Miracle-dz/UniFAR-FTUs huggingface dataset:
Zircon Behaviour during Low-temperature Metamorphism

Zircon in greenschist-facies metasedimentary rocks from the Scottish Highlands displays a range of complex textures that reflect low-temperature alteration of original detrital grains. In situ back-scattered electron, cathodoluminescence, electron backscatter diffraction and chemical analyses show that altered zircon is porous, weakly luminescent, enriched in non-formula elements such as Al and Fe, and is associated with fractures within the host zircon. The low-temperature zircon appears to be nano-crystalline and to replace U-rich zircon via modification of whole grains or selective alteration of parts of grains, and is linked to the development of zircon outgrowths. The altered zircon is also associated with epitaxial xenotime outgrowths and inclusions. Low-temperature zircon is abundant in slates and other mica-rich samples and its formation is linked to a dissolution–reprecipitation mechanism. Zircon within quartz-rich host rocks typically shows evidence of deformation and the resulting fractures enhance its dissolution, creating rounded embayed morphologies. In contrast, zircon from phyllosilicate-rich rocks contains more new low-temperature growth. Zircon alters during both prograde and retrograde metamorphic events and its development is controlled by both the progressive accumulation of radiation damage in the host grain and the access of metamorphic fluids to the metamict zircon.
Helicobacter pylori gastritis in Jordanian children: persistence versus resolution

: Introduction: Helicobacter pylori ( H. pylori ) is the most common cause of infectious gastritis. Helicobacter pylori is an infection that is typically acquired during childhood. Aim: This study aims to describe children with H. pylori infection and compare the clinicopathological features of children with resolved and persistent infection. Material and methods: This is a retrospective review of all children with biopsy-proven H. pylori infection over a 6-year period. Hospital electronic files, endoscopic database, and histopathology database were reviewed. Patients who underwent follow-up endoscopy were identified, and their data was compared. Results: A total of 176 patients were identified, of whom 100 (56.2%) were females. The average age at presentation was 10.2 years (range: 2.5–17 years). Children older than 10 years were the most affected age group. The most commonly presenting symptom was recurrent abdominal pain (92 (51.69%)), followed by epigastric pain/dyspepsia and vomiting (44 (24.72%) and 18 (10.11%), respectively). The most common macroscopic feature was antral nodularity (76 (42.70%)). The most prevalent microscopic findings were moderate inflammation of moderate chronicity. None of the patients developed gastric atrophy. Forty-four (23.5%) patients had comorbid diseases. On follow-up, upper endoscopy was available for 42 (23.59%) patients. The resolution of H. pylori based on histological examination was observed in only 10 (23.81%) patients. Children whose infections resolved were older. Conclusions: A significant number of children with biopsy-proven H. pylori infection presented with abdominal pain. Female gender, older age, and less severe macroscopic and microscopic findings may be associated with a higher chance of infection resolution.
The Relationship Between Level of Education, Cognitive Function and Medication Adherence in Patients with Schizophrenia

Purpose Several studies have explored the relationship between level of education and medication adherence, as well as the relationship between level of education and cognitive function. However, there have been few studies on the relationships between level of education, cognitive function, and medication adherence. This study aimed to explore whether cognitive function has a mediating effect between level of education and medication adherence in patients with schizophrenia. Patients and Methods A total of 329 participants were included in this study. Cognitive function was assessed using the Brief Assessment of Cognition in Schizophrenia, and medication adherence using the Medication Adherence Questionnaire. The relationships between the clinical factors and cognitive function that contributed to medication adherence were tested through multivariable linear regression analysis. The mediating effect of medication adherence was tested using the bootstrapping approach with the PROCESS macro. Results Family history, insight and executive function were associated with medication adherence in individuals with schizophrenia, and executive function had a mediating effect between level of education and medication adherence. Conclusion Adopting specific education programs that promote cognitive development as well as actively intervening in executive function might be conducive to improve medication adherence in patients with schizophrenia.
Hygroscopic properties of aerosol particles over the central Arctic Ocean during summer

The hygroscopic properties of submicrometer aerosol particles in the Arctic summer marine boundary layer (MBL) were observed on board the icebreaker Oden during the Arctic Ocean Expedition 1996 (AOE-96). The measurements were performed between July 15 and August 25 1996 and covered the region between longitudes 16°-147°E and latitudes 70°-87.5°N, mostly over melting pack ice. The hygroscopic tandem differential mobility analyzer (H-TDMA) was used to determine the hygroscopic diameter growth of aerosol particles at four dry diameters (15, 35, 50, and 165 nm) and three relative humidities (50%, 70%, and 90% RH). The hygroscopic behavior of the aerosol particles over the pack ice showed large temporal variations, in contrast to previous observations in marine boundary layers over warmer oceans. These variations were mostly due to the high degree of vertical atmospheric stratification often observed over the pack ice. However, when comparing the average diameter growth factors of the more hygroscopic particle group, representing an aged aerosol with growth factors between 1.4–1.9 at 90% RH and present in 81–86% of all cases, the agreement between the measurements over the Arctic and the warmer oceans was very good and depended on the average wind speed. The average diameter growth factors of the more hygroscopic particles as a function of relative humidity were modeled empirically by power law expressions. The concentration of cloud condensation nuclei (CCN) estimated from aerosol number size distribution and hygroscopic growth data correlated well with direct measurements but overpredicted the CCN concentrations by about 30%. In 43 cases when the sampled air mass had undergone processing in Arctic Ocean MBL clouds, the minimum CCN diameter was estimated to be 76±15 nm, corresponding to effective water vapor supersaturations of 0.28±0.08%.
Optimization and antimicrobial properties of biosurfactant production by
four indigenous soil bacterial species

Biosurfactants of microbial origin are metabolites; hence their production is dependent on the growth of the producing microbe. The objective of this study was to assess the optimum conditions for biosurfactant by four bacterial species. Biosurfactant detection was carried out using emulsification index, drop collapse and oil displacement assays. Functional composition of the crude biosurfactant was determined using gas chromatography-mass spectroscopy (GC-MS). In the presence of Pseudomonas fuscoginae significantly higher EI 24 of 53.98% and 52.60% was observed in media that contained glucose or sodium acetate as carbon source, respectively. When P. fuscoginae or P. aeruginosa was used for inoculation, highest EI 24 of 61.18% and 48.40% was observed in media that contained potassium nitrate as nitrogen source. In the medium that was inoculated with either B. subtilis or B. proteolyticus, highest EI 24 of 53.65% and 49.63% was observed in the presence of tryptone and peptone, respectively. At the respective pH used for investigation, significantly highest EI 24 was observed at pH 6, when inoculated with the respective isolates. In the case of incubation temperature, positive results were obtained throughout the incubation period at 25 and 30 o C. This was also irrespective of the isolate used for inoculation. All the extracted biosurfactants showed antimicrobial potentials against the test pathogens used for investigation. Characterization of the crude biosurfactant revealed the presence of compounds with antimicrobial properties. The study was able to provide useful information on optimum conditions for biosurfactant production by test bacterial species and the potential for possible application of the biosurfactants as antimicrobial agents.
Restarting School

Taking a closer look at successful project and practices of the eminent speakers in the field of education we can see they have many things in common. The first approach that is the repeatedly mentioned »self learning« . The winner of TED awards 2013 Sugata Mitra shows the power of children teaching themselves in his excellent project a Hole in the Wall. He argues that children with computer alone can learn the knowledge required of a western secretary in just nine months. Salmir Khan of Khan Academy also supports the idea of a tutor who sets the educational environment and allows kids, with some tutor support, to teach themselves and each other. The findings were also supported with the research of Benjamin Bloom [1] back in 1984. His research shows that one on one instructions produce significantly better results, compared to standard lecture-based classroom. The other frequently mentioned approach is »gamification« . Prof. Lee of Colombia University argues that Gamification attempts to harness the motivational power of games and apply it to real-world problems such as
Online Informal Learning of English: How Students Use Technology to Supplement Classes

Students form their own conceptions about how languages are learnt and which resources and environments are beneficial. Based on a recent survey amongst Austrian ESP students, this talk compares student perspectives on the potential of technology for different skills with evidence from research, explains some apparent inconsistencies in beliefs and practice, and suggests how user preferences in informal online learning and research outcomes might be exploited to benefit classroom practice as well as independent learning
Gondwanan faunal signatures from Early Palaeozoic terranes of Kazakhstan and Central Asia: evidence and tectonic implications

Abstract Two separate tectonic blocks in the southwestern segment of the Kazakhstanian orogen, the Chu–Ili terrane and the Karatau–Naryn terrane (with particular attention to Malyi Karatau), are selected to illustrate their geological history and major biogeographical signatures from the Cambrian to the early Silurian. Mid- to Late Ordovician brachiopod and trilobite faunas of Chu–Ili show increased endemicity of shallow shelf assemblages, whereas distinct links to equatorial (‘east’) peri-Gondwanan are more evident in trilobite assemblages of the outer shelf. In the Late Ordovician, strong biogeographical affinities to equatorial Gondwanan faunas became firmly established and they are also traceable into the Silurian. Early Cambrian faunas of Malyi Karatau show remarkable similarity to those of South China. From the Middle Cambrian this region evolved as an isolated carbonate seamount, but until the Early Ordovician links to South China faunas were still evident. Benthic faunas from both regions show weak links to contemporaneous faunas of Baltica and little in common with Cambrian and Ordovician faunas of the Siberian craton. This suggests their location in low southern latitudes, in relative proximity to East Gondwana, which places some constraints on plate-tectonic reconstructions in relation to the southern cluster of Kazakhstanian terranes, including Karatau–Naryn, North Tien Shan and Chu–Ili.
A usability study on mobile EMG-guided wrist extension training in subacute stroke patients(cid:0) MyoGuide

Background: Effective stroke rehabilitation requires high-dose, repetitive-task training, especially during the early recovery phase. However, the usability of upper-limb rehabilitation technology in acute and sub-acute stroke survivors remains relatively unexplored. In this study, we introduce sub-acute stroke survivors to the “MyoGuide”, a mobile training platform that employs surface electromyography (sEMG)-guided neurofeedback training for post-stroke wrist extension. Notably, the study places a strong emphasis on evaluating the platform’s usability within clinical contexts. Methods: We report the results of seven sub-acute post-stroke participants. The MyoGuide mobile training platform provided participants with real-time feedback, gami�cation features, and user control. Participants underwent wrist extension training, which encompassed calibration, stability assessment, and dynamic tasks. The training was conducted in supervised 1:1 sessions, spanning ten days. All training records were recorded within the application, usability was assessed through System Usability Scale (SUS) and a questionnaire administered during the �nal session. Daily written reports were provided by the therapist throughout the study duration. Results: The usability analysis yielded positive results, with a median SUS score of 82.5. Across the training sessions, patients progressed as indicated by signi�cant increases in both the Stability Assessment Scores and the Level of Di�culty (LoD) that could be achieved in the dynamic task. The rate of progression differed based on initial impairment levels of the patient. During the training sessions, therapists documented not only the day-to-day performance of participants but also the extent of support required, particularly for those with lower baseline motor function. In parallel, participants who had experienced stroke expressed a keen interest in continuing home-based training. However, they also acknowledged challenges related to independently using the Myo armband and software. Conclusions: This study introduces the MyoGuide training platform and demonstrates its usability in a clinical setting for stroke rehabilitation, with the assistance of a therapist. The �ndings support the potential of MyoGuide for wrist extension training in patients across a wide range of impairment levels. However, certain usability challenges, such as donning/do�ng the armband and navigating the application, need to be addressed to enable independent MyoGuide
Effect of Massage Therapy on Minimizing Fatigue among Elderly Women with Breast Cancer

: Background: Fatigue is a commonly reported debilitating symptom affecting more than 70% of elderly cancer patients, and experienced by up to 90% of breast cancer patients during active treatment. Massage therapy is considered a safe complementary approach that has a great rate of acceptance; therefore, it can be used in elderly women as a supportive care for fatigue management. Aim: Determine the effect of massage therapy on minimizing fatigue among elderly women with breast cancer. Research design: A quasi experimental research design was utilized. Method: The study includes a purposive sample of 72 elderly breast cancer women (≥60 years) attending at radiation unit of the oncology and nuclear medicine department. The study sample were divided into two groups; the study group (n=32) who received twelve Swedish massage sessions, and the control group (n=35) who received only routine care. The revised Piper Fatigue Scale was completed before and after massage intervention to evaluate the level of fatigue. Results: After 6 weeks of massage therapy, fatigue scores improved significantly in the study group (P>0.001) compared to the control group. While within group comparison, there was a significant improvement in post intervention fatigue score compared to pre intervention fatigue scores for study groups at the two time points (at week 3 and at week 6) (P>0.001), while it did not differ in the control group. Conclusion: Massage therapy is an effective approach in reducing fatigue in elderly women with breast cancer. Recommendation: Massage therapy as a noninvasive, cost effective, and easy to applied approach should be involved in routine care for elderly breast cancer patients as a health care services.
0B Entrepreneurial Orientation and Entrepreneurial Performance among Female Entrepreneurs: Empirical Evidence from Kenya

The purpose of this paper was to study whether entrepreneurial performance can be explained by entrepreneurial orientation among female entrepreneurs in Kenya. This empirical research is based on the data from 301 small and medium enterprises (SMEs) located in Kenya. A linear multiple regression analysis on the effect of entrepreneurial orientation on entrepreneurial performance among female entrepreneurs was conducted. The paper focused on the five aspects of entrepreneurial orientation (risk-taking, innovativeness, pro-activeness, competitive aggressiveness, and, autonomy) and their ability to prompt entrepreneurial performance which was defined as firm performance, development of personal wealth, and social performance. Social performance was rather well predicted by entrepreneurial orientation (by 4 out of 5 aspects), whereas firm performance was only limitedly predicted by entrepreneurial orientation (only by 2 out of 5 aspects) and development of personal wealth was not predicted by entrepreneurial orientation at all (by 0 out of 5 aspects). On the other hand, we see that the entrepreneurial orientation aspects of innovativeness and pro-activeness
SPATIO-TEMPORAL ANALYSIS OF URBAN ECONOMIC RESILIENCE DURING COVID-19 WITH MULTILAYER COMPLEX NETWORKS

Abstract. The COVID-19 pandemic has impacted the economic growth of almost every country, with many industries facing operational difficulties, and the failures of a large number of restaurants, in particular, have extensively tested the resilience of urban economies. The gastronomy business is one of the most decentralized and location-based consumer business in urban, which is highly related to the economic attributes of cities. However, there are few studies on quantitative analysis of urban economic resilience through the opening and closing of restaurants. Understanding and planning for the aftermath of the COVID-19 may not only minimize detrimental effects but also provide insights into the economic recovery policies. This study analyzes the phenomenon of restaurant failures after the pandemic in Shenzhen, China via percolation in multilayer complex networks. We identify the closed restaurants through data mining, and construct the human mobility network through mobile phone location data, aggregating origin and destination points into grids. We then embedded the restaurants’ Points of Interest (POIs) into the grids, creating an additional restaurant network layer. By considering spatial interactions between restaurants, we constructed a geographical proximity network for restaurants in each grid. Finally, Using these multilayered nested networks, we analyzed the pandemic’s impact and the occurrence of critical phenomena related to restaurant closures under lockdown policies through percolation in multilayer complex networks. As a result, this study found that the severity of the pandemic significantly increased the probability of restaurant failures, with cascade and critical phenomena. However, implementing precise lockdown measures can effectively lower the probability of restaurant closures. These results highlight the effectiveness of accurate lockdown policies in striking a balance between epidemic prevention and economic development, contingent upon the correct identification of high-risk areas. This finding suggests that policy makers and public health departments need to balance policy effectiveness with interventions in economic activities in order to increase the resilience of urban economies during the pandemic.
Be-detection by FTIR on corundum: A preliminary report

In mid-2001 Be-diffusion for corundum was first reported, when suddenly an unusually large number of Padparadscha coloured sapphires appeared in the market (Hanni & Pettke, 2002). Ever since, gemmological laboratories were confronted with the challenging task of detecting Be in corundum. Be however is a very light element and therefore not detectable by conventional ED-XRF trace-element analysis. New analytical methods had to be found in order to detect Be in gemstones, which potentially had been diffusion treated. Soon LA-ICP-MS (Guillong & Gunther, 2002; Abduriyim & Kitawaki, 2006) and LIBS (Krzemnicki et al., 2004; Krzemnicki et al., 2007) where introduced to the field of gemmology.
MODELLING E-LEARNING ACCEPTANCE OF CLINICAL STAFF USING THE GENERAL EXTENDED TECHNOLOGY ACCEPTANCE MODEL FOR E-LEARNING

Companies still increasingly rely on online training to train employees continuously, effectively, and efficiently. The intention of employees in using e-learning, however, is influenced by various factors. In this study, the influence of external factors on the acceptance of online training was examined in an operational context according to the General Extended Technology Acceptance Model for E-Learning. In this model, computer experience, computer self-efficacy, computer anxiety, perceived enjoyment, and subjective norm were included as important external factors that have been shown to be relevant in numerous empirical studies. In operational contexts, few studies to date have investigated the acceptance model and even less in Europe or Germany. To investigate the influence of external factors, data of 113 employees from a medical institution were collected after participation in an online training course by means of an online questionnaire and were evaluated by regression analyses. The predictors computer experience, perceived enjoyment, and subjective norm were the strongest predictors of perceived usefulness (R 2 = 0.59 of the complete model). The perceived ease of use was best explained by the factors computer experience, computer self-efficacy, computer anxiety, and enjoyment (R 2 = 0.43 of the complete model). The attitude towards using e-learning and the intention to use e-learning in this study were mainly influenced by perceived usefulness (R 2 = 0.67 and R 2 = 0.59 of the complete models, together with perceived ease of use). Overall, the acceptance model was largely confirmed in this study.
Attribute-Obfuscating Attack to Protect User Privacy on Social Networks

As social networks become indispensable for people’s daily lives, inference attacks pose signiﬁcant threat to users’ privacy where attackers can inﬁltrate users’ information and infer their private attributes. In particular, social networks are represented as graph-structured data, maintaining rich user activities and complex relationships among them. This enables attackers to deploy state-of-the-art graph neural networks (GNNs) to automate attribute inference attacks for users’ privacy disclosure. To address this challenge, in this paper, we leverage the vulnerability of GNNs to adversarial attacks, and propose a new graph adversarial method, called Attribute-Obfuscating Attack (AttrOBF) to mislead GNNs into misclassiﬁcation and thus protect user attribute privacy against GNN-based inference attacks on social networks. Diﬀerent from the prior attacks using perturbations on graph structure or node features, AttrOBF provides a more practical formulation by obfuscating optimal training user attribute values, and also advances the attribute obfuscation by solving the unavailability issue of test attribute annotations, black-box setting, bi-level optimization, and non-diﬀerentiable obfuscating operation. We demonstrate the eﬀectiveness of AttrOBF on user attribute obfuscation by extensive experiments over three real-world social network datasets. We believe our work yields great potential of applying adversarial attacks to attribute protection on social networks.