Miracle-dz/UniFAR-FTUs huggingface dataset:
Fuzzy Logic-Decision-Making System Dedicated to Evaluation of Logistics Project Effectiveness

Background: Project effectiveness is synonymous with project s uccess. It is measured or assessed in terms of the degree to which project objectives are chieved. This paper presents an approach to evalu ating the effectiveness of logistics projects. The starting p oint is the analysis of the current state of knowle dge in the area of assessing project effectiveness, including logistic s projects. The purpose of the study was to identif y the critical factors determining the success of logistics projects and d evelop a model of logistics project effectiveness. Methods: The paper is based on the available recent scientif ic-theoretical research and publications and on pra ctical studies in 25 enterprises seated in Poland. The stu dy carried out by the authors had the form of quest ionnaires. The authors used a case study to validate the model of fuzzy decision-making system dedicated to estimate the level of logistics project effectiveness. Results: Based on a literature review and research findings, the authors propose the key success factors for lo gistics project effectiveness. In the paper the authors pro pose an approach to measure the level of logistics project effectiveness using their model based on fuzzy logic. This model laid the foundations for a fuzzy decision-making sy stem in MATLAB environmental. The paper describes the implementati o of the model via a case study. Conclusions: This approach allows for a more detailed descripti on of logistics project effectiveness. The proposed mo el may be implemented by logisticians in an enterprise and/or supply chain. The approach can be useful to assess the level to which logistics project objectives are achieved logistics project effectiveness.
Getting Back To Exercise Without Pain: The Lower Back

Most people today live a sedentary lifestyle, lack of movement results in the body becoming less equipped to take part in sporting activities presenting considerable challenges for personal trainers and sports coaches. When the body is expected to perform, a weak musculoskeletal foundation can lead to postural deviations, muscular imbalances and unaligned joint. Physical inactivity is increasing the risk of musculoskeletal disorders (MSDs) (12, 14) and injuries during sport and recreational activities. A common issue of most work environment is inappropriate, repetitive sitting, lifting and standing positions that are aggravating low back pain. Tight muscles around the hips like the hip flexor complex, the lumbar erector spinae and underactive muscles like the gluteus maximus or transversusabdominis (TVA), multifidus can result in excessive, unwanted motion of the lumbar spine(14,18). One approach to counter ailments is the NASM Corrective Exercise Continuum (CEx) – that promotes the activation and deactivation of muscles, fascia and the nervous system(2). To accomplish the four stages of the CEx model (Self-Myofascial Release (SMR), stretches, isolated activation and integration of muscles) a good understanding is needed of the healthy musculoskeletal system through different postures, the nature of musculoskeletal diseases and finally identify risk factors for potential musculoskeletal problems. My aim is to discuss how improved muscle strength and flexibility around the hips can help prevent or help improve core strength and decrease lower back hypermobility.In line with the NASM CEx system, I have suggested some easy to implement techniques and exercises and drew attention to preventative body awareness measures. Please refer back to my previous three articles on description and use of the movement assessments and the CEx.
Deformation Modeling and Simulation of a Novel Bionic Software Robotics Gripping Terminal Driven by Negative Pressure Based on Classical Differential Algorithm

A general pneumatic soft gripper is proposed in this paper. Combined with the torque balance theory, the mathematical theoretical model of bending deformation of soft gripper is established based on Yeoh constitutive model and classical differential geometry. Assuming that the pressure in each inner cavity is evenly distributed, the input gas is in an ideal state, which is approximately treated as an isothermal condition, and all orifices experience blocked flow. In addition, compared with the mechanical work of gas, the energy related to gas flow and heat transfer is negligible. The nonlinear mechanical properties of silicone rubber are studied. It is regarded as isotropic and incompressible material, which is characterized by strain energy per unit volume. The material constant coefficients C10 and C20 are determined through the uniaxial tensile test, and the software gripper is simulated on the ABAQUS platform. The bending deformation models of grippers with three different force-bearing cavity structures are analyzed and compared, and the software clamping structure with the bending deformation most in line with the application conditions is selected. The limit input air pressure of the gripper and the situation of enveloping the clamping target object are analyzed. Through the bending deformation experiment, the maximum deformation angle is 72.4°. The relative error between the simulation analysis data and the prediction results of the mathematical model is no more than 3.5%, which verifies the effectiveness of the simulation and the correctness of the mathematical theoretical model of bending deformation. The soft manipulator proposed in this paper has good adaptability to grasping objects of different shapes and sizes. The minimum diameter of the target object that can be clamped is 0.1 mm. It can clamp the object weighing up to 1 kg. It has compact size, light weight, high ductility, and flexibility.
Design of Speed and Current Controllers Based on Online Particle Swarm Optimization Method for IPMSM Drives

In this paper, a novel online particle swarm optimization method is proposed to design speed and current controllers of vector controlled interior permanent magnet synchronous motor drives considering stator resistance variation. In the proposed drive system, the space vector modulation technique is employed to generate the switching signals for a two-level voltage-source inverter. The nonlinearity of the inverter is also taken into account due to the dead-time, threshold and voltage drop of the switching devices in order to simulate the system in the practical condition. Speed and PI current controller gains are optimized with PSO online, that means single irritation optimization computation can be completed within single sample time. In addition, the fitness function is changed according to the system dynamic and steady states. The proposed optimization algorithm is compared with conventional PI control method in the condition of step speed change and stator resistance variation, showing that the proposed online optimization method has better robustness and dynamic characteristics compared with conventional PI controller design.
From carbon neutral to climate neutral: Dynamic life cycle assessment for wood‐based panels produced in China

The forestry sector is crucial in supporting climate change mitigation, where the mitigation potential is assessed by combining forest carbon analysis and wood product life cycle assessment (LCA). Static LCA (sLCA) is the approach commonly used in national forestry mitigation models worldwide. Static GHG effects are calculated as a running total of emissions and removals, which are often used to imply climate effects. Also, carbon neutrality, a state when the GHG effects equal zero, is used to imply neutral climate effects. However, until carbon neutrality is achieved, the increased emissions contribute to climate warming. Dynamic LCA (dLCA) is an improved method to estimate climate effects by considering the atmospheric dynamics and heat trapping capacity of different GHGs. Climate neutrality is a state when the warming effects caused by increased emissions are fully compensated by warming reduction contributed by removals. We applied dLCA and sLCA to China‐made wood‐based panels produced from 1990 to 2018 by harvesting poplar plantations. Our results suggested that, compared to dLCA results, static GHG effects largely underestimated climate warming effects or overestimated mitigation contributions. Also, decades or longer was required to achieve climate neutrality following carbon neutrality, if achievable. So, within a given timeframe, a forestry mitigation activity can achieve carbon neutrality but increase climate warming, hindering the goal of limiting global temperature rise that was set in the 2015 Paris Agreement. Thus, to assess climate warming effects, using dLCA in addition to GHG effects is essential for forestry mitigation analysis.
Ecological Traits and Trophic Plasticity in The Greater Pipefish Syngnathus acus in the NW Iberian Peninsula

Simple Summary The population of the pipefish Syngnathus acus inhabiting Cíes Archipelago (NW Spain) was monitored in 2017–2018 for spatial and temporal changes in abundances, reproduction traits, trophic niche occupancy, and dietary regimes across reproduction states, through an isotopic (δ13C and δ15N) approach. The population consisted almost exclusively of large adults, whose abundances decreased significantly from mid-autumn after the breeding season. S. acus is a secondary consumer that prefers amphipods, but mature specimens were less selective than immature fish. The present study highlights the outstanding size of the fish and the exceptional occurrence of breeders on the studied area. Abstract The great pipefish Syngnathus acus is one of the most representative European syngnathids, being highly associated with seagrass and macroalgal beds. Surprisingly, the ecology of this large ovoviviparous marine fish has received scanty attention. The population inhabiting three sites on Cíes Archipelago (Atlantic Islands National Park, NW Spain) was monitored in 2017–2018 for spatial and temporal changes in abundances, reproduction traits, trophic niche occupancy, and dietary regimes across reproduction states, through an isotopic (δ13C and δ15N) approach. Abundances were highly variable across seasons and sites, decreasing significantly from mid-autumn. The population consisted almost exclusively of large adults that migrate by the end of the breeding season, which extended from mid-spring to summer. Operational sex ratios suggest that the species is sex-role reversed. S. acus is a secondary consumer (Trophic position = 3.36 ± 0.05), preferring amphipods but displaying annual and seasonal dietary plasticity. Mature fish were less selective than immatures (especially females), with a higher preference for amphipods (36–68%) in the former. The second most-preferred prey were carideans, copepods, or isopods, depending on the year and the reproduction state. Overall, the wider trophic niches in females and immature specimens compared to males and mature fish would indicate a higher variability in both the use of prey resources and/or their origin. The present study highlights the trophic plasticity and unique features of S. acus population in the Cíes Archipelago, especially regarding the outstanding size of the fish and the exceptional occurrence of breeders.
Rhizosphere Engineering of Rice with Plant Growth Promoting Rhizobacteria (PGPR) Elicits Crop Growth and Soil Microcosm in Blue-R Dye Contaminated Soil

ABSTRACT This investigation was conducted to determine the ability of plant growth-promoting rhizobacteria (PGPR) to elicit growth of rice plants (var. CO51) in soil incubated with Blue-R textile dye. Two commercial strains of PGPR, nitrogen-fixing Azospirillum lipoferum Az204 and phosphorus-solubilizing Bacillus megaterium var phosphaticum PSB1, were used to prepare a carrier and liquid-based formulations. Seed biotization of carrier-based PGPR consortium followed by a foliar spray substantially resulted in a higher plant biomass, germination percent, and vigor index as compared to non-inoculated plants in Blue-R-amended soil. The photosynthetic efficiency is also higher, which is evident by the total chlorophyll content in PGPR-treated seedlings. Similarly, the carrier-based PGPR inoculated plants revealed higher nutrient uptake as well as N, P, and K content in shoots as compared to the non-inoculated plants. PGPR inoculation through seeds showed better survival and colonization of A. lipoferum Az204 and B. megaterium PSB1 in the rhizosphere. A. liopferum Az204 remarked good colonization in inner tissues of roots, stems, and leaves. It was concluded that PGPR application through seeds enhances crop fitness, modulates rhizosphere services, and alleviates oxidative stress caused by Blue-R in rice plants. Therefore, rhizosphere engineering by PGPR through seeds followed by subsequent foliar sprays can be used as a sustainable strategy for textile wastewater-irrigated soils.
The Guiding Role of SPOC Teaching in the Use of Mobile Phones for Undergraduate

Nowadays, mobile phone is very convenient for people to communicate. At the same time, there have been some problems. In particularly, the negative impact on university students is greater. That’s affecting their learning and life. It looks good if we can find any effective way to change this situation. Now we narrate the SPOC teaching model reform made by the Electric Drive Department of Beihua University’s. Through our practical experience, we give a solution to the problem of students’ uninterrupted playing with their mobile phones. In this paper we explain what is SPOC first. Then we describe the process of construction and utilization of the SPOC teaching resources. Then we elaborate the results achieved by the survey, that the positive effect SPOC made on University Students' use of mobile phone. Facts prove that the network teaching resources which are closely to the construction of campus teaching, can efficaciously guide students to use moble phone for study.
The Design of Navigation Algorithm in Mini UAV based on Expert PID

The scheme and principle of the navigation system of mini UAV is introduced,the control scheme is made up of track management,track adjustment and normative flight course aviation based on it's mission;the design method of the expert PID navigation control law is expatiated,the realizing of the calculating method of the design is analyzed and the protection strategy is designed based on the situation of flight of mini UAV,the process chart of software is given out at last.
Firewall Fundamentals

The essential guide to understanding and using firewalls to protect personal computers and your network An easy-to-read introduction to the most commonly deployed network security device Understand the threats firewalls are designed to protect against Learn basic firewall architectures, practical deployment scenarios, and common management and troubleshooting tasks Includes configuration, deployment, and management checklistsIncreasing reliance on the Internet in both work and home environments has radically increased the vulnerability of computing systems to attack from a wide variety of threats. Firewall technology continues to be the most prevalent form of protection against existing and new threats to computers and networks. A full understanding of what firewalls can do, how they can be deployed to maximum effect, and the differences among firewall types can make the difference between continued network integrity and complete network or computer failure. Firewall Fundamentals introduces readers to firewall concepts and explores various commercial and open source firewall implementations--including Cisco, Linksys, and Linux--allowing network administrators and small office/home office computer users to effectively choose and configure their devices. Firewall Fundamentals is written in clear and easy-to-understand language and helps novice users understand what firewalls are and how and where they are used. It introduces various types of firewalls, first conceptually and then by explaining how different firewall implementations actually work. It also provides numerous implementation examples, demonstrating the use of firewalls in both personal and business-related scenarios, and explains how a firewall should be installed and configured. Additionally, generic firewall troubleshooting methodologies and common management tasks are clearly defined and explained.
Nuclear Power Plant Simulation and Severe Accident Analysis Based on PCTRAN

A simulation software which may run on personal computer,PCTRAN is presented.The models applied and the main modules of this software are given in detail.The advantages and drawbacks of the software are discussed.In view of dominated pressurized water nuclear reac- tors in China,the PWR/UTSG version of PCTRAN is used to show its ability to simulate typical accidents such as load rejection,large break LOCA(loss of coolant accident),and rocked rotor.PCTRAN is therefore found to be an effective simulation tool for the dynamic study of the nuclear power plant,especially in the case of severe accidents.
Parathyrin(ParathyroidHormone):Radioimmunoassaysfor Intactand Carboxyl-TerminalMoieties

SubmitFrancis P. Di Bella and Charles D. Hawker, ters: Laboratory Procedures, Inc. , The Upjohn Co., Kalamazoo, MI EvaluatDaisy S. McCann, Department of Medicine, ors: Wayne County General Hospital, Eloise, MI 48184 Kevin J. Martin, Department of Internal Medicine, Washington University School of Medicine, St. Louis, MO 63110 Hunter Heath, III, Department of Medicine, Mayo Clinic, Rochester, MN 55901 Constantine S. Anast, The Children’s Hospital Medical Center, Boston, MA 02115 Assigned Donald T. Forman, Departments of Pathology Editor: and Biochemistry, University of North Carolina, Chapel Hill, NC 27514
Struktur Dan Integrasi Pasar Kopi Arabika Gayo Di Kabupaten Aceh Tengah Dan Bener Meriah

Kopi Arabika Gayo merupakan komoditas utama di Kabupaten Aceh Tengah dan Bener Meriah. Sebagian besar (86%) produksi kopi diekspor ke pasar dunia. Selama tahun 2006-2012, pergerakan harga kopi di tingkat eksportir mengalami kenaikan sebesar 17,18%, namun di tingkat petani mengalami penurunan sebesar 1,73%. Penelitian ini bertujuan menganalisis struktur dan integrasi pasar kopi Arabika Gayo. Data yang digunakan merupakan data time series harga bulanan kopi selama tahun 2008-2012. Analisis struktur pasar ditentukan melalui rasio konsentrasi empat perusahaan terbesar (CR4) dan hambatan masuk pasar melalui nilai skala efisiensi minimum (Minimum Efficiency Scale/MES). Analisis integrasi pasar menggunakan model yang telah dikembangkan oleh Ravallion (1986). Hasil penelitian menunjukkan bahwa konsentrasi rasio empat perusahaan terbesar (CR4) di tingkat eksportir sebesar 71,12% dan terdapat hambatan masuk pasar yang ditunjukkan dengan nilai MES sebesar 28,53%. Karakteristik struktur pasar menunjukkan bahwa pasar terkonsentrasi dengan tingkat persaingan yang kecil. Struktur pasar yang terbentuk mengarah pada struktur pasar oligopsonistik dan terdapat lembaga pemasaran yang dominan dalam proses penentuan harga yaitu eksportir. Selain itu, analisis integrasi pasar menunjukkan bahwa pasar kopi di tingkat petani tidak terintegrasi dengan eksportir baik dalam jangka panjang maupun jangka pendek. Hal ini menunjukkan bahwa dalam proses penentuan harga petani cenderung sebagai penerima harga. Kata Kunci: Kopi Arabika Gayo, struktur pasar, integrasi pasar, harga, oligopsonistik Arabica Gayo Coffee is the main commodity of Central Aceh and Bener Meriah regencies. Almost 86 percents of coffee bean produced from those areas is exported to the world market. Though the coffee price increased 17.18 percent at the exporter level during 2006 to 2012, but at the farm level the price of coffee decreased 1.73 percent. The purpose of this study was to analyze the structure and integration market of Arabica Gayo coffee. The data used was monthly time series of prices during 2008 to 2012. The analysis of market structure is determined by the concentration ratio of four large firms (CR4) and barriers to market entry through the Minimum Efficiency Scale (MES) value. The analysis of market integration used models that have been developed by Ravallion (1986). Research results showed that the market concentration ratio (CR4) at the exporter level was 71.12 percents and there were barriers to enter the Arabica Gayo coffee market with MES of 28.53 percents. These structural characteristics indicated that market structure is concentrated with a small level of competition. The market structure is oligopsonistic and there is a single marketing institution which determine the Arabica Gayo coffee price. This single institution is exporter. In addition, analysis of market integration showed that the coffee market at the farm level was not integrated with the exporter level in the long and short term. These analysis showed that the farmers are price taker.
Measuring inter-individual differences in behavioural types of gilthead seabreams in the laboratory using deep learning

Deep learning allows us to automatize the acquisition of large amounts of behavioural animal data with applications for fisheries and aquaculture. In this work, we have trained an image-based deep learning algorithm, the Faster R-CNN (Faster region-based convolutional neural network), to automatically detect and track the gilthead seabream, Sparus aurata, to search for individual differences in behaviour. We collected videos using a novel Raspberry Pi high throughput recording system attached to individual experimental behavioural arenas. From the continuous recording during behavioural assays, we acquired and labelled a total of 14,000 images and used them, along with data augmentation techniques, to train the network. Then, we evaluated the performance of our network at different training levels, increasing the number of images and applying data augmentation. For every validation step, we processed more than 52,000 images, with and without the presence of the gilthead seabream, in normal and altered (i.e., after the introduction of a non-familiar object to test for explorative behaviour) behavioural arenas. The final and best version of the neural network, trained with all the images and with data augmentation, reached an accuracy of 92,79% ± 6.78% [89.24–96.34] of correct classification and 10.25 ± 61.59 pixels [6.59-13.91] of fish positioning error. Our recording system based on a Raspberry Pi and a trained convolutional neural network provides a valuable non-invasive tool to automatically track fish movements in experimental arenas and, using the trajectories obtained during behavioural tests, to assay behavioural types.
The pathogenicity and virulence of Leishmania - interplay of virulence factors with host defenses

ABSTRACT Leishmaniasis is a group of disease caused by the intracellular protozoan parasite of the genus Leishmania. Infection by different species of Leishmania results in various host immune responses, which usually lead to parasite clearance and may also contribute to pathogenesis and, hence, increasing the complexity of the disease. Interestingly, the parasite tends to reside within the unfriendly environment of the macrophages and has evolved various survival strategies to evade or modulate host immune defense. This can be attributed to the array of virulence factors of the vicious parasite, which target important host functioning and machineries. This review encompasses a holistic overview of leishmanial virulence factors, their role in assisting parasite-mediated evasion of host defense weaponries, and modulating epigenetic landscapes of host immune regulatory genes. Furthermore, the review also discusses the diagnostic potential of various leishmanial virulence factors and the advent of immunomodulators as futuristic antileishmanial drug therapy.