Miracle-dz/UniFAR-FTUs huggingface dataset:
Investigating social media-based brand communities engagement’s motives and evangelistic tendencies for football sport’s fans

This study aims to investigate variables that motive brand community engagement. Moreover, explore the mediating role of brand evangelism between brand community engagement and brand defense. The data was collected using quantitative research through an online questionnaire-based survey from 217 active members of certain social media brand communities (SMBCs) which are Facebook and Whatsapp. I chose them because they provide similar functionality. The data was analyzed by using regression analysis. Facebook; for example, adopting instant messaging (IM) features similar to those found in Whatsapp however, the two tools of social media provide different social practices, resulting in different user experiences with the same functionality. Thus, the current research adapted these two tools to add richness to data collection. Respondents are a variety of university students and more than 50 different occupations. The data was analyzed by using multiple regression analysis. The research findings provide a comprehensive analysis of user perceptions and engagement within an entertainment platform across eight dimensions. Users generally hold favorable opinions of the platform, with high ratings for entertainment and information, while self-discovery offers opportunities for improvement. Reliability analysis indicates strong internal consistency among measured items, enhancing data trustworthiness. The correlation matrix underscores significant relationships among dimensions, highlighting their interconnectedness. Kaiser-Meyer-Olkin and Bartlett's Test supports data suitability. Communalities reveal variable significance through PCA. Regression analysis demonstrates the model's effectiveness in explaining engagement variance. Additionally, mediation analysis emphasizes the direct effects of engagement on brand defense, and the indirect one via brand evangelism, contributing to a deeper understanding of user experiences on the platform.
Constraint Programming based Local Search for the Vehicle Routing Problem with Time Windows

El projecte es centra en el "Vehicle Routing Problem with Time Windows". Explora i testeja un metode basat en una formulacio del problema en termes de programacio de restriccions. Implementa un metode de cerca local amb la capacitat de fer grans moviments anomenat "Large Neighbourhood Search".
Resolving views on Antarctic Neogene glacial history – the Sirius debate

ABSTRACT The discovery of marine Pliocene diatoms in warm-based glacial deposits (now termed the Sirius Group) high in the Transantarctic Mountains in the 1980s began a three-decade-long controversy over the stability of the East Antarctic Ice Sheet. Their presence implied that this ice sheet had collapsed as recently as three million years ago to allow their deposition in shallow interior seas, followed by transport and deposition from an expanded over-riding ice sheet. Though the glacial deposits included clasts with older diatoms, no evidence of clasts with Pliocene diatoms was published, but the hypothesis gained wide acceptance. Increasing knowledge of ice sheet behaviour and the antiquity and stability of the Transantarctic Mountains, along with new techniques for dating age and denudation rates for landscapes, has led to a more likely alternative hypothesis – that the high-level Sirius Group deposits pre-date Transantarctic Mountains uplift and their Pliocene diatoms are atmospheric contaminants. Surveys have shown that marine diatoms from the Antarctic margin and the Southern Ocean are indeed reaching the surface of the ice sheet and blowing through the mountains, with permafrost processes providing opportunities for contamination. Modelling and geological evidence is now consistent with a stable East Antarctic Ice Sheet in the interior for the last 14 Ma, with some retreat around the margins and periodic collapse of the West Antarctic ice sheet in Pliocene times.
ESSM: Extended Synaptic Sampling Machine With Stochastic Echo State Neuro-Memristive Circuits

Synaptic stochasticity is an important feature of biological neural networks that is not widely explored in analog memristor networks. Synaptic Sampling Machine (SSM) is one of the recent models of the neural network that explores the importance of the synaptic stochasticity. In this paper, we present a memristive Echo State Network (ESN) with Extended-SSM (ESSM). The circuit-level design of the single synaptic sampling cell that can introduce stochasticity to the neural network is presented. The architecture of synaptic sampling cells is proposed that have the ability to adaptively reprogram the arrays and respond to stimuli of various strengths. The effect of stochasticity is achieved by randomly blocking the input with the probability that follows Bernoulli distribution, and can lead to the reduction of the memory capacity requirements. The blocking signals are randomly generated using Circular Shift Registers (CSRs). The network processing is handled in analog domain and the training is performed offline. The performance of the neural network is analyzed with a view to benchmark for hardware performance without compromising the system performance. The neural system was tested on ECG, MNIST, Fashion MNIST and CIFAR10 dataset for classification problem. The advantage of memristive CSR in comparison with conventional CMOS based CSR is presented. The ESSM-ESN performance is evaluated with the effect of device variations like resistance variations, noise and quantization. The advantage of ESSM-ESN is demonstrated in terms of performance and power requirements in comparison with other neural architectures.
Role of Oxygenation in Moderate COVID-19 Pneumonia with High Flow Nasal Cannula and Standard Non-Rebreathing Mask: A Comparative Study

Background: To evaluate the effectiveness of High Flow Nasal Cannula (HFNC) and standard non rebreathing mask (NRBM) as oxygen delivery device, in moderate cases of COVID-19 Pneumonia. Methods: A single-centre, prospective analysis conducted at KBFGH. Eighty enrolled patients were randomly divided into two groups according to the oxygen delivery device used. Group 1 (n = 40) received HFNC and group 2 (n = 40) received NRBM as initial oxygen delivery device, to maintain a target saturation of e” 96% in both groups. The success rate of oxygen therapy, time to progression to severe disease, PaO2, PaO2/FiO2 ratio, respiratory rate, heart rate, blood pressure, number of patients requiring NIV or endotracheal intubation, time for de-escalation of oxygen therapy to lower Fio2 device and patient satisfaction level were compared among the two groups. Results: Demographic, clinical variables and treatment given were comparable in the two groups. In the HFNC group 83.3% patients had successful outcomes with the initial oxygen therapy device used as compared to 66.6% in the NRBM group. However, the use of HFNC resulted in improved oxygenation (P < 0.001), better patient satisfaction (P < 0.001) and shorter time for de-escalation of oxygen therapy to a lower FIO2 device (3.75 ± 1.032 vs. 6.83 ± 0.928). Conclusions: HFNC is a reliable oxygen therapy modality for moderate category COVID- 19 pneumonia that results in better oxygenation and a greater patient satisfaction level as compared to a non-rebreathing mask. Sir Salimullah Med Coll J 2023; 31: 79-85
Basaltic pahoehoe lava-fed deltas: large-scale characteristics, clast generation, emplacement processes and environmental discrimination

Abstract Basaltic pahoehoe lava-fed deltas are important coastal constructions of many oceanic islands and continental flood basalt provinces. Whilst littoral processes associated with their formation have been described, little is known about subaqueous processes and products. This study is primarily focused on field studies of lava-fed deltas from the James Ross Island Volcanic Group (JRIVG), Antarctica, but also on other published studies of lava-fed deltas, and on information from studies of coarse-grained alluvial deltas. Seven coherent lava facies and eight subaqueously deposited clastic facies from the JRIVG are described and interpreted. Clastic facies are dominated by cobble-sized angular lithic and fluidal lithic-vitric breccias. The fluidal lithic-vitric breccias are derived from various slope failure processes acting on large-volume ponded lavas in the frontal crest area, or from gravity-driven ductile detachment of the margins of active pillow and sheet lavas on the steep subaqueous slope. Angular lithic breccias are generated mostly by similar brittle processes operating on cooled and jointed lavas ponded upslope. Subaqueous emplacement is mostly by density-modified grain flows with associated small buoyant plumes of finer sediment, and by high-density turbidity currents, many of which infill debris chutes. Basaltic lava-fed deltas have large-scale characteristics and processes that are similar to those of Gilbert-type and gravitationally-modified Gilbert-type alluvial deltas. Important contrasts that influence processes and facies in lava-fed deltas include the absence of any effluent force and the presence of hot clasts. Study of lava-fed delta deposits is important for palaeoenvironmental analysis because marine examples record relative sea level changes, and englacial examples provide evidence of minimum ice sheet thicknesses and meltwater levels. Characteristics that may be used to distinguish lava-fed deltas in marine and englacial lake environments are discussed, and littoral zone facies analysis is emphasized. Suggestions for future research include correlation of the physical parameters of subaerial and subaqueous lavas and the nature of cogenetic clastic products, submersible dives on active deltas, detailed facies analysis of individual tangential foreset beds, and comparative studies with steep coarse-grained alluvial deltas.
Halting degradation of natural resources: is there a role for rural communities?

This wide-ranging book, based on a report to the Food and Agriculture Organization of the United Nations, bridges the gap between the enormous amount of empirical literature documenting efforts at managing local-level resources and the quickly growing body of theoretical knowledge dealing with natural resource management. By building a unifying framework, the authors aim to better define the conditions of success or failure of various forms of resource management at the village level. Contrary to a common view according to which mismanagement of such resources is to be ascribed to direct users falling prey to the Tragedy of the Commons', they convincingly argue that there are other important potential explanations, such as lack of awareness about ecological effects of human activities, poverty and heavy discounting of future income streams, uncertainty over future property rights and prices of natural products, and availability of more attractive income opportunities. Moreover, even when mismanagement practices obviously result from strategic interactions among users, many anthropological writings have pointed at crucial aspects that are bypassed by the characterization in terms of the classical Prisoner's Dilemma. Among these aspects, problems of leadership, co-ordination, and heterogeneity are given special emphasis in this book. The theoretical analysis specifies the various economic conditions (such as the extent of resource scarcity and market penetration, the size of user communities, and the nature of different parties' interests in the resource) and social considerations (such as the state of interpersonal communication, the frequency of interactions, the type of leadership, and the extent of mutual trust) under which these problems can possibly be overcome by local user groups. Stress is then laid on the global context within which user groups operate, including the nature and the forms of state intervention and the effects of increasing market integration. To date, this context has generally been uncongenial to community-based resource management; therefore, the authors recommend that, whenever a co-management approach is feasible, the concrete institutional form adopted is tailored to the specific features of local cultures.
METAMORPHIC TESTING FOR GENERATIVE ARTIFICIAL INTELLIGENCE SYSTEMS

Generative artificial intelligence systems should be carefully tested because they can generate low-quality content, but the testing challenges the test oracle problem. Metamor-phic testing helps to test programs without test oracles. In this study, we consider an AI system that generates personalized stickers. Personalized sticker is a thematic picture with a person’s face, some decorative elements and phrases. This system is stochastic, complex and consists of many parts. We formulate requirements for the whole system and check them with metamorphic relations. The requirements focus on dependency on input images quality and resulting quality of generated stickers. Our testing methodology helps us to identify major issues in the system under test.
Subdivision of the Precambrian

Abstract The Precambrian record is so fragmentary and from such widely contrasting terrains that attempts to erect any formal subdivisions would appear to be premature. The methods that have been used in the Phanerozoic rocks cannot be used for subdividing the Precambrian as they are peculiarly suitable for fossiliferous largely undeformed sedimentary units in which the sedimentary record is relatively full. Isotopic dating methods also become so imprecise over the major portion of Precambrian time that it is only rarely possible to use them to define particular events with the same precision as those dated in the Phanerozoic record, although this is changing with increasing analytical accuracy. The use of biological criteria for the erection of a chronostratigraphic scale is seen as a future possibility, but the methods of defining the units that are used in the Phanerozoic are thought inappropriate, and the characterization of a particular chronostratigraphic unit (e.g. by the presence of metazoan trace fossils) is seen as more appropriate. International agreement on the time for particular boundaries in the Precambrian is regarded as an attempt merely to define the terms already in use rather than having any scientific basis. It is possible that future research may reveal global events which are recognized to be unique and these may provide more reliable datum planes to use. If they are also related to changes in the way the earth behaved through time it would be logical to use these as markers for any major subdivisions of Precambrian time. None have
AN ANALYSIS OF THE INTERACTION BETWEEN TOURISTS' COGNITIVE DISTANCE AND THEIR SATISFACTION

The term cognitive distance refers to people's beliefs about distances between places in large-scale spaces that are far apart and not visible from each other.The cognitive distance phenomenon suggests that when tourists evaluate the impact of distance on their travel decisions,destinations will be placed in a relatively better or worse situation regarding distance than actually exists.Cognitive distance is an important antecedent of tourism geography because it plays a significant role in destination choice and travel behavior.The purpose of this study was to detect the interaction between tourists' cognitive distance and their satisfaction using a survey data.Researchers found that past experience is important in that tourists learn what features of a holiday are more likely to provide them with satisfactory experiences.The theoretical basis of this study was that distance may be an important factor to tourist's satisfaction and more experienced tourists with higher scores on measures of satisfaction may score marginally lower on measures of cognitive distance.A survey data of Jiuzhaigou was used to examine the interaction between tourists' cognitive distance and their satisfaction.Among all the factors we used,only cognitive distance and travel cost affected tourist's satisfaction at a significant level.The results support that cognitive distance has a positive impact on the tourists' satisfaction;the travel cost of Jiuzhaigou's arrivals also has a positive impact on the satisfaction.In the early stage of tourism activities,the main benefits of tourists are the travel benefits from the origin to the destination.The cognitive distance raised the benefits of tourists,and led to the increase of satisfaction level.Arrivals of Jiuzhaigou National Park had high income level and were more concerned about the quality of travel and tourism product quality.Analysis of variance was used to detect the effect of satisfaction to distance perception in the late stage of tourism activities.The study showed that satisfaction of tourists will significantly affect the cognitive distance estimates,and the cognitive distance decreases as the satisfaction enhancing.
STEM ANATOMY OF THREE SPECIES OF PINANGA FROM ASSAM, INDIA

The stem anatomy of the genus Pinanga Blume distributed to Assam of northeast India remains unattended. An anatomical study was conducted to address this research gap, where the plant samples to Pinanga were collected from different parts of Assam and identified as P. gracilis, P. griffithii, and P. sylvestris. The findings recorded anatomical variation among the species. Freehand sections of the stems were conducted, double-stained, quality specimens mounted, and suitable slides were observed under a light microscope. The types of epidermal cells and metaxylem vessels were variable among the studied species. In this study, vascular bundles with more than one metaxylem vessel were also recorded, which can be used for identification
Multi-Method Analysis of Histopathological Image for Early Diagnosis of Oral Squamous Cell Carcinoma Using Deep Learning and Hybrid Techniques

Simple Summary The research aimed to address the challenges in the early diagnosis of Oral Squamous Cell Carcinoma (OSCC), a critical concern given its high fatality rate and global prevalence. Through the development of hybrid methodologies, the study sought to improve early diagnosis, reduce the burden on pathologists, and enhance the accuracy of OSCC diagnosis. By employing transfer learning, a combination of CNN and SVMs, and a fusion of deep and texture-based features, the research achieved a significant overall accuracy of 97.00%, effectively addressing the critical problem of timely and accurate OSCC diagnosis. Abstract Oral cancer is a fatal disease and ranks seventh among the most common cancers throughout the whole globe. Oral cancer is a type of cancer that usually affects the head and neck. The current gold standard for diagnosis is histopathological investigation, however, the conventional approach is time-consuming and requires professional interpretation. Therefore, early diagnosis of Oral Squamous Cell Carcinoma (OSCC) is crucial for successful therapy, reducing the risk of mortality and morbidity, while improving the patient’s chances of survival. Thus, we employed several artificial intelligence techniques to aid clinicians or physicians, thereby significantly reducing the workload of pathologists. This study aimed to develop hybrid methodologies based on fused features to generate better results for early diagnosis of OSCC. This study employed three different strategies, each using five distinct models. The first strategy is transfer learning using the Xception, Inceptionv3, InceptionResNetV2, NASNetLarge, and DenseNet201 models. The second strategy involves using a pre-trained art of CNN for feature extraction coupled with a Support Vector Machine (SVM) for classification. In particular, features were extracted using various pre-trained models, namely Xception, Inceptionv3, InceptionResNetV2, NASNetLarge, and DenseNet201, and were subsequently applied to the SVM algorithm to evaluate the classification accuracy. The final strategy employs a cutting-edge hybrid feature fusion technique, utilizing an art-of-CNN model to extract the deep features of the aforementioned models. These deep features underwent dimensionality reduction through principal component analysis (PCA). Subsequently, low-dimensionality features are combined with shape, color, and texture features extracted using a gray-level co-occurrence matrix (GLCM), Histogram of Oriented Gradient (HOG), and Local Binary Pattern (LBP) methods. Hybrid feature fusion was incorporated into the SVM to enhance the classification performance. The proposed system achieved promising results for rapid diagnosis of OSCC using histological images. The accuracy, precision, sensitivity, specificity, F-1 score, and area under the curve (AUC) of the support vector machine (SVM) algorithm based on the hybrid feature fusion of DenseNet201 with GLCM, HOG, and LBP features were 97.00%, 96.77%, 90.90%, 98.92%, 93.74%, and 96.80%, respectively.
Adaptation of Coping Strategies to Reduce the Impact of Stress and Lonelines on the Psychological Well-Being of Adults

Objective: This comprehensive review investigates the intricacies of coping strategies employed by adults when dealing with stress. It delves into the multifaceted aspects of stress perception, exploring how individuals assess stressors as either threats or demands, and subsequently, how they react to them. Methods: To provide a well-rounded perspective, this review conducted an extensive search of relevant studies from the DOAJ and EBSCOhost databases, focusing on publications from the past decade. The analysis encompasses various facets of stress, including its perception, coping strategies, and the methods used to mitigate its effects. Results: Stress is a highly subjective experience, and its impact varies greatly among individuals. Some individuals perceive stressors as threats, leading to severe consequences, while others view them as challenges that can provoke positive emotional responses. Coping behaviors often stem from learned patterns, influenced by familial and past traumatic experiences. Recognizing and understanding predominant reactions to stress is pivotal in the development of effective coping strategies. Among the most successful coping mechanisms are those centered on problem-solving and seeking social support. Additionally, emotion regulation-oriented coping strategies enable individuals to manage their emotional responses to stressors. Conversely, non-adaptive coping strategies may provide temporary relief but often fail to address the root causes of stress. Conclusions: This review underscores the significance of coping strategies in the context of stress management among adults. Solution-oriented strategies, including active problem-solving and seeking social support, emerge as valuable tools for individuals in their efforts to cope with stress. It is essential to recognize that adults have the capacity to choose coping strategies that can effectively mitigate the adverse effects of stress. By comprehending and promoting these strategies, individuals can enhance their stress management skills, leading to improved mental health outcomes and overall well-being.
Results of an Intentional Introduction of Artemia sinica in the High-Altitude Tibetan Lake Dangxiong Co:On a Base of Surveys in 2011 and 2013

1 Introduction The human population is projected to reach 9200million by 2050.A fundamental question for science is whether it is possible to increase food production to meet the demands of a human population of that magnitude.It’s possible only to increase an aquaculture production.Cultivation of fish/shrimp larvae is a bottleneck in a cultivation of the different organisms.Live food