Miracle-dz/UniFAR-FTUs huggingface dataset:
Innovating together: What Influences the Willingness to Share Specific Knowledge as a Member of an Innovation Team?

Based on the finding that the higher the quality of Shared Mental Models (SMM) is, the higher the team’s innovativeness, this study aims to research which individual constructs affect the willingness to share and exchange special knowledge and specific information during the team creativity process. In a quantitative setting (N=11 teams, 57 master class students), the correlation of creative self-efficacy and creative personal identity [1; 2], collective self-esteem [3; 4], team identification [5; 6] and the willingness to contribute specific knowledge during the team process is researched. In the end, a structural equation model (SEM) shows the correlation of the mentioned constructs. The SEM shows that the used constructs influence the willingness to bring in one’s specific knowledge into the team process. Team Identification shows the most decisive influence on Knowledge Exchange and from Knowledge Exchange to SMM. This study focuses on knowledge management in the light of creativity and innovation, elaborating that knowledge sharing is essential for the team’s success in finding an innovative solution through creative solution processes and that the characteristics of SMM affect teamwork, team creativity, and team processes. Consequently, an appropriate interaction within the team is needed to promote knowledge-sharing and creative processes and foster the rise of collective self-esteem at the individual level and team identification.
Electric Vehicle Charging Stations in Hawaii

This study looks at electric vehicle charging stations in Hawaii. It is a practical application using existing theories and available information about Hawaii to determine the need for public charging stations. The perspective taken is that of capacity and the use of that capacity. It is determined that 679 public charging ports are required to meet the demand. This is lower than the currently 781 available electric vehicle chargers. This translates into each port serving 21 electric vehicles.
Business Patterns and Reverse Innovation Cycles in the Sharing Economy

In this paper, we analyze the evolution of business patterns of about 1,050 organizations associating themselves with the Sharing Economy from the beginning of the Internet from 1993 onwards. Interestingly, there have been two similar phases of development, one before Web 2.0 between 1993 and 2005 and one from 2005 until today. In both phases, the patterns first focus on access, followed by the selling of products and accompanying services, and finally, enable renting of products. Although the Sharing Economy is no industry itself, we question whether a dominant design develops over time in sectors the Sharing Economy entered and how new services developed according to the reverse innovation cycle. The investigation contributes to the understanding and management of sector-related digital business models, the service innovation process, and Sharing Economy-related business patterns.
Autonomous Mobile Navigation Robots in unknown environments using the HQ stereo cameras and the RPLIDAR sensors to increase the recognition accuracy

An Autonomous Mobile Navigation Robot in unknown environments using the HQ stereo cameras and the RPLIDAR sensors to increase recognition accuracy is presented. The paper focuses on the identification and recognition of objects and obstacles in unknown environments starting from the data coming from the duality of the Raspberry Pi HQ type stereo cameras with Sony IMX477 sensor and the RPLIDAR A3 laser sensor. Applying the duality, technological and informational at the level of perception, based on advanced techniques, the results led to improved performance of the autonomous mobile navigation robot (AMNR). The experimental tests in the present research show improved object recognition, evidenced by the distance approximation, accuracy increase and the distance measurement error to obstacles decreased.
Adaptations to Leveled-DEA: A Technique for Non-homogeneous DMU Comparison

Leveled-Data Envelopment Analysis (L-DEA) is an adaptation of traditional Data Envelopment Analysis (DEA) in that it affords a limited comparison of heterogeneous Decision-Making Units (DMUs). In other words, while traditional DEA is intended for comparison and benchmarking of homogeneous DMUs (e.g. comparing hospitals only against other hospitals), LDEA allows for a rather narrow-in-scope comparison of DMUs across industries (hospitals against banks). In theory, L-DEA affords technology managers the ability to build external context against which to evaluate internal efficiencies. The L-DEA method as originally proposed was computed using a parametric method that was computationally slow. This paper provides an applied computational alternative that remains true to mathematics undergirding L-DEA whilst speeding up its computation considerably. In addition, and importantly, L-DEA’s ability to remain functional with adaptations and perform against another dataset are both evaluated, in order to explore its capacity for further use.
Program and Project Management of Publicly Funded Research and Development: A Structural Viewpoint

To accelerate innovation, forming consortia for collaborative research and development (R&D) is encouraged. Therefore, the government has funded some programs for large-scale R&D projects. The present study investigates the program and project structures to promote collaborative R&D across multiple disciplines and sectors. As a case for empirical study, the Funding Program for World-Leading Innovative R&D on Science and Technology (FIRST) in Japan was selected. A series of analyses at the program level (n=30 projects) show that factors that promote academic outcomes (e.g., scientific publications) and facilitate activities toward industrialization (e.g., creating intellectual property) are separated. Moreover, the results suggest that the number of researchers explains the number of publications, whereas the number of patent applications does not justify the number of registrations. An analysis at the project level (i.e., one of the projects subsidized by the FIRST Program) was performed as a case study. The results of the case study imply that a strong relationship between actors accelerates the R&D cycle by sharing common knowledge, while a weak relationship ensures trans-disciplinarity or sectoral diversity by transferring domain-specific knowledge. Further, these results indicate that different mechanisms could exist at the program and project levels.
Influence of dietary ingredients on pork fat quality

Five-hundred and four barrows and gilts were used in four experiments to determine the influence of dietary ingredients on fat quality. Experiment 1 evaluated feeding duration of choice white grease (CWG) and soybean oil. Increasing feeding duration of pigs fed CWG or soybean oil increased (quadratic, P < 0.01) iodine value (IV) in jowl fat and backfat. Pigs fed soybean oil had increased (P < 0.01) IV in jowl and backfat compared with pigs fed CWG. In Exp. 2 dried distillers grains with solubles (DDGS), extruded expelled soybean meal (EESM), and CWG were used to evaluate diets with common iodine value product (IVP) from ingredients varying in unsaturated fat level and concentration. Pigs fed either diet with DDGS had increased (P = 0.02) backfat and jowl fat IV, compared with all other treatments. Pigs fed EESM had increased (P = 0.04) backfat and jowl fat IV compared with the control, low CWG, and high CWG. Pigs fed low CWG and high CWG had increased (P = 0.04) jowl fat IV compared to the control. Increasing dietary fat increased carcass fat IV, with unsaturated fats from DDGS and EESM having a greater affect than more saturated fats, such as CWG, even when formulated to the same IVP. Experiment 3 evaluated the effects of increasing CWG in cornand sorghum-based diets on fat quality. There was a grain source × fat level interaction (P = 0.04) for IV in both backfat and jowl fat. Adding CWG increased IV in backfat and jowl fat for pigs fed cornand sorghum-based diets; however, the greatest increase was between 0 and 2.5% CWG in sorghumbased diets and between 2.5 and 5% CWG in corn-based diets. Despite this interaction, pigs fed corn-based diets had increased (P < 0.01) backfat and jowl fat IV compared with pigs fed sorghum-based diets. Increasing CWG increased (linear, P < 0.01) IV in backfat and jowl fat. Experiment 4 examined the effects of DDGS on fat quality. Backfat, jowl fat, and belly fat IV increased (linear, P = 0.02) with increasing DDGS in both the pigs marketed on d 57 and 78.
75 Years of RF Design: Highlights and Paradigm Shifts

Radio-frequency (RF) circuits came into existence decades before the invention of the transistor. The First World War motivated great advances in wireless communications and radar design—all based on vacuum tubes. Then came the notion of public radio and television, driving RF circuits into the consumer market. By the mid-1940s, when the bipolar transistor was conceived at Bell Laboratories, vacuum-tube RF design had become fairly mature [1]. Of course, the products drew high power and failed frequently. Based on electron transport in a vacuum, these components could operate as only “n-type” devices, a stark contrast to what bipolar and MOS technologies would offer decades later.
to Counsel : Psychological Science Can Improve the Promise of Civil Rights Enforcement

Employment discrimination claimants in general, and racial minority claimants in particular, disproportionately lack access to legal counsel. When employment discrimination claimants lack counsel, they typically abandon their claims, or if they pursue their claims, they do so pro se (without counsel), a strategy that is seldom successful in court. Access to counsel is, hence, a decisive component in whether employment discrimination victims realize the potential of civil rights enforcement. Psychological science analyzes access to counsel by identifying psychological barriers—such as threatened social identity, mistrust in legal authorities, and fear of repercussions—that prevent employment discrimination victims from pursuing counsel. The analysis also identifies how cultural beliefs and practices concerning justice—such as meritocracy beliefs, perceived post-racialism, and organizational diversity initiatives—shape how judges, jurors, and lay people think about discrimination. Furthermore, counsels’ perceptions of other’s beliefs about discrimination shape their assessed likelihood of prevailing. These psychological barriers intersect with structural barriers to shape counsels’ evaluation of each case’s likely financial viability, which can prevent counsel from accepting cases that they otherwise deem meritorious. Policy can help those who experience employment discrimination obtain legal representation and meaningful redress for civil rights violations.
ASSESSMENT OF INCIDENCE OF DEEP VEIN THROMBOSIS IN PATIENTS WITH MALIGNANCY UNDERGOING SURGERY

Background: Venous thromboembolism (VTE), comprising DVT and PE, significantly impacts patient morbidity, mortality, and hospital costs. Malignancy increases the risk of DVT and PE, with cancer patients on chemotherapy having a 6.5-fold higher risk. VTE is the second leading cause of mortality in cancer patients. Despite thromboprophylaxis, cancer patients undergoing surgery have a higher risk of postoperative VTE. Aim: The study aims to study the incidence of newly developing DVT in postoperative cancer patients. Materials and Methods: This prospective observational study included cancer
UvA-DARE (Digital Academic Repository) A model of prenatal acquisition of vowels

Humans learn much about their language while still in the womb. Prenatal exposure has been repeatedly shown to affect newborn infants’ processing of the prosodic characteristics of native language speech. Little is known about whether and how prenatal exposure affects infants’ perception of speech sound segments. Here we simulated prenatal learning of vowels in two virtual fetuses whose mothers spoke (slightly) different languages. The learners were two-layer neural networks and were each exposed to vowel tokens sampled from an existent five-vowel language (Spanish and Czech, respectively). The input acoustic properties approximated the speech signal that could possibly be heard in the intrauterine environment, and the learners’ auditory system was relatively immature. Without supervision, the virtual fetuses came to warp the continuous acoustic signal into “proto-categories” that were specific to their linguistic environment. Both learners came to create two categorization patterns and did so in language-specific ways, primarily on the basis of the vowels’ first-formant characteristics. Such prenatally formed proto-categories were not adult-like in that they entirely collapsed some of the native-language contrasts. At the same time, the categories reflected features of the adult language in that they were language-specific. These results can inspire future work on speech and language acquisition in real young humans.
Panel on Neurological Imaging and

The ACR Committee on Appropriateness Criteria and its expert panels have developed criteria for determining appropriate imaging examinations for diagnosis and treatment of specified medical condition(s). These criteria are intended to guide radiologists, radiation oncologists and referring physicians in making decisions regarding radiologic imaging and treatment. Generally, the complexity and severity of a patient’s clinical condition should dictate the selection of appropriate imaging procedures or treatments. Only those examinations generally used for evaluation of the patient’s condition are ranked. Other imaging studies necessary to evaluate other co-existent diseases or other medical consequences of this condition are not considered in this document. The availability of equipment or personnel may influence the selection of appropriate imaging procedures or treatments. Imaging techniques classified as investigational by the FDA have not been considered in developing these criteria; however, study of new equipment and applications should be encouraged. The ultimate decision regarding the appropriateness of any specific radiologic examination or treatment must be made by the referring physician and radiologist in light of all the circumstances presented in an individual examination.
TO EVALUATE THE OUTCOME OF AMNIOTIC MEMBRANE GRAFTING IN RECURRENT AND DOUBLE HEADED PTERYGIUM

Background: A pterygium is a fibrovascular wing shaped encroachment of conjunctiva onto cornea. Pterygium excision with Conjunctival autografting has gained worldwide acceptance as the most favourable technique as it has proven to be both safe and effective in reducing pterygium recurrence. The aim is to evaluate the outcome of amniotic membrane grafting in recurrent and double headed pterygium. Materials and Methods: This was a Prospective interventional study done in study group included 25 eyes of 24 patients with unilateral recurrent pterygium and primary and recurrent double headed pterygium. Amniotic membrane grafting was done in all patients after pterygium excision. The pre-operative and post-operative un-corrected and best-corrected visual acuity visual acuity, grading of pterygium were done. The patients were examined during follow up for any recurrence and post-operative complications. Result: On comparing Pre-operative and Post– operative best Corrected Visual Acuity, the Post–operative Best Corrected Visual Acuity was significantly better p-value =0 . 032522. The overall recurrence rate was 24% (6 eyes). The mean time to recurrence was 3.8 +/- 1.3 months. Pterygia with vascularity had a significantly higher recurrence rate. Recurrence rates in males was significantly higher than females. No major sight threatening complications like microbial keratitis, sclera or corneal melt were seen. Conclusion: Our study demonstrates that amniotic membrane grafting might be used as an alternative in cases where conjunctival autograft is not possible.
Application of limit theorem to sum of Legendre symbols

In this work, we make an extension of earlier results provided by Kubilus and Linnik who modelled specific class of Brownian motions using the sums [1], where p is the sequence of odd square free numbers. Our results are relevant and can be used in a range of applications, especially when applying Monte-Carlo methods in finance and econometrics.
CLINICAL STUDY OF MILIARIA

Background: Miliaria is a skin condition which occurs due to blockage of the eccrine sweat ducts due to excessive sweating predisposed by hot and humid conditions. In the year, 2016, an outbreak of the same was noticed in due to a heatwave which was recorded in India. To determine the etiological factors and various clinical presentations of miliaria in a setting of a heat wave generated outbreak. Materials and Methods: All patients with clinical features suggestive of miliaria, visiting the outpatient department of this tertiary care hospital over a period of 4 months between March 2016 to June 2016 were included in the study. Patients with pustular lesions were subject to relevant investigations i.e., Gram stain and Culture and Sensitivity. Result: Majority 50/86 case(58.1%) were comprised of miliaria rubra while only 6/86 (6.9%) were miliaria crystallina. 30/86 cases were complicated by periporitis of which 13 cases (43.3%) were culture positive. Methicillin Sensitive Staphylococcal aureus (MSSA) was the most common isolate accounting for 53.8%. 62(72.1%) were less than 10 years and a male preponderance was observed. Conclusion: The study gives an indication of the various clinical types and the possible predisposing factors for the occurrence of miliaria that were
Coronavirus Classification using Deep Convolutional Neural Network , Models . and Chest , X-ray images

— The COVID-2019 virus, which was discovered for the first time in December 2019 in the city of Wuhan, China, went on to become a pandemic after rapidly spreading around the globe. As there are currently no reliable automated toolkits on the market, there has been an increase in the demand for supplementary diagnostic tools for COVID19 patients. It may be possible to improve the accuracy of the diagnosis of covid19 disease by making use of more recent developments in artificial intelligence (AI) approaches and radiological imaging. In this research, three different convolution neural networks were applied to raw chest x-rays before the histogram filter was used for the basic pre-processing. The goal was to automatically detect COVID-19. The results that we obtained using the three suggested models indicate that the ResNet50 model provides the greatest classification performance with 96% accuracy , while the InceptionV3 model only achieves 95% accuracy, and the Inception-ResNetV2 model only achieves 82% accuracy
UNCONVENTIONAL Oil and Gas Development and Agricultural Land-use in the U.S. 1

2 Using county-level data from 1997 to 2018, we examine the effect of unconventional oil 3 and gas (UOG) industry growth on agricultural acreage in the U.S. We find that on average, each 4 active UOG well reduces crop acreage by 3.3 acres in counties with UOG production. However, 5 the impacts vary by region. The relationship is positive in Southwest, U-shaped in Great Plains, 6 and negative in Appalachia. The difference in crop acreage change after 2008 between counties 7 with and without UOG is significant in the contiguous U.S. and Great Plains. The reduction in 8 crop acreage after 2008 was highest in Great Plains. 9
CYTOMORPHOLOGICAL SPECTRUM OF LYMPH NODE LESIONS BY FINE NEEDLE ASPIRATION CYTOLOGY-A RETROSPECTIVE STUDY IN A TERTIARY CARE CENTRE

Background: Lymph nodes are small organs that serve as immune checkpoints in our body. They often get enlarged due to various causes. Enlarged nodes can present with a spectrum of symptoms related to the cause, which can be an underlying malignancy at times. Fine Needle Aspiration Cytology (FNAC) is a common and rapid out-patient procedure that can be used to diagnose the aetiology of lymphadenopathy. It can avoid unnecessary medical interventions in infectious or inflammatory conditions. Histopathological examination of the lymph node biopsy is the gold standard method for diagnosing causes of lymphadenopathy but is painful, invasive and in-patient procedure. The objectives of the present study were to describe the various diagnoses observed in Fine Needle Aspiration Cytology of lymphadenopathy and to determine the validity of Fine Needle Aspiration Cytology with respect to histopathology in diagnosing lymphadenopathy. Materials and Methods: This is a retrospective study done at the Department of Pathology, MIMS, Mandya during March 2022 to May 2022. The study period was January 2020 to September 2022. The records of patients presenting with lymphadenopathy for FNAC to the Department were retrieved and analysed. The records of patients who underwent histopathological examination of lymph node biopsy were also retrieved and analysed. The details such as age, gender and site were collected from the registers maintained at the department. The slides were re-analysed. Results: A total of 33 cases of FNAC with histopathological correlation were available. Eighteen cases (54.5%) were benign and 15(45.45%) were malignant on FNAC. Discordance was seen in 6 cases. The sensitivity of FNAC in diagnosing malignancy was 92.85%, specificity 95%, positive predictive value 92.85% and accuracy 94.11%. Conclusion: FNAC is helpful preoperatively as it differentiates between benign and malignant lesions in most cases. However, specific diagnosis may not always be possible. Biopsy is the gold standard but FNAC has high specificity in diagnosing malignant tumors and prevents unnecessary extensive, radical surgery for benign lesions where treatment with antibiotics and anti-inflammatory drugs or simple excision would suffice.
The epidemiology of avian influenza in the Mekong River Delta of Viet Nam : a dissertation presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy at Massey University

Infectious animal diseases including highly pathogenic avian influenza caused by H5N1 virus, foot-and-mouth disease, porcine reproductive and respiratory syndrome and classical swine fever regularly occur in Viet Nam. A goal of the Vietnamese Department of Animal Health is to control these diseases and, ultimately, to eradicate them. To this it is essential that animal health authorities have up to date information on animal populations at risk and incident cases of disease. This paper describes the components and design features of an animal health decision support system for use in Viet Nam. The objectives of the system are to: (1) enhance data management by improving mechanisms for data collection, validation and storage; and (2) provide tools for epidemiological analyses and surveillance design. A feature of our design is that it is web-enabled allowing authorised users, no matter where they are located throughout the country, to query and report on data entered into the system. A second feature is the inclusion of a powerful and flexible reporting tool that will provide users with the capability of developing reports to deal with virtually any animal health issue. Continued use of this system will allow the Vietnamese Department of Animal Health to identify and respond to existing and emerging threats to animal health in a timely and cost-effective manner. Long, N.V. , Stevenson, M. , OLeary, B. , Sujau, M. and Morris, R. (2013) The design of a decision support system for animal health management in Viet Nam. 20 A decision support system for animal health management in Viet Nam 3.