Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimization of Minimum Power Output for Combined Heat and Power Units Considering Peak Load Regulation Ability

Northern China has rich wind power and photovoltaic renewable resources. Combined Heat and Power (CHP) Units to meet the load demand and limit its peaking capacity in winter, to a certain extent, it results in structural problems of wind-solar power and thermoelectric. To solve these problems, this paper proposes a plurality of units together to ensure supply of heat load on the premise, by building a thermoelectric power peaking considering thermal load unit group dynamic scheduling model, to achieve the potential of different thermoelectric properties peaking units of the excavation. Simulation examples show, if the unit group exists obvious relationship thermoelectric individual differences, the thermal load dynamic scheduling can be more significantly improved overall performance peaking unit group, effectively increase clean energy consumptive.
A mathematical model of nonlinear differential equation for controlling global dynamics of coronavirus disease 2019 (COVID-19)

In this paper, we have introduced new mathematical model of Coronavirus Disease (COVID-19) Transmission Model as a system of six nonlinear differential equations to analyze the spread and control of this latest outbreak pandemic disease. This new mathematical model is analysed with the help of optimal control analysis. The main purpose of this optimal control theory which applied to the model is to show the existence of optimal controllers for the nonlinear dynamic system. Based on the assumptions, we also studied and formulate an optimal control model for a coronavirus disease dynamic system in terms of mathematical differential equations in order to focus the effects of prevention and control measures with minimal implementation cost. Then, we established the basic reproduction number , which makes possible to check whether a prominent infectious disease will continue to spread or not in a susceptible population. The paper was also extended to assess the conditions under which the population will be free of disease. In particular, we focus to include in the mathematical model, quarantine procedure applied to both the infected individuals and to the highly risk of total population, which is expected to be useful.
The effect of skin orientation on biomechanical properties

Skin technology has become a world interest recently and further investigations could improve the current application of skin and leather. Aligning to this, a biomechanical analysis of animal skin is carried out, where the sheepskins are investigated thoroughly using uniaxial tensile tests. The main aim of this study is to compare the biomechanical properties of sheepskin in means of hair effect and orientation layout between horizontal and vertical orientation. The testing specimens are taken from the fresh slaughtered Boer sheepskin and they are prepared into four categories; horizontal (unshaved), horizontal (shaved), vertical (unshaved) and vertical (shaved) according to ASTM International Standard test method for tensile strength of leather (D2209). As a result, the characterisation techniques show that the Ogden s coefficient, μ and Ogden s exponent, α, are 0.369 (MPa) and 7.604 respectively for horizontal (unshaved). However, μ and a for horizontal (shaved) are 0.512 (MPa) and 8.930. In contrast, the value of μ and a for vertical (unshaved) are 0.444 (MPa) and 9.928 and for vertical (shaved) are 0.539 (MPa) and 10.617. This study has contributed to the knowledge of biomechanics especially biomechanical properties of sheepskin. This could be useful for future investigation and analysis of softtissues, hyperelastic modeling and animal dermatology.
Elevated serum levels of interleukin -22 and interleukin-23 in pediatric asthma

Background: There are few studies had addressed the association between serum levels of Interleukin -22 and Interleukin-23 with severity of asthma, this study aims to evaluate whether elevated IL-22 and IL-23 serum levels is related to the severity of asthma. Methods: This study is a case-control study that included 60 asthmatic children (35 male and 25 female) as the patients group age ranged between 4 months to 14 years old, and 60 non-asthmatic (32 male and 28 female) age-matched patients group attending the outpatient clinic were recruited as control group. Serum levels of IL-22 and IL-23 was measured by sandwich ELISA using ELISA kits. Results: The results of this study have shown an elevated serum level of IL-23 in patients group compared with control group with significant (p= 0.008) and there was no significant difference between patients and control regarding IL-22 serum level (p = 0.721) in asthmatic children. Conclusion: According to the current study the serum level of IL-23 showing a significant association with the asthma severity in children.
The Effectiveness of Occupational Therapy Handwriting Intervention for Children with Motor Coordination Issues: A Systematic Review

Handwriting difficulty is one of the main issues among school children, especially for those with motor coordination issues. The aim of this systematic review is to evaluate the effectiveness of occupational therapy interventions in handwriting components for children with motor coordination issues. Current research articles were systematically searched according to the PRISMA guidelines. Two hundred and sixty-eight (n=268) research articles were identified; however, only ten (n=10) were eligible to be evaluated for this study. Studies were appraised by using McMaster Critical Review Form-Quantitative Studies. Descriptive synthesis was executed due to the heterogeneity of included studies. The review found various types of intervention conducted by occupational therapists to have a positive effect on handwriting performance components among children with motor coordination issues. Types of intervention used were visual, motor, perceptual, sensory, activity of daily living skills, training device and assistive technology and specific handwriting programs. Most handwriting intervention showed effectiveness to improve handwriting performance in motor function, visual and perceptual components. Future research should focus on homogeneity of Occupational Therapy (OT) intervention to improve handwriting performance by using specific handwriting programmes and similar standardised evaluation instruments. Practitioners of OT intervention should consider collaboration with teachers, parents and other health professionals to expedite effectiveness of intervention in handwriting performance components.
Modelling the energy consumption in the injection moulding process

Plastic is one of the most widely used materials and injection moulding is the most common manufacturing process to produce plastic parts. Although injection moulding may appear harmless regarding energy consumption, the large scale of this process makes its impacts especially significant and even minor efficiency improvements may lead to high overall energy savings. Moreover, energy consumption affects not only the manufacturing costs but also the manufacturing environmental impact and so it is a critical component in any overall sustainability strategy. This paper presents a model to estimate in an early design phase the energy consumption in the production of injection moulding parts. The proposed model is sensitive to different part designs, different machines and process conditions. An energy balance is proposed, comprising two components, a thermodynamic model and an empirical machine model, integrating coefficients sensitive to both part design and machine characteristics.
Treatment with Ad5-Porcine Interferon-α Attenuates Ebolavirus Disease in Pigs

Under experimental conditions, pigs infected with Ebola Virus (EBOV) develop disease and can readily transmit the virus to non-human primates or pigs. In the event of accidental or intentional EBOV infection of domestic pigs, complex and time-consuming safe depopulation and carcass disposal are expected. Delaying or preventing transmission through a reduction in viral shedding is an absolute necessity to limit the spread of the virus. In this study, we tested whether porcine interferon-α or λ3 (porIFNα or porIFNλ3) delivered by a replication-defective human type 5 adenovirus vector (Ad5-porIFNα or Ad5-porIFNλ3) could limit EBOV replication and shedding in domestic pigs. Our results show that pigs pre-treated with Ad5-porIFNα did not develop measurable clinical signs, did not shed virus RNA, and displayed strongly reduced viral RNA load in tissues. A microarray analysis of peripheral blood mononuclear cells indicated that Ad5-porIFNα treatment led to clear upregulation in immune and inflammatory responses probably involved in protection against disease. Our results indicate that administration of Ad5-porIFNα can potentially be used to limit the spread of EBOV in pigs.
Amelioration of Obesity in Mice Fed a High-Fat Diet with Uronic Acid–Rich Polysaccharides Derived from Tremella fuciformis

Obesity is rapidly becoming an emerging disease in developing countries due to the Westernization of societies and lifestyle changes. This study evaluated the ameliorative effect of acidic heteropolysaccharides derived from Tremella fuciformis (TFPS) on high-fat diet (HFD; 34.9% fat)-induced obesity in mice. The TFPS exhibited high uronic acid content and high viscosity in water. The structural characteristics of TFPS showed that average molecular weight was 679 kDa, and the monosaccharide composition was galactose, glucose, fructose, xylose, fucose, and mannose at a ratio of 1.0:6.5:10.0:18.5:30.5:67.5. In an in vivo study, HFD-induced obese C57BL/6 mice were orally given a TFPS treatment at 1 and 2 g/kg of body weight for 8 weeks. The TFPS treatment significantly reduced features of obesity in the mice, namely weight gain, feed efficiency, body fat percentage, and serum cholesterol level and increased fecal lipid content, compared with mice fed an HFD with water. In addition, TFPS exhibited the inhibition of cholesterol micelles in vitro in a concentration-dependent manner. In conclusion, the TFPS treatment ameliorated the diet-induced obesity in the mice, presumably reducing fat absorption in the intestine by interfering with viscous TFPS.
Model-Driven Approach to Fading-Aware Wireless Network Planning Leveraging Multiobjective Optimization and Deep Learning

Efficient resource planning is recognized as one of the key enablers making the large-scale deployment of next-generation wireless networks available for mass usage. Modelling, planning, and software simulation tools reduce both the time needed and costs of their tuning and realization. In this paper, we propose a model-driven framework for proactive network planning relying on synergy of deep learning and multiobjective optimization. The predictions about service demand and energy consumption are taken into account. Also, the impact of degradations resulting from fading and cochannel interference (CCI) effects is also considered. The optimization task is treated as a component allocation problem (CAP) aiming to find the best possible base station allocation for the considered smart city locations with respect to performance and service demand constraints. The goal is to maximize Quality of Service (QoS) while keeping the costs and energy consumption as low as possible. The adoption of a model-driven approach in combination with model-to-model transformations and automated code generation does not only reduce the complexity, making experimentation more rapid and convenient at the same time, but also increase the overall reusability and expandability of the planning tool. According to the obtained results, the proposed solution seems to be promising not only due to achieved benefits but also regarding the execution time, which is shorter than that achieved in our previous works, especially for larger distances. Further, we adopt model-based representation of handover strategies within the planning tool, enabling examination of the dynamic behavior of user-created plan, which is not exploited in other similar works. The main contributions of the paper are (1) wireless network planning (WNP) metamodel, a modelling notation for network plans; (2) model-to-model transformation for conversion of WNP to generalized CAP metamodel; (3) prediction problem (PP) metamodel, high-level abstraction for representation of prediction-related regression and classification problems; (4) code generator that creates PyTorch neural network from PP representation; (5) service demand and energy consumption prediction modules performing regression; (6) multiobjective optimization model for base station allocation; (7) Handover Strategy (HS) metamodel used for description of dynamic aspects and adaptability relevant to network planning.
Fiber optic macro-bend based sensor for detection of metal loss

Metal loss in metallic structures, often as a result of corrosion, is a severe problem across multiple industries. Catastrophic consequence of structural failure due to such loss of structural metal requires an accurate determination and assessment of corrosion. Widely used electrochemical methods can only suggest the likelihood of the metal loss due to corrosion while failing to provide a quantitative measure of the accumulated amount of corrosion. Due to its unique advantages such as small size, light weight, resistance to electromagnetic interference and corrosion, fiber optic sensing technique has been emerging as a promising alternative for most sensing applications. In this paper, a novel type of ferromagnetic distance-based metal loss sensor is proposed based on the principle of fiber optic macro-bend loss. The proposed sensor is composed of the bended optical fiber, the magnet and a spring. The magnet is connected to the spring and the fiber bend is attached to the spring in such a way that the movement of the magnet will induce a change in bending radius of the optical fiber. Metal loss in the monitored sample increases the distance between the magnet and the metal surface and thereby reducing the magnetic force. A change in magnetic force will lead to the variation in light intensity loss of the fiber optic macro-bend, thus metal loss, such as in the form of corrosion pits, can be detected by the proposed metal loss sensor. The practicality of the proposed distance sensor for metal loss measurement is validated through scanning the fabricated corrosion samples.
Optimization-based Microgrid Energy Management Systems

Energy management strategies for microgrids, containing energy storage, renewable energy sources (RES), and electric vehicles (EVs); which interact with the grid on an individual basis; are presented in Chapter 3. An optimization problem to reduce cost, formulated over a rolling time horizon, using predicted values of load demand, EV connection/disconnection times, and charge levels at time of connection, is described. The solution provides the on-site storage and EV charge/discharge powers. For the first time, both bidirectional and unidirectional charging are considered for EVs and a controller which accommodates uncertainties in EV energy levels and connection/disconnection times is presented. In Chapter 4, a stochastic chance constraints based optimization is described. It affords significant improvement in robustness, over the conventional controller, to uncertainties in system parameters. Simulation results demonstrate that the stochastic controller is at least twice as effective at meeting the desired EV charge level at specific times compared to the non-stochastic version, in the presence of uncertainties. In Chapter 5, a network of microgrids, containing RES and batteries, which trade energy among themselves and with the utility grid is considered. A novel distributed energy management system (EMS), based on a central EMS using a Multi-Objective (MO) Rolling Horizon (RH) scheme, is presented. It uses Alternating Direction iv Method of Multipliers (ADMM) and Quadratic Programming (QP). It is inherently more data-secure and resilient to communication issues than the central EMS. It is shown that using an EMS in the network provides significant economic benefits over MGs connected directly to the grid. Simulations demonstrate that the distributed scheme produced solutions which are very close to those of the central EMS. Simulation results also reveal that the faster, less memory intensive distributed scheme is scalable to larger networks —more than 1000 microgrids as opposed to a few hundreds for the central EMS.
Circulating Biomarkers in Long-Term Stroke Prognosis: A Scoping Review Focusing on the South African Setting

Cerebrovascular disease, including both ischaemic and haemorrhagic strokes, remains one of the highest causes of global morbidity and mortality. Developing nations, such as South Africa (SA), are affected disproportionately. Early identification of stroke patients at risk of poor clinical prognosis may result in improved outcomes. In addition to conventional neuroimaging, the role of predictive biomarkers has been shown to be important. Little data exist on their applicability within SA. This scoping review aimed to evaluate the currently available data pertaining to blood biomarkers that aid in the long-term prognostication of patients following stroke and its potential application in the South African setting. This scoping review followed a 6-stage process to identify and critically review currently available literature pertaining to prognostic biomarkers in stroke. An initial 1191 articles were identified and, following rigorous review, 41 articles were included for the purposes of the scoping review. A number of potential biomarkers were identified and grouped according to the function or origin of the marker. Although most biomarkers showed great prognostic potential, the cost and availability will likely limit their application within SA. The burden of stroke is increasing worldwide and appears to be affecting developing countries disproportionately. Access to neuroradiological services is not readily available in all settings and the addition of biomarkers to assist in the long-term prognostication of patients following a stroke can be of great clinical value. The cost and availability of many of the reviewed biomarkers will likely hinder their use in the South African setting.
Nosogeographic assessment of the adult population morbidity of the Sumy region (Ukraine)

The aim of the article is the nosogeographic assessment of the adult population morbidity of the Sumy region during 2009–2019. The assessment was made by primary morbidity and prevalence of cardiovascular, respiratory diseases as well as oncological pathologies. There is a tendency towards a decrease of diseases prevalence as well as primary morbidity of above mentioned diseases among the adult population of the Sumy region in 2019 as compared to the “top” indicators in 2016 and 2017. The prevalence of diseases among the region’s population in 2019 decreased by 9.72 % and 9.40 % compared to 2016 and 2017, respectively, while the primary morbidity rate decreased by 13.9% and 10.29%, respectively. The indicators of diseases prevalence and population primary morbidity by cardiovascular diseases and neoplasm which are basic causes of mortality in Ukraine, as well as the European Union were analyzed. During the last 10 years highest indicators of prevalence of the cardiovascular diseases were registered in 2018 (57, 459.63 cases per 100 000 people) and primary cardiovascular morbidity – in 2016 (4 394.71 cases per 100 000 people). Prevalence of neoplasm among the Sumy region’s inhabitants for the last 10 years increased by 29.59 % and in 2019 was 6 126.43 cases per 100 000 people. At the same time the primary morbidity increased by 6.18 %. Respiratory diseases occupy the 1st place in the structure of primary population morbidity, the 2nd place – in structure of prevalence of the diseases); its highest indicators were observed in 2016. The index of accumulation of the diseases (the ratio between prevalence of diseases and primary morbidity) among the Sumy region population and by administrative-territorial districts was identified. To realize the nosogeographic assessment of the adult population of the Sumy region and to highlight the groups of the administrative-territorial districts of the Sumy region by the characteristics of population morbidity the cluster analysis procedure was used. The first cluster includes the Sumy and Seredyna- Buda districts. The second cluster was formed by 6 administrative-territorial districts of the region: Yampil’, Hlukhiv, Trostianets, Krasnopillia, Shostka and Velyka Pysarivka districts. The third cluster united both Romny and Buryn’ districts. The fourth cluster includes most of administrative-territorial districts of the region: Lypova Dolyna, Nedryhailiv, Lebedyn, Krolevets, Konotop, Putyvl’, Okhtyrka and Bilopillia districts. The fifth cluster is represented by the regional center – the city of Sumy.
Implementation and Design of a Zero-Day Intrusion Detection and Response System for Responding to Network Security Blind Spots

We propose a zero-day intrusion detection and response system (ZDRS) for responding to network security blind spots. An existing detection and response system for the analysis of zero-day attacks uses a full-packet storage method; thus, the longer the time required to recognize a zero-day attack, the higher is the packet storage capacity and inspection cost. To solve the storage capacity and inspection cost problems, we design an architecture for ZDRS for a retroactive security check (RSC) using a first-N packet storage method. For fast verification of the RSC result, we propose a drill-down session metadata searching algorithm using session and flow metadata. The ZDRS comprises a network processing unit and a security processing unit. The ZDRS network processing unit generates metadata for the RSC verification and efficiently stores packets using the first-N packet storage method. The ZDRS security processing unit performs the RSC and RSC verification using the drill-down session metadata searching algorithm. For ZDRS performance analysis, we implemented ZDRS and analyzed the storage efficiency, detection efficiency, and detection speed of ZDRS at the campus level. As a performance analysis result of implementation, the amount of data storage decreased from 3.4 terabyte to 62 gigabyte compared to the full-packet storage method by 1.82%, and storage efficiency increased by 54.84 times. Furthermore, the detection rate of 99.55% based on the first 5-kilobyte size compared to the full-packet storage method was confirmed.
Stres pengangkutan pada ternak unggas, pengaruh dan upaya penanggulangan

The transportation of poultry from the farmer to the chicken slaughterhouse (CSH) or to the chicken slaughterplace (CSP) is a chain that plays a significant role in determining the quality of poultry meat. During the transportation, the birds experienced stress from the process of moving from cages to boxes, overcrowding of chickens in boxes, unavailability of feed and drinking water, stress of heat and wind, the process of moving chickens from boxes to temporary shelters, as well as fatigue and fear. All of these processes act simultaneously as stressors, so that chickens suffer from acute stress. Stress in livestock has an impact on the emergence of glycolytic processes, glycolysis and ATP hydrolysis. Muscle glycogen will undergo enzymatic glycolysis and produce lactic acid which triggers changes in the birds is avoided, and put them in the box and then remove from the box gently. Filling boxes must be in accordance with standards, and transportation is carried out at night.