The purpose of this study was to evaluate the effectiveness of using natural language processing (NLP) artificial intelligence (AI) in enterprise resources planning (ERP) to identify specialized job ...candidates in real-time big data—globally across the internet. The central problem was that companies using traditional methods for recruiting remote specialists were missing good candidates because the skilled employees may not be looking for a job yet they may be receptive to an offer. The auxiliary problem was too much data on the internet for human resources management (HRM) staff to make sense of to find the best-fitting candidate. Thus, the research question was: could NLP AI identify good candidates for ERP remote specialist jobs using internet real-time big data? Job criteria were developed using machine learning to identify key skills from existing staff in a case study company. The skills were transformed into ERP remote specialists hiring criteria. The NLP AI software was activated to find the best candidate. The HRM staff at the case study company evaluated the effectiveness of the candidate selected by the NLP AI. The case study company set 70% as the acceptable mean evaluation score. ANOVA was used to determine if HRM staff agreed about their evaluation scores. A Z-test was used to determine if the NLP AI was faster than the mean time needed for HRM to select ERP candidates. The results were that the NLP AI outperformed the humans by a factor of almost 8 h. All HRM staff agreed that the NLP AI was effective in selecting a candidate to match the hiring criteria. The proposed approach might facilitate the research and development of big data, data analytics, NLP AI, and HRM process improvement.
The primary goal of this experiment is to prioritize molecular descriptors that control the activity of active molecules that could reduce the dimensionality produced during the virtual screening ...process. It also aims to: (1) develop a methodology for sampling large datasets and the statistical verification of the sampling process, (2) apply screening filter to detect molecules with polypharmacological or promiscuous activity.
Sampling from large a dataset and its verification were done by applying Z-test. Molecular descriptors were prioritized using principal component analysis (PCA) by eliminating the least influencing ones. The original dimensions were reduced to one-twelfth by the application of PCA. There was a significant improvement in statistical parameter values of virtual screening model which in turn resulted in better screening results. Further improvement of screened results was done by applying Eli Lilly MedChem rules filter that removed molecules with polypharmacological or promiscuous activity. It was also shown that similarities in the activity of compounds were due to the molecular descriptors which were not apparent in prima facie structural studies.
The response of U.S. soybean export basis (Gulf and Pacific Northwest) to changes in supply and demand (domestic and international), transportation costs, logistics conditions, and export activity ...variables was examined from both a market-year average and seasonal analog perspective. The market-year average results indicated that basis at both locations were highly correlated and influenced primarily by international and domestic competition. The seasonal analog results indicated a wide variation in seasonality across marketing years for both locations with transportation costs, logistic conditions, and export activity having the greatest influence on the seasonal analog grouping.
The random lane-changing behavior of electric bicycles brings a great safety hazard to urban transportation: According to the national traffic accident statistics in 2015, 8.22% of traffic accidents ...are caused by non-motor vehicle violations. Among them, the accident rate caused by electric bicycles is as high as 78%. In order to effectively analyze and quantify the risk of this lane-changing behavior, based on the non-cooperative strategy model under complete information, a Z-test of the speed before and after the “illegal” lane-changing behavior was carried out by using the data of the mixed-flow sections of Xi’an city. Constructing the judgment matrix to determine the weight value of motor vehicles’ game strategy and constructing the charge matrix, the utility income analysis of the electric bicycle and the affected motor vehicle is made by using the payment function, and the exceeding conflict model is established to quantify the risk level of the conflict number in the unit road. It is verified that the “illegal” lane-changing behavior of electric bicycles is a goal-oriented behavior for obtaining greater desired speed.
Understanding the impact of human capital on the achievement of career success is essential for each individual in turbulent times on the labor market. Banking sector also is human capital intensive ...and plays a critical role for the banks in meeting their goals and offering services to its clients. In the current era of technology, globalization and the general progress principles of "knowledge economy" are ruling. So, each individual in the labor market who wants to build own career, should work on continuous improvement of human capital. This helps their recognition in the increasingly competitive labor market, which eliminates "weak players" since their inability to adapt the modern trends and staff needs. The paper determines that human resource management (HRM) in banking sector must embrace strategic human resource planning programs with all banks strategy. This underlines the essential meaning of designing an effective recruitment policy with these strategies as formulation and implementation of active reward policy. Also, banks should include more active training and development for employees. This paper presents a statistical analysis of the correlation mentioned categories, based on 474 employees, in Serbian and Macedonian banking sector. Analyses such as Chi-square test, Mann-Whitney U, Kolmogorov-Smirnov Z test and linear regression, proving the significance impact of the development of employees' human capital on career success, viewed through different hierarchical positions in a particular sector.
The current research was directed to explore hybrid vigour for hybrids resulting from crosses among six genotypes of the genus Citrullus, including C. mucosospermus. For such purpose, the mid parent ...heterosis and the best parent heterosis were assessed. Non parametric method related to homogeneity Chi-square at 5 % likelihood was applied to compare the regeneration potential of progenies. Student's parametric test at 5% was used to separe two means. Six parental genotypes and 16 hybrid families were evaluated for heterosis. The results showed a heterosis effect for all the characters studied nevertheless, this one varies according to the crossing. The observed hybrid vigour would be due to a superdominance or partial dominance effect. In addition, progeny from crosses have the same regenerative potential on both study sites.
Genetic improvement; Progenies from crosses; Student's Z test; Hybrid vigour; Heterosis; Citrullus mucosospermus; Agronomy; Biological sciences; Plant biology; Biotechnology; Genetics.
Community surveys have been widely used to investigate local residents' perceptions and behaviors related to natural resource issues. However, most existing community survey research relies on ...cross-sectional data and is thus unable to capture the temporal dynamics of community processes. Longitudinal analysis has received increasing interest in recent natural resource social science literature. Trend and panel studies are two typical approaches in longitudinal community survey research. Due to limited sampling frames, research design, and respondent attrition, longitudinal community surveys often involve both paired and independent observations across different survey waves. Using previous survey data on community responses to forest insect disturbance in Alaska as an example, this research note shows that the corrected z-test is a more appropriate approach to analyze partially correlated longitudinal data than conventional statistical techniques such as the paired and independent t-tests.
Abstract Depression is one of the most prevalent mental disorders in the world with more than 300 million diagnoses. Studies on the contributions that instruments offer in understanding the ...functioning of depressive patients are necessary. Therefore, our study aimed to compare the frequency of codes related to depression in Zulliger R-optimized application in a group of depressive individuals with non-clinical group. The study included 86 participants, 43 depressive patients and 43 non-clinical patients. The Escala Baptista de Depressão (EBADEP-A) was used to identify depressive symptoms in the clinical group and Zulliger was administered with R-optimized application. To compare the groups, the t-test and magnitude of differences (d) were used. The results showed differences between groups in the variables Mixed Determinants, Sum of achromatic color responses, pure color responses (C), Mor and AG. We understood that Zulliger R-optimized application may be useful in understanding the functioning of the depressive subject.
Resumo A depressão é um dos transtornos mentais mais prevalentes no mundo com mais de 300 milhões de diagnósticos. Estudos sobre as contribuições que instrumentos oferecem na compreensão do funcionamento de pacientes depressivos são necessários. Este estudo teve por objetivo comparar a frequência dos códigos relacionados à depressão no Zulliger aplicação R-otimizado em um grupo de depressivos com grupo não clínico. O estudo contou com 86 participantes, 43 pacientes depressivos e 43 não clínico. Foi utilizada a Escala Baptista de Depressão (EBADEP-A) para rastrear sintomas depressivos no grupo clínico e o Zulliger foi administrado com aplicação R-otimizada. Para comparar os grupos foi utilizado o teste t e magnitude das diferenças (d). Os resultados demonstraram diferenças entre grupos nas variáveis Determinantes Mistos, Soma de respostas de cor acromática, respostas de cor pura (C), Mor e AG. Entende-se que Zulliger aplicação R-otimizado pode ser útil na compreensão do funcionamento do sujeito depressivo.
Resumen La depresión es uno de los trastornos mentales más frecuentes en el mundo y actualmente cuenta con más de 300 millones de diagnósticos. Se necesitan estudios sobre las contribuciones de los instrumentos para comprender el funcionamiento de los pacientes deprimidos. Este estudio tuvo como objetivo comparar la frecuencia de los códigos relacionados con la depresión en la aplicación R-optimizada en Zulliger entre un grupo de deprimidos y un grupo no clínico. En el estudio participaron 86 personas, de las cuales 43 eran pacientes deprimidos y 43 pacientes no clínicos. La Escala Baptista de Depresión (EBADEP-A) se usó para rastrear los síntomas depresivos en el grupo clínico y el Zulliger se administró con la aplicación R-optimizada. Se utilizaron la prueba t y la magnitud de las diferencias (d) en la comparación entre grupos. Los resultados apuntaron diferencias entre los grupos en las variables Determinantes mixtos, Suma de respuestas de color acromática, respuestas de color puro (C), Mor y AG. La aplicación R-optimizada en Zulliger puede ser útil para comprender el funcionamiento del sujeto deprimido.
Abstract Due to the demand for instruments to assess aspects of the personality of children, we aimed find evidence for the validity of the Zulliger test in the Comprehensive System (ZSC). 173 ...children participated in this study of Fortaleza-CE with ages between 6 years and 11 years and 6 months, 48.5% were from public schools and 53.1% female. The children were divided into three age groups, 6 and 7 years, 8 and 9 years and 10 and 11 years. The instruments used were the Zulliger test and the test of Raven’s Coloured Progressive Matrices - Special Scale. We made the analysis of descriptive statistics and compared the variables of Zulliger test through the One Way ANOVA test. The significant variables were FQu (p<0.005) and R, ma, D, Xu%, Na, Ls, Fd, (T), GHR and (2) (p<0.05), which contributed with validity evidences of ZSC with children.
Resumo Devido à demanda de instrumentos que avaliem aspectos da personalidade de crianças, objetivou-se buscar evidências de validade para o teste de Zulliger pelo Sistema Compreensivo (ZSC). Participaram dessa pesquisa 173 crianças de Fortaleza-CE com a idade entre 6 e 11 anos e 6 meses, sendo 48,5% de escolas públicas e 53,1% do sexo feminino. As crianças foram divididas em três faixas etárias, a saber, 6 e 7 anos, 8 e 9 anos e 10 e 11 anos. Os instrumentos utilizados foram o teste ZSC e o teste das Matrizes Progressivas Coloridas de Raven - Escala Especial. Foram feitas as análises de estatística descritiva e a comparação das variáveis do teste ZSC por meio do teste One Way ANOVA. As variáveis significativas foram FQu (p < 0,005) e R, ma, D, Xu%, Na, Ls, Fd, (T), GHR e (2) (p < 0,05), dados que contribuíram com evidências de validade do ZSC com crianças.
Resumen Debido a la demanda de instrumentos para evaluar aspectos de la personalidad de los niños, el objetivo de este estudio fue encontrar evidencias de validez del test Zulliger por el Sistema Comprensivo (ZSC). Participaron de esta investigación 173 niños de Fortaleza-CE con edades entre 6 y 11 años y 6 meses, siendo 48,5% de escuelas públicas y 53,1% de sexo femenino. Los niños fueron divididos en tres grupos por edad, a saber, 6 y 7, 8 y 9, 10 y 11 años. Los instrumentos utilizados fueron el test ZSC y el test de las Matrices Progresivas Coloridas de Raven - Escala Especial. Se hicieron análisis de estadística descriptiva y comparación de las variables del test ZSC por medio del test One Way ANOVA. Las variables significativas fueron FQu (p<0,005) y R, ma, D, Xu%, Na, Ls, Fd, (T), GHR y (2) (p<0,05), datos que contribuyeron con evidencias de validez del ZSC con los niños.
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