Miracle-dz/UniFAR-FTUs huggingface dataset:
The Mixed-Layer Structures of Ikunolite, Laitakarite, Joséite-B and Joséite-A

We used high-angle annular dark field scanning transmission electron microscopy (HAADF STEM) to image the crystal structures of four minerals in the Bi4X3 isoseries (X = Te, Se, S), a subgroup of the tetradymite homologous series: ikunolite (Bi4S3), laitakarite (Bi4Se2S), joséite-B (Bi4Te2S), and joséite-A (Bi4TeS2). The four minerals are isostructural and interpretable in terms of regular stacking of seven-atom packages: [Bi–S–Bi–S–Bi–S–Bi], [Bi–Se–Bi–S–Bi–Se–Bi], [Bi–Te–Bi–S–Bi–Te–Bi], and [Bi–S–Bi–Te–Bi–S–Bi], respectively. The four phases are mixed-layer structures representing the Bi2kTe3 (k = 2) module within the tetradymite series. Diffraction patterns confirm they are seven-fold superstructures of a rhombohedral subcell with c/3 = d~1.89–1.93 Å. Modulation along the d* interval matches calculations of reflection intensity using the fractional shift method for Bi4X3. Internal structures can be discerned by high-resolution HAADF STEM imaging and mapping. Paired bismuth atoms are positioned at the outside of each seven-atom layer, giving the minerals a modular structure that can also be considered as being composed of five-atom (X–Bi–X–Bi–X) and two-atom (Bi–Bi) sub-modules. The presence of mixed sites for substituting cations is shown, particularly for Pb. Moreover, Pb may be important in understanding the incorporation of Ag and Au in Bi–chalcogenides. Visualisation of crystal structures by HAADF STEM contributes to understanding relationships between phases in the tetradymite homologous series and will play an invaluable role in the characterization of potential additional members of the series.
Drug Abuse Prevalence and Effects in Coffee Shop Workers : A Cross Sectional Study

Background: Drug abuse among population have become more common than before, coffee shops workersare of increasing chance to drug abuse, the facing of such big problem necessitates collection of informationregarding the prevalence of drug abuse types and effects on health , and this will result in prevention of itshazardous on population at all.Patients and Methods: cross- sectional study during the the first day of April 2019 till the last day ofSeptember 2019 , one hundred and twenty coffee shop workers were included. The workers were chosenfrom 12 randomly selected coffee shops located in rural and in urban areas. The data were gathered through aquestionnaire and urine samples from participants. The collected samples were taken to the lab and screenedfor drug abuse using dip stick, thin layer chromatography (TLC) and gas chromatography (GC-MS). Thecollected data were organized, tabulated, and statistically analyzed using statistical package for socialscience (SPSS Inc, version 22). Results: the study showed that The prevalence of tramadol and cannabis and other synthetic drugs amongcoffee shop workers in urban and rural area nowdays more than before and their detection easily done byusing GC-MS. hazardous on health among abusers more than non abusers.Conclusion: The prevalence of drug abuse among coffee shop workers of increasing popular especiallytramadol , cannabis and other synthetic drugs, between all age groups in urban and rural area ,these drugsof abuse can be detected using dip stick , TLC and the most specific method of detection using GC-MS toconfirm the results. Countries should plan for facing this cancer due to its bad hazardous and consequenceson health , family and society .
Assessment of Anthropogenically Stressed Ecosystem of Port Waters Using Macrobenthic Community-Biotic Indices

Macrobenthic community being used as marine health indictor vis-à-vis to anthropogenic disturbance since their characteristic of life cycle (reproductive mode, sedentary, energy transfer, sensitive-resistance species, indicator organism etc.). Therefore, the present study was chosen in Vizag port waters have been subject to a variety of anthropogenic pressure in the last two decades. The purpose of this study was to assess the ecological status of the port environment through biotic indices like AZTI 's Marine Biotic Index (AMBI) and Multivariate-AMBI Index (M-AMBI) which have been successfully validated geographically and anthropogenically stressed habitats. The result revealed that the inner harbor (IHC, Iron ore Q1 & Iron ore Q7) stations are heavily disturbed while the outer harbor fall between undisturbed and moderately disturbed status. It was observed that the reduced tidal action inside the harbor determines the health status indicating that the Iron ore transporting areas are at high risk with respect to benthic population.
How to harnesses digital technologies for pursuing business model innovation: a longitudinal study in creative industries

Purpose This study aims to investigate how manufacturing firms in the creative industries harness digital technologies to undertake business model innovation. Design/methodology/approach This study used in-depth case studies to examine the complex interplay between digital technologies and business model innovation. A longitudinal approach was selected to capture major events both within the firm and in the business environment. Building on the firm’s archival data, interviews and secondary data that was available to the public, the authors carefully analyzed impactful digital technology events and the firm’s responses to the technological changes that occurred over the period of 2004–2020. Findings The findings suggest that digital technologies alone are not sufficient for business model innovation to be successful; support from sociotechnical factors is also required. Additionally, firms should reinvent a new business model when the existing ones seem to start to diminish. Research limitations/implications In this study one firm was examined as the subject, using a qualitative method. This method allowed us to observe complex interplays among the resources required in business models. Future research can combine qualitative methods with computational case studies, which utilize a large volume of quantitative big data. Practical implications The results of this study suggest that managers must ensure that the resources within and outside organizations are loosely connected and are readily available to be mobilized for supporting business model innovation. To enable this, managers must prepare the required resources in advance. Originality/value The current findings add to a growing body of literature on business model innovation and digital technologies. In particular, this study describes the process of how a traditional firm from a least developed country pursues business model innovation with the support of digital technologies.
Agriculture and GDP Causality Nexus in Morocco: Empirical Evidence from a VAR Approach

The agricultural sector continues to be the backbone of the Moroccan’s economy, employing 38% of the active working population and contributing to 13% of Gross Domestic Product (GDP). However, Moroccan agriculture is subject to multiple constraints, including volatility due to climatic conditions which continue to condition the economic performance of the country as a whole, despite the decrease in the share of agriculture in the sectoral composition. The main objective of this study is to econometrically explore the causality nexus between agriculture and GDP in Morocco, especially since the sector has benefited from new development strategies. Using Moroccan time series over the period 1980 to 2017, the paper employed the Granger causality based on the vector autoregressive model (VAR) in a dynamic multivariate framework, using five macroeconomic variables: GDP per capita, agricultural GDP, investment rate, money supply, and trade openness. The empirical results from the analysis detect the presence of bidirectional Granger causality between agriculture and GDP, implying a feedback relationship, and some unidirectional causal relationships involving the other macroeconomic variables used in the VAR model. The findings have important policy implications for the government to establish effective agricultural strategies, in particular with the inauguration of the new agricultural strategy «Green Generation» in 2020.
Identification of Cryptosporidium parvum in Stool Specimen Using Different Diagnostic Methods in Wasit Province/Iraq

The present study aimed to investigate the presence and prevalence of Cryptosporidium amongimmunocompromised patients in Wasit Hospitals and health centers to determine the best method for itsdiagnosis. The study started from the 1st of August to the end of November 2020. One hundred forty stoolsamples were collected from immunocompromised patients from both genders who attended the hospitaland health centers at Wasit province. Stool samples were inspected by modified acid-fast stain as a standardmethod, enzyme linked immunosorbent assay (ELISA) and Molecular Nested PCR method. Modified Ziehl-Neelsen technique revealed 46 (33%) positive cases for Cryptosporidium oocysts, of 85 males and 55 females,highly significant relationship was found between the genders and between different age groups of infectionwith a highly significant difference between rural and urban area. The prevalence of Cryptosporidium was57.14% using nested PCR and 38.46% for ELISA in comparison with MZN method. It is concluded thatcryptosporidiosis found to be endemic in Wasit Province for the first time and the nested PCR was the mostreliable technique for its diagnosis.
ASPECTS OF UTILIZATION AND LIMITATIONS OF ARTIFICIAL INTELLIGENCE IN DRUG SAFETY

Previously, it was thought that computers cannot perform the works on its own and need the human intelligence but now it is possible with the help of artificial intelligence (AI). AI has the potential to impact nearly every aspect of medical science. As pharmacovigilance (PV) deals with data concerning drug safety, it is being considered the field to be enormously transforming in near future with the emergence of AI. This article explores and gives an overall review of the researches done to implement AI technologies in PV activities. Among many of the PV activities, case processing is the most resource-consuming area, and signal detection is considered to be a poorly functioning area due to various limitations. Introducing AI will potentially fulfill the limitations in these areas and help us to use the resources in a focused way to get the real-world risk-benefit ratio for a better understanding of the safety profile of drugs and to take timely action for the well-being of people.
Effect of Health Literacy Intervention on Medication Adherence among Older Adults with Chronic Diseases

Background: Medication adherence is essential for controlling chronic conditions, treating temporaryconditions, and overall health and well-being. Aim: Examine the effect of health literacy intervention onmedication adherence among older adults with chronic diseases. Design: A quasi-experimental (study andcontrol design). Settings: Family health unit in Dragel village, Menoufia Governorate, Egypt. Sample:a purposive sample of 140 older adults. Tools:1) Interviewing questionnaire that includes; the sociodemographicdata, medical history, medication knowledge, factor affecting medication adherence andphysiological measurement 2) The Medication Adherence Scale. 3) Self-Efficacy for appropriate medicationuse scale. Results: There was remarkable improved medication adherence and self-efficacy in medication usein the study group compared to pre-intervention and the control group. Also, there was improved knowledgeand practice regarding medication use. Also, there was significant control in random blood glucose leveland blood pressure in the study group compared to pre-intervention and the control group. Conclusion: Thehealth literacy intervention was effective in enhancing medication adherence, successful in improving selfefficacyin medication use, and significantly controlling random blood glucose and blood pressure amongolder adults. Recommendation: Health care providers especially nurses should provide regular follow upfor older adults with chronic diseases regarding medication adherence.
Intersubjectivity and psychopathology: Borderline and psychosomatic bodies “at the mind’s limits”

Abstract The body is the essential go-between between selfhood and otherness, and the site of the implicit traces of intersubjectivity that have marked the brain as well as the body. The body is also the depository of epigenetically implicit traces, sorts of implicit working models. The body is finally the site of the un/conscious, in the sense of implicit memory, something that is not conscious but guides implicitly, namely without our full awareness, behaviors, motivations, feelings, and responses. In psychopathology, only interpersonal traumatizations or “trauma of human agency” in its three levels causes dissociation in humans. At the mind’s limits, the body/mind disconnection that characterizes psychopathology, as in borderline personality disorders, is also evident in psychosomatic disorders, where the circuit between what the body feels, what the mind registers, and what the subject can name or is able to express verbally is disconnected and, as a result, bodily symptoms come forth in order to name the emotional pain. While hysterical symptoms still retain a symbolic root suitable for interpretation (retaining a metaphoric link between mind and body), psychomatic disorders show that the connection between body and mind has been severed and the symptoms speak “at the mind’s limits. ”
Inhibitory Effects of Methanol Stem Bark Extracts of Sterculia Setigera and Ficus Platyphylla on Hemoglobin Glycosylation and α-amylase

Diabetes Mellitus is a chronic metabolic disorder characterized by hyperglycemia due to abnormal insulin secretion, action or both. The synthetic available anti-diabetic drugs exhibited various adverse effects such as diarrhea, hypoglycemia. In recent years, scientists have turned their attention towards the medicinal plants which bear the rich source of metabolites which offer specific therapeutic function in the human body without any adverse effect. Sterculia setigera and Ficus platyphylla are medicinal plants that are used to treat various diseases and including diabetes traditionally. The present study is aimed at investigating the antidiabetic activity of the S. setigera and F. platyphylla methanol stem bark extracts. Phytochemical screening was determined using the standard method. In vitro studies were carried out using α-amylase and glycosylated hemoglobin inhibitory assay. The results of phytochemical constituents detected were flavonoids, Tannins, Steroids, Saponins, cardiac glycosides, Terpenoids, and Phenols. Inhibitory effects of both plant extracts were dose dependent against haemoglobin glycosylation and α-amylase. At highest concentration (25mg/ml), highest inhibitions were recorded in S. setigera (70.30%) and F. platyphylla (70.00%) which was comparable to Metformin (57. 2%). IC50 of Sterculia setigera (3.18mg/ml) and Ficus platyphylla (5.97mg/ml) were lower than metformin (8.84 mg/ml) against hemoglobin glycosylation. At concentration of (1.0mg/ml) S. setigera (72.21%) and F. platyphylla the (70.41%) showed the highest inhibitory effect which was not significantly different (p<0.05) compared to Voglibose (83.47%). In the present study, the IC50 of both extracts were higher (0.64 and 0.69mg/ml) and not significantly comparable to the Voglibose (0.26mg/ml). In conclusion, this study suggests that Sterculia setigera and Ficus platyphylla methanol stem bark extract possess hypoglycaemic potentials. This justifies their ethnomedicinal use for the treatment of diabetes.
Female Users’ Behavioral Intention to Purchase in Social Commerce through Social Networking Sites

The present study aims to discover the relationship among social influence, verbal influence, easiness, trust, enjoyment, and intention to purchase in social commerce (S-Commerce), particularly by female users of social networking sites (SNS). A total of 280 responses were collected from female SNS users through an online survey. The obtained data were further examined for normality, construct validity, reliability, and model fit, using Structural Equation Modeling (SEM) to test the hypotheses. This study confirmed that social influence had a significant effect on verbal influence and trust; meanwhile enjoyment was influenced by trust and easiness. The results also revealed that trust and enjoyment had a positive effect on intention to purchase products or services from social commerce by the female SNS users. Moreover, verbal influence provided an impact on trust and easiness; while the relationship between social influence and enjoyment, easiness, and trust was not significant. These results contribute to offering fruitful insights for sellers and vendors of social commerce in attracting and acquiring the attention of female customers; as a result, it leads to achieving higher profits and flourishing business activities in social commerce.
Decolonizing Game Literacy

In the last decades, digital games moved from niche to mainstream: more and more people play, talk about and engage with these artefacts, becoming an important part of contemporary cultures, giving rise to the idea of game literacy, the set of skills needed to meaningfully engage with videogames. While the potentials of game literacy have, to some extent, been already discussed in the literature, we have not discussed enough the need for a game literacy that problematises the sociocultural dimensions of gaming, including the hegemonic, exclusionary rationales implicitly disseminated through mainstream gaming. In this chapter, I outline a decolonial model for game literacy, remarking how the reflection about the gaming circuits of production and dissemination should be part of any initiative that aims at dealing with critical and creative competences towards gaming, and how these are crucial for any citizen in contemporary societies.
Results of Key Indicators From Linguistic Action Perspective in Pandemic: Case Study

Due to the low productivity of the construction sector and current global pandemic conditions, it is essential to analyze interpersonal relationships at work, engagement and labour productivity, through the management of commitments. Therefore, this article seeks to measure and analyze key Linguistic Action Perspective (LAP) indicators to examine commitment management in Last Planner® System (LPS) weekly work planning meetings during the pandemic (virtual and face-to-face meetings). The case of study methodology was used in 27 projects of a construction company in Colombia, in which the authors analyzed the results of LAP engagement indicators and compared them to the PPC, determining Spearman´s correlation coefficient in each indicator and finding that the projects that had strong correlations were those where: the percentage of progress was between 65% and 95%; average PPC was between 60% and 90%; a “Big Room” was used; and the meetings had between 10 and 20 attendees. For future research, we propose the use of other methods of relationship, causation and/or prediction analysis, such as Structural Equation Models or Machine Learning, a future methodology for virtual or semi-face-to-face meetings and the study of other performance indicators.
Evaluating the Economic and Social Effects of Tourism on Tourist Attractive Villages of Izeh and Baghmalek Counties

Purpose- The villages of Izeh and baghmalek cities are considered as tourist destinations in Khouzestan province due to their valuable natural, cultural and historical attractions. Therefore, in the present study, the economic and social effects of tourism on the tourist attractive villages of Izeh and Baghmalek have been studied.Design/methodology/approach-The present study is conducted with applied purposes using a descriptive-analytical method. The library and field methods were used for data collection. The statistical population of the study included 20 rural experts and managersand 242 rural heads of households who were selected by simple random sampling. Villages that had the potential for tourism were selected. In order to use the indicators, based on the theoretical foundations of previous research and studies, the indicators were screened and operationalized. Based on the nature of the research, 10 indicators with a higher degree of reproducibility were selected. SPSS tests and Prometheus technique were used to analyze the data.Findings- Assessing the effects of tourism on the studied villages showed that tourism has the most positive effects on indicators of improving facilities and services, booming local products market and household income growth and employment, respectively, and the most negative effects on cultural interactions and population dynamics, land price, and changes in lifestyle and security. Also, the results of Prometheus technique showed that the percentage of changes in tourism effects was 80% in Imamzadeh Abdolah, above 69% in Shivand, 59.14 in Mal agha, 27.26% in Robat Hazrat Soleiman, 17.69% in Abolabbas, 16.12% in Susan village, 10.75% in Pian, 10.63% in Sadat Hosseini village and 8.46% in Kamal villageOriginality/value -The community living in Izeh and Baghmalek cities have been facing many problems for many years. In such a way that the mentioned cities were deprived of the minimum facilities and welfare services. These problems are more pronounced in rural communities. Therefore, considering that the villages of the two cities, have natural potentials for tourism, handicrafts, local and indigenous products, etc., it is possible to develop tourism and take advantage of these capacities to improve facilities and services, income, quality of life, etc., in these villages.
Expelled from the garden? Understanding the dynamics of green gentrification in Vancouver, British Columbia

There is substantial evidence detailing the ecological and social benefits provided through urban greening. However, research in the field of urban green equity has revealed that these benefits are not enjoyed equitably by all residents; existing disparities in the distribution, accessibility, and experience of urban greening disproportionately affect historically marginalized communities and residents. Furthermore, green gentrification scholarship has indicated that instances of urban greening intended to rectify inequities, can contribute to or elicit shifts in property values, encouraging speculative commercial and retail investment, disrupting existing socio-spatial relationships, and threatening the housing security of residents. Although there is consensus on this general characterization of green gentrification, many questions remain concerning the relationships between urban residents engaged in small-scale urban greening and the perpetuation of green gentrification outcomes. Contributing to this line of inquiry, we present a case study of an urban farm operating in Vancouver, Canada, facing displacement due to the redevelopment of its current site. Our results from the study illuminate the contradictory position in which urban residents practicing urban greening are sometimes placed—both implicated in and impacted by green gentrification processes. We present a review of our case study to highlight the power dynamics that farm members must navigate in the effort to preserve their access to land and continue their farming practice. Then, we discuss the farm's role as a consultant for the redevelopment process, exploring how its vision, mission, and identity have been co-opted by development agents and used as a branding tool to promote and support the public perception of the redevelopment. Our findings offer insight into novel relationships between urban agriculture, large-scale redevelopment, and green gentrification. What's more, they contribute to existing discourse concerning the limitations of development processes to account for the risks of green gentrification.