Miracle-dz/UniFAR-FTUs huggingface dataset:
Pressure-Induced Polymerization: Addition and Condensation Reactions

Under pressure of 1–100 GPa, unsaturated organic molecules tend to form covalent bond to each other for a negative enthalpy change, which often produces polymeric materials with extended carbon skeleton. The polymerization reactions typically happen in crystal, which promotes the topochemical process. This review summarized the topochemical polymerization processes of several alkynes, aromatics, and alkynylphenyl compounds, including the critical crystal structures before the reaction, bonding process, and the structure of the products. Secondly, this review also summarized the condensation reaction identified in the polymerization process, including the elimination of small molecules such as NH3, etc.
KNOWLEDGE DISCOVERY AND TWITTER SENTIMENT ANALYSIS: MINING PUBLIC OPINION AND STUDYING ITS CORRELATION WITH POPULARITY OF INDIAN MOVIES

Twitter is the world's most popular platform for self-expression. With more than 18 million registered users, India has the third highest number of accounts on Twitter. This provides a tremendous opportunity to marketers to gauge public opinion and make precise and targeted campaigns. Movies in India are increasingly taking to digital platforms to create buzz before the release of a movie. Sentiment Analysis, or Opinion Mining, can be used to gauge the reaction of people for numerous purposes by quantifying the contextual polarity of tweets in real time. While the technique is a crucial element of the Natural Language Processing domain, its use to understand the mind of consumers in India, has been limited. The study is an attempt to measure the impact of mood of Twitter users, over the period leading up to the release of a movie, on subsequent performance of the movie on the opening weekend, in India. Sentiment Analysis is performed on tweets fetched in real time to comprehend whether word of mouth disseminated in digital form, affects the popularity and hence, the performance of movies. The endeavor is to ultimately predict, with use of relevant metrics, whether a movie can succeed on the box office or not. Measuring and analyzing the mood of people can help companies gain invaluable insights about the dynamics of consumers' preferences- instantaneously.
Microactuators for GaAs-based microwave integrated circuits

An approach to the realization of tunable/variable GaAs microwave integrated circuits (MMICs) using micromachined electrostatically controlled actuator technology is described. This technology is potentially compatible with conventional GaAs MMIC fabrication techniques, and will allow precise positioning and repositioning of metal conductors (tuning stubs, switches, capacitor plates, etc.) on an insulating substrate after fabrication is complete. This will allow the yield and performance of these GaAs circuits to be substantially improved. Microwave switches and tunable capacitors have been fabricated in order to demonstrate the principle of these devices, and they exhibit excellent RF performance. Voltages required to initiate movement are between 80 and 200 V. The design and performance aspects of these circuits are described. <<ETX>>
Snap-through buckling behavior of piezoelectric bimorph beams: II. Experimental verification

This part II of the present work is focused on the experimental verification of the snap-through buckling models presented in part I. The construction of the bimorph piezoelectric actuators that are used for the experimental verification is presented in detail. The materials, curing procedure and electrical connectivity of the actuators are shown. The experimental set-up and subsequent results for the non-linear behavior of the bimorph piezoelectric actuators are depicted, providing the necessary arguments for the validity of the models presented in part I. Focus is given to the verification of the modified model with the use of the elastic boundary. Different compression values were provided in order to investigate the limits of linear actuation and the onset of snap-through buckling transition that eventually provides increased actuation output in terms of out-of-plane displacements.
An axial-flux permanent-magnet generator for a gearless wind energy system

The paper discusses the development of an axial-flux permanent-magnet generator for a gearless wind energy system which aims to demonstrate the feasibility of integrating wind and photovoltaic energy converters for the generation of electricity and to achieve optimum exploitation of the two energy sources. The merits of an axial-flux generator topology are discussed with reference to the particular requirements of an electrical generator for a direct-coupled wind turbine application. The design, construction and test results of a 5 kW, 200 RPM permanent-magnet generator, to form a 10 kW pilot power plant in combination with a 5 kW photovoltaic array, are presented.
Technology-Oriented Or Learning-Driven? A Case Study of Physical Learning Space Design in the Republic of Trinidad and Tobago

Using the design of learning environments as a point of engagement, this article posits ‐ in the Caribbean context ‐ that the primary focus for Colleges and Universities should not be on technology, that is, technological products but rather, on learning as the product. The practice of learning space design in the Republic of Trinidad and Tobago has traditionally installed technology imitatively, reflexively, in a vacuum ‐ that is, without an integration of technology with the learning philosophies of higher education institutions. The result of such an incorporation of technology into the learning space is an illusion of progressiveness instead of the best possible facilitation of teaching and learning. The article argues for a strategic design process where stakeholders collaborate, space needs are identified, possible solutions are analysed, issues of adaptability and flexibility are considered and technological innovations are creatively and deliberately linked with the goal: learning for today and for the future.
A Field Analysis ofSystem-level Effects ofSoft Errors Occurring in Microprocessors usedinInformation Systems

Soft errors duetoalpha andcosmic particles area growing reliability threat toinformation systems. In this work, amethodology isdeveloped toanalyze the effects ofsingle event upsets (SEU)andobtain FIT ratesfor commercial microprocessors in live information systems. Ourmethodology isbasedon datacollectedfrom error logs anderror traces ofthe information systems present globally inthefield. We alsocomparethesystemeffects oferrors thatare suspected tobeduetoSEUsascompared withnonSEU errors. Softerrors arefurther localized within specific microprocessor resources withtheassistance ofthemachine check architecture. Theanalyzedfield datarepresents a world-wide population of microprocessors installed inthefield. Intotal, several thousands systems andthirty-six months offield data wereanalyzed. Themethodology usedincarrying out this field analysis isdiscussed indetail andresults are presented.
Identification of oxytocin receptor activating chemical components from traditional Japanese medicines

Oxytocin (Oxt) is known to regulate social communication, stress and body weight. The activation of Oxt receptors (OTR) has clinical potential to abate stress disorders and metabolic syndrome. Kamikihito (KKT) is a traditional Japanese medicine used to treat psychological stress-related disorders. We investigated the effects of KKT, its ingredients and chemical components on Oxt neurons and OTR. C-Fos expression was examined after oral and peripheral administration of KKT in rats. Electrophysiological change of Oxt neurons and Oxt release upon application of KKT were measured in rat brain slice. The direct effect of KKT, its ingredients and its chemical components were examined by cytosolic Ca2+([Ca2+]i) measurement in Oxt neurons and OTR-expressing HEK293 cells. Both intraperitoneal and oral administration of KKT in rats induced c-Fos expression in neurons of the paraventricular nucleus (PVN) including Oxt neurons. Application of KKT induced activation of Oxt neurons and Oxt release. KKT increased [Ca2+]i in OTR-expressing HEK293 cells, and failed to activate with OTR antagonist. KKT-induced PVN Oxt neuron activation was also attenuated by OTR antagonist. Seven chemical components (rutin, ursolic acid, (Z )-butylidenephtalide, p-cymene, senkunolide, [6]-shogaol, [8]-shogaol) of three ingredients (Zizyphi Fructus, Angelicae Acutilobae Radix, Zingiberis Rhizoma) from KKT had potential to activate OTR. KKT can directly activate PVN Oxt neurons by interacting with OTR. The interaction of seven chemical components from KKT may contribute to activate OTR. Effect of KKT on Oxt neurons and OTR may contribute to the treatment of Oxt related disorders.
Deep Learning for Massive MIMO Uplink Detectors

Detection techniques for massive multiple-input multiple-output (MIMO) have gained a lot of attention in both academia and industry. Detection techniques have a significant impact on the massive MIMO receivers’ performance and complexity. Although a plethora of research is conducted using the classical detection theory and techniques, the performance is deteriorated when the ratio between the numbers of antennas and users is relatively small. In addition, most of classical detection techniques are suffering from severe performance loss and/or high computational complexity in real channel scenarios. Therefore, there is a significant room for fundamental research contributions in data detection based on the deep learning (DL) approach. DL architectures can be exploited to provide optimal performance with similar complexity of conventional detection techniques. This paper aims to provide insights on DL based detectors to a generalist of wireless communications. We garner the DL based massive MIMO detectors and classify them so that a reader can find the differences between various architectures with a wider range of potential solutions and variations. In this paper, we discuss the performance-complexity profile, pros and cons, and implementation stiffness of each DL based detector’s architecture. Detection in cell-free massive MIMO is also presented. Challenges and our perspectives for future research directions are also discussed. This article is not meant to be a survey of a mature-subject, but rather serve as a catalyst to encourage more DL research in massive MIMO.
The ShakeOut Earthquake Source and Ground Motion Simulations

The ShakeOut Scenario is premised upon the detailed description of a hypothetical Mw 7.8 earthquake on the southern San Andreas Fault and the associated simulated ground motions. The main features of the scenario, such as its endpoints, magnitude, and gross slip distribution, were defined through expert opinion and incorporated information from many previous studies. Slip at smaller length scales, rupture speed, and rise time were constrained using empirical relationships and experience gained from previous strong-motion modeling. Using this rupture description and a 3-D model of the crust, broadband ground motions were computed over a large region of Southern California. The largest simulated peak ground acceleration (PGA) and peak ground velocity (PGV) generally range from 0.5 to 1.0 g and 100 to 250 cm/s, respectively, with the waveforms exhibiting strong directivity and basin effects. Use of a slip-predictable model results in a high static stress drop event and produces ground motions somewhat higher than median level predictions from NGA ground motion prediction equations (GMPEs).
Investigation of Physical and Chemical Delay Periods of Different Fuels in the Ignition Quality Tester

Abstract : This paper investigates the physical and chemical ignition delay (ID) periods in the constant volume combustion chamber of the Ignition Quality Tester (IQT). IQT was used to determine the Derived Cetane Number (DCN) according to ASTM D6890-10a standards. The fuels tested were ultra low sulfur diesel (ULSD), jet propellant-8 (JP-8), two synthetic fuels of Sasol IPK and F-T SPK (S-8). A comparison was made between the DCN and cetane number (CN) determined according to ASTM-D613 standards. Tests were conducted under steady state conditions at a constant pressure of 21 bar, and various air temperatures ranging from 778 K to 848 K. The rate of heat release (RHR) was calculated from the measured pressure trace and a detailed analysis of the RHR trace was made particularly for the autoignition process. Tests were conducted to determine the physical and chemical delay periods by comparing results obtained from two tests. In the first test, the fuel was injected into air according to ASTM standards. In the second test, the fuel was injected into nitrogen. The point at which the two resultant pressure traces separated was considered to be the end of the physical delay period. The effects of the charge temperature on the total ID as defined in ASTM D6890-10a standards, as well as on the physical and chemical delays were determined. It was noticed that the physical delay represented a significant part of the total ID over all the air temperatures covered in this investigation. Arrhenius plots were developed to determine the apparent activation energy for each fuel using different IDs. The first was based on the total ID measured according to ASTM standards. The second was the chemical delay determined in this investigation. The activation energy calculated from the total ID showed higher values for lower CN fuels except Sasol IPK.
Catatonia in autism spectrum disorders: A systematic review and meta-analysis

Abstract Background Catatonic features can appear in autism spectrum disorders (ASDs). There can be overlap in symptoms across catatonia and ASD. The overall aim of this review is to provide evidence for the presence of catatonic features in subjects with ASD. Methods A systematic literature search using the Web of Science database from inception to July 10, 2021 was conducted following PRISMA, MOOSE guidelines and the PROSPERO protocol. (CRD42021248615). Twelve studies with information about catatonia and ASD were reviewed. Data from a subset was used to conduct meta-analyses of the presence of catatonia in ASD. Results The systematic review included 12 studies, seven of which were used for the meta-analysis, comprising 969 individuals. The mean age was 21.25 (7.5) years. Two studies (16.6%) included only children and adolescents. A total of 70–100% were males. Our meta-analysis showed that 10.4% (5.8–18.0 95%CI) of individuals with ASD have catatonia. Motor disturbances were common in ASD subjects with catatonia. No differences were found in comorbidity. Several treatments have been used in ASD with catatonic features, including benzodiazepines, antipsychotics, and electroconvulsive therapy (ECT). The findings of the systematic review showed that ECT might help manage catatonic symptoms. Conclusions Different features of catatonia can exist in individuals with ASD and core symptoms of catatonia are reported in ASD. Longitudinal and longer-term studies are required to understand the relationship between catatonia and ASD, and the response of catatonic symptoms to treatment.
Matching-Control of Wind Power System Based on Current Source Converter

The weak grid lacks frequency support capability and may cause the broadband oscillation because of the coupling of the traditional vector control loop of current and the phase-locked-loop (PLL). To solve this issue, this paper presents a new method applied to the permanent magnetic synchronous generator (PMSG)-based wind power converter which is based on current source converter (CSC) and is called “Matching-Control”. In contrast to the conventional PLL-based synchronization method, the Matching-Control makes the grid side converter (GSC) realize self-synchronization by adopting the intrinsic dynamics of the DC-link inductor so the PLL could be removed and there will be no coupling problem of those control loops. An additional inertia transmission control loop is added to the machine-side control loop to improve the inertial response ability after receiving the frequency information transferred by the GSC and then utilizes the kinetic stored in the rotor of wind turbines to support the recovery of the grid. Therefore, under the Matching-Control, wind power converters show the characteristics of a synchronous generator and needs no PLL to keep synchronization with the power grid. Finally, on the Simulink/MATLAB simulation platform, the feasibility of the proposed method and the correctness of the theoretical analysis are verified.
V‐band low phase‐noise oscillator based on a cavity resonator integrated in the silicon substrate of the MCM‐D platform

In this article, we present a V‐band low‐phase‐noise oscillator stabilized by a silicon integrated cavity resonator (SiCR). The SiCR is realized in a multi chip module‐deposited thin‐film technology platform. The high resistivity silicon substrate is thinned to 100 μm and through silicon vias are available. The resonator is formed by a double row of through silicon vias defining a TM010 cylindrical cavity resonator. The area on top of the resonator is reused for flip‐chip mounting the active device, a MMIC chip realized in BiCMOS technology, implementing SiGe heterojunction bipolar transistors. A lower phase noise is demonstrated for the oscillator using SiCR in comparison with an idle oscillator using the same active device but a shorted CPW line as resonator. In the best case, the phase‐noise of the oscillator with SiCR is reduced to −102 dBc/Hz at 1‐MHz carrier offset, fosc = 54 GHz, from −89 dBc/Hz at 1 MHz carrier offset, fosc = 47.3 GHz, corresponding to the idle oscillator, using the CPW resonator. © 2012 Wiley Periodicals, Inc. Microwave Opt Technol Lett 54:1788–1792, 2012; View this article online at wileyonlinelibrary.com. DOI 10.1002/mop.26946
How Firms Make Boundary Decisions: The Role of Hierarchy Span and Expertise Span

We report findings from an analysis of 234 firm boundary decisions that a manufacturing firm has made during a 10 year period. Extensive interviews with all major decision makers allow us to examine (a) who was involved in each boundary decision, and (b) how the firm arrived at a particular transactional choice in each decision. We find that decision makers extensively adapt decision structures in order to effectively make governance mode choices. They adapt hierarchy span, i.e. the number of hierarchical levels involved, and expertise span, i.e. the number of same-level decision makers with dissimilar knowledge basis. We observe that decision makers heavily rely on varying hierarchy and expertise span in order to improve the quality of the decision outcome. Central to the adaption of decision structures is that decision makers, over time and as novelty decreases, substitute hierarchy span with expertise span. We conclude that this substitution mechanism is core for our understanding of how decision structures are used when
CONSIDERATION OF ENVIRONMENTAL IMPACTS IN THE INTEGRATED MASTER PLAN FOR LAHORE-2021

Consideration of environmental impacts in development plans is increasingly viewed as an important pre-requisite of sustainable development. Strategic environmental assessment (SEA) or sustainability assessment (SA) may be undertaken to integrate environmental considerations and sustainability of proposed policies, programmes and plans. The examples of environmental assessment of master plans being implemented in big cities of developing countries are extremely rare. This article examines the Integrated Master Plan for Lahore-2021 with respect to consideration of environmental impacts of its development proposals, since Lahore is the second largest metropolitan of Pakistan with over 7 million population facing sever environmental problems. Interviews with concerned officials of plan making and implementing agencies were held to underpin the root causes of inadequacies. The study concludes that consideration of environmental impacts is weak mainly because formal SEA or SA was not done. Lack of public participation, institutional capacity, primary data and absence of a context specific SEA process design for land use planning are some of the obstacles. Despite these, it is encouraging to note that the Plan highlights key issues of the environment, suggests carrying out environmental impact assessment and preparing environmental management plan for major development initiatives.
A unified analytical model and experimental validations of injection-locking processes

Unified analytical expressions predicting the locking range for fundamental, subharmonic (n=2), superharmonic (n=2), and parametric injection (m=n=p=1) locking are presented and compared in this paper. Power series are employed to model the device nonlinearity. The /spl alpha/-parameters, relating nonlinear I-V behavior, are extracted using a harmonic-balance approach. These expressions are verified using an UHF oscillator; and good agreement is obtained between the experimental and analytical results.
A Structural Model Proposal for Turkish Faculties of Education Regarding ICT Integration Indicators

A recent survey study with 2515 pre-service teachers suggested an underlying structure to shelter ICT integration indicators. Eleven indicators were extracted, which were Teaching-Learning Methods, E-learning, E-interaction, Learning Communities, Infrastructure, Access, Ease of Use, Technical Assistance, Policy, Special Education and Health. In addition, the study provided interrelationships among variables which could lead to an ICT integration model for teacher training institutions. The current study administered the survey to 255 pre-service teachers to confirm the suggested factor structure. Based on the relationships among constructs that were provided in the previous study, second-order analyses were conducted revealing a potential pathway to an ICT integration model. The model indicated that the Policy of the institutions was at the center predicting Infrastructure, Special Education, Health and Teaching-Learning Methods. Infrastructure predicted Access, Ease of Use and Technical Assistance; whereas Teaching-Learning Methods predicted E-interaction, E-learning and Learning Communities. Implications and recommendations for further research are provided.
Image Exploitation-A Forefront Area for UAV Application

Image exploitation, an innovative image utilisation program uses high revisit multisensor, multiresolution imagery from unmanned air vehicle or other reconnaissance platform for intelligent information gathering. This paper describes the imagc exploitation system developed at the Aeronautical Dcvclopment Establishment, Bangalore, for the remotely piloted vehicle (RPV) Nishonr and highlights two major areas (i) In-flight imagc exploitation, and (ii) post-flight imagc cxploitatlon. In-flight imagc study includes real-timeenhancement of images frames during RPV flight. target acquisition. calculation of geo-location of targets, distance and area computation, and image-to-map correspondence. Post-flight image exploitation study includes image restoration, classtfication of terrain, 3-D depth computation using stereo vision and shape from shading techniques. The paper shows results obtained in each of these areas from actual flight trials.