Miracle-dz/UniFAR-FTUs huggingface dataset:
Diminishing musharakah: Using a viable kind of equity financing instrument in managing the capital requirement of business

This applied study was aimed at giving an insight to practitioners and academicians as well as investors and interested parties in understanding the characteristics and processes of an interesting shari’ah-compliant equity financing vehicle. Therefore, effort in identifying the related shari’ah concept and tenets as well as principles was closely studied in depth in order to justify on the validity of the instrument for the users of such financing facility. Related available documents were scrutinised in detail. A simple model of this form of vehicle was then proposed in this study. Thus, contributions in term of an innovation can offer a new knowledge to the practitioners as well as academicians and the interested parties of this financing instrument. Qualitative method of research and descriptive approach to research were applied in this study as they were appropriate in looking into the research issue understudied. Capitalising on the explored and examined instrument shall then become the basis in innovating more sophisticated models for multiplicity of instruments to be made available in the capital market both for domestic and foreign markets. In conclusion, this study contributed in term of an innovation initiative aimed at sustaining economic growth to up-hold the on going concern of enterprises during economic recession turbulence. Key words: Shari’ah-compliant, equity financing vehicle, diminishing musharakah, musharakah investment model.
Open Sourcing Proprietary Application Case Study: KIRI Website

KIRI, a previously closed source project, is a web-based public transport navigation application that serves Bandung and other cities in Indonesia. It was originally made for commercial purpose, but relatively unsuccessful. Rather than shutting it down, we transformed KIRI to an open source project. In this paper we explain such process of transformation. First, we identified technical infrastructures required by an open source project by literature review. Then, we surveyed various existing open source projects in Indonesia in terms of their completeness in technical infrastructure. Based on findings from literature review and survey, we converted KIRI into an open source project. Finally, we checked final result of this transformation, to ensure everything worked well. There were some problems found after conversion, and had been fixed accordingly. Further research is needed to see if the open sourced KIRI can attract community participation.
Software analysis of racing drivers’ interfaces using Link Analysis and Fitts’ Law

This paper discusses the development, application, and proof-of-concept test of software designed to analyse specific aspects relating to the usability of steering wheel-based interfaces in racing cars. A combination of link analysis and Fitts’ Law is employed in order to identify interface efficiency and potential driver physical workload. The racing driver’s primary goal is to win races, this is achieved through a combination of primary and secondary tasks. These sometimes-complex secondary tasks can however overload the driver and cause distraction, leading to driving errors with potentially serious consequences. Equally, drivers experiencing high primary task workload may be more prone to making interface-based errors, particularly when complex secondary tasks are performed. Steering wheel-based interfaces were analysed from four 2017 Formula One season cars, measurements were taken, and control coordinates, dimensions, and control types recorded. A set of typical secondary interactions involving interface controls common to all the cars that might take place within the first ten laps of a race were derived from on-board footage. A software application was developed to load this control layout and interaction data, and carry out link analysis, Fitts’ Law and hybrid calculations. The analysis revealed a range of data, including traversal distances and indices of difficulty for activating individual controls or combinations. This provides insight into efficiency and physical workload levels associated with interface designs. Designs can then by optimised and retested by updating the control layout data, or with variations of interaction data, with the ultimate goal of reducing errors as well as improving safety and driver performance.
IEC: Towards Interest-Eliciting Neural Conversational Agents

Conversational agents need sufﬁcient social skills to establish long-term connections with human users. Identifying users’ interests without explicitly asking about them, such as in salesperson-customer conversations, is among the most important social skills. In this paper we formulate the problem as an Interest-Eliciting Conversation (IEC) task, where a conversational agent must elicit users’ interests and shift to topics that can effectively drive the conversation forward. We present a ﬁrst-of-its-kind research testbed with a neural user simulator and a set of competitive baseline agents. Some of these agents are equipped with a neural decision module to intelligently elicit users’ interests so as to sustainably anticipate and respond to their needs. We empirically demonstrate the effectiveness of the IEC agents and lay the foundation for the development of future conversational agents that are more user-engaging.
THE GOOD MODELING PRACTICE UNIFIED PROTOCOL

An activated sludge model is a simplified representation of water resource recovery facility (WRRF) processes that can be used to estimate required aeration capacity, evaluate the potential for denitrification and biological phosphorus removal, predict solids production, and improve plant operation and control, among other things. Originally activated sludge models were based on carbonaceous removal, nitrification, and denitrification. Additional processes have been gradually added to the models with the improvement of wastewater treatment technologies and with the increased focus on nutrient removal, cost saving, and resource recovery. Various processes have been added, including anaerobic digestion, biological and chemical phosphorus removal, deammonification, solids separation, and advanced sludge treatment.
Rheological and Velocity Profile Measurements of Blood in Microflow Using Micro-particle Image Velocimetry

Microhemodynamics is the study of blood flow in small vessels, usually on the order of 50 to 100 μm. The in vitro study of blood flow in small channels is analogous to the in vivo study of the microcirculation. At this scale the Reynolds and Womersly numbers are significantly less than 1 and the viscous stress and pressure gradient are the main determinant of flow. Blood is a non-homogeneous, non-Newtonian fluid and this complex composition and behavior has a greater impact at the microscale. A key parameter is the shear stress at the wall, which is involved in many processes such as platelet activation, gas exchange, embryogenesis and angiogenesis. In order to measure the shear rate in these blood flows the velocity profile must be measured. The measured profile can be characterized by the maximum velocity, the flow rate, the shear rate at the wall, or a shape parameter reflecting the bluntness of the velocity profile. The technique of micro-particle image velocimetry (μPIV) was investigated to measure the velocity profiles of blood microflows. The material of the channel, the type of tracer particles, the camera used, and the choice in data processing were all validated to improve the overall accuracy of μPIV as a blood microflow measurement method. The knowledge gained through these experiments is of immediate interest to applications such as the design of lab-on-a-chip components for blood analysis, analysis of blood flow behavior, understanding the shear stress on blood in the microcirculation and blood substitute analysis. Polymer channels were fabricated from polydimethylsiloxane (PDMS) by soft lithography in a clean room. PDMS was chosen for ease of fabrication and biocompatibility. The contacting properties of saline, water, and blood with various polymer channel materials was measured. As PDMS is naturally hydrophilic, surface treatment options were explored. Oxygenated plasma treatment was found to be less beneficial for blood than
Embedding Entrepreneurial Competence in Higher Education Institutes: An Entrepreneurship Mind-Set Value

Job seeking competition in today’s disruption era is increasing rapidly. Higher Education Institutes (HEI) need to prepare their graduates to be able to compete in this era. The focus of entrepreneurship in theory is to develop and flourish business throughout invention and exploitation of good and services. This study acts as basic guidance for HEI senior management and their staff in its managerial structure as a reference and based on developing a framework to create an improved curriculum, so that students can meet employment requirements. This study applies content analysis to understanding curriculum compatibility by adapting entrepreneurship competence dimensions in a management undergraduate study program. The result reveals that in the existing curriculum the expected learning outcomes (ELO) still have incompatibility with the second and third entrepreneurship competences; the ‘resources’ and ‘into action’. This result will lead to a framework for curriculum adjustment in order to enhance students’ employability towards the 4.0 industry. There are gaps in the existing ELO that can be identified using the entrepreneurship competences and which need to be resolved. The current curriculum in the Department of Management needs to be addressed. Entrepreneurship competences need to be embedded in individuals, especially students in Indonesian HEIs. The entrepreneurial competence, which is embedded in the student, will enable improving their skills when they enter the real world. This research also contributes in enhancing HEIs’ students’ entrepreneurial competence, by providing a framework to modify the current curriculum.
Open-World Virtual Reality Headset Tracking

A novel outdoor Virtual Reality (VR) concept called Open-World Virtual Reality (OWVR) is presented that combines precise GNSS positioning and a smartphone-grade inertial sensor to provide globally-referenced centimeter-and-degreeaccurate tracking of the VR headset. Unlike existing augmented and virtual reality systems, which perform camera-based inside-out headset tracking relative to a local reference frame (e.g., an ad-hoc frame fixed to a living room), OWVR’s globally-referenced tracking enables a novel VR experience in which the user’s outdoor exploration is robust to extremes in lighting conditions and local visual texture. This paper introduces the OWVR concept and presents a prototype OWVR system with two candidate sensor fusion architectures, one loosely and one tightly coupled. Comparative performance is evaluated in terms of tracking accuracy and availability of an integer-aperture-test-validated fixed tracking solution. For scenarios with degraded GNSS availability, which will be typical for outdoor VR, the tightly-coupled architecture is shown to offer a critical tracking robustness advantage.
Reducing Uncertainty in Chemistry Climate Model Predictions of Stratospheric Ozone

Chemistry climate models (CCMs) are used to predict the future evolution of stratospheric ozone as ozone-depleting substances decrease and greenhouse gases increase, cooling the stratosphere. CCM predictions exhibit many common features, but also a broad range of values for quantities such as year of ozone-return-to-1980 and global ozone level at the end of the 21st century. Multiple linear regression is applied to each of 14 CCMs to separate ozone response to chlorine change from that due to climate change. We show that the sensitivity of lower atmosphere ozone to chlorine change deltaO3/deltaCly is a near linear function of partitioning of total inorganic chlorine (Cly) into its reservoirs; both Cly and its partitioning are controlled by lower atmospheric transport. CCMs with realistic transport agree with observations for chlorine reservoirs and produce similar ozone responses to chlorine change. After 2035 differences in response to chlorine contribute little to the spread in CCM results as the anthropogenic contribution to Cly becomes unimportant. Differences among upper stratospheric ozone increases due to temperature decreases are explained by differences in ozone sensitivity to temperature change deltaO3/deltaT due to different contributions from various ozone loss processes, each with their own temperature dependence. In the lower atmosphere, tropical ozone decreases caused by a predicted speed-up in the Brewer-Dobson circulation may or may not be balanced by middle and high latitude increases, contributing most to the spread in late 21st century predictions.
Flame structure and processes

1: The Science of Combustion: History, Scope and Literature. 2: Macroscopic Flame Behavior. 3: Burner Systems. 4: Flame Visualization and Aerodynamics. 5: Flame Temperature Measurements. 6: Composition Measurements in Flames. 7: Probe Sampling from Combustion Systems. 8: Laser Diagnostics. 9: The Analysis of Flame Data. 10: Flame Processes. 11: Decomposition and Halogen Flames-Dissociation Initiated. 12: Oxygen Flames with C/H/O Fuels. 13: Other Flame Systems
ANALYSIS AND DESIGN OF TWO-SLOT ANTENNAS FOR WIRELESS COMMUNICATION APPLICATIONS

This paper presents the design and investigation of array antennas formed of two narrow rectangular slots. Two approaches for feeding the two slots by microstrip lines are investigated as well as the influence of changing the distance between the slots on the radiation pattern. The two slots are etched on one side of the substrate, while the feed network is placed on the other side. Two designs, depending on the feeding approach, are presented. In the first design, a simple T-shaped divider is used to feed the two slots, while the second design is based on a single microstrip line which feeds the two slots in series. Two antennas are for the first design, each with dimensions of 57.83 × 41.3 mm2, while those of the second design have dimensions of 83.45 × 36.9 mm2. The four proposed designs have been simulated and optimized using Computer Simulation Technology (CST-MWS) simulation program. Prototypes were fabricated and tested to verify the designs. The four antennas achieved −10 dB impedance bandwidths between 8.6% and 9.4%, while the gain values were between 4.7 dB and 5.7 dB. The comparisons between the fabricated and simulated antennas considered the reflection coefficient and radiation pattern showing good agreement.
Apprentissage actif et utilisation de la structure a priori des données : application à une base d'images satellite haute résolution

Dans cet article, nous proposons une nouvelle methode d? apprentissage actif sur des bases d? images satellites permettant d? incorporer l? information a priori contenue dans les donnees ("donnee" fait reference ici aux parametres de texture, couleur, forme. extraits des images). Plus precisement, nous utilisons la connaissance d? une distribution a priori sur les donnees, dans notre cas un melange de Gaussiennes, pour guider l? apprentissage d? un classifieur SVM. Un algorithme d? apprentissage actif qui reprend cette idee est d? abord decrit. Les performances de l? algorithme ainsi obtenu sont ensuite comparees en terme de vitesse d? apprentissage et de capacite a gerer de gros volumes de donnees a une approche classique utilisant un classifieur SVM qui n? exploite pas la structure a priori des donnees. Les tests sont realises sur une base d? images satellites haute resolution QuickBird.
ANALYSIS OF THE DETERMINANTS OF CREDIT CONSTRAINTS STATUS OF RURAL HOUSEHOLDS

This study was undertaken to identify credit constrained status of households and analyse the determinants of credit constraints in the Afigya-Kwabre District of Ghana. A multistage random sampling was used to select 166 households which comprised of 94 credit constrained households and 72 credit unconstrained households. A semi-structured questionnaire was used to elicit primary data from the respondents. The Direct Elicitation Method (DEM) was used to identify credit constrained household whilst binary logit was uused to determine households that were likely to be credit constrained. Results revealed that 57% of the households were credit constrained. Also, the results of the logit showed that sex, age, farm experience, farm size, years of formal education, household size, extension contact and distance were the major factors which significantly determine the credit constraint status of the households. In order to address the credit constrained status of the households, it is recommended that educational programs be organized by government for the households since more years of education reduces credit constraint. Credit lenders should strategically site their institutions close to the rural communities (households) to increase household credit access and reduce transaction cost. Extension workers must educate households on how they could be creditworthy to lending institutions.
The Levels of Depression, Anxiety, Acceptance of Illness, and Medication Adherence in Patients with Multiple Sclerosis - Descriptive and Correlational Study

Emotional functioning is one of the factors affecting medication adherence in patients with multiple sclerosis (MS). Adherence to treatment is a very important element in the therapy of patients with MS and requires from them cooperation, positive emotional status and acceptance of illness. This study evaluated the role of depression, anxiety, and the acceptance of illness on adherence to disease-modifying therapies (DMT) in MS. A group of 226 MS patients was included. The Beck Depression Inventory (BDI), the Hospital Anxiety and Depression Scale-Modified Version (HADS-M), the Acceptance of Illness Scale (AIS) and the Multiple Sclerosis Treatment Adherence Questionnaire (MS-TAQ) were used. It was shown that 41% of patients reported the symptoms of anxiety, 28% reported the symptoms of depression, and 63% were irritated and aggressive (HADS-M). Over 80% of patients accept their disease to varying degrees. There was a correlation between the results of HADS-M, BDI, and AIS and the domains of MS-TAQ. Analysis of the multiple-regression model showed that only being very satisfied with treatment positively affects adherence to DMT in MS patients. It has to be concluded that anxiety and depression have a significant negative impact on medication adherence in MS patients. However, MS patients with an increased acceptance of their illness have a higher rate of adherence to DMT. The emotional state of a patient is an important factor that can both positively and negatively affect their adherence and their resulting prognosis.
Contribution à la mécanique statistique quantique des gaz froids

Cette these presente un certain nombre de resultats sur la mecanique statistique des gaz froids. La premiere partie concerne essentiellement les gaz peu degeneres de fermions ou de bosons avec un spin (ou un pseudo-spin) 1/2. Nous ecrivons une equation cinetique pour un tel gaz et nous en servons pour etudier les proprietes de transport de spin, notamment les ondes de spin et l'instabilite de Castaing dans un piege. En utilisant une approche hydrodynamique, nous calculons egalement les modes collectifs d'oscillation d'un gaz de Bose unidimensionnel dans un piege a temperature nulle. Dans une deuxieme partie, nous nous interesseons aux proprietes d'equilibre des gaz froids denses. En utilisant le formalisme des operateurs d'Ursell, nous etendons la theorie quantique du developpement en agregats des systemes dilues aux systemes denses. Nous appliquons ensuite cette methode a l'etude de la statistique des cycles d'un condensat de Bose-Einstein et a la transition superfluide d'un gaz de Fermi attractif.
Interaction Energies of the Human ACE2 Molecular Recognition by SARS-CoV-2

The Coronaviridae family of viruses includes hundreds of viruses common in many different animal species and humans. Seven coronaviruses (CoVs) are known to cause disease in humans. Four of them show low pathogenicity and are endemic in humans and the other three CoV are particularly dangerous and highly pathogenic viruses, which underwent genetic changes rendering them able to jump the species barriers from animal host to humans and also to spread efficiently among humans. SARS-CoV-2 is the seventh coronavirus known to infect humans. The S protein mediates attachment and viral and host cell membrane fusion. The receptor-binding domains (RBDs) are regions in S protein responsible for receptor recognition. Human angiotensin-converting enzyme 2 (ACE2) is recognized by HCoV-NL63, SARS-CoV and SARS-CoV-2 as their functional receptor. Interaction energy analysis were performed to unveil how precisely SARS-CoV-2 interacts with ACE2 by identifying which amino acid residues are responsible for the interactions across S protein-ACE2 interfaces and how they contribute to the strength, stability and specificity of S protein interactions. Interaction energies acting on molecular recognition of ACE2 by HCoV-NL63, SARS-CoV and SARS-CoV-2 conduced to a naturally evolved RBD with different combinations of amino acids, providing SARS-CoV-2 binding interface more interacting residue pairs, more hydrogen bonds, increased number of residues engaged in hydrogen bonding, allowing for better distribution of hydrogen bond per residue in interface than SARS-CoV or HCoV-NL63, includes salt bridge, and adds new van der Waals contacts into the network. Residues across the SARS-CoV and SARS-CoV -2 homologous sequences have been chosen to be remarkably evolutionary conserved in the regions mediating binding of these viruses because of their dominant hydrogen bonding contribution to binding stability to ACE2. SARS-CoV-2 achieves higher binding affinity than SARS-CoV and HCoV-NL63 to human ACE2 molecular recognition primarily by combining its richer interaction network and higher binding stability. This study presents a comprehensive and quantitative analysis of interaction energies of the human ACE2 molecular recognition by CoVs that may contribute to further understand the higher infectivity and transmissibility of SARS-CoV-2 compared to SARS-CoV and HCoV-NL63, furthermore, this could help explain why SARS-CoV-2 has an enhanced ability for pathogenicity.