Miracle-dz/UniFAR-FTUs huggingface dataset:
Literature Reviews of RBV and KBV Theories Reimagined - A Technological Approach Using Text Analysis and Power BI Visualization

Over the years, the Resource-Based View (RBV) and Knowledge-Based View (KBV) have solidified their roles as pivotal paradigms in strategic management literature. With an emphasis on Small and Medium Enterprises (SMEs), this study uses text analysis and Microsoft Power BI to explore these concepts innovatively. The study implements a systematic literature review, extracting data from Scopus, Web of Science, and DOAJ databases to assemble a comprehensive literature corpus. The methodology incorporates text analysis to draw out key themes, relationships, and trends, and these are subsequently visualized using Power BI to create an engaging, interactive representation of data. Components like word clouds, co-occurrence networks, and trend lines are generated, while Power BI's dynamic filtering and drill-down functionalities facilitate thorough data investigation. The results display significant overlap between RBV and KBV, denoting possible integration junctures for these theories within the domain of strategic management. Additionally, the study underscores the relevance of these insights for SMEs, emphasizing the part played by unique resources, encompassing knowledge assets, in catalyzing innovation and fostering a competitive edge. The study concludes by recognizing the significant theoretical and practical implications of integrating text analysis and Power BI in conducting literature reviews. This methodology bolsters our understanding of RBV and KBV, offering small and medium-sized enterprises a beneficial instrument to traverse these intricate theories. The study suggests that future research could broaden the application of this methodological approach to encompass other strategic management theories.
Co-combustion of low rank fuels in power plants

C [wt. %] 75.17 35.85 40.28 83.70 66.03 O [wt. %] 8.68 38.39 32.12 9.83 12.38 H [wt. %] 5.48 5.04 5.83 4.02 9.15 N [wt. %] 1.89 0.17 2.53 0.19 0.19 S [wt. %] 1.04 0.04 0.15 0.03 0.10 Cl [wt. %] 0.08 0.10 n.d. 0.03 0.41 H2O [wt. %] 2.90 8.30 8.70 1.33 4.30 Ash [wt. %] 4.76 12.10 10.38 0.90 7.44 Sum [wt. %] 100.00 100.00 100.00 100.00 100.00 Cfix [wt. %] 59.14 12.03 16.30 73.65 5.00 Volatiles [wt. %] 33.2 67.6 64.6 24.1 83.3 NCV [MJ/kg] 29 13 15 30 30
Role of polymorphism in vitamin D receptor gene on diabetic foot ulcer: A systematic review and meta-analysis

Context: Once vitamin D is converted to its active form, the molecule binds to its receptor (VDR) and performs its function as a transcription factor in modulating immune response, inflammation cascade, and insulin signaling. Among diabetic individuals, these activities are thought to be correlated with foot ulceration. Gene polymorphisms could change the function of VDR, thereby affecting the development of foot ulceration among individuals with diabetes. Aims: To construct evidence on the role of VDR gene variants or single nucleotide polymorphisms (SNPs) on diabetic foot ulcers. Methods: Records reporting the distribution of genotypes and/or alleles among diabetic foot ulcer (DFU) patients and published until 10 March 2023 were retrieved from 12 major databases using predetermined keywords. The original research articles included in the study were assessed for reporting quality using the Newcastle Ottawa Scale. The quality of genotypic and allelic data was appraised by Hardy-Weinberg equilibrium (HWE). A quantitative analysis-based fixed-effects model was performed to estimate the proportion of genotype and allele frequencies among DFU patients. Results: Three studies were included in the systematic review reporting the FokI (rs2228570), TaqI (rs731236), BsmI (rs1544410), and ApaI (rs7975232) SNPs. Based on pooled estimates, among DFU patients CC, CT, and TT genotypes of VDR FokI SNPs had a prevalence of 45%, 43%, and 12%, respectively, without significant heterogeneity found in the reported data (p-Het<0.001; I2>0%). ApaI and FokI were associated with DFU, while no association in all genotypic and allelic models was found between TaqI or BsmI and DFU. CC genotype of BsmI and T allele of FokI was associated with oxidative stress (one of the underlying factors in DFU). Conclusions: Certain genotypes and alleles of FokI and ApaI SNPs could act as the risk factor for foot ulceration among diabetic individuals. More high-quality studies are still needed to draw solid conclusions on the role of VDR SNPs among DFU patients.
Human Capital Disclosure: A Review Article

This article aims to provide deep insight towards the basic understanding of intellectual capital disclosure specifically from the perspective of human capital disclosure. This study reviews the article and primarily focuses on a systematic review of past studies on human capital disclosure. There is a perception among potential investors that intellectual capital information shared by corporate companies is diverse in characteristics. In many developing economies, the government heavily influences corporate culture companies to abide by accounting and corporate practices in the modern world. However, from the investor perspective, the intellectual capital information tends to be net investee; therefore, their emphasis is mostly on corporate information supply. This article summarizes corporate information disclosure and provides the connection between the social, corporate and accounting practices in developing economies.
Biodiversity, Community Dynamics, and Novel Foraging Behaviors of a Rich Native Bee Fauna Across Habitats at Pinnacles National Park, California

Native bees (Hymenoptera: Apoidea) are diverse and effective pollinators, responsible for the majority of plant pollination in natural and degraded ecosystems. Despite this critical role, little is known about patterns in native bee biodiversity, community dynamics, and expected variation between habitat types, particularly in the absence of human disturbance. Such knowledge could help detect population trends and guide conservation in natural and altered landscapes. We surveyed the bee and plant communities over two flowering seasons across four distinct habitat types (Alluvial, Live Oak Woodland, Blue Oak Woodland, and Grassland) at Pinnacles National Park, a protected hotspot of native bee diversity, to 1) update the inventory of park bee biodiversity; 2) identify patterns in bee abundance, richness and community composition; and 3) evaluate whether habitat type is an indicator of native bee dynamics. We collected 52,853 bee specimens, and increased the Pinnacles species inventory from 398 to 479. While habitat type was not related to bee abundance, richness, or even floral richness over a season, species composition varied significantly among habitat types. In alluvial habitat, bee species composition was more unique, tightly defined, and related to distance between sites than in other habitat types, suggesting these areas may serve as nesting refugia, particularly for some oligolectic species. Further examination of these patterns may clarify the value of protecting alluvial habitats at Pinnacles and beyond.
Control of slab width on subduction‐induced upper mantle flow and associated upwellings: Insights from analog models

The impact of slab width W (i.e., trench‐parallel extent) on subduction‐induced upper mantle flow remains uncertain. We present a series of free subduction analog models where W was systematically varied to upscaled values of 250–3600 km to investigate its effect on subducting plate kinematics and upper mantle return flow around the lateral slab edges. We particularly focused on the upwelling component of mantle flow, which might promote decompression melting and could thereby produce intraplate volcanism. The models show that W has a strong control on trench curvature and on the trench retreat, subducting plate, and subduction velocities, generally in good agreement with previous modeling studies. Upper mantle flow velocity maps produced by means of a stereoscopic particle image velocimetry technique indicate that the magnitude of the subduction‐induced mantle flow around the lateral slab edges correlates positively with the product of W and trench retreat velocity. For all models an important upwelling component is always produced close to the lateral slab edges, with higher magnitudes for wider slabs. The trench‐parallel lateral extent of this upwelling component is the same irrespective of W, but its maximum magnitude gets located closer to the subducting plate in the trench‐normal direction and it is more focused when W increases. For W ≤ 2000 km the upwelling occurs laterally (in the trench‐parallel direction) next to the subslab domain and the mantle wedge domain, while for W ≥ 2000 km it is located only next to the subslab domain and focuses closer to the trench tip, because of stronger poloidal flow in the mantle wedge extending laterally.
Strategic Management of Academic Human Resources: A Comparative Analysis of Flagship Universities in Norway, Finland, Switzerland, and Austria

This chapter investigates whether and how institutional autonomy enhances strategic management of academic human resources. National regulatory frameworks, available resources, university policies, and practices at the working floor are compared in four European flagship universities. Disciplinary affiliation is taken into consideration through the selection of history and chemistry. The cases reflect different trajectories where substantial changes have been implemented in governance systems when it comes to centralization of decision making, to standardization of procedures, to re-configuration of actors and their room to maneuver. While professorial self-governance in personnel matters remains significant, new boundary conditions constrain substantially choice options in accordance with national, institutional, and disciplinary features. Uncertainty, identity, and flexibility emerge as major dimensions in human resources management, pointing to tensions but also to opportunities for strategic change.
A Model-aided Optical Flow/Inertial Sensor Fusion Method for a Quadrotor

In this paper, a fault-tolerant velocity estimation method is proposed for quadrotors in a GPS denied environment. A novel filter is developed in light of the quadrotor model and measurements from optical flow and inertial sensors. The proposed filter is capable of detecting and isolating the optical flow sensor faults, by which the velocity estimation accuracy and stability will be improved. It is also demonstrated that the wind velocity is observable in the proposed filter. Therefore, the new filter can also be implemented in a windy environment, which is a significant improvement to the previous model-aided inertial sensor estimator. At the end, some simulations are carried out to verify the advantages of our method.
Physiological Insights into Elite Sprint Paddlers: Unravelling Performance Dynamics and Training Implications

Study purpose. This study aimed to investigate the relationship between physiological reactivity and sprint paddling performance among elite athletes, focusing on cardiorespiratory responses, metabolic efficiency, and energy utilization patterns. Materials and methods. A group of N= 20 elite sprint paddlers from various regions in India was meticulously selected for this study. Detailed assessments of cardiorespiratory responses, metabolic efficiency, and energy utilization patterns were conducted using standardized protocols and cutting-edge measurement techniques. Individual differences among athletes were carefully documented. Results. The study revealed a remarkable homogeneity among the athletes, reflecting stringent training standards. However, intriguing individual differences emerged, particularly in cardiorespiratory reactivity. Athletes with swift neural responses and adept metabolic acidosis adaptation showcased enhanced overall performance, indicating the critical role of the nervous system and efficient respiratory mechanisms in optimizing paddlers’ capabilities. Analysis of CO2 emissions and lactate concentrations indicated a balanced energy utilization pattern and optimal anaerobic metabolism and respiratory responses. Balancing anaerobic alactate and lactate capacities emerged as pivotal. Conclusions. The findings underscore the need for targeted training programs that leverage individual differences, enhance neural adaptations, and metabolic acidosis tolerance, and optimize energy pathways. These transformative insights offer coaches, sports scientists, and athletes valuable tools to elevate performance outcomes. The study enriches our understanding of sprint paddling and serves as a paradigm for studying elite athletic performance, guiding the future of sports science and coaching. Future research avenues include exploring the long-term impact of tailored training interventions, investigating molecular mechanisms of cardiorespiratory reactivity, and studying psychological aspects of athletic performance. Comparative studies across diverse sports disciplines promise universal insights into elite athletic performance.
Hybrid Deep Learning Approach For Stress Detection Model Through Speech Signal

Stress is a psychological condition that requires proper treatment due to its potential long-term effects on health and cognitive faculties. This is particularly pertinent when considering pre- and early-school-age children, where stress can yield a range of adverse effects. Furthermore, detection in children requires a particular approach different from adults because of their physical and cognitive limitations. Traditional approaches, such as psychological assessments or the measurement of biosignal parameters prove ineffective in this context. Speech is also one of the approaches used to detect stress without causing discomfort to the subject and does not require prerequisites for a certain level of cognitive ability. Therefore, this study introduced a hybrid deep learning approach using supervised and unsupervised learning in a stress detection model. The model predicted the stress state of the subject and provided positional data point analysis in the form of a cluster map to obtain information on the degree using CNN and GSOM algorithms. The results showed an average accuracy and F1 score of 94.7% and 95%, using the children's voice dataset. To compare with the state-of-the-art, model were tested with the open-source DAIC Woz dataset and obtained average accuracy and F1 scores of 89% and 88%. The cluster map generated by GSOM further underscored the discerning capability in identifying stress and quantifying the degree experienced by the subjects, based on their speech patterns
Paleoambiente e paleoetnologia de populaÇôes sambaquieiras do sudeste do Estado do Rio de Janeiro

Charcoal analysis of seven sambaquis from the southeastern Brazilian coast allowed palaeoenvironment reconstruction as well as various palaeoethnological considerations on wood use and on the fishers-gatherers-hunters' diet. Restinga, dry forest, mangrove and Atlantic Forest ecosystems were present. Environmental stability has certainly been a main factor in the maintenance of the fishers-gatherers-hunters sociocultural system.
Does a monsoon circulation exist in the upper troposphere over the central and eastern tropical Pacific?

Abstract Considering the central and eastern tropical Pacific (CETP) has important climate impacts, and its seasonal variability is also thought to be important, the authors used the monsoon investigation method named ‘dynamical normalized seasonality’, which can precisely describe the wind vector direction over time, to analyze the upper-tropospheric circulation over the region. The authors discovered that there is a clear reversal of seasonal changes between winter and summer wind, just like the classic monsoon. Accordingly, the authors propose the new concept of the upper-troposphere monsoon over the CETP. The results extend the classical lower-troposphere monsoon region into the upper troposphere.
Digital Image Forgery Detection using SIFTFeature

Availability of new software’s nowadays, one can create unauthentic images quite often. Mostly used media to create unauthentic images for public sizing false reports. Also, in crime one can make changes in an image using various attacks such as copy-move attack, tampered and composite. For solving these problems of image forgery various detection methods are to be used and then compared, in order to specify which method is more beneficial to be used in a particular type of attack. To detect such modifications, a novel methodology based on SIFT: Scale Invariant Feature Transform is proposed with feature extraction which is invariant to translation, scale, noise and rotation. It comprises transformation of the input image to produce a standard results and then detection of keypoint and feature descriptor is applied along with a matching over all the keypoints. It comprises of the input image to produce standard representation and detection of duplicate image.
Erosional and deformational structures in single sedimentary beds: a genetic commentary Grawitacyjnie redeponowane osady glacilimniczne rowu Kleszczowa (pleistocencentralna Polska)

Rozwazania nad pochodzeniem struktur erozyjnych i deformacyjnych w lawicach osadowych Erosional and deformational structures from various sedimentary environments are discussed and natural examples are confronted with their experimental analogues. Particular attention is paid to deformation structures following convective pattern of motion. From experimental investigations and field studies it is concluded that many structures, which in current classifications are separated, may result from analogous or similar formative processes.
ISOLATION, MOLECULAR IDENTIFICATION AND ANTIBIOTIC SENSITIVITY OF SALMONELLA FROM BUFFALO FECES IN SYLHET DISTRICT OF BANGLADESH

Salmonella is a widely distributed foodborne pathogen affecting humans and animals around the globe. This cross-sectional bacteriological study was aimed at isolation of Salmonella from fecal samples of buffalos in Sylhet district (Upazilas Jaintapur and Fenchuganj) of Bangladesh, their molecular confirmation, and learning their antibiotic sensitivity patterns. A total of 334 fecal samples were collected using a simple random sampling technique. Standard conventional bacteriological culture and biochemical tests were done to isolate and confirm Salmonella. The isolates were confirmed with polymerase chain reaction (PCR). In this study, Salmonella was isolated from 56 samples (16.77%) using bacteriological culture methods and biochemical tests, and all isolates were confirmed in PCR tests. The prevalence of Salmonella was estimated to be 17.57% and 13.93% in Jaintapur and Fenchuganj Upazilas, respectively. Buffalo calves under one year of age had a higher prevalence (24.32%) than older animals aged 1 - 2 (18.62%), 2 - 4 (13.25%), and > 4 years (10.67%). Furthermore, the prevalence was substantially higher in diarrheic animals (72.22%) than in their healthy counterparts (13.60%). It did not vary significantly (p > 0.05) between animals from Jaintapur and Fenchuganj Upazilas. Likewise, no significant difference (p > 0.05) in Salmonella isolates was detected between different age groups. The results revealed that the isolation rate of Salmonella was significantly (p < 0.05) higher in female and diarrheic animals. The most effective antibiotics against the majority of Salmonella isolates were gentamycin (100%), levofloxacin (100%), and ciprofloxacin (76.67%). On the other hand, Salmonella isolates were highly resistant to tetracycline (100%), ampicillin (87.5%), and streptomycin (78.6%). Pathogenic microorganisms in feces are a potential risk to public health due to environmental and animal food contamination. Therefore, infection control and establishing strategic antibiotic therapy should be a priority.
2009). A continuation method for computing global isochrons. http://hdl.handle.net

Isochrons are foliations of phase space that extend the notion of phase of a stable periodic orbit to the basin of attraction of this periodic orbit. Each point in the basin of attraction lies on only one isochron and two points on the same isochron converge to the periodic orbit with the same phase. These properties allow one to deﬁne so-called phase models that reduce the dimension of an oscillating system. Global isochrons, that is, isochrons extended into the full basin of attraction rather than just a neighborhood of the periodic orbit, can typically only be approximated numerically. Unfortunately, their computation is rather diﬃcult, particularly for systems with multiple time scales. We present a novel method for computing isochrons via the continuation of a two-point boundary value problem. We view the isochron associated with a particular phase point γ on the periodic orbit as the Poincar´e section of the time-T return map that has γ as its ﬁxed point; here, the time T is the period of the periodic orbit. The boundary value problem set-up uses the orbit segment that deﬁnes the periodic orbit starting at γ as the ﬁrst known solution on the isochron; other solutions are found by continuation along the linear approximation of the isochron in a prespeciﬁed small neighborhood of the periodic orbit. This means that the computational error is fully controlled by the accuracy settings of the boundary value solver and the maximal distance along the linear approximation. This method can easily be implemented for two-dimensional systems, and we are able to compute global isochrons of planar slow-fast systems in unprecedented detail. We show how complicated the structure of isochrons can be already for such low-dimensional systems and discuss how the isochrons determine the phase sensitivity of the system.
Covid-19, Government Initiatives, And Stock Market Liquidity: A Post-Pandemic Study From Emerging Economy- Pakistan

This is post COVID-19 study which focuses on two proxies of COVID-19 and its impact on Pakistan and government initiatives' stock market liquidity and the human cost by exploring the rate of spread of COVID-19 infections. Using time-series data of the Pakistan Stock Exchange from January 2, 2020 to December 03, 2021which covers all the three waves of COVID-19 and finding suggests that an increasing (decreasing) trend in the COVID-19 confirmed cases is connected with improving (deteriorating) liquidity of Pakistan's stock market. This study concludes that policy interventions are related to stock market liquidity. Results reveal that government initiatives' control over the COVID-19 cases reduces the uncertainty among the market and investors and help policy makers for making effective policies if such kinds of uncertain diseases come again