Miracle-dz/UniFAR-FTUs huggingface dataset:
Quantifying the water–energy nexus in Greece

ABSTRACT In this paper we provide an assessment of the water–energy nexus for Greece. More specifically, the amount of freshwater consumed per unit of energy produced is determined: for both conventional (lignite, diesel and fuel oil-fired) and advanced (combined operation of gas turbine) thermal power plants in the electricity generation sector; for extraction and refining activities in the primary energy production sector; and for the production of biodiesel that is used as a blend in the ultimately delivered automotive diesel fuel. In addition, the amount of electricity consumed for the purposes of water supply and sewerage is presented. In view of the expected effects of climate change in the Mediterranean region, the results of this study highlight the need for authorities to prepare a national strategy that will ensure climate resilience in both energy and water sectors of the country.
Self-Commissioning of Interior Permanent- Magnet Synchronous Motor Drives With High-Frequency Current Injection

In this paper, a simple and robust method for parameter estimation at rotor standstill is presented for interior permanent magnet (IPM) synchronous machines. The estimated parameters are the stator resistance through dc test, the dq inductances using high-frequency injection, and the permanent magnet flux by means of a closed-loop speed control maintaining rotor stationary. The proposed method does not require either locking the rotor or additional/special power supplies. The validity of the suggested method has been verified by implementation on two IPM motor prototypes. Finally, the estimated parameters have been compared against results obtained through finite-element simulations and with machine magnetic characterization, separately performed, to validate the method's effectiveness. Saturation and cross-saturation effects are taken care of through amplitude modulation and cross-axis current application, respectively.
In silico Elucidation of Dihydroquinine Mechanism of Action against Toxoplasma gondii

Dihydroquinine (DHQ), is a quinine-based compound with anti-malarial properties. However, little is known about its mechanism of action against T. gondii inhibition, which shares similar biology with Plasmodium spp. In order to explore DHQ activity as an inhibitor of T. gondii using in vitro assays, we first used an in silico approach to decipher its mechanisms of action based on previous knowledge about its disruption of nucleic acid and protein synthesis. An in silico study was performed on T. gondii parasite replication, transcriptional and translational machinery to decipher the binding potentials of DHQ to some top selected enzymes. We report for the first time, using an in silico analysis that showed that DHQ binds strongly to DNA gyrase, Calcium Dependent Protein Kinase 1 (CDPK 1), and prolyl tRNA synthetase and thus could affect DNA replication, transcriptional and translational activities in T. gondii. Also, we found DHQ to effectively bind to mitochondria detoxifying enzymes (i.e., superoxide dismutase (SOD), peroxidoxin, and Catalase (CAT)). In conclusion, DHQ could be a lead compound for the treatment of toxoplasmosis when successfully evaluated using in vitro and in vivo models to confirm its effectiveness and safety.
Implant mobility: Revisited

The success lies in achieving and maintaining the stability of a dental implant. However, implant failures are common and among them the most serious issue is the implant mobility. This paper reviews on the implant mobility, its causes, methods to detect mobility and also possible treatment approaches. Keywords: implant; implant failure; implant mobility; osseointegration.
Integrated assessment system of sustainable communities using BIM technology

Utilizing the concepts of sustainability in urban community design, the elements of the physical spatial design – such as building stock lay–out, building form including envelope design, and landscape design – are strongly considered to integrate with the issues of the urban landscape view planning and the environmental planning – such as energy efficiency, sunshine access, CO2 emissions and absorptions, natural ventilation, and urban heat island phenomena. While high-rise apartment style has dominated most of urban community design as physical patterns of spatial design widely ranging from new towns to urban redevelopments in Korea, basic design evaluation tools hardly have been developed yet. Also, there is no specialized assessment system focused on urban community design. Therefore, the purpose of this research was to develop an integrated design evaluation tool focused on the basic design phase for urban community development, named ‘SUSB–UC for Basic Design’. It was a part of an integrated framework.
Predicting Liquid-Vapor (LV) composition at distillation column

Biyanto,TR. , Suhartanto, T. and Widjiantoro, BL. Predicting Liquid-Vapor (LV) composition at distillation column Songklanakarin J. Sci. Technol. , 2007, 29(2) : 575-581 This paper will present the development of nonlinear model of distillation column using neural networks approach. The model is accomplished in Nonlinear Auto Regressive with exogenous input (NARX) structure. This distillation column has two input and two output variables. The input variables are heat duty on the reboiler (Qr), and reflux flowrate (L), while the output variables are mole fraction of distillate (Xd) and mole fraction bottm product (Xb). The training as well as validation data were generated using Amplitude Pseudo Random Binary Signal (APRBS) as excitation signal. The structure of neaural networks is feedforward networks, which consists of three layers: input, hidden and output layer. Levenberg-Marquardt algorithm is used as learning algorithm to adjust the weight matrices of the networks. The results show that NN soft sensor base on flow rate correlation is easy to build, fast response, no need special instrumentations, better of reliability compare to analyzer reliability, cheaper, low operational cost, low maintenance cost, and has good Root Mean Square Error (RMSE).
Improving business processes of Jamaican agritourism enterprises : using ICT to increase collaboration and information sharing

Information and Communication Technologies (ICT) have been used in several sectors and industries and have generated positive results especially in respect of increasing productivity and collaboration. While the discipline of social informatics has studied the use of ICT in agriculture and in tourism as separate fields, little work has been done to look at ICT use in agritourism ? the intersection of agriculture and tourism. Even less (or no) work has been done on ICT use in agritourism in small island developing states, the Caribbean, or Jamaica.This thesis presents the first look at the variables to be considered in applying ICT to agritourism in the Jamaican context. A holistic view of the Jamaican agritourism sub-sector, in the form of the newly crafted Jamaican Agritourism Innovation System (JATIS) model, is presented showing the interactions among the various actors (sectors) required for successful ICT implementation. The JATIS model is an extension of previous Agriculture Innovation Systems (AIS) models and is specifically applied to the Jamaican context. However, as opposed to previous models, the JATIS highlights the critical role of purveyors, or middlemen, operating in Jamaican agritourism. The model formulates a mechanism, different from the current Jamaican agritourism structure, to include all industry players in the supply/demand interaction. The inclusion of all players is done through a series of farm and purveyor groups, enabled and facilitated by ICT. In addition, the model highlights the improved quality of information exchange among the players as a result of the modified interaction proposed. It might be possible to apply the model to other Small Island Developing States, particularly those in the Anglophone Caribbean, where the socio-cultural variables and economies are similar to Jamaica? s. However, further research will have to be conducted to verify, fine-tune, or customize the model for external application.
Psychotic Mania and Nonpsychotic Mania: A Comparative, Cross-sectional Study

Ab s t r Ac t Aims and objectives: Though mania is considered a mood disorder and presents with elevated/irritable mood, increased goal-directed activity, pressure of speech, and flight of ideas, they can also manifest with psychotic symptoms including Schneiderian first-rank symptoms. The present study was undertaken to compare and study any differences between psychotic mania and nonpsychotic mania groups. Materials and methods: We compared the sociodemographic and clinical variables between 30 psychotic and 30 nonpsychotic mania patients, i.e., a total of 60 patients. After obtaining ethical clearance from the Institutional Ethics Committee, we used the Mini International Neuropsychiatric Interview to conduct structured diagnostic interview and the Young’s Mania Rating Scale (YMRS) to assess the severity of mania. Results: Young’s Mania Rating Scale scores (Mann–Whitney U = 785.5; p <0.05) and duration of hospital stay (Mann–Whitney U = 587.0; p = 0.04) were significantly different between the two groups. During correlation analysis, negative correlation between age of onset and number of episodes of psychotic mania (p = –0.477; p = 0.008) was seen. A moderate association between duration of hospitalization and YMRS scores (p = 0.331; p = 0.010) was also observed. Conclusion: Psychotic mania tends to be more severe and needs longer duration of stay in hospital compared to nonpsychotic mania. The negative correlation between age of onset and the number of episodes of psychotic mania highlights the need for specialized early interventions to treat such cases to alter the course of the disorder and improve the socio-occupational impairment.
Psychometric Properties of Smartphone Addiction Inventory (SPAI) in Russian Context

Smartphones facilitate communication, education, information, and entertainment through a diverse array of mobile applications. Excessive smartphone use has become a significant societal issue. The research community has explored both the positive and negative consequences of mobile phone use. The phrase “problematic smartphone use” refers to an excessive pattern of smartphone use that may have negative consequences. Smartphone addiction may present with symptoms that are unique from Internet addiction. Severe sadness, anxiety, and tension are all associated with problematic smartphone use. Numerous negative consequences are discussed, including mental health problems, diminished physical fitness, and poor academic achievement. According to the findings of the literature analysis, there is no inventory that evaluates smartphone addiction in the context of Russia. The goal of this study is to examine the psychometric characteristics of the smartphone addiction inventory (SPAI) in a Russian context. Several Russian Federation universities performed the study during the autumn semester of the 2020-2021 academic year. To enhance the inventory, Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) were utilized on 209 students. As a result, research on the validity and reliability of the Smartphone Addiction Inventory were done in the Russian setting. The research revealed a brief inventory of 14 items and three factors (functional impairment, anxiety, and compulsive behavior).
Video Captioning Based on Multi-layer Gated Recurrent Unit for Smartphones

Video Captioning Based on Multi-layer Gated Recurrent Units for Smartphones. Journal of Science and Technology , (32), 221-226. Abstract Video captioning is the visual understanding process to generate grammatically and semantically meaningful descriptions that are of interest in the fields of computer vision (CV) and natural language processing (NLP). Recent advances in the computing power of the mobile platform have led to many video captioning applications that use CV and NLP techniques. These video captioning applications mainly depend on the encoder-decoder approach running with the internet connection, which employs convolutional neural networks (CNNs) on the encoder and recurrent neural networks (RNNs) on the decoder. However, this approach is not powerful enough to get accurate captioning results, and fast response due to online data transfer. In this paper, therefore, the encoder-decoder approach has been extended with a sequence-to-sequence model under a multi-layer gated recurrent unit (GRU) to generate a semantically more coherent caption. Visual information from image features of each video frame is extracted with ResNet-101 CNN in the encoder to feed the multi-layer GRU based decoder for caption generation. The proposed approach has been compared with the state-of-the-art approaches using experiments on the MSVD dataset under eight performance metrics. In addition, the proposed approach is embedded into our custom-designed Android application, called WeCap , capable of faster caption generation without an internet connection.
(n, n(n-1), n-1) Permutation group codes

Two different subgroups C n and L n of symmetric group S n are first designed and then to construct a family of permutation group codes P n with code length n, minimum Hamming distance n − 1, cardinalityn(n − 1) and error-correcting capability n − 2 is composited.
Déterminants de l’Usage du Transfert d’Argent Mobile par les Utilisateurs d’Internet Mobile au Mali

Le présent papier analyse les principaux déterminants de l’utilisation des services de transfert d’argent mobile par les internautes maliens en situation mobile. Les données collectées auprès de 1739 individus utilisateurs d’Internet mobile de l’étude du groupe de recherche en économie solidaire et industrielle (GRESI) ont été utilisées. Après avoir implémenté le modèle Logit qui est un modèle de régression binomiale, les résultats montrent qu’avoir un niveau d’instruction inférieur au niveau secondaire, avoir un âge compris entre 15-35 ans et la cherté du coût de connexion jouent négativement sur la probabilité d’utiliser le mobile money via Internet mobile au Mali. Tandis que le revenu, la zone de résidence urbaine, les compétences en informatiques et les professions : ouvrier, entrepreneur, commerçant et agriculteur influencent positivement l’utilisation des services de transfert d’argent mobile par le truchement d’Internet mobile. This paper analyses the main determinants of the use of mobile money transfer services by Malian Internet users in a mobile situation. Data collected from 1739 individual mobile Internet users of the study by the solidarity and industrial economy research group (GRESI) were used. After having implemented the Logit model which is a binomial regression model, our results show that having an education level below secondary level, having an age between 15-35 years old and the high cost of connection have a negative impact on the probability of using mobile money via mobile Internet in Mali. While income, urban area of residence, computer skills and occupations: worker, entrepreneur, trader and farmer positively influence the use of mobile money transfer services through the mobile internet.
Factors Affecting Compliance to Ethical Standards in Public Procurement in Kenya: A Behavioral Model of Ethical and Unethical Decision Making Perspective

The study sought to investigate the factors affecting compliance to ethical standards in public procurement in Kenya. The study adopted it is specific objectives from a behavioral model of ethical and unethical decision making that is; professionalism factors, social factors, personality factors, legal framework factors and work environment factors on how they affect compliance to ethical standards in public procurement in Kenya. The study adopted descriptive research design as the study design, the population of the study was 40 employees and since the population was small the researcher employed census research design where all employees took part in the research. Primary data collection method was used by administering structured questionnaires. Descriptive statistics, correlation and multiple regression analysis were used to analyze the data. The finding of the study revealed that professionalism factors, legal framework factors, and work environment factors had a positive and statistical significant influence on compliance to ethical standards in public procurement in Kenya. Personal factors and social factors were found not to have statistical significant influence on compliance to ethical standards in public procurement in Kenya. The study recommended that administrative bodies and judiciary should enforce sanction to people who contravenes rules and code of ethics in public procurement. Public organization to invest in training their employees in public procurement code of ethics and rules to avoid the ignorance’s currently observed. This study had implications on knowledge and practices since it did not only investigate factors affecting compliance to ethical standards in public procurement in Kenya but also informed that professionalism factors, legal framework factors and work environment factors were the major factors affecting compliance to ethical standards in public procurement in Kenya.
Application of a New Uniqueness Theorem to Two-dimensional Electromagnetic Problems

A recently proposed new theorem, stating the electromagnetic field in any homogeneous domain is uniquely determined by the knowledge of the electric or magnetic field at one single point and in a small neighborhood around that point, is applied to two-dimensional fields. In particular, the question of so-called “non-radiating sources” discussed in the context of inverse-scattering schemes is illuminated fromadifferent point of view. Finally, based on that new theorem the paper includes an alternate way to derive a multipole expansion of a plane electromagnetic wave. Index Terms – Theory of electromagnetic fields, uniqueness of electromagnetic fields, inverse scattering and diffraction. This article is dedicated to Professor Volkert Hansen at his 65th birthday together with his retirement as a University Professor.
Space Exploration Technologies' Falcon I Launcher: Towards Operationally Responsive Spacelift

Space Exploration Technologies has developed the Falcon I launcher, of necessity, to be responsive. The driver was not so much for the sake of addressing a government need, but more pragmatic: the less time an effort takes, the less it should cost. Though much work remains to make Falcon responsive to meet more stringent government requirements, Falcon represents a leap improvement. This paper will review the Falcon design and operations with emphasis on vehicle responsiveness. There are three primary areas that need to be worked in order to achieve this responsiveness. They include the contracting process, the integration process, and the launch campaign. Note that this assumes that the lengthy non recurring effort has already been completed in order to get the launcher generally approved to launch from its launch site.
Neuro Controller for Aircraft Auto landing Under Severe Winds and Control Surface Failures

*† § The performance of an autonomous landing task of a Baseline Trajectory Following Controller (BTFC) for a nonlinear high performance fighter aircraft model is studied under severe winds and control surface failures. BFTC performance is found to be inadequate under severe winds and single or multiple control surface failures of hard over type. BTFC controller is augmented in parallel by two neural networks called Minimum Resource Allocating Networks (MRAN). The resulting controller is shown to be fault-tolerant to single and multiple control surface failures over a significant range under severe winds. Nomenclature f = function representing equations of motion / neural network nh = number of neurons h,H = altitude of the vehicle n = n th time index nn = number of neurons NN = neural network (EMRAN) p = roll rate
Yapay Potansiyel Alan ile Otonom Araçların Kavşak Geçiş Önceliğinin Belirlenmesi

Studies on the use of Autonomous Vehicle Systems are increasing day by day. In addition to the land use trials of autonomous vehicles, various methods and practices are continuing for the use of pedestrian and manned vehicle traffic in urban traffic. The ability of the autonomous vehicle to move in mixed traffic without harming itself and other traffic elements is one of the most important problems waiting for a solution. In the studies, logical decision makers and many rule bases are created for safe navigation of autonomous vehicles and driver behavior is tried to be modeled. Within the scope of this study, autonomous vehicles moving in the
Lageregelung eines nichtlinearen elastisch gekoppelten Zweimassensystems mittels neuronalem Netz

Dieser Beitrag beschreibt eine neuronale Regelungsstruktur, die das dynamische Verhalten von reibungsbehafteten elektromechanischen Systemen deutlich verbessern kann. In Simulationen wird gezeigt, daß der neuronale Regler in der Lage ist, den Einfluß von Reibung zu kompensieren und störende Stick-Slip Effekte zu vermeiden. Bei der verwendeten Regelungsstruktur wird ein Multilayer-Perzeptron eingesetzt, das parallel mit einem konventionellen Zustandsregler arbeitet und online trainiert wird. Nach einer kurzen Lernphase ist das neuronale Netz in der Lage, einen adaptiven Regler nachzubilden.
Musical communication of flutists in ensemble performance

Background. Several empirical studies have shown that performer’s musical intentions are conveyed through manipulations of acoustic parameters. Therefore, during ensemble performance, musicians need to coordinate their musical ideas, through manipulation of different parameters. Aims. This paper aims to discuss timbre modification, due to coupling interpretation of ensemble performance. We compared the sound quality of solo performances of orchestral excerpts played by professional flutists, with their own performances when following clarinet and bassoon playing the same excerpt in unison. In this study, timbre was represented by two of the descriptors discussed by McAdams and colleagues, the logarithm of attack time and spectral centroid. Note segmentation, end of attack and beginning of release were determined using the Expan tool developed in previous studies. Results. We were able to observe that flute players tend to modify their timbre when following clarinet and bassoon with different tendencies for each instrument.