Miracle-dz/UniFAR-FTUs huggingface dataset:
Examining the Relationship Between Corporate Social Responsibility and Employee Turnover Intentions: A Comprehensive Review

This paper thoroughly explores the relationship between Corporate Social Responsibility (CSR) and employee turnover intention, employing the Systematic Literature Review (SLR) method. It emphasizes the pivotal role of employees as the core resources of an organization and highlights the negative impact of workforce mobility on organizational performance and profitability, particularly in fiercely competitive markets where retaining key technical personnel is essential. The associated costs of employee turnover, such as recruitment expenses, labor force losses
Dynamics of Pakistan-US relations after US withdrawal from Afghanistan: challenges and prospects

Since the 1950s till February 2023, ties between Pakistan and the United States (US) have seen many highs and lows. The current dynamics of Pakistan-US relations after the US withdrawal from Afghanistan have posed myriad challenges and further complicated the relationship between the two countries. The withdrawal has impacted the dynamics of the relationship between Pakistan and the US, and the implications of this shift have far-reaching consequences for regional security and stability. The paper discusses those challenges and brings forth the prospects that will shape the future of the relationship after new developments, including security concerns, geo-economic, people-to-people ties, and climate change. The researchers put the study together by using a qualitative research design. The theoretical framework of research is based on using soft power, which suggests that Pakistan-US relations could be improved by prioritising diplomacy, trade, dialogue, and cooperation rather than relying on threats and coercion. Overcoming the historical animosity in the Pakistan-US relationship presents a significant challenge for both states. Engaging in sustained and constructive dialogue will require mutual trust, prudence, determination, and strong political will. The paper concludes by stressing the importance of cooperation over common issues, trust-building, and a geo-economic approach to the relationship.
Poster: Everyday interaction with autonomous Internet of Things

This research seeks to investigate the design of interaction mechanisms and user interfaces for a future Autonomous Internet of Things (A-IoT). Recent studies examining the real-world acceptance of a IoT systems (e.g smart thermostat) highlighted how errors, limited legibility, lack of accountability of the ownership, intent and excessive user expectations caused frustration and abandoning of the technology. These findings suggest that the design of A-IoT systems needs to address several challenges to be made accountable; including, on the system side, designing autonomous decision-making to take into account the uncertain nature of contingent human behaviour; and on the user side, the need to make these systems legible and usable in everyday life. Our goal is thus to establish the scientific underpinnings of user interactions with A-IoT systems, in a domestic everyday context, with the aim of elucidate the aforementioned challenges.
Prediction of vertical gradient of gravity and its significance for volcano monitoring – example from Teide volcano

Abstract We present a detailed calculation of the topographic contribution to the vertical gradient of gravity (VGG) based on high-resolution digital elevation model (DEM) and new developed software (Toposk) for the purpose of predicting the actual VGGs in the field. The calculations presented here were performed for the Central Volcanic Complex (CVC) of Tenerife. We aimed at identifying the most extreme VGGs within the CVC, as well as predicting the VGGs at benchmarks of the former microgravity/deformation network set up to monitor the 2004/5 unrest. We have carried out an observational campaign in June 2016 to verify the predicted VGG values, both the extreme ones and those at the benchmarks. The comparison between the predicted and the in-situ verified VGGs is presented here. We demonstrate the sensitivity of the VGG prediction to the choice of the topo-rock density, which is inherent to the volcanic areas with high variability of rock densities. We illustrate the significance of the use of actual VGG in volcano monitoring microgravimetric surveys on a couple of benchmarks of the CVC network.
Mitochondrial and Cellular Function in Fibroblasts, Induced Neurons, and Astrocytes Derived from Case Study Patients: Insights into Major Depression as a Mitochondria-Associated Disease

The link between mitochondria and major depressive disorder (MDD) is increasingly evident, underscored both by mitochondria’s involvement in many mechanisms identified in depression and the high prevalence of MDD in individuals with mitochondrial disorders. Mitochondrial functions and energy metabolism are increasingly considered to be involved in MDD’s pathogenesis. This study focused on cellular and mitochondrial (dys)function in two atypical cases: an antidepressant non-responding MDD patient (“Non-R”) and another with an unexplained mitochondrial disorder (“Mito”). Skin biopsies from these patients and controls were used to generate various cell types, including astrocytes and neurons, and cellular and mitochondrial functions were analyzed. Similarities were observed between the Mito patient and a broader MDD cohort, including decreased respiration and mitochondrial function. Conversely, the Non-R patient exhibited increased respiratory rates, mitochondrial calcium, and resting membrane potential. In conclusion, the Non-R patient’s data offered a new perspective on MDD, suggesting a detrimental imbalance in mitochondrial and cellular processes, rather than simply reduced functions. Meanwhile, the Mito patient’s data revealed the extensive effects of mitochondrial dysfunctions on cellular functions, potentially highlighting new MDD-associated impairments. Together, these case studies enhance our comprehension of MDD.
Does Financial Technology and Financial Literacy Enhance Financial Inclusion? (Evidence from Several Countries)

This research aims to examine whether there is a relationship between financial literacy and financial technology with financial inclusion. Financial literacy in this context encompasses aspects of knowledge, skills, financial aspects, financial management, and access to financial knowledge. Meanwhile, financial technology includes digital financial services, financial behavioral intentions, and digital financial access. Financial inclusion covers financial stability, financial services, and digital finance. The methodology used in this research is qualitative research using literature studies, which include samples and data from 96 reputable international journals. The research was conducted from October until completion. The results of this study indicate that financial literacy and financial technology have a significant influence on financial inclusion.
Measuring the refraction index of luminescent carbon nanodots forming Gaussian beam using the tracker software

Nanotechnology is currently regarded as one of the fastest-growing technologies. Equipping students with some understanding of nanotechnology in relation to physics ideas may trigger their interest and inspire them to learn physics. This study is aimed to measure the refraction index of Cdots solution using the Gaussian beam and Tracker software. The method used in this research is quantitative descriptive method with the stages of research that include designing, construction, developing, and testing the measuring instrument. The procedure in this study begins by preparing the Cdots solution from cajuput oil (CJO) distillation wastes. The Cdots are then characterized using the UV-visible (UV-Vis), photoluminescence (PL), time resolved-PL (TRPL), and Fourier transform infrared (FTIR) spectroscopies. The Cdots solution is then put into a reaction tube with solution height variation. The violet/UV laser pointer is exposed upward towards the Cdots solution from the bottom of the reaction tube producing a Gaussian beam inside the reaction tube. The Gaussian beam is then photographed, which then the format is converted into a video format. The video format of the Gaussian beam is analyzed using the Tracker software. The characterizations of the Cdots show i) an absorption peak at a wavelength of 216.0 nm, ii) an emission peak at 512.29 nm indicating cyan luminescence, iii) an electronic lifetime of 51.3 ns, and iii) functional groups of O-H; C=C; and C=O. Moreover, the Gaussian beams are formed for various heights of the Cdots solution, i.e.: from 5.364 cm to 13.000 cm. Using the Tracker software, the value of the Cdots’ refraction index is 1.29 0.03, which is comparable to the refraction index of water. This measuring instrument has the potential to be used in high school physics classes and/or first-year university physics courses.
UNIVERSIDADE FEDERAL DO RIO GRANDE DO SUL INSTITUTO DE GEOCIÊNCIAS PROGRAMA DE PÓS-GRADUAÇÃO EM GEOCIÊNCIAS EVOLUÇÃO PALEOCEANOGRÁFICA E ESTRATIGRAFIA ISOTÓPICA COM FORAMINÍFEROS PLANCTÔNICOS NO QUATERNÁRIO TARDIO DA

Planktonic foraminifera is the most useful microfossil group for biostratigraphic studies, being considered the main carriers of paleoceanographic information and being applicable to the analysis of sedimentary basins. The main aim of this work is to propose a paleoceanographic reconstruction model in the Campos Basin, by analyzing 61 samples taken from the GL-77 core, collected at the lower continental slope, in the offshore part of the basin. The interval comprises the last two GlacialInterglacial cycles, corresponding to the planktonic foraminifera biozones W (partially), X, Y and Z. By means of analysis of the total fauna, datings in C and isotopic analyses of δO and δC in shells of planktonic foraminifera estimates of variations of paleoproductivity, paleosalinity and sea surface paleotemperature were obtained; an age model and, posteriorly, the sedimentation rates were calculated. The age model identified the Last Glacial Maximum (LGM) and estimated the ages of a few biostratigraphic events, such as YP.2 datum, the MIS 3/4 boundary (which coincides with the Y2/Y3 boundary), the Y1/Y2 boundary and the YP.4 datum. The sedimentation rates are strangely elevated in Biozone X (glacial period) where lower rates would be expected. In the Holocene there is an elevated sedimentation rate, associated to the influence of the Paraiba do Sul River delta, at the northern portion of the basin. The paleotemperatures oscillate seasonally in the glacial periods, when the amplitude between summer and winter is larger than the one registered in the interglacial periods. A correlation was observed between the paleotemperatures and the environmental conditions characterized by the warm and cold subzones in Biozone X. Based on the P/B ratio a limit of sequences can be identified next to the MIS 4/5 boundary. Paleosalinity is reduced in deglaciation periods. Paleoproductivity is reduced to 29 ka (MIS 2/3 boundary) by the LGM and increases near the Pleistocene/Holocene boundary. Finally, it was observed that the Pleistocene/Holocene transition occurs inside Biozone Y, and is not temporally related to the beginning of Biozone Z.
Concurrent Detection of a Papillomatous Lesion and Sequence Reads Corresponding to a Member of the Family Adintoviridae in a Bell’s Hinge-Back Tortoise (Kinixys belliana)

Simple Summary This article describes the diagnostic evaluation and therapy of a tortoise with a bulging oral lesion of unknown origin. Initially, the animal owner indicated that a similar oral mass at the same location had been surgically removed four years ago. At that time, the abnormal oral structure had not been evaluated further. This time, the mass was removed surgically and further examined by both veterinary pathologists (veterinarians specialised in the examination of animal diseases and body structures) and virologists. No causal agents, which have been described before to trigger comparable lesions in tortoises, were found. Parts of the removed lesion were examined in further virological studies to scan the tissue material for potential new infectious agents, which might be connected to the abnormal oral lesion. Indeed, the authors were able to detect virus material within the tissue mass belonging to a comparably new virus family. The exact influence of these agents on the origin of the lesion, though, remains unclear. Abstract An adult male Bell’s hinge-back tortoise (Kinixys belliana) was admitted to a veterinary clinic due to a swelling in the oral cavity. Physical examination revealed an approximately 2.5 × 1.5 cm sized, irregularly shaped tissue mass with villiform projections extending from its surface located in the oropharyngeal cavity. An initial biopsy was performed, and the lesion was diagnosed as squamous papilloma. Swabs taken for virological examination tested negative with specific PCRs for papillomavirus and herpesvirus. Further analysis of the oropharyngeal mass via metagenomic sequencing revealed sequence reads corresponding to a member of the family Adintoviridae. The tissue mass was removed one week after the initial examination. The oral cavity remained unsuspicious in follow-up examinations performed after one, five and twenty weeks. However, a regrowth of the tissue was determined 23 months after the initial presentation. The resampled biopsy tested negative for sequence reads of Adintoviridae. Conclusively, this report presents the diagnostic testing and therapy of an oral cavity lesion of unknown origin. The significance of concurrent metagenomic determination of adintovirus sequence reads within the tissue lesion is discussed.
Fuzzy Topsis in the Assessment of OHS Management System

Abstract Occupational health and safety (OHS) management is a cycle of decision-making processes, many of which are in fact multi-criterion processes in nature. Therefore, it is important to look for and develop tools to support decision-makers in their actions aimed at improving work safety levels. The objective of this paper is to propose and verify the fuzzy TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method applied to compare and assess the ways OHS management systems function in different companies. The fuzzy TOPSIS method has already been used for a number of years in assessments of alternative solutions in many different areas, but the application that uses ordered fuzzy numbers is quite original in nature. It is especially beneficial to use the fuzzy approach in OHS management systems, as it makes it possible for experts to assess different criteria using most frequently used linguistic variables. The adopted approach was verified in the study of OHS management systems in four furniture manufacturing companies. Assessment criteria were requirements of the PN-N 18001: 2004 Standard. Thanks to the ordered fuzzy TOPSIS method, the analysed OHS management systems were streamlined from the point of view of 24 assessment criteria, and the best and the worst functioning system was identified. The approach presented here may constitute a significant tool for improving OHS management systems.
Predicting students' success level in an examination using advanced linear regression and extreme gradient boosting

This research employs a hybrid approach, integrating advanced linear regression and extreme gradient boosting (XGBoost), to forecast student success rates in exams within the dynamic educational landscape. Utilizing Kaggle-sourced data, the study crafts a model amalgamating advanced linear regression and XGBoost, subsequently assessing its performance against the primary dataset. The findings showcase the model's efficacy, yielding an accuracy of 0.680 on the fifth test and underscoring its adeptness in predicting students' exam success. The discussion underscores XGBoost's prowess in managing data intricacies and non-linear features, complemented by advanced linear regression offering valuable coefficient interpretations for linear relationships. This research innovatively contributes by harmonizing two distinct methods to create a predictive model for students' exam success. The conclusion emphasizes the merits of an ensemble approach in refining prediction accuracy, recognizing, however, the study's limitations in terms of dataset constraints and external factors. In essence, this study enhances comprehension of predicting student success, offering educators insights to identify and support potentially struggling students.
Changes in soluble sugars, sugar profile, starch and proline in developing coconut (Cocos nucifera L.) inflorescences

Changes in soluble sugars, sugars profile, starch and proline levels in inflorescence rachillae from individual coconut palms were investigated during inflorescence development with the aim of determining a possible correlation between these characters and morphogenic potential of inflorescence tissues. Rachillae for analysis were collected from unopened inflorescences of -1 to -13 stages (considering the youngest open inflorescence as 0 stage) in decreasing order of maturity (–1 stage is the most mature stage whereas –13 is the most immature stage). Important differences among the maturity stages were observed for total sugars. In very tender inflorescences (-13 and -12), the total sugar content was very low whereas a gradual increase was observed from -11 to -7 stages, with -7 stage having the highest level. The total sugar content in more mature inflorescences was relatively low, with the exception of -2 stage, which had a high total sugar content. In regard to sugar profiles, sucrose, fructose and glucose were the main soluble sugars present in coconut inflorescence and sucrose was the most abundant sugar in -5 to -9 maturity stages. Total soluble sugars and sucrose in maturity stages from -5 to -9 showed a very similar variation and significantly higher levels of sucrose were observed in -6 to -8 stages. The proline content in the mature stages, -1 to –3, was significantly lower than in the other stages with no significant variation in the stages –4 to –11. The pattern of variation in starch content was similar to that of proline which decreased with increasing maturity of inflorescence. In view of the results obtained, the higher accumulation of sucrose and total sugars in -6, -7 and -8 stages may have some significance in morphogenesis, especially as an energy source. The 10 cm length inflorescence that responds better for callusing falls within this range. Thus total sugar and sucrose content may be possible biochemical markers for assessing the morphogenic potential of inflorescence explants.
Application of ChatGPT in Business Management and Strategic Decision Making

In the era of globalisation and the information technology revolution, businesses are faced with increasingly complex and dynamic challenges. Business managers and company executives are required to make the right and fast strategic decisions to maintain the company's competitive advantage in a rapidly changing market. Along with the development of AI and NLP, technology applications in business management have undergone significant developments. One of the latest promising innovations is the use of ChatGPT in the context of business management and strategic decision-making. This research aims to investigate the application of ChatGPT in the context of business management and strategic decision-making. This research is a literature review that adopts a qualitative method approach, which means it will analyse and interpret data by relying on information and text from various sources. The study results show that the application of ChatGPT in business management and strategic decision-making offers great potential for improving the efficiency, productivity and quality of decision-making. With its ability to provide quick responses, in-depth data analysis and personalised interactions, ChatGPT can be a valuable intelligent assistant for enterprises. Key benefits of using ChatGPT in business management are improved customer service, business process automation, and more data-driven decision-making.
Analisa Kekuatan Impak Sambungan Las Gesek Dengan Variasi Waktu Pada Dua Material Baja Aisi 1040 Dengan SS 400

Welding plays an important role in every metal working and repair in the production process. There are various methods to overcome problems in the meterial connection process. One of them is friction welding which is one of the solutions in solving metal joining problems. In this study, the method used is the RSM (Response Surface Method) method which aims to determine the value of impact strength on AISI 1040 steel which is connected to SS 400 steel which has been carried out the Friction Welding process. This study uses an impact test in accordance with the standard ASTM E23 impact test charpy method with a size of 55 mm × 10 mm × 10 mm with a notch depth of 2 mm, and a notch angle of 45 °. The impact test was conducted using the Charpy method impact testing machine model JB-300B. With a pendulum capacity of 150 Joules. Based on the results of the impact test, the largest value was obtained in the 6th and 7th experiments with an impact price value of 2.575 joules/mm2, while the smallest value was in the 3rd experiment with a value of 1.557 joules/mm2
PPSURF: Combining Patches and Point Convolutions for Detailed Surface Reconstruction

3D surface reconstruction from point clouds is a key step in areas such as content creation, archaeology, digital cultural heritage and engineering. Current approaches either try to optimize a non‐data‐driven surface representation to fit the points, or learn a data‐driven prior over the distribution of commonly occurring surfaces and how they correlate with potentially noisy point clouds. Data‐driven methods enable robust handling of noise and typically either focus on a global or a local prior, which trade‐off between robustness to noise on the global end and surface detail preservation on the local end. We propose PPSurf as a method that combines a global prior based on point convolutions and a local prior based on processing local point cloud patches. We show that this approach is robust to noise while recovering surface details more accurately than the current state‐of‐the‐art. Our source code, pre‐trained model and dataset are available at https://github.com/cg‐tuwien/ppsurf.
River Science: Research and Management for the 21st Century

This volume represents the outcome of research by many of the authors and their colleagues over the last 40 years and demonstrates the integral role that River Science now plays in underpinning our understanding of the functioning of natural ecosystems, and how societal demands and historic changes have affected these systems. The book will inform academics, policy makers and society in general of the benefits of healthy functioning riverine systems, and will increase awareness of the wide range of ecosystem goods and services they provide.