Miracle-dz/UniFAR-FTUs huggingface dataset:
Iron deficiency and internalizing symptom severity in unmedicated adolescents: a pilot study

Abstract Background Iron plays a key role in a broad set of metabolic processes. Iron deficiency is the most common nutritional deficiency in the world, but its neuropsychiatric implications in adolescents have not been examined. Methods Twelve- to 17-year-old unmedicated females with major depressive or anxiety disorders or with no psychopathology underwent a comprehensive psychiatric assessment for this pilot study. A T1-weighted magnetic resonance imaging scan was obtained, segmented using Freesurfer. Serum ferritin concentration (sF) was measured. Correlational analyses examined the association between body iron stores, psychiatric symptom severity, and basal ganglia volumes, accounting for confounding variables. Results Forty females were enrolled, 73% having a major depressive and/or anxiety disorder, 35% with sF < 15 ng/mL, and 50% with sF < 20 ng/mL. Serum ferritin was inversely correlated with both anxiety and depressive symptom severity (r = −0.34, p < 0.04 and r = −0.30, p < 0.06, respectively). Participants with sF < 15 ng/mL exhibited more severe depressive and anxiety symptoms as did those with sF < 20 ng/mL. Moreover, after adjusting for age and total intracranial volume, sF was inversely associated with left caudate (Spearman's r = −0.46, p < 0.04), left putamen (r = −0.58, p < 0.005), and right putamen (r = −0.53, p < 0.01) volume. Conclusions Brain iron may become depleted at a sF concentration higher than the established threshold to diagnose iron deficiency (i.e. 15 ng/mL), potentially disrupting brain maturation and contributing to the emergence of internalizing disorders in adolescents.
Models of Agriculture Risk Management with Agriculture Ontology

with economic globalization and market-oriented agricultural economy, the impact factors of agricultural risks become more complicated. As a variety of factors intertwine together, the traditional Expert System is difficult to identify and manage agricultural risks, which greatly hampers the process of agricultural risk management. To overcome this problem, we introduce the ontology theory. By constructing agricultural risk ontology and agricultural risk strategy ontology, we can resolve the problem of agricultural risk's description and identification, and improve the efficiency and reliability of agricultural risk management. In this paper, we introduce the domain ontology theory to the field of agricultural risk management, and describe the basic process of the domain ontology-based agricultural risk management. And then, we propose a framework of ontology-based agricultural risk management and specifically introduce each module in the framework. Meanwhile, based on the method of building ontology, this article constructs the basic frame of the agricultural risk ontology. Finally, to take the drought risk for example, the paper analyses the implementation process and technologies of the domain ontology-based agricultural risk management.
Choice of estimator for distribution system state estimation

In this study, a statistical framework is introduced to assess the suitability of various state estimation (SE) methodologies for the purpose of distribution system state estimation (DSSE). The existing algorithms adopted in the transmission system SE are reconfigured for the distribution system. The performance of three SE algorithms has been examined and discussed in standard 12-bus and 95-bus UK-GDS network models.
Quiescent current sensor circuits in digital VLSI CMOS testing

Many integrated circuit processing defects may cause changes in the value of the quiescent power supply current. Not all of these changes are detectable using classical functional testing techniques. Testing techniques based on the quiescent power supply current inspection have been reported to be efficient in the detection of a wide set of well known physical defects (including bridges and stuck-on). Two quiescent current sensor circuits are proposed and discussed. These circuits are oriented to different testing applications such as the external functional ATE environment, and the built-in self-testing (BIST) design for both on-line and off-line strategies. >
Diffusion of ISO 9000 and ISO 14000 certification in Italian commodity sectors

Purpose – ISO 9000 and ISO 14000 standards certification is a phenomenon involving over the years a larger and larger number of companies and organizations. Looking at the empirical data, it is observed that the phenomenon is close to saturation in many countries. In Italy, on the other hand, there is an important increase in the number of certifications. The purpose of this paper is to pick out the different components and aspects which make Italian dynamics so particular.Design/methodology/approach – In order to do that the single commodity sector was analyzed, studying certifications diffusion in terms of certified sites. With the aim of specializing the analysis within commodity sectors, this information has been compared with the Gross Domestic Product (GDP) percentage expressed by each sector.Finding – The analysis shows that ISO certifications diffusion followed different dynamics depending on the commodity sectors. These reacted in different ways to the discontinuity of 2003, the year in which ISO.
Proposal and Investigation of a Convolutional and LSTM Neural Network for the Cost-Aware Resource Prediction in Softwarized Networks

Resource prediction algorithms have been recently proposed in Network Function Virtualization architectures. A prediction-based resource allocation is characterized by higher operation costs due to: (i) Resource underestimate that leads to quality of service degradation; (ii) used cloud resource over allocation when a resource overestimate occurs. To reduce such a cost, we propose a cost-aware prediction algorithm able to minimize the sum of the two cost components. The proposed prediction solution is based on a convolutional and Long Short Term Memory neural network to handle the spatial and temporal correlations of the need processing capacities. We compare in a real network and traffic scenario the proposed technique to a traditional one in which the aim is to exactly predict the needed processing capacity. We show how the proposed solution allows for cost advantages in the order of 20%.
Implementation of Lean Concepts for Public Sector Engineering Design and Construction: A Case Study

This work details the implementation of lean thinking concepts, tools, and processes in the City of Los Angeles, Bureau of Engineering— one of the largest public engineering organizations on the world. Poor past project delivery performance has lead to a radical change in the Bureau’s organizational structure and project delivery processes. Central to the entire change is a shift toward a lean production model, centered on systems optimization. This work describes the reasons for the shift to lean thinking that began in the Bureau in the spring of 1997. The Bureau re-organization and the systems optimization background training are detailed. The ongoing training that is used to further foster lean thinking concepts is next reviewed. The majority of the paper is devoted to explaining specific lean thinking processes that were used as part of the transformation of the Bureau. Implementation of lean thinking is illustrated through detailed descriptions and examples the use of specific tools. Executive management and strategic planning efforts necessary to implement the lean thinking methods are explained and illustrated. Methods of reporting the transformation throughout the Bureau’s workforce and to the Bureau’s partners are also detailed and sample reporting and communication products are provided. Conclusions describe the performance improvements achieved to date through lean thinking, the obstacles the effort has yet to overcome, and mistakes made along the path so far. Future research needs identified through this effort are also included and discussed.
3-D Design, Electro-Thermal Simulation and Geometrical Optimization of spiral Platinum Micro-heaters for Low Power Gas sensing applications using COMSOL

In this paper we have presented the MEMS micro-heaters for gas sensing applications. A thermal electric finite element method (FEM) analysis was used to investigate the thermal properties of individual electrically driven platinum micro-heaters. The geometric optimization for the micro-heater was performed by simulating a wide range of possible geometries using COMSOL 4.1. The simulated results of micro-heaters having an improved temperature distribution over the sensing area of gas sensor are demonstrated . These micro-heaters are designed to ensure low power consumption, low thermal mass and better temperature uniformity. Three different patterns of micro-heaters which are spiral, spiral with a square cavity in silicon membrane and suspended spiral type with their Electro- thermal simulated temperature profile are demonstrated. For the supply voltage of 2V, the uniform temperature profile and the power consumption of the heaters to obtain an operating temperature of 300C is analyzed for all the patterns and results are compared.
In-Wall Object Recognition based on SAR-like Imaging by UWB-Radar

In this paper an approach for object recognition by backscattered Ultra Wideband (UWB) signals on the basis of a reference data set gained by a hybrid ray tracing/FDTD method is presented. This approach is part of a UWB imaging and localization concept for emergency scenarios. Here a security robot is moving at a certain track through a room. The security robot has the task of providing a rough image and has to inspect the objects in the room. The proposed recognition method can also be used to assess the intactness of the building construction elements. Usually such elements are composed of different materials, often including a metallic core. The UWB frequency range selected ensures a sufficient penetration of the material as well as a resolution of about 3mm for the outer objects surface and exhibits a slightly reduced resolution for an enclosed object. The biggest impact is here the possibility to completely move around the object. The imaging and the subsequent object recognition is performed in several steps which start with an imaging of the outer object shape using an IBST algorithm which evaluates the wavefronts and continues with an estimation of the objects permittivity. A modified IBST algorithm then determines the enclosed objects form
Monitoring moisture content in Municipal Solid Waste: results of a preliminary test under laboratory conditions

The paper presents the results of the tentative testing of various moisture content monitoring probes in Municipal Solid Waste (MSW). The experimental test was conducted on the basis of a 0.07 m 3 sample of shredded waste subject to compression (up to 130 kPa) and a cycle of water saturation – drainage under laboratory conditions. First results indicate that TDR and capacitive probes are sensitive to volumic variations of moisture content. Further works will be needed to calibrate the response of the latter probes from various types of waste and test conditions.
Kinematic Optimization of a Flexible Wing Undergoing Flapping and Pitching

In recent years, there has been widespread interest in the design of microair vehicles (MAVs) for flapping flight with high-aspect ratio wings due to their high efficiency and energy savings. However, the flexibility of a flapping wing causes the aeroelastic effect, which remains a subject of investigation. Generally, existing research simulates active bending and twisting of flexible wings under the assumption of neglecting flapping inertia. In this research, the kinematic optimization of a bionic wing with passive deformation in forward flight while undergoing flapping and pitching is considered. To this end, a computational aeroelasticity framework, which includes the three-dimensional unsteady vortex lattice method (UVLM) and the Newmark-β method, is constructed for flapping flight. Under the assumption of linear elastic deformation, this tool is capable of simulating attached flows over a thin wing and capturing unsteady effects of wakes. A bionic numerical wing with an aspect ratio of 6.5, chord Reynolds number of 1.9 × 105, and reduced frequency less than 0.1 is investigated in kinematic optimization. The computational aeroelasticity framework is combined with a global optimization algorithm to identify the optimal kinematics that maximize the propulsive efficiency under the minimum average lift constraint. Two types of numerical wings, rigid wing and flexible wing, are considered here to compare the influence of deformation on the aerodynamics of the flapping wing. The results show that the aeroelastic effect, which increases the flapping amplitude, yields a significant improvement in terms of propulsive efficiency. In addition, the optimization algorithm maximizes the thrust efficiency while satisfying the required lift. Moreover, the optimal kinematics of both the rigid wing and the flexible wing reach the maximum flapping angle, which indicates that a larger range of motions is needed for optimal kinetics when loosening the boundary conditions.
Prognosis of Patients with Esophageal Carcinoma After Routine Thoracic Duct Resection

Objective: To clarify whether routine thoracic duct (TD) resection improves the prognosis of patients with esophageal cancer after radical esophagectomy. Summary of Background Data: Although TD resection can cause nutritional disadvantage and immune suppression, it has been performed for the resection of surrounding lymph nodes. Methods: We analyzed 12,237 patients from the Comprehensive Registry of Esophageal Cancer in Japan who underwent esophagectomy between 2007 and 2012. TD resection and preservation groups were compared in terms of prognosis, perioperative outcomes, and initial recurrent patterns using strict propensity score matching. Particularly, the year of esophagectomy and history of primary cancer of other organs were added as covariates. Results: After propensity score matching, 1638 c-Stage I–IV patients participated in each group. The 5 year overall survival and cause-specific survival rates were 57.5% and 65.6% in the TD-resected group and 55.2% and 63.4% in the TD-preserved group, respectively, without significant differences. The TD-resected group had significantly more retrieved mediastinal nodes (30 vs 21, P < 0.0001) and significantly fewer lymph node recurrence (376 vs 450, P = 0.0029) compared with the TD-preserved group. However, the total number of distant metastatic organs was significantly greater in TD-resected group than in the TD-preserved group (499 vs 421, P = 0.0024). Conclusions: TD resection did not improve survival in patients with esoph-ageal cancer. Despite having retrieved more lymph nodes, TD resection caused distant metastases in more organs compared to TD preservation. Hence, prophylactic TD resection should not be recommended in patients with esophageal cancer.
On connected deployment of delay-critical FANETs

Many safety critical scenarios, including post-disaster areas, or military fields, require prompt area monitoring and fast detection of events of interest. Flying Ad-hoc Networks (FANETs) provide a powerful tool to search the area, and locate anomalies. Nevertheless, wide-area deployment of FANETs poses a number of challenges. Existing long range communication technologies are inadequate to meet the data rate and delay requirements of a safety critical application. To face this challenge, we formulate the connected deployment problem, where we require the FANET to create connected formations to ensure multi-hop low-latency communications while performing the monitoring task. We show that addressing the above problem with the aim of maximizing event coverage is NP-hard. We propose a polynomial time solution, called Greedy Connected Deployment (GCD), based on a two phase approximation of the problem. By means of extensive simulations and real field experiments, we show that our approach outperforms existing solutions to related problems, both in terms of monitoring accuracy and system responsiveness.
Circularly polarized bowtie‐shaped dielectric resonator antenna excited with asymmetric cross slot

A circularly polarized bowtie‐shaped dielectric resonator antenna (DRA) excited by an asymmetric cross‐shaped slot, fed by a microstrip line has been proposed in this article. The proposed antenna structure achieves a 3‐dB axial ratio bandwidth of 7.4%. An impedance bandwidth of 43.8% has been obtained for circularly polarized bowtie‐shaped DRA. © 2015 Wiley Periodicals, Inc. Microwave Opt Technol Lett 57:1723–1727, 2015
Structural health monitoring of progressive damage

Structural health monitoring requires tracking the progression of damage in a structure over time. In this paper, we propose a model for progressive damage that utilizes a hidden Markov model where multiple states represent the severity and type of damage. Sensor observations are generated according to a process conditional on each state. An efficient algorithm for sequential inference of damage from collected data is proposed and tested using experimental data from a structural frame. Copyright © 2015 John Wiley & Sons, Ltd.
Software and hardware system for monitoring and control of the optical-physical state of the atmosphere: part 2: methods and algorithms for data processing

The article presents an overview of the panoramic optical station "TomSky" developed at the IOA SB RAS, designed for day and night multiparametric observation of the optical state of the sky. In the second part, methods and algorithms for processing data obtained from the monitoring station are considered. This study was supported by the Ministry of Science and Higher Education of the Russian Federation.
Science and engineering for space - Technologies from Space 88

This paper highlights technology development for space exploration. It draws on the proceedings of Space 88, Engineering, Construction, and Operations in Space, which includes 125 papers and 1,349 pages providing in-depth discussions of space policy, extraterrestrial basing, space stations, orbiting structures, and areas of special interest. In the space station and orbiting structures (orbital facilities) section, papers discuss the engineering, construction, and operations of orbiting space systems. Papers in the extraterrestrial basing section deal with the engineering, construction, and operations challenges faced in development of bases and operations on extraterrestrial bodies. The special interest (interacting disciplines) section provides a discussion of challenges facing us in meeting needs for space power, life support, human factors, astronomy, education, and management. The purpose of this volume on engineering, construction, and operations of facilities and bases in space is to encourage and stimulate the development of the required technologies. The concluding section of this paper focuses on space policy and a view toward the future.
Resourceful female immigrants’ experiences of the Norwegian activation field

ABSTRACT This study explores how resourceful female immigrants experience their employment processes concerning user involvement within the Norwegian activation field. This qualitative analysis is based on interviews with 26 female immigrants characterized as resourceful in terms of speaking Norwegian well; being active in job searching; having high education or skills from their country of origin or wanting to obtain higher education. The interviewees reported receiving little information and guidance from the Labour and Welfare Service (NAV). They spent a considerable amount of time trying to find opportunities in what they experienced as a complex and unclear activation field, and only by coincidence, encountered services that could help them become more employable and obtain employment. The interviewees applied but were often rejected for services, e.g. skills training courses or work placements, and if they received services, they did not find them to be individually tailored or based on long-term plans. They experienced having little influence regarding which type, level and/or content of services they received, and these did not reflect what they considered that they actually needed to cease being unemployed. The findings highlight the importance of that also this group needs facilitated individual, personalized and tailor-made information and services to integrate into local labour markets.
Topological analysis of a bacterial DedA protein associated with alkaline tolerance and antimicrobial resistance

Maintaining membrane integrity is of paramount importance to the survival of bacteria as the membrane is the site of multiple crucial cellular processes including energy generation, nutrient uptake, and antimicrobial efflux. The DedA family of integral membrane proteins are widespread in bacteria and are associated with maintaining the integrity of the membrane. In addition, DedA proteins have been linked to resistance to multiple classes of antimicrobials in various microorganisms. Therefore, the DedA family are attractive targets for the development of new antibiotics. Despite DedA family members playing a key physiological role in many bacteria, their structure, function and physiological role remain unclear. To help illuminate the structure of the bacterial DedA proteins, we have performed substituted cysteine accessibility method (SCAM) analysis on the most comprehensively characterized bacterial DedA protein, YqjA from Escherichia coli. By probing the accessibility of 15 cysteine residues across the length of YqjA using thiol reactive reagents, we have mapped the topology of the protein. Using these data, we have experimentally validated a structural model of YqjA generated using evolutionary co-variance, which consists of an α-helical bundle with two re-entrant hairpin loops reminiscent of several secondary active transporters. In addition, our cysteine accessibility data suggests that YqjA forms an oligomer wherein the protomers are arranged in a parallel fashion. This experimentally verified model of YqjA lays the foundation for future work in understanding the function and mechanism of this interesting and important family.
Image Requirements for Three-Dimensional Measurements of Pavement Macrotexture

This paper examines the effect of wavelength range on the estimation of pavement macrotexture quality from a three-dimensional (3-D) surface model. Macrotexture indicators computed from two-dimensional (2-D) profiles are compared with power spectrum energy computed from 3-D surface heights in the frequency domain. Pavement samples with different types of surface conditions were evaluated by means of a noncontact photometric stereo system. For each pavement sample, surface heights were recovered and a 3-D surface model was constructed. Surface profiles were also measured manually with a dial gauge. The surface heights in frequency domain were divided into 10 wavelength ranges. Power spectrum energy was computed for each wavelength range. The correlation between the 2-D indicators (mean profile depth and root mean square roughness) and the power spectrum energy was examined. It was found that the texture indicators computed from the 3-D recovered surface could represent the 2-D indicators adequately. Moreover, the power spectrum energy provided a good estimation of the 2-D indicators when it was computed from wavelength ranges of approximately 13 times the expected range of the 2-D indicators.