bluuebunny/crossref_metadata_2025 huggingface dataset:
The effects of maternal depression on mothers’ perceptions of the emotional and behavioural problems of their internationally adopted children
Authors: Liskola Krista , Raaska Hanna , Lapinleimu Helena , Lipsanen Jari , Sinkkonen Jari , Elovainio Marko
Published: March 2021

Background: Even though child psychopathology assessment guidelines emphasise comprehensive multi-method, multimodal, and multi-informant methodologies (Pelham, Fabiano, & Massetti, 2005), maternal report symptom-rating scales often serve as the predominant source of information. Research has shown that parental mood symptomatology affects their reports of their offspring’s psychopathology. For example, the depression-distortion hypothesis suggests that maternal depression promotes a negative bias in mothers’ perceptions of their children’s behavioural and emotional problems (Gartstein, Bridgett, Dishion, & Kaufman, 2009). We investigated this difference in perception between adoptive mothers and their internationally adopted children. Most previous studies have suffered from the potential bias caused by the fact that parents and children share genetic risks. Our study design allows the elimination of passive gene-environment correlation, which is a phenomenon that occurs when there is a shared genetic background between a rearing parent and a child (Harold et al., 2011; Jaffee & Price, 2007; Price & Jaffee, 2008).Methods: Data were derived from the Finnish Adoption (FinAdo) survey study (a subsample of adopted children aged between 9 and 12 years; N = 222). The Child Behavior Checklist (CBCL) (Achenbach & Ruffle, 2000) was used to assess the emotional and behavioural problems and competences of the adopted children. The CBCL was completed by the adoptive mothers and the adopted children. Maternal depressive symptoms were measured using the short version of the General Health Questionnaire (Goldberg & Hillier, 1979).Results: On average, mothers reported fewer total CBCL symptoms in their children than the children themselves (0.25 vs 0.38, p-value < 0.01 for difference). Mothers’ depressive symptoms moderated the discrepancy in reporting internalizing symptoms (β = -0.14 and p-value 0.01 for interaction), the total symptoms scores (β = -0.22 and p-value < 0.001 for interaction), and externalizing symptoms in girls in the CBCL.Limitations: The major limitation of our study was its cross-sectional design and the fact that we only collected data in the form of questionnaires.Conclusions: The results of our research support the depression-distortion hypothesis concerning the association between maternal depressive symptoms and child internalizing symptoms and externalizing symptoms in girls in a sample without genetic bias.
The Comparisons of Three Stapler Placement Methods for Intrathoracic Mechanistic Circular Stapling in Ivor Lewis Minimally Invasive Esophagectomy
Authors: Zhang Bo , Wu Zi xiang , Wang Qi , Pan Sai Bo , Wang Lian , Shen Gang , Chai Hui Ping , Wu Ming
Published: March 2021

Objectives: To analyze the impact of the reversal penetrating technique (RPT) for intrathoracic gastroesophageal mechanical anastomosis on the development of anastomotic complications in Ivor Lewis minimally invasive esophagectomy (ILMIE) and further identify the risk factors for the development of anastomotic leakage and stricture.Methods: A retrospective observational study was conducted using clinical data of 316 patients with esophageal carcinoma (EC) who underwent ILMIE from January 2012 to December 2019. The participants were divided into three groups of RPT, transoral Orvil technique (TOT), or purse-string technique (PST) according to the different stapler placenent methods for intrathoracic mechanistic circular stapling. Multivariable analysis was performed to investigate the association of risk factors with anastomotic leakage and stricture.Results: There were 154 patients with RPT, 78 with TOT and 84 with PST intrathoracic gastroesophageal circular stapling in ILMIE. There was no differences in intraoperative anastomosis related conditions inclouding conversion of open operations, ways of esophageal reconstruction, lymph nodes harvested between the three groups. Whereas, The mean total operative time, and gastroesophageal anastomosis time in the RPT group were significantly shorter than those in other groups (both p<0.05). The rates of anastomotic leakage and stricture showed no statistical differences between three groups, respectively (Leakage: p=0.941; Stricture: p=0.942). Multivariate analysis revealed that the PRT method of the anvil placement does not increase the probability of anastomotic leakage (PRT: reference; TOT: odds ratio(OR) 2.845, P=0.255; PST: OR 2.234, p=0.242) and stricture (PRT: reference; TOT: OR 1.976, P=0.556; PST: OR 1.872, p=0.284).Conclusions: The PRT method of the anvil placement for intrathoracic gastroesophageal circular stapling does not increase the risk of anastomotic complications in ILMIE, but had significantly shorter surgical time and anastomosis time.
Securing Against DoS/DDoS Attacks in Internet of Flying Things using Experience-based Deep Learning Algorithm
Authors: Khan Inam Ullah , Abdollahi Arsin , Khan Muhammad Asghar , Uddin Irfan , Ullah Insaf
Published: March 2021

Due to the limited computational resources of small unmanned aerial vehicles (UAVs), the Internet of flying things (IoFT) is vulnerable to cybersecurity attacks, particularly Denial of Service (DoS) and Distributed Denial of Service (DDoS) attacks. In addition, the transfer of reliable information from source UAV to destination UAV is another big challenge in IoFT networks. Therefore, this article aims to address the security deficiency by proposing an experience-based deep learning algorithm to cater to the DoS, D-DoS and a special kind of threat covering ping-of-death attacks. The proposed scheme uses the notion of the intrusion detection system (IDS). In addition, for reliable communication, a nature-based control routing algorithm AntHocNet is investigated with other contemporary protocols. The proposed approach is implemented in a smart city environment as a case study. The result authenticates the superiority of the proposed schemes in terms of security and QoS requirement from its counterparts.
Development and validation of a risk index to predict kidney graft survival: the Kidney Transplant Risk Index
Authors: Senanayake Sameera , Kularatna Sanjeewa , Healy Helen , Graves Nicholas , Baboolal Keshwar , Sypek Matthew P. , Barnett Adrian
Published: March 2021

BackgroundKidney graft failure risk prediction models assist evidence-based medical decision-making in clinical practice. Our objective was to develop and validate statistical and machine learning predictive models to predict death-censored graft failure following deceased donor kidney transplant, using time-to-event (survival) data in a large national dataset from Australia. MethodsData included donor and recipient characteristics (n=98) of 7,365 deceased donor transplants from January 1st, 2007 to December 31st, 2017 conducted in Australia. Seven variable selection methods were used to identify the most important independent variables included in the model. Predictive models were developed using: survival tree, random survival forest, survival support vector machine and Cox proportional regression. The models were trained using 70% of the data and validated using the rest of the data (30%). The model with best discriminatory power, assessed using concordance index (C-index) was chosen as the best model. ResultsTwo models, developed using cox regression and random survival forest, had the highest C-index (0.67) in discriminating death-censored graft failure. The best fitting Cox model used seven independent variables and showed moderate level of prediction accuracy (calibration). ConclusionThis index displays sufficient robustness to be used in pre-transplant decision making and may perform better than currently available tools.
Performance of a deep learning system for automatic diagnosis of protruding lesions in colon capsule endoscopy: a multicentric study
Authors: Saraiva Miguel José Mascarenhas , Ferreira João , Cardoso Helder , Afonso João , Ribeiro Tiago , Andrade Patricia , Parente Marco , Natal Renato , Saraiva Miguel Mascarenhas , Macedo Guilherme
Published: March 2021

Colon capsule endoscopy (CCE) represents a landmark in minimally invasive exploration of the colonic mucosa for patients with contraindications for a conventional colonoscopy, or for whom the latter exam is unwanted or unfeasible. Colorectal neoplasia is the most common lesion found in CCE. The widespread acceptance of CCE as a non-invasive diagnostic method is particularly important in the setting of colorectal cancer screening. However, reviewing these exams is a time-consuming process as they generate a large number of frames, with the risk of overlooking important lesions. We aimed to develop an artificial intelligence (AI) algorithm using a convolutional neural network (CNN) architecture for the automatic detection of colonic protruding lesions. A CNN was constructed using an anonymized database of CCE images collected from a total of 124 patients. This database included images of patients with colonic protruding lesions or patients with normal colonic mucosa or with other pathologic findings. A total of 5715 images (2410 protruding lesions, 3305 normal mucosa or other findings) were extracted for CNN development. Two image datasets were created and used for training and validation of the CNN. The performance of the CNN was measured by calculating the area under the receiving operating characteristic curve (AUROC), sensitivity, specificity, positive and negative predictive values (PPV and NPV, respectively). The AUROC for detection of protruding lesions was 0.99. The sensitivity, specificity, PPV and NPV were 90.0%, 99.1%, 98.6% and 93.2%, respectively. The overall accuracy of the network was 95.3%. The developed deep learning algorithm accurately detected protruding lesions in CCE images. The introduction of AI technology to CCE may increase its diagnostic accuracy and acceptance for the screening of colorectal neoplasia.
The Impact of Nonresponse in Different Survey Phases on the Precision of Prevalence Estimates
Authors: Ma Ming
Published: March 2021

Objective

Survey research is widely used in social studies. Whereas it has been widely known that nonresponse might produce biased results and impair the precision, the pattern of the impact on the precision of the estimate due to the non-response in the different survey stages is historically overlooked, though such information is essential to guide the recruitment plan. This study proposed to examine and compare the effect of first and second level nonresponse on the precision of prevalence estimates in the multi-stage survey studies. Based on the benchmark dataset from a state level survey, we used simulation approach to create datasets with different first and second level nonresponse rates and then compare the margin of error (an indicator for the precision) for the 12 outcomes between datasets with first vs. second level nonresponse.
Results

At the same nonresponse rate, the mean margin of error was greater for the data with first level nonresponse, compared to the data with second level nonresponse. As the nonresponse rate increased, the loss of precision was more inflated with the data with first level nonresponse, suggesting that the effort for recruiting primary sampling units is more crucial to improve the estimate precision in survey studies.
Frozen vs. Fresh Cycles IVF Outcomes: Retrospective study from an Indonesian IVF centre
Authors: Permadi Wiryawan , Bayuaji Hartanto , Tjandraprawira Kevin , Tjahyadi Dian , Harlianto Harris , Achmad Yanni Melliandari , Astarto Nanang Winarto , Djuwantono Tono
Published: March 2021

Objective
to compare the live birth rates (LBR) and neonatal outcomes of frozen cycle in vitro fertilization (IVF) with fresh cycle IVF in the Indonesian population.
Results
This was retrospective study using secondary data of IVF patients at a private fertility centre. Study recruitment was between 3/8/2018−31/12/2019. Total sampling included all patients undergoing oocyte retrieval and embryo transfer within recruitment period. Patients undergoing fresh IVF cycles and frozen IVF cycles were compared. 351 patients were recruited: 68.1% (239/351) underwent fresh cycles and 31.9% (112/351) frozen cycles. AMH was significantly higher in frozen cycle group (p = 0.04). Ovulatory disorder was significantly higher in frozen cycle group (p = 0.001). Among patients aged ≤ 30, fresh cycle group had significantly higher LBR (p = 0.02). Among those with ovulatory disorder, LBR was significantly higher with frozen cycle. No significant LBR difference was noted with other infertility causes. When stratified according to pregnancy order, frozen cycle patients had significantly higher birth lengths (p = 0.03) but not length of gestation nor neonatal birthweights. There was no significant difference in the proportion of biochemical pregnancy resulting in LBR (p = 0.08).
Observed and projected changes in extreme drought and wet-prone regions over India under CMIP5 RCP8.5 using a new vulnerability index
Authors: Jena Pravat , azad sarita
Published: March 2021

Past versions of vulnerability index have shown ability to detect susceptible region by assessing socio-economic parameters at local scales. However, due to variability of these vulnerability index respect to socio-economic parameters, cann’t be utilized to predict the susceptibility region. The present endeavor aims to develops a new vulnerable index which identify and predict the spatio-temporal imprint of extreme drought and wet events at various scales 1o×1o in India by analyzing monthly observed and Coupled Model Inter-Comparison Phase 5 (CMIP5) rainfall data at spatial scale of time period pertaining to 1901-2100. New vulnerability index is proposed by consolidating the outcomes of Standard Precipitation Index (SPI) at different time scales such as 3- and 12-month and along with weights of individual grids. The weights of individual grid is calculated through the occurrence of extreme drought and wet events in the recent past which is to include a climate change factor in the proposed index. Based on the spatial distribution of high index values, the expected vulnerable regions concerning extreme drought events will be in Northeast, Northeast Central, East Coast, West, Northwest, Northcentral, and some grids in South part of India. Similarly, vulnerable regions concerning extreme wet events are likely to be in the Northeast, West Coast, East Coast, and some grids in the Peninsular region.Further, a conceptual model is presented to quantify the severity of extreme events. The analyses reveal that on the CMIP5 model data, it is obtained that 2024, 2026-27, 2035, 2036-37, 2043-44, 2059-60, 2094 are likely to be the most prominent drought years in all-India monsoon rainfall and their impact will persist for a longer time. Similarly, the most prominent wet events are predicted to be 2076, 2079-80, 2085, 2090, 2092, and 2099.
Modelling and forecasting monthly Brent crude oil prices: a long memory and volatility approach
Authors: Shaher Al-Gounmeein Remal , Ismail Mohd Tahir
Published: March 2021

The Standard Generalised Autoregressive Conditionally Heteroskedastic (sGARCH) model and the Functional Generalised Autoregressive Conditionally Heteroskedastic (fGARCH) model were applied to study the volatility of the Autoregressive Fractionally Integrated Moving Average (ARFIMA) model, which is the primary objective of this study. The other goal of this paper is to expand on the researchers’ previous work by examining long memory and volatilities simultaneously, by using the ARFIMA-sGARCH hybrid model and comparing it against the ARFIMA-fGARCH hybrid model. Consequently, the hybrid models were configured with the monthly Brent crude oil price series for the period from January 1979 to July 2019. These datasets were considered as the global economy is currently facing significant challenges resulting from noticeable volatilities, especially in terms of the Brent crude prices, due to the outbreak of COVID-19. To achieve these goals, an R/S analysis was performed and the aggregated variance and the Higuchi methods were applied to test for the presence of long memory in the dataset. Furthermore, four breaks have been detected: in 1986, 1999, 2005, and 2013 using the Bayes information criterion. In the further section of the paper, the Hurst Exponent and Geweke-Porter-Hudak (GPH) methods were used to estimate the values of fractional differences. Thus, some ARFIMA models were identified using AIC (Akaike Information Criterion), BIC (Schwartz Bayesian Information Criterion), AICc (corrected AIC), and the RMSE (Root Mean Squared Error). In result, the following conclusions were reached: the ARFIMA(2,0.3589648,2)-sGARCH(1,1) model and the ARFIMA(2,0.3589648,2)-fGARCH(1,1) model under normal distribution proved to be the best models, demonstrating the smallest values for these criteria. The calculations conducted herein show that the two models are of the same accuracy level in terms of the RMSE value, which equals 0.08808882, and it is this result that distinguishes our study. In conclusion, these models can be used to predict oil prices more accurately than others.
Measurement of enterprise mobility among size classes, taking into account business demography
Authors: Ferretti Camilla
Published: March 2021

A extensive body of literature is devoted to the production of mobility measures based on transition matrices. The applications often involve panel data, and yet the impact of demographic events on enterprise mobility is not considered. The article aims provide a definition of enterprise mobility, in terms of the capability to create or liquidate jobs. Moreover, some existing mobility measures are modified so that they also take into account newborn and exiting firms. The proposed index has all the relevant basic properties which make it a rigorous descriptive statistics. The mobility of Italian capital-owned enterprises in the years 2010 – 2017 is analysed in the case study.

What we propose may be an alternative tool for practitioners to measure the degree of mobility in the presence of demographic events. It may be considered an initial step in future research regarding its different applications (e.g. labour market flows or movements among income classes), also considering more complex theoretical backgrounds.
Estimation of the number of residents included in a population frame
Authors: Krapavickaitė Danutė
Published: March 2021

A high migration rate of a population causes the number of a country’s residents to become extremely volatile, which negatively affects the quality of population frames. The aim of the paper is to present a method for estimating the number of residents included in a study population frame. The method involves the cross-classification of a population register with other databases which contain information relating to the activities of the population elements in a given country. The estimates from an ongoing sample survey are applied to some of the cells.
A new family of robust regression estimators utilizing robust regression tools and supplementary attributes
Authors: Sajjad Irsa , Hanif Muhammad , Koyuncu Nursel , Shahzad Usman , Al-Noor Nadia H.
Published: March 2021

Zaman and Bulut (2018a) developed a class of estimators for a population mean utilising LMS robust regression and supplementary attributes. In this paper, a family of estimators is proposed, based on the adaptation of the estimators presented by Zaman (2019), followed by the introduction of a new family of regression-type estimators utilising robust regression tools (LAD, H-M, LMS, H-MM, Hampel-M, Tukey-M, LTS) and supplementary attributes. The mean square error expressions of the adapted and proposed families are determined through a general formula. The study demonstrates that the adapted class of the Zaman (2019) estimators is in every case more proficient than that of Zaman and Bulut (2018a). In addition, the proposed robust regression estimators based on robust regression tools and supplementary attributes are more efficient than those of Zaman and Bulut (2018a) and Zaman (2019).The theoretical findings are supported by real-life examples.
Analysing the impact of dependency on conditional survival functions using copulas
Authors: Safari-Katesari Hadi , Zaroudi Samira
Published: March 2021

Nowadays, insurance contract reserves for coupled lives are considered jointly, which has a significant influence on the process of determining actuarial reserves. In this paper, conditional survival distributions of life insurance reserves are computed using copulas. Subsequently, the results are compared with an independence case. These calculations are based on selected Archimedean copulas and apply when the ‘death of one individual’ condition exists. The estimation outcome indicates that the insurer reserves calculated by means of Archimedean copulas are far more effective than those resulting from an independence assumption. The study demonstrates that copula-based dependency modelling improves the calculations of reserves made for actuarial purposes.
Correlating Spatial Pattern of Canopy Greenness Derived from the NDVI with Hydrological Characteristics of Small Island Watersheds
Authors: Latuamury Bokiraiya , Talaohu Moda
Published: March 2021

Watershed ecosystem monitoring and evaluation indicators need to factor in land cover/use change rationally and adaptively. Vegetation canopy greenness can be utilized to seek an accurate solution to various land cover/use change issues, for example, by applying the Normalized Difference Vegetation Index (NDVI) algorithm. This research set out to analyze the relationship between the spatial pattern of canopy greenness and small island watersheds’ hydrological characteristics. It used NDVI algorithm extraction and BFLOW+ 3.0 filter in the HydroOffice 12.0 program and then examined the two resulting datasets using correlation analysis. The results showed that the spatial pattern of canopy greenness derived from NDVI changed significantly near the river mouth. The densely populated settlements in the coastal stretch continued to sprawl towards mountainous regions, which naturally function as recharge zones. Meanwhile, the hydrological characteristics displayed a fluctuating trend during the observation period (2015-2019). Based on the correlation analysis, canopy greenness patterns and hydrological features form a positive and relatively strong relationship (38.8%). For this reason, ecological shifts in small island watersheds require climate change mitigation and adaptation measures.
Vraag & Antwoord
Authors: Snoeck F. , Declercq J. , de Kruif A.
Published: March 2021

Fibroadenomateuze melkklierhyperplasie bij de kat
Behandeling van mycetoma bij de kat
Behandeling van retentio secundarum bij het rund
Vraag & Antwoord
Authors: Defauw P. , Vande Maele L. , Maes D. , Van Immerseel F.
Published: March 2021

Cystocentese en abdominocentese bij hond en kat
Aanpak van dysenterie op varkensbedrijven
Knaagdierenbestrijding op veebedrijven
EKSPERIMEN PADA STRUKTUR PILE CAP TIGA TIANG DENGAN METODE STRUT AND TIE MODEL
Authors: Sedayu Maulana Agung , Sulistyo Djoko , Aminullah Akhmad
Published: March 2021

ABSTRACTIn general, the design of the pile cap structure still uses conventional method assuming all regions experience linear strain. However, in reality the strain distribution in the cross section of the structure is not always linear so that a rational analysis method is needed with the assumption that is close to the actual condition using the strut and tie model method. This study aims to determine the behavior of crack pattern in the pile cap designed using the strut and tie model method (SNI 2847:2013 Appendix A) compared to conventional methods (SNI 2847:2013 Article 15). The specimen is the pile cap with three-piles and concentrated load, each of which has three methods. Loading is a static load that is channeled through a column located centric towards the structure of the pile cap. The results show that: the entire test object based on the two methods have flexural crack pattern. The average load capacity of the first crack (Pcr) on the specimen was designed using the strut and tie model and the conventional method were 239.0 kN and 193.7 kN. The average of crack width on the specimen using the strut and tie model and the conventional method were 0.68 mm and 3.88 mm.Keywords: crack pattern, pile cap, three-piles, strut and tie model ABSTRAK Pada umumnya perancangan struktur pile cap masih menggunakan metode konvensional dengan asumsi semua daerah mengalami regangan linier. Akan tetapi pada kenyataannya distribusi regangan pada penampang struktur tidak selalu linier sehingga diperlukan suatu metode analisis yang rasional dengan asumsi yang mendekati kondisi sebenarnya yaitu menggunakan metode strut and tie model. Penelitian ini bertujuan untuk mengetahui perilaku pola retak pada pile cap yang dirancang dengan metode strut and tie model (SNI 2847:2013 Lampiran A) dibandingkan dengan metode konvensional (SNI 2847:2013 Pasal 15). Pada setiap metode terdiri dari tiga buah benda uji berupa pile cap tiga tiang dengan beban sentris. Pembebanan berupa beban statis yang disalurkan melalui kolom yang terletak sentris terhadap struktur pile cap. Hasil pengujian menunjukkan bahwa keseluruhan benda uji berdasarkan kedua metode mempunyai pola retak lentur (flexural crack). Untuk rata-rata kapasitas beban saat retak pertama (Pcr) pada benda uji yang dirancang menggunakan metode strut and tie model dan metode konvensional adalah sebesar 239,0 kN dan 193,7 kN. Kemudian rata-rata lebar retak pada benda uji menggunakan metode strut and tie model dan metode konvensional adalah sebesar 0,68 mm dan 3,88 mm. Kata kunci: pola retak, pile cap, tiga tiang, strut and tie model
Contribution of Free-Text Comments to the Burden of Documentation: Assessment and Analysis of Vital Sign Comments in Flowsheets (Preprint)
Authors: Yin Zhijun , Liu Yongtai , McCoy Allison B , Malin Bradley A , Sengstack Patricia R
Published: March 2021

BACKGROUND

Documentation burden is a common problem with modern electronic health record (EHR) systems. To reduce this burden, various recording methods (eg, voice recorders or motion sensors) have been proposed. However, these solutions are in an early prototype phase and are unlikely to transition into practice in the near future. A more pragmatic alternative is to directly modify the implementation of the existing functionalities of an EHR system.

OBJECTIVE

This study aims to assess the nature of free-text comments entered into EHR flowsheets that supplement quantitative vital sign values and examine opportunities to simplify functionality and reduce documentation burden.

METHODS

We evaluated 209,055 vital sign comments in flowsheets that were generated in the Epic EHR system at the Vanderbilt University Medical Center in 2018. We applied topic modeling, as well as the natural language processing Clinical Language Annotation, Modeling, and Processing software system, to extract generally discussed topics and detailed medical terms (expressed as probability distribution) to investigate the stories communicated in these comments.

RESULTS

Our analysis showed that 63.33% (6053/9557) of the users who entered vital signs made at least one free-text comment in vital sign flowsheet entries. The user roles that were most likely to compose comments were registered nurse, technician, and licensed nurse. The most frequently identified topics were the notification of a result to health care providers (0.347), the context of a measurement (0.307), and an inability to obtain a vital sign (0.224). There were 4187 unique medical terms that were extracted from 46,029 (0.220) comments, including many symptom-related terms such as “pain,” “upset,” “dizziness,” “coughing,” “anxiety,” “distress,” and “fever” and drug-related terms such as “tylenol,” “anesthesia,” “cannula,” “oxygen,” “motrin,” “rituxan,” and “labetalol.”

CONCLUSIONS

Considering that flowsheet comments are generally not displayed or automatically pulled into any clinical notes, our findings suggest that the flowsheet comment functionality can be simplified (eg, via structured response fields instead of a text input dialog) to reduce health care provider effort. Moreover, rich and clinically important medical terms such as medications and symptoms should be explicitly recorded in clinical notes for better visibility.
Physicians’ Use of the Computerized Physician Order Entry System for Medication Prescribing: Systematic Review (Preprint)
Authors: Mogharbel Asra , Dowding Dawn , Ainsworth John
Published: March 2021

BACKGROUND

Computerized physician order entry (CPOE) systems in health care settings have many benefits for prescribing medication, such as improved quality of patient care and patient safety. However, to achieve their full potential, the factors influencing the usage of CPOE systems by physicians must be identified and understood.

OBJECTIVE

The aim of this study is to identify the factors influencing the usage of CPOE systems by physicians for medication prescribing in their clinical practice.

METHODS

We conducted a systematic search of the literature on this topic using four databases: PubMed, CINAHL, Ovid MEDLINE, and Embase. Searches were performed from September 2019 to December 2019. The retrieved papers were screened by examining the titles and abstracts of relevant studies; two reviewers screened the full text of potentially relevant papers for inclusion in the review. Qualitative, quantitative, and mixed methods studies with the aim of conducting assessments or investigations of factors influencing the use of CPOE for medication prescribing among physicians were included. The identified factors were grouped based on constructs from two models: the unified theory of acceptance and use of technology model and the Delone and McLean Information System Success Model. We used the Mixed Method Appraisal Tool to assess the quality of the included studies and narrative synthesis to report the results.

RESULTS

A total of 11 articles were included in the review, and 37 factors related to the usage of CPOE systems were identified as the factors influencing how physicians used CPOE for medication prescribing. These factors represented three main themes: individual, technological, and organizational.

CONCLUSIONS

This study identified the common factors that influenced the usage of CPOE systems by physicians for medication prescribing regardless of the type of setting or the duration of the use of a system by participants. Our findings can be used to inform implementation and support the usage of the CPOE system by physicians.
Oviposition Preference of Bactrocera dorsalis Hendel (Diptera: Tephritidae) on Different Fruit in Snake Fruit Orchard
Authors: Fitrah Rahmi , Pranowo Deni , Suputa Suputa
Published: March 2021

The oriental fruit fly Bactocera dorsalis (Hendel) is an important pest of snake fruit (Salacca zalacca) in Sleman District. Due to the high level of damage by the fruit flies, it is necessary to do. The aim of this research was to find out suitable fruit traps, by testing the oviposition preferences of the fruit flies in the orchard to lay eggs on several types of fruit. The research was done in snake fruit orchard located at Sleman Yogyakarta and owned by farmers, while the Lab works were done at the Laboratory of Entomology, Department of Plant Protection, Faculty of Agriculture, Universitas Gadjah Mada. All researches were done between April-June 2019. Guava (Psidium guajava), watery rose apples (Syzygium aqueum), starfruit (Averrhoa carambolae), and snake fruit (Salacca zalacca) were used as trap crops. Each fruit, with the same maturity level, was hung 1.5 m above the ground for 4 days with 12 days total trapping at intervals of 3 times. After the test, each fruit was taken and the insects in it were reared in the laboratory. The number of pupae and flies that emerged from each fruit was counted and compared. The results showed that in the orchard 1 as well as  2, of guava fruit produced the highest number of (151 pupae) followed by salak (94 pupae), star fruit (83 pupae), and water guava (2 pupae). The finding of seeds shows that guava fruit is the most suitable host for the fruit flies to be used in the trapping, followed by star fruit and watery guava.
ANALISIS KADAR PROTEIN PADA TEPUNG JAGUNG, TEPUNG UBI KAYU DAN TEPUNG LABU KUNING DENGAN METODE KJEDHAL
Authors: Nisah Khairun , Afkar Majral , Sa'diah Halimatun
Published: March 2021

Protein is a polymer consisting of amino acid monomers which are connected to form linear bonds called Peptide bonds. The presence of nitrogen is a special feature of protein compounds because this element is not found in simple fat and carbohydrate compounds. This study aims to determine the protein content in corn flour, cassava flour, and pumpkin flour using the Kjedhal method. Protein analysis by the Kjedhal method is basically divided into three stages, namely: the destruction stage, the distillation stage, and the titration stage. The results showed that the protein content in corn flour was 9.32%, cassava flour was 8.45%, and pumpkin flour was 0.62%. The conclusion of this study is the greatest protein content found in corn flour.
Effect of relative humidity on evaporation rates in Nabatieh Region
Authors:   The Doctoral School of Literature, Humanities and Social Sciences, Department of Geography, Beirut, Lebanon, Farhat Nasser
Published: March 2021

Relative humidity affects evaporation, whichisin turn is affected by several climatic parameters. This effect is on the increaseas a result of climate changes, especially increasedtemperature.Nabatiyeh region, insouth Lebanon, was selected for this study, even thoughcomprehensive climaterecords are not available. Instead, data from an experimentalmeteorological station capable of providing all climatic parameters digitally, which includes an evaporation basin of the form A, was used.This study providedexplanations of the general climate in the study area.This includesaverage annual temperature, precipitation and evaporation. Factors affecting relative humiditywere determined.It was found that theevaporationvalueschanged by thechangingdirection of the prevailing wind,andfluctuating higher valueswere recorded in autumn, due to the south-eastern dry winds, which lead to a fluctuation in the amount of daily evaporation.An inverse relationship between relative humidity and evaporationwas observed, with significant correlation between them. The net effect of relative humidity onevaporationwas investigated in this studyby comparing data in two days in which the values of other climatic factors affecting evaporation were the same. It was found that the amount of daily evaporation increased by 80% when the relative humidity declined to 53%.Most likely, in the coming years, the region is moving towards more water stress in light of changes in climatic parameters.
The contour feathers of water birds exhibit adaptations to the impact forces of diving, plunging and alighting
Authors: Rijke Arie , Jesser William , Barnard Gustav , Coertze Roelof , Bouwman Henk
Published: March 2021

Abstract: The contour feathers of water birds are well-known to show
structural details in their distal one-third that optimally confer water
repellency and resistance to water penetration. In this study, these
details were further examined to see if they also provide resistance to
the impact forces of diving and alighting. To this end, 49 species
representing 37 water bird families were grouped into nine foraging
niches before measurement of length, diameter, and spacing of their
barbs. Twelve land bird species grouped into two foraging niches were
included in this study for comparison. These measurements allowed the
calculation of the ranges and medians for barb stiffness and vane
deflection for each foraging niche. A phylogenetic ANOVA approach was
followed to determine if the foraging niches for water and land birds
explain differences in feather microstructure while accounting for
phylogenetic relationships. There were no significant group aggregations
for water or land birds confirming the statistical reliability of the
ANOVA approach. Differences between the deflection parameter medians of
water and land bird foraging niches proved significant demonstrating an
evolutionary distinction between these groups. No such difference was
observed for the two land bird foraging niches indicating similarity in
feather structure. For the water birds, significance was found among all
aquatic niches showing that differences in feather microstructure are
associated with respect to differences in aquatic feeding niches. These
findings support the notion that evolutionary adaptations of feather
traits are significant across bird species and their respective foraging
niches. The observed mechanical and morphological variations of feathers
are therefore considered adaptations to different habitats and
behavioral patterns.
Registered report protocol: Evaluation of a contextualized teaching evaluation project
Authors: Matas-Terron Antonio , Leiva Juan , Caballero Pablo Daniel Franco
Published: March 2021

Teacher evaluation can be an underused resource for teaching
improvement, as it is reduced to a single questionnaire to be answered
by students. The lack of flexibility and adaptability prevents them from
developing their potential.

This paper provides a record of the protocol that is being applied in a
relation to an educational innovation project that aims to develop a
contextualized alternative to the current system of teaching assessment
that is being carried out at the University of Malaga (Spain).

For this purpose, an evaluation based on the Contribution Analysis is
being carried out (Mayne, 2008). This procedure is based on the
project’s Theory of Change (Roger, 2014) from which a procedure is
established to confirm the causality of the changes observed. The
procedure is currently underway and the first partial results are
expected by the end of 2021.

The results of the evaluation will make it possible to assess the
efficiency of the project, as well as its capacity to solve the problems
of questionnaire-based teaching evaluation.

Resumen

La evaluación docente puede ser un recurso infrautilizado para la mejora
de la enseñanza, ya que se reduce a un solo cuestionario para ser
respondido por los estudiantes. La falta de flexibilidad y adaptabilidad
les impide desarrollar su potencial.

Este artículo proporciona un registro del protocolo que se está
aplicando en relación a un proyecto de innovación educativa que tiene
como objetivo desarrollar una alternativa contextualizada al actual
sistema de evaluación docente que se está llevando a cabo en la
Universidad de Málaga (España).

Para ello, se está realizando una evaluación basada en el Análisis de
Contribuciones (Mayne, 2008). Este procedimiento se basa en la Teoría
del Cambio del proyecto (Roger, 2014) a partir del cual se establece un
procedimiento para confirmar la causalidad de los cambios observados. El
procedimiento está actualmente en curso y se esperan los primeros
resultados parciales para finales de 2021. Los resultados de la
evaluación permitirán valorar la eficacia del proyecto, así como su
capacidad para resolver los problemas de evaluación docente mediante
cuestionarios.
Study of ecology and interrelationship of parameters in two Ecologically Different Beels in Gangetic plain of West Bengal, India
Authors: Ziauddin Golam
Published: March 2021

Physical, chemical, and biological parameters of the Kole (Open type)
and Suguna (Closed type) wetlands have been investigated from January
2011 to December 2013. These lakes are locally called as Baur.The work
has been carried out for one and half year period from nov 2011- May2013
in different seasons viz. monsoon, post monsoon and premonsoon
respectively in order to assess water quality parameters and diversity
of biotic communities. The present article attempts to investigate the
possible interrelationship among the physicochemical parameters and
biotic communities of both the beels. During the investigation,
zooplankton diversity was observed high in the wetland. Rotifers were
the most dominant group followed by Cladocera, Copepoda, Protozoa and
Ostracoda during the investigation. There is a high density of
zooplankton in monsoon than compare to other seasons indicate good water
quality and less pollution load in both beels. These investigations will
be the basic guidelines for the researcher in the field of ecology of
beels. The comparison of the ecological parameters of these two lakes is
attempted in the present investigation. The study aim to investigate the
diversity of biotic communities in relation to physico-chemical
parameters of surface water in gangetic plain. Physico-chemical
parameters of both the beels revealed well marked fluctuations with
maxima and minima values of each parameter during specific months and
analysis of biotic communities revealed seasonal variations with an
increase during summer and a fall during winter and monsoon seasons.
Linear functionals on hypervector spaces
Authors: Dehghan O.R.
Published: March 2021

The study of linear functionals, as an important special case of linear
transformations, is one of the key topics in linear algebra and plays a
significant role in analysis. In this paper we generalize the crucial
results from the classical theory and study main properties of linear
functionals on hypervector spaces. In this way, we obtain the dual basis of
a given basis for a finite-dimensional hypervector space. Moreover, we
investigate the relation between linear functionals and subhyperspaces and
conclude the dimension of the vector space of all linear functionals over a
hypervector space, the dimension of sum of two subhyperspaces and the
dimension of the annihilator of a subhyperspace, under special conditions.
Also, we show that every superhyperspace is the kernel of a linear
functional. Finally, we check out whether every basis for the vector space
of all linear functionals over a hypervector space V is the dual of some
basis for V.
Artificial Intelligence: Reshaping the Accounting Profession and the Disruption to Accounting Education
Authors: Holmes Amy Foshee , Douglass Ashley
Published: March 2021

This study provides insights from accounting professionals on the impact of artificial intelligence (AI) adoption and the associated risks on the accounting profession. Survey data suggests that participants have an overall positive perception of AI and believe it will enhance their job performance by reducing repetitive tasks and the risk of human error. In addition, participants believe that the growth of AI technology will change the focus of accounting curriculums to include specialized computer skills. Significantly stronger agreement is expressed by public accountants in Big 4 firms compared to non-Big 4 firms, industry, and accounting educators. More specifically, skills in data management, data cleansing, and correcting inaccurate or incomplete data are valued more by industry and public accountants than by accounting educators. It is imperative that accounting programs rise to the challenge of equipping students to be life-long learners in accounting to grow with the changes in the profession.

Data Availability: Data are available upon request.
Can Teacher Collaboration Improve Students’ Academic Achievement in Junior Secondary Mathematics?
Authors: Saka Owodunni Adewale
Published: March 2021

The unsatisfactory students’ performance in school subjects in Nigerian secondary schools has been blamed on teachers’ quality and professional development suggested as a remedy. Hence, this study examined the effects of teacher collaboration on students’ academic achievement in mathematics. The study adopted pretest-posttest-control group quasi-experimental design involving a 2x2 factorial matrix. The sample for the study consisted of one hundred and thirty-five (135) students from two intact classes and five teachers of the two junior secondary schools purposively selected for the study. Mathematics Achievement Test (MAT), a researcher-developed instrument with reliability coefficient of 0.86 was used to collect data. The collected data were analyzed using both descriptive and inferential statistics. The results indicated significant difference in the effect of teachers’ group (collaboration and isolation) on students’ achievement in mathematics. Also, the study found no significant effect of students’ age on academic achievement in Mathematics. Additionally, the finding revealed no significant interaction effect of teachers’ group and students’ age on academic achievement in Mathematics. Based on the findings, the study recommended among other that government should restructure the school hours to cater for teacher collaboration activities and that workshops should be organised for teachers on the importance of teacher collaboration as a means of professional development.
EFEKTIVITAS STRATEGI PEMBELAJARAN PQ4R DALAM MEMBANGUN MOTIVASI DAN HASIL BELAJAR KOGNITIF BIOLOGI UMUM
Authors: Fajarianingtyas Dyah Ayu , Hidayat Jefri Nur
Published: March 2021

Tujuan penelitian ini adalah untuk mengetahui peningkatan motivasi belajar dan hasil belajar mahasiswa Biologi Umum menggunakan strategi pembelajaran PQ4R yang dilakukan di Prodi Pendidikan IPA. Subjek penelitian adalah mahasiswa Pendidikan IPA Universitas Wiraraja Semester Ganjil Ta.2013-2014 berjumlah 33 mahasiswa. Penelitian ini terdiri atas dua siklus pembelajaran. Standar kompetensi Biologi Umum adalah memahami konsep keanekaragaman makhluk hidup, ekologi dan perilaku hewan dalam kaitannya dengan evolusi. Efektif Strategi Pembelajaran PQ4R pada mata kuliah Biologi Umum dapat dilihat dari rata-rata nilai hasil belajar kognitif dan ketuntasan individu serta respon motivasi belajar. Rata-rata nilai hasil belajar kognitif pada siklus I 44.63 mengalami peningkatan menjadi 71.46 pada siklus II dengan persentase peningkatan sebesar 55%. Persentase ketuntasan belajar pada siklus I 24% mengalami peningkatan menjadi 79% pada Siklus II. Ada peningkatan persentase pada motivasi dari Siklus I ke siklus II meliputi indikator perhatian 10.1%, lama belajar 15.15%, irama perasaan 4.13%, usaha 5.05%, ekstensi 7.58%, dan penampilan 5.05%. Kata Kunci: Strategi Pembelajaran PQ4R, Motivasi, Hasil Belajar
IMPLEMENTASI LESSON STUDY BERBASIS SEKOLAH (LSBS) DI SMP NEGERI 1 KALIANGET
Authors: Wahjudi Eko , Andayani Tri , Herman Ahmad , Wijaya Enny
Published: March 2021

Lesson studymerupakan salah satu upaya pembinaan untuk meningkatkan proses pembelajaran yang dilakukan oleh sekelompok guru secara kolaboratif dan berkesinambungan, dalam merencanakan, melaksanakan, mengobservasi dan melaporkan hasil pembelajaran. Di dalam pembelajaran ,guru hanya berperan sebagai fasilitator. Penggerak utama pembelajaran adalah siswa itu sendiri. Siswa dituntut untuk lebih aktif dan mengambil peran dalam proses pembelajaran. Kegiatan lesson study terbagi menjadi 3 tahap yaitu 1) tahap perencanaan (plan) yaitu guru atau kelompok guru akan menyusun kegiatan pembelajaran yang akan dilaksanakan, 2) tahap pelaksanaan (do) yaitu seorang guru sebagai guru model untuk menyajikan pembelajaran sesuai perencanaan yang telah disusun dan guru yang lain melakukan pengamatan yang dilakukan oleh siswa, dan 3) tahap refleksi (see) dalam tahap ini mendiskusikan dari hasil pengamatan serta mencari penyelesaian masalah yang terjadi selama pembelajaran. Setelah melaksanakan lesson study guru diharapkan mampu memberikan inovasi dalam kegiatan pembelajaran,serta meningkatkan kualitas pembelajaran.

 

Kata kunci : kegiatan pembelajaran, siswa aktif, lesson study