Miracle-dz/UniFAR-FTUs huggingface dataset:
Voltammetric, EPR and UV–VIS–NIR spectroscopic studies associated with the one-electron oxidation of C60 and C70 in 1,1′,2,2′-tetrachloroethane containing trifluoromethanesulfonic acid

Cyclic voltammetry experiments performed at a scan rate of 100 mV s−1 on C60 and C70 in 1,1′,2,2′-tetrachloroethane (TCE) containing 1–10% (v/v) CF3SO3H and 0.5 M Bu4NPF6 indicated one-electron chemically reversible processes at 1.26 V (C60) and 1.21 V (C70) s. ferrocene/ferrocinium, suggesting the formation of persistent C60•+ and C70•+ cations. The addition of CF3SO3H to the TCE solutions had an immediate positive influence on the ability to observe a one-electron oxidation process for the fullerenes, thereby indicating that the presence of acid aided the longevity of the cation radicals in a non-ultra-dry solvent. Solution phase UV–VIS–NIR spectra were obtained by the one-electron oxidation of C60 in an optically transparent thin layer electrochemical cell at 233 K in TCE containing 5–10% CF3SO3H (0.5 M Bu4NPF6). The series of UV–VIS–NIR spectra showed several isosbestic points indicating stability of the oxidised compound over the time-frame of the experiment (3–4 h) and characteristic NIR bands associated with C60•+ were detected at 10170 cm−1 (e = 11000 L cm−1 mol−1) and 11820 cm−1 (e = 3500 L cm−1 mol−1) in addition to a less intense band at 8950 cm−1 (e = 750 L cm−1 mol−1) (with a shoulder at ∽7500 cm−1). Solutions of C60 were bulk electrochemically oxidised by one-electron in a controlled potential electrolysis cell at 233 K in TCE/CF3SO3H and then transferred under vacuum into an EPR tube and immediately frozen in liquid nitrogen. Cyclic voltammograms performed at the completion of the bulk one-electron oxidation indicated stability of the formed C60•+ under long-term electrolysis conditions (3–4 h at 233 K), although at higher temperatures and/or longer times decomposition occurred. Continuous wave X-band EPR spectra of frozen solutions of C60•+ at temperatures between 5 and ∽200 K showed one well-resolved rhombic shaped signal (gx = 2.0054, gy = 2.0030 and gz = 1.9995 at 133 K) that transformed into an isotropically shaped line at higher temperatures. The electrochemical and spectroscopic data obtained during the long term (hours) oxidation of C70 were more complicated than the C60 case and indicated instability of the C70•+ cation in the TCE/CF3SO3H media, even at low temperatures (T = 233 K).
Does Gender Diversity Affect the Environmental Performance of Banks?

Climate change is one of the greatest challenges facing humanity today. Therefore, all segments of society must act together to stop the deterioration of the planet and the depletion of its resources. The business sector must play an active role in acting responsibly toward the environment. Given the importance of this issue, major efforts have been made to analyze the environmental performance of the most polluting sectors. In contrast, other sectors that are also of great interest due to their contribution to sustainable development, such as the banking sector, have been overlooked. Notable factors conditioning performance include aspects of corporate governance such as gender diversity. However, the empirical evidence reveals a lack of consensus regarding the influence of women directors on corporate environmental performance. This background motivates the study of the commitment of the banking sector to reducing their environmental impact and the analysis the influence of board gender diversity on environmental performance. Data for the period 2009 to 2018 on 52 banks from the most polluting Western regions were studied using descriptive statistics and fixed effects econometric estimation to test the relationship between a selection of relevant variables. The key conclusions are that banks are committed to protecting the environment and that there are no significant differences between banks’ commitment to the planet on the basis of board gender diversity.
International Currency Translator using IoT for shopping

Now-a-days, there is a bar code or QR code reader that reads bar or QR code on the item and evaluates as a price. In the view of international passengers need, an app with integrated sensor to be built that caters needs of international customers or passengers. Especially, those passengers who would like to do shopping at air ports or intermediate cities, there this IoT based app will translate the one country’s money to another country’s money. Hence, the proposed IoT for translation of your currency into desired country currency without any intermediate brokers who will charge some percentage than the defined service charge of that country. This proposed Internet of Things (IoT) app is built by keeping international customer service into consideration and the yields many advantages such as accuracy without loss or profit, minimization of brokerage service charges, and transparency among the countries tax service rules. The proposed app with integrated sensor feeds the input amount into desired country’s currency by taking service rules of the country. The performance of this IoT is demonstrated in results and its working is sketched in the novel app. In this, GPS is used to take the location of the country to which the source currency to be translated.
Sentiment Analysis for Multi-Attribute Data in OSNs Using Hybrid Approach

Increasing popularity of social networks like LinkedIn, MySpace and other networks in present days. Communication is also increased in between users present in social networks. Large amount of data being move on social media because of increase data outsourcing. Sentiment analysis is impressive and interest concept for online social networks, while different types of existing methods to find sentiment in online social networks to define communication between different users to categorize patterns with respect to similar attributes to analyze large data. We present and suggest the Hybrid Machine Learning method in this paper. (which is combination of Balanced Window and Classification based on Parts of Speech) to handle outsourced data of social networks from Face Book and other blogging services are trained and then classify the relation based on emotional aspect like positive or negative and other relations in social streams. The performance of our proposed approach is to extensively close to machine learning and identify important relevant features randomly and perform sentiment analysis in different data streams. Our experimental results show exhaustive level of classification results with comparison of existing approaches in real time environment.
Chemical aging and the hydrophobic‐to‐hydrophilic conversion of carbonaceous aerosol

Laboratory experiments simulating chemical aging of carbonaceous aerosol by atmospheric oxidants demonstrate that oxidative processing increases their ability to activate as cloud droplets. A microphysical model shows, however, that the measured increase in hygroscopicity is insufficient to lead to efficient wet scavenging for sub‐100 nm particles that are typically emitted from combustion sources. The absence of an efficient atmospheric oxidation pathway for hydrophobic‐to‐hydrophilic conversion suggests that the fate of carbonaceous aerosol is instead controlled by its interaction with more hydrophilic species such as sulfates, nitrates, and secondary organic aerosol, leading to longer lifetimes, higher burdens, and greater contributions to climate forcing in the free troposphere than are currently estimated.
The Influense of Drying Methods on Essential Oil Content and Composition of Laurus nobilis L

Abstract Essential oils of the bay leaf are one of the main products of bay trees which are used in food, spice, flavoring and cosmetic industries. Drying is an important post-harvesting process and affects the content and the quality of bay leaf essential oils. In this study, the effect of different drying treatments including shade (25°C) and oven drying (30°C, 40°C and 50°C) on the essential oils content and composition of Laurus nobilis leaves were investigated. The essential oils are obtained by hydro-distillation extraction and for the analysis a capillary GC and GC-MS were used. Statistical analysis showed significant difference between oil yield (w/w) of the oven-dried at 40°C (1.47 %) and 30°C (1.41 %) compared to shade-dried sample (1.31 %), and oven-dried at 50°C (1.22 %) treatments. Twenty-eight components including 1,8-cineole (57.1 %-61.0 %), a-terpinyl acetate (8.6 %-10.6 %), sabinene (7.5 %-8.7 %), a-pinene (4.0 %-4.8 %), ß-pinene (4.1 %-4.6 %), a-terpineol (2.9 %-3.8 %) and y-terpineol (1.2 %-1.9 %) as main components were identified. Statistical analysis showed that the percentages of 1,8-cineole (61.0 %) and a-pinene (4.8 %) in the oil of oven-dried sample at 40°C were higher than the other treatments (a = 0.05). The results showed for obtaining the highest amount of oil yield and 1,8-cineole content from leaves of L. nobilis, the best drying method was oven-drying at 40°C.
High Speed and Low Power Error Recovery Approximate Multiplier for Image Processing Appliclations

In approximating, the requirement for accurate results is ignored because of some other applications with better performance in terms of area or delay. Multipliers are key arithmetic circuits in many of these applications including digital signal processing (DSP). Here in this paper we propose an approximate multiplier circuit with two various architectures where one is designed by modifying the design of the circuit by adding AND-OR logic approximation in the partial product generation stage and a dual quality adder at the final stage of the multiplication for error recovery. The other one is by adding the same AND-OR logic approximation in the partial product reduction stage where it is applied tow only least significant part and accurate adders are used in the remaining for final outcome. In addition, many errors make little noticeable variations in practice, for instance image processing owing to human perceptual restrictions. Error-tolerant algorithms and their utilization inspired the progress of inexact multipliers which trade-off between power efficiency, area and speed. The proposed approximate multipliers have been shown that both have a lower area and one with better accuracy and error recovery other with delay than an exact Wallace multiplier and existing approximate designs. Functional analysis has shown that on a statistical basis, the proposed multipliers have considerable error distances and thus, they achieve a high accuracy and better area. To show the effectiveness of the work we had implemented and image processing application with the help of Xilinx System generator. The total designs are done and implemented in Xilinx ISE 14.7 with Verilog HDL coding.
Physiological and Growth Responses to Pollutant-Induced Biochemical Changes in Plants: A Review

Industrial activities compromise the ambient air quality at a local, regional and global level through gaseous and dust emissions. This study reviews uptake mechanisms and the associated phytotoxicity of pollutants in plants, focusing on heavy metals and SO2. It further describes detoxification mechanisms and the resultant biochemical and physiological changes in plants. Finally, the morpho-physiological and growth responses to stress-induced biochemical changes are discussed. Heavy metals and SO2 enter the plant tissue through the stomata, cuticular layers, lenticels and root hairs. In the plant cells, SO2 converts to SO32- or SO42- ions upon reacting with water molecules, which in excess are toxic to plants. However, the detoxification process of SO32- increases the production of reactive oxygen species (ROS). ROS are toxic to plants and damages biomolecules such as lipids, proteins, carbohydrates and DNA. On the other hand, heavy metals, such as Cu and Fe catalyse the Fenton/Haber-Weiss reactions, breaking down H2O2 into OH•. Additionally, Pb and Zn inhibit the activities of ROS-detoxifying enzymes, while other heavy metals bind to cellular layers making them rigid, thereby reducing cell division. Therefore, pollutant toxicity in plants affects biochemical parameters damaging organic molecules and limiting cambial activity. Damaged biomolecules inhibit the plant's capacity to carry out physiological functions, such as photosynthesis, stomatal functions, transpiration and respiration while impaired cambial activity reduces cell division and elongation resulting in reduced plant growth and productivity.
Unexpected synthesis of novel O-ethyl-P-aryl-N-(thiophen-2-yl) phosphonamidothioates from ethyl 2-aminothiophene- 3-carboxylates and Lawesson's reagent

The reaction of ethyl 2-aminothiophene-3-carboxylates with a stoichiometric amount of Lawesson's reagent (LR) gave novel O-ethyl-P-aryl-N-(thiophen-2-yl) phosphonamidothioate derivatives rather than the expected thienothiazaphosphorines. A possible reaction mechanism, involving a carbonyl sulfide extrusion, is proposed. GRAPHICAL ABSTRACT
Photophysics of Organic Structures Doped with Nanoobjects: Optical Limiting, Switching and Laser Strength

Optical limiting of the nanoobjects doped organic electrooptical materials have been studied in the visible and near infrared spectral range. It has been shown that the organic materials with nanoobjects can be used as nonlinear absorbers to protect human eyes and technical devices from high laser irradiation. The systems have been treated at the wavelength of 532, 633, 805, 1047, 1064, 1080, 1315, and 2940 nm. As an additional, the switching parameters of nanoobjects-doped liquid crystal compounds and improvement in the laser strength of the materials used as substrates for limiters and switchers have been shown.
Extended x‐ray absorption fine structure of NaBr and Ge at high pressure

The x‐ray absorption spectra of Ge and of Br in NaBr have been measured to pressures of 52 and 21 kbars, respectively, in a boron carbide and diamond anvil cell in which pressure was measured via the ruby‐fluorescence technique. Although Bragg peaks from the diamond anvil reduced the accuracy, atomic spacings in both materials could be determined by extended x‐ray absorption fine‐structure (EXAFS) analysis. Changes in the nearest‐neighbor separations in NaBr, and Ge to at least 40 kbars, agreed with literature values, indicating that the EXAFS phase shifts are quite insensitive to such pressures. In addition the near‐edge peak positions in the NaBr spectra appeared to readily shift with pressure, which suggests that NaBr may be quite suitable as a pressure standard in future work of this type.
Plasma purification is associated with reduced inflammation factors and down-regulation of lipid metabolic and ER stress proteins in patients with hyperlipidemia

BackgroundHyperlipidaemia is a strong risk factor for arteriosclerosis and cardiovascular disease (CVD). Therapy with lipid-lowering drugs often results in many side effects. The aim of our study was to investigate the potential effects of non-drug therapy with double-filtration plasmapheresis (DFPP) on lipid metabolism-, endoplasmic reticulum (ER) stress- and apoptosis-related proteins in peripheral blood mononuclear cells (PBMCs) before and after lipid clearance in patients with hyperlipidaemia.MethodsThirty-five patients with hyperlipidaemia were selected for this study. Proteins related to lipid metabolism [CD36, proprotein convertase subtilisin/kexin type 9 (PCSK9) and LDL receptor], ER stress [glucose-regulated protein 78 (GRP78), C/EBP homoiogousprotein (CHOP), activating transcription factor 4 (ATF4), eukaryotic initiation factor 2 (EIF2a)] and apoptosis (Bcl-2, BAX, and Caspase-3) were assayed by western blot, reactive oxygen species (ROS) were measured by flow cytometry (FCM), and serum inflammatory factors were detected by ELISA.ResultsCompared with their pre-DFPP values, the values of most lipid metabolic parameters, such as cholesterol, triglycerides, LDL, lipoprotein a [Lp(a)] and small dense LDL cholesterol (sdLDL), were reduced after DFPP. DFPP was associated with the downregulation of proteins related to lipid metabolism, ER stress and apoptosis, which also resulted in decreased ROS and serum inflammatory factor release.ConclusionDFPP has lipid-lowering activity and can also regulate lipid metabolism-, ER stress- and apoptosis-related proteins in PBMCs and reduce the levels of inflammatory factors in patients with hyperlipidaemia (ClinicalTrials.gov number: NCT03491956).
STUDENT’S PERCEPTION ON MOBILE LEARNING: THE INFLUENCING FACTORS

Mobile learning has become the most popular way of transporting information and the number of users has been rapidly increasing all over the world. Most importantly, students, these days can be defined as members of the digital native or network generation, born in the digital era while interacting with digital technology since childhood. Mobile devices have gradually become more popular around the world. Due to their popularity, the education sector has considered mobile learning (M-learning) technologies as pedagogical tools for users to be able to use their devices for self-learning anytime and anywhere. Therefore, this study examines the factors affecting students’ perception of mobile learning. Several types of research show University professors are adopting mobile learning for discussion meetings in order to help students in academic learning and through effective connection and collaboration inside and outside the classroom. The theoretical foundations for this study are the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of Technology (UTAUT). A total of 200 respondents from a private university in Malaysia participated in this research. Samples were selected using convenience sampling and the respondents answered the questionnaire via Google form and paper and pencil method. A nominal scale and Five-point Likert scale was used to design the questions in the questionnaire. Data analysis methods used in this research were Descriptive Analysis, Reliability Analysis, and Multiple Regression Analysis. The data collected and also information in this research are highly beneficial and valuable to students, supervisors, academics, researchers, learning institutions, and the government as we are able to gauge and understand the factors influencing students’ perception of mobile learning. However, there are some limitations as this research does not reflect the actual student population in tertiary education in Malaysia and it only focuses on four variables i.e. performance expectancy, effort expectancy, social influence, and quality of service. There are several possibilities for future researches whereby one can focus more on other influencing factors such as pervasive technology usage, tech-savvy future generations, convenience, and many more.
Role of Hydroxide Groups in Hydroxyapatite Catalysts for the Oxidative Dehydrogenation of Alkanes

The oxidative dehydrogenation of propane on strontium hydroxyapatites (SrHAp) and the hydroxyapatite incorporated with cobalt cation (Co-SrHAp) were tested and related to H-D exchangeability of OH groups in those hydroxyapatites with D2O. With increasing Co2+ contents in those catalysts, the oxidative dehydrogenation of propane and H-D exchangeability of HO groups in those hydroxyapatites with D2O were enhanced. It is suggested that "oxygen-species" derived from the abstraction of hydrogen of OH groups directly contributes to the hydrogen abstraction from propane on those catalysts.
PEMBELAJARAN BERASASKAN SIMULASI DALAM PENGURUSAN BENCANA: APAKAH PERSEPSI PELAJAR SEPARA PERUBATAN?

Pembelajaran secara simulasi merupakan satu kaedah pengajaran yang efektif dan tidak asing lagi dalam pendidikan perubatan. Kaedah ini boleh meningkatkan kefahaman dan kompetensi pelajar melalui integrasi teori dan praktis dalam pengurusan pesakit termasuk pengurusan sesuatu bencana. Pengajaran simulasi dijalankan dengan mewujudkan senario yang kompleks sesuai dengan objektif pembelajaran yang ingin dicapai. Kajian ini dilakukan untuk mengenalpasti persepsi pelatih separa perubatan terhadap pembelajaran berasaskan simulasi dalam pengurusan bencana. Kaedah yang digunakan adalah tinjauan kajian keratan rentas dengan menggunakan borang kaji-selidik yang telah diedarkan kepada 110 responden iaitu 46 pelatih Diploma Pembantu Perubatan Seremban dan 64 pelatih Diploma Kejururawatan Kuala Pilah. Semua responden yang dipilih merupakan mereka yang telah terlibat dalam pembelajaran secara simulasi pengurusan bencana. Hasil kajian menunjukkan persepsi responden adalah amat positif iaitu 81.8% bersetuju simulasi dapat meningkatkan pengetahuan, dengan purata skor 3.90, 77.3% bersetuju simulasi dapat meningkatkan kemahiran dengan purata skor 3.87 dan 83.6% bersetuju simulasi dapat mengubah menjadi sikap positif dengan purata skor 3.90. Manakala ujian statistik chi-kuasa dua mendapati tidak terdapat hubungkait antara demografik dengan persepsi pelajar terhadap pembelajaran secara simulasi. Kesimpulannya, kaedah pembelajaran berasaskan simulasi dapat membantu dalam meningkatkan pengetahuan, kemahiran dan membawa kepada perubahan sikap yang positif. Selain itu kaedah ini boleh dipraktikkan kepada semua kategori pelajar termasuk usia yang berbeza
Reactive Behavior of Ferrihydrite and Aluminic Ferrihydrite Toward the Adsorption of Arsenate

ABSTRACT The adsorption of arsenate (As(V)) on “ferrihydrite” prepared by two different methods; “aluminic ferrihydrite” (Fe(III)/Al(III) molar ratio 1:1) and the stability of As(V) bearing materials were investigated. The parameters optimized for adsorption were pH, contact time, adsorbent and As(V) concentration. For leaching study four different leaching reagents (10 mg C/L dissolved organic matter, 0.1M phosphate, 0.1M citrate and 0.1M oxalate) were used. The kinetics of arsenic adsorption on both type of ferrihydrites were similar with an equilibrium time of 1h; whereas, in case of aluminic ferrihydrite the equilibrium time was 3h. For aluminic ferrihydrite, maximum adsorption was found at pH 6.0. Whereas, for ferrihydrites pH 7.0 was found to be the best for As(V) adsorption. The highest As(V) adsorption capacity was shown by aluminic ferrihydrite (21.8 mg/g), followed by ferrihydrite prepared by emulsion method and ferrihydrite prepared by ordinary method (14.9 and 9.8 mg/g, respectively). In case of As(V) extraction from the loaded materials, the pH had a significant effect. In all cases, except citrate for aluminic ferrihydrite, extraction decreased with increasing pH in the range 5.0–8.0. For oxalate the iron extraction and for citrate the aluminium extraction followed the same trend as that for arsenic as a function of pH, suggesting that dissolution of these metals and consequent release of the adsorbed arsenic is one of the main mechanisms for arsenic extraction. However, for phosphate and DOM, the As(V) extraction mechanism was competition between arsenic and those anions for adsorption sites.
Self-assembled fibers of a discotic phthalocyanine derivative : Internal structure, tailoring of geometry, and alignment by a direct current electric field

The self-assembly of discotic molecules of a metal-free alkoxy-substituted phthalocyanine derivative, 2,3,9,10,16,17,23,24-octakis(octyloxy)-29H,31H-phthalocyanine, in organic solvents was studied by optical microscopy, UV−vis spectroscopy, and scanning electron microscopy. These molecules self-assemble into fibers with well-defined internal structure and controlled external geometry on submicron length scales in dodecane solution. Spectroscopic evidence suggests a tilted molecular arrangement at low temperatures and a cofacial arrangement upon heating, which is consistent with the orthorhombic and ordered columnar hexagonal lattices for the solid or liquid crystalline mesophases of the neat material, respectively. At temperatures above the phase transition, molten side chains of the alkoxy-substituted phthalocyanine in a solvent with similar chemical structure facilitates the splitting of the fibers along their long axis into molecular fibers with characteristic diameters at the nanoscale. Strong interac.