Miracle-dz/UniFAR-FTUs huggingface dataset:
IS GENDER A RISK FACTOR FOR LUNG CANCER? STUDY ON A PATIENT COHORT FROM CLINICAL PNEUMOLOGY HOSPITAL OF CONSTANTA

Background There are few reports witch to assess differences in clinicopathological parameters between women and men with lung cancer. This paper focuses on the demographic factors and factors connected with disease in patients diagnosed with lung cancer. Matherials and methods – Data were recorded on all patients with newly diagnosed lung cancer who presented at Clinical Pneumology Hospital of Constanta over a 5 years period. Results – There were 90 women and 388 men with lung cancer. Women were older than men (67.48 versus 60.99 years; P <0.001). Squamous cancer was the predominant type of lung cancer in men (45.6%) and adenocarcinoma (37.6%) was more frequent in women. Women were more frequently non-smokers than men (35.5% versus 3.1%; P <0.001). Adenocarcinoma patients smoked less intensively than patients with squamous and SCLC both in women (32.3 versus 36.6 and 34.6 packs/year; P <0.02) and in men (39.3 versus 44.6 and 43.2 packs/year; P <0.002). A significantly higher percentage of women than men with disseminated diseases was observed (20.3% versus 13.9%; P <0.001). Five years survival was higher for women than men (14.2% versus 8.9%). Conclusions: Lung cancer was four times more frequent in men than in women. Women with lung cancer were older than men and smoked less intensively. Over-representation of adenocarcinoma was observed in the women. Women with lung cancer had a better survival than men.
Comparison of Standard Computation Against Distributed Computation Using Hadoop Cluster

Computing the solutions to real life problems has become the need of the hour and has become a matter of utmost importance. In earlier times, it took days/months to compute and use algorithms to make things work, but as time passed on, computers became faster and more efficient, and these computations took less time. Now a days, new computation techniques are being invented. One such technique which will be discussed in this paper is Distributed Computation using Hadoop. Instead of using a single computer to solve problems, multiple virtual machines will be set up and will be used to prove quantitatively the time taken to execute one job using standard computation is much more than the time taken to execute the same job using Distributed Computation using Hadoop. This will help in faster computation and less time to perform tasks, as compared to standard methods which do not use cloud technology.
Discussion on the Flexible Manufacturing and Operation Strategy Model for a Machine Tool Component Company in Taiwan

Recently, many manufacturing industries have been facing challenges such as rising material costs, small-volume and large-variety products, shortened production cycles, increased labor costs and longer after-sales service times, which is a very tough challenge for most small and medium-sized component manufacturing suppliers. In addition to the current hot topics in the manufacturing industry - Smart Manufacturing (Industry 4.0) and lean production management, if small and medium-sized enterprises are not able to adjust the pace of manufacturing timely and find a suitable production model, they will soon be overwhelmed by the torrent of the era of speed and accuracy. In the face of the dramatic changes in the industry structure, the company can deploy the global expansion of overseas customers in advance, and adjust to apply and implement a flexible manufacturing model system through the introduction of the Industrial Internet of Things and flexible manufacturing production management. In order to meet the market needs, the manufacturing industry is gradually oriented towards customized production and the rapid development of new products. To meet such stringent requirements, flexible manufacturing becomes one of the necessary ways for enterprises to consider their development models. Therefore, the efficiency and reliability of work can be improved through the Industrial Internet of Things that facilitates machine-to-machine communication, cloud-based big data and learning and imitations of smart robots. This study is an in-depth study of a company that is currently in the process of digital transformation, collecting relevant information and reviewing the analysis to find a suitable smart manufacturing solution for the company and to explore the impact of the COVID-19 pandemic on the strategic development of the company. The findings can provide a significant reference for homotypic companies in the development of their business strategies.
Examining the effect of human resource planning on the performance of public sector organizations

The study examines the effect human resource planning has on the performance of public sector organizations in Nigeria. The study adopted a cross-sectional survey research design with the collection of primary data using a questionnaire that was administered to 100 employees in the human resource department of the Ministry of Works and housing in Abuja, Nigeria. Correlation analysis using Pearson correlation was employed to determine the relationship between the variables and regression analysis was used to analyze the hypotheses with the aid of the IBM statistical package for social sciences. The result findings revealed that the multiple correlation coefficient indicates a strong correlation between the variables (R= 0.779). and that projected demand for workforce and recruitment and selection account for 60.7% of the total variation in organization performance. Of the two variables used, the recruitment and selection process account for the highest contribution to organization performance. Effective human resource planning in terms of projected demand for workforce and recruitment and selection will enable institutions to attract the right kind of people in the right numbers, improve employees' expertise, talents, and abilities, and keep them in the business. The study recommends that the recruitment and selection process should be open and transparent with little or no political interference to allow for the selection of applicants with the right expertise and skills into the workforce.
Review on MIMO Detection under Imperfect CSI

: Multilateral input systems (MIMO) have set very high standards in recent decades, including IEEE 802.11n (Wi-Fi) and long-term evolution (LTE). In addition, MIMO techniques will be used for 5G by increasing the number of antennas at the end of the channel. MIMO systems enable multiplexing spatial, capable of increasing the capacity of the communication channel in proportion to the minimum number of antennas installed on both sides without sacrificing any additional bandwidth or power. To handle space-division multiplexing (SDM), recipients must use new algorithms to exploit location data to separate streams of data transferred. This chapter offers an overview of all the most popular and promising MIMO machines, as well as some unusual-yet-interesting ones. We focus on the definition of different paradigms to highlight the different ways studied.
VEmotion: Using Driving Context for Indirect Emotion Prediction in Real-Time

Detecting emotions while driving remains a challenge in Human-Computer Interaction. Current methods to estimate the driver’s experienced emotions use physiological sensing (e.g., skin-conductance, electroencephalography), speech, or facial expressions. However, drivers need to use wearable devices, perform explicit voice interaction, or require robust facial expressiveness. We present VEmotion (Virtual Emotion Sensor), a novel method to predict driver emotions in an unobtrusive way using contextual smartphone data. VEmotion analyzes information including traffic dynamics, environmental factors, in-vehicle context, and road characteristics to implicitly classify driver emotions. We demonstrate the applicability in a real-world driving study (N = 12) to evaluate the emotion prediction performance. Our results show that VEmotion outperforms facial expressions by 29% in a person-dependent classification and by 8.5% in a person-independent classification. We discuss how VEmotion enables empathic car interfaces to sense the driver’s emotions and will provide in-situ interface adaptations on-the-go.
Design of JET Humanoid Robot with Compliant Modular Actuators for Industrial and Service Applications

This paper presents the development of the JET humanoid robot, which is based on the existing THORMANG platform developed in 2015. Application in the industrial and service fields was targeted, and three design concepts were determined for the humanoid robot. First, low stiffness of the actuator modules was utilized for compliance with external environments. Second, to maximize the robot whole-body motion capability, the overall height was increased. However, the weight was reduced to satisfy power requirements. The workspace was also increased to enable various postures, by increasing the range of motion of each joint and extending the links. Compared to the original THORMANG platform, the lower limb length increased by approximately 20%, and the hip range of motion increased by 39.3%. Third, the maintenance process was simplified through modularization of the electronics and frame design for improved accessibility. Several experiments, including stair climbing and egress from a car, were performed to verify that the JET humanoid robot performance enhancements reflected the design concepts.
Bank Competition–Stability Relations in Pakistan: A Comparison between Islamic and Conventional Banks

This study comparatively analyses the financial stability of Islamic and conventional banks in Pakistan. Using data of 29 conventional and 9 Islamic banks over 18 years, the study first estimates bank competition and stability using Lerner index and Z-Score, respectively. Generalized least squares regression is used and the coefficients are estimated by using random-effects estimator. Results of the mean comparison show that Islamic banks carry more market power (less competition) and are more stable compared to their conventional counterparts. Results of a panel regression show that competition positively affects the stability of the banking sector and this effect is higher for Islamic banks due to their market power. Results also show that bank stability in Pakistan was reduced during global crisis period; however, presence of Islamic banks contributes to the stability even during crisis. Finally, this study supports the competition-stability hypothesis for Islamic banking in Pakistan. Recommendations are given at the end.
1731-Article Text-8705-2-15-20210813.docx

Bibliotherapy, the therapeutic use of reading, was introduced to the U.S Military in World War II by the Council on Books in Wartime, a non-profit organization who sent millions of books to the deployed servicemen. Since its effectiveness was never examined, the military’s use of bibliotherapy ended with the war. Therefore, this study focused on analyzing the effect of the Council on Books in Wartime's book contributions upon homesickness and stress in deployed servicemen in WWII. The findings would evaluate the effectiveness of reading as a tool to mitigate homesickness and stress, two factors which heavily impact the mental wellbeing of deployed servicemen and women. To conduct this study, a retrospective correlational case study was conducted on a sample of eight WWII veterans, two of which reported reading while six reported never reading during their service. Each veteran was interviewed with questions derived from the Utrecht Homesickness Scale and the Perceived Stress Scale to quantify the change between both variables after reading. The data was disaggregated for those who did read and those who did not and further disaggregated into early-deployment and late deployment (or pre-reading and post-reading). After conducting the interviews, it was found that the difference between the change in both groups (those who did read and those who did not) was statistically significant for both homesickness and stress. Although there are a number of limitations to the results of this study, the data does suggest that there is a negative correlation between reading and homesickness and stress.
COUNTING ICE-WEDGE POLYGONS FROM SPACE: USE OF COMMERCIAL SATELLITE IMAGERY TO MONITOR CHANGING ARCTIC POLYGONAL TUNDRA

Abstract. The microtopography associated with ice wedge polygons (IWPs) governs the Arctic ecosystem from local to regional scales due to the impacts on the flow and storage of water and therefore, vegetation and carbon. Increasing subsurface temperatures in Arctic permafrost landscapes cause differential ground settlements followed by a series of adverse microtopographic transitions at sub decadal scale. The entire Arctic has been imaged at 0.5 m or finer resolution by commercial satellite sensors. Dramatic microtopographic transformation of low-centered into high-centered IWPs can be identified using sub-meter resolution commercial satellite imagery. In this exploratory study, we have employed a Deep Learning (DL)-based object detection and semantic segmentation method named the Mask R-CNN to automatically map IWPs from commercial satellite imagery. Different tundra vegetation types have distinct spectral, spatial, textural characteristics, which in turn decide the semantics of overlying IWPs. Landscape complexity translates to the image complexity, affecting DL model performances. Scarcity of labelled training images, inadequate training samples for some types of tundra and class imbalance stand as other key challenges in this study. We implemented image augmentation methods to introduce variety in the training data and trained models separately for tundra types. Augmentation methods show promising results but the models with separate tundra types seem to suffer from the lack of annotated data.
MACHINE LEARNING IN BANKRUPTCY PREDICTION – A REVIEW

: There is an increasing interest in machine learning for bankruptcy prediction with more and more researchers contributing to the literature. Although there is a considerable amount of research, the domain does not seem to be aligned and there is still a lot of indecisiveness in terms of what is the best method to be used and on which data. Using Web of Science, Scopus and ScienceDirect databases, a systematic review of 32 texts published between 2016 and 2020 was conducted. This review shows a summary of those papers based on 9 criteria. The criteria identified include source of data, number and type of variables, models used, industry type, and timeline of dataset, sample size, aim and result as well as accuracy of the best performing model used. Overall, it has found that no model performs best on any type of data and that the domain is still away from having a conclusion about what works best and where. This paper contributes towards updating academics and practitioners with the current state of the domain, tools used for bankruptcy prediction lately and their performance.
Geometric Distance Fields of Plane Curves

This paper introduces a geometric generalization of signed distance fields for plane curves. We propose to store simplified geometric proxies to the curve at every sample. These proxies are constructed based on the differential geometric quantities of the represented curve and are used for queries such as closest point and distance calculations. We investigate the theoretical approximation order of these constructs and provide empirical comparisons between geometric and algebraic distance fields of higher order. We apply our results to font representation and rendering.
Cooperative Task Offloading Using Cloud And Edge Computing

- Recently, we've seen a paradigm shift in mobile computing, moving from centralised cloud computing to mobile edge computing, from mobile Internet access to the new fifth-generation cellular network connectivities are the most noteworthy developments for cloud computing (MEC) MEC's main characteristic would be that it pushes cloud applications, network management, and memory onto network edges (e.g., area network and network devices) so that resource-constrained mobile devices won't be running computation-intensive applications. A single variable antenna design has the potential to slash the overall network delay and cellular energy consumption by a considerable amount, enabling the 5G ambition to become a reality. MEC's provided a strong incentive for industry and academic exploration of the conduct of extensive research & development efforts. One result of MEC research is that fuses wireless networking and computing to merge various technologies, which have led to the development of designs ranging from processing offloading methods to networking architectures. MEC has brought a detailed treatment of computer and field resources to the latest innovations under intense light, and ongoing research attention. In this paper, the debate of which emphasises the importance of continued advancement in these areas. To better understand these problems and investigate solutions, we also study MEC device implementation, with cache enabled MEC, solve mobility management issues, and assess potential problems, and look into avenues of further privacy improvements. Such progress as we make in the development of MEC will be needed for MEC to transition to real life. Now that we've learned the definition of simple expansive, we'll broaden on a few more popular MEC concepts and MEC efforts.
Panoramic Image Stitching using Feature Extraction: The Current State of the Art

- This document is a report on Image Stitching and its current state of the art. Image stitching is the process of creating one contiguous image from a given set of images that have some common overlapping region in them. Previous researches done on this topic show that this is an evolving technology and there is still a lot of scope for improvement in this field as although we are able to achieve good results but we haven ’ t really been able to achieve perfection. There are a lot of factors that are responsible for the same. While Stitching Images, there could be many challenges such as images being corrupt by noise and/or presence of parallax in the images. Image Stitching process is divided into 5 major steps: Image Registration, Feature Detection,
UTILIZING VISUAL IMAGES OF AUTISM BEHAVIORAL SYMPTOMS IN FACEBOOK APPLICATION FOR RAISING AN AWARENESS AMONG SECONDARY SCHOOL TEACHERS IN PULAU PINANG

This paper highlights the outcomes of utilizing visual images of Autism behavioural symptoms using Facebook application to increase awareness among secondary school teachers in Pulau Pinang. The issues of identifying autism symptoms have always been questions to many of us. Autism always misinterpreted and associated with a group of complex disorders of brain development, these disorders are characterized in varying degrees, by difficulties in social interaction, verbal and nonverbal communication and repetitive behaviours. The conventional method in identifying autism symptoms was limited and too clinical to be understood by the societies. Furthermore, children diagnosed with autism tend to have different behaviour which difficult to recognised. By utilizing social media apps such as Facebook, it helped the teachers to increase their awareness towards basic symptoms of these children’s. Selected images of autism behavioural symptoms were hand drawn and posted to the Facebook application for the identification purposes from the respondents. This research investigated the effects of visual images on Facebook based on how many ‘Like’ or ‘Dislike’ features given by respondents. Based from the outcomes, it’s revealed that the use of visual images in Facebook application managed to increase the awareness towards identifying autism behavioural symptoms.
Interrelations Between Process and Institutionalization of Organizational and Interorganizational Learning with Performance

This study aims to verify the interrelations between process and institutionalization of organizational learning (OL) and interorganizational learning (IL) with organizational performance. We have proposed and tested a theoretical model applied to 181 companies from 14 cooperation networks of the southern region of Brazil, through a survey and using the Structural Equation Modeling. We have identified that OL process influences OL institutionalization, that in turn influences IL process, IL institutionalization and company performance. IL process influences IL institutionalization and relationship-based corporate performance, as well as company performance impact on relationship-based corporate performance. We have rejected the hypotheses regarding the relations between OL process with IL process, IL process and institutionalization with company performance and IL institutionalization with relationship-based corporate performance. The results have reinforced that although OL and IL are conceptually different, they are complementary.
Sentiment Analysis of Social Media Content for Music Recommendation

There is a growing use of social media for communication and entertainment. The information obtained from these social media platforms like Facebook, Linkedln, Twitter and so on can be used for inferring users’ emotional state. Users express their emotions on social media such as Twitter through text and emojis. Such expression can be harvested for the development of a recommender system. In this work, live tweets of users were harvested for the development of an emotion-based music recommender system. The emotions captured in this work include happy, fear, angry disgusted and sad. Users tweets in the form of emojis or text were matched with predefined variables to predict the emotion of users. Random testing of live tweets using the system was conducted and the result showed high predictability.
LITERATURE REVIEW STUDY OF THE RELATIONSHIP BETWEEN LEADERSHIP STYLE, LEADERSHIP BEHAVIOUR, AND LEADERSHIP TRAITS

Purpose: This paper attempts to interpret and discuss leadership and the three contradicted terms to reveal the misuse of those three terms with leadership. Methodology: The study uses a systematic method to review the previous literature related to the leadership domain and the three contradicted terms related to leadership. These are leadership style, leadership behaviour, and leadership traits. In addition, this study provides the definitions of the three contradicted terms from a linguistic and management literature perspective. Main Findings: The study proposed a definition of each of the three contradicted terms. Additionally, the study suggested a conceptual framework that combined how the three contradicted terms can be related. The findings will contribute to the expansion of theoretical knowledge in the field of leadership. Applications of this study: This paper indicates that the review of the literature regarding what differentiates the three contradicted terms is an important aspect to deeply understand leadership concepts. The definition of each of the three contradicted terms will expand the understanding of junior leadership researchers and university students. The study's originality: This study will reveal the ambiguity and misinterpretation in the literature regarding the three contradicted terms of leadership. Moreover, it will present the definition of each of the three terms; leadership style, leadership behaviour, and leadership traits. Furthermore, the proposed conceptual framework will contribute to the expansion of theoretical knowledge in the leadership domain.