Miracle-dz/UniFAR-FTUs huggingface dataset:
Can Mutual Fund 'Stars' Really Pick Stocks? New Evidence from a Bootstrap Analysis

We apply a new bootstrap statistical technique to examine the performance of the U.S. openend, domestic-equity mutual fund industry over the 1975 to 2002 period. Specifically, we bootstrap the joint distribution of performance measures (\alphas) across all funds to determine whether managers of high-alpha funds are simply the luckiest in a large field of managers, or whether they possess genuine stockpicking skills. This bootstrap approach is necessary because the cross-section of mutual fund alphas has a complex, non-normal distribution{due to heterogeneous risk-taking by funds as well as non-normalities in individual fund alpha distributions. Our bootstrap approach reveals findings that differ from many past studies. Specifically, we find that a sizable minority of managers really do pick stocks well enough to more than cover their costs. Moreover, our bootstrap indicates that the superior alphas of these managers persist.
The Method for Transforming the Shape File in ESRI into the Oracle Spatial DB for the Spatial DB Construction of the Drainage System

Recently, use of the GIS (Geographic Information System) for the disaster of the urban inundation is increasing. The digital disaster map is the system which analyzes the occurrence area of inundation in the past and forecasts the flood areas by the hydrology method. The development of the system which simulates the flood forecast area by the SWMM(Storm Water Management System) and hydrology method and displays the danger areas is required for the construction of the inundation forecast system. And the spatial database which contains information of the urban facilities such as the street and building and the sewer system such as the manhole and drainage and the result of the hydrology analysis is constructed. In this paper, we propose the method for transforming the Shape File in ESRI into the Oracle spatial database to construct the spatial data for the drainage systems and urban facilities using the Shape File format in the ESRI. We suggest the algorithm for the transformation of the data format, and develop the prototype system to display the inundation area using the spatial database.
A transgenetic algorithm for the quadratic minimum spanning tree problem

The Quadratic Minimum Spanning Tree Problem is a variation of the classic Minimum Spanning Tree Problem which considers the costs of pairs of edges as well as the costs of edges. This problem is NP-hard and therefore there isn’t a known polynomial time solu- tion for it. Since it was first described, several metaheuristic approaches have been applied to this problem, trying to find close-to-optimal solutions. Out of those, the tabu search technique has shown the most promising results, having been successfully applied to this problem many times. This work proposes a new metaheuristic approach to this prob- lem, a transgenetic algorithm. The transgenetic algorithm is an evolutionary algorithm that has shown good results for other optimization problems. The proposed transgenetic algorithm was implemented, as well as a tabu search from the literature for comparison purposes. Computational experiments were performed on those algorithms and the results are described and analyzed in this work.
Akuntabilitas Perencanaan Dan Penganggaran Keuangan Desa

Keuangan desa adalah semua hak dan kewajiban desa yang dapat dinilai dengan uang dan segala sesuatu dalam bentuk uang dan barang yang terkait dengan pelaksanaan hak dan kewajiban desa (Undang-Undang Nomor 6 Tahun 2014 Pasal 71 ayat 1). Perencanaan pembangunan desa adalah tahap kegiatan yang diselenggarakan oleh pemerintah desa dengan melibatkan Badan Permusyawaratan Desa dan unsur-unsur masyarakat secara partisipatif untuk memanfaatkan dan mengalokasikan sumber daya desa untuk mencapai tujuan pembangunan desa. Pemerintah Desa menyusun perencanaan Pembangunan Desa sesuai dengan kewenangannya, mengacu pada perencanaan pembangunan Kabupaten/Kota. Anggaran Pendapatan dan Belanja Desa (APBDesa) adalah instrumen penting yang sangat menentukan realisasi tata pemerintahan yang baik di tingkat desa. Tujuan dari penelitian ini adalah: 1) Untuk membuktikan pengaruh Perencanaan pada Akuntabilitas Keuangan Desa. 2) Untuk membuktikan pengaruh Penganggaran terhadap Akuntabilitas Keuangan Desa. 3) Untuk membuktikan pengaruh Perencanaan dan Penganggaran Keuangan Desa terhadap Akuntabilitas Keuangan Desa. Subjek penelitian ini adalah pemerintah desa di Kabupaten Nganjuk. Dalam penelitian ini menggunakan metode deskriptif kuantitatif dengan pendekatan asosiatif yang bertujuan untuk mengetahui pengaruh atau hubungan antara dua variabel atau lebih. Dalam penelitian ini populasi adalah semua desa di Kabupaten Nganjuk dengan 264 desa. Tentukan jumlah sampel dari suatu populasi menggunakan rumus Slovin dengan Toleransi Ketidaktepatan 5%. Dalam penelitian ini ada 159 desa dalam sampel. Teknik pengambilan sampel dalam penelitian ini dilakukan secara acak dengan stratified random sampling. Teknik pengumpulan data dalam penelitian ini menggunakan kuesioner atau kuesioner. Instrumen penelitian yang digunakan dalam penelitian ini menggunakan Skala Likert, dengan skala peringkat Likert dari 1 hingga 5. Penelitian ini menggunakan pengujian Validitas dan Reliabilitas Instrumen. Teknik Analisis Data dalam penelitian ini menggunakan Uji Normalitas, Uji Multikolinieritas, Tes heteroskedastisitas, dan Uji Autokorelasi. Pengukuran statistik deskriptif dalam penelitian ini menggunakan Analisis Regresi Linier. Untuk menguji model regresi dan hipotesis menggunakan uji statistik, yaitu uji T dan uji F. Output yang ditargetkan dalam rencana penelitian ini diserahkan ke jurnal nasional ISSN. Rencana penelitian ini didukung oleh Pemerintah Daerah Kabupaten Nganjuk melalui Layanan Pemerintah Desa Masyarakat yang diharapkan juga akan dilanjutkan sebagai kegiatan bantuan desa dalam konteks pelayanan masyarakat.
Framed reef modules: a new and cost‐effective tool for coral restoration

Coral reef ecosystems worldwide are facing significant damage due to climate change and human disturbances. Consequently, restoration actions have been implemented to repair degraded reef areas. However, many restoration efforts have been hindered by severe environmental conditions, which can hamper restoration success and create challenges in developing cost‐effective coral reef restoration methods. To address this, we conducted a study to test a low‐cost reef restoration tool known as “framed reef modules” (FRMs), specifically aiming to mitigate the impacts of typhoons. We measured the growth rates (after 300 days) and survivorship (after 400 days) of Acropora hyacinthus and A. microphthalma fragments located at different distances from substrates (H0, H10, H30, and H45). The FRMs were exposed to multiple typhoons, and despite the harsh conditions, they remained undamaged. For comparison, we also examined basalt grid plates buried in gravel. After 400 days, the H45 FRMs showed the highest survival rates (A. hyacinthus 86% and A. microphthalma 90%) compared to H30 FRMs (A. hyacinthus 80% and A. microphthalma 84%), H10 FRMs (A. hyacinthus 4% and A. microphthalma 24%), and H0 FRMs (A. hyacinthus 3% and A. microphthalma 22%). It was found that transplanted corals with a height of at least 30 cm from the substrate demonstrated resilience against impacts caused by macroalgae, turf algae, and sedimentation rates. This study showed the effectiveness of an ecological engineering approach using FRMs to enhance the three‐dimensional complexity of restored reefs and rehabilitate coral reefs damaged by typhoons. Furthermore, this method offered reduced costs and improved reef resilience.
Deep Learning Techniques in the Cancer-Related Medical Domain: A Transfer Deep Learning Ensemble Model for Lung Cancer Prediction

Problem: Cancer is regarded as one of the world's deadliest diseases. Machine learning and its new branch (deep learning) algorithms can facilitate the way of dealing with cancer, especially in the field of cancer prevention and detection. Traditional ways of analyzing cancer data have their limits, and cancer data is growing quickly. This makes it possible for deep learning to move forward with its powerful abilities to analyze and process cancer data. Aims: In the current study, a deep-learning medical support system for the prediction of lung cancer is presented. Methods: The study uses three different deep learning models (EfficientNetB3, ResNet50 and ResNet101) with the transfer learning concept. The three models are trained using a CT lung cancer dataset consisting of 1000 images and four different classes. The data augmentation process is applied to prevent overfitting, increase the size of the data, and enhance the training process. Score-level fusion and ensemble learning are also used to get the best performance and solve the low accuracy problem. All models were evaluated using accuracy, precision, recall, and the F1-score. Results: Experiments show the high performance of the ensemble model with 99.44% accuracy, which is better than all of the current state-of-the art methodologies. Conclusion: The current study's findings demonstrate the high accuracy and robustness of the proposed ensemble transfer deep learning using various transfer learning models
Effect of fungicide and essential oils amended wax coating on quality and shelf life 77-90 of sweet orange ( Citrus sinensis Osbeck

Mango ginger (Curcuma mangga Valeton & Zijp.) is an underutilized rhizomatous species that has been valued in the tropical Asian countries as a source of vegetable, spice, salad, medicine and essential oil. This species is hardy and requires less care for obtaining good yields. Rhizomes are the commonly used propagules for the species, which are also the economic part of the crop. Huge quantity of seed rhizomes is required to promote this crop in larger area. Efficient in vitro multiplication protocol is one of the options to meet the planting material requirement. Effects of carbon source (glucose, fructose and sucrose) and concentration (1 and 3%, w/v), cytokinins (BAP and meta topolin) and concentration (1 mg/ L and 2 mg/L), size of explants (one/ two/ three bud) and IBA treatment (0, 250, 500 and 1,000 mg/L) for concurrent ex vitro rooting cum hardening were studied. Results revealed that for facilitating efficient multiplication, medium should be supplemented with glucose (3%) as carbon source and meta topolin (1 mg/L) as cytokinin. Two-bud explant should be used for subculture as it promoted superior shoot proliferation. Concurrent ex vitro rooting cum hardening was possible even without auxin treatment. The present protocol could be useful for large scale production of quality planting material of this underexploited tropical species.
Ollier Disease: A Case Report and Review of Treatment Options

Ollier disease is a rare skeletal dysplasia characterized by the formation of multiple enchondromas (enchondromatosis), typically in the long bones of the extremities. These tumors are benign but can become complicated by the development of pathologic fractures, limb deformity, and malignant transformation to chondrosarcoma. Ollier disease has a highly variable presentation and is associated with a range of presenting findings; however, the most common presentation is a pathologic fracture. Surgical options include curettage and grafting of the enchondromas and, when displaced, fracture reduction and fixation. Of note, these fractures will heal without surgery. Regardless, all patients must be routinely monitored with yearly radiographs in order to detect malignant transformation as early as possible. In this report, we describe the case of an 11-year-old female who presented to her physician with pain and swelling of her right ring and small fingers after playing in a swimming pool with no obvious mechanism of trauma. A routine, plain radiographic evaluation of her hand revealed the presence of multiple enchondromatosis. We hope to use this case to highlight the surgical management options for young patients with Ollier disease and discuss circumstances in which surgical management may not be indicated.
Translation and Cultural Adaptation of Constant Score into Persian

Shoulder disorders are one of the most common problems in orthopedic patients. With the development of shoulder disease treatment methods and the invitation of new therapies, the need for a standard tool to assess shoulder function increases. One of these tools is a questionnaire that should have acceptable reliability and validity. Constant Score (CS) is one of the first shoulder scoring systems that has been used as the most common scoring system to assess shoulder disorders. This questionnaire was redeveloped in 2008 with a change in terms and methodology and is currently in use in many countries. Due to the lack of a Persian version, this questionnaire is used in inaccurate translation without any specific and standard instructions in Iran right now. As a result, this study provides a complete and standard translation of this questionnaire.
Recognition of Antibiotic Resistance Patterns of Staphylococcus aureus Isolated from skin Infection

Out of 70 samples (skin swabs) gathered from patient experiencing skin contamination , Staphylococcus aureus was the predominant microorganisms with 57 % (40 segregates). S. aureus was the commonest bacterial separated in grown-up ages assemble in bigger than 18 years of age and the extent of these segregates were expanded with the expanding of age and the most noteworthy rate of disengages were found in the age bunches 26 – 35 years (58%) and 15-25 , 36-45 years (56%). S. aureus detached in male (62.5%) higher them in female (37.5%). A large portion of detaches show (100%) various imperviousness to erythromycin , antibiotic medication, Nalidixic corrosive, Nitrofurantion, Cefepime, and Azithromycin. While bring down resistance was seen to ceftriaxone, cefotaxime , cefixin, and Ciprofloxacin ,when their resistance achieved just 72.5, 62.5, 60, 50, and 25 % for each, individually.
Consulting Services to Determine the Effectiveness of Vegetation Classification Using WorldView 2 Satellite Data for the Greater Everglades

3 Introduction . 6 Methods . 9 1) Establishment of Classification Schema and Class Definitions for Plant Communities . 9 2) Acquisition and Atmospheric Correction of Satellite Data . 12 World View 2 Data . 13 Landsat TM and ETM+ Data . 14 Atmospheric Correction Results . 14 3) Model-Based Classifier Evaluation and Selection . 16 Training sample selection . 17 4) Design-Based Post-classification Accuracy Assessment . 18 5) Scaling Method Evaluation . 18 Results . 19 Detection TTB Wet Prairie, Shrubland, Tree Island Mosaic . 20 Detection WE3A Ridge, Slough, Tree Island Mosaic . 23 Scaling TTB Wet Prairie, Shrubland, Tree Island Mosaic . 25 Scaling WE3A Ridge, Slough, Tree Island Mosaic . 27 Synthesis Discussion . 28 Tables . 32 Figures . 48 References . 61
Assessing the Impact of Microservices Architecture on Software Maintainability and Scalability

This evaluation delves into the influence of Microservices Architecture (MSA) on crucial factors like software maintainability and scalability, which are vital in today's software development. Exploring MSA's features and benefits reveals how it streamlines bug tracking, improves system comprehension, increases testability, enables independent scaling of services, and optimizes resource utilization. The assessment also identifies potential obstacles, including distribution challenges, communication overhead, network delays, and data consistency. Renowned organizations like Amazon and Netflix have provided real-life scenarios with significant evidence of MSA's practicality and limitations. Though MSA's importance in building durable, scalable systems is underlined, the evaluation also stresses the need for solid design principles, practical management approaches, and constant refinement of procedures.
Man Versus Machine: Automation, Market Structure and Skills

The paper asks a simple question. If individuals demand products from the firms in the economy and supply their skills concomitantly to the firms, then why should there be skill gap in the society, i.e., mismatch between skills that individuals possess and firm’s demand. After all, in a decentralised economy prices of various products and skill specific wages should adjust to ensure that there is match between demand and supply of skills. The paper suggests that there are three factors that keep skill gap alive. The first two are the web of dynamic complementarities in the way human beings acquire skills and the way they invent new technologies. The third factor is the lack of competition in the product market that accompanies period of accelerated technical change. The papers looks at the impact automation and globalisation has had in opening up the skill gap and suggest policies that would help close the skill gap. With accelerated changes in technology and concomitant social changes, it is ever so more important to have a learning environment that allows workers and citizens in the society to learn and adapt flexibly.
MRTD: man versus machine

We present Minimum-Resolvable Temperature Difference (MRTD) curves obtained by letting an ensemble of observers judge how many of the six four-bar patterns they can “see” in a set of images taken with different bar-to-background contrasts. The same images are analyzed using elemental signal analysis algorithms and machine-analysis based MRTD curves are obtained. We show that by adjusting the minimum required signal-to-noise ratio the machine-based MRTDs are very similar to the ones obtained with the help of the human observers.
The impact of business intelligence system (BIS) on quality of strategic decision-making

This study aims to investigate the impact of Business Intelligence Systems (BIS) on the quality of strategic decision-making in top-level management. The independent variables in this study are Data Quality, Data Visualization, and BI Management, while the dependent variable is the Quality of Strategic Decision-Making. Additionally, the study explores the moderator variable, BI Scope, to further understand the relationship between BIS and the quality of strategic decision-making. By providing valuable insights into the relationship between BIS and the quality of strategic decision-making, this study contributes to the existing body of knowledge on business intelligence and strategic decision-making. The findings show that BI Management, BI Scope, Data Quality, and Data Visualization have substantial and favorable correlations with the quality of strategic decision-making. Effective BI Management techniques contribute to higher decision-making quality, emphasizing the necessity of BI resource management. The study also underlines the importance of BI Scope as a moderator variable, demonstrating its impact on the connection between BI and quality of decision-making. In addition, the research shows that Data Quality and Data Visualization have a considerable influence on strategic decision-making quality. Using effective visualization tools and ensuring high-quality data improves the results of decision-making processes. The interaction impact between BI Scope and Data Quality, on the other hand, was determined to be non-significant.
Multilevel climatic responses in migratory insects

Evidence is mounting that migration in ectotherms is more widespread than formerly believed. Thus, a number of insects living in temperate climates, including locusts, butterflies, moths and dragonflies, following seasonal migration strategies show high responsiveness to alterations in climatic processes, similar to a broad taxonomic range of birds. On global scales, migratory insects include iconic large butterflies, dragonflies and also a number of crop pests. However, insect migrations are ecologically distinct from those of vertebrates, often relying heavily on seasonal winds and multiple generations to complete a full annual cycle, due to short insect life spans. Here, we review publicly available online resources to identify key patterns of spatial, taxonomic scales and complexity of climatic responsiveness to environmental predictors in migratory insects. We found that migratory insects respond to various levels of complexity in climatic patterns, and these responses are predicted by life history and ecological traits: (i) responses to climatic effect type were predicted by climate zone(s) of the distribution area, whereas (ii) response to climatic complexity was predicted by body size. In conclusion, migratory insects respond to various levels of complexity in climatic processes, and this responsiveness is governed by a substantially wider array of environmental predictors than demonstrated in vertebrates.
Re-imagining a new town: The architecture of empowerment and segregation in a Dutch post-war neighbourhood

Architects meet a practical need for places to dwell, work, rest or play, but they tend to operate on the premises of an artist. There is, however, something irrevocable behind architecture. Architects put an ineradicable stamp on the environment. In contrast with a painting or a play, one cannot alter an architectonic work of art other than by blowing it up or pulling it down. Streets, squares, buildings and parks form the physical structure within which social life takes place. Yet the hard city as it is designed, built and managed, is not only guided by aesthetic or artistic ideas. Architects, designers and town planners also play a crucial role in translating conflicting claims on urban space. The urban landscape in this sense has been understood as materialized discourse, be it an expression, reflection or reproduction of political ideals and ideologies. This paper explores this social production of space through an examination of two design projects in Hoogvliet, a post-war neighbourhood in southwest Rotterdam, undergoing radical restructuring. This paper argues that questions of symbolism, discourse, imagery and representation, which have come to the foreground of urban studies, are tied up with the political and economic processes of social and spatial transformation. Striking a middle ground between culturalist and political economic approach to urban space (Eade & Mele 2002), this paper shows how architectural designs in hoogvliet are linked to shifts in the ideological foundations of urban renewal policy and the emergence of an entrepreneurial discourse in public sector planning. Our focus here is thus not so much on the design itself or its materialization into physical space, but on the discursive framing of