Business nowadays has no boundaries of time, place, or information, so any firm must evaluate its performance regularly to ensure long-term viability. This study aims to determine the impact of employees’ motivation and job training on company performance in a family business called PT Anugrah Mandiri. It is an automotive spare parts distribution company in Medan, Indonesia established in 2010. As a family business run by many family members, PT Anugrah Mandiri tends to undervalue the importance of providing motivation and delivering practical training to its employees. This results in most employees being overwhelmed, and the business performance is decreasing. As this study's quantitative research method shows, motivated and skilled employees are the keys to a successful firm. The instruments used to collect data are questionnaires about employees’ motivation, job training, and company performance, and then processed using SPSS. Saturation sampling is used as the sampling method by administering the questionnaires to 50 employees of PT Anugrah Mandiri. The data analysis tool in this study is a multiple linear regression by carrying out a classic assumption test continued by testing the partial hypothesis or t-test, the simultaneous hypothesis test or the F test, and the calculation of the coefficient of determination. The statistical result shows that company performance increases by 0.422 and 0.384 when employees’ motivation and job training increase by 1 unit. All hypotheses in this research are accepted, and it can be concluded that employees’ motivation and job training influence company performance.

Lila maria kaban

In the modern world, Tuberculosis (TB) is regarded as a serious health issue with a high rate of mortality. TB can be cured completely by early diagnosis. For achieving this, one tool utilized is CXR (Chest X-rays) which is used to screen active TB. An enhanced deep learning (DL) model is implemented for automatic Tuberculosis detection. This work undergoes the phases like preprocessing, segmentation, feature extraction, and optimized classification. Initially, the CXR image is preprocessed and segmented using AFCM (Adaptive Fuzzy C means) clustering. Then, feature extraction and several features are extracted. Finally, these features are given to the DL classifier Deep Belief Network (DBN). To improve the classification accuracy and to optimize the DBN, a metaheuristic optimization Adaptive Monarch butterfly optimization (AMBO) algorithm is used. Here, the Deep Belief Network with Adaptive Monarch butterfly optimization (DBN-AMBO) is used for enhancing the accuracy, reducing the error function, and optimizing weighting parameters. The overall implementation is carried out on the Python platform. The overall performance evaluations of the DBN-AMBO were carried out on MC and SC datasets and compared over the other approaches on the basis of certain metrics.

Dr h shaheen

Higher education is leadership education. The values and virtues practiced in universities heavily influence the future leaders. Many institutions of higher education simultaneously show excellence in academic subjects, are green campuses with manifold ethics curricula, are active members in community engagement, and also are adept in providing value orientation to all stakeholders. It is universally felt that the status of teaching profession requires to be raised to ensure its dignity and integrity. Accordingly, it is considered necessary that there should be a code of ethics which may be evolved by the teaching community itself for its guidance. There are five major areas of professional activities which encompass the work of a teacher. For each of these areas certain principles have been identified to serve as guidelines for teacher’s conduct. HUMAN VALUES Basic human values refer to those values which are at the core of being human. The values which are considered basic inherent values in humans include truth, honesty, loyalty, love, peace, etc. because they bring out the fundamental goodness of human beings and society at large.

Kamal singh

The ability of antimicrobial peptides (AMPs) for effective binding to multiple target microbes has drawn lots of attention as an alternative to antibodies for detecting whole bacteria. We investigated pathogenic Escherichia coli (E. coli) detection by applying a microfluidic based biosensing device embedded with AMP-labeled beads. According to a new channel design, our device is reusable by the repeated operation of detection and regeneration modes, and the binding rate is more enhanced due to even distribution of the bacterial suspension inside the chamber by implementing influx side channels. We observed higher binding affinity of pathogenic E. coli O157:H7 for AMP-labeled beads than nonpathogenic E. coli DH5α, and the fluorescence intensity of pathogenic E. coli was about 3.4 times higher than the nonpathogenic one. The flow rate of bacterial suspension should be applied above a certain level for stronger binding and rapid detection by attaining a saturation level of detection within a short time of less than 20 min. A possible improvement in the limit of detection in the level of 10 cells per mL for E. coli O157:H7 implies that the AMP-labeled beads have high potential for the sensitive detection of pathogenic E. coli at an appropriate flow rate.

Myung-suk chun

Banana (Musa spp.) are giant perennial grasses, commonly known as ‘Apple of paradise’.The chromosome counting of Elachi, Poovan and Nendran Banana traits were recorded. In average, a number of chromosomes recorded in Poovan (13.2), followed by Elachi with 11.1 chromosomes and Nendran with 10.9 chromosomes. There are various methods of determining banana ploidy level, one among is estimating stomatal density and size. The present investigation Elachi, Nendran and Poovan stomatal density range from 50 to 55/mm2 which are diploid, while Robusta ranges 34/mm2 which is triploid. Highest stomatal size recorded in Poovan traits (48 μm2) followed by Robusta (45 μm2), Nendran (28 μm2) and Elachi (21 μm2). Another method of ploidy determination is by chloroplast count in a guard cell of stomata. Elachi, Nendran, and Poovan contain 8 chloroplasts in the guard cell thus belongs to diploid. In the analysis of floral characters of all the four traits reveals that there is no significant difference in stigma length and width. Similarly, no significant variation recorded in anther length. Pollen size is often used as a biological parameter to estimate the ploidy and viability of mature pollen grains. Broad variation in pollen viability exists among clones with Musa species. Mycorrhizal association with the higher plants has also shown an increase in agricultural productivity. The percent colonization of AMF with the root system was calculated by two methods. Compare to Method – I and Method – II reveals that in Elachi 2.5%, Poovan 13.3% and 17.5% of variations recorded. Overall in the average highest percent of colonization were recorded in Poovan (76.6%).

Veerabhadraswamy al

The mobile adhoc network is a group of mobile nodes without having the fixed infrastructure. Due to the infrastructure less network and distributed nature, make mobile adhoc network susceptible to malicious attackers. So, we use an intrusion detection system called Enhanced Adaptive ACKnowledgement (EAACK) especially for mobile adhoc networks. Based on the digital signature algorithm (DSA) and RSA the EAACK is designed. To enhance the strength of the security in the mobile adhoc networks, we introduce an innovative approach called Hybrid Security Protocol that provides integrity, confidentiality and authentication. This Hybrid Security Protocol consists of Cryptography based on Elliptic curve, Dual-RSA algorithm and Message Digest MD5. Encryption is achieved by using Elliptic Curve Cryptography, Dual-RSA algorithm for authentication and MD-5 for integrity. By using a combination of both symmetric and asymmetric cryptographic techniques, we achieve better security with integrity.

Dr h shaheen

Scholars who apply artificial intelligence to political questions seek, most generally, to expand the scope and relevance of political model analysis. By incorporating the effects of variable human notions, traditions, and meanings, they seek to humanize political models. Most early applications of artificial intelligence in political science research address substantive issues pertaining to political decision making. Most of these works apply production-system technology to construct choice models in for eign-policy decision contexts. In recent years, political applications have begun to diver sify. Today, lively research efforts flourish in widely varied application areas, such as computational text analysis, logic programming, computer learning, and conflict sim ulation. The works reviewed here constitute the early steps of a nascent program of study. Much remains to be accomplished. Nevertheless, the efforts conducted thus far suggest many potentially fruitful research avenues. Youth are the most essential and promising segment of every country’s population. India has a larger advantage over other countries in terms of becoming a global leader because we effectively tap into the youth’s potential. Quality education is the only way to achieve this. With artificial intelligence’s potential growth in India, now is the ideal time to incorporate AI in education to reap its benefits and prepare India’s young for the future. Artificial intelligence has great potential in India. India’s AI technology has the potential to make it a world leader in artificial intelligence. In India, AI technology is used effectively in nearly every area, including agriculture, healthcare, education, infrastructure, transportation, retail, manufacturing, and

Dr gedam kamalakar

Nigeria is well known as a religious country where practically the citizens belong to one form of religion or the other unfortunately, the degrees of religious practces have not transformed into quality social, political, and economic lives for the people in terms of good governance, better standard of living, high ethical standards among others. It is descriptive research done as an exploratory paper in a mixed-method approach where some research questions were answered. Since ethical standards are predicated on simply knowing and doing what is good in doing to others what you will want done to you, people who claim to be religious as Nigerians should do better in this regard and many more given their faith. The effort to achieve this social rebirth can be achieved through social- entrepreneurship efforts this paper is advocating.

Olaosebikan johnson olusola (phd)

ABSTRACT The 2006 International Telecommunication Union (ITU) Radio World Conference treaty concluded that all countries should migrate from analogue to digital terrestrial television by June 2015, starting with region one countries, comprising Africa, Europe, the Middle East and the Republic of Iran (Agona & Otim, 2012). The purpose of this research was to explore the technology adoption model (TAM) to address challenges associated with digital terrestrial television migration, and analyse the readiness of South Africa to migrate. A quantitative research was conducted in order to determine the relationship between dependent and independent variables. Digital television offers many benefits for broadcasters, network operators, spectrum regulators, and consumers. In most countries, the transition was slower than expected, even though most European countries managed to migrate. The digital migration is not an easy transition and analogue switch-off can also be much more difficult. Studies have shown that analogue switch off (ASO) needs to be carefully planned and well budgeted for, and it also needs a good publicity campaign which must involve all relevant stakeholders, such as broadcasters, viewers, manufacturers, network operators, manufacturers and retailers. Even though studies conducted previously identified obstacles of digital migration to include; a) lack of awareness b) lack of information, c) influence of politics and d) influence of corruption.

Luyolo mahlangabeza

Background: Pandemics are known to cause poor mental well-being and an increased risk of mental disorders. The foremost concern emerging from different aspects of COVID-19 is its impact on mental health. There were many surveys conducted on the general population related to the effect of COVID-19 and few studies on its psychological impact but there is sparse literature on how the containment measures affected the psychiatric patients. Objective of the study was to investigate whether the COVID-19 related lockdown affected the subjective mood and behavior of psychiatric patients and their caregivers. The secondary purpose is to assess the difficulties encountered in procuring medicines and the effect of non-availability of homoeopathic medicines if any. Methods: A cross-sectional survey was conducted on mentally ill patients and their care-givers in the Outpatient Department of Psychiatry in National Homoeopathy Research Institute in Mental Health (NHRIMH), Kottayam. Respondents were evaluated with a specially framed questionnaire containing 22 questions to assess the effect of lockdown on psychiatric patients and their caregivers, who attended the OPD after the COVID-19 related lockdown. The data generated through the study are analysed and presented in this article. Results: Out of the total 548 participants (M-65.9%, F-34.1%) who responded to the survey, 290 (53%) cases expressed that they were distressed to be under lockdown. 26.5% of the clients reported worsening of mental health conditions during lockdown compared to pre-lockdown. 54.2% of the patients found difficulty in procuring homoeopathic medicines during Lockdown. Conclusions: Authorities should consider the ways of limiting the effects of confinement on mentally ill patients and their caregivers by developing strategies to mitigate the adverse consequence of the pandemic.

Dr deepthi gilla

Brain tumors (BTs) are deadly diseases that can strike people of every age, all over the world. Every year, thousands of people die of brain tumors. Brain-related diagnoses require caution, and even the smallest error in diagnosis can have negative repercussions. Medical errors in brain tumor diagnosis are common and frequently result in higher patient mortality rates. Magnetic resonance imaging (MRI) is widely used for tumor evaluation and detection. However, MRI generates large amounts of data, making manual segmentation difficult and laborious work, limiting the use of accurate measurements in clinical practice. As a result, automated and dependable segmentation methods are required. Automatic segmentation and early detection of brain tumors are difficult tasks in computer vision due to their high spatial and structural variability. Therefore, early diagnosis or detection and treatment are critical. Various traditional Machine learning (ML) techniques have been used to detect various types of brain tumors. The main issue with these models is that the features were manually extracted. To address the aforementioned insightful issues, this paper presents a hybrid deep transfer learning (GN-AlexNet) model of BT tri-classification (pituitary, meningioma, and glioma). The proposed model combines GoogleNet architecture with the AlexNet model by removing the five layers of GoogleNet and adding ten layers of the AlexNet model, which extracts features and classifies them automatically. On the same CE-MRI dataset, the proposed model was compared to transfer learning techniques (VGG-16, AlexNet, SqeezNet, ResNet, and MobileNet-V2) and ML/DL. The proposed model outperformed the current methods in terms of accuracy and sensitivity (accuracy of 99.51% and sensitivity of 98.90%).

Mehdhar s. a. m. al-gaashani

One of the unique features of Indian society is prevalence of caste system which was originated thousands of years back to demarcate the people engaged in different occupation or jobs. Initially it was not much rigid but gradually people belonging to upper castes for their own selfish means to maintain their monopoly made this arrangement hereditary and started treating people of lower castes disgracefully. For preservation of this system, people started controlling their women to prevent inter-caste marriages and the concept of endogamy came up. This robbed away many types of freedom from women. For women belonging to lower castes, this situation is worse as they are doubly subjugated on the basis on caste as well as gender. Men belonging to their own caste treat them as secondary beings. This paper throws light on this intersection. How intersection of these two kinds of inequalities place them at the lowest position in Indian society. Dr. B.R. Ambedkar rises as their leader who all his life worked for empowerment of downtrodden section of society. He argues that education is the primary tool for evading these differences among people. He further emphasizes to adopt the concept of exogamy to break the backbone of Indian caste system and to immediately leave a religion or culture which legitimizes such system of inequality among people of the same land.

Swati sharma

This study aims to explore the impact of Employee Service Innovation Behavior (ESIB) on New Service Development (NSD) among hotels’ employees. A research model was proposed in which one hypothesis was developed. The empirical data were collected from employees who are working in four- and five-star hotels in Jordan. A total of 332 questionnaires were returned and the data were analyzed using a single regression to determine the relationship between ESIB and NSD. The results supported the proposed model that there is a significant relationship between ESIB and NSD, and it also found that service innovation performance is exited in the hotel industry. The theoretical and managerial implications were drawn based on the study findings, and recommendations for future researchers were made, and limitations and conclusions are discussed.

Mukhles m. al-ababneh

Objective: To determine the association between oral health literacy, oral hygiene and gingival health status. Methods: This cross-sectional study was conducted among patients attending University of Benin Teaching Hospital, Benin City. Data were collected through interviewer-administered questionnaires. Index used in this study for estimating oral health literacy levels was Rapid Estimate of Adult Literacy in Dentistry- 30 (REALD-30). The participant’s oral hygiene status was assessed using the Simplified Oral Hygiene Index while gingival health was assessed using the Gingival Index. Results: Two hundred and eight participants with 130 (62.5%) males and 78 (37.5%) females formed the population of the study and their mean age was 28.32 ± 10.5 years. The prevalence of low oral health literacy was 86 (41.3%). The oral hygiene status of most of the participants 100 (48.1) was fair. The prevalence of gingivitis was 58.2%. Oral health literacy had significant statistical negative correlation with age, oral hygiene and gingival health status. Oral health literacy consistently emerged as a predictor of oral hygiene and gingival health status. Conclusion: Majority of the participants with low oral health literacy had fair/poor oral hygiene status (p = 0.000, OR= 17.870, 95% CI = 7.320-43.627) and gingivitis (p = 0.000, OR= 7.054, 95% CI = 3.514-14.164).

Hope inegbenosun

A study to evaluate the influence of body mass index, life styles and dietary habits on blood pressure among the nursing students at selected nursing college of Vijayapur. The objective of the study is to assess relationship of life style factors, body mass index and dietary habits with blood pressure. A sample of 500 nursing students was included in the study. The study result showed there is significant association between body mass index, life style dietary habits and blood pressure

Shwetha hitnal

Investigating school performance and competencies, especially on leadership, received a considerable attention in the past. In fact, there have been multitudes of evidence that leadership can impact school performance, student achievement, or outcome. Also, there was no single measurement of school performance. This study examined the influence of leadership and core behavioral competencies on the school performance of school heads. This was to build a new model of school performance. Using an explanatory research design, it administered a survey questionnaire to 192 randomly chosen school heads from the 37 districts of Department of Education Division of Surigao del Sur. Also, it used data mining for the performance ratings of school heads from the division office. Regression analysis tested three hypothesized models of school performance where leadership and core behavior competencies serve as independent variables. Results showed that leading people was a significant predictor of school performance. Thus, leading people can best explain the school improvement as a proposed model. The results have implications for future research, leadership practice, and theoretical development of school performance model among school heads.

Manuel caingcoy

Biological information processing networks rely on allosteric protein switches that dynamically interconvert biological signals. Construction of their artificial analogues is a central goal of synthetic biology and bioengineering. Receptor domain insertion is one of the leading methods for constructing chimeric protein switches. Here we present an in vitro expression-based platform for the analysis of chimeric protein libraries for which traditional cell survival or cytometric high throughput assays are not applicable. We utilise this platform to screen a focused library of chimeras between PQQ-glucose dehydrogenase and calmodulin. Using this approach, we identified 50 chimeras (approximately 23% of the library) that were activated by calmodulin-binding peptides. We analysed performance parameters of the active chimeras and demonstrated that their dynamic range and response times are anticorrelated, pointing to the existence of an inherent thermodynamic trade-off. We show that the structure of the ligand peptide affects both the response and activation kinetics of the biosensors suggesting that the structure of a ligand:receptor complex can influence the chimera's activation pathway. In order to understand the extent of structural changes in the reporter protein induced by the receptor domains, we have analysed one of the chimeric molecules by CD spectroscopy and hydrogen-deuterium exchange mass spectrometry. We concluded that subtle ligand-induced changes in the receptor domain propagated into the GDH domain and affected residues important for substrate and cofactor binding. Finally, we used one of the identified chimeras to construct a two-component rapamycin biosensor and demonstrated that core switch optimisation translated into improved biosensor performance.

Cagla ergun ayva

Introduction: Schizotypal personality represents genetic underpinning of schizophrenia spectrum disorders; hence, it provides conceptual models for understanding psychosis as well as a scheme for high-risk group identification. The study of structure of schizotypal personality is largely confined to western societies, whereas its assessment in varied socio-cultural groups is highly required. Aim: To study the factor structure of schizotypal personality in an Indian population. Materials and Methods: A sample of 492 college students (age, Mean= 21.3, SD= 2.61) filled the Hindi translated version of 74- items Schizotypal Personality Questionnaire (SPQ). Confirmatory Factor Analysis (CFA) technique was used to test the fitness (consonance of the modeled relationships, among latent and observed variables, in the sampled population) of different schizotypal personality models, that is, two-, three-, four-, bi-, and uni-factor models. The best-fit model was also studied for Measurement Invariance (MI) across gender groups. Results: Three, four, and bi-factor models adequately fitted the data. Whereas, four-factor model was the best good-fit model. It also showed partially strong MI across gender groups. The internal consistency of total SPQ was 0.90 and of subscales ranged from 0.62 to 0.78. Men scored higher on several schizotypal facets but lower on social anxiety as compared to women. Conclusion: The factor structure of schizotypal personality in India is similar to that reported elsewhere in the world. Thus, the present study supports the generalisation of schizotypal personality construct to the Indian people.

Sanjay kumar

Technology and Isolation in the Information Period explores the social, political, and legal implications of the group and use of personal information in computer databases. In the Information Period, our lives are documented in digital case books maintained by hundreds (perhaps thousands) of businesses and government agencies. These case books are composed of bits of our personal information, which when assembled together begin to paint a portrait of our personalities. Technology has changed our working practices and now allows us to be connected 24/7. We have the power to Skype clients around the world and email or Tweet work colleagues at weekends, but is there a danger that having connectivity so readily available hinders our efforts to gain a better work/life balance? We often read articles about the correct way to manage technology and how to achieve a happy balance of relaxing away from work and being ‘Always On’ and ‘Always available’. For instance, many people choose a job that allows them to detach from the workplace on evenings and weekends, yet technology makes it difficult for others to switch off. Now, we are huge believers in the ability to use the internet, email, Facebook, Twitter, texting and to pick up the phone and talk to people, but because of technology more people are becoming distracted and losing focus. They can’t escape from the workplace and feel that the office follows them around via their Smartphone which demands attention 24/7. It wasn’t so long ago that when we took a holiday, we would plan ahead, make sure everything was order, inform clients of our absence and brief our teams so we could disappear off to distant shores and happily sit in the sun for a relaxing fortnight, avoiding drinking the local water, eating strange local delicacies and fending of mosquitoes. But I digress … Having technology at hand means that we still have an element of control at our workplace and the ability to deal with issues if they occur. The downside to this is managing that work/life balance again. On one hand the internet is a lifeline, but it can also become a ball and chain if we don’t take the time to unplug from it. Technology allows us to be in two places at once, but when employees struggle to find the right balance between their work and personal lives there is a chance that stress levels can increase leading to a potential loss of productivity and happiness in general. In a recent survey 70% of workers said that technology brings the stress of work into their personal lives. Many Researchers have recommended drawing a line between work communications and home. This not only benefits your well being, but benefits your employer too, as you will be coming back to work refreshed and recharged.

Sunita singh

Phycochemical and pharmacological studies were carried out on Ulva fasciata Delile. The ash content was found to be 20.4812 % dry weight, moisture content 14.5514 %, and total fat content as 0.1878% and 0.49341 %. Total carbohydrate was found to be 54.5301-54.2246% dry weight, phenolic content was found to be 0.022%, flavonoids were found to be 0.0313%, and tannins were 0.00003 %. Ulva fasicata showed central analgesic activity and significant anti-inflammatory activity at 400 mg/kg bw.

Dr. salman ahmed