Miracle-dz/UniFAR-FTUs huggingface dataset:
Integration Of Smart Grid And Blockchain

A majority of electricity consumed by humans comes from traditional power generators, that work on a centralised framework, distributing it through wires and grids. More than 80% of this electricity comes from fossil fuels, leading to large amounts of pollution, since it is carbon intensive. The distribution methods are inefficient as much energy is lost in transmission. This leads to it being expensive for the consumer, and makes them dependent on large corporations. A large percentage of the electricity bill goes towards paying off the investment in infrastructure needed to provide it. This model is clearly not sustainable. Furthermore, it is estimated that around 1.2 billion people live without access to safe electricity. This is primarily since electricity providers don’t deem building infrastructure for a remote or economically backward location as profitable enough, since they are unlikely to pay it back. Contrary to conventional system, our proposed framework will be focused at introducing the decentralised energy distribution and consumption using Blockchain. Many prior studies have been done to decentralise the energy distribution but due to security and trust scare the systems could not be fully adopted in the real setting. We take a look into the methodologies third parties can use to counter the security issues as well. However, by integrating blockchain into the existing smart grid architecture we open up the possibility of bypassing the tiring process of renewable certification, make a localised energy production a reality and detach the consumers from the dependency of central grid. To fully assimilate this environment with the end users we also discuss about the real time platform for prosumers and consumers to trade energy. At the end, we look at the costs, consumption and other attributes of three different community microgrids simu
Design and analysis of de-oiling coalescence hydrocyclone

ABSTRACT De-oiling hydrocyclones are extensively applied in oilfield wastewater purification for fluid separation, because of their efficient and rapid processing performance. However, it is difficult for a hydrocyclone to separate tiny oil droplets owing to the inadequate centrifugal force. A type of coalescence hydrocyclone (CHC) is designed based on the principle of centrifugal separation and hydraulic droplet collision coalescence. The structure, coalescence theory, and separation principle of the CHC are introduced. Based on the Euler–Euler method, the population balance model (PBM) is applied to a continuous equation to simulate the distributions of the velocities, oil volume fraction, and oil droplet size in the CHC. The simulation method is verified by conducting particle image velocimetry tests in a polymethyl methacrylate hydrocyclone. The results indicate that the CHC can improve the separation performance by enlarging the oil droplet size by collision coalescence before entering the hydrocyclone. The results of separation efficiency experiment indicate that the CHC can not only improve the oil–water separation efficiency but also clearly enhance the processing capability. The optimal inlet flow rate is 5.5 m3·h-1 and the split ratio is 25%. The feasibility of the structure design and the reliability of the separation performance are validated by experiments.
Forecasting the old‐age dependency ratio to determine a sustainable pension age

We forecast the old‐age dependency ratio for Australia under various pension age proposals, and estimate a pension age scheme that will provide a stable old‐age dependency ratio at a specified level. Our approach involves a stochastic population forecasting method based on coherent functional data models for mortality, fertility and net migration, which we use to simulate the future age‐structure of the population. Our results suggest that the Australian pension age should be increased to 68 by 2030, 69 by 2036 and 70 by 2050, in order to maintain the old‐age dependency ratio at 23%, just above the 2018 level. Our general approach can easily be extended to other target levels of the old‐age dependency ratio and to other countries.
How Online Trust and Online Brand Equity Translate Online- and Omni-Channel-Specific Instruments into Repurchase Intentions

This study examines omni-channel retailers’ online activities, which previous brick-and-mortar firms’ find challenging, but they are increasingly competing with online players. Therefore, the role of major online-specific instruments such as online aesthetic appeal and omni-channel-specific instruments such as online-offline integration is studied. A framework is proposed in which online trust, as a key mediator in online studies, translates instruments into repurchase intentions. However, the authors also study online brand equity, believing in its strength for repurchasing in competing, reciprocal mediation. They test indirect effects of the instruments in a sequential mediation study and reciprocal effects of trust and brand equity in a cross-lagged panel study based on longitudinal data of consumer evaluations of fashion retailers. Importantly, cross-channel repurchase intention is differentiated. The results provide new empirical evidence of a different relative importance of the instruments and of online trust versus online brand equity. The findings have direct implications for managers interested in understanding which instruments most affect consumer outcomes.
A critical discourse analysis on Jokowi and Prabowo’s tweets during 2019 presidential election

This paper aims to present critical discourse analysis on Jokowi and Prabowo's tweets during the 2019 presidential election. This paper will focus on critical discourse analysis, especially on the discourse structure of Jokowi and Prabowo's tweets and the communication strategies used by Jokowi and Prabowo during the presidential election. This research uses qualitative methods. The data obtained by the researcher comes from tweets written by Jokowi and Prabowo during the 2019 presidential election campaign. The data collection method used is the observation method by observing Jokowi and Prabowo's Twitter accounts. After collecting the data, the researcher classified the discourse structure using Van Dijk's discourse analysis concept in Jokowi and Prabowo's Tweets. The results of this study found elements of macrostructure (theme), superstructure (scheme), and microstructure consisting of semantic elements (background, detail, intention, presupposition), syntax (sentence form, coherence, conditional coherence, distinguish coherence, disavowal, pronoun), stylistic elements (lexicon) and rhetorical elements (graphology and metaphor) in tweets written by Jokowi and Prabowo. Furthermore, Jokowi and Prabowo used strategic communication campaign stage 3, "Pramodel," during the presidential election. Joko Widodo used photos and videos of his story; meanwhile, Prabowo Subianto had much interaction with his Twitter followers.
The Role of Oxidant-Antioxidant Status in Suicide Behavior in Kurdish Ethnicity

Introduction: Oxidative stress plays a critical role in the pathogenesis of neurodegenerative and neuropsychiatric disorders. However, its role in suicidal behavior has not been clarified yet. Consequently, we aimed to evaluate the oxidant-antioxidant status in the serum of suicide attempters in Ilam city. Methods: Fifty suicide attempters and 40 control subjects (volunteers) aged 18–35 years were studied in the current experiment. To consider the oxidant-antioxidant status, serum levels of Malondialdehyde (MDA), Nitric Oxide (NO), Superoxide Dismutase (SOD), and the Total Antioxidant Capacity (TAC) were measured. Results: Serum levels of SOD and TAC were significantly lower in the suicide attempters group compared to the controls. Furthermore, serum NO level was significantly higher in the suicide attempters compared to the control groups. Interestingly, the serum level of MDA was significantly lower in the suicide attempters compared to the control groups. Conclusion: The oxidative stress without MDA elevation, detected in suicide attempters, can be considered a biochemical hallmark in suicide behavior.
Antibody-Conjugated Magnetic Beads For Sperm Sexing By A Multi-Wall Carbon Nanotube Microfluidic Device

Bull production industries demand specific sexual bulls in response to different business productivity requirements. Therefore, sexual separation of sperm is essential for the livestock industry, increasing the demand for assisted reproductive technologies (ARTs). A popular sexual separation method in ART is monoclonal antibody enhancement, which does not affect the quality of the sperm and has specificity with high sexual separation accuracy. Moreover, microfluidic technique is an innovative tool for sperm separation, with increased installation efficiency and convenience but low accuracy and speed of detection. In this study, particles were separated using magnetic beads, magnetic beads on monoclonal antibodies, and sperm with the function of magnetic beads on monoclonal antibodies by controlling the microfluidic system fluid flow rate at 2 µL/min and releasing a 2.5-V electric field. This microfluidic device separated 100% and 95.42% of the magnetic beads and magnetic beads on monoclonal antibodies, respectively. The sperm separation test results showed that positively charged sperm Y moved to the negative electrical fluid channel with a specially designed multi-walled carbon nanotube microfluidic device that showed an X- and Y-sperm separation with a success rate of 80.12%. Compared with natural pregnancy (X- and Y-sperm ration 50:50, 50%), our proposed method is approximately 30.12% better.
Assessing rice lodging using UAV visible and multispectral image

ABSTRACT Rice lodging may result in serious yield loss. Manual in-situ assessments of lodging are inefficient and inaccurate. Therefore, this paper explores the potential of unmanned aerial vehicle (UAV) image in evaluating rice lodging. Multispectral and red–green–blue (RGB) cameras mounted on UAV platforms were used to acquire images of two rice paddies in Shanghai, China. The image features of non-lodged and lodged rice, including their spectral reflectance, vegetation indices, texture, and colour, were extracted and analysed to optimize the indicators for lodging detection. Rice lodging detection models based on the selected image features were built to discriminate between non-lodged and lodged rice. Results revealed that the reflectances at the green and red-edge bands are the most common optimal indicators of lodged rice in the multispectral images. Moreover, the mean texture of the green channel and lightness value were determined to be the optimal indicators of rice lodging in the RGB image. The accuracies of the proposed lodging detection models exceeded 90%, and the multispectral lodging detection model was proved to be more accurate than the corresponding RGB model. Our results confirm that UAV-based remote sensing can play an important role in assessing rice lodging.
A Study of V2V Communication on VANET: Characteristic, Challenges and Research Trends

Vehicle to Vehicle (V2V) communication is a specific type of communication on Vehicular Ad Hoc Network (VANET) that attracts the great interest of researchers, industries, and government attention in due to its essential application to improve safety driving purposes for the next generation of vehicles. Our paper is a systematic study of V2V communication in VANET that cover the particular research issue, and trends from the recent works of literature. We begin the article with a brief V2V communication concept and the V2V application to safety purposes and non-safety purposes; then, we analyze several problems of V2V communication for VANET related to safety issues and non-safety issues. Next, we provide the trends of the V2V communication application for VANET. Finally, provide SWOT analysis as a discussion to identify opportunities and challenges of V2V communication for VANET in the future. The paper does not include a technical explanation. Still, the article describes the general perspective of VANET to the reader, especially for the beginner reader, who intends to learn about the topic.
Malignant Peritoneal Mesothelioma Interactome with 417 Novel Protein-Protein Interactions

Malignant peritoneal mesothelioma (MPeM) is an aggressive cancer affecting the peritoneal lining of the abdominal cavity and intra-abdominal organs, with a median survival of ~2.5 years. We constructed an ‘MPeM interactome’ with over 400 computationally predicted protein-protein interactions (PPIs) and over 4,700 known PPIs of 59 literature-curated genes whose activity affects MPeM. Known PPIs of the 59 MPeM-associated genes were derived from BioGRID and HPRD databases. Novel PPIs were predicted by applying the HiPPIP algorithm, which computes features of protein pairs such as cellular localization, molecular function, biological process membership, genomic location of the gene, and gene expression in microarray experiments, and classifies the pairwise features as interacting or non-interacting based on a random forest model. 75.6% of the interactome and 65% of the novel interactors in it were supported by transcriptomic evidence in rodent and human peritoneal mesothelioma/mesothelial cell lines and tumor specimens. 152 drugs targeted 427 proteins in the MPeM interactome. Comparative transcriptome analysis of peritoneal mesothelioma-associated versus drug-induced gene expression profiles revealed 39 repurposable drugs, out of which 29 were effective against peritoneal/pleural mesothelioma and/or peritoneal metastasis/primary peritoneal cancer in clinical trials, animal models or cell lines. Functional modules of chromosomal segregation, transcriptional deregulation, positive regulation of IL-6 production and hematopoiesis were identified from the interactome. Genes with tissue-specific expression in 2 sites of extramedullary hematopoiesis (spleen and thymus) and those correlated with unfavorable prognosis in liver, renal, pancreatic and lung cancers were noted. MPeM interactome showed extensive overlap with the malignant pleural mesothelioma (MPM) interactome and MPM cell line expression profiles. Our findings demonstrate the utility of the MPeM interactome in discovering systems-level functional links among MPeM genes and generating clinically translatable results such as repurposed drugs.
STRUCTURE AND EVOLUTION OF THE TEREK‐CASPIAN FOLD‐AND‐THRUST BELT: NEW INSIGHTS FROM REGIONAL SEISMIC DATA

The Terek‐Caspian fold‐and‐thrust belt along the northern flank of the Greater Caucasus Mountain Range together with the adjacent foreland basin is one of the oldest oil‐producing regions in Russia. Despite the long history of exploration, recently acquired seismic data has provided new insights about the structural architecture and evolution of this area. Its structural development during the Neogene was constrained by a syn‐extensional tectonic fabric inherited from Jurassic rifting and extension of the Great Caucasus Basin. The structural framework of this basin controlled the distribution of syn‐extensional deposits, and the Cenozoic reactivation of lateral ramps resulted in along‐strike variations in structural style. Thus western, central and SE segments of the Terek‐Caspian foldbelt are recognised and are referred to here as the Terek‐Sunzha fold zone, the Dagestan Promontory, and the Maritime Zone in southern Dagestan.
Pathological Effects of Cadmium and Efficiency of Natural Zeolite, Clinoptilolite, to Reduce the Cadmium Toxicity in Common Carp and its Ability to Remove Cadmium from Contaminated Water

| Tissue changes in common carp, Cyprinus carpio weighing 700g following 15 and 30 days of exposure to sub-lethal concentration of cadmium and effect of the ion-exchanging agent zeolite (clinoptilolite) on the reduction of cadmium toxicity were studied grossly and histopathologically. The fish were divided into four groups in 1000 litre fiberglass tanks filled with well water [hardness 302.6 mg CaCo3/l, pH 7, O2 8 mg/L and temperature 15 ± 2oC] Group 1 and 2 considered as control groups. Group 1 was without any cadmium and zeolite. Group 2 was with 10g/L (10ppt) zeolite and without cadmium, group 3 was exposed to 30 ppb cadmium and group 4 was exposed to 30 ppb (μg/L) cadmium in addition 10ppt zeolite. The tissue samples from: spleen and kidney were collected 15 and 30 days post exposure and processed by histological procedures. The main lesions in cadmium exposed groups were: (1) proliferative glomerulitis and acute tubular necrosis in kidney; (2) lymphoid depletion in spleen. The histopathological changes in cadmium exposed group were more severe than cadmium plus zeolite added group. The lesions in groups after 30 days exposure to cadmium were more severe in compare with the day 15th. The exposure duration was important parameter in severity of the tissue lesions. In order to know the able of zeolite in absorption of cadmium in contaminated water six glass aquaria supplied with well water without fish were used in this experiment. In three of the aquarium, 30ppb cadmium and 10g/L zeolite were added and in another 30ppb cadmium were added considered as control for 30 days. Cadmium level was evaluated in each aquarium two times weekly throughout the experiment using atomic absorption spectrophotometer. According to the obtained results cadmium was significantly reduced in treated water in compare with control.
Study of total factor productivity on China’s science and technology service industry: provincial efficiency comparatively using 2010-2019 data

ABSTRACT This research describes the industries’ development and efficiency distribution, investigates the process of industry efficiency influence of these industries’ agglomeration effect on total factor productivity (TFP) change based China’s science and technology service industries from 2010 to 2019 data. We analyse the main factors influencing TFP change and the stage effect difference of significant factors through using linear and non-linear regression equations by construct the panel regression equations. The empirical results show:1) the overall trend of science and technology service industry agglomeration in China is declining; 2) Provinces and regions exhibits a trend of respective agglomeration within the economic belt; 3) the different location entropies of the five regions lead to obvious differences in the development stages; 4) the influences of technology progress and foreign trade on TFP efficiency changes are generally significant; 5)Science and technology service industry have improved industrial efficiency in the central and western regions and made it easier for these regions to break through bottlenecks. We conclude that industrial efficiency improvements should be based on technology upgrading and expansion in infrastructure allocation, also offering more realistic solutions to promote system construction and interregional policy coordination.
A Study of Human Attitude, Persuasion And Ethics Towards The Adoptation Of Sustainable Technology Among Malaysian SMEs

This research investigates the impact of human attitudes, human persuasion and human ethics towards the adoption of sustainable technology among the small and medium-sized enterprises (SMEs) in Malaysia. There is a lacuna in the literature of the focusing on the human factors (attitudes, persuasions and ethical belief) of adoption of sustainable technology in the SMEs context in emerging economy such as Malaysia. The study develops a comprehensive model of sustainable technology adoption considering the strengths and limitations of the existing models. The main theories utilized this paper include the theory of reasoned action (TRA), theory of planned behavior (TPB), attribution theory (AT), environmental attitudes model and the triple bottom line model. The theoretical framework developed for this study is based on the premise of the above theories. A total of 234 sample taken from 2369 SMEs in Malaysia. The major finding of this research suggest that affective attitudes, cognitive attitudes, reasoned persuasion, sentimental persuasion, anthropocentrism and altruism significantly impact adoption mechanism of sustainable technology in a Malaysian setting. These findings are later highlighted in this paper. The implications, limitations and future research avenue are highlighted in the paper.
A study on scattering correction for γ-photon 3D imaging test method

A pair of 511KeV γ-photons is generated during a positron annihilation. Their directions differ by 180°. The moving path and energy information can be utilized to form the 3D imaging test method in industrial domain. However, the scattered γ-photons are the major factors influencing the imaging precision of the test method. This study proposes a γ-photon single scattering correction method from the perspective of spatial geometry. The method first determines possible scattering points when the scattered γ-photon pair hits the detector pair. The range of scattering angle can then be calculated according to the energy window. Finally, the number of scattered γ-photons denotes the attenuation of the total scattered γ-photons along its moving path. The corrected γ-photons are obtained by deducting the scattered γ-photons from the original ones. Two experiments are conducted to verify the effectiveness of the proposed scattering correction method. The results concluded that the proposed scattering correction m.
Recycling and Biomass Influence on the Production-Based CO2 Intensity Based on Circular Economy Concept

In a closed loop structure, the circular economy reflects a concept for converting material and energy wastes into capital for other purposes. The circular economy's key goal is to reduce energy and material waste. The best-case scenario will be to eliminate wastes and repurpose them, which is one of the key goals of the circular economy. The circular economy and sustainable development are inextricably linked. The framework reflects resource reuse and recycling in order to reduce waste and the use of biodegradable items that can be returned to the ecosystem after rejection. Many programs are being developed to incorporate the circular economy in order to apply the system's best practices. Recycling and reusing goods for the same or new items are the best practices for reducing waste and energy consumption. The main goal of the study was to analyze the effect of waste generation and recycling on production-based CO2 intensity based on circular economy concept. For such a purpose adaptive neuro fuzzy inference system (ANFIS) was implemented since the methodology is suitable for statistical investigation of strongly nonlinear data sample due to features of fuzzy logic system. Generated and recycled waste including biomass is the most influential factors for the production-based CO2 intensity based on circular economy concept. The obtained results could represent the best practices for implementation of circular economy concept.
Mechanochemical solid acid/base reactions for obtaining biologically active preparations and extracting plant materials

ABSTRACT Mechanochemically assisted extraction involves the mechanical treatment of powder mixtures of plant materials and convenient reagents in special mill-activators to solubilize the biologically active substances. The reactions of the solid hydroxides, carbonates, and hydrocarbonates of alkali metals are the subject of this paper. During mechanochemical treatment, insoluble biologically active substances are transformed into water-soluble or highly reactive mechanocomposites. The types of reagents used depend on the chemical nature of the biologically active substance and the possible chemical reactions between the substance and reagents. Solid-state mechanochemical reactions between active acids and solid bases and between biogenic amines and acids and the formation of soluble complexes of biologically active substances with water-soluble and insoluble polymers were explored in this study. The advantages of using these reactions in mechanochemically assisted extraction are presented in this review. GRAPHICAL ABSTRACT