thompson Helena , Saleemi Mohammad Saleem , Chintzewen Julian , Almansoor Zahra Rose , Chai Xin Tian , Hardman Emily , Torrie Christopher , Holt Maya , Hanna Thomas , Sobieraj Aleksandra , Toma Ahmed , George K. Joshi 
Published: January 2023

Background:
Chronic subdural hematoma (CSDH) incidence and referral rates to neurosurgery are increasing. Accurate and automated evidence-based referral decision-support tools that can triage referrals are required. Our objective was to explore the feasibility of machine learning (ML) algorithms in predicting the outcome of a CSDH referral made to neurosurgery and to examine their reliability on external validation.

Methods:
Multicenter retrospective case series conducted from 2015 to 2020, analyzing all CSDH patient referrals at two neurosurgical centers in the United Kingdom. 10 independent predictor variables were analyzed to predict the binary outcome of either accepting (for surgical treatment) or rejecting the CSDH referral with the aim of conservative management. 5 ML algorithms were developed and externally tested to determine the most reliable model for deployment.

Results:
1500 referrals in the internal cohort were analyzed, with 70% being rejected referrals. On a holdout set of 450 patients, the artificial neural network demonstrated an accuracy of 96.222% (94.444–97.778), an area under the receiver operating curve (AUC) of 0.951 (0.927–0.973) and a brier score loss of 0.037 (0.022–0.056). On a 1713 external validation patient cohort, the model demonstrated an AUC of 0.896 (0.878–0.912) and an accuracy of 92.294% (90.952–93.520). This model is publicly deployed: https://medmlanalytics.com/neural-analysis-model/.

Conclusion:
ML models can accurately predict referral outcomes and can potentially be used in clinical practice as CSDH referral decision making support tools. The growing demand in healthcare, combined with increasing digitization of health records raises the opportunity for ML algorithms to be used for decision making in complex clinical scenarios.
Case of compressive myelopathy due to juvenile xanthogranuloma of cervicothoracic junction in a 28-year-old male
Authors: Baskoro Wisnu , Pratama Muhammad Fakhri Raiyan , Christi Ayu Yoniko , Faris Muhammad , Subagio Eko Agus , Wicaksono Pandu , Kameswari Bidari 
Published: January 2023

Background:
Juvenile xanthogranuloma (JXG) is a proliferative disorder of non-Langerhans histiocytes. The lesions typically occur in children as solitary cutaneous lesions, but are only rarely found in adults in their late twenties to thirties. Approximately 5–10% of JXG are extracutaneous in location, with spinal JXG being only rarely encountered. Here, we described a 28-year-old male with an extradural spinal JXG resulting in severe C6– T1 spinal cord compression and a progressive quadriparesis that warranted a decompressive laminectomy/C6–T2 fusion.

Case Description:
A 28-year-old male presented with a progressive quadriparesis of 12 months’ duration that rapidly worsened over the last 3 months. When the MRI revealed severe cord epidural C6–T1 cord compression, the patient successfully underwent a C6–T1 laminectomy for gross total tumor excision followed by a C6–T2 instrumented fusion. The histopathology confirmed the diagnosis of a spinal JXG.

Conclusion:
Spinal JXGs in adults are only rarely encountered and should be treated with gross total tumor excision with/without fusion to achieve the best long-term outcomes.
Treatment strategy for giant thrombosed aneurysm of the basilar artery with associated obstructive hydrocephalus
Authors: Yoshida Shinichiro , Kamatani Kaisei , Maruyama Kousei , Hama Yoshiaki , Tashiro Noriaki , Hiraoka Fumihiro , Yano Shigetoshi , Aikawa Hiroshi , Go Yoshinori , Kazekawa Kiyoshi 
Published: January 2023

Background:
There is no established adequate treatment for thrombosed aneurysm of the basilar artery with obstructive hydrocephalus. We conducted coil embolization and peritoneal shunting followed by placement of a stent expected to exert flow diversion (FD) effects to treat 2 patients with giant thrombosed aneurysms of the basilar artery with associated obstructive hydrocephalus, with good results.

Methods:
From April 2019 to March 2021, consecutive two cases of symptomatic hydrocephalus due to giant thrombosed aneurysms in the posterior cranial fossa at our hospital were treated. At first, coil embolization was performed to prevent aneurysm rupture. After coil embolization, ventriculoperitoneal shunting was performed. Finally, stent-assisted coil embolization was performed with flow re-direction endoluminal device (FRED) or low-profile visualized intraluminal support device (LVIS) stent.

Results:
Both patients were discharged after recovering well, with no postoperative hemorrhagic or ischemic complications.

Conclusion:
Staged surgery using a FRED for flow diverter or an LVIS stent expected to have FD effects may offer an effective treatment option.
The Effect of Cell Surface Area on the Effectivity and Reusability of Bixin Sensitized Solar Cells
Authors: Maharani Anissa Bella , Destiarti Lia , Rahmalia Winda 
Published: January 2023

Dye-Sensitized Solar Cells or DSSC is the latest solar cell type generation that uses natural dyes as sensitizers. Bixin extracted from the seeds of kesumba (Bixa orellana L) is one of the natural dyes that can be used as a sensitizer. This study aims to determine the effect of the active surface area of solar cells on the effectivity and reusability of bixin-sensitized solar cells based on their open-circuit voltage (Voc), short-circuit current (Isc), and maximum energy conversion efficiency. The results of this study will provide an overview of the best surface area to produce DSSC with the highest maximum energy conversion efficiency and the lifetime of bixin sensitized solar cells. The measurement results showed that the resulting Voc for each variation of the surface area 1, 2, and 3 cm2 was 344; 719; 1002 mV under intensity 100 mW cm-2, while the Isc produced under the same intensity was 0.223; 0.471; 0.680 mA. Based on the calculation results, the maximum power generated by each surface area was 0,077; 0,338; 0,681 W. This means that the larger the active surface area of the solar cell, the greater the voltage and current generated. In this work, the highest efficiency was produced by solar cells with a surface area of 2 cm2, which is 0.085%. The solar cells fabricated in this study can be reused for five days under continuous irradiation.
Tiktok Sebagai Wadah Penyimpanan Memori Kolektif Dan Penyebaran Informasi
Authors: Jalinur Jalinur , Laksmi Laksmi 
Published: January 2023

Abstrak TikTok sebagai wadah penyimpanan memori kolektif dan penyebaran informasi dalam mengoleksi konten-konten yang diunggah, terlebih setiap konten yang disebarkan mengandung informasi yang berkualitas atau sifatnya informatif dan mendidik, hal ini dapat membantu dalam mengembangkan ilmu pengetahuan baik bagi individu maupun kelompok. Salah satu pemanfaatan media sosial adalah dapat memberikan wadah berinteraksi sosial oleh masyarakat. Tujuan penelitian ini adalah untuk melihat sejauhmana TikTok dimanfaatkan sebagai wadah penyimpanan memori kolektiif dan penyebaran informasi. Jenis penelitian yang digunakan dalam penelitian ini adalah metode kualitatif dengan pendekatan deskriptif. Akun TikTok telah mampu menarik perhatian dan menyebarkan informasi edukasi dan menjadikan memori kolektif pribadi untuk pembelajaran dengan tujuan utama sebagai simpanan di masa yang akan datang. TikTok sebagai memori kolektif dapat kita lihat dari respon dan komentar yang positif dari akun TikTok lain terhadap unggahan konten yang bersifat informatif bagi yang melihatnya, bahkan ada juga yang mengusulkan ide konten terbaru seputaran parenting, agar memperoleh informasi yang dibutuhkan lebih mudah dipahami.
ANALISIS PENERAPAN MODEL HOUSE OF RISK TERHADAP DEFECT PRODUCT PT XYZ DI PT TENARIS HYDRIL
Authors: Chairi Adinda Zaitil , Harlan Fandy Bestario 
Published: January 2023

PT Tenaris Hydril adalah perusahaan sektor Oil and Gas dengan jasa penguliran Pipa jenis Accessories,Casing dan Tubing dari pelanggan dengan alur proses produk yang panjang dan pada tiap proses memungkinkan terjadinya defect pada product. Berdasarkan data Final Inspection PT Tenaris Hydril periode Januari hingga Desember tahun 2020 defect yang paling banyak ditemui adalah defect peel off, untuk meminimalisir defect pada Produk dilakukan manajemen risiko menggunakan metode House of Risk (HOR) yang menunjukkan pada HOR fase 1 berdasarkan perhitungan ARP, peringkat risiko dan diagram pareto prinsip 80:20 didapatkan hasil berupa 4 pemicu risiko yang dominan untuk dilakukan tindakan pencegahan. Serta HOR fase 2 terdapat 14 strategi tindakan preventif dengan peringkat untuk melihat tindakan mana yang dilakukan terlebih dahulu sesuai dengan tingkat kemudahan dan keefektifitasan.
Peran Guru PAI dalam Mengembangkan Kecerdasan Spiritual dan Emosional Peserta Didik Sekolah Dasar
Authors: Parhati Laela Nadia , Zulijah Siti , Nugroho Muhammad Toto 
Published: January 2023

Penelitian ini memiliki tujuan meningkatkan peran guru PAI dalam mengembangkan kecerdasan spiritual dan kecerdasan emosional siswa di SDN Sapta Mulia 78/VIII. Penelitian ini menggunakan jenispenelitian deskriptif kualitatif, dengan subyek penelitiannya adalah siswa, guru PAI dan kepala sekolah. Data dikumpulkan melali observasi, wawancara, dan dokumentasi. Teknik analisis data mengadopsi model Miles dan Huberman, dimulai dari reduksi data, penyajian data dan penarikan kesimpulan. Hasil penelitian bahwa guru PAI SD telah mampu menanamkan kecerdasan spiritual dan kecerdasan emosional pada siswa. Guru telah berusaha untuk menanamkan kecerdasan spiritual dan emosional kepada siswa.
TECNOLOGIAS DO CUIDADO UTILIZADAS PELO ENFERMEIRO NA ASSISTÊNCIA DE ENFERMAGEM EM SAÚDE MENTAL: Revisão Integrativa
Authors: Bessa Marcelino Maia , Moreira de Freitas Rodrigo Jácob , Duarte Fonseca Álvaro Micael , Cosme do Nascimento Ellany Gurgel , De Andrade Micássio Fernandes 
Published: January 2023

Objetivo: identificar na literatura cientifica as tecnologias do cuidado utilizadas pelo enfermeiro na assistência de enfermagem em saúde mental. Método: trata-se de uma revisão integrativa da literatura com busca sistemática, realizada nas bases EMBASE, BVS e MEDLINE. Utilizou-se os descritores: Cuidados de Enfermagem, Tecnologia, Tecnologia Biomédica e Saúde Mental. Resultados: foram identificados 2024 artigos potencialmente elegíveis. Após seleção dos estudos, a amostra totalizou 12 artigos. Os estudos são dos últimos 5 anos (83,3%), foram publicados em revistas de enfermagem (83,3%), são primários qualitativos (58,3%), possuem nível de evidência VI (67,7%) e utilizam predominantemente tecnologias leves (100%). Dentre as tecnologias utilizadas, as mais citadas foram acolhimento e musicoterapia. Reflete-se sobre as tecnologias disponíveis e que são utilizadas, bem como a criação de novas em concordância com as novas demandas e necessidades da área estudada. Considerações finais: Os enfermeiros devem atuar pautando-se em um conhecimento técnico, cientifico e humanístico, na qual os usos das tecnologias do cuidado podem ofertar uma maior qualidade na assistência quando utilizadas de forma adequada.