A structured professional development curriculum for postdoctoral fellows leads to recognized knowledge growth

Postdoctoral training enables research independence and professional readiness. National reports have emphasized professional development as a critical component of this training period. In response, many institutions are establishing transferable skills training workshops for postdocs; however, the lack of structured programs and an absence of methods to assess outcomes beyond participant satisfaction surveys are critical gaps in postdoctoral training. To address these shortcomings, we took the approach of structured programming and developed a method for controlled assessment of outcomes. Our program You3 (You, Your Team, Your Project), co-designed by postdoctoral fellows, focused on discussing specific management and leadership skills agnostic of ultimate career path(s) in a structured manner. We then measured outcomes in a controlled manner, by systematically comparing perceived knowledge and growth as indicators of awareness and confidence in participants against that of non-participants as the control group. You3 participants self-rated greater growth in targeted competencies compared to non-participants independent of the number of years of training. This growth was shown by multiple criteria including self-reporting and associative analysis. Correspondingly, You3 participants reported greater knowledge in 75% of the modules when compared to controls. These data indicate that structured learning, where postdocs commit to a curriculum via a cohort-structure, leads to positive outcomes and provides a framework for programs to assess outcomes in a rigorous manner.

THE EFFECT OF BEHAVIORAL AND PERFORMANCE ASPECTS OF EDUCATOR ACCOUNTANTS ON THE ACCOUNTING STUDENTS’ COMPETENCE

<p class="JurnalASSETSABSTRAK"><strong>ABSTRACT</strong></p><p>This study aims to determine the effect of behavioral and performance aspects of educator accountants on the competence of accounting students at universities throughout Banten Province. The method used is descriptive and associative quantitative. The results of the descriptive analysis showed that the behavioral aspect of the perception dimension variable had the highest average value, the lowest motivation dimension. The variable of educator accountants' performance of the collaboration dimension had the highest average value and the lowest of higher education Tridharma output quality dimension. The variable of accounting students' competence in the dimension of learning to live together has the highest average value, and the dimension of learning to understand is the lowest. The results of the associative analysis were obtained simultaneously that the behavioral and performance aspects of educator accountants affect the competence of accounting students.</p><p> </p><p class="JurnalASSETSABSTRAK"><strong><em>ABSTRAK</em></strong><em></em></p><p><em>Penelitian ini bertujuan untuk mengetahui pengaruh aspek keperilakuan dan kinerja akuntan pendidik terhadap kompetensi mahasiswa akuntansi di Perguruan Tinggi se-Provinsi Banten. Metode yang digunakan adalah kuantitatif deskriptif dan asosiatif. Hasil analisis deskriptif diperoleh bahwa pada variabel aspek keperilakuan dimensi persepsi memiliki nilai rata-rata tertinggi, dimensi motivasi terendah. Variabel kinerja akuntan pendidik dimensi kerja sama memiliki nilai rata-rata tertinggi, dimensi kualitas output tridarma perguruan tinggi terendah. Variabel kompetensi mahasiswa akuntansi dimensi learning to live together memiliki nilai rata-rata tertinggi, dimensi learning to understand terendah. Hasil analisis asosiatif diperoleh secara simultan aspek keperilakuan dan kinerja akuntan pendidik berpengaruh terhadap kompetensi mahasiswa akuntansi.</em></p>

PENGARUH PEMANFAATAN MEDIA SOSIAL WHATSAPP TERHADAP HASIL BELAJAR PENDIDIKAN AGAMA HINDU DAN BUDI PEKERTI

This study aims to determine the effect of the use of WhatsApp social media on the learning outcomes of Hindu religious education and character for class X students at SMK Negeri 4 Mataram in the 2020/2021 academic year. This study uses a quantitative approach and is an ex post facto research using correlational associative analysis. Ex post facto research is research that examines causal relationships that are not manipulated or treated (designed and implemented) by the researcher. Data were collected using questionnaires and documentation. The data analysis technique uses product moment correlation. The results of the study indicate that there is an effect of the use of WhatsApp social media on the learning outcomes of Hindu religious education and character for class X students at SMK Negeri 4 Mataram in the 2020/2021 academic year. The magnitude of the influence of the use of WhatsApp social media on the learning outcomes of Hindu religious education and the character of class X students (rxy) is 0.378, while the contribution of WhatsApp social media is 14.28%. This means that there is another factor of 85.72% of the learning outcomes of Hindu religious education and character for class X students at SMK Negeri 4 Mataram. The conclusion of this study is that there is an effect of the use of WhatsApp social media on the learning outcomes of Hindu religious education and character for class X students at SMK Negeri 4 Mataram in the 2020/2021 academic year, with the contribution of using WhatsApp social media by 14.28%. Base on the research result, applied social media WhatsApp can be use in other learning.

PENGARUH KESADARAN WAJIB PAJAK DAN PELAYANAN FISKUS TERHADAP KEPATUHAN WAJIB PAJAK ORANG PRIBADI DI KPP PRATAMA TASIKMALAYA

ABSTRAK Tujuan penelitian ini adalah untuk mengetahui apakah kesadaran wajib pajak, pelayanan fiskus mempunyai pengaruh yang signifikan terhadap Kepatuhan Wajib Pajak Orang Pribadi baik secara parsial maupun simultan. Penelitian ini dilakukan pada Kantor Pelayanan Pajak Pratama Tasikmalaya. Metode yang digunakan dalam penelitian ini adalah metode analisis deskriptif dan asosiatif dengan pendekatan survei. Pengukuran Sampel menggunakan insidental sampling, jumlah sampel yang diambil sebanyak 101 responden. Teknik pengumpulan data dalam penelitian ini yaitu dengan menyebarkan kuesioner. Teknik analisis menggunakan analisis Regresi Linier Berganda. Berdasarkan hasil penelitian diketahui bahwa Variabel kesadaran wajib pajak secara parsial tidak berpengaruh signifikan terhadap kepatuhan wajib pajak orang pribadi di KPP Pratama Tasikmalaya. Variabel pelayanan fiskus secara parsial berpengaruh signifikan terhadap kepatuhan wajib pajak orang pribadi di KPP Pratama Tasikmalaya dan secara simultan kesadaran wajib pajak dan pelayanan fiskus berpengaruh signifikan terhadap kepatuhan wajib pajak orang pribadi di KPP Pratama Tasikmalaya. Kata Kunci: Kesadaran Wajib Pajak, Pelayanan Fiskus Dan Kepatuhan Wajib Pajak Orang Pribadi ABSTRACT.The purpose of this research is to find out whether taxpayer awareness, fission services have a significant influence on Personal Person Taxpayer Compliance both partially and simultaneously. This research was conducted at the Office of Tax Service Pratama Tasikmalaya. The method used in this study is a descriptive and associative analysis method with a survey approach. Sample Measurement using incidental sampling, the number of samples taken as many as 101 respondents. The data collection technique in this study is to spread questionnaires. Analysis techniques use Multiple Linear Regression analysis. Based on the results of the study it is known that the variable of taxpayer awareness has no significant effect on the taxpayer compliance of private persons in KPP Pratama Tasikmalaya. Fiskus service variables partially affect the taxpayer compliance of private persons in KPP Pratama Tasikmalaya and simultaneously taxpayer awareness and fiskus services have a significant impact on the taxpayer compliance of private persons in KPP Pratama Tasikmalaya. Keywords: Taxpayer Awareness, Fissist Services And Personal Taxpayer Compliance.

The Influence of Quality of Service and Customer Satisfaction With Customer Loyalty at PT. Bank Shinhan Indonesia Bandung Cihampelas Branch

This research was conducted at PT. Bank Shinhan Indonesia Bandung Branch Cihampelas a company engaged in the services of the Bank. The purpose of this research is to see the influence of quality of service and customer satisfaction on customer loyalty in PT. Bank Shinhan Indonesia Bandung Branch Cihampelas. Researchers used purposive sampling techniques and used questionnaires as data retrieval methods. For associative analysis using, path analysis, and coefficient of determination analysis. In addition, validity tests and reliability tests are carried out to determine accuracy in data measurement. Based on the results of the study showed the average score of service quality variables is 310.1 categorized as "Excellent", and the customer satisfaction variable is 300 categorized as "good", and the customer loyalty variable is 320 categorized as "Excellent".

Identificación de Variables Clínicas Asociadas al Diagnóstico Correcto e Incorrecto en Enfermedades Respiratorias

In emergency rooms, it is common that several patients present symptoms associated with pulmonary diseases as pneumonia and pulmonary embolism, however, their initial diagnosis presents several challenges: a) both share symptoms, b) the lack of imaging studies at the first diagnosis stage and, c) the amount of data resulting from laboratory analysis are vast to be quickly analyzed. Thus, supporting medical staff through the use of computational tools for detecting clinical variables that are significant on the initial diagnosis, is crucial. Hence, a collaboration with the Centro Medico Nacional de Occidente (CMNO) of the Instituto Mexicano del Seguro Social (IMSS) was established to gather, process, and analyze patients' electronic medical records with a pulmonary embolism or pneumonia diagnosis who were admitted through the emergency room. Data extracting and processing of patients’ medical records (PDF) were performed. Thereafter, a statistical and associative analysis (Apriori) was performed looking for the determination of the clinical variables associated with a correct or incorrect prognosis. As a result, during the patient diagnosis several frequently present variables were identified, pointing out those that whose median values were significantly different for both diseases studied here. Finally, some laboratory variables are suggested to be carefully observed while a patient's initial diagnosis is performed.

A Structured Professional Development Curriculum for Postdoctoral Fellows Leads to Recognized Knowledge Growth

Postdoctoral training enables research independence and professional readiness. National reports have emphasized professional development as a critical component of this training period. In response, many institutions are establishing transferable skills training workshops for postdocs. Critical gaps, however, have been the lack of structured programs and an absence of methods to assess outcomes beyond satisfaction surveys. To address these shortcomings, we took the relatively new approach of structured programming and developed a method for controlled assessment of outcomes. Our program You3 (You, Your Team, Your Project), co-designed by postdoctoral fellows, focuses on a structured array of management and leadership skills agnostic of ultimate career path(s). It then measures outcomes in a controlled manner, by systematically comparing knowledge and growth of participants with non-participants as the control group. You3 participants achieve greater growth in competencies overall compared to the control group, as shown by multiple criteria including self-reporting and associative analysis. Correspondingly, You3 participants reported greater knowledge in 75% of the modules when compared to controls. These data indicate that structured learning, where postdocs commit to a curriculum via a cohort-structure, leads to positive outcomes and provides a framework for programs to assess outcomes in a rigorous manner.

DARE: A decentralized association rules extraction scheme for embedded data sets in distributed IoT devices

In the context of smart home, it is very important to identify usage patterns of Internet of things (IoT) devices. Finding these patterns and using them for decision-making can provide ease, comfort, practicality, and autonomy when executing daily activities. Performing knowledge extraction in a decentralized approach is a computational challenge considering the tight storage and processing constraints of IoT devices, unlike deep learning, which demands a massive amount of data, memory, and processing capability. This article describes a method for mining implicit correlations among the actions of IoT devices through embedded associative analysis. Based on support, confidence, and lift metrics, our proposed method identifies the most relevant correlations between a pair of actions of different IoT devices and suggests the integration between them through hypertext transfer protocol requests. We have compared our proposed method with a centralized method. Experimental results show that the most relevant rules for both methods are the same in 99.75% of cases. Moreover, our proposed method was able to identify relevant correlations that were not identified by the centralized one. Thus, we show that associative analysis of IoT device state change is efficient to provide an intelligent and highly integrated IoT platform while avoiding the single point of failure problem.

Evaluation and Modelling of a Low Budget Hall Effect Based Flow-Rate Sensor using Adaptive Calibration Paradigm

The research work demonstrated the use of adaptative and comparative paradigm to calibrate and validate Hall Effect flowrate sensor’s related performance data. The experimental testbed used for the research work is composed of an IoT based platform integrated into a water pipe network. The use of IoT largely assisted in facilitating a well-coordinated and flexible paradigm for efficient data collections and analysis. Correlated and Associative analysis on data obtained shows a strong significant relationship (R2=89%) between the rate of Pulse count and rate of change in differential volume leading to the derivation of a model that is helpful in determining of volumetric rate and quantity of liquid dispense as function of pulse count generated from a Hall Effect flowrate sensor.