bluuebunny/crossref_metadata_2025_split huggingface dataset:
Endoscopic Transmural Drainage is Associated With Improved Outcomes in Disconnected Pancreatic Duct Syndrome: A Systematic Review and Meta-analysis
Authors: Pandanaboyana Sanjay , Fu Eric Chong Jing , Ratnayake Chathura Bathiya , Saikia Samantha , Nayar Manu , Oppong Kofi , French Jeremy J , Windsor John A 
Published: February 2021

Abstract
BackgroundDisconnected pancreatic duct syndrome (DPDS) is a complication of acute necrotizing pancreatitis in the neck and body of the pancreas often manifesting as persistent pancreatic fluid collection (PFC) or external pancreatic fistula (EPF). This systematic review and pairwise meta-analysis aim to review the definitions, clinical presentation, intervention, and outcomes for DPDS. MethodsThe PubMed, EMBASE, MEDLINE, and SCOPUS databases were systematically searched until February 2020 using the PRISMA framework. A meta-analysis was performed to assess the success rates of endoscopic and surgical interventions for the treatment of DPDS. Success of DPDS treatment was defined as long-term resolution of symptoms without recurrence of PFC, EPF, or pancreatic ascites.ResultsThirty studies were included in the quantitative analysis comprising 1355 patients. Acute pancreatitis was the most common etiology (95.2%, 918/964), followed by chronic pancreatitis (3.1%, 30/964). DPDS commonly presented with PFC (77.3%,728/942) and EPF (18.6%, 175/942). There was significant heterogeneity in the definition of DPDS in the literature. Weighted success rate of endoscopic transmural drainage (90.6%, 95%-CI: 81.0-95.6%) was significantly higher than transpapillary drainage (58.5%, 95%-CI 36.7-77.4). Pairwise meta-analysis showed comparable success rates between endoscopic and surgical intervention, which were 82% (weighted 95%-CI 68.6-90.5) and 87.4% (95%-CI 81.2-91.8), respectively (P=0.389). Conclusions Endoscopic transmural drainage was superior to transpapillary drainage for the management of DPDS. Endoscopic and surgical interventions had comparable success rates. The significant variability in the definitions and treatment strategies for DPDS warrant standardisation for further research.
Preservation of Person-Centered Care Through Videoconferencing for Patient Follow-up During the COVID-19 Pandemic: Case Study of a Multidisciplinary Care Team
Authors: Silsand Line , Severinsen Gro-Hilde , Berntsen Gro 
Published: February 2021

Background
The Patient-Centered Team (PACT) focuses on the transitional phase between hospital and primary care for older patients in Northern Norway with complex and long-term needs. PACT emphasizes a person-centered care approach whereby the sharing of power and the patient’s response to “What matters to you?” drive care decisions. However, during the COVID-19 pandemic, videoconferencing was the only option for assessing, planning, coordinating, and performing treatment and care.

Objective
The aim of this study is to report the experience of the PACT multidisciplinary health care team in shifting rapidly from face-to-face care to using videoconferencing for clinical and collaborative services during the initial phase of the COVID-19 pandemic. This study explores how PACT managed to maintain person-centered care under these conditions.

Methods
This case study takes a qualitative approach based on four semistructured focus group interviews carried out in May and June 2020 with 19 PACT members and leaders.

Results
The case study illustrates that videoconferencing is a good solution for many persons with complex and long-term needs and generates new opportunities for interaction between patients and health care personnel. Persons with complex and long-term needs are a heterogeneous group, and for many patients with reduced cognitive capacity or hearing and vision impairment, the use of videoconferencing was challenging and required support from relatives or health care personnel. The study shows that using videoconferencing offered an opportunity to use health care personnel more efficiently, reduce travelling time for patients, and improve the information exchange between health care levels. This suggests that the integration of videoconferencing contributed to the preservation of the person-centered focus on care during the COVID-19 pandemic. There was an overall agreement in PACT that face-to-face care needed to be at the core of the person-centered care approach; the main use of videoconferencing was to support follow-up and coordination.

Conclusions
The COVID-19 pandemic and the rapid adoption of digital care have generated a unique opportunity to continue developing a health service to both preserve and improve the person-centered care approach for persons with complex and long-term needs. This creates demand for overall agreements, including guidelines and procedures for how and when to use videoconferencing to supplement face-to-face treatment and care. Implementing videoconferencing in clinical practice generates a need for systematic training and familiarization with the equipment and technology as well as for an extensive support organization. Videoconferencing can then contribute to better preparing health care services for future scenarios.
A Screening Method Using Anomaly Detection on a Smartphone for Patients With Carpal Tunnel Syndrome: Diagnostic Case-Control Study
Authors: Koyama Takafumi , Sato Shusuke , Toriumi Madoka , Watanabe Takuro , Nimura Akimoto , Okawa Atsushi , Sugiura Yuta , Fujita Koji 
Published: February 2021

Background
Carpal tunnel syndrome (CTS) is a medical condition caused by compression of the median nerve in the carpal tunnel due to aging or overuse of the hand. The symptoms include numbness of the fingers and atrophy of the thenar muscle. Thenar atrophy recovers slowly postoperatively; therefore, early diagnosis and surgery are important. While physical examinations and nerve conduction studies are used to diagnose CTS, problems with the diagnostic ability and equipment, respectively, exist. Despite research on a CTS-screening app that uses a tablet and machine learning, problems with the usage rate of tablets and data collection for machine learning remain.

Objective
To make data collection for machine learning easier and more available, we developed a screening app for CTS using a smartphone and an anomaly detection algorithm, aiming to examine our system as a useful screening tool for CTS.

Methods
In total, 36 participants were recruited, comprising 36 hands with CTS and 27 hands without CTS. Participants controlled the character in our app using their thumbs. We recorded the position of the thumbs and time; generated screening models that classified CTS and non-CTS using anomaly detection and an autoencoder; and calculated the sensitivity, specificity, and area under the curve (AUC).

Results
Participants with and without CTS were classified with 94% sensitivity, 67% specificity, and an AUC of 0.86. When dividing the data by direction, the model with data in the same direction as the thumb opposition had the highest AUC of 0.99, 92% sensitivity, and 100% specificity.

Conclusions
Our app could reveal the difficulty of thumb opposition for patients with CTS and screen for CTS with high sensitivity and specificity. The app is highly accessible because of the use of smartphones and can be easily enhanced by anomaly detection.
Työterveyshuollon kirjaamiskäytännöt sairauden liittymisestä työhön ja vaikutuksesta työkykyyn
Authors: Nissinen Sari Päivikki , Soini Satu , Tarvainen Kimmo , Kangas Pauliina , Leino Timo 
Published: February 2021

Työterveyshuollossa on pitkään suositeltu, että työntekijöiden sairauksien liittyminen työhön on aina selvitettävä ja tehtävä siitä kirjaus potilastietojärjestelmään seurannan helpottamiseksi. Kirjaukset tulee tehdä systemaattisesti sisältäen arvioinnit sairauden työhön liittyvyydestä ja vaikutuksesta työkykyyn.
Tämän tutkimuksen tarkoituksena oli selvittää, kuinka työterveyslääkärit ja työterveyshoitajat kirjaavat potilastietojärjestelmiin arvioinnit sairauden työhön liittyvyydestä ja vaikutuksesta työkykyyn. Sähköinen kysely lähetettiin työterveyslääkäreille ja työterveyshoitajille vuonna 2017 ja siihen vastasi 295 henkilöä.
Tulokset osoittivat, että suurella osalla vastaajista sairauden työhön liittyvyys ja vaikutus työkykyyn arviointien kirjaaminen potilastietojärjestelmään oli pakotettu toiminto. Työterveyslääkäreille pakotettu toiminto näytti olevan yleisempää kuin työterveyshoitajille. Moni vastaajista ilmoitti kirjaavansa arvioinnin käyttäen potilastietojärjestelmässä olevan valmiin luokituksen oletusvalintaa, kuten ”ei arvioitu” -valintaa. Työterveyshuollon erikoislääkäreitä ja erikoistuvia yleisempää tämä oli työterveyshuollossa työskentelevien yleislääkäreiden keskuudessa.
Yhtenäinen tapa kirjata sairauden työhön liittyvyyttä ja vaikutusta työkykyyn edistää potilaan työkykyriskien tunnistamista. Kun tieto sairauden työhön liittyvyydestä ja työkyvystä tallennetaan yhteneväisesti potilaskertomukseen, hyödyttää tämä myös työterveyshuollon toteuttamaa ehkäisevää työtä ja työkyvyn tukemista. Tutkimustulosten perusteella voidaan todeta olevan kehitettävää sekä eri potilastietojärjestelmien kirjaamisrakenteissa että työterveyslääkäreiden ja työterveyshoitajien kirjaamistavoissa.
Isolation of a Mycobacteriophage against Mycobacterium smegmatis
Authors: Pereira Raquel M. M. , Oliveira Hugo V. C. , Andrade Suanni L. , Kitajima Elliot W. , Procopio Rudi E. L. 
Published: February 2021

The Mycobacterium genus has important pathogenic species, such as M. leprae and M. tuberculosis, with high incidence in the human population. The number of bacterial strains resistant to antibiotics is steadily increasing, and in particular no new antibiotics have been developed for Mycobacterium. Mycobacteriophages have been shown to be viable alternatives, mainly to counteract antibiotic-resistant bacteria. A new mycobacteriophage (Myms-1) was isolated from sewage in Manaus, Amazonas state, Brazil, with lytic activity against M. smegmatis. Morphological analysis of the Mysm-1 phage shows that it probably belongs to the genus Fromanvirus (family Siphoviridae). It has an icosahedral head with approximate diameter of 50 nm and a long non-contractile tail with approximate length of 200 nm. M. smegmatis is a fast-growing mycobacterium found in the environment that is normally non-pathogenic, so it is a promising bacterium for initial tests of this genus.
THE INFLUENCE ANALYSIS OF HUMAN RESOURCES, CAPITAL INCOME, DEVELOPMENT EXPENDITURE BUDGET AND REAL GRDP ON HUMAN DEVELOPMENT INDEX IN MANDAILING NATAL REGENCY
Authors: Nasution Hamonangan , Nugrahadi Eko Wahyu 
Published: February 2021

Quality of Human Resources in developing countries and poor countries is a very serious issue to be addressed . When the quality of human resources do not keep pace with the progress of time involved will lead to underdevelopment , poverty and unemployment which in turn trigger the overflow gap , inequality and adversity . This study aims to look at and determine how much influence Number of Qualified Persons , Budget Development, Real Gross Domestic Product and Shopping Structural Transformation of the Human Development Index in Mandailing Natal Regency . Used in measuring and analyzing time series data ( time series ) in the form of quarters in the period 2003 : Q1 - 2012 : Q4 . Data analysis using OLS ( Ordinary Least Square ) which is multiple regression . The results showed RHQ variable positive and significant effect on the HDI Mandailing Natal district , ABP variablespositive and significant effect on the HDI Mandailing Natal Regency ,any one significant negative effect on the HDI in Mandailing Natal Regency is Shopping Structural Transformation , while variable GRDPCP positive and significant impact on HDI of Mandailing Natal Regency. in α = 5%. The result of the regression model of HDI policy is R-squered=0,8967 whereas the presence of the model is R-squered BTS= 0,8907 in Mandailing Natal Regency, after the classic test. This means that in thebase stations are very well organized affect HDI, whereas if done deviation will adversely affect the HDI.
ANALYSIS OF BASE AND COMPETITIVE COMMODITIES OF CROP SUBSECTOR AND ITS EFFECT ON GDRP GROWTH OF LANGKAT REGENCY
Authors: Khairina Khalish , Fitrawaty Mrs 
Published: February 2021

Economic Growth is one of indicator which commonly used to observe economic development in a region. Conceptually, economic growth of a region is determined by sector values in producing goods and services. GDRP of Langkat regency is mostly dominated by agriculture, forestry and fisheries sector. Food security that Langkat Regency plan to be achieved really depends on food crops’ supply. However crops’ contribution is decreased every year. Therefore, it’s needed to examine which leading and highly competitive crops’ commodities. This study aimed to determine and analyze a base and competitive crops’ subsector and its effect on GDRP Langkat Regency. LQ was used to determine the base and non base commodities. While the analysis of RCA and MCI were used to see the commodities competitiveness. and to analyse its effect by using Ordinary Least Square. The type of data used was time series since 1996 to 2015 by using Eviews 7.0. Data was obtained from BPS Langkat Regency and Agriculture Department of Langkat Regency. The result of this study showed that paddy, corn, soybean and mungbean were base commodities of crops with average LQ > 1. This study also showed that paddy, corn, soybean and mungbean were highly competitive commodities with average RCA > 1. Average MCI each commodities is > 0,75 showed that commodities trade’s less spread (concentrated). Regression result showed that paddy has positive effect on GDRP growth in supply side (prob RCA 0,0035 < 0,05). Corn also showed that has positive effect on GDRP growth in supply and demand side (prob RCA 0,0016 < 0,05 and MCI 0,0193 < 0,05). Soybean showed that has positive effect on GDRP growth in production supply (LQ 0,0032 < 0,05) and Mungbean also showed that has positive effect on GDRP growth in production supply (LQ 0,0001 < 0,05).
THE FACTORS AFFECTING LABOR DEMAND IN THE FOOD AND TOBACCO INDUSTRY IN NORTH SUMATERA PROVINCE
Authors: Wulandari Sari , Ayu Sari Fajar 
Published: February 2021

Labor demand in North Sumatra during the period 1991 to 2012 showed a fluctuating condition, where in 2001 is decline. This research aims to analyze the influence of the investment sector, the number of industries, the regional minimum wage and inflation on labor demand sectors of the food industry, beverages and tobacco in North Sumatra Province simultaneously and partially. The data used are secondary data source from Statistics Indonesia of North Sumatra Province namely variable investment industry, the number of industries, the minimum wage, inflation and labor amount of food beverages and tobacco industry in North Sumatra province in the time series from 1991 till 2012 Data analysis wasper formed using OLS (Ordinary Least Square) with multiple linear regression models estimated with the help of the program E-views 7. The results of this study simultaneously changes in industry investment variables, the number of industries, RMW, and inflation significantly influence demand labor sector food industry, beverages and tobacco in North Sumatra Province. While partially concluded that the investment variable number of industry sectors and industries and a significant positive effect, negative effect variables and minimum significant wage, while the inflation variable and no significant negative effect on the demand for labor in the industrial sector of food, beverages and tobacco in North Sumatra Province. The results of this study also showed that the most dominant variable effect on labor demand sectors of the food industry, beverages and tobacco in North Sumatra Province is the minimum wage.
New insights into the strong formulation finite
element method for solving elastostatic and
elastodynamic problems
Authors: Fantuzzi Nicholas 
Published: February 2021

Abstract
This present paper has a complete and homogeneous
presentation of plane stress and plane strain problems
using the Strong Formulation Finite Element Method
(SFEM). In particular, a greater emphasis is given to the
numerical implementation of the governing and boundary
conditions of the partial differential system of equations.
The paper’s focus is on numerical stability and accuracy
related to elastostatic and elastodynamic problems.
In the engineering literature, results are mainly reported
for isotropic and homogeneous structures. In this paper, a
composite structure is investigated. The SFEM solution is
compared to the ones obtained using commercial finite element
codes. Generally, the SFEM observes fast accuracy
and all the results are in very good agreement with the
ones presented in literature.
PENGEMBANGAN PEMBELAJARAN BIOLOGI BERORIENTASI MODEL PEMAKNAAN UNTUK MENGAJARKAN KEMAMPUAN AKADEMIK DAN SENSITIVITAS MORAL
Authors: Habibi Habibi 
Published: February 2021

Penelitian ini dilaksanakan dalam dua tahap yakni tahap pertama, mengembangkan perangkat pembelajaran Biologi SMA berorientasi Model Pembelajaran Pemaknaan. Metodenya mengacu pada model pengembangan define, design, and develop. Tahap kedua, mengujicobakan perangkat pembelajaran yang telah dikembangkan pada siswa SMA Negeri 3 Pamekasan. Bertujuan untuk mendeskripsikan aktivitas siswa, respon siswa, hasil belajar siswa berupa kemampuan kognitif dasar, kemampuan berpikir, keterampilan ilmiah dan sensitivitas moral siswa. Rancangan penelitian ini menggunakan one group pretest-posttest design. Hasil Penelitian ini dianalisis dengan statistik deskriptif kuantitatif dan diperoleh beberapa temuan yakni: respon siswa setelah pembelajaran adalah positif dengan prosentase positif 94%. Persentase skor siswa dalam tes kemampuan kognitif dasar adalah 90%. Perolehan skor kemampuan berpikir siswa rata-rata sebesar 2,9, berdasarkan rubrik kemampuan berpikir termasuk pada katagori berpikir kritis. Skor keterampilan ilmiah berkatagori baik sebesar 3,64. Dalam tes sensitivitas moral secara keseluruhan siswa mendapatkan skor rata-rata 3,8 dengan katagori sensitif. Berdasarkan hasil tersebut, dapat dideskripsikan secara umum bahwa perangkat pembelajaran yang telah dikembangkan dapat mengajarkan kemampuan kognitif dasar, kemampuan berpikir, keterampilan ilmiah, dan sensitivitas moral.
Antibacterial Susceptibility of Clinical Isolates of Klebsiella pneumoniae in Nigeria to Carbapenems
Authors: Oladipo Elijah Kolawole , Awoyelu Elukunbi Hilda , Adeosun Idowu Jesulayomi , Ayandele Abiodun A 
Published: February 2021

The emergent bacterial resistance to antibiotics, most especially Carbapenems, has become a common phenomenon. The aim of the recent study was the observation and evaluation of the antibacterial susceptibility of Klebsiella pneumoniae in clinical specimens to different Carbapenems. One hundred isolates of K. pneumoniae isolated from different clinical sites, such as leg, caesarean section (CS), head, buttock, breast, thigh, and arm were tested. Using disc diffusion method, the isolates were tested for susceptibility to different antibiotics including Tobramycin, Ciprofloxacin, Aztreonam, Colistin sulphate, Ceftriaxone, Cefepime, Cefoxitin, Ceftazidime, Ertapenem, Meropenem, and Imipenem. The results were interpreted according to the Clinical and Laboratory Standard Institute disk diffusion standard. All K. pneumoniae isolates were highly susceptible to all classes of Carbapenems: Imipenem (99%), Meropenem (96%) and Ertapenem (91%). However, they were highly resistant to Ciprofloxacin (97%), Ceftriaxone (91%) and Tobramycin (73%). Despite the recent emergence of multi-drug resistant bacteria to Carbapenems, this study showed that Carbapenems could still be used in treating different infections caused by multi-drug resistant K. pneumoniae.
The Effect of Google Classroom in Blended Learning on University Students’ English Ability
Authors: Warman Liya Astarilla Dede 
Published: February 2021

This research aimed to investigate Google Classroom's effect on blended learning on university students’ English ability. This research utilized a quasi-experimental design which included experimental and control group design. The study participants comprised 68 students in the first semester at STMIK-AMIK Riau in Pekanbaru-Riau, Indonesia. This research instrument was an achievement test in multiple-choice questions administered to the participants in pre-test and post-test. The quantitative data were collected by using pre-test and post-test to gauge the students’ English ability before and after conducting the treatments in both groups. The finding revealed that statistically, there was a significant difference in the mean score between the experimental and control group in the post-test. The experimental group that learned English through Google Classroom in blended learning achieved a significantly higher score than control group that learned English through the conventional method. It was proved that the t-test was higher than the t-table value (5.270>2.042) at the level of significance 0.05 and p=0.000. This study concluded that blended learning through Google Classroom had contributed to the improvement of students’ English ability.
An in-depth performance analysis of the oversampling techniques for high-class imbalanced dataset
Authors: Wibowo Prasetyo , Fatichah Chastine 
Published: February 2021

Class imbalance occurs when the distribution of classes between the majority and the minority classes is not the same. The data on imbalanced classes may vary from mild to severe. The effect of high-class imbalance may affect the overall classification accuracy since the model is most likely to predict most of the data that fall within the majority class. Such a model will give biased results, and the performance predictions for the minority class often have no impact on the model. The use of the oversampling technique is one way to deal with high-class imbalance, but only a few are used to solve data imbalance. This study aims for an in-depth performance analysis of the oversampling techniques to address the high-class imbalance problem. The addition of the oversampling technique will balance each class’s data to provide unbiased evaluation results in modeling. We compared the performance of Random Oversampling (ROS), ADASYN, SMOTE, and Borderline-SMOTE techniques. All oversampling techniques will be combined with machine learning methods such as Random Forest, Logistic Regression, and k-Nearest Neighbor (KNN). The test results show that Random Forest with Borderline-SMOTE gives the best value with an accuracy value of 0.9997, 0.9474 precision, 0.8571 recall, 0.9000 F1-score, 0.9388 ROC-AUC, and 0.8581 PRAUC of the overall oversampling technique.