Miracle-dz/UniFAR-FTUs huggingface dataset:
From Trash to Treasure: Experiences from Building Tangible Artifacts out of Discarded Components

Prototyping interactive hardware artifacts is an iterative process that can produce significant amounts of waste. This problem becomes particularly apparent in teaching, when multiple students build the same artifact as an exercise and components can break when used improperly. In the context of a university course on tangible interaction, we explored how material found in the trash could be used as a resource for prototyping interactive artifacts. We could source interesting components and found that a bottom-up prototyping approach based on those components opened up new design spaces. Furthermore, as we relied on trash as a resource, we were able to considerably reduce waste during the course.
The Innovation Breakthrough in Digital and Disruptive Era

Creative thinking is the ability of every individual to process information to build new ideas that are born from encouragement from themselves and their environment. The research objective was to determine the creativity of reflective students (S-R) and impulsive students (S-I) in solving open ended questions. The indicators used to measure student creativity are fluency, flexibility, and originality. The subjects that were targeted in this study were students who were at the VIII grade level of junior high school. The data collection method used was the MFFT (Matching Familiar Figure Test), written tests, and interviews. To categorize students into reflective and impulsive cognitive styles using the MFFT test, while to reveal students' creativity in solving problems using a written test. The results of this study explain that reflective students (S-R) have a level of creative thinking at level 4, namely the very creative category (fluency, flexibility, and originality). While impulsive students (S-I) have a level of creative thinking at level 3, namely the creative category (fluency and flexibility). Reflective students in solving problems better than impulsive students.
Polymeric nanocomposite structure based on functionalized graphene with tunable nervous tissue replacement for properties

Electroconductive scaffolds can be a promising approach to repair conductive tissue when natural healing fails. Recently, nerve tissue engineering constructs have been widely investigated due to the challenges in creating a structure with optimized physiochemical and mechanical properties close to the native tissue. The goal of the current study was to fabricate a graphene containing polycaprolactone/ gelatin/ polypyrrole (PCL/ gelatin/ PPy) and polycaprolactone/ polyglycerol-sebacate/ polypyrrole (PCL/PGS/Ppy) with intrinsic electrical properties, through electrospinning process. The effect of graphene on the properties of PCL/gelatin/PPy and PCL/PGS/PPy were investigated. Results demonstrated that graphene incorporation remarkably modulated the physical and mechanical properties of the scaffolds such that the electrical conductivity increased from 0.1 to 3.9 ± 0.3 S.m -1 (from 0 wt.% to 3 wt.% graphene) and toughness was found to be 76 MPa (PCL/gelatin/PPy 3 wt.% graphene) and 143.4 MPa (PCL/PGS/PPy 3 wt.% graphene). Also, the elastic moduli of the scaffolds with 0, 1 and 2 wt. % graphene was reported as 210, 300 and 340 kPa in PCL/gelatin/PPy system and 72, 85 and 92 kPa for PCL/PGS/PPy system. Cell viability study demonstrated the non-cytotoxic nature of the resultant scaffolds. The sum of results presented in this study suggest that both PCL/gelatin/PPy/graphene and PCL/PGS/PPy/graphene compositions could be a promising biomaterial for a range of conductive tissue replacement or regeneration applications.
Bi-matrix Games with 2-tuple Linguistic Information

—A new type of bi-matrix game called the bi-matrix game with 2-tuple linguistic information is proposed and the linguistic linear programming model is used to obtain the mixed set. The problem of linguistic information is transformed into a mathematical problem that can be solved quickly, which reduces the uncertainty and complexity caused by linguistic information. This paper takes the media industry as an example to illustrate the superiority and effectiveness of the bi-matrix game with 2-tuple linguistic information.
Transportation Research Part C

Collaborative vehicle routing occurs when carriers collaborate through sharing their transportation requests and performing transportation requests on behalf of each other. This achieves economies of scale, thus reducing cost, greenhouse gas emissions and road congestion. But which carrier should partner with whom, and how much should each carrier be compensated? Traditional game theoretic solution concepts are expensive to calculate as the characteristic function scales exponentially with the number of agents. This would require solving the vehicle routing problem (NP-hard) an exponential number of times. We therefore propose to model this problem as a coalitional bargaining game solved using deep multi-agent reinforcement learning, where – crucially – agents are not given access to the characteristic function. Instead, we implicitly reason about the characteristic function; thus, when deployed in production, we only need to evaluate the expensive post-collaboration vehicle routing problem once. Our contribution is that we are the first to consider both the route allocation problem and gain sharing problem simultaneously — without access to the expensive characteristic function. Through decentralised machine learning, our agents bargain with each other and agree to outcomes that correlate well with the Shapley value — a fair profit allocation mechanism. Importantly, we are able to achieve a reduction in run-time of 88%.
Mitigating the Harmful Effect of Irrigation Salinity on Poinsettia Plants by Using of Koalin Antitranspirant

: Nowadays, particle film technology is one of the major ways for the modern production systems, especially under abiotic stress. So, this investigation was performed at the nursery of Hort. Res. Inst. , ARC, Giza Egypt during 2020 and 2021 seasons under plastic house conditions to find out the role of spraying with kaolin emulsion at 0, 3 and 5 % concentrations, three times at month’s intervals on the foliage of poinsettia ( Euphorbia pulcherrima Wild. Ex. Klotzsch) transplants irrigated with saline water at concentrations of 0, 1000, 3000 and 5000 ppm in reducing the deleterious effect of this saline water. The effect of interactions between koalin levels and salinity ones was also studied in a factorial experiment based on a complete randomized design, replicated thrice. Results of this study showed that mean values of most vegetative and root growth parameters were significantly increased over those of control and the other salinity treatments by 1000 ppm saline water treatment, which followed by 3000 ppm level. However, the least means recorded in the two seasons were attained by 5000 ppm salinity treatment. On the other hand, spraying with kaolin emulsion at 3 or 5 % induced a significant increment in the means of various growth traits, with the superiority of 3 % level with few exceptions. The combining between any level of kaolin and any one of salinity significantly improved means of the different growth characters and the combination of 1000 ppm saline water and 3 % kaolin gave the utmost high means recorded in the two seasons. A similar trend was also obtained regarding flowering characteristics and the percentage of salinity resistance index (SRI %), but the opposite was the right concerning chemical composition of the leaves, as the concentrations of chlorophyll a, b, carotenoids, total carbohydrates, N and P were gradually decreased with increasing salinity level, whereas concentrations of K, Na and proline were progressively increased. Moreover, both levels of kaolin increased chlorophyll a, total carbohydrates, N, P, K and proline concentrations, with the dominance of 3 % level, whilst concentrations of chlorophyll b, carotenoids and Na were linearly decreased as a result of the progressive increasing in kaolin level. The interaction treatments however, showed a fluctuated effect on the concentrations of the previous constituents. So, it can be recommended to spray the foliage of potted poinsettia plants irrigated with saline water up to 000 ppm concentration with 3 % kaolin emulsion, three times at monthly intervals during the growing period to obtain the best performance of growth and flowering.
Cytomegalovirus encephalitis in an immunocompetent child: a sceptic diagnosis

The authors present the case of an apparently immunocompetent 9-year-old child with probable cytomegalovirus encephalitis. The clinical picture was characterised by fever, frontal headache and behavioural changes, associated with visual and auditory hallucinations. Cerebrospinal fluid (CSF) biochemistry and brain CT were normal. Electroencephalography showed left temporal paroxysmal activity. Diagnosis was based on cytomegalovirus (CMV) DNA detection on the CSF by PCR. Acyclovir and ceftriaxone were given until herpes simplex virus (HSV) and bacterial encephalitis were ruled out. Rapid resolution of fever and complete clinical recovery was observed. Remarkably, anti-CMV serum antibodies were not detected on admission or until 6 months later. This discrepancy led us to question the presence of an impaired specific host humoral response, immune evasion by the virus or a false-positive result for CMV DNA in CSF.
UvA-DARE ( Digital Academic Repository ) Embryonic stem cell-derived cardiomyocytes

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MoCaPose: Motion Capturing with Textile-integrated Capacitive Sensors in Design-centric Loose-fitting Smart Garments

We present MoCaPose, a novel wearable motion capturing (MoCap) approach to continuously track the wearer’ upper body’s dynamic poses through multi-channel capacitive sensing integrated in fashionable, loose-fitting jackets. Unlike conventional wearable IMU MoCap based on inverse dynamics, MoCaPose decouples the sensor position from the pose system. MoCaPose uses a deep regressor to continuously predict the 3D upper body joints coordinates from 16-channel textile capacitive sensors, unbound by specific applications. The concept is implemented through two iterations of prototypes to first solve the technical challenges, then establish the textile integration through fashion-technology co-design towards a design-centric smart garment. A 38-hour dataset of synchronized video and capacitive data from 21 participants was recorded for validation. The motion tracking result was validated on multiple levels from statistics ( 𝑅 2 ∼ 0 . 91) and motion tracking metrics ( 𝑀𝑃𝐽𝑃𝐸 ∼ 86 𝑚𝑚 ) to the usability in pose and motion recognition (0.9 F1 for 10-class classification with unsupervised class discovery). While the sensor placement within the jacket is not fully arbitrary, the sensing requirements impose few constraints on the actual fashion design. Overall, MoCaPose demonstrates that textile-based capacitive sensing with its unique advantages, can be a promising alternative for wearable motion tracking and other relevant wearable motion recognition applications.
Solid-state vibrational circular dichroism for pharmaceutical purposes

X-ray diffraction is commonly used in the pharmaceutical industry to determine the atomic and molecular structure of crystals. However, it is costly, sometimes time-consuming, and it requires a considerable degree of expertise. Vibrational circular dichroism (VCD) spectroscopy overcomes these drawbacks while also being highly sensitive to small changes in conformation and molecular packing in the solid phase. Here, we investigate the ability of VCD to distinguish between different crystal forms of the same molecule (polymorphs) and, thereby, identify those with the greatest pharmaceutical potential. First, we developed a universal experimental approach for obtaining reliable and reproducible solid-phase VCD spectra. Using three amino acids (serine, alanine, tyrosine) and one hydroxy acid (tartaric acid) as model pharmaceutical ingredients we investigated an effect of various experimental conditions on resulting VCD spectra. Solid samples were prepared using two techniques: (i) suspension of each model compound in oil (mulling agent); (ii) mixture of the model compound and crystalline powder (matrix) compressed into a pellet. Additionally, to achieve artifact-free results with a maximal signal-to-noise ratio, the following experimental conditions were optimized: time of spectral acquisition (0.5 ‒ 3h), mulling agent (Nujol, fluorolube), pellet size (0.7 and 20 mm in diameter) and pellet matrix (KBr, KCl, CsI). Then, the optimized approach was successfully applied to distinguish three polymorphs of the antiviral drug sofosbuvir. Our results suggest that solid-state VCD represents a relatively rapid, cost-effective, and easy-to-use structural probe for the identification of crystal structures, with potential use in pharmaceutics.
Reviews in Chemical Engineering

Multiphase flows with momentum, heat, and mass transfer exist widely in a variety of industrial applications. With the rapid development of numerical algorithms and computer capacity, advanced numerical simulation has become a promising tool in investigating multiphase transport problems. Immersed boundary (IB) method has recently emerged as such a popular interface capturing method for efficient simulations of multiphase flows, and significant achievements have been obtained. In this review, we attempt to give an overview of recent progresses on IB method for multiphase transport phenomena. Firstly, the governing equations, the basic ideas, and different boundary conditions for the IB methods are introduced. This is followed by numerical strategies, from which the IB methods are classified into two types, namely the artificial boundary method and the authentic boundary method. Discussions on the implementation of various boundary conditions at the interphase surface with momentum, heat, and mass transfer for different IB methods are then presented, together with a summary. Then, the state-of-the-art applications of IB methods to multiphase flows, including the isothermal flows, the heat transfer flows, and the mass transfer problems are outlined, with particular emphasis on the latter two topics. Finally, the conclusions and future challenges are identified.
Antioxidant, Anti-Inflammatory and Anticancer Activities of Thymoquinone: A Review

: Nigella sativa (black seed) (Family Ranunculaceae ) is a broadly utilized medicinal herb all over the world. It is popular in traditional medicine for many centuries to treat different diseases. Besides, the potential role of black seed as dietary supplement with negligible side effects, many studies exhibited that N. sativa is very effective against different diseases such as cancer, diabetes, inflammatory, cardiovascular, respiratory, neurological, digestive, skin and infectious disorders. Furthermore, when combined with varied conventional chemoremedial agents, black seed synergizes their influences leading to decreasing the dosage of concurrently used drugs with better effectiveness and slightest toxicity. There is also recently great interest in the natural bioactive ingredients from medicinal plants having anticancer properties. Amongst varied active components , thymoquinone (TQ), the chief active component of N. sativa has optimistic characteristics including antioxidant, anti-inflammatory and anticancer activities. Anticancer effects of TQ are achieved by varied mechanisms like apoptosis enhancement and cell cycle arrest. TQ also regulates angiogenesis and cancer metastasis. It promotes immunity and reduces the side effects linked with conventional anticancer therapy. The present review focuses on the antioxidant, anti-inflammatory and anticancer activities of thymoquinone.
Linkages between agriculture and nutrition: implications for policy and research

This paper reviews the important links between agriculture and nutrition and in doing so tries to elucidate whatis known about the linkages between agricultural research, technological change in agriculture, and nutrition. Using lessons learned from prior experience, the paper identifies agricultural policies and programs that offer a high potential of bringing about improvements in the health andnutritional status of the population. The next chapter provides a conceptual framework outlining the links between agricutlural research, agricultural and food policies, and nutritional status. This is followed by a chapter that summarizes the major areas of agricultural research over the past20-30 years. In this chapter, research is defined in a broad sense and thus includes both basic biological research as well as the more applied, policy-oriented research. Next is a review of how this investment in agricultural research has influenced the agricultural technologies that have beenimplemented in developing countries. Another chapter is devoted to other, non-technological issues that can affect the success of agricultural innovations in alleviating malnutrition. Finally, the paper identifies areas for future agricultural research and government policy that offer a highpotential for nutritional impact
Show Me What You’ve Learned: Applying Cooperative Machine Learning for the Semi-Automated Annotation of Social Signals

In this paper we suggest the use of Cooperative Machine Learning (CML) to reduce manual labelling efforts while simultaneously generating an intuitive understanding of the learning process of a clas-siﬁcation system. To this end, we introduce the open-source tool NOVA, which aims to combine human intelligence and machine learning to annotate social signals in large multi-modal corpora. NOVA features a semi-automated labelling process in which users are provided with immediate visual feedback on the predictions, which affords insights into the strengths and weaknesses of the underlying classiﬁcation system. Following an interactive and exploratory workﬂow, the performance of the model can be improved by manual revision of the predictions, a process that uses conﬁdence values to guide the inspection.
THz Analysis in the Depth of a Sunﬂ ower Leaf

The internal structure of a sunﬂ ower leaf could be reconstructed by applying RET reverse engineering techniques on measurements from terahertz time-domain probing (Time Domain Spectroscopy TDS). This new and non-destructive method allows us to follow the evolution of this structure in time during a process of dehydration. This paper is a synthesis of our previous work.
AISB’05: Social Intelligence and Interaction in Animals, Robots and Agents

In order to build embodied conversational agents that are able to communicate with the user in a more natural manner, the consideration of social aspects seems inevitable. One aspect of social interaction is the use of politeness strategies. In this paper, we report on a corpus study we conducted in order to shed light on the co-occurrence of gestures and verbal politeness strategies in face threatening situations. The results of the study will be used to inform rules for the selection of gestures in an ECA.
. comparison of clinical outcome with initial MR imaging of perinatal brain damage:

BACKGROUND AND PURPOSE: The purpose of our study was to determine whether MR studies in the neonatal period are predictive of the neuroradiologic sequelae and clinical outcome in premature and term infants with perinatal brain injury. METHODS: Thirty subjects (15 premature and 15 term infants) with abnormalities revealed by initial MR studies were reexamined approximately 1 year after birth with both MR imaging and a neurologic assessment. All initial MR studies were performed between 35 and 45 weeks corrected age in premature infants and within 28 days of life in term infants. The initial MR studies were evaluated for deep gray matter involvement, hemispheric parenchymal change, intracranial hemorrhage, and periventricular signal and/or morphologic changes. These MR findings were compared with the follow-up MR findings and with the neurologic outcome. RESULTS: The development of cerebral palsy in premature infants was related to the following initial MR findings: subependymal hemorrhage associated with parenchymal destruction, periventricular signal alteration with irregularity of the ventricular wall, and widespread cerebral infarction. These MR findings were predictive of the subtypes of cerebral palsy. In term asphyxiated infants, T2 signal alterations of the deep gray matter rather than T1 shortening and diffuse involvement of the hemispheres were predictive of an unfavorable outcome. Both in term and premature infants, focal hemispheric parenchymal lesions alone (including infarction and intracerebral, subdural, intraventricular, and subarachnoid hemorrhage) did not produce poor outcomes. CONCLUSION: MR studies performed at or near term in either premature or term infants with perinatal brain damage are effective in predicting both late neuroradiologic and clinical outcome.
Income, Perceived Poverty And Life Satisfaction: Matching Evidence From Nigeria

This study examines the effect of income (objective or perceived) on life-satisfaction in Nigeria. Given the nature of the dataset, we estimated ordered probit regression using objective and self-reported income levels and other covariates. Although objective income is significantly positively associated with higher satisfaction, self-reported income is more robust. We further undertook counterfactual evaluation and confirm that households that are at the lowermost income level are significantly less satisfied in life. Even when compared to households just above them, these households are still less satisfied in life. However, households at the top of the income ladder do not report higher satisfaction than those just below them. The important policy implication for our work is that poverty alleviation can help lift the life satisfaction level of citizens and eradicate the social ills associated with low life satisfaction.
A UTO S CRATCH : ML-O PTIMIZED C ACHE M ANAGEMENT FOR I NFERENCE -O RIENTED GPU S

Taking advantage of the L2 residency control mechanism introduced with NVIDIA’s Ampere GPUs, we propose a Machine Learning (ML) based framework called AutoScratch to automatically discover and optimize the L2 residency for inference-oriented GPUs, effectively removing any human involvement from the optimization loop. AutoScratch bridges the gap between the performance of an explicitly controlled scratchpad memory and the convenience of a hardware-controlled cache. We develop two versions of AutoScratch, AutoScratch-RL harnessing reinforcement learning (RL) and AutoScratch-EA leveraging a state-of-the-art evolutionary algorithm (EA). We integrate AutoScratch with NVIDIA’s TensorRT framework to fully automate the optimization pipeline for arbitrary DL inference applications. We evaluate AutoScratch on NVIDIA’s L4 GPU silicon using MLPerf inference workloads and show that AutoScratch reduces off-chip DRAM traffic by 29% and improves the overall performance by 9% (up to 22%).
UvA-DARE ( Digital Academic Repository ) Cell-derived microparticles : composition and function

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