Miracle-dz/UniFAR-FTUs huggingface dataset:
Building Performance for a Greener Tomorrow: Designing an Initial Assessment System for Green Building Certifications of Existing Buildings

Overconsumption of fossil fuels and an increase in greenhouse gas emissions are causing a greenhouse effect, which lead to a rise in average temperatures globally and contribute to global climate change. The construction sector has been identified as responsible for some of the highest levels of resource use and waste emissions across the globe, compared with other sectors. Tackling the construction sector in Europe through the operations and renovations of existing buildings will contribute to a major shift in reducing the negative impacts of climate change. Green building certifications offer a way towards improving an existing building’s environmental performance. In Sweden, property owners of existing office buildings are interested in upgrading, maintaining, or achieving green building certifications to also increase their competitiveness on the market and improve their company’s overall environmental performance portfolio. Amidst literature on green building certifications for design and new construction, few studies have been done on green building certifications for existing buildings. By identifying systematic challenges in the certification process for those who assess existing buildings with BREEAM In-Use, LEED EBOM, and Miljobyggnad for existing buildings, the concept of a strategic tool to mitigate the challenges of the assessment process has been recommended. With such a tool to precede the assessment stage, sustainability consultants can identify client motivations and key performance indicators that target the most appropriate credits within the three schemes under study. (Less)
The human factors of system design: Understanding and enhancing the role of human factors engineering

Design decisions which govern the operability of human-machine systems should be made by people who thoroughly understand human factors principles, methods, and data. In practice, however, these decisions are often made by people trained in other design disciplines. These individuals may not be aware of, misinterpret, or not value this information. To ensure that human factors information is better integrated into the design process than is currently the case, we need to understand the context, perspectives, and activities associated with system design. Based on a review of design literature and eight field studies, this paper characterizes human-machine system design in terms of its social and organizational context and the activities of its individual participants. Information access and utilization is seen as the common denominator across individuals. However, due to differences among design disciplines in how phenomena, problems, and solutions are represented, information across disciplines is often misinterpreted or misused, Implications of this analysis for design supports that can improve information integration into design, especially from the human factors domain, are discussed.
COMPETENCY MAPPING IN KNOWLEDGE BASED ORGANIZATIONS

The competencies at work lead to significant organizational development that provides knowledge based organisations with a competitive edge. A dynamic and growing organization needs to continually review its structure and systems, creating new roles and responsibilities. The identification of employee potential to ensure the availability of people to do different jobs helps to motivate employees in addition to serving organizational needs. As global business competition shifts from efficiency to innovation and from enlargement of scale to creation of value, management needs are oriented towards the strategic use of human resources. A critical factor related to an organization’s long term success, is its ability to measure how well employees perform and to use that information to ensure the tangible results. Awareness of employees about mapping systems and upgradation of process is necessary for overall development of individuals and organization. The present paper discusses in detail the competency mapping at various levels in a knowledge based organization and analyzes the gaps in required skill to improve the level of competency. The investigation was carried out by taking a study on a R&D laboratory based at Chandigarh, India as a model Knowledge Based Organization.
Fuel Efficiency by Coasting in the Vehicle

This paper investigates the possibility of improving the fuel efficiency by decreasing the engine speed during the coasting phase of the vehicle. The proposed approach is stimulated by the fact that the engine losses increase with the engine speed. If the engine speed is retained low, the engine losses will be reduced and subsequently the tractive torque will be increased, enabling the vehicle to remain moving for longer duration while coasting. By increasing the time period of the coasting the fuel efficiency can be increased, especially travelling downhill, since it can benefit from the kinematic energy stored in the vehicle to continue coasting for a longer duration. It is already industry standard practice to cut fuel during coasting and refuel at low engine speed. The substantial difference proposed in this paper is the controlled reduction of engine speed during this phase and thus reduction in the engine losses, resulting in improved fuel economy. The simulation model is tested and the results illustrating an improvement to the fuel efficiency through the proposed method are presented. Some results of the experimental tests with a real vehicle through the proposed strategy are also presented in the paper.
Focusing on health information: how to assess information quality on the internet

The quality of information on the internet is extremely variable. In health information, where quality can mean the difference between effective management of a health problem and potentially dangerous treatments, tools to assess quality are imperative. The criteria included in quality assessment tools are discussed. An overview of a study using one of these tools is provided.
Treacher collins syndrome: An update from a stomatological point of view

Introduction: Treacher Collins syndrome (TCS) is congenital craniofacial disorder, in which mainly the malar, a maxillary hypoplasia and peri orbital anomalies are affected. Objective: To analyze the literature on TCS from a dental perspective, to investigate information on the etiology, diagnosis, clinical and oral manifestations, and its treatment. Methodology: Using the keywords “Treacher Collins”, “etiology”, “prevalence”, “oral manifestations” and “clinical management”, the MEDLINE/PubMed and ScienceDirect databases were searched, with emphasis on the last 5 years. It was evaluated with the PRISMA and AMSTAR-2 guidelines. Results: Its incidence was found to be 1:50000. It is mainly due to 3 genes, POLR1D, POLR1C and TCOF1; these genes manifest individually. Diagnosis can be clinical and by some genetic tests. The most common features range from mandibular hypoplasia, involvement of the external auditory canals, downward palpebral fissures, among others. Most of the anomalies can have an impact on tooth eruption, malocclusion and temporomandibular joint. The maxillary and mandibular cranial region is the most affected in this syndrome. The most common treatments in dentistry are orthodontics, palate correction and cleft lip. Conclusions: It is important to know the affectations that these patients present to be able to provide a better diagnosis and have in mind which are the possible treatments that we can apply to these patients. The work is multidisciplinary and begins at an early age to increase the quality of life and lifestyle.
Magnonic logic circuits

We describe and analyse possible approaches to magnonic logic circuits and basic elements required for circuit construction. A distinctive feature of the magnonic circuitry is that information is transmitted by spin waves propagating in the magnetic waveguides without the use of electric current. The latter makes it possible to exploit spin wave phenomena for more efficient data transfer and enhanced logic functionality. We describe possible schemes for general computing and special task data processing. The functional throughput of the magnonic logic gates is estimated and compared with the conventional transistor-based approach. Magnonic logic circuits allow scaling down to the deep submicrometre range and THz frequency operation. The scaling is in favour of the magnonic circuits offering a significant functional advantage over the traditional approach. The disadvantages and problems of the spin wave devices are also discussed.
Handling Trust in A Cloud Based Multi Agent System

Cloud computing is an opened and distributed network that guarantees access to a large amount of data and IT infrastructure at several levels (software, hardware.). With the increase demand, handling clients’ needs is getting increasingly challenging. Responding to all requesting clients could lead to security breaches, and since it is the provider’s responsibility to secure not only the offered cloud services but also the data, it is important to ensure clients reliability. Although filtering clients in the cloud is not so common, it is required to assure cloud safety. In this paper, by implementing multi agent systems in the cloud to handle interactions for the providers, trust is introduced at agent level to filtrate the clients asking for services by using Particle Swarm Optimization and acquaintance knowledge to determine malicious and untrustworthy clients. The selection depends on previous knowledge and overall rating of trusted peers. The conducted experiments show that the model outputs relevant results, and even with a small number of peers, the framework is able to converge to the best solution. The model presented in this paper is a part of ongoing work to adapt interactions in the cloud.
Elucidating the effect of information technology capabilities on organizational performance in UAE: a three-wave moderated-mediation model

PurposeThis paper aims to investigate information technology capabilities (ITC)’s influence on organizational performance (OP) within the hospitality industry. Specifically, it analyzes the indirect effects of sustainability practices (SP) and service quality (SQ) on the relationship between ITC and OP. The moderating effect of top management support (TMS) is also examined.Design/methodology/approachUsing a three-wave time-lagged design, 507 UAE hotels' managers took part in the study. Hierarchical regression bootstrapping approach was used to examine the hypothesis.FindingsThis study suggests that ITC are positively related to OP. Furthermore, the study found that SP and SQ mediate the ITC-OP relationship. TMS moderates the positive relationship between ITC and OP and also moderates the relationship between SQ and OP. Additionally, TMS moderates the indirect effect of SQ on the association between ITC and OP, such that the mediating effect is stronger when TMS is at a high level.Research limitations/implicationsThe study shall assist the practitioners of the hospitality firms to focus their attention on ITC to improve SQ and hence achieve optimal performance.Originality/valueThe novelty of this research lies in the presentation of an integrated framework based on a resource-based view to solve the contemporary challenges facing hospitality firms operating in emerging markets in integrating ITC and SP for better organizational results.
A novel effective micromixer having horizontal and vertical weaving flow motion

The need for small-scale product-related biotechnology (BT) is rapidly increasing. An important product among these is high-performance biochips. In these devices, many microchannels are used for separation, filtering and mixing of various materials; therefore, for compactness, these reactions should be carried out in the small space of microfluidic systems. However, there is no turbulence that can induce materials to be mixed or reacted in the microchannel, especially with low Reynolds number laminar flow. Hence, it is difficult to sufficiently mix different materials. To address this problem, we propose the HVW (horizontal and vertical weaving) micromixer having crossed barriers inside of a microchannel, for effective mixing and reacting different materials. From CFD analysis, we have evaluated the mixing mechanism and efficiency of the HVW mixer. In this work, it is shown that the HVW mixer has the maximum mixing efficiency of 89.9% with a short mixing distance of 450 µm at a Reynolds number of 5 with the barrier angle of 30°, when water and water combined with Rhodamine B figment were used as fluids.
“Smart” Polylactic Acid Films with Ceftriaxone Loaded Microchamber Arrays for Personalized Antibiotic Therapy

Bacterial infections are a severe medical problem, especially in traumatology, orthopedics, and surgery. The local use of antibiotics-elution materials has made it possible to increase the effectiveness of acute infections treatment. However, the infection prevention problem remains unresolved. Here, we demonstrate the fabrication of polylactic acid (PLA) “smart” films with microchamber arrays. These microchambers contain ceftriaxone as a payload in concentrations ranging from 12 ± 1 μg/cm2 to 38 ± 8 μg/cm2, depending on the patterned film thickness formed by the different PLA concentrations in chloroform. In addition, the release profile of the antibiotic can be prolonged up to 72 h in saline. At the same time, on the surface of agar plates, the antibiotic release time increases up to 96 h, which has been confirmed by the growth suppression of the Staphylococcus aureus bacteria. The efficient loading and optimal release rate are obtained for patterned films formed by the 1.5 wt % PLA in chloroform. The films produced from 1.5 and 2 wt % PLA solutions (thickness—0.42 ± 0.12 and 0.68 ± 0.16 µm, respectively) show an accelerated ceftriaxone release upon the trigger of the therapeutic ultrasound, which impacted as an expansion of the bacterial growth inhibition zone around the samples. Combining prolonged drug elution with the on-demand release ability of large cargo amount opens up new approaches for personalized and custom-tunable antibacterial therapy.
Evaluation Growth of Tea Seedling and Population of Azotobacter sp. from Application Compost of Green Tea Factory Waste (Tea Fluff) and Azotobacter sp. on Andisols

Tea plants are generally propagated through vegetative propagation leaf cutting and planting on mixed of topsoil and subsoil. To obtain the soil media from top soil began to feel difficult. In order to overcome these problems and preserve the environment, it is necessary to find alternative planting medium of tea seedling has to be explored to reduce the use of soil, one of which is the use of green tea factory waste compost Tea Fluff (TF). In addition, the fulfillment of nitrogen with use Azotobacter sp. This study aims to determine the effect of giving Tea Fluff compost and Azotobacter sp. on the growth of tea seedling and soil nutrients. This research was conducted from April 2020 to January 2021. The experiment will be carried out at Nursery in Research Institute for Tea and Chincona (RITC) Gambung, West Java. The planting material used was superior GMB 7 clones. The study used a factorial randomized block design (6 x 2) with 3 replications. Factor I is the combination of subsoil, (F1) 100% Topsoil + 0% TF; (70% Topsoil + 30% TF; 60% Topsoil + 40% TF; 50% Topsoil + 50% TF; 40% Topsoil + 60% TF; and 30% Topsoil + 70% TF, as a factor II is the Azotobcater sp dose, consisting of without Azotobacter sp. and 3 mL Azotobacter sp. The variables observed included the growth of tea seeds (18 WAP), analysis of soil chemistry and the microbial population of Azotobactersp. The results showed that the combination of Tea Fluff compost with soil media had an effect on increasing the number of leaves, stem diameter, root length, root volume, percentage of live seedling, C-organic, N total, dan P avalaible. Azotobacter sp. affect the number of microbial populations. There is an interaction between the combination of Tea Fluff compost with Azotobacter sp. on population of Azotobacter sp. The highest percentage of live seeds in control treatment was 14.83% followed by treatment 70% Topsoil + 30%TF is 14.17%. The composition of the planting medium with Tea Fluff compost planting media affects microbial populations differently and the growth of clones GMB 7 on Andisols.
Delicar: A Smart Deep Learning Based Self Driving Product Delivery Car in Perspective of Bangladesh

The rapid expansion of a country’s economy is highly dependent on timely product distribution, which is hampered by terrible traffic congestion. Additional staff are also required to follow the delivery vehicle while it transports documents or records to another destination. This study proposes Delicar, a self-driving product delivery vehicle that can drive the vehicle on the road and report the current geographical location to the authority in real-time through a map. The equipped camera module captures the road image and transfers it to the computer via socket server programming. The raspberry pi sends the camera image and waits for the steering angle value. The image is fed to the pre-trained deep learning model that predicts the steering angle regarding that situation. Then the steering angle value is passed to the raspberry pi that directs the L298 motor driver which direction the wheel should follow. Based upon this direction, L298 decides either forward or left or right or backwards movement. The 3-cell 12V LiPo battery handles the power supply to the raspberry pi and L298 motor driver. A buck converter regulates a 5V 3A power supply to the raspberry pi to be working. Nvidia CNN architecture has been followed, containing nine layers including five convolution layers and three dense layers to develop the steering angle predictive model. Geoip2 (a python library) retrieves the longitude and latitude from the equipped system’s IP address to report the live geographical position to the authorities. After that, Folium is used to depict the geographical location. Moreover, the system’s infrastructure is far too low-cost and easy to install.
PROSPECT guideline for elective caesarean section

We thank Oh et al. [1] for their interest in the PROSPECT guideline for elective caesarean section [2]. We agree with Oh et al., who concluded that fixed time-interval oral analgesia is superior to on-demand oral analgesia [3], and therefore the way we have written this in our manuscript is indeed incorrect. However, this correction does not change our recommendations or the guideline because only one study has been published demonstrating the positive effect of fixed time interval oral analgesia administration. Further studies are required to confirm these results before they can be incorporated into the guideline.
Extracting linguistic speech patterns of Japanese fictional characters using subword units

This study extracted and analyzed the linguistic speech patterns that characterize Japanese anime or game characters. Conventional morphological analyzers, such as MeCab, segment words with high performance, but they are unable to segment broken expressions or utterance endings that are not listed in the dictionary, which often appears in lines of anime or game characters. To overcome this challenge, we propose segmenting lines of Japanese anime or game characters using subword units that were proposed mainly for deep learning, and extracting frequently occurring strings to obtain expressions that characterize their utterances. We analyzed the subword units weighted by TF/IDF according to gender, age, and each anime character and show that they are linguistic speech patterns that are specific for each feature. Additionally, a classification experiment shows that the model with subword units outperformed that with the conventional method.
Forced Expiratory Time in Indian Children - Ability to Meet the Criterion

The forced vital capacity (FVC) maneuver is central to a multitude of information about the functioning of the lungs. But for it serve this purpose proper performance of this complex maneuver is essential. Standards have been prescribed by various agencies to monitor the FVC maneuver, concentrating mainly on adults. Children in general find it difficult to satisfy these adult based standards, and especially the forced expiratory time (FET) criterion, which is a part of the end of test (EOT) criteria, is found to be most difficult to achieve. Technically acceptable FVC maneuvers obtained from 91 children yielded FET values which were analyzed and Pearson’s correlation coefficients were derived with height, weight, age and body surface area (BSA). The children in the present study produced an average FET of 1.53s, and over the age, height and weight ranges FET exhibited a positive correlation. Hence adult based standards may not be achieved by children vis-a-vis FET, even though the
Cascading Failure Analysis on Shanghai Metro Networks: An Improved Coupled Map Lattices Model Based on Graph Attention Networks

Analysis of the robustness and vulnerability of metro networks has great implications for public transport planning and emergency management, particularly considering passengers’ dynamic behaviors. This paper presents an improved coupled map lattices (CMLs) model based on graph attention networks (GAT) to study the cascading failure process of metro networks. The proposed model is applied to the Shanghai metro network using the automated fare collection (AFC) data, and the passengers’ dynamic behaviors are simulated by GAT. The quantitative cascading failure analysis shows that Shanghai metro network is robust to random attacks, but fragile to intentional attacks. Moreover, there is an approximately normal distribution between instant cascading failure speed and time step and the perturbation in a station which leads to steady state is approximately a constant. The result shows that a station surrounded by other densely distributed stations can trigger cascading failure faster and the cascading failure triggered by low-level accidents will spread in a short time and disappear quickly. This study provides an effective reference for dynamic safety evaluation and emergency management in metro networks.
Cooperative Beamforming in Relay Assisted MIMO-OFDMA Cognitive Radio Systems

In this paper, a new algorithm is proposed for cooperative beamforming, power allocation and relay selection in the multiple input multiple output (MIMO) Orthogonal Frequency Division Multiple Access (OFDMA) CR systems where a pair of SU communicates with each other assisted by some single antenna relay nodes. The objective is to maximize signal to interference plus noise ratio (SINR) of SU subject to guarantee the PU's quality of service and power constraints of SU and relay nodes over all subchannels. The transmitter and receiver beamforming vectors of PU and SU are estimated by the proposed two- step iterative algorithm. Simulation results show that the proposed algorithm is able to increase the spectrum usage efficiency and, further, guarantee the required QOS at the PU.