17 research outputs found
Core Self-Evaluations and Self-Leadership: Exploring Their Interplay and Impact : A Hidden Driver of Job Satisfaction?
No full textSammanfattning Titel: Core Self-Evaluations and Self-Leadership: Exploring Their Interplay and Impact Nivå: Examensarbete på grundnivå (kandidatexamen) i ämnet företagsekonomi Författare: Layth Amer & Hugo Kark Handledare: Emilia Kvarnström Datum: Maj - 2025 Syfte: Syftet med studien är att undersöka hur Core Self-Evaluation (CSE) och självledarskap korrelerar, samt om och hur dessa faktorer, korrelerar med arbetstillfredsställelse bland medarbetare i det svenska arbetslivet. Metod: Studien bygger på en kvantitativ metod i form av en enkätundersökning som distribuerades via sociala medier och riktade sig till medarbetare i svenskt arbetsliv. Svar analyserades med hjälp av korrelationsanalys, ANOVA och regressionsanalys i statistikprogrammet JASP. Svar analyserades med statistikprogrammet JASP. Resultat och slutsats: Studien visar att högre nivåer av CSE hänger ihop med högre självledarskap, och att självledarskap i sin tur har ett svagt men positivt samband med arbetstillfredsställelse, medan CSE oväntat korrelerar negativt med arbetstillfredsställelse. Yngre deltagare hade högre CSE än äldre, men åldersskillnader sågs inte för självledarskap eller arbetstillfredsställelse, och av CSE-komponenterna var det främst självkänsla som drev sambandet med självledarskap. Svar analyserades med statistikprogrammet JASP. Examensarbetets bidrag: Studien integrerar teorier om CSE och självledarskap samt bidrar med nya insikter om deras gemensamma betydelse för arbetstillfredsställelse. Resultaten har praktisk relevans för organisationer som vill stärka medarbetares motivation och välmående. Förslag till fortsatt forskning: Framtida studier bör omfatta fler äldre respondenter och gärna ha longitudinell design för att undersöka utveckling över tid och i olika karriärfaser. Nyckelord: Självledarskap, Core self-evaluations (CSE), arbetstillfredsställelse.Abstract Title: Core Self-Evaluations and Self-Leadership: Exploring Their Interplay and Impact Level: Bachelor's Thesis in Business Administration Author: Layth Amer & Hugo Kark Supervisor: Emilia Kvarnström Date: May 2025 Aim: The aim of the study is to examine how Core Self-Evaluations (CSE) and self-leadership correlate, and whether and how these factors predict perceived job satisfaction among Swedish employees at work. Method: The study employed a quantitative design using a survey distributed via social media targeting employees in the Swedish workforce. Responses were analyzed with correlation analysis, ANOVA, and regression analysis in the statistical software JASP. Results and conclusions: The study shows that higher levels of CSE are linked to greater self-leadership, and that self-leadership in turn has a weak but positive relationship with job satisfaction, whereas CSE unexpectedly correlates negatively with job satisfaction. Younger participants exhibited higher CSE than older ones, but no age differences were observed for self-leadership or job satisfaction, and among the CSE components it was mostly self-esteem that drove the connection with self-leadership. Responses were analyzed using the statistical software JASP. Contribution of the thesis: This thesis provides an integrated understanding of how CSE and self-leadership interact and influence job satisfaction. By combining these concepts into a unified model, the study addresses previously identified research gaps and offers practical implications for organizations aiming to promote employee well-being and motivation. Suggestions for future research: Future studies should include a larger proportion of older respondents and ideally use a longitudinal design to examine development over time and across different career stages. Key words: Self-leadership, Core self-evaluation, job satisfaction.
Core Self-Evaluations and Self-Leadership: Exploring Their Interplay and Impact : A Hidden Driver of Job Satisfaction?
No full textSammanfattning Titel: Core Self-Evaluations and Self-Leadership: Exploring Their Interplay and Impact Nivå: Examensarbete på grundnivå (kandidatexamen) i ämnet företagsekonomi Författare: Layth Amer & Hugo Kark Handledare: Emilia Kvarnström Datum: Maj - 2025 Syfte: Syftet med studien är att undersöka hur Core Self-Evaluation (CSE) och självledarskap korrelerar, samt om och hur dessa faktorer, korrelerar med arbetstillfredsställelse bland medarbetare i det svenska arbetslivet. Metod: Studien bygger på en kvantitativ metod i form av en enkätundersökning som distribuerades via sociala medier och riktade sig till medarbetare i svenskt arbetsliv. Svar analyserades med hjälp av korrelationsanalys, ANOVA och regressionsanalys i statistikprogrammet JASP. Svar analyserades med statistikprogrammet JASP. Resultat och slutsats: Studien visar att högre nivåer av CSE hänger ihop med högre självledarskap, och att självledarskap i sin tur har ett svagt men positivt samband med arbetstillfredsställelse, medan CSE oväntat korrelerar negativt med arbetstillfredsställelse. Yngre deltagare hade högre CSE än äldre, men åldersskillnader sågs inte för självledarskap eller arbetstillfredsställelse, och av CSE-komponenterna var det främst självkänsla som drev sambandet med självledarskap. Svar analyserades med statistikprogrammet JASP. Examensarbetets bidrag: Studien integrerar teorier om CSE och självledarskap samt bidrar med nya insikter om deras gemensamma betydelse för arbetstillfredsställelse. Resultaten har praktisk relevans för organisationer som vill stärka medarbetares motivation och välmående. Förslag till fortsatt forskning: Framtida studier bör omfatta fler äldre respondenter och gärna ha longitudinell design för att undersöka utveckling över tid och i olika karriärfaser. Nyckelord: Självledarskap, Core self-evaluations (CSE), arbetstillfredsställelse.Abstract Title: Core Self-Evaluations and Self-Leadership: Exploring Their Interplay and Impact Level: Bachelor's Thesis in Business Administration Author: Layth Amer & Hugo Kark Supervisor: Emilia Kvarnström Date: May 2025 Aim: The aim of the study is to examine how Core Self-Evaluations (CSE) and self-leadership correlate, and whether and how these factors predict perceived job satisfaction among Swedish employees at work. Method: The study employed a quantitative design using a survey distributed via social media targeting employees in the Swedish workforce. Responses were analyzed with correlation analysis, ANOVA, and regression analysis in the statistical software JASP. Results and conclusions: The study shows that higher levels of CSE are linked to greater self-leadership, and that self-leadership in turn has a weak but positive relationship with job satisfaction, whereas CSE unexpectedly correlates negatively with job satisfaction. Younger participants exhibited higher CSE than older ones, but no age differences were observed for self-leadership or job satisfaction, and among the CSE components it was mostly self-esteem that drove the connection with self-leadership. Responses were analyzed using the statistical software JASP. Contribution of the thesis: This thesis provides an integrated understanding of how CSE and self-leadership interact and influence job satisfaction. By combining these concepts into a unified model, the study addresses previously identified research gaps and offers practical implications for organizations aiming to promote employee well-being and motivation. Suggestions for future research: Future studies should include a larger proportion of older respondents and ideally use a longitudinal design to examine development over time and across different career stages. Key words: Self-leadership, Core self-evaluation, job satisfaction.
Enhancing Autonomous Robot Perception Via Slam Coupled With AI-Driven Selective Obstacle Object Detection
No full textAutonomous mobile robots are changing various industries, making them more efficient
and adaptable. They are used in critical sectors such as manufacturing, healthcare, logistics,
and infrastructure to make operations smoother, increase productivity, and make
the economy more resilient. This is done through Robotics Automation Systems (RAS).
The research presented in this thesis addresses a pivotal problem in the field of mobile
robotics, specifically the limitations of conventional Simultaneous Localization and
Mapping (SLAM) algorithms in accurately recognizing and mapping various types of
obstacles and hazards. Existing methodologies often lack the computational intelligence
to differentiate between physical and non-physical obstacles, leading to suboptimal navigational
decisions and posing safety risks. To rectify these shortcomings, the proposed
solution unfolds in a structured five-stage approach: AI-based object detection, stereo
vision, disparity and depth estimation, dimension estimation, and SLAM integration.
The AI models achieved an accuracy rate of 0.975 for bottle obstacle detection and 0.906
for fire flame identification. Depth and dimension estimation stages employed stereo vision
techniques to attain an accuracy of 94% and 96.7%, respectively, for objects within
a 6-meter radius of the robot. Including a GPS-less capability reduced locational error
to 0.3 meters, outperforming traditional GPS modules with up to 5-meter errors. The
concluding stage integrates these advancements into the SLAM-generated occupancy
grid, enhancing the robot’s environmental mapping and navigational capabilities. The
research successfully proposed an autonomous mobile robot system that can visually
distinguish obstacles, pinpoint their location and dimensions, and deftly navigate around
them, enhancing its operational autonomy and safety in complex environments
First case of chronic cell leukemia discovered incidentally in extra-saccular inguinal lymph node during laparoscopic bilateral inguinal hernia repair : Case report and literature review
No full textIntroduction: Chronic cell leukemia discovered incidentally in extra-saccular inguinal lymph node during laparoscopic bilateral inguinal hernia repair is extremely rare. Presentation of case: 62-year-old Romanian male presented at the outpatient general surgery clinic in April 2019 complaining of bilateral inguinal swelling that gradually increased in size mainly on right side and was diagnosed with bilateral inguinal hernia. During the laparoscopic repair of the hernia, a large lymph node in the left femoral canal was incidentally observed. Histopathologic, immunohistochemical, and flowcytometric evaluation of the excised specimen confirmed chronic lymphocytic leukemia/small lymphocytic lymphoma. Discussion: Whole body CT showed supra and infra-diaphragmatic lymphadenopathy, and few small subsolid pulmonary nodules, possibly metastatic. Splenomegaly and pancreatomegaly were also noted, suggesting lymphomatoid infiltration. Conclusion: There is need for cautious inspection and meticulous palpation of the inguinal area for any lymphadenopathy during routine inguinal hernia repair.CC BY-NC-ND 4.0© 2021 The AuthorsCorresponding author at: Department of Surgery, Hamad General Hospital, Hamad Medical Corporation, Doha, Qatar. E-mail address: [email protected] (W. El Ansari). </p
Object Depth and Size Estimation using Stereo-vision and Integration with SLAM
No full textAutonomous robots use simultaneous localization and mapping (SLAM) for efficient and safe navigation in various environments. LiDAR sensors are integral in these systems for object identification and localization. However, LiDAR systems though effective in detecting solid objects (e.g., trash bin, bottle, etc.), encounter limitations in identifying semitransparent or non-tangible objects (e.g., fire, smoke, steam, etc.) due to poor reflecting characteristics. Additionally, LiDAR also fails to detect features such as navigation signs and often struggles to detect certain hazardous materials that lack a distinct surface for effective laser reflection. In this paper, we propose a highly accurate stereo-vision approach to complement LiDAR in autonomous robots. The system employs advanced stereo vision-based object detection to detect both tangible and non-tangible objects and then uses simple machine learning to precisely estimate the depth and size of the object. The depth and size information is then integrated into the SLAM process to enhance the robot\u27s navigation capabilities in complex environments. Our evaluation, conducted on an autonomous robot equipped with LiDAR and stereo-vision systems demonstrates high accuracy in the estimation of an object\u27s depth and size. A video illustration of the proposed scheme is available at: \url{https://www.youtube.com/watch?v=nusI6tA9eSk}.Accepted version of the published article in IEEE Sensors Letter
Object Depth and Size Estimation Using Stereo-Vision and Integration with SLAM
No full textAutonomous robots use simultaneous localization and mapping (SLAM) for efficient and safe navigation in various environments. Light Detection and Ranging (LiDAR) sensors are integral in these systems for object identification and localization. However, LiDAR systems, though effective in detecting solid objects (e.g., trash bin, bottle, etc.), encounter limitations in identifying semitransparent or nontangible objects (e.g., fire, smoke, steam, etc.) due to poor reflecting characteristics. In addition, LiDAR also fails to detect features, such as navigation signs, and often struggles to detect certain hazardous materials that lack a distinct surface for effective laser reflection. In this letter, we propose a highly accurate stereo-vision approach to complement LiDAR in autonomous robots. The system employs advanced stereo vision-based object detection to detect both tangible and nontangible objects and then uses simple machine learning to precisely estimate the depth and size of the object. The depth and size information is then integrated into the SLAM process to enhance the robot's navigation capabilities in complex environments. Our evaluation, conducted on an autonomous robot equipped with LiDAR and stereo-vision systems, demonstrates high accuracy in the estimation of an object's depth and size.Scopu
Critical edition of the chapter Al-Nawazil in the book "Kitab al-Hiyal" by Abu al-Layth al-Samarqandi
No full textEbû'l-Leys es-Semerkandî'nin (d. 373/983) kaleme aldığı en-Nevâzil adlı eser, İslam Hukuku alanında önemli bir konuma sahiptir. Bu eser hicrî üçüncü ve dördüncü yüzyılda yaşamış Belhli ve Semerkandlı Hanefi fakihlerin görüşlerini içeren bir derlemedir. Ancak ifade edilmelidir ki bu görüşler Hanefî ekolün fıkhî görüşlerini yansıtan temel Hanefî hukuk literatüründe yer almamaktadır. Semerkandî bu eserinde Horasan ve Türkistan bölgesinden altı Hanefî fakihin görüşlerine yer vermiştir. Bu eserde ?Kitâbü'l-Hiyel? babı da mevcut olup iki yüz kırk mesele ele alınmıştır. Bu çalışma iki bölümden oluşmaktadır. Birinci bölümde müellifin hayatından, hocalarından, öğrencilerinden, eserlerinden ve içinde yaşadığı sosyo-politik çevreden bahsedilmiştir. Ayrıca bu bölümde genel anlamda ?hiyel ilmi?nden söz edilmiştir. İkinci bölümde ise, ?Kitâbü'l-Hiyel ve'l-Mehâric? babının edisyon kritiği sunulmuştur. Metin, Süleymaniye Kütüphanesi'nde bulunan iki nüshası karşılaştırılmak sureti ile oluşturulmuştur. Eserde geçen İslam Hukuku terimleri ve şahıs isimleri hakkında dipnotlarda açıklamalarda bulunulmuştur. Ayrıca esere ve yazarına sonraki dönem Hanefî literatürde yapılan atıflara işaret edilmiştir.The book al-Naw?zil by Ab? al-Layth al-Samarqand? (d. 373/983) is regarded as one of the most important books in the field of Islamic Jurisprudence. This work is a compilation that involves the legal opinions issued by the experts of Islamic Jurisprudence of Balkh and Samarqand in the third and fourth centuries A.H. But one should point out that these opinions do not occur in the major reference books of the Hanafite School of law. Al-Samarqand? included in this compilation the opinions of six distinguished Hanafite scholars from the regions of Khurasan and Turkistan. This book contains a chapter called ?Kit?b al-Hiyal wa al-Makh?rij?, i.e., the Book of Circumventions, in which two-hundred and forty legal issues are discussed. This study is composed of two chapters. In the first, I spoke of the biography of the author, including his teachers, his students, his works as well as the socio-political upsetting in which he was born and raised. In this chapter, I also talked of the science of circumvention in general terms. In the second chapter, I provided a critical edition of the text of the chapter ?Kit?b al-Hiyal?. I tried to restructure the text by comparing its two manuscripts existing in the Süleymaniye Library in Istanbul. I added some useful explanations on Islamic legal terms in footnotes, providing biographical information about the scholars occurring in the text. I also pointed to the credits given to the book and its author in the later Hanafite literature
Development of a self-regulated bubble irrigation system to control the size and shape of wetting fronts
No full textThe main objectives of this study were to introduce a bubble irrigation system, compare the wetting fronts created by the bubble and free-flow systems, and test the viability of a bubble irrigation system. Two laboratory experiments were conducted using 2D flow to measure the wetting fronts. The first experiment measured the free-flow infiltration using an inverted, open plastic bottle. The second experiment tested the bubble-flow technique using an inverted, closed plastic bottle (ICPB). The results showed that the bubble-flow system created a larger width of wetting fronts at the beginning of the infiltration and then expanded less than that of the free-flow system. In contrast, the infiltration depth of the wetting fronts created by the bubble-flow system was much lower than that of the free-flow system. In conclusion, the wetting front width and depth in the bubble-flow system were slightly smaller than those in the free-flow system. In addition, the wetting fronts created by the ICPB were not moved upwards significantly, which proves the ability of specific distribution of the bubble-flow system on the wetting fronts. Therefore, the bubble irrigation system can be used as an alternative for distributing the moisture content in soil profiles
Benefits of Exercise Training For Computer-Based Staff: A Meta Analyses
No full textBackground: Office workers sit down to work for approximately 8 hours a day and, as a result, many of them do not have enough time for any form of physical exercise. This can lead to musculoskeletal discomforts, especially low back pain and recently, many researchers focused on home/office-based exercise training for prevention/treatment of low back pain among this population. Objective: This Meta analyses paper tried to discuss about the latest suggested exercises for the office workers based on the mechanisms and theories behind low back pain among office workers. Method: In this Meta analyses the author tried to collect relevant papers which were published previously on the subject. Google Scholar, Scopus, and PubMed were used as sources to find the articles. Only articles that were published using the same methodology, including office workers, musculoskeletal discomforts, low back pain, and exercise training keywords, were selected. Studies that failed to report sufficient sample statistics, or lacked a substantial review of past academic scholarship and/or clear methodologies, were excluded. Results: Limited evidence regarding the prevention of, and treatment methods for, musculoskeletal discomfort, especially those in the low back, among office workers, is available. The findings showed that training exercises had a significant effect (p<0.05) on low back pain discomfort scores and decreased pain levels in response to office-based exercise training. Conclusion: Office-based exercise training can affect pain/discomfort scores among office workers through positive effects on flexibility and strength of muscles. As such, it should be suggested to occupational therapists as a practical way for the treatment/prevention of low back pain among office workers. </jats:p
Haris: an Advanced Autonomous Mobile Robot for Smart Parking Assistance
No full textThis paper presents Haris, an advanced autonomous mobile robot system for
tracking the location of vehicles in crowded car parks using license plate
recognition. The system employs simultaneous localization and mapping (SLAM)
for autonomous navigation and precise mapping of the parking area, eliminating
the need for GPS dependency. In addition, the system utilizes a sophisticated
framework using computer vision techniques for object detection and automatic
license plate recognition (ALPR) for reading and associating license plate
numbers with location data. This information is subsequently synchronized with
a back-end service and made accessible to users via a user-friendly mobile app,
offering effortless vehicle location and alleviating congestion within the
parking facility. The proposed system has the potential to improve the
management of short-term large outdoor parking areas in crowded places such as
sports stadiums. The demo of the robot can be found on
https://youtu.be/ZkTCM35fxa0?si=QjggJuN7M1o3oifx.Comment: Accepted in 2024 IEEE International Conference on Consumer
Electronics (ICCE), Las Vegas, NV, USA, 202
