Miracle-dz/UniFAR-FTUs huggingface dataset:
Local Structure of Ferrihydrite and Feroxyhite by Exafs Spectroscopy

Abstract Synthetic 2-line and 6-line ferrihydrite and feroxyhite samples prepared from ferric salt solutions have been investigated by EXAFS spectroscopy. All these materials have been found to be short-range ordered, consisting of Fe octahedra linked by comers, edges, and faces. Their local structures are related to those of well-crystallized (oxyhydr)oxides, and the absence of hkl reflections in some samples is attributed to the small size of coherent scattering domains. The presence of face sharings indicates that these materials have structural similarities with hematite. Based on Fe-Fe distances and the analysis of the static disorder, it has been concluded that the local structure of feroxyhite is close to that of hematite, whereas ferrihydrite has common structural features with both hematite (αFe203) and cdβFeOOFI. The local structure of ferrihydrite thus differs from that of aqueous Fe polymers obtained by the partial hydrolysis of ferric nitrate and chloride solutions. Differences of local structures among hydrous Fe oxides and aqueous polymers have been interpreted on the basis of a room temperature stability phase diagram established for well-crystallized (oxyhydr)oxides.
Preparation of nitrogen-doped titania with high visible light induced photocatalytic activity by mechanochemical reaction of titania and hexamethylenetetramine

Nitrogen-doped yellowish rutile titania was prepared by a mechanochemical method. The samples were prepared by high-energy ball milling of a P-25 titania powder with various amounts of hexamethylenetetramine (HMT) under different milling conditions at around room temperature. The effects of the reaction conditions on the phase composition, particle size, specific surface area, amount of nitrogen-doping, microstructure and photocatalysis of nitrogen monoxide destruction were investigated in detail. The high mechanical energy accelerated the transformation of the phase from anatase to rutile, while the presence of HMT decreased the phase transformation. Residual HMT and by-products could be removed by post-milling calcination in air at 400 °C. The nitrogen-doped yellowish titania possessed two absorption edges at around 400 and 550 nm and showed excellent photocatalytic ability for nitrogen monoxide oxidation under visible light irradiation. Irradiation with visible light of wavelength >510 nm allowed nearly 37% nitrogen monoxide to be continuously removed by the nitrogen-doped titania prepared by planetary ball milling of a P-25 titania–10 wt% HMT mixture at 700 rpm for 120 min followed by calcination in air at 400 °C.
Let's Talk! Striking Up Conversations via Conversational Visual Question Generation

An engaging and provocative question can open up a great conversation. In this work, we explore a novel scenario: a conversation agent views a set of the user’s photos (for ex- ample, from social media platforms) and asks an engaging question to initiate a conversation with the user. The existing vision-to-question models mostly generate tedious and obvious questions, which might not be ideals conversa- tion starters. This paper introduces a two-phase framework that ﬁrst generates a visual story for the photo set and then uses the story to produce an interesting question. The human evaluation shows that our framework generates more response-provoking questions for starting conversations than other vision-to-question baselines.
Effects of combined ethanol extract of Funtumia africana and Abutilon mauritianum leaves on prostate biomarkers and serum mineral levels in prostatic hyperplasia induced male rats

Introduction: Benign prostatic hyperplasia (BPH) is a prostate disorder in ageing males that negatively affects the quality of life and requires multidimensional approaches to ameliorate its adverse health effects. Objectives: This study evaluated the effects of combined ethanol extract of Funtumia africana and Abutilon mauritianum leaves on the prostate biomarkers, serum mineral levels and prostate histomorphology of BPH induced rats. Materials and Methods: Thirty-six male Wistar albino rats randomly distributed into 5 groups containing 6 rats each was used for this study. Group 1 served as the normal control rats without BPH induction while groups 2–5 were BPH induced rats that served as BPH control (untreated), finasteride control, and BPH induced treated with 200 and 600 mg/kg/d of the combined ethanol extract of F. africana and A. mauritianum leaves respectively. BPH was induced in the rats by subcutaneous injection of 5 mg/kg/d of testosterone propionate injection and treatment followed 1h after the induction for 28 consecutive days. All the biochemical analyses and prostate histological examinations were carried out using standard methods. Results: BPH induction significantly elevated serum prostatic acid phosphatase activities and serum prostate-specific antigen (PSA) concentrations in the BPH control rats relative to the normal control. The BPH induction caused significant (P<0.05) reductions in the serum levels of calcium and selenium levels and significantly increased the serum inorganic phosphate concentration in the BPH control when compared with the normal control. Treatment with the combined extract significantly (P<0.05) increased the serum zinc, calcium, copper, iron and inorganic phosphate and significantly reduced serum selenium level when compared with the BPH control. The combined extract further significant (P<0.0) reduced the serum prostatic acid phosphatase activities and PSA level relative to the BPH control. The BPH control showed severe prostate histomorphological alterations consistent with BPH which were largely reduced to mild alterations in combined extract-treated BPH induced rats. Conclusion: This study revealed that the combined ethanol extract of F. africana and A. mauritianum leaves positively regulate the serum mineral levels, serum prostatic acid phosphatase activities, PSA levels and improves prostate histomorphology BPH induced rats.
Sequence analysis of the Hex A gene in Jacob sheep from Bulgaria

Background and Aim: Jacob sheep are a rare ancient breed of sheep believed to have originated from the Mediterranean area but which are now kept throughout the world. These sheep have recently attracted medical interest due to the observation of a genetic disorder in the breed that can be used as an animal model of Tay–Sachs disease (TSD). This study aims to detect mutations in the Hexosaminidase A gene in Jacob sheep based on sequence analysis of the 284-bp fragment situated between exon 11 and intron 11 of the gene, a target sequence for site-specific mutation. This is the first study that has investigated Jacob sheep in Bulgaria for gene-specific mutations. Materials and Methods: A total of 20 blood samples were collected from Jacob sheep from the Rhodope Mountains. DNA was isolated from these samples, and a specific 284-bp fragment was amplified. The amplified products were purified using a polymerase chain reaction purification kit and sequenced in both directions. Results: Target sequences were successfully amplified from all 20 investigated sheep. Sequence analysis did not show the homozygous, recessive, missense (G-to-C transition) mutation at nucleotide position 1330 (G1330→C) in exon 11, demonstrating that all of these sheep were a normal genotype (wild-type). Conclusion: Jacob sheep are considered a potentially useful animal model in advancing the understanding of pathogenesis and developing potential therapies for orphan diseases, such as those characterized by mutant GM2 gangliosides. The clinical and biochemical features of the Jacob sheep model of TSD represent well the human classical late-infantile form of this disorder, indicating that the model can serve as a possible new research tool for further study of the pathogenesis and treatment of TSD.
Nguyen Locating and Sizing of Storage for Wind Integration

119 Abstract— In this paper, a two-step approach is presented for placing and sizing storage systems in a grid with high wind integration. The first step in this approach is to select candidate locations for the storage devices based on Lagrangian multipliers. The second step is applying a Genetic Algorithm (GA) – based OPF to find their optimal placement and capacities while optimizing the operation of storage systems in supporting wind generation. This approach is tested on the IEEE 118-bus system. The test system is modified to take into account network congestion with the incorporation of wind and storage systems. The results obtained indicate that the installed storage systems are efficiently employed to accommodate wind farms in supplying loads in a system with transmission congestion. The main contribution of the paper is to present an efficient approach, which combines two steps to reduce the computational burden, for optimal siting and sizing of storage devices in power systems, especially large ones.
The Indirect Effect of Computer Self-Efficacy of E-Commerce Users on Intention to Use

Indonesia's E-commerce market has tremendous growth and is predicted to become a significant contributor to Foreign Direct Investment. Millennials, profoundly affected by technology and the Internet, are considered the driver's growth of e-commerce. Applying the modified Technology Acceptance Model (TAM) theory, this research analyzes whether perceived ease of use and perceived usefulness mediate the impact of computer self-efficacy on e-commerce users' behavior to use the Lazada platform. The study was a quantitative study with an online questionnaire. Structural Equation Modelling analyzed 200 respondents' data, and the result shows that computer self-efficacy indirectly affects behavioral intention to use through perceived ease of use. Perceived usefulness and attitude towards use are not significant mediators because of their insignificance on their intention. Computer self-efficacy significantly impacts behavioral intention mediated by perceived ease of use, but not by perceived usefulness.
Depolymerization of Fucoidan by Contact Glow Discharge Electrolysis(CGDE)

Contact glow discharge electrolysis(CGDE) is an unconventional electrolysis where plasma is sustained by D.C. glow discharge between an electrode and the surface of electrolyte surrounding it at high voltage. In this study, the behavior of CGDE in NaCl solution and the depolymerization of fucoidan by CGDE were investigated. After onset of CGDE, increase of voltage enhanced Glow discharge which resulted in low current density and low temperature in NaCl electrolyte. From the variation of molecular weight of fucoidan with the reaction time, it was demonstrated that the deg- radation of fucoidan followed a first-order rate law. Molecular weight of fucoidan treated with CGDE was about 40 times lower compared to initial fucoidan without content decrease of sulfate and fucos.
Using different Research Paradigms to test Self-Directed Learning readiness in 4

Self-directed learning is a concept introduced by Malcolm Knowles in 1975. Key to this concept is moving the responsibility of learning away from the teacher to the learner. The learner should take control of the learning experience and the teacher should only facilitate this process. However, selfdirectedness in a learner develops in stages. Learners need to be guided to become more self-directed over time. In order to guide learners the lecturer or facilitator should understand the level of self-directedness also referred to as the readiness for self-directed learning of the students. This paper reports on the process of understanding the readiness for self-directed learning of 4 year Information Systems students. Methods representing the positivistic and interpretive research paradigms are applied and compared to achieve this goal.
IOT based solution for level detection using CNN and OpenCV

Internet of Things (IoT) is currently an emerging trend in the industry and is proving to be the driving force in the field of research and development. Due to a growing demand in industries for a cloud-based solution and easy integration with existing hardware devices, IoT has become a popular choice among all verticals of industry: Engineering, Manufacturing, Accounts, Supply Chain and many more. This paper was a result of a project whose requirement was realtime detection for liquid levels in a chemical plants using a wireless GoPro Camera. The most obvious choice was OpenCV, and this would have been the most common solution. But a complete IOT based solution is proposed that would not only detect level but will also provide additional features like cloud storage, alert messages and Convolutional Neural Network (CNN) based level corrections.
Near-Infrared ( NIR ) Spectroscopy

Assessing pain Detecting carotid or coronary vulnerable plaques Detecting traumatic intracranial hematoma/traumatic brain injury Evaluating anesthetic depth Evaluating autism spectrum disorder Evaluating gait disorders Evaluating lower extremity wounds/predicting wound healing (e.g., for measurement of oxy-hemoglobin) Evaluating mitochondrial disorder Evaluating psychiatric disorders (e.g., bipolar disorder depression, dysthymic disorder, major depressive disorder, obsessive compulsive disorder, panic disorder, psychotic disorder, schizophrenia, and social anxiety disorder) Evaluating risk of developing post-operative deep vein thrombosis Guiding peripheral intravenous catheterization Intra-operative localization, lymph node sampling, and margin assessment of lung cancer Last Review
Efficient fabrication of polymer nanoparticles via sonogashira cross-linking of linear polymers in dilute solution

The synthesis of single-chain nanoparticles by palladium-catalyzed Sonogashira coupling between a terminal alkyne and a di-halo aryl cross-linker is reported. Statistical copolymers with trimethylsilyl protected alkyne groups pendent to the linear methacrylate back bones were synthesized using reversible addition-fragmentation chain transfer polymerization post polymerization de-protection providing terminal alkyne functionalized linear polymer chains. These linear polymer chains were intramolecularly cross-linked via bifunctional cross-linkers. The resulting well-defined covalently bonded nanoparticles were characterized via triple-detection size exclusion chromatography where MALS detector provided molecular weight information and viscometric detection characterizes particle size and conformations. The particle size could be readily tuned through polymer molecular weight and by degree of cross-linking. © 2015 Wiley Periodicals.
DETERMINANTS OF COMPETITIVENESS OF FIRMS

As competitiveness increases, its definition more and more broadly enters such domains as economics and management. The success of a firm, under conditions of a very fierce competition, depends (to greater and greater extent) on its strategy of competitiveness. Good strategy is based on thorough analyses of factors, which are main sources of competitive advantage, thorough analyses of competitors and coordinated competitive actions taken on many markets. The analysis of factors and mechanisms that form competitiveness of firms plays a crucial role as well.
Using Communication Networks to Predict Team Performance in Massively Multiplayer Online Games

Virtual teams are becoming increasingly important. Since they are digital in nature, their “trace data” enable a broad set of new research opportunities. Online Games are especially useful for studying social behavior patterns of collaborative teams. In our study we used longitudinal data from the Massively Multiplayer Online Game (MMOG) Travian collected over a 12-month period that included 4,753 teams with 18,056 individuals and their communication networks. For predicting team performance, we selected 13 SNA-based attributes frequently used in team and leadership research. Using machine learning algorithms, the added explanatory power derived from the patterns of the communication networks enabled us to achieve an adjusted R2 = 0.67 in the best fitting performance prediction model and a prediction accuracy of up to 95.3% in the classification of top performing teams.
Personalized PseudoPatient for patient-specific plan verification in advanced radiotherapy applications

The wide use of stereotactic radiosurgery (SRS), intensity modulated radiation therapy (IMRT) and volumetric modulated arc therapy (VMAT) treatment approaches for the management of a variety of brain lesions, has resulted in safer treatments and a better quality of life for patients than ever before [1]. Contemporary single-isocenter linac-based SRS is an effective first-line treatment for patients with brain metastases, compared to whole brain radiotherapy[2,3]. At the same time, treatment planning and dose delivery are becoming ever more customizable to individual patients[4]. Plans characterized by high levels of conformity and steep dose gradients from the periphery of the target to surrounding tissue are created, using a single isocenter and non-coplanar arcs[5]. Such complex treatments and the consequences of errors when delivering high-dose fractions of radiation just millimeters beyond their intended site, can have a farreaching physiological impact[6]. Therefore, the need for pre-treatment dose verification in the actual patient’s anatomy in order to minimize the possibility of unintended exposure, which can compromise tumor control probability (TCP) and normal tissue complication probability (NTCP) treatment objectives [7,8], is never more critical.
Partial pulpotomy on permanent molar with BiodentineTM

Traumatology in pediatric dentistry is an important issue due to the early eruption of the permanent dentition and its consequences. Trauma in pediatric dentistry often involves permanent tooth and the treatment needs to be carefully selected by the clinician. There are several factors that are determinant in the prognosis and/or success of the treatment, such as duration of pulpal exposure, irreversible pulpitis signs, root development and the clinical scenario. (1,2) The objective of this article is to present a trauma case in which a permanent lower incisor is involved. Based on the radiographic analysis and the anamnesis we decided to perform a partial pulpotomy. The biomaterial used was BiodentineTM and the tooth fragment was reattached. This is a 13-month partial pulpotomy follow-up.
Analysis of Structural Pattern of Road Access Network in Villages Exporting Agricultural Crops (Case Study: Maragheh City)

Purpose: Networks are studied and analyzed in two structural and functional aspects. Within this framework, the structural characteristics of networks are the result of their physical representation and independence of their use. Hence, the structural analysis of the road network enables us to generate semantic information (concerning village dynamics) and enrich useful spatial data. The topology or geometrical characteristics of the network can be analyzed through some algorithms of graph theory. The present research was conducted to analyze the structural pattern of rural road access network based on apple crop and export relationships in Maragheh. Methods: Research data were collected from 43 sample villages and 12 cold stores of agricultural crops (located in some villages) receiving apple crops from other villages. Data were analyzed using the network analysis method through UCINET.6 software. Results: The results showed that the access network in the study area had a star network pattern and among the studied villages, Gol village had a higher concentration compared to other villages. Conclusion: Concentration of storage equipment and storage of agricultural products such as cold storage in some villages and also the relatively good condition of access roads to these villages has increased the centrality of the above villages and the formation of a star pattern in the access network of the region. This has led to reduced access and isolation of villages far from the center of the network and thus reduced the incentive to produce in these villages. Therefore, considering the effect that the type of road network model has on the ease of access, distance and cost of villagers' access to services, especially services related to the type of rural products such as warehouses and cold storages of agricultural products, Therefore, it is recommended to provide a link among the villages through clustering to facilitate the access of villagers to the cold stores and save their cost, time, and distance.
Methodological Challenges and Advances in Managerial and Organizational Cognition Neuroscience Methods: A Framework for Managerial and Organizational Cognition

In light of the growing interest in neuroscience within the managerial and organizational cognition (MOC) scholarly domain at large, this chapter advances current knowledge on core neuroscience methods. It does so by building on the theoretical analysis put forward by Healey and Hodgkinson (2014, 2015), and by offering a thorough – yet accessible – methodological framework for a better understanding of key cognitive and social neuroscience methods. Classifying neuroscience methods based on their degree of resolution, functionality, and anatomical focus, the chapter outlines their features, practicalities, advantages and disadvantages. Specifically, it focuses on functional magnetic resonance CHAPTER
Analysis of instagram profiles found through inscriptions on the walls of the In – Patient Adolescent Psychiatry Unit at the University Hospital in Kraków, Poland

Summary Aim of the study: Adolescents are increasingly active in social media: 72% use Instagram while as many as a quarter suffer from at least one mental disorder, Internet users among them. A number of studies confirm-ing the mutual influence of social media and mental health have been conducted but there is a shortage of data on the Internet activity of people suffering from mental disorders. This study aims at extending the exist-ing knowledge by analyzing Instagram accounts of adolescent psychiatric in-patients. Material and Methods: We analyzed the contents of Instagram accounts, links to 36 of which were hidden in graffiti drawn by patients on the walls of an inpatient adolescent psychiatric ward. After excluding inactive and nonexistent accounts, 21 addresses were analyzed with respect to the number and content of published posts and comments left under them. Results: 90% of the accounts belonged to girls. 52% revealed the owner’s identity. The posts were mainly depressive, which correlated with the psychopathology of the patients. The comments differed in number and in character depending on the content of the post: replies to posts related to body image were mainly supportive, while comments on posts related to self-harm mainly expressed sympathy. Discussion: Most of the analyzed Instagram posts are related to the typical psychopathology of the patients hospitalized on our ward. In addition, it is also similar to negative effects that social media may have on mental health. Conclusions: The association found in the study show that conducting further research on social media use by psychiatric patients may be clinically important.