Miracle-dz/UniFAR-FTUs huggingface dataset:
Examining the nexus of relationship marketing and patient loyalty: The mediation and moderation analysis

Studies on association amongst relationship marketing and loyalty of patients are still trying to establish its presence in the healthcare management. Also, the variables impacting this association are still in exploratory phases. The research is being carried out for determining the nature of that relationship and also examining mediating and moderating effect of different variables. Data collected through various Scopus and other online databases have been used for this study. Literature review has been carried out by dividing it into three parts, relationship marketing, patient loyalty and variables like patient satisfaction, age, gender, family size, health insurance, etc. Primary data was collected from 938 patients of private healthcare providers by administering questionnaire online as well as in person. PLS-SEM was applied to analyze the data, which was used after testing the instrument for reliability and validity. After Covid-19 pandemic everyone felt need of a good health insurance but in actual many people were not having a simple health insurance cover also. Hospitals will have a major role in promoting health insurance and in turn providing quality service, but their role is currently limited to processing of health insurance and nothing more. Model from the study will help understand organizations the strength and direction of relationship between patient loyalty and efforts taken for marketing along with impact of moderating and mediating variable on the same. Future research can look into the other variables that will moderate or mediate the relationship in turn will help not only healthcare organizations but insurance companies also to develop product or service according to requirement of relationship. Research focuses on impact of moderating effect of health insurance on association amongst marketing efforts taken for relationship marketing and loyalty of patients through patient satisfactions’ mediation which was not studied before this. The study aims to test the conceptual model of moderating impact of health insurance on association between relationship marketing, patient loyalty and patient satisfaction using SEM.
Performance Analysis of a Novel Multiple Access Spatial Modulation Architecture based on STBC-OFDM and CDMA over Nakagami-m fading Channel

One of the schemes which are likely to be adopted in the forthcoming wireless communication standards is the so-called spatial modulation (SM). However, the wireless channels pertaining to such standards will mostly be frequency selective because of the involved high data rates, and SM technique alone can not overcome the resulting signal distortion. In this context, orthogonal frequency division multiplexing (OFDM) has been used as an efficient solution to combat this impediment, and space-time block coding (STBC)-OFDM has followed as an innovative approach merging the viable features of OFDM and the reliability enhancement capabilities of STBC. Obviously, SM solutions in the presence of multiple users communicating in frequency selective channels should be targeted. To fulfill such a need, a new SM-based architecture incorporating STBC-OFDM and CDMA is proposed in this work and is shown to exhibit a performance which is superior to state-of-the-art alternatives. Furthermore, its sensitivity to the aforementioned adverse parameters is studied in Nagakami channel.
Post-Traumatic Cerebral Infarction: A Narrative Review of Pathophysiology, Diagnosis, and Treatment

Traumatic brain injury (TBI) is a common diagnosis requiring acute hospitalization. Long-term, TBI is a significant source of health and socioeconomic impact in the United States and globally. The goal of clinicians who manage TBI is to prevent secondary brain injury. In this population, post-traumatic cerebral infarction (PTCI) acutely after TBI is an important but under-recognized complication that is associated with negative functional outcomes. In this comprehensive review, we describe the incidence and pathophysiology of PTCI. We then discuss the diagnostic and treatment approaches for the most common etiologies of isolated PTCI, including brain herniation syndromes, cervical artery dissection, venous thrombosis, and post-traumatic vasospasm. In addition to these mechanisms, hypercoagulability and microcirculatory failure can also exacerbate ischemia. We aim to highlight the importance of this condition and future clinical research needs with the goal of improving patient outcomes after TBI.
Arabian Sea Monsoon: Deep sea drilling in the Arabian Sea: Constraining tectonic-monsoon interactions in South Asia

The Arabian Sea in the northern Indian Ocean pre-serves regional sedimentary records of rifting, tectonic subsidence, and paleoceanographic history, and also provides archives of long-term erosion of the Himalaya since the start of collision between In? dia and Eurasia. Investigations reveal that drilling in this region can provide erosion records through analyses of the sediment cores, along with providing age control for the regional seismic stratigraphy. It is only by quantifying the volume of sedi? ment deposited in the fan that researchers can mass balance the volume of bedrock eroded from the mountains, constrained by thermochronology, with the volume of eroded rock deposited in the offshore and in the foreland basin.
Social anxiety and suicidal ideation among middle-school students in China: a mediation model of internet addiction

Background Suicide is a fatal public health issue for adolescents, and it is of great significance to explore the precursors of suicidal behaviors, especially suicidal ideation. However, the relationship between social anxiety and suicidal ideation and its mechanism are still unclear. The study aims to examine the association between social anxiety and suicidal ideation and the mediating effect through Internet addiction. Methods A total of 2,278 middle-school students aged 12 to 16 years were recruited through a multistage cluster sampling method in this cross-sectional study. Logistical regression analysis and structural equation modeling (SEM) were conducted to examine the direct and indirect effects of social anxiety. Results During the past year, 262 (11.50%) participants reported suicidal ideation. Females had a higher prevalence of suicidal ideation than males (12.9% vs. 10.0%, p = 0.034), and urban adolescents reported a higher prevalence than their rural counterparts (13.4% vs. 9.6%, p = 0.006). In the total sample, social anxiety and Internet addiction were independently associated with suicidal ideation (p < 0.05). In the subgroup analysis, the association between social anxiety and suicidal ideation was significant only among rural females and urban males (p < 0.05). SEM demonstrated that social anxiety had direct and indirect effects on suicidal ideation, and Internet addiction partially mediated the relationship, with a mediating ratio of 30.53%. The partial mediating effect was also significant only in rural females and urban males. Conclusion Adolescents may overuse the Internet to cope with social anxiety and further have suicidal ideation. Limiting Internet use and improving interpersonal skills in real life may be efficient for suicide prevention. In addition, targeted interventions should be tailored by different sexes across urban and rural regions.
THE INFLUENCE OF TRANSFORMATIONAL LEADERSHIP, EMPLOYEE INVOLVEMENT, AND ORGANIZATIONAL CULTURE ON EMPLOYEE COMPETENCE AT PT. TASPEN (PERSERO) KCU JAKARTA

This study aimed to examine the influence of transformational leadership, employee involvement, and organizational culture on employee competence at PT. Taspen (Persero) KCU Jakarta. The research method used was a quantitative approach with a survey method. The sample used in this study was 123 employees at PT. Taspen (Persero) KCU Jakarta. The data collected was analyzed using multiple regression analysis through SPSS version 25 software. The results showed that employee involvement through organizational culture had an indirect path coefficient of 0.053 at a significance level of ? = 5% and had a t count of 1.834 > table of 1.645, which meant there was a significant positive effect between employee involvement through organizational culture on employee competence. Furthermore, transformational leadership and organizational culture had a significant positive effect on employee competence. The results of this study can be used as a reference for the company to improve employee competence through transformational leadership, employee involvement, and organizational culture.
Investigating shared decision-making during the use of a digital health tool for physical activity planning in cardiac rehabilitation

Background Shared decision making (SDM) between healthcare professionals and persons with CVD can have a positive impact on motivation, adherence, or sustainability regarding long-term goals and integration of cardiovascular disease (CVD) rehabilitation in the everyday lives of persons with CVD. SDM can foster the transition between regular heart-healthy activity at rehabilitation facilities and more independent activity at home, but it is often challenging to implement SDM given limited time and resources, e.g., in the daily practice of rehabilitation. Digital tools can help but must be appropriately tailored for situated use and user needs. Objective We aimed to (1) describe in how far SDM is manifested in the situated context when using a digital tool developed by our group, and, based on that, (2) reflect on how digital health tools can be designed to facilitate and improve the SDM process. Methods In the context of a field study, we investigated how SDM is already naturally applied and manifested when using a digital tool for joint physical activity planning in cardiac rehabilitation in clinical practice. In a two-week qualitative study, we collected data on expectations, experiences and interactions during the use of a digital health tool by seven persons with CVD and five healthcare professionals. Data was collected by means of observations, interviews, questionnaires and a self-reported diary, and analysed with a particular focus on episodes related to SDM. Results We found that SDM was manifested in the situated context to limited extent. For example, we identified high improvement potential for more structured goal-setting and more explicit consideration of preferences and routines. Based on mapping our findings to temporal phases where SDM can be adopted, we highlight implications for design to further support SDM in clinical practice. We consider this as “SDM supportive design in digital health apps,” suggesting for example step-by-step guidance to be used during the actual consultation. Conclusion This study contributes to further understanding and integration of SDM in digital health tools with a focus on rehabilitation, to empower and support both persons with CVD and healthcare professionals.
What is it like to be an AI bat?

Consciousness is a natural phenomenon, familiar to every person. At the same time, it cannot be described in singular terms. The rise of Artificial Intelligence in recent years has made the topic of Artificial Consciousness highly debated. The paper discusses the main general theories of consciousness and their relationship with proposed Artificial Consciousness solutions. There are a number of well-established models accepted in the area of research: Higher Order Thoughts/Higher Order Perception, Global Network Workspace, Integrated Information Theory, reflexive, representative, functional, connective, Multiple Draft Model, Neural Correlate of Consciousness, quantum consciousness, to name just a few. Some theories overlap, which allows for speaking about more advanced, complex models. The disagreement in theories leads to different views on animal consciousness and human conscious states. As a result, there are also variations in the opinions about Artificial Consciousness based on the discrepancy between qualia and the nature of AI. The hard problem of consciousness, an epitome of qualia, is often seen as an insurmountable barrier or, at least, an “explanatory gap”. Nevertheless, AI constructs allow imitations of some models in silico, which are presented by several authors as full-fledged Artificial Consciousness or as strong AI. This itself does not make the translation of consciousness into the AI space easier but allows decent progress in the domain. As argued in this paper, there will be no universal solution to the Artificial Consciousness problem, and the answer depends on the type of consciousness model. A more pragmatic view suggests the instrumental interaction between humans and AI in the environment of the Fifth Industrial Revolution, limiting expectations of strong AI outcomes to cognition but not consciousness in wide terms.
Using images to extend smart object discovery in an Internet of Things scenario

The Internet of Things (IoT) represents a new paradigm in the Internet history and in the way people interact with everyday objects. Academics and several industry segments have been working over the past years to make this vision possible. It is estimated that there will be dozens or hundreds of devices simultaneously connected to the user’s network (e.g., in their home) in the next years, which can make the discovery and interaction with smart object more complicated to IoT users increasingly. This work proposes a smart objects discovery approach using image recognition, which aims to make this task quicker and more selective from an user perspective. An initial assessment has shown that the proposed mechanism can reduce the discovery time in a scenario with several devices, and additionally ensure a good level of user satisfaction.
Content delivery networks and content delivery methods

The invention discloses a content delivery network which comprises a content positioning system, a delivery configuration management system and at least one content supply node, wherein the content supply node is used for obtaining and providing contents; the content positioning system is used for determining the download positions of contents requested to be downloaded and providing the determined download position information to a content download requester; the delivery configuration management system is used for maintaining and/or generating the delivery configuration information of the contents; and the delivery configuration of the downloaded contents is determined according to the received information of the contents requested to be downloaded and is notified to the download requester. The invention also discloses a content delivery method based on the content delivery network. With the adoption of the technical scheme of the invention, the support for the delivery configuration of the contents is realized with lower complexity and cost.
STUnD: ett Sökverktyg för Tvåspråkiga Universal Dependencies-trädbanker

Föreliggande artikel introducerar STUND, ett Sökverktyg för Tvåspråkiga Universal Dependencies-trädbanker som möjliggör parallella syntaktiska sökningar. Vi demonstrerar dess praktiska tillämpning i en fallstudie på tempusformen presens perfekt i svenska och engelska. Resultaten visar att presens perfekt används i ungefär lika stor utsträckning i båda språken, men att det förekommer viss variation som verkar bero på språkspecifika konventioner och översättningsstrategier.
Marketing Analysis of Quail Eggs in 3 Different Traditional Markets in Medan City

The demand for quail eggs in several regions of Indonesia is quite high. This study aims to determine the shape of marketing channels, marketing margins, farmer's share, marketing mix and marketing efficiency of quail eggs at three different traditional markets in Medan City. The research method used is observation and interviews with respondents using a questionnaire. Sampling was done by snowball sampling technique. The results showed that the form of marketing channels for quail eggs at three different traditional markets in Medan City, there are three channels, namely: channel 1 (Farmers - Consumers), channel 2 (Farmers - Retailers - Consumers), channel 3 (Farmers - Collectors - Retailers - Consumers). Marketing margin for quail eggs in three traditional markets, the smallest on channel 1 is Rp.0 and the largest on channel 3 is Rp.64. The highest farmer's share is on channel 1 of 100% and the lowest on marketing channel 3 is 83.91%. The product marketing mix offered is quail eggs. Prices are set by retailers. Promotion uses direct promotion. Locations for trading are spread. Distribution channels directly to consumers and through intermediaries. Supporting facilities not only sell quail eggs but other products. The most efficient marketing efficient channel 1 with a value of 0%. The most efficient forms of marketing channels, marketing margins, farmer's share and marketing efficiency are in marketing channel 1. Marketing channel 1 is free of charge and marketing institutions are involved and marketing channel 1 is found in the three traditional markets in Medan City.
Breed-Related Differential microRNA Expression and Analysis of Colostrum and Mature Milk Exosomes in Bamei and Landrace Pigs

Breast milk, an indispensable source of immunological and nutrient components, is essential for the growth and development of newborn mammals. MicroRNAs (miRNAs) are present in various tissues and body fluids and are selectively packaged inside exosomes, a type of membrane vesicle. Milk exosomes have potential regulatory effects on the growth, development, and immunity of newborn piglets. To explore the differences in milk exosomes related to the breed and milk type, we isolated exosomes from colostrum and mature milk from domestic Bamei pigs and foreign Landrace pigs by using density gradient centrifugation and then characterized them by transmission electron microscopy (TEM) and nanoparticle tracking analysis (NTA). Furthermore, the profiles and functions of miRNAs in the two types of pig milk exosomes were investigated using miRNA-seq and bioinformatics analysis. We identified a total of 1081 known and 2311 novel miRNAs in pig milk exosomes from Bamei and Landrace pigs. These differentially expressed miRNAs (DE-miRNAs) are closely associated with processes such as cell signaling, cell physiology, and immune system development. Functional enrichment analysis showed that DE-miRNA target genes were significantly enriched in endocytosis, the T cell receptor signaling pathway, and the Th17 cell differentiation signaling pathway. The exosomal miRNAs in both the colostrum and mature milk of the two pig species showed significant differences. Based on related signaling pathways, we found that the colostrum of local pig breeds contained more immune-system-development-related miRNAs. This study provides new insights into the possible function of milk exosomal miRNAs in the development of the piglet immune system.
Clinical significance and immune characteristics analysis of miR-221-3p and its key target genes related to epithelial-mesenchymal transition in breast cancer

Background: MicroRNA-221-3p (miR-221-3p) facilitates the advancement of breast cancer (BC) through the induction of epithelial-mesenchymal transition (EMT). Our research aimed to utilize bioinformatics to discover possible EMT-related target genes (ETGs) of miR-221-3p and examine their roles in breast cancer. Methods: We employed bioinformatics techniques to identify ten key ETGs of miR-221-3p. Subsequently, we conducted an extensive analysis of both miR-221-3p and the ten ETGs, including clinical significance and immune characteristics. Results: The expression of miR-221-3p was notably higher in Basal-like BC compared to other subtypes and adjacent normal tissue. Our pathway analysis suggested that miR-221-3p might regulate EMT through the MAPK signaling pathway by targeting its ETGs. Among the ETGs, seven core genes (EGFR, IGF1, KDR, FGF2, KIT, FGFR1, and FGF1) exhibited downregulation in BC. Conversely, ERBB2, SDC1, and MMP14 showed upregulation in BC and displayed potential diagnostic value. The analysis of prognostication indicated that increased levels of SDC1 and MMP14 were correlated with an unfavorable prognosis, whereas elevated expression of KIT was associated with a more favorable prognosis. The infiltration of various immune cells and the expression of immune checkpoint genes (ICGs) exhibited positive correlations with most ETGs and miR-221-3p. SDC1 exhibited a greater tumor mutational burden (TMB) score, while ERBB2, KDR, FGF2, KIT, FGFR1, and FGF1 showed lower TMB scores. Furthermore, decreased ERBB2 and KDR expression levels were correlated with elevated microsatellite instability (MSI) scores. Elevated expression of ETGs was linked to decreased mRNA stemness indices (mRNAsi), whereas miR-221-3p displayed the opposite pattern. Most ETGs and miR-221-3p expression exhibited a negative correlation with IC50 values for drugs. Among the ETGs, amplification was the most significant genetic alteration, except for IGF1. Conclusion: In conclusion, miR-221-3p acts as a unique indicator for Basal-like BC. The examination revealed ten essential ETGs of miR-221-3p, some of which show potential as diagnostic and prognostic markers. The in-depth examination of these ten ETGs and miR-221-3p indicates their participation in the development of BC, emphasizing their promise as innovative targets for therapy in BC patients.
A Closer Look at the Reflection Formulation in Single Image Reflection Removal

How to model the effect of reflection is crucial for single image reflection removal (SIRR) task. Modern SIRR methods usually simplify the reflection formulation with the assumption of linear combination of a transmission layer and a reflection layer. However, the large variations in image content and the real-world picture-taking conditions often result in far more complex reflection. In this paper, we introduce a new screen-blur combination based on two important factors, namely the intensity and the blurriness of reflection, to better characterize the reflection formulation in SIRR. Specifically, we present Screen-blur Reflection Networks (SRNet), which executes the screen-blur formulation in its network design and adapts to the complex reflection on real scenes. Technically, SRNet consists of three components: a blended image generator, a reflection estimator and a reflection removal module. The image generator exploits the screen-blur combination to synthesize the training blended images. The reflection estimator learns the reflection layer and a blur degree that measures the level of blurriness for reflection. The reflection removal module further uses the blended image, blur degree and reflection layer to filter out the transmission layer in a cascaded manner. Superior results on three different SIRR methods are reported when generating the training data on the principle of the screen-blur combination. Moreover, extensive experiments on six datasets quantitatively and qualitatively demonstrate the efficacy of SRNet over the state-of-the-art methods.