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Metamorphosis ◽  
2022 ◽  
pp. 097262252110662
Author(s):  
Siddhi Mehrotra ◽  
Akanksha Khanna

Artificial intelligence (AI) is being used very pervasively with the ever-evolving and competitive business world and has become the 21st-century buzzword. Countless innovations in technology have pushed businesses to make their value creation processes more effective and customer friendly. Digitization has played a significant role in reshaping the different human resource functions and processes. This study aims to elucidate the acceptance of automation in human resource management by employers and the degree to which recruiters can use AI to hire people. The study incorporates a thematic analysis approach, and the data is collected from primary sources by conducting semi-structured interviews with four experts working in IT organizations. This research would be useful for recruiters and HR managers to consider the fields of AI implementation and management to take advantage of cost-cutting technical developments.


2022 ◽  
Vol 23 (2) ◽  
pp. 870
Author(s):  
Anna Kawalec ◽  
Danuta Zwolińska

The microbiome of the urinary tract plays a significant role in maintaining health through the impact on bladder homeostasis. Urobiome is of great importance in maintaining the urothelial integrity and preventing urinary tract infection (UTI), as well as promoting local immune function. Dysbiosis in this area has been linked to an increased risk of UTIs, nephrolithiasis, and dysfunction of the lower urinary tract. However, the number of studies in the pediatric population is limited, thus the characteristic of the urobiome in children, its role in a child’s health, and pediatric urologic diseases are not completely understood. This review aims to characterize the healthy urobiome in children, the role of dysbiosis in urinary tract infection, and to summarize the strategies to modification and reshape disease-prone microbiomes in pediatric patients with recurrent urinary tract infections.


Author(s):  
Rahul Banerjee ◽  
Pankaj Das ◽  
Bharti . ◽  
Tauqueer Ahmad ◽  
Manish Kumar

India is a country with an agrarian economy in which majority of its population rely on agriculture directly as their source of livelihoof. Climate has a very significant role in agricultural production. It predominantly influences growth of the crop, development of the crop and eventually crop yield. Climate also significantly influences the outbreak of disease and pest; it affects the requirement of water by the crop. Possible changes in weather factors, like precipitation, temperature and CO2 concentration are expected to have a significant impact on crop growth. If farmers are able to predict the weather activities and are aware of the effect of these activities on crop production, then it will be beneficial to them as a feasible plan can be devised synchronizing the crop production activities as per changes in the climatic conditions. In view of tackling the aforementioned problem, this article describes various statistical techniques that can play a crucial role in forecasting production of agricultural commodities changing climatic conditions.


Author(s):  
Sevil Erdenliğ Gürbilek ◽  
Neval Berrin Arserim ◽  
Osman Yaşar Tel ◽  
Zeynep Sertkaya ◽  
Oktay Keskin

Backgorund: Bacteriophages are closely related to the evolution and virulence of some important bacterial pathogens. Due to their highly significant roles in pathogenesis and virulence, S. aureus bacteriophages are frequently studied. Bacteriophages are grouped into two main categories depending on their life cycles. There are highly consistently lytic phages (virulent) and temperate phages. This study aimed to isolate bacteriophages and determine their phage serogroups from phage plaques in S. aureus cultures in order to show if they are lytic or lysogenic, the latter plays a major role in horizontal gene transfer. Methods: A total of 234 S. aureus isolates were recovered from milk samples from cases with gangrenous mastitis in sheep. Staphylococcal phages are determined based on the type and serogroup by PCR using specific primers. Result: Our study allowed us to determine serogroups of the isolated bacteriophages. Two phage stock samples included only one serogroup while the others included more than one phage serotypes and needed further purification Fa, L and D serogroups were not determined in the study. Present work revealed that all the isolated phages were temperate phages, which play a highly significant role in horizontal gene transfer.


2022 ◽  
Vol 5 (1) ◽  
Author(s):  
Matthew Feeback ◽  
Bailey Reitsma

Introduction: To further understand the effects of L-arginine on both its ability to enhance lactate clearance and increase overall blood flow before, during, and after exhaustive anaerobic exercise. Methods:  Twelve healthy male subjects between the ages of 18-25 first completed an initial visit where baseline data was recorded. Subjects completed three additional visits, in which they ingested either a placebo, two-gram or four-gram dose of L-arginine. Blood flow (BF) and lactate were recorded before ingestion of the treatment, 5 and 15-minutes post-ingestion prior to performing a push-up test to volitional fatigue.  Immediately following the push-up test, BF and lactate were assessed and again 15-minutes post exercise. Results: Blood lactate did not differ across condition (p=0.569).  Lactate clearance was not influenced by L-arginine when analyzing the Area Under Curve.  Blood flow increased with ingestion of the four-gram dose while at rest (the 15-minute mark).  Blood flow was also enhanced in the four-gram dose immediately after exercise at the 25-minute mark.  Conclusions: The data suggests that a four-gram dose of L-arginine plays a more significant role in blood flow than the clearance of lactate after exercise compared to a two-gram dose or placebo.


2022 ◽  
Vol 6 (1) ◽  
pp. 47-51
Author(s):  
Dawn Fei-yue Tsang

This research project aims at consolidating and revitalizing translation and interpreting pedagogy with dual emphasis on the cultural soft power and international discourse rights of China via emphasizing international competitiveness. In order to realize the significant needs of the current market requirements and the new era of China, this project proposes the “ICC” interpreting training model. It refers to the combination of intercultural communication competency with international competitiveness as the teaching and learning outcomes by means of integrating the following five components in the course content and the whole curriculum design: (1) interpreting competency – bilingual competence and interpreting skill-based training; e.g., short-term memory and note-taking; (2) national value – strengthening translation and the crucial roles and responsibilities of interpreter trainers and trainees in disseminating national culture; (3) expertise of subject matters – equipping students with expertise for work field and meeting the market requirements; e.g., specific professional knowledge and jargons demanded by the tasks; (4) professional ethics and image – extra-linguistic knowledge emphasizing a translator’s and an interpreter’s professional code of conduct and ethics in a way that can establish the “iconic” image of a professional interpreter; e.g., confidentiality, posture, and appearance; (5) practical assessment – evaluation of students’ performance in practical translation and interpreting opportunities and/or internship in organizations of various natures according to international standards. This research proposes a new training model to incorporate intercultural communication competency with international competitiveness. The significant role of interpreting pedagogy in contributing to a sound national name is investigated. The new “ICC” model that this research is proposing answers such a call for the significant role of raising cultural soft power and international discourse rights in China.  


2022 ◽  
Author(s):  
Anca Raluca Tanasă ◽  
◽  
Cristina Elena Moraru ◽  
Petruț Florin Trofin ◽  
Rareș Alexandru Puni ◽  
...  

The extracurricular sports activity among schooler children plays a significant role in the elimination of their sedentary behaviour. The purpose of this study was to analyse on a sample of 408 students aspects related to the following: the body mass index (BMI), the type of physical activities practiced, the parameters of the physical efforts made, the level of performance attained and the access to sports bases. The subjects within the research were divided into 4 groups: female primary schoolers (FP, n=126, 9.83 ±1.30 years old), male primary schoolers (MP, n=103, 10,04 ± 1.22 years old), female middle schoolers (FM, n=98, 12.40 ± 1.36 years old) and male middle schoolers (MM, n=81, 12.22 ± 1.33 years old). The subjects underwent anthropometric and interrogative analyses, through the survey method. By using the Anova One – Way (p˂0.05), we obtained significant differences of the BMI between FP- MM, MP–MM and FM–MM. The type of preferred sports activities differentiated MP – MM, the last group being centred on cyclical activities. The duration of the session presents significant differences between MP – FM. The weekly frequency and the annual durationof sports activity features a similar level. The volume of annual physical activities is differentiated between BP and FG. The performance level attained is different between MP – FM and MP – MM. Consequently, it may be stated that the preferences of schoolers regarding extracurricular sports activity are practiced with a frequency of 8 months per year, 3 times a week, each session lasting for 90 minutes, while their natureis cyclical at leisure level, too.


2022 ◽  
Vol 4 (1) ◽  
pp. 08-15
Author(s):  
Napolie Joyce Buenafe ◽  
Hannah Mae Espedido ◽  
Kyle Rainier Samonte ◽  
Althea Karmen Vitto

Technology has revolutionized the world and our daily lives over the years. Technological advancements have had a wide-ranging impact on our lives, such as the dramatic shift in communication. This study is to determine what affects the purchase intention of Gen Z towards Electronic gadgets. Using the Descriptive Analysis and Cluster random sampling, data is collected through an online survey with the respondents of 150 in selected cities of Metro Manila. And findings suggest that brand identity plays a significant role in influencing the purchase intention of Generation Z. The people who will benefit from this paper are Businesses, Entrepreneurs, Future researchers, and retailers. It will give them enough information to be knowledgeable about the purchase intention of Gen Z consumers when it comes to electronic gadgets.


2022 ◽  
Vol 14 (2) ◽  
pp. 869
Author(s):  
Adela Lazăr ◽  
Ioana Sîrbu ◽  
Karla Barth ◽  
Claudia Bacter ◽  
Adrian Hatos

(1) Background: Sustainability is a crucial priority and a critical part of the modern world. Promoting pro-social values to the younger generation is an issue addressed throughout this paper. The present study aims to answer the question of whether generosity, as a positive attitude towards others, and sustainability, as a positive attitude towards the environment, are related. (2) Methods: The current research includes a sample of 4333 adolescents, ages 14 and 15, who attend schools in Bihor County, Romania. (3) Results: The regression analysis indicates a significant correlation between sustainable values, operationalized through adolescent involvement in environmental organisations, and generosity. (4) Conclusions: Sustainable behaviour can be considered a form of giving that contributes to the collective good. Our research outlines a significant need for a new set of competencies provided through a newly designed curriculum and/or through focused training, in order to cultivate generosity across cultures, ecologies, and generations; at the same time, we also highlight the significant role that the joint efforts of the school-family-library trifecta in supporting this goal.


Author(s):  
Ziliang Cai ◽  
Lingyue Wang ◽  
Miaomiao Guo ◽  
Guizhi Xu ◽  
Lei Guo ◽  
...  

Emotion plays a significant role in human daily activities, and it can be effectively recognized from EEG signals. However, individual variability limits the generalization of emotion classifiers across subjects. Domain adaptation (DA) is a reliable method to solve the issue. Due to the nonstationarity of EEG, the inferior-quality source domain data bring negative transfer in DA procedures. To solve this problem, an auto-augmentation joint distribution adaptation (AA-JDA) method and a burden-lightened and source-preferred JDA (BLSP-JDA) approach are proposed in this paper. The methods are based on a novel transfer idea, learning the specific knowledge of the target domain from the samples that are appropriate for transfer, which reduces the difficulty of transfer between two domains. On multiple emotion databases, our model shows state-of-the-art performance.


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