Miracle-dz/UniFAR-FTUs huggingface dataset:
PROGRAMA DE DOCTORADO EN TECNOLOGÍAS DE LA INFORMACIÓN Y LAS COMUNICACIONES TESIS DOCTORAL EVALUACIÓN DEL CONTROL DEL NIVEL DE GLUCOSA EN SANGRE EN PACIENTES DIABÉTICOS TIPO 1 USANDO APRENDIZAJE REFORZADO

Patients with Type 1 diabetes are required to closely monitor their blood glucose levels and administer insulin to manage them. Automated glucose control methods that eliminate the need for human intervention have been proposed, and recently, reinforcement learning, a type of machine learning algorithm, has been used as an effective control method in simulated environments. Currently, the methods used for diabetes patients, such as the basal-bolus regime and continuous glucose monitors, have limitations and still require manual intervention. The PID controllers are widely used for their simplicity and robustness, but they are sensitive to external factors affecting their effectiveness. The existing works in the research literature have mainly focused on improving the accuracy of these control algorithms. However, there is still room for improvement regarding adaptability to individual patients. The next phase of research aims to further optimize the current methods and adapt the algorithms to better control blood glucose levels. Machine learning proposals have paved the way partially, but they can generate generic models with limited adaptability. One potential solution is to use reinforcement learning (RL) to train the algorithms based on individual patient data. In this thesis, we propose a closed-loop control for blood glucose levels based on deep reinforcement learning. We describe the initial evaluation of several alternatives conducted on a realistic simulator of the glucoregulatory system and propose a particular implementation strategy based on reducing the frequency of the observations and rewards passed to the agent, and using a simple reward function. We train agents with that strategy for three groups of patient classes, evaluate and compare it with alternative control baselines. Our results show that our method with Proximal Policy Optimization is able to outperform baselines as well as similar recent proposals, by achieving longer periods of safe glycemic state and low risk. As an extension of the previous contribution, we have noticed that, practical application of blood glucose control algorithms would necessitate trial-and-error interaction with patients, which could be a limitation for effectively training the system. As an alternative, offline reinforcement learning does not require interaction with subjects and preliminary research suggests that promising results can be achieved with datasets obtained offline, similar to classical machine learning
PLEASE NOTE! THIS IS PARALLEL PUBLISHED VERSION / SELF-ARCHIVED VERSION OF THE OF THE ORIGINAL ARTICLE

Training neural networks with captured real-world network data may fail to ascertain whether or not the network architecture is capable of learning the types of correlations expected to be present in real data. In this paper we outline a statistical model aimed at assessing the learning capability of neural network-based intrusion detection system. We explore the possibility of using data from statistical simulations to ascertain that the network is capable of learning so called precursor patterns. These patterns seek to assess if the network can learn likely statistical properties, and detect when a given input does not have those properties and is anomalous. We train a neural network using synthetic data and create several test datasets where the key statistical properties are altered. Based on our findings, the network is capable of detecting the anomalous data with high probability.
A Cinnamomum cassia, a kínai orvoslás fontos gyógynövénye A fahéjszármazékok kontroll nélküli alkalmazásának veszélyei

A fahéj Délkelet-Ázsiából származó fűszerés gyógynövény. A babérfélék családjába tartozó fahéjnak két fő faja és több száz fajtája ismert. A fő fajok ‒ a Cinnamomum cassia (vagy Cinnamomum aromaticum) és a Cinnamomum zeylanicum (vagy Cinnamomum verum) kéregdrogok ‒ gyógyító hatása évezredek óta ismert és kedvelt a délkelet-ázsiai népesség körében. Illóolajaik mind a Magyar (Ph. Hg. VIII.), mind az Európai (Ph. Eur. 9.0) Gyógyszerkönyvben szerepelnek. A hagyományos kínai orvoslás gyógynövényei közé tartozó Cinnamomum aromaticum Nees (Lauraceae) fahéjfa örökzöld. A C. cassia fa őshonos Kínában, Vietnamban és Japánban. Dél-Amerikában, Mexikóban és Afrikában nagy területeken termesztik. A fa gyakran a 8–10 m-es magasságot is eléri. Kérgét 40–50 cm-es darabokban távolítják el, majd a kérget darabolják, porítják, előkészítik különböző készítmények előállítására. A Cinnamomum zeylanicum Nees (ceyloni fahéj), vagy „valódi fahéj”, őshonos Srí Lankán (Ceylon), a környező szigetvilágban és Indiában. Termesztik például Iránban. Közepes méretű, örökzöld fa. Drogja értékesebb, mert illóolaj-tartalma magasabb, mint a C. cassia Blume fajoké. Paráját és elsődleges kérgét együtt hántják le, és a megtisztított kérget dolgozzák fel gyógyhatású termékekben [1]. A mindkét fajban megtalálható fő hatóanyag a fahéjaldehid [2]. A két fahéjfaj közötti legfontosabb különbség a kumarintartalomban van. A ceyloni fahéjban a kumarintartalom elhanyagolható, míg a C. cassia kumarinszintje jelentős. A kumarinok között véralvadásgátló és hepatotoxicus származékok ismertek [3]. Kínában évszázadok óta különböző betegségek kezelésére alkalmazzák a C. cassia fajokból készült Gui Zhi és Rou Gui készítményeket [1, 4].
Subnational institutionals, political capital, and the internationalization of entrepreneurial firms in emerging economies

This study advances the institution-based view of strategy by integrating it with firm-specific capability considerations. In particular, we investigate the integrative influence of subnational-level home country institutional environments and firm-level political capital, as an important way to seek resources, on emerging economy entrepreneurial firms’ internationalization. With data from Chinese entrepreneurial firms, we find that the development of subnational institutional environments in the home country is related to firms’ degree of internationalization. Furthermore, while political capital with low-level governments enhances the effect of subnational institutions on internationalization, political capital with high levels of government has no such moderation effect. Theoretical and empirical contributions and implications are discussed.
Selective processing of drug cues in heroin dependence

Previous studies provide evidence for the selective processing of disorder related stimuli on anxiety, depression, and eating disorders. There exist some preliminary indications that selective processing of drug cues may be involved in drug craving and relapse that deserve further investigation. In order to investigate the role of processing bias in an abnormal motivational system, the attentional bias for drug related stimuli was studied in a heroin dependent population. Heroin dependent participants (n = 21) and control participants (n= 30) performed a supra-and subliminal heroin Stroop task and heroin craving was assessed. Heroin dependent participants showed a considerable attentional bias for supraliminally presented heroin cues. However, there was no evidence for a preattentive bias on the subliminal presented cues. Reaction time on heroin cues was significantly predicted by heroin craving-levels. Results indicate that selective processing may be related to motivational induced states in general. The finding are discussed in the context of selective information processing in general psychopathology and in motivational processes as addiction specifically.
Impaired glucose homeostasis and mitochondrial abnormalities in offspring of rats fed a fat-rich diet in pregnancy.

We previously reported that prenatal and suckling exposure to a maternal diet rich in animal fat leads to cardiovascular dysfunction in young adult rat offspring with subsequent development of dyslipidemia and hyperglycemia. We have further investigated glucose homeostasis in adult female offspring by euglycemic-hyperinsulinemic clamp and by dynamic assessment of glucose-stimulated insulin secretion in isolated, perifused pancreatic islet cells. Additionally, given the link between reduced mitochondrial DNA (mtDNA) content and the development of type 2 diabetes mellitus, we have measured mtDNA in organs from young adult animals. Sprague-Dawley rats were fed a diet rich in animal fat or normal chow throughout pregnancy and weaning. Infusion of insulin (5 mU.kg(-1). min(-1)) resulted in a higher steady-state plasma insulin concentration in 1-year-old offspring of fat-fed dams (OHF, n = 4) vs. offspring of control dams (OC, n = 4, P < 0.01). Glucose-stimulated insulin secretion in isolated islets from 9-mo-old OHF was significantly reduced compared with OC (n = 4, P < 0.05). Transmission electron micrography showed altered insulin secretory granule morphology in OHF pancreatic beta-cells. Kidney mtDNA was reduced in 3-mo-old OHF [16S-to-18S gene ratio: OC (n = 10) 1.05 +/- 0.19 vs. OHF (n = 10) 0.66 +/- 0.06, P < 0.05]. At 6 mo, gene chip microarray of OHF aorta showed reduced expression of the mitochondrial genome. Prenatal and suckling exposure to a diet rich in animal fat leads to whole body insulin resistance and pancreatic beta-cell dysfunction in adulthood, which is preceded by reduced tissue mtDNA content and altered mitochondrial gene expression.
Examining Committee

Wellbore seismic measurements were recorded in the Lake Bosumtwi impact structure, Ghana, in 2004. A full range of petrophysical measurements were also performed in the laboratory on core samples from the same boreholes. The Vertical Seismic Profile shows low velocities for both P and S waves in the hardrock basement of the crater. Although we were expected to locate fractures within the rock, no upgoing waves were detected. Density and porosity measurements on the core samples indicate higher than normal porosity in the impact damaged rocks. Mercury porosimetry and SEM analysis characterized the pores as impact induced microcracks. These microcracks are most likely the reason for the low velocities observed on the seismic profiles, the in situ sonic logs, and the seismic velocity measurements on the core samples. Furthermore our laboratory P and S velocities measurements indicate a strong heterogeneity within the impactites.
PB3C-CNN: An integrated Parallel Big Bang-Big Crunch and CNN based approach for plant leaf classification

Plant identification and classification are critical to understand, protect, and conserve biodiversity. Traditional plant classification requires years of intensive training and experience, making it difficult for others to classify plants. Plant leaf classification is a challenging issue as similar features appear in different plant species. With the development of automated image-based classification, machine learning (ML) is becoming very popular. Deep learning (DL) methods have significantly improved plant image identification and classification. In the last decade, convolutional neural networks (CNN) have entirely dominated the field of computer vision, showing outstanding feature extraction capabilities and significant identification and classification performance. The capability of CNN lies in its network. The primary strategy to continue this trend in the literature relies on further scaling networks in size. However due to increase in network size, costs increase rapidly, while performance improvements may be marginal. Hence, there is a need to optimize the CNN network to get the desired result with optimal size of machine learning model. This paper proposes a parallel big bang-big crunch (PB3C) based approach to automatically evolve the architecture of CNN. The proposed approach is validated on plant leaf classification application and compared with other existing machine learning-based approaches. From the comparision results we observed that the obtained it was found that the proposed approach was able to outperforms all the 11 existing state-of-the-art techniques.
THE MAGNOCELLULAR THEORY OF DYSLEXIA: AN OVERVIEW, SUB-CATEGORIES AND APPLICATION IN TEACHING

Worldwide, the acquisition of competent reading skills is recognised as one of the fundamental aspects in education since reading forms the basis of all academic learning. Notwithstanding this, the number of learners who do not perform well at school due to low reading levels seems to be increasing over the years in most African countries. A significant number of these is diagnosed to be dyslexic. In view of this, several researchers have taken great strides to develop theories that define dyslexia. However, none of these has managed to give an inclusive and convincing argument that is relevant in all contexts. This article therefore, focuses on the magnocellular theory in its attempt to combine the hypotheses of all major theories of dyslexia in explaining the experiences encountered by affected learners. An overview of this theory and its application in the teaching and learning process is examined as the discussion unfolds. Article visualizations:
Influence of tree crown characteristics on the local distribution inside an urban street canyon in Antwerp (Belgium) : a model and experimental approach Reference:

7 Apart from influencing the amount of leaf-deposited particles, tree crown morphology will influence 8 the local distribution of atmospheric particles. Nevertheless, tree crowns are often represented very 9 rudimentary in three-dimensional air quality models. Therefore, the influence of tree crown 10 representation on the local ambient PM10 concentration and resulting leaf-deposited PM10 mass was 11 evaluated, using the three-dimensional computational fluid dynamics (CFD) model ENVI-met and 12 ground-based LiDAR imaging. The modelled leaf-deposited PM10 mass was compared to gravimetric 13 results within three different particle size fractions (0.2 3, 3 10 and >10 μm), obtained at 20 locations 14 within the tree crown. Modelling of the LiDAR-derived tree crown resulted in altered atmospheric PM10 15 concentrations in the vicinity of the tree crown. Although this model study was limited to a single tree 16 and model configuration, our results demonstrate that improving tree crown characteristics (shape, 17 dimensions and LAD) affects the resulting local PM10 distribution in ENVI-met. An accurate tree crown 18 representation seems, therefore, of great importance when aiming at modelling the local PM 19 distribution. 20
Animal Cytogenetics and Comparative Mapping

ABC Fax + 41 61 306 12 34 E-mail karger@karger.ch www.karger. com © 2001 S. Karger AG, Basel 0301–0171/01/0924–0304$17.50/0 Accessible online at: www.karger. com/journals/ccg Abstract. We identified new transcribed sequences, using a differential display paradigm to select genes expressed in proliferating neuroblasts from mouse telencephalon at 10 days of embryonic development. In this systematic search, we isolated a 361-bp partial 3) untranslated region (3) UTR) homologous to the 3) UTR of the human gene encoding a putative intracellular kinase regulator, glia maturation factor beta (GMFB). We cloned a full-length, 4,311-bp mouse cDNA containing a 270bp 5) UTR, a 3,615-bp 3) UTR, and an open reading frame of 426 nucleotides encoding a putative 142 amino-acid protein, identical to human GMFB, with the exception of two amino acids. This 4.3-kb transcript is present in a variety of adult tissues and is developmentally regulated as shown by Northern blot analysis. Differential expression in telencephalon was demonstrated by quantification of radioactive relative RTPCR and confirmed by in situ hybridization. The isolation of this full-length clone of mouse Gmfb should facilitate investigation of the intracellular mechanisms involved in the development of telencephalon.
Animal Cytogenetics and Comparative Mapping

ABC Fax + 41 61 306 12 34 E-mail karger@karger.ch www.karger. com © 2004 S. Karger AG, Basel 0301–0171/04/1051–0107$21.00/0 Accessible online at: www.karger. com/cgr Abstract. Mutations in the human vitelliform macular dystrophy type 2 (VMD2) gene are known to cause autosomal dominant Best macular dystrophy (BMD), a degenerative disorder of the central retina. VMD2, together with VMD2L1, VMD2L2 and VMD2L3, belong to a closely related gene family characterized by several transmembrane (TM) spanning helical domains and an invariant arginine, phenylalanine and proline (RFP) tripeptide motif, thus termed VMD2 RFP-TM. The four genes are thought to encode a novel family of anion channels. We now report the cloning and characterization of the murine orthologs by combining biocomputational analyses and molecular genetic approaches. While the murine Vmd2, Vmd2l1 and Vmd2l3 genes are functional, murine Vmd2l2p was found to be a non-transcribed pseudogene. Expression profiling of the murine Vmd2 RFP-TM family members revealed tissue-restricted expression with predominant transcription of Vmd2 in testis, of Vmd2l1 in colon and of Vmd2l3 in heart. Differential splicing was observed for Vmd2l3 in a number of tissues (e.g. in brain, retina/RPE, kidney) although the functional importance of the splice variants remains to be determined.
A tool for deploying IoT sensor networks at large scale

Internet of Things (IoT) technology has the potential to revolutionise several domains of everyday life, including the healthcare sector. In order to reach its full potential, IoT technology needs to be evaluated in the real world, beyond controlled environments, such as laboratories and test-beds. SPHERE is an experimental sensing platform for healthcare in a residential environment. Unlike other similar smart home health systems, SPHERE is deployed in a large number of properties of volunteers. Based on our experiences and lessons learned from SPHERE’s large-scale deployments, this paper focuses on the challenge of eﬀectively managing the sensor installation overhead, aiming at supporting our deployment technicians with achieving a satisfactory deployment throughput. In this context, this paper presents the SPHERE Deployment Manager: an open-source tool that facilitates the deployment of bespoke IoT networks by technicians that are not experts in IoT technology. We believe that the SPHERE Deployment Manager is a tool that can accelerate future IoT research deployments of similar nature and scale.
Model Predictive Control-Based Virtual Inertia Emulator for an Islanded Alternating Current Microgrid

—Conventional primary control employs outer-loop droop and inner-loop cascaded linear control to realize local voltage regulation and power-sharing of an islanded ac microgrid. However, it has a complex structure, limited dynamic response and a rapid rate of change of frequency when disturbances occur. This paper resolves these issues by proposing a model predictive control based virtual synchronous generator (VSG-MPC). An improved ﬁnite-set MPC is ﬁrst proposed for the inner loop, achieving simpli-ﬁed control structure, faster dynamic response, enhanced bandwidth and stability, as well as improved current limitation. In the outer control loop, a simpliﬁed VSG without a phase-locked loop is employed to realize active power-sharing and inertia emulation. The merits above are veriﬁed by a description function of MPC and the frequency-domain response of the overall VSG. Simulation and experimental results verify the feasibility of the proposed method.
Mental health literacy among Afghan adults: A community-based cross-sectional survey study in Herat city

Background: Health literacy has been defined as the ability to gain access to, understand, and use information in ways which promote and maintain good health. The significance of mental health literacy (MHL)is evolving as a modifiable contributing factor to mental health. This study was undertaken to assess the awareness and attitudes of Afghans on mental disorders. Methods: A cross-sectional survey was administered in August 2022 among Afghans (N=768) living in the Herat province of Afghanistan. The survey examined knowledge and attitude of participants on mental disorders. Results: Generally, most of the participants (99.1%) had poor mental health literacy. 99.4% of participants with an age range of 36-90 years had poor mental health literacy. Almost three-quarter of the participants had poor knowledge of the ability to recognize disorders (72.5%). Less than one-thirds of the participants had good knowledge of where to seek information (29.4%). Conclusion: Mental health literacy rate was found very low among Afghan population. Socio-economic variables found significantly associated with MHL was educational level, economic status, and employment status. Considering the high prevalence of mental disorders in Afghanistan, the government and related non-governmental organizations should implement awareness campaign to increase the knowledge of Afghan people on mental disorders.
Invited Paper Distributed Optical Fiber Pressure Sensors

The measurement of pressure by using distributed optical ﬁ ber sensors has represented a challenge for many years. While single-point optical ﬁ ber pressure sensors have reached a solid level of technology maturity, showing to be very good candidates in replacing conventional electrical sensors due to their numerous advantages, distributed sensors are still a matter of an intense research activity aimed at determining the most proper and robust pressure-sensitivity enhancement mechanism. This paper reviews early and recent works on distributed pressure sensors, classifying the sensors according to the sensing mechanism. For each type of mechanism, the issues and potentials are analyzed and discussed.
University of Birmingham Effect of surfactant addition and viscosity of the continuous phase on flow fields and kinetics of drop formation in a flow-focusing microfluidic device

Droplet formation in a flow focusing microfluidic device was studied for capillary numbers between 10 -4 and 10 -1 . The addition of a cationic surfactant to the dispersed phase and the effect of the continuous phase viscosity on droplet size, neck kinetics and flow fields inside the drop was investigated. Droplet size decreased with an increase of the capillary number following a power law with an exponent dependent on drop confinement. At 1-3 ms before pinch-off, the neck thinning rate is dependent on surfactant concentration and increases closer to pinch-off. For the 96 mPa∙s continuous phase, the two-fluid Stokes regime is observed with an effective interfacial tension smaller than the equilibrium value, suggesting a negative contribution of Marangoni stresses. During necking, velocities along the neck interface for the surfactant laden cases are smaller due to Marangoni phenomena. During expansion, increased fluid velocities and recirculation are observed.
Folded Terahertz Antenna based on M oS 2 and Gold for Biomedical Imaging

—This paper presents a hybrid antenna design for terahertz communication. The proposed antenna operates in the frequency range of 0.85 - 0.95 terahertz (THz). Full wave electromagnetic simulations show that combination of molybdenum disulﬁde MoS 2 material and gold improves the antenna efﬁciency from around 60% to almost 85% in the desired frequency band. The proposed hybrid design can be used in high-resolution imaging and suitable for biomedical applications.