bluuebunny/crossref_metadata_2025_split huggingface dataset:
Non-invasive Brain and Spinal Stimulation for Pain and Related Symptoms in Multiple Sclerosis: A Systematic Review
Authors: Zucchella Chiara , Mantovani Elisa , De Icco Roberto , Tassorelli Cristina , Sandrini Giorgio , Tamburin Stefano 
Published: November 2020

Background: Neuropathic and nociceptive pain frequently affect patients with multiple sclerosis (MS), with a prevalence close to 90% and significant impact on general health and quality of life. Pharmacological strategies are widely used to treat pain in MS, but their effectiveness and side-effects are controversial. Among non-pharmacological treatments for pain, non-invasive brain and spinal stimulation (NIBSS) has shown promising preliminary results in MS.Objective: Systematic review to investigate the effect of NIBSS for the management of pain in MS.Methods: A literature search using Pubmed, Science Direct and Web of Science was conducted from databases inception to February 21, 2020 for studies assessing the analgesic effect of NIBSS on pain in MS.Results: A total of 279 records were title- and abstract-screened, nine were assessed for full text and included. The NIBSS techniques explored were transcranial direct current stimulation (N = 5), transcranial magnetic stimulation (N = 2), transcranial random noise stimulation (N =1), transcutaneous spinal direct current stimulation (N = 1). The targets were the primary motor cortex (M1; N = 4), the left dorsolateral pre-frontal cortex (DLPFC; N = 3), the spinal cord (N = 1), unspecified brain target (N = 1). The study designs were randomized (N = 7), open label (N = 1), single case report (N = 1). Despite the differences in study design, target and NIBSS technique that impeded a meta-analysis, all the studies converge in showing a significant improvement of pain after active NIBSS with less consistent effects on other symptoms of the pain-related cluster (depression, fatigue, cognition) and quality of life.Conclusions: Excitatory NIBSS over M1, left DLPFC and spinal cord appear to be the most effective protocols for pain in MS. Open questions include the use of neurophysiological or neuroimaging surrogate outcome measures, the stratification of patients according to the clinical profiles and underlying pathogenetic mechanisms and the combination of NIBSS to pharmacological treatment, neurorehabilitation, or psychotherapy to improve the clinical effect. The duration of the effect to NIBSS and the feasibility and efficacy of telemedicine NIBSS protocols are other open key questions.
Hepatitis B Virus Seropositivity Is a Poor Prognostic Factor of Pediatric Hepatocellular Carcinoma: a Population-Based Study in Hong Kong and Singapore
Authors: Liu Anthony P. Y. , Soh Shui-Yen , Cheng Frankie W. C. , Pang Herbert H. , Luk Chung-Wing , Li Chak-Ho , Ho Karin K. H. , Chan Edwin K. W. , Chan Albert C. Y. , Chung Patrick H. Y. , Kimpo Miriam S. , Ahamed Summaiyya H. , Loh Amos , Chiang Alan K. S. 
Published: November 2020

BackgroundHepatocellular carcinoma (HCC) is a rare hepatic malignancy in children. Hepatitis B virus (HBV) infection is a key predisposing factor in endemic regions but its impact on outcome has not been studied. We aim to evaluate the prognostic implication of HBV seropositivity and role of cancer surveillance in children with HCC from East Asian populations with national HBV vaccination.MethodsReview of population-based databases for patients (&lt; 18 years old) diagnosed with HCC from 1993 to 2017 in two Southeast Asian regions with universal HBV vaccination (instituted since 1988 and 1987 in Hong Kong and Singapore, respectively).ResultsThirty-nine patients were identified (Hong Kong, 28; Singapore, 11). Thirty were male; median age at diagnosis was 10.8 years (range, 0.98–16.6). Abdominal pain was the commonest presentation while five patients were diagnosed through surveillance for underlying condition. Alpha-fetoprotein was raised in 36 patients (mean, 500,598 ng/ml). Nineteen had bilobar involvement, among the patients in whom pretreatment extent of disease (PRETEXT) staging could retrospectively be assigned, 3 had stage I, 13 had stage II, 4 had stage III, and 11 had stage IV disease. Seventeen had distant metastasis. HBsAg was positive in 19 of 38 patients. Two patients had fibrolamellar HCC. Upfront management involved tumor resection in 16 (liver transplantation, 2), systemic chemotherapy in 21, interventional procedures in 6 [transarterial chemoembolization (TACE), 5, radiofrequency ablation (RFA), 1], and radiotherapy in 4 (selective internal radiation, 3, external beam radiation, 1). Five-year event-free survival (EFS) and overall survival (OS) were 15.4 ± 6.0 and 26.1 ± 7.2%, respectively. Patient’s HBsAg positivity, metastatic disease and inability to undergo definitive resection represent poor prognostic factors in univariate and multivariable analyses. Patients diagnosed by surveillance had significantly better outcome.ConclusionPediatric HCC has poor outcome. HBV status remains relevant in the era of universal HBV vaccination. HBV carrier has inferior outcome and use of surveillance may mitigate disease course.
Toxoplasma gondii Effects on the Relationship of Kynurenine Pathway Metabolites to Acoustic Startle Latency in Schizophrenia vs. Control Subjects
Authors: Pearce Bradley D. , Massa Nicholas , Goldsmith David R. , Gandhi Zeal H. , Hankus Allison , Alrohaibani Alaaeddin , Goel Neha , Cuthbert Bruce , Fargotstein Molly , Barr Dana Boyd , Panuwet Parinya , Brown Victoria M. , Duncan Erica 
Published: November 2020

Background:Chronic infection withToxoplasma gondii(TOXO) results in microcysts in the brain that are controlled by inflammatory activation and subsequent changes in the kynurenine pathway. TOXO seropositivity is associated with a heightened risk of schizophrenia (SCZ) and with cognitive impairments. Latency of the acoustic startle response, a putative index of neural processing speed, is slower in SCZ. SCZ subjects who are TOXO seropositive have slower latency than SCZ subjects who are TOXO seronegative. We assessed the relationship between kynurenine pathway metabolites and startle latency as a potential route by which chronic TOXO infection can lead to cognitive slowing in SCZ.Methods:Fourty-seven SCZ subjects and 30 controls (CON) were tested on a standard acoustic startle paradigm. Kynurenine pathway metabolites were measured using liquid chromatography-tandem mass spectrometry were kynurenine (KYN), tryptophan (TRYP), 3-hydroxyanthranilic acid (3-OHAA), anthranilic acid (AA), and kynurenic acid (KYNA). TOXO status was determined by IgG ELISA.Results:In univariate ANCOVAs on onset and peak latency with age and log transformed startle magnitude as covariates, both onset latency [F(1,61)= 5.76;p= 0.019] and peak latency [F(1,61)= 4.34;p= 0.041] were slower in SCZ than CON subjects. In stepwise backward linear regressions after stratification by Diagnosis, slower onset latency in SCZ subjects was predicted by higher TRYP (B = 0.42;p= 0.008) and 3-OHAA:AA (B = 3.68;p= 0.007), and lower KYN:TRYP (B = −185.42;p= 0.034). In regressions with peak latency as the dependent variable, slower peak latency was predicted by higher TRYP (B = 0.47;p= 0.013) and 3-OHAA:AA ratio (B = 4.35;p= 0.010), and by lower KYNA (B= −6.67;p= 0.036). In CON subjects neither onset nor peak latency was predicted by any KYN metabolites. In regressions stratified by TOXO status, in TOXO positive subjects, slower peak latency was predicted by lower concentrations of KYN (B = −8.08;p= 0.008), KYNA (B = −10.64;p= 0.003), and lower KYN:TRYP ratios (B = −347.01;p= 0.03). In TOXO negative subjects neither onset nor peak latency was predicted by any KYN metabolites.Conclusions:KYN pathway markers predict slowing of startle latency in SCZ subjects and in those with chronic TOXO infection, but this is not seen in CON subjects nor TOXO seronegative subjects. These findings coupled with prior work indicating a relationship of slower latency with SCZ and TOXO infection suggest that alterations in KYN pathway markers may be a mechanism by which neural processing speed, as indexed by startle latency, is affected in these subjects.
Psychosocial Risks, Work Engagement, and Job Satisfaction of Nurses During COVID-19 Pandemic
Authors: Giménez-Espert María del Carmen , Prado-Gascó Vicente , Soto-Rubio Ana 
Published: November 2020

Context:COVID-19 pandemic is a serious health emergency that has affected countries all over the world. Health emergencies are a critical psychosocial risk factor for nurses. In general, psychosocial risks constitute serious problems as they impact workers' health, productivity, and efficiency. Despite their importance, few studies analyze nurses' psychosocial risks during a health emergency caused by a pandemic or analyze their perception of the emergency and its relation to such risks.Objectives:To analyze the perception of COVID-19 by nurses, especially about measures, resources, and impact on their daily work. Also, to analyze these professionals' psychosocial risks and the relationship between perception of COVID-19 and these risks.Methods:A descriptive correlational study was performed in a convenience sample of 92 nurses from two public hospitals in the Valencian Community (Spain), (74 women, 79.1%), aged 24–63 (M = 43.37, SD = 11.58). Data were collected via an online self-completed questionnaire during the rise of the pandemic from March 29 to April 8, when the number of infections went from 78,797 to 146,690.Results:The measures and resources available about COVID-19 are relatively low, and the impact on their work is high. Similarly, the most prominent psychosocial risks appear to be emotional work and workload. In contrast, nurses' work engagement is medium, and their satisfaction is high. Finally, there seems to be a negative and significant relationship between the information available to nurses, the measures implemented, and resources with some of their psychosocial risks, and a positive one with job satisfaction and work engagement. There is also a positive and significant relationship only between the impact of COVID-19 and their work inequality, but not for other risks.Conclusions:The resources, measures, and information can be a protective factor facing nurses' psychosocial risks, especially during a pandemic. Studying the relationships between psychosocial risk and perception of a health emergency would be relevant and fundamental to protecting and caring for nurses, health professionals, and society.
PEMODELAN DAN SIMULASI ANTRIAN PENDAFTARAN DRIVER BARU GO-JEK DI SIDOARJO
Authors: Eko Anugrah Putra , Sona Mohammad Niko , Saputra Achmad Fauzi , Rolliawati Dwi 
Published: November 2020

Antrian adalah suatu garis tunggu dari pelanggan yang memerlukan layanan dari satu atau lebih pelayanan. Masalah antrian berhubungan dengan efisiensi, dimana terjadinya antrian akan mengurangi kenyamanan pelayanan kepada pelanggan. Hal ini juga terjadi di Kantor Gojek, antrian terjadi karena banyaknya fasilitas pelayanan tidak sebanding dengan laju kedatangan driver baru yang akan mendaftar. Peneliti menjadi tertarik untuk membuat pemodelan dan simulasi antrian pendaftaran driver baru di Kantor Go Jek tersebut dengan menggunakan model Multi Channel - Multi Phase.
Kata kunci: Antrian, Gojek, Pemodelan, simulasi
ANALISIS PENDAPATAN USAHATANI KOPI ARABIKA DI DESA COLOL KECAMATAN POCO RANAKA TIMUR KABUPATEN MANGGARAI TIMUR
Authors: Murnilayati Felisia , Bano Maria , Herewila Kudji 
Published: November 2020

ABSTRACT

This research was conducted at Colol Village East Poco Ranaka Sub-District East Manggarai District on March 2019. This research aimed to know: (1) The income bigness of arabica coffee cultivation; (2) The properness of arabica coffee cultivation; (3) the management of arabica coffee cultivation. Data collection method which used in this research was survey method. The determination of research location was purposive sampling with the consideration that Colol Village as one of coffee production village. Kind of data which collected are primary and secondary data. Data were tabulated and analysis as qualitative and quantitative. Income analysis I=TR˗TC used to answer the first aim, and R/C ratio analysis used to answer the second aim.
The result of research show that (1) the bigness income of arabica coffee cultivation at Colol Village East Poco Ranaka Sub-District East Manggarai District was high grouped. Total of income as big as Rp.1.503.193.326 with average of Rp.18.110.769 per respondent and average of income per Ha as big as Rp.17.493.593. (2) the bignes of relative profit of arabica coffee cultivation at Colol Village East Poco Ranaka Sub-District East Manggarai District namely 20,00. This case idicated that for every Rp.1 cost which purcased by farmer will obtain revenue as big as 20,00 as profit of arabica coffee cultivation. (3) the power of famer in arabica coffee cultivation was not proper with planing which had decided.
Peramalan Penjualan dengan Metode Exponential Smoothing (Studi Kasus : Penjualan Bakso Kemasaan/Kiloan Rumah Bakso Bang Ipul)
Authors: Ihsan Hisyam , Syam Rahmat , Ahmad Fahrul 
Published: November 2020

Abstrak. Peramalan penjualan memungkinkan sebuah perusahan memilih kebijakan yang optimal untuk membuat keputusan yang sesuai dan mempertahankan efisiensi dari kegiatan operasional. Rumah Bakso Bang Ipul adalah salah satu usaha yang melakukan penjualan yakni penjualan bakso kemasaan/kiloan. Oleh sebab itu,. Rumah Bakso Bang Ipul sangat memerlukan peramalan penjualan untuk meningkatkan keuntungan dan menghindari terjadinya kelebihan atau kekurangan persedian bakso kemasaan/kiloan. Penelitian ini dilakukan peramalan dengan metode exponential smoothing. Adapun parameter atau a yang digunakan dalam meramalkan penjualan adalah a = 0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8, dan 0.9. Singel exponential smoothing melakukan perbandingan dalam menentukan nilai a, dengan mencari nilai a tersebut secara trial and error sampai menemukan a yang memiliki error minimum dengan pencarian menggunakan metode mean absolute error (MAE) dan metode Mean Squaered error (MSE). Sehingga dipilih a = 0.1 dengan nilai MAE = 6.23 dan nilai MSE = 58.32. berdasarkan hasil ini, dengan menggunakan metode singel exponential smoothing dan a =0.1 diperoleh hasil peramalan penjualan bakso bang ipul pada bulan juni 2018 sebanyak 48 kilogram.Kata Kunci: Peramalan, Metode Exponential Smoothing, Metode Singel Exponential SmoothingAbstract. Sales forecasting enables an optimal policy of the company had to make the appropriate decision and maintain the efficiency of operational activities. Rumah Bakso Bang Ipul is a business that sells packaged meatballs. Therefore, Rumah Bakso Bang Ipul is in need of sales forecasting to increase profit and avoid the occurrence or lack of supply of packaged meatballs. This research was conducted by the method of exponential smoothing forecasting. As for parameter or a used predicting sales is a = 0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8, and 0.9. single exponential smoothing do a comparison in determining the value of a, by searching for the value of such a trial and error to find a that has minimum error with search method using the mean absolute error (MAE) and mean squared error (MSE). So that selected a = 0.1 with MAE value = 6.23 and MSE Value = 58.32. Based on these results, using the method of single exponential smoothing and retrieved results forecasting Rumah Bakso Bang Ipul in July 2018 as much as 48 kilograms.Keywords: Forecasting, Method of exponential smoothing, Method of single exponential smoothing.
Suatu Kajian Tentang Grup Fuzzy
Authors: Abdy Muhammad , Sukarna S , Abubakar Rahmah 
Published: November 2020

Abstrak.Penelitian ini mengkaji konsep dasar grup fuzzy dari grup klasik yang telah diperkenalkan oleh Azriel Rosenfeld, yaitu melihat hubungan antara sifat-sifat pada grup klasik dan sifat-sifat grup fuzzy. Ditunjukan bahwa Teorema 7 tidak berlaku di grup fuzzy.Kata Kunci: Himpunan Kabur, Grup, Subgrup, Grup FuzzyAbstract.This research aims to review the basic concept of fuzzy group from classic group that have been introduced by Azriel Rosenfeld, and in addition,to find the connection between the properties of classic group and properties of fuzzy group. Show that the Theorem 7 is can't be applied in fuzzy group.Keyword: Fuzzy set, Group, Subgroup, Fuzzy Grup
Analisis Survival Weibull dengan Pendekatan Bayesian (Studi Kasus Pasien Penderita Penyakit Demam Berdarah Dengue di RSUD Haji Kota Makassar)
Authors: Sanusi Wahidah , Sukarna S , Nurwakia N 
Published: November 2020

Abstrak. Penelitian ini mengkaji literatur yang berkaitan tentang analisis survival Weibull dengan pendekatan Bayesian. Analisis survival merupakan suatu himpunan dari prosedur statistik untuk menganalisis data dimana variabel respon merupakan variabel waktu sampai suatu peristiwa terjadi. Tujuan penerapan dari analisis survival dalam penelitian ini adalah mengetahui laju kesembuhan penderita demam berdarah dengue (DBD). Untuk mengetahui laju kesembuhan pasien DBD di RSUD Haji Kota Makassar digunakan fungsi hazard dan fungsi survival yang berdistribusi Weibull dua parameter, dengan mengestimasi parameter Weibull menggunakan pendekatan Bayesian. Berdasarkan data lama rawat inap pasien penderita DBD di RSUD Haji diperoleh: model survival Weibull dan model laju kesembuhan pasien penderita DBD . Laju kesembuhan pasien penderita DBDB di RSUD Haji menunjukkan bahwa semakin lama pasien dirawat inap maka, kemungkinan untuk sembuh semakin besar.Kata Kunci: Demam Berdarah Dengue, Distribusi Weibull, Fungsi Hazard, Fungsi Survival, Pendekatan Bayesian.Abstract. This study examines the relevant literature on Weibull survival analysis with Bayesian approach. The survival analysis is a set statistical procedures to analyze the data which the response variable is a time variable until an event occurs. The purpose of the implementation of survival analysis in this study is to know the healing rate of dengue fever (DF) patient. In order to know the healing rate of DF patients in Haji Hospital Makassar, we use hazard function and survival function that is distributed Weibull two parameters, by estimating Weibull parameter using Bayesian approach. Based on the old data of DF patient hospitalization in Haji Hospital, we obtained: Weibull survival model and healing rate model of dengue patients, . The healing rate of dengue fever patients in Haji Hospital shows that the longer the patient is hospitalized, the more likely it is to heal.Keywords: Dengue Fever, Weibull Distribution, Hazard Function, Survival Function, Bayesian Approach.
Analisis Model Matematika Penyebaran Demam Berdarah Dengue dengan Fungsi Lyapunov
Authors: Side Syafruddin , Zaki Ahmad , Sari Nurwahidah 
Published: November 2020

Abstrak. Artike lini adalah penelitian teori dan terapan. Artikelini bertujuan untuk membahas mengenai model matematika SIRS untuk penyebaran Demam Berdarah Dengue. Data yang digunakanadalah data sekunder jumlah penderita penyakit Demam Berdarah Dengue dari Side pada tahun 2014. Pembahasan di mulai dari membangun model matematika SIRS penyakit Demam Berdarah Dengue, menentukan eksistensi model SIRS menggunakan fungsi Lyapunov, penentuan titik ekuilibrium, kemudian mencari analisis kestabilan titik ekuilibrium menggunakan fungsi Lyapunov, menentukan nilai bilangan reproduksi dasar , membuat simulasi model, dan menginterpretasikannya. Dalam artikel ini diperoleh model matematika SIRS untuk penyakit Demam Berdarah Dengue, eksistensi model SIRS, dua titik ekuilibrium bebas penyakit dan endemik dari model SIRS, kestabilan global keseimbangan bebas penyakit dan endemik dari model SIRS dengan nilai bilangan reproduksi dasar , ini menunjukkan bahwa penyakit Demam Berdarah Dengue berstatus epidemik.Kata Kunci: Model Matematika, Penyebaran Penyakit, Demam Berdarah Dengue, Model SIRS, Fungsi LyapunovAbstract. This paper is theorethical and applied research. This paper aims to discus about SIRS mathematical models for the spread of dengue fever. The data used is a secondary data about the number of people with dengue fever disease from Side (2014). The discussion start from constructing SIRS models of dengue fever disease, determining the existence of SIRS models using Lyapunov function, determining equilibrium point, then looking for stability analysis of equilibrium point using Lyapunov function, determining reproduction number , making models simulation, and interpreting it. In this paper, we obtained mathemathical models of SIRS for dengue fever disease, existence of SIRS models, disease-free and endemic equilibrium points of SIRS models, global stability of disease-free and endemic equilibrium of SIRS models with basic reproduction number , it shows that dengue fever disease is epidemic status. , This shows that Dengue Hemorrhagic Fever is an epidemic.Keyword: Mathematical Model, Spread of Disease, Dengue Fever, SIRS Model, Lyapunov Function
Peramalan Pola Curah Hujan Di Kota Makassar Menggunakan Model Rantai Markov
Authors: Ihsan Hisyam , Sanusi Wahidah , Hasriani H. 
Published: November 2020

Rantai markov merupakan suatu metode yang mempelajari sifat-sifat suatu variabel pada masa sekarang yang didasarkan pada sifat-sifatnya dimasa lalu dalam usaha menaksir sifat-sifat variabel yang sama di masa yang akan datang. Salah satu metode yang umumnya digunakan dalam memprediksi kejadian yang akan datang adalah metode rantai markov diskrit. Tujuan penelitian ini adalah: (1) menentukan orde rantai markov yang digunakan dalam memprediksi curah hujan; (2) membentuk model rantai markov masing-masing stasiun dalam meramalkan curah hujan di Kota Makassar; (3) mengetahui hasil prediksi curah hujan masing-masing stasiun menggunakan rantai markov. Dengan menggunakan metode rantai markov diskrit maka dapat diperoleh hasil prediksi steady state Stasiun Panaikang pada periode ke-10 dengan peluang 0,35 bulan mengalami kondisi kering, 0,11 bulan mengalami kondisi lembab dan 0,55 bulan mengalami kondisi basah. Stasiun Biring Romang pada periode ke-15 dengan peluang 0,33 bulan mengalami kondisi kering, 0,08 bulan mengalami kondisi lembab dan 0,59 bulan mengalami kondisi basah. Sedangkan pada stasiun Paotere pada periode ke-12 dengan peluang 0,39 bulan mengalami kondisi kering, 0,06 bulan mengalami kodisi lembab dan 0,55 bulan mengalami kondisi basah.Kata Kunci: Rantai Markov, Matriks Peluang Transisi, Orde Rantai Markov, Steady State. Rantai markov merupakan suatu metode yang mempelajari sifat-sifat suatu variabel pada masa sekarang yang didasarkan pada sifat-sifatnya dimasa lalu dalam usaha menaksir sifat-sifat variabel yang sama di masa yang akan datang. Salah satu metode yang umumnya digunakan dalam memprediksi kejadian yang akan datang adalah metode rantai markov diskrit. Tujuan penelitian ini adalah: (1) menentukan orde rantai markov yang digunakan dalam memprediksi curah hujan; (2) membentuk model rantai markov masing-masing stasiun dalam meramalkan curah hujan di Kota Makassar; (3) mengetahui hasil prediksi curah hujan masing-masing stasiun menggunakan rantai markov. Dengan menggunakan metode rantai markov diskrit maka dapat diperoleh hasil prediksi steady state Stasiun Panaikang pada periode ke-10 dengan peluang 0,35 bulan mengalami kondisi kering, 0,11 bulan mengalami kondisi lembab dan 0,55 bulan mengalami kondisi basah. Stasiun Biring Romang pada periode ke-15 dengan peluang 0,33 bulan mengalami kondisi kering, 0,08 bulan mengalami kondisi lembab dan 0,59 bulan mengalami kondisi basah. Sedangkan pada stasiun Paotere pada periode ke-12 dengan peluang 0,39 bulan mengalami kondisi kering, 0,06 bulan mengalami kodisi lembab dan 0,55 bulan mengalami kondisi basah.Kata Kunci: Rantai Markov, Matriks Peluang Transisi, Orde Rantai Markov, Steady State.