Miracle-dz/UniFAR-FTUs huggingface dataset:
Determinants of Patient’s Choice to Bypass the Closest Hospital: A Case Study of Punjab, Pakistan

Pakistan is a developing, 5th populous country with recession in economic indicators. Bypassing is the phenomenon that is widely discussed among the low income countries due to the less provision of health care facilities at primary health care centers. Secondary healthcare centers provide specialized level of diagnostic and treatment facilities while tertiary care hospitals provide specialized healthcare facilities at advance level. There is an impression of better health service facilities at tertiary care hospitals as compared to primary and secondary healthcare hospitals located near the patient’s homes. So, they prefer to go to tertiary care hospitals after bypassing the closest secondary care hospitals. The objective of this study was to evaluate the factors that caused patients to bypass the closest hospital. A well-structured questionnaire was developed to collect data through a stratified random sampling technique. Data were collected from three major tertiary care hospitals of Faisalabad, Lahore, and Multan in Punjab province. The dependent variable was in dichotomous form so, binary logistic model was applied to see the effects of several independent variables such as patient’s demographic and behavioral factors that were consisted on problem of inequality, severity of disease, competency of doctor, reputation of hospital, availability of ambulance, availability of own transport facility, recommendation from friend, referred from primary health care. Results revealed that all these variables had a positive and significant relationship with the patient decision to bypass the closest hospital except residential area, competency of doctor and reputation of hospital. It is suggested that Government should take measures to upgrade the primary health care units to minimize the problem of bypassing the closest hospital. It will reduce the financial burden of patients that automatically enhance their well-being.
Study on real-time control of humanoid robot using surface EMGS

The objective of this study was to control humanoid robot real-time by using surface electromyograms (EMGs). The requirements to the qualities of prepositive circuits acquiring surface EMGs were presented. A high performance preamplifier and a filter were constructed. A EMGs acquisition system using DAQ2006 had been built. Surface EMGs were detected and processed by the designed system. The processed surface EMGs were used to control the humanoid robot. Different muscles of those different subjects were used to control the humanoid robot to catch object. Experimental results show the failure rate of catching the object by the humanoid robot is less than 1%.
SuDS and human behaviour: Co-developing solutions to encourage sustainable behaviour

Sustainable Drainage Systems (SuDS) are today widely considered to be a more progressive and environmentally sensitive approach to Flood Risk Management (FRM). However, this paper argues that the sustainability of SuDS should not be so simply presumed. Devices will depend upon correct behaviour from those local to them in order to function properly over time, and for Green Infrastructure SuDS to flourish and deliver their promised multiple benefits. This paper looks to the potential value in using Social Practice Theory as a lens for understanding current behaviours around SuDS devices, and for assessing possible strategies for encouraging positive behaviour amongst affected communities. It concludes in arguing that involving local people as much as possible in the co-design of systems and then working to maintain involvement and awareness will be the most cost-effective means by which SuDS might be made to live up to the sustainability they are celebrated for.
Treatment for Intermediate-Stage Hepatocellular Carcinoma: Current Practice and Outcome in Real World Study

Background: Intermediate-stage hepatocellular carcinoma (HCC) is a very heterogeneous disease. The first line treatment for this group is transarterial chemoembolization (TACE), however, in clinical practice, not all patients are suitable for TACE. We aim to evaluate current treatment practice and outcome of patients with intermediate-stage HCC.Methods: HCC patients database from 2013 to 2016 in Cipto Mangunkusumo Hospital and Dharmais Cancer Hospital were retrospectively analyzed. Patients with intermediate-stage HCC were included in this study.Results: A total of 456 patients were diagnosed with HCC, but only 151 (33.1%) patients with intermediate-stage HCC were included. Men outnumbered women in a ratio of 3:1. The most common etiology for HCC was hepatitis B virus (HBV) infection, which accounted for 55% of patients. Fifty-two patients (34.4%) were treated with TACE as first-line treatment. Sixty-seven patients (44%) were given best supportive care due to ineligibility for TACE. Frequency of TACE varied from one to eleven times. Overall median survival was 617 days (1.7 years). One-year survival for patients undergoing TACE and liver resection was 47% and 60%, respectively. We did not compare the survival between any treatment groups because the number of patient in each group is not sufficient to be statistically analyzed.Conclusion: Only 34.4% of patients with intermediate-stage HCC was treated with TACE as first-line treatment. An improvement in the treatment strategy should be done for HCC patients in Indonesia.
Using the Flipped Classroom to Promote Learner Engagement for the Sustainable Development of Language Skills: A Mixed-Methods Study

In second language education, the flipped classroom has been widely researched and increasingly applied as a teaching approach to improve the academic performance and engagement of English as a foreign language learners. However, learner engagement is a multidimensional construct, and not much empirical evidence exists about whether the flipped classroom can lead to a significant improvement in learners’ behavioural, emotional, cognitive, and social engagement in the EFL class. To fill this gap, this study adopted a mixed-methods research approach to evaluate the impact of the flipped College English Listening and Speaking class on four-dimension learner engagement in a mainland China context. After an eight-week intervention we compared the experimental group (the flipped class, N = 34) and the control group (the non-flipped class, N = 35). Findings demonstrate that after eight weeks of flipped instruction, students in the flipped class achieved higher mean scores on the post-test engagement questionnaires in behavioural, emotional, cognitive, and social engagement. However, the difference in emotional engagement between the flipped and non-flipped classes was not statistically significant. Semi-structured interviews revealed several factors responsible for learner engagement in the flipped EFL classroom. Positive influencing factors were learning environment, instructor presence, learning content, and learner presence, whereas negative aspects included the excessive workload on learners, lack of learning preparedness, lengthy videos, and technical challenges. Based on the findings, we would argue that the instructor and other educational stakeholders should provide more support to cater to learners’ emotional engagement and help learners cope with the challenges encountered throughout the flipped learning process. The study may assist teaching professionals and researchers obtain a clearer understanding of flipped instruction in the EFL context and design and implement the flipped class by considering the positive and negative elements affecting learner engagement.
A comprehensive experimental study on technology options for reduced substrate coupling in RF and high-speed bipolar circuits

The influence of substrate coupling on advanced high-speed and RF circuits can have a significant impact on circuit performance and must therefore be reduced. Hence, the circuit designer usually applies shielding measures such as guard rings. However, this might not be sufficient for high-performance circuits. Here, also the technology must be optimized to suppress substrate coupling as much as possible. In this work different technology options such as high-resistivity and SOI substrates, transistor isolation techniques, and shielding methods are investigated and their influence on substrate coupling is determined by measurements. In contrast to most previous work, this paper focuses on high-speed and RF circuits, fabricated in advanced bipolar or BiCMOS technologies.
Operation of highly rated permanent magnet synchronous machines

Many applications call for drives with very high power/torque per unit weight/volume. Typical examples are drives for aerospace actuation systems and for electric or hybrid automotive transmissions. Permanent magnet machines of various types are strong contenders for these applications and to get the most from a given frame size they will be designed with high electric and magnetic loadings. Drive specifications quite often call for constant torque over a limited low speed range followed by constant power over an extended high speed range. Usually the high speed range involves operation of the machine at the supply voltage ceiling with flux weakening. The problem is examined from the viewpoint of trying to establish operating conditions using fixed parameters based on unsaturated or saturated conditions in comparison to a full account of saturation. This study can be seen as being related to strategies that might be implemented in a controller for the drive of the chosen machine. >
Special issue on intelligent transportation systems, big data and intelligent technology

ABSTRACT Based on the increasing demands of transportation development, the concept of an Intelligent Transportation System (ITS) has received increasing attention in both academic and industry arenas. It integrates information, communications, computers and other technologies, and applies them in the field of transportation to build an integrated system of people, roads and vehicles by utilizing advanced data communication technologies. It can establish a large, fully functioning, real-time, accurate and efficient transportation management system. Intelligent transportation systems shift the focus from road managers to road users. In order to achieve this purpose, intelligent transportation systems use advanced technology to provide drivers with convenient information to help reduce traffic congestion and to increase available road capacity. This special issue is dedicated to exploring the most recent advances in intelligent transportation systems and big data based on intelligent technology.
An Autonomous and Vendor Independent Robot-based Palletizing System

Robots has during the last decades taken an important role in the industry. These industrial robot systems are doing predefined jobs over and over again. One typical example is a palletizing system, where robots are used to pick up packages from the end of a production line, and thereafter placing it on a pallet for the hence of transport. Many problems could occur, like for instance what to do when new and unknown packages of different size and shapes occurs at irregular intervals at the production line? The system may not tackle this. Situations like this could be dangerous for humans. A robot could be looked at with three aspects mechanical, electrical and software. The latter one can be unnecessarily complicated since the robot manufactures often develop their own programming languages and development tools. This gives the robot manufactures control over their products, which is positive in many ways, e.g. stability, security, performance etc. From a consumer’s view this unfortunately tends to be quite expensive only highly qualified personnel could install and upgrade the system and you may not use spare parts or new products from other robot manufactures. With the goal to develop an autonomous robot-based system that should tackle these problem, the task is divided into three parts: Robot frameworks The system should be able to support robots from different manufactures with as little adjustment as possible. Therefore the control system is moved to a standard computer. What are the pros and cons? What about the lack of standards for robot communication and control in the robotic industry? Vision system To be able to tackle new and unknown packages of different size and shapes occurring at irregular intervals at the production line they have to be detected in some way. The implemented vision system uses two standard webcams, in contrast to more traditional machine vision solutions where special sensors and sophisticated cameras are used. Its task is to detect new packages, and measure their height, width and depth. Packing algorithms Traditional pallet loading systems place packages by some predefined schemes. Since the system should be autonomous, a algo-
Joint Hierarchical Bayesian Learning of Full-structure Noise for Brain Source Imaging

Many problems in human brain imaging involve hierarchical Bayesian (type-II maximum likelihood) regression models for observations with latent variables for source and noise, where parameters of priors for source and noise terms need to be estimated jointly from data. One example are biomagnetic inverse problems, where crucial factors inﬂuencing accuracy of brain source estimation are not only the noise level but also its correlation structure. Importantly, existing approaches have not addressed estimation of a full-structure noise covariance matrix. Using ideas from Riemannian geometry, we derive an efﬁcient algorithm for updating both source and a full-structure noise covariance along the manifold of positive deﬁnite matrices. Our results demonstrate that the novel framework signiﬁcantly improves upon state-of-the-art techniques in the real-world scenario with fully-structured noise covariance.
ECOLOGICAL INTELLIGENCE TOWARDS ECOLOGICAL BEHAVIOUR

All humans on the planet are morally obliged to take care of the earth. Sri Lankan consumers have values, beliefs and norms tendency towards green consumption behavioural intention to safeguard nature, but those would not be adequately converted towards actual green behaviour. Though most people believe that the choices they make result from a rational analysis of available alternatives, in reality however, emotions and sensitive feelings greatly influence in many cases, even determine our decisions. This novel, vague and conscience concept of ‘Ecological Intelligence’ is about the ecological sensitivity and awareness of people regarding the natural mutations and the ability to react against them. This conceptualization is aiming to build a cherished contribution by extending the Value-Beliefs-Norms (VBN) theory by proposing the moderating role of ecological intelligence towards the ecological behaviour of humans. Thus, this paper intended to expand the existing body of knowledge and footing for succeeding studies.
Edinburgh at SemEval-2022 Task 1: Jointly Fishing for Word Embeddings and Definitions

This paper presents a winning submission to the SemEval 2022 Task 1 on two sub-tasks: reverse dictionary and definition modelling. We leverage a recently proposed unified model with multi-task training. It utilizes data symmetrically and learns to tackle both tracks concurrently. Analysis shows that our system performs consistently on diverse languages, and works the best with sgns embeddings. Yet, char and electra carry intriguing properties. The two tracks’ best results are always in differing subsets grouped by linguistic annotations. In this task, the quality of definition generation lags behind, and BLEU scores might be misleading.
The Numerical Simulation of Pollutant Transport in Shallow Water Flows

A real test using the finite volume method is presented for the numerical simulation of the pollutant transport by water flows. Shallow water equations, bottom friction forces, wind shear stresses, and Coriolis effect are used to model the water flow while a transport-diffusion equation is used to model the advection and dispersion of the pollutant concentration. The finite volume method used has been the subject of several works (see e.g. [3, 4, 17]) it is a simple discretization of centered type for the source terms, can handle complex topography by using non-uniform triangular grids while keeping the conservation property. The C-property based on checking the balance between the convection term and the background profile is satisfied. The monitoring of the pollutant concentration in the computational domain during its dispersion process is taken into account. The focus of this study is on an application of pollution dispersion in the Nador lagoon in Morocco. The results are presented using different tidal conditions and wind-induced flow fields in the lagoon.
T-RAID: TEE-based Remote Attestation for IoT Devices

The Internet of Things (IoT) consists of network-connected embedded devices that enable a multitude of new applications, but also create new risks. In particular, embedded IoT devices can be infected by malware. Operators of IoT systems not only need malware detection tools, but also scalable methods to reliably and remotely verify malware freedom of their IoT devices. In this paper, we address this problem by proposing T-RAID, a remote attestation scheme for IoT devices that takes advantage of the security guarantees provided by a Trusted Exe-cution Environment running on each device.
A review of the internal and external factors affecting teachers’ ICT use in Classroom

This paper is to review the internal and external factors that may prevent teachers from using ICT in classrooms for educational purposes. This review is based on a wide range of studies conducted in different contexts which help understanding whether those factors are common in those studies. To better understanding the hindering factors, the review begins with a highlight on the motivational factors that research found can affect teachers towards the usage of ICT in classroom. To conclude, this review stresses that all factors are intertwined and meaning that all factors need to be addressed if teachers’ use of ICT to be effective in the educational process as it should be
The Role of Forensic Investigation Professionals in the Prevention of Fraud and Corruption in Developing Countries

Fraud and corruption in developing countries is regarded as a way of life, norm in public service or a culture that cannot be wish away. Auditors concentrate of error detection and regards fraud and corruption as a secondary assignment in a given engagement. The primary role of Forensic Investigation Professionals (FIPs) or forensic accountants is to examine incidence of fraud in financial records. Auditors are fact witness, whereas Forensic investigation professionals or forensic accountants are expert witness not fact witness, they can testify in courts as expert witnesses for either the prosecution or the defense. This study evaluates the role of forensic investigation professionals in curbing the menace of fraud and corruption practice in developing countries using exploratory research design. Finding in the study point to the fact that forensic investigation professional plays a complimentary role to the government anti-fraud and anti-corruption agencies in strategies and policies to curb menace of corruption in the system. Also, finding shows that Forensic Investigation Professionals (FIPs) have significant role in curbing the menace of fraud and corruption in developing countries.
Estimation of Fertility Status of Coastal Soils for Agricultural Planning in Bangladesh

A study was conducted to know the fertility status of coastal soils of Bangladesh for agricultural planning. Thirty composite soil samples were collected from different locations of Kalapara upazila under Patuakhali coastal district in Bangladesh with Geographic Positioning System (GPS) positions. The soil samples were analyzed for physical properties (moisture, texture, bulk density, particle density and porosity) and chemical properties (pH, electrical conductivity, total nitrogen, organic carbon, exchangeable sodium, exchangeable potassium, available sulphur and available phosphorus). The range of moisture contents of collected soils was 24 to 29% and the textural class was silty clay. The bulk density ranged from 1.30 to 1.47 gcm-3. The particle density ranged from 2.31 to 2.49 gcm-3. The porosity of soil samples ranging from 40.96 to 46.06%. The pH ranged from 5.85 to 6.45. The EC value of collected soils ranged from 3.10 to 5.12 dSm-1. The total nitrogen and organic carbon content was low to medium. The exchangeable sodium and potassium content of soils ranged from 9.22 to 18.47 meq 100g-1 and 0.16 to 0.27 meq 100g-1, respectively. The available sulphur and phosphorus content of soils ranged from 17.21 to 33.21 mg kg-1 and 17.12 to 33.09 mg kg-1, respectively. The results revealed that the soils of the study area were slightly to moderately saline and thus the nutrients present in the soils were low to medium level. Hence, salinity problem of soils should be considered before agricultural planning in the study area.
Cloning and sequence analysis of Astacin like metalloproteinase gene from Indian oyster, Magallana bilineata (Röding, 1798)

Astacins are a group of zinc-dependent metalloproteases with diverse roles in biological systems such as embryonic development, connective tissue remodelling, digestion, and processing of biologically active peptides. This paper describes the cloning of an Astacin like metalloproteinase ( Mbi-ALMP ) from the digestive tissues of Magallana bilineata . The Mbi-ALMP encodes a deduced 440 amino acid protein which includes an N-terminal signal peptide. The Mbi-ALMP possesses several of the characteristic features of the Astacin family like the pro-peptide domain, Astacin catalytic domain with Zinc binding motif, and met-turn, followed by a MAM (meprin, A5 protein, receptor protein-tyrosine phosphatase µ) carboxy-terminal domain. Amino acid sequence alignment and phylogenetic analysis of the protease domain indicate Mbi-ALMP to have a high degree of sequence homology to other Astacin like from different species.
RELATED PARTY TRANSACTIONS AND EARNINGS MANAGEMENT: THE MODERATING ROLE OF THE AUDIT COMMITTEE

Recent corporate scandals have drawn attention to related party transactions (RPTs) and particularly to the influence of these transactions on financial reporting quality. However, the literature that analyzes the relation between RPTs and earnings management is very scarce and focused on East Asian countries. On the current paper, we extend this line of research by analyzing the relation between RPTs and earnings management in a Continental European setting. By using a sample of Spanish listed firms over the period 2004-2014, we find a positive relation between the amount of RPTs and accruals earnings management. Further analysis shows that financial reporting discretion is less predictive of future operating cash flows in firms engaging in RPTs. Finally, we provide empirical evidence on the role of the audit committee for the relation between RPTs and earnings management. Particularly, our results reveal that an audit committee, which meets the best audit committee guidelines, moderates the positive association between RPTs and earnings management.
Designing with generative systems

The goal of this paper is to provide the theoretical foundations for the study of the creative processes involved in designing with generative systems. To do so, by a two-layered literature review. First, creativity, generalist creative processes and creative processes in design are approached. Then, we resort to specific models and concepts of generative design, computational end, the contribution of this work takes shape as a the process in question, such as the important role of computational thinking and the implications of a characteristic layer of abstraction that