Miracle-dz/UniFAR-FTUs huggingface dataset:
Making sense of cultural diversity’s complexity: Addressing an emerging challenge for leadership

The growing complexity of cultural diversity within organizations’ workforce today requires leadership to find new organizational approaches to diversity management. Today’s workforce are seeking a different management approach where the staff experience inclusion and belonging whilst contributing to the organization’s purpose. The current organizational approaches to diversity management have not been successful in delivering on the promised outcomes (e.g., creativity and innovation) that leadership seeks. Leadership’s role is critical to developing organizational approaches to diversity management. Cultural inclusion offers leadership today’s approach of managing for inclusion. This paper proposes a conceptual framework that looks at leadership’s role in their organization’s diversity management approach. We identify three dimensions in our conceptual framework that influence leadership in their effort’s for effective diversity management: leadership’s accountability for diversity management; leadership’s approach to diversity management; and leadership’s focus of diversity management. This conceptual framework allows the leadership of organizations to identify their current diversity management approaches by mapping leadership position’s position with the three dimensions to identify leadership’s role in managing their culturally diverse organizations.
High-Velocity Walk-Through Programming for Industrial Applications: A Safety-Oriented Approach

: Traditionally, industrial robots are programmed by highly specialized workers that either directly write code in platform-specific languages, or use dedicated hardware (teach-pendant) to move the robot through the desired via-points. In the last years, new strategies to manually move the robot through the human input had been introduced. During the human-robot interaction, the most limitation of this kind of use of the robot is the velocity reduction of the machine. Taken into account the introduction of sensor-based walk-through programming approaches as the ideal solution to reduce programming complexity and time, this paper proposes a safety architecture for walk-through programming of industrial manipulators specifically designed in order to reach high velocities while guaranteeing the operator’s safety. The proposed solution is validated on an industrial manipulator.
University Recommendation System for Undergraduate Studies in Bangladesh Using Distributed Machine Learning

: The study proposes a distributed machine learning-based university recommendation system (URS) in Bangladesh to help undergraduate students make informed decisions based on user ratings. The system uses advanced distributed machine learning models such as collaborative filtering and popularity-based recommender model which consists of KNNwithmeans model and singular value decomposition (SVD) model to process data and provide accurate recommendations, significantly enhancing the university selection process for students. This study advances educational technology and provides a useful tool for undergraduates in Bangladesh.
Full Wavefield Acquisition Analysis: The Benefits of Using Multiples

Despite a tremendous leap in efficiency and wavefield sampling over the last two decades, it is sometimes still difficult to achieve adequate coverage and resolution with conventional acquisition design. It is therefore necessary to carefully study the acquisition geometry, especially with respect to resolution and image quality in the cross-line direction. In this paper, we extend the focal beam method to analyze any acquisition geometries with and without using all multiples. Multiples are traditionally suppressed, but can instead be used in the imaging process where they contribute positively to the image quality.
An individual-based comparative advantage model: did economic specialization mediate the fluctuating climate of the late Pleistocene during the transition from Neanderthals to modern humans?

of the Thesis AN INDIVIDUAL-BASED COMPARATIVE ADVANTAGE MODEL: DID ECONOMIC SPECIALIZATION MEDIATE THE FLUCTUATING CLIMATE OF THE LATE PLEISTOCENE DURING THE TRANSITION FROM NEANDERTHALS TO MODERN HUMANS? Ronald F. Smith Thesis Director: Susan Antón Anthropologists continue to debate the grounds for the survival of anatomically modern humans and the demise of the Neanderthals. One important distinction between the two groups may be the level of economic cooperation. I present a model for quantifying the benefits of within-group economic cooperation by examining all facets of productive, economic activity critical to survival in the fluctuating climate of Europe at the time of the transition from Neanderthals to Early Modern humans. The model’s decision making engine is based on David Ricardo’s Law of Comparative Advantage. Data from the prehistoric archaeological and physical anthropological records define the main economic parameters of the model: group size, task repertoire, and individual skill variation. Settlement patterns for both groups are based on individual site data, climate, and periods of occupation. Climate records, derived from ice-cores, terrestrial cores, and paleoclimate reconstructions define the climatic input for the model. The model presented here covers new ground in that it addresses within-group individual skills across all tasks critical to survival, and not just foraging. It addresses the impact on individual and group survival, and it illustrates the importance of diversity and cooperation in stressful, climatic situations.
Complete Response to Cetuximab Plus Paclitaxel Therapy in Nivolumab-Refractory Patients in Distant Metastasis of Squamous Cell Carcinoma of the Tongue: A Report of Two Cases

Herein, we report two cases of patients diagnosed with nivolumab-refractory distant metastatic squamous cell carcinoma of the tongue who were successfully treated with a combination of paclitaxel and cetuximab. Case 1 had controllable local recurrence and distant metastasis. Case 2 had controllable distant metastatic disease. Thus, demonstrating that some nivolumab-refractory patients with recurrent or distant metastatic oral squamous cell carcinoma may benefit from subsequent salvage chemotherapy.
Toward Standardization and Automation of Data Science Projects: MLOps and Cloud Computing as Facilitators

: The significant increase in the amount of generated data provides potential for organizations to improve performance. Accordingly, Data Science (DS), which encompasses the methods to extract knowledge from data, has increased in popularity. Nevertheless, enterprises often fail to reap the benefits from data as they suffer from high failure rates in the conducted DS projects. Literature suggests that the main reason for the lack of success is shortcomings in the current pool of DS project management methodologies. Hence, new procedures for DS are required. Consequently, in this paper, the outline for a model for DS project standardization and automation is discussed. Following a summary of DS project challenges and success factors, the concept, which will incorporate MLOps and cloud technologies, and its individual components to address these issues are described on a high level. Therefore, the foundation for further research endeavors in this area is presented.
Validating a Language-Independent CS1 Learning Outcomes Assessment

Assessing learning outcomes in computer science education is essential as it is an indicator of student progress, the effectiveness of teaching methods, and areas for improvement. Aptitude tests have been widely used to measure these learning outcomes; however, they are not without their issues with reliability, difficulty, and applicability across courses and institutions. To address these issues, this study aims to contribute to the development of a reliable, language-independent testing instrument that accurately evaluates students' performance, capabilities, and grasp of the learning outcomes from an introductory computer science course. In this study, we employed the Second Computer Science 1 Exam Revised version 2 (SCS1Rv2) as a post-assessment tool to measure learning outcomes. The SCS1Rv2 was administered in three CS1 course sections, and the results were compared with the final grades of the students. The validation of the SCS1Rv2 was done using Item Response Theory where the test was assessed for its difficulty and reliability. We found that the SCS1Rv2 is a reasonable predictor of course learning outcomes. The intent of this study is to aid in the creation of a standardized, reliable, and effective testing instrument that can be used across different courses and institutions. The SCS1Rv2 has the potential to be a valuable tool in its development.
URadar: Discovering Unrestricted File Upload Vulnerabilities via Adaptive Dynamic Testing

Unrestricted file upload (UFU) vulnerabilities, especially unrestricted executable file upload (UEFU) vulnerabilities, pose severe security risks to web servers. For instance, attackers can leverage such vulnerabilities to execute arbitrary code to gain the control of a whole web server. Therefore, it is significant to develop effective and efficient methods to detect UFU and UEFU vulnerabilities. Towards this, most state-of-the-art methods are designed based on dynamic testing. Nevertheless, they still entail two critical limitations. 1) They heavily rely on manual efforts, which are error-prone and have poor adaptability. 2) They seldom leverage effective information to guide the testing, resulting in generating a large number of invalid test cases. Such limitations severely hinder the performance of UFU vulnerability detection. In this paper, we propose URadar, an adaptive dynamic testing-based method for detecting UFU and UEFU vulnerabilities. There are three core designs in URadar, including file upload interface identification, file type restriction inference, and invalid mutation combination filtration, which can effectively solve the two limitations of existing methods. To evaluate the performance of URadar, we conduct extensive experiments and compare URadar with state-of-the-art methods (e.g., FUSE, RIPS). In testing 18 web applications, URadar discovers 26 UEFU vulnerabilities, where 8 are new, and 6 have been assigned new CVE/CNNVD IDs. By contrast, FUSE and RIPS find 14 and 2 UEFU vulnerabilities, respectively. To discover the same number of UFU vulnerabilities, FUSE needs to send 73,261 request packets with a time cost of 2,791.1s on average, 23.43 and 20.53 times of the requirements for URadar. The above results demonstrate that URadar significantly outperforms the state-of-the-art methods. In addition, we have open-sourced URadar to facilitate future research on UFU vulnerability detection.
EVALUACIÓN DE LA SELECTIVIDAD DEL TRASMALLO EN LA PESQUERÍA ARTESANAL DE LA ZONA DELTAICA ESTUARINA DEL RÍO SINÚ, CARIBE COLOMBIANO SELECTIVITY ASSESSMENT OF GILLNETS IN THE ARTISANAL FISHERY OF THE SINU RIVER ESTUARINE DELTA ZONE, COLOMBIAN CARIBBEAN

One of the most important artisanal fisheries in northern Colombia is being developed in the deltaic estuarine zone of the Sinu River (ZDERS). Little is known about the impact on the resource caused by fishing gears and even less about those which are not allowed. In order to estimate the selectivity of gillnets or «trasmallos»
Light wavelength and pulsing frequency affect avoidance responses of Canada geese

Collisions between birds and aircraft cause bird mortality, economic damage, and aviation safety hazards. One proposed solution to increasing the distance at which birds detect and move away from an approaching aircraft, ultimately mitigating the probability of collision, is through onboard lighting systems. Lights in vehicles have been shown to lead to earlier reactions in some bird species but they could also generate attraction, potentially increasing the probability of collision. Using information on the visual system of the Canada goose (Branta canadensis), we developed light stimuli of high chromatic contrast to their eyes. We then conducted a controlled behavioral experiment (i.e., single-choice test) to assess the avoidance or attraction responses of Canada geese to LED lights of different wavelengths (blue, 483 nm; red, 631 nm) and pulsing frequencies (steady, pulsing at 2 Hz). Overall, Canada geese tended to avoid the blue light and move towards the red light; however, these responses depended heavily on light exposure order. At the beginning of the experiment, geese tended to avoid the red light. After further exposure the birds developed an attraction to the red light, consistent with the mere exposure effect. The response to the blue light generally followed a U-shape relationship (avoidance, attraction, avoidance) with increasing number of exposures, again consistent with the mere exposure effect, but followed by the satiation effect. Lights pulsing at 2 Hz enhanced avoidance responses under high ambient light conditions; whereas steady lights enhanced avoidance responses under dim ambient light conditions. Our results have implications for the design of lighting systems aimed at mitigating collisions between birds and human objects. LED lights in the blue portion of the spectrum are good candidates for deterrents and lights in the red portion of the spectrum may be counterproductive given the attraction effects with increasing exposure. Additionally, consideration should be given to systems that automatically modify pulsing of the light depending on ambient light intensity to enhance avoidance.
Network Metadata (NETTA) : Sistem Monitoring Jaringan Dan Metadata UPT BMKG Dengan Notifikasi Berbasis Telegram

ABSTRACT BMKG has a role to disseminate geo-hydrometeorological information in the fields of Meteorology, Climatology and Geophysics. The dissemination process requires data from BMKG operational equipment spread across 183 Technical Implementation Units (UPT) throughout Indonesia. The recorded data must be collected and disseminated using a communication network. The existing network monitoring system currently at BMKG uses the PRTG monitoring application but can only be accessed by central employees. Thus, a system that can be accessed by regional employees to see the condition of the communication network in each UPT is needed, so that it can support operations. This paper discusses monitoring system and communication network metadata design with notifications using telegrams that can be adapted for operations at BMKG called NetTa (Network Metadata). The system consists of a network monitoring dashboard, provider rental metadata dashboard, network monitoring notifications via Telegram bots. The system operates in real time and can be accessed from anywhere using a smartphone and PC. The results of functional testing show that monitoring system of all existing features on the system can be accessed according to the design. Telegram notifications can provide network device status as well as warnings if there is a communication network interruption based on the monitored sensor code Keywords : Monitoring, Network, UPT BMKG, Telegram, Metadata
Évaluation contingente de l'usage récréatif d'une réserve naturelle humide

This paper presents a procedure used to estimate the recreational use value of “Tablas de Daimiel” National Park by applying the Contingent Valuation Method (CVM) with single dichotomous choice, using the truncated mean as welfare measure. This valuation is based on 433 interviews of visitors made during the spring and summer 1996. The sample allocation among the bids offered in the surveys is based on the Duffield and Patterson’s method which allows to get the minimal variance of the truncated mean estimator. The recreational values of the Park are not significantly different for the two periods in which the surveys have been carried out. Finally, the tests to study the “interviewers effect” and to analyse the relations between the willingness to pay (WTP) and various interviewees’ features don’t invalidate the procedure adopted to determine the recreational use value of this National Park.
Extracting Knowledge for the Success Factors of Digital Games from the Customer Review of E-Commerce

Permainan digital telah menjadi salah satu kegiatan paling populer pada user berbagai usia. Meskipun game digital telah diperkenalkan lebih dari 40 tahun yang lalu, tetapi masih sangat sedikit yang diketahui faktor-faktor apa saja yang menyebabkan sebuah game menjadi sukses di pasaran. Dalam hal ini, penelitian ini menyajikan metode baru dan implementasi praktis untuk menggali pengetahuan tentang faktor-faktor yang membuat game digital sukses di pasaran. Pengetahuan yang diperoleh dari penelitian ini dapat digunakan sebagai rekomendasi bagi perusahaan game dan desainer game dalam strategi pemasaran mereka. Pertama, penelitian ini mengembangkan metode untuk menemukan faktor-faktor yang menyebabkan sebuah game sukses dari review pelanggan e-commerce. Kedua, berdasarkan analisis temuan, penelitian ini menyajikan pengetahuan sebagai rekomendasi strategi pemasaran produk game. Hasil review user terhadap e-commerce digunakan sebagai sumber data untuk dianalisis dalam studi eksperimental. Akhirnya, hasil penelitian ini mengungkapkan bahwa metode yang diusulkan dapat memperoleh rekomendasi pengetahuan.
A Framework for a Decision Support System to Optimize Cloud-Hosted Services for Multitenancy Isolation

One of the challenges of optimizing the deployment of components of cloud-hosted services for guaranteeing multitenancy isolation is how to make optimal decisions that involve resolving the trade-off between a lower degree of isolation versus the possible interference that may occur between components or a higher degree of isolation versus the challenge of high resource consumption and the running cost of the components. Although, many cloud providers offer some functionality in the form of rule-based algorithms, such as Amazon’s Auto-Scaling and Microsoft’s Windows Azure Traffic Manager. These functionalities are deployed to configure the scaling function of the cloud-hosted services but do not implement the varying degrees of multitenancy isolation for individual components. The aim of this paper is to present a framework for developing a decision support system for optimizing the deployment of components of cloud-hosted services for guaranteeing multitenancy isolation. The framework comprises of a decision support model algorithm, a system architecture, and an algorithm for creating the input files for implementing the decision support system. Extensive experimental evaluation of the framework with a decision support model algorithm shows that it can be used by cloud providers and users to guarantee varying degrees of isolation between tenants.
Treatment of the Harmful Effect of Hydrogen Peroxide using the Amino Acid Selenocysteine and Sulfur Element on the Concentration of Nutrients in Yellow Corn Plant (Zea mays L.)

A field experiment was conducted during the fall season (2022) in the fields of the College of Agriculture - University of Diyala in order to demonstrate the effect of the amino acid Selenocysteine and the sulfur element and the interference between them in treating the harmful effect of hydrogen peroxide and its effect on the nutrients (N, P, K, S) of the yellow corn plant (Zea mays.L). The experiment was carried out according to the randomized complete block design (RCBD), a regular factorial experiment with three replications, and the experimental parameters included the following: Three levels of spraying with acid with hydrogen peroxide (0, 5, 10) mg. liter-1 and three levels of spraying with the amino acid Selenocysteine (0, 50, 100) mg. liter-1, 2concentrations of liquid sulfur Zolfast (0, 2.5) g. Liter-1 and H2O2 was sprayed first, then the experimental factors were sprayed later, the corn crop was grown, and the results showed that spraying hydrogen peroxide with a high concentration (H10) led to a decrease in the studied characteristics, And when spraying the plant with acid (Sec), the studied characteristics increased with increasing concentrations of spray, and also these characteristics increased when spraying sulfur, and the bilateral interferences between the study factors gave a significant increase in the proportion of nutrients (N, P, K, S), and the triple interaction between The three factors of the study (H2O2 + Sec + S) treated the damage of hydrogen peroxide through the presence of an increase in the proportion of all studied characteristics when spraying the plant with amino acid and sulfur (H10, Sec100, S2.5) and when not spraying them (H10, Sec0, S0).
Classification of Questionnaires with Open-Ended Questions

: Questionnaires with open-ended questions are used across industries to collect insights from respondents. The answers to these questions may lead to labelling errors because of the complex questions. However, to handle this noise in the data, manual labour might not be feasible due to low-resource scenarios. Here, we propose an end-to-end solution to handle questionnaire-style data as a text classification problem. In order to mitigate labelling errors, we use a data-centric approach to group inconsistent examples from the banking customer questionnaire dataset in Turkish. For the model architecture, BiLSTM is preferred to capture long-term dependencies between contextualized word embeddings of BERT. We achieved significant results on the binary questionnaire classification task. We obtained results up to 81.9% recall and 79.8% F1 score with the clustering method to clean the dataset and presented the results of how it impacts overall model performance on both the original and clean versions of the data.
Soil Nutrient Characteristics under Different Land Use Types in a Gully-hilly Region of the Loess Plateau

Land degradation is an important factor restricting social and economic sustainable development in the Loess Plateau,China.In this study,a field survey was carried out to investigate the soil nutrients under different land use types(woodland,grassland,orchard,terrace and slope farmland) in the plateau.The analyzed results of 8 soil nutrient indicators at 33 sample sites showed that the effects or impacts of different land use types on soil erosion were quite different,especially for the indicators,such as soil organic matter content,total nitrogen content and available nitrogen content.The soil organic matter content and total nitrogen content were in an obvious order of woodland slope farmland ≈ terrace orchard grassland,the available P content was in an order of orchard slope farmland terrace woodland grassland,and the available P content under crops was obviously higher than that under natural vegetation.The study results revealed that terrace,as a traditional soil conservation practice,could perform very well in conserving soil nutrients,but the soil conservation capability of slope grassland was the poorest in the gully-hilly region of the Loess Plateau.