bluuebunny/crossref_metadata_2025 huggingface dataset:
GADD45a and GADD45b Genes in Rheumatoid Arthritis and Systemic Lupus Erythematosus Patients
Authors: Li Ruei-Nian , Lin Yuan-Zhao , Pan Ya-Chun , Lin Chia-Hui , Tseng Chia-Chun , Sung Wan-Yu , Wu Cheng-Chin , Ou Tsan-Teng , Tsai Wen-Chan , Yen Jeng-Hsien
Published: June 2019

Background: GADD45 genes are stress sensors in response to cellular stress response, activated signal pathways leading to the stimulation of inflammatory cytokines. This study is to examine the associations of GADD45a and GADD45b genes with rheumatoid arthritis (RA) and systemic lupus erythematosus (SLE) patients. Methods: 230 patients of RA, 140 patients of SLE, and 191 healthy controls were enrolled. Genomic DNA was extracted from peripheral blood mononuclear cells and gene polymorphisms were genotyped by TaqMan assay. RNA expression was quantitated with real-time polymerase chain reaction. Results: The RNA expression of the GADD45b gene was significantly lower in RA patients than the control cases (p = 0.03). The odds ratio of GADD45a genotype -589 CC (rs581000) was significantly low (OR = 0.36, 95% CI, 0.15–0.87) in DR4-negative RA patients. The odds ratio of GADD45b genotype -712CT (rs3795024) in DR4-negative RA patients was 0.41 (95% CI, 0.18–0.95). In clinical manifestation, the odds ratio of GADD45b -712CT genotype with anti-RNP antibody was 4.14 (95% CI, 1.10–15.63) in SLE patients. GADD45a genotype -589GG+GC was associated with rheumatoid factor (RF) in SLE patients. Conclusions: Genotypes GADD45a -589CC and GADD45b -712CT were shown to be less susceptible to RA and related to the disease state in SLE patients.
Circulating C1q/TNF-Related Protein 3, Omentin-1 and NGAL in Obese Patients with Type 2 Diabetes During Insulin Therapy
Authors: Komosinska-Vassev Katarzyna , Olczyk Pawel , Kuźnik-Trocha Kornelia , Jura-Półtorak Agnieszka , Derkacz Alicja , Purchałka Marcin , Telega Alicja , Olczyk Krystyna
Published: June 2019

The aim of the study was to quantify the plasma concentration of omentin-1, neutrophil gelatinase-associated lipocalin (NGAL), and complement C1q tumor necrosis factor-related protein-3 (CTRP3) in obese patients with type 2 diabetes, before introducing insulin therapy, in relation to the plasma expression profiles of these regulatory molecules in the same patients after a 6-month insulin mixture therapy and in obese controls. Elevated plasma NGAL concentrations were found in type 2 diabetic patients as compared with subjects with metabolically healthy obesity. In turn, a 6-month insulin mixture therapy has shown a marked increase in the plasma concentration of omentine-1 and a significant decrease in plasma CTRP3 concentration in obese patients with type 2 diabetes, in relation to the values found in these patients before the implementation of insulin therapy. Insulin mixture therapy has also proved to be an important factor modifying the plasma profile of NGAL, increasing the concentration of this bioactive molecule in the plasma of patients with type 2 diabetes, after 6 months of its use, in relation to the concentration before treatment. The significant changes in the plasma profile of omentin-1, NGAL and CTRP3 during insulin therapy suggest their potential diagnostic utility in monitoring metabolic changes associated with the introduction of insulin treatment in type 2 diabetic patients.
Accuracy of the Low-Dose ACTH Stimulation Test for Adrenal Insufficiency Diagnosis: A Re-Assessment of the Cut-Off Value
Authors: Mongioì Laura Maria , Condorelli Rosita Angela , Barbagallo Federica , Cannarella Rossella , La Vignera Sandro , Calogero Aldo Eugenio
Published: June 2019

Background: The clinical practice shows that many low-dose ACTH-stimulation tests have a false positive result. The aim of the study was to determine the diagnostic accuracy of a low-dose ACTH-stimulation test in the diagnosis of adrenal insufficiency and to define its optimal cut-off. Methods: We analyzed data from 103 patients undergoing 1 µg ACTH-stimulation test. Four patients had adrenal insufficiency (AI) upon follow up: Two primary, and two secondary AI. Cortisol serum levels were evaluated at time 0, 20’, and 30’ after the injection of 1 µg i.v. of ACTH. The sensitivity, specificity, accuracy, and positive and negative predictive values of the test were calculated for both 20’ and 30’ sampling. The receiver operating characteristic (ROC) curve was obtained to assess the sensitivity and specificity of low-dose ACTH-stimulation test in the diagnosis of adrenal insufficiency at different cut-off values. Results: Considering 500 nmol/L as the standard cut-off value, low-dose ACTH stimulation test showed a 100% sensitivity and a 67.3% specificity, with a high rate of false positive results. ROC curve analysis showed that the cut-off of 401.5 nmol/L is the best compromise between sensitivity (100%) and specificity (93.9%). Conclusions: By using a cut-off value of 401.5 nmol/L for the low-dose ACTH stimulation test, the number of false positive patients decreased significantly, but the sensitivity remained high.
Usefulness of the Thrombotic Microangiopathy Score as a Promising Prognostic Marker of Septic Shock for Patients in the Emergency Department
Authors: Ko Dong Ryul , Kong Taeyoung , Lee Hye Sun , Kim Sinae , Lee Jong Wook , Chung Hyun Soo , Chung Sung Phil , You Je Sung , Park Jong Woo
Published: June 2019

The thrombotic microangiopathy (TMA) score based on the development and morphological characteristics of schistocytes is a rapid, simple biomarker that is easily obtained from the complete blood cell count by an automated blood cell analyzer. We aimed to determine whether the TMA score is associated with 30-day mortality of patients with early-stage septic shock. This observational cohort study was retrospectively conducted based on a prospective emergency department (ED) registry (June 2015–December 2016). We analyzed the TMA score at ED admission and 24 h later. The primary endpoint was all-cause mortality within 30 days of ED admission. A total of 221 patients were included. Increased TMA scores at time 0 (odds ratio (OR), 1.972; 95% confidence interval (CI), 1.253–3.106; p = 0.003) and at time 24 (OR, 1.863; 95% CI, 1.863–3.066; p = 0.014) were strong predictors of 30-day mortality. Increased predictability of 30-day mortality was closely associated with TMA scores ≥2 at time 0 (OR, 4.035; 95% CI, 1.651–9.863; p = 0.002) and ≥3 at time 24 (OR, 5.639; 95% CI, 2.190–14.519; p < 0.001). Increased TMA scores significantly predicted 30-day mortality for patients with severe sepsis and septic shock and can be helpful when determining the initial treatment strategies without additional costs or effort.
Superpixel Segmentation Based on Anisotropic Edge Strength
Authors: Wang Gang , De Baets Bernard
Published: June 2019

Superpixel segmentation can benefit from the use of an appropriate method to measure edge strength. In this paper, we present such a method based on the first derivative of anisotropic Gaussian kernels. The kernels can capture the position, direction, prominence, and scale of the edge to be detected. We incorporate the anisotropic edge strength into the distance measure between neighboring superpixels, thereby improving the performance of an existing graph-based superpixel segmentation method. Experimental results validate the superiority of our method in generating superpixels over the competing methods. It is also illustrated that the proposed superpixel segmentation method can facilitate subsequent saliency detection.
Effect of Land Acquisition and Compensation on the Livelihoods of People in Quang Ninh District, Quang Binh Province: Labor and Income
Authors: NGUYEN Tran Tuan , HEGEDŰS Gábor , NGUYEN Tien Long
Published: June 2019

Researchers and development practitioners have an interest in the relationship between land and rural livelihoods. In this context, agricultural land is being increasingly lost because of developing industrialization in the provinces of Vietnam. The livelihoods of people, whose land is appropriated, are affected. Therefore, this article investigates the impact of land acquisition and compensation on the labor and income of people when the State acquires their land to construct Industrial park projects. For the research methods, secondary data from select governmental agencies were gathered, and 50 households were interviewed to collect primary data. The results of this research indicated that although household livelihoods have been reconstructed after land acquisition, many issues are also emerging that may challenge equitable and sustainable development. These include a high proportion of households with insufficient employment, as well as those that are spending compensation money in ways that do not generate income.
Existence Result and Uniqueness for Some Fractional Problem
Authors: Wang Guotao , Ghanmi Abdeljabbar , Horrigue Samah , Madian Samar
Published: June 2019

In this article, by the use of the lower and upper solutions method, we prove the existence of a positive solution for a Riemann–Liouville fractional boundary value problem. Furthermore, the uniqueness of the positive solution is given. To demonstrate the serviceability of the main results, some examples are presented.
Transumbilical Single-Incision Laparoscopic-Assisted Appendectomy (TULAA) is Useful in Adults and Young Adolescents: Comparison with Multi-Port Laparoscopic Appendectomy
Authors: Jin Seung Gyu , Cho Seong Hoon , Kim Kwang Yong , Ahn Soo Kyung , Hwang Ji Woong , Cho Ji Woong , Jung Bong Wha , Kim Byung Chun , Yoon Sang Nam
Published: June 2019

Background and objectives: Single-port laparoscopic appendectomy (SLA) in most previous studies has used intracorporeal excision of the appendix and needed a longer operative time than multi-port laparoscopic appendectomy (MLA), although SLA does have the potential benefit of an almost invisible scar within the umbilicus. Some studies have reported that extracorporeal transumbilical single-incision laparoscopic-assisted appendectomy (TULAA) in children took a considerably reduced operative time compared to MLA. We adopted TULAA in adults, adding routine dissection of the peritoneal attachment of the appendix. The aim was to compare the operative outcomes between TULAA and MLA. Materials and Methods: Between March 2013 and January 2016, 770 patients with acute uncomplicated and complicated appendicitis from 15 to 75 years of age were enrolled retrospectively. The operation was performed as early (EA) and interval appendectomy (IA). Results: Operative time was shorter in the TULAA group than in the MLA group, except for IA. No open conversion occurred in the TULAA group, except one case of ileocecal resection for IA. No intra-abdominal fluid collection was found in the TULAA group. Extended resection (especially partial cecectomy) was performed less frequently in the TULAA group than in the MLA group for IA. Mean postoperative hospital stay was shorter in the TULAA group for uncomplicated appendicitis. When the data of the EA group and the IA group were compared, operative time was significantly shorter in the IA group for both MLA and TULAA. The open conversion rate and the complication rate tended to be lower in the IA group. Confined to IA, the TULAA group tended to have shorter mean initial, postoperative, and total hospital stays. Conclusions: TULAA can be a useful surgical alternative to MLA in adults and young adolescents, because it lacks open conversion and provides both a shorter operative time and a shorter postoperative hospital stay. TULAA is feasible for IA in that it showed a lower rate of extended resection and complications.
Performance Evaluation of MQCL Hard Milling of SKD 11 Tool Steel Using MoS2 Nanofluid
Authors: Dong Pham Quang , Duc Tran Minh , Long Tran The
Published: June 2019

The present work shows an experimental investigation on the effect of minimum quantity cooling lubrication (MQCL) during hard milling of SKD 11 tool steel (52–60HRC). The novelty here lies on the use of MQCL technique, which comprises the cooling strategy based on the principle of Ranque-Hilsch vortex tube and MQL method. Moreover, MoS2 nanoparticles are suspended in MQCL based fluid to improve the lubricating character. The response parameters, including surface roughness, surface microstructure, and surface profile are studied. The obtained results show that MQCL using nanofluid gives out better surface quality compared to dry, MQL, and MQCL with pure fluid. Also, the different concentrations of MoS2 nanoparticles are investigated to find out the optimized value as well as the interaction effect on machined surface.
Intensity Switchable and Wide-Angle Mid-Infrared Perfect Absorber with Lithography-Free Phase-Change Film of Ge2Sb2Te5
Authors: Hua Xiaomin , Zheng Gaige
Published: June 2019

The range of fundamental phenomena and applications achievable by metamaterials (MMs) can be significantly extended by dynamic control over the optical response. A mid-infrared tunable absorber which consists of lithography-free planar multilayered dielectric stacks and germanium antimony tellurium alloy (Ge2Sb2Te5, GST) thin film was presented and studied. The absorption spectra under amorphous and crystalline phase conditions was evaluated by the transfer matrix method (TMM). It was shown that significant tuning of absorption can be achieved by switching the phase of thin layer of GST between amorphous and crystalline states. The near unity (>90%) absorption can be significant maintained by incidence angles up to 75 under crystalline state for both transverse electric (TE) and transverse magnetic (TM) polarizations. The proposed method enhances the functionality of MMs-based absorbers and has great potential for application to filters, emitters, and sensors.
Structural Trends and Solid-Solutions Based on the Crystal Chemistry of Two Hausmannite (Mn3O4) Samples from the Kalahari Manganese Field
Authors: Antao Sytle M. , Cruickshank Laura A. , Hazrah Kaveer S.
Published: June 2019

The crystal chemistry of two hausmannite samples from the Kalahari manganese field (KMF), South Africa, was studied using electron-probe microanalysis (EPMA), single-crystal X-ray diffraction (SCXRD) for sample-a, and high-resolution powder X-ray diffraction (HRPXRD) for sample-b, and a synthetic Mn3O4 (97% purity) sample-c as a reference point. Hausmannite samples from the KMF were reported to be either magnetic or non-magnetic with a general formula AB2O4. The EPMA composition for sample-a is [Mn2+0.88Mg2+0.11Fe2+0.01]Σ1.00Mn3+2.00O4 compared to Mn2+Mn3+2O4 obtained by refinement. The single-crystal structure refinement in the tetragonal space group I41/amd gave R1 = 0.0215 for 669 independently observed reflections. The unit-cell parameters are a = b = 5.7556(6), c = 9.443(1) Å, and V = 312.80(7) Å3. The Jahn–Teller elongated Mn3+O6 octahedron of the M site consists of M–O × 4 = 1.9272(5), M–O × 2 = 2.2843(7), and an average [6] = 2.0462(2) Å, whereas the Mn2+O4 tetrahedron of the T site has T–O × 4 = 2.0367(8) Å. The site occupancy factors (sof) are M(sof) = 1.0 Mn (fixed, thereafter) and T(sof) = 1.0008(2) Mn. The EPMA composition for sample-b is [Mn0.99Mg0.01](Mn1.52Fe0.48)O4. The Rietveld refinement gave R (F2) = 0.0368. The unit-cell parameters are a = b = 5.78144(1), c = 9.38346(3) Å, and V = 313.642(1) Å3. The octahedron has M–O × 4 = 1.9364(3), M–O × 2 = 2.2595(6), and average [6] = 2.0441(2) Å, whereas T–O × 4 = 2.0438(5) Å. The refinement gave T(sof) = 0.820(9) Mn2+ + 0.180(9) Fe2+ and M(sof) = 0.940(5) Mn3+ + 0.060(5) Fe3+. Samples-a and -b are normal spinels with different amounts of substitutions at the M and T sites. The Jahn–Teller elongation, Δ(M–O), is smaller in sample-b because atom substitutions relieve strain compared to pure Mn3O4.
Distinctive Formation of Volatile Compounds in Fermented Rice Inoculated by Different Molds, Yeasts, and Lactic Acid Bacteria
Authors: Park Min Kyung , Kim Young-Suk
Published: June 2019

Rice has been fermented to enhance its application in some foods. Although various microbes are involved in rice fermentation, their roles in the formation of volatile compounds, which are important to the characteristics of fermented rice, are not clear. In this study, diverse approaches, such as partial least squares-discriminant analysis (PLS-DA), metabolic pathway-based volatile compound formations, and correlation analysis between volatile compounds and microbes were applied to compare metabolic characteristics according to each microbe and determine microbe-specific metabolites in fermented rice inoculated by molds, yeasts, and lactic acid bacteria. Metabolic changes were relatively more activated in fermented rice inoculated by molds compared to other microbes. Volatile compound profiles were significantly changed depending on each microbe as well as the group of microbes. Regarding some metabolic pathways, such as carbohydrates, amino acids, and fatty acids, it could be observed that certain formation pathways of volatile compounds were closely linked with the type of microbes. Also, some volatile compounds were strongly correlated to specific microbes; for example, branched-chain volatiles were closely link to Aspergillus oryzae, while Lactobacillus plantarum had strong relationship with acetic acid in fermented rice. This study can provide an insight into the effects of fermentative microbes on the formation of volatile compounds in rice fermentation.
A Comparative Review on the Extraction, Antioxidant Content and Antioxidant Potential of Different Parts of Walnut (Juglans regia L.) Fruit and Tree
Authors: Jahanban-Esfahlan Ali , Ostadrahimi Alireza , Tabibiazar Mahnaz , Amarowicz Ryszard
Published: June 2019

As a valuable tree nut, walnut is a well-known member of the Juglandaceae family. The fruit is made up of an outer green shell cover or husk, the middle shell which must be cracked to release the kernel, a thin layer known as skin or the seed coat, and finally, the kernel or meat. The nutritional importance of walnut fruit is ascribed to its kernel. The shell and husk are burned as fuel or discarded away as waste products. In the past two decades, the evaluation of the phenolic content and antioxidant activity of different parts of walnut has received great interest. In this contribution, the recent reports on the extraction and quantification of phenolic content from each part of the walnut tree and fruit using different solvents were highlighted and comparatively reviewed. The current review paper also tries to describe the antioxidant content of phenolic extracts obtained from different parts of the walnut tree and fruit. Additionally, the antioxidant and antiradical activities of the prepared extracts have also been discussed.
New Synthetic Methods of Novel Nanoporous Polycondensates and Excellent Oxygen Permselectivity of Their Composite Membranes
Authors: Zang Yu , Aoki Toshiki , Teraguchi Masahiro , Kaneko Takashi , Jia Hongge , Ma Liqun , Miao Fengjuan
Published: June 2019

Two kinds of novel nanoporous polycondensates (sc(Rf)) have been synthesized by two new preparation methods consisting of polycondensation and highly selective photocyclicaromataization of 1/3 helical cis-cis polyphenylacetylenes with polymerizable groups. By the original methods, new well-defined sheet polymers having nanopores or nanospaces have been synthesized for the first time. Their composite membranes, containing small amounts (1.0 wt%) of sc(Rf), had ultrahigh oxygen permeability (Po2 > 1000 barrer), and their plots were beyond the Robeson’s upper bound line in the graph of oxygen permselectivity (α = Po2/PN2) versus Po2. Both α and Po2 values were enhanced by adding only small amounts (1.0 wt%) of sc(Rf). One of the sc(Rf)s synthesized on the base membrane surface showed the best performance, i.e., Po2 = 5300 barrer and α = 2.5. The membrane surface was effectively covered by sc(Rf), judging from the contact angle values. It is thought that nanopores and nanospaces created in and between sc(Rf) molecules played an important role for the enhancement of both α and Po2/PN2.
In Situ WAXD and SAXS during Tensile Deformation Of Moulded and Sintered Polyamide 12
Authors: Paolucci Fabio , Govaert Leon , Peters Gerrit
Published: June 2019

To provide knowledge to improve the mechanical performance of Polyamide 12 (PA12) sintered products, we have studied experimentally the mechanical response and structure development under constant strain rate of compression moulded and laser sintered PA12 by means of in situ small-angle X-ray scattering (SAXS) and wide-angle X-ray diffraction (WAXD) experiments. It is found that at low temperatures, i.e., below the glass transition temperature, the brittle failure of laser sintered samples is determined by the fast formation of voids that originate at the beginning of the macroscopic plastic deformation. This effect appears to be faster at temperatures below room temperature and it is less effective at higher temperatures. When tested at 120 ∘ C, sintered PA12 shows a better mechanical response in terms of yield stress and a comparable strain at break with respect to moulded PA12. This can be explained by considering that sintered samples have slightly thicker crystals that can sustain higher stress at high temperature. However, this also leads to the formation of a larger number of voids at low testing temperatures. This work does not attempt to quantify the micromechanics behind crystals deformation and disruption, but it provides a deeper insight in the difference between the mechanical response of moulded and sintered PA12.
Fault Identification Using Fast k-Nearest Neighbor Reconstruction
Authors: Zhou Zhe , Li Zuxin , Cai Zhiduan , Wang Peiliang
Published: June 2019

Data with characteristics like nonlinear and non-Gaussian are common in industrial processes. As a non-parametric method, k-nearest neighbor (kNN) rule has shown its superiority in handling the data set with these complex characteristics. Once a fault is detected, to further identify the faulty variables is useful for finding the root cause and important for the process recovery. Without prior fault information, due to the increasing number of process variables, the existing kNN reconstruction-based identification methods need to exhaust all the combinations of variables, which is extremely time-consuming. Our previous work finds that the variable contribution by kNN (VCkNN), which defined in original variable space, can significantly reduce the ratio of false diagnosis. This reliable ranking of the variable contribution can be used to guide the variable selection in the identification procedure. In this paper, we propose a fast kNN reconstruction method by virtue of the ranking of VCkNN for multiple faulty variables identification. The proposed method significantly reduces the computation complexity of identification procedure while improves the missing reconstruction ratio. Experiments on a numerical case and Tennessee Eastman problem are used to demonstrate the performance of the proposed method.
Uncovering Novel Pathways for Enhancing Hyaluronan Synthesis in Recombinant Lactococcus lactis: Genome-Scale Metabolic Modeling and Experimental Validation
Authors: Badri Abinaya , Raman Karthik , Jayaraman Guhan
Published: June 2019

Hyaluronan (HA), a glycosaminoglycan with important medical applications, is commercially produced from pathogenic microbial sources. The metabolism of HA-producing recombinant generally regarded as safe (GRAS) systems needs to be more strategically engineered to achieve yields higher than native producers. Here, we use a genome-scale model (GEM) to account for the entire metabolic network of the cell while predicting strategies to improve HA production. We analyze the metabolic network of Lactococcus lactis adapted to produce HA and identify non-conventional strategies to enhance HA flux. We also show experimental verification of one of the predicted strategies. We thus identified an alternate route for enhancement of HA synthesis, originating from the nucleoside inosine, that can function in parallel with the traditionally known route from glucose. Adopting this strategy resulted in a 2.8-fold increase in HA yield. The strategies identified and the experimental results show that the cell is capable of involving a larger subset of metabolic pathways in HA production. Apart from being the first report to use a nucleoside to improve HA production, we demonstrate the role of experimental validation in model refinement and strategy improvisation. Overall, we point out that well-constructed GEMs could be used to derive efficient strategies to improve the biosynthesis of high-value products.
Applied Research Towards Industry 4.0: Opportunities for SMEs
Authors: Zambon Ilaria , Egidi Gianluca , Rinaldi Fabiano , Cividino Sirio
Published: June 2019

Industry 4.0 designates the recent digital revolution in the industrial sector, evolving from the comprehensive networking and automation of all the productive areas. Equipment, machinery, materials and products permit to (i) distinguish dealing out environmental settings and current status via sensors; (ii) join them through fixed software; and (iii) progress production procedures in an exclusive method. Additionally, Industry 4.0 exposes new trials to enterprises, especially small and medium-sized enterprises (SMEs). Firms should advance approaches to (i) achieve chances of innovation and digitalization; (ii) expand their processes; and (iii) define innovative business models. Based on these premises, a well-organized political, legal and infrastructural outline is essential to build up a business having an Industry 4.0 approach. Though bigger firms can get ahead through innovation processes and predicting the potential digitalization risks for their business models, SMEs may be in trouble. The present editorial aims to offer relevant research outcomes that has been carried out on such a current and emblematic theme, offering new perspectives and opportunities especially for SMEs.
Feed-in-Premium Renewable Energy Support Scheme: A Scenario Approach
Authors: Xydis George , Vlachakis Nick
Published: June 2019

Topics such as energy demand, energy security and greenhouse emissions have made countries around the world turn to more environmentally friendly resources to produce electricity. Due to their stochastic behaviour (particularly wind energy and solar photovoltaics (PV)), the energy producers that are renewable energy driven need concrete financial mechanisms in order to sell their generated electricity under uncertainty in a highly competitive environment. In this work, the application of the Feed-in Premium (FiP) policy in the Greek wholesale liberalised electricity market is compared against a multiple revenue stream tactic. The investigation of the financial performance is conducted in terms of Net Present Value and Complete Payback Period of a 10 MW wind park and a 2 MW solar PV park and is questioned under a multiple revenue stream approach. It was found for projects that offer at least 75% of their electricity production to the market, if their operation licence is extended for five more years, incentivising them to participate in the FiP scheme, instead of the Feed-in-Tariff one, this will increase their profitability in most cases, for both wind and PV projects.
A Renewal Shot Noise Process with Subexponential Shot Marks
Authors: Chen Yiqing
Published: June 2019

We investigate a shot noise process with subexponential shot marks occurring at renewal epochs. Our main result is a precise asymptotic formula for its tail probability. In doing so, some recent results regarding sums of randomly weighted subexponential random variables play a crucial role.
URSIM: Unique Regions for Sketch Map Interpretation and Matching
Authors: Mielle Malcolm , Magnusson Martin , Lilienthal Achim
Published: June 2019

We present a method for matching sketch maps to a corresponding metric map, with the aim of later using the sketch as an intuitive interface for human–robot interactions. While sketch maps are not metrically accurate and many details, which are deemed unnecessary, are omitted, they represent the topology of the environment well and are typically accurate at key locations. Thus, for sketch map interpretation and matching, one cannot only rely on metric information. Our matching method first finds the most distinguishable, or unique, regions of two maps. The topology of the maps, the positions of the unique regions, and the size of all regions are used to build region descriptors. Finally, a sequential graph matching algorithm uses the region descriptors to find correspondences between regions of the sketch and metric maps. Our method obtained higher accuracy than both a state-of-the-art matching method for inaccurate map matching, and our previous work on the subject. The state of the art was unable to match sketch maps while our method performed only 10% worse than a human expert.
Spectral Response Analysis: An Indirect and Non-Destructive Methodology for the Chlorophyll Quantification of Biocrusts
Authors: Román José Raúl , Rodríguez-Caballero Emilio , Rodríguez-Lozano Borja , Roncero-Ramos Beatriz , Chamizo Sonia , Águila-Carricondo Pilar , Cantón Yolanda
Published: June 2019

Chlorophyll a concentration (Chla) is a well-proven proxy of biocrust development, photosynthetic organisms’ status, and recovery monitoring after environmental disturbances. However, laboratory methods for the analysis of chlorophyll require destructive sampling and are expensive and time consuming. Indirect estimation of chlorophyll a by means of soil surface reflectance analysis has been demonstrated to be an accurate, cheap, and quick alternative for chlorophyll retrieval information, especially in plants. However, its application to biocrusts has yet to be harnessed. In this study we evaluated the potential of soil surface reflectance measurements for non-destructive Chla quantification over a range of biocrust types and soils. Our results revealed that from the different spectral transformation methods and techniques, the first derivative of the reflectance and the continuum removal were the most accurate for Chla retrieval. Normalized difference values in the red-edge region and common broadband indexes (e.g., normalized difference vegetation index (NDVI)) were also sensitive to changes in Chla. However, such approaches should be carefully adapted to each specific biocrust type. On the other hand, the combination of spectral measurements with non-linear random forest (RF) models provided very good fits (R2 > 0.94) with a mean root mean square error (RMSE) of about 6.5 µg/g soil, and alleviated the need for a specific calibration for each crust type, opening a wide range of opportunities to advance our knowledge of biocrust responses to ongoing global change and degradation processes from anthropogenic disturbance.
Analysis of the Development of an Erosion Gully in an Open-Pit Coal Mine Dump During a Winter Freeze-Thaw Cycle by Using Low-Cost UAVs
Authors: Gong Chuangang , Lei Shaogang , Bian Zhengfu , Liu Ying , Zhang Zhouai , Cheng Wei
Published: June 2019

Open-pit coal mine dumps in semi-arid areas in northern China are affected by serious soil erosion problems. The conventional field investigation method cannot ensure a fine spatial analysis of gully erosion. With recent technological and algorithmic developments in high-resolution terrain measurement, Unmanned Aerial Vehicles (UAVs) and Structure from Motion (SfM) technology have become powerful tools to capture high-resolution terrain data. In this study, two UAV Photogrammetry surveys and modeling were performed at one opencast coal mine dump gully before and after a freeze-thaw cycle. Finally, a three-dimensional digital model of the slope of the drainage field was established, and a centimeter-level-resolution Digital Orthophoto Map (DOM) and a Digital Elevation Model (DEM) were created. Moreover, the development process of the erosion zone of the open-pit mine dump during a freeze-thaw cycle was studied by UAVs. The results show that there are clear soil erosion phenomena in the erosion gully of the dump during a freeze-thaw cycle. The erosion degree was different across regions, with the highest erosion occurring in high-slope areas at the upper edge of the bank. Moreover, the phenomenon of flake erosion and “crumble” was recorded. At the same time, the NE-E-SE slope and the high-sunshine radiation zone were seriously eroded. Finally, the relationship between the development process of the erosion gully and micro-topography factors was analyzed, providing managers with a sound scientific basis to implement land restoration.
Tire-Pressure Identification Using Intelligent Tire with Three-Axis Accelerometer
Authors: Zhu Bing , Han Jiayi , Zhao Jian
Published: June 2019

An intelligent tire uses sensors to dynamically acquire or monitor its state. It plays a critical role in safety and maneuverability. Tire pressure is one of the most important status parameters of a tire; it influences vehicle performance in several important ways. In this paper, we propose a tire-pressure identification scheme using an intelligent tire with 3-axis accelerometers. As the primary sensing system, the accelerometers can continuously and accurately detect tire pressure with less electronic equipment mounted in the tire. To identify tire pressure in real time during routine driving, we first developed a prototype for the intelligent tire with three 3-axis accelerometers, and carried out data-acquisition tests under different tire pressures. Then we filtered the data and concentrated on the vibration acceleration of the rim in the circumferential direction. After analysis, we established the relationship between tire pressure and characteristic frequency of the rim. Finally, we verified our identification scheme with actual vehicle data at different tire pressures. The results confirm that the identified tire pressure is very close to the actual value.
Jitter Elimination in Shape Recovery by using Adaptive Neural Network Filter
Authors: Lee Sung-An , Jang Hoon-Seok , Lee Byung-Geun
Published: June 2019

Three-dimensional (3D) cameras are expensive because they employ additional charged coupled device sensors and optical elements, e.g., lasers or complicated scanning mirror systems. One passive optical method, shape from focus (SFF), provides an efficient low cost solution for 3D cameras. However, mechanical vibration of the SFF imaging system causes jitter noise along the optical axis, which makes it difficult to obtain accurate shape information of objects. In traditional methods, this error cannot be removed and increases as the estimation of the shape recovery progresses. Therefore, the final 3D shape may be inaccurate. We introduce an accurate depth estimation method using an adaptive neural network (ANN) filter to remove the jitter noise effects. Jitter noise is modeled by both Gaussian distribution and non-Gaussian distribution. Then, focus curves are modeled by quadratic functions. The ANN filter is designed as an optimal estimator restoring the original position of each frame of the input image sequence in the modeled jitter noise, as a pre-processing step before the initial depth map is obtained. The proposed method was evaluated using image sequences of both synthetic and real objects. Experimental results demonstrate that it is reasonably efficient and that its accuracy is comparable with that of existing systems.
Women in Higher Education Management: Agents for Cultural and Structural Change?
Authors: Wroblewski Angela
Published: June 2019

This article examines whether and under which conditions a rising participation of women in higher education management contributes to cultural and structural change in science and research. In Austria, the introduction of a statutory quota regulation for university decision-making bodies like the rectorate, the senate, or the university council brought about a rapid and substantial increase in the share of female rectors and vice rectors. However, there are also gender-specific differences among rectorate members: women are significantly younger than men when they take up a rectorate position and switch less frequently from a professorship to such a position. This situation and the gender expertise of the rectors and vice rectors themselves contribute to the potential for change. Explicit gender equality goals and the establishment of gender competence as a qualification criterion for all rectors and vice rectors would be needed to make use of the potential of women in the rectorate to be agents for cultural and structural change.
Transformational Changes and Sustainability: From the Perspective of Identity, Trust, Commitment, and Withdrawal
Authors: Malik Ambreen , Akhtar Muhammad Naseer , Talat Usman , Chang Kirk
Published: June 2019

Drawing upon the psychology of sustainability, effective organizations can create a sense of belongingness for people, and successfully facilitate growth and development activities for both individuals as well as the organization itself. Extending the recommendations of Zappala, Toscano, and Licciardello, the current study considers a range of variables. The role of overall justice judgements and change favorableness are taken as predictors of affective commitment to change and exit-based withdrawal. The relationship is mediated by organizational identification and moderated by trust in organization. Overall, the results support the hypothesized relationships. Specifically, findings showed that both change favorableness and overall justice judgements are positively related to affective commitment to change and negatively related to exit-based withdrawal. Organizational identification mediates the relationships between overall justice judgements–affective commitment to change, change favorableness–affective commitment to change, and change favorableness–exit-based withdrawal, whilst trust in organizations moderated the direct relationship between overall justice judgements–affective commitment to change, and change favorableness–exit-based withdrawal. Furthermore, the indirect effect of trust in organizations positively moderated the relationship of overall justice judgements and change favorableness with affective commitment to change, and at the same time, it negatively moderated the relationship between change favorableness and exit-based withdrawal via organizational identification. Crucially, for practitioners, this brings trust of employees as a key factor that should be managed to ensure sustainable change. Both trust and identity appear important in improving commitment and lowering the exit-based withdrawal behavior of employees. Future recommendations, implications, and limitations are discussed.
An Estimation of the Extent of Rent-Free Farmland Transfer and Its Driving Forces in Rural China: A Multilevel Logit Model Analysis
Authors: Wang Yahui , Xin Liangjie , Zhang Haozhe , Li Yuanqing
Published: June 2019

In recent years, the rent-free farmland transfer has become increasingly prominent in rural China. By employing multiple data sources, this study estimates the extent of rent-free land transfer from 1986 to 2015 and develops a multilevel logit model to identify its drivers. The results show that the extent of rent-free land transfer has been increasing, especially since 2002, and 30% to 50% of the land that has been transferred does not receive any rent, both in terms of the number of land parcels and the land area. There are obvious regional differences for the rent-free phenomenon in the process of land transfer, especially in mountainous areas, where the proportion is more than 70%. The cost-benefit analysis at the land parcel level shows that the average net income of rent-free land per mu that has been transferred (1 mu = 1/15 ha) is at a loss of 66 yuan, at 35 yuan. The rent-free land transfer is affected by factors at the levels of the land parcel, farmer and village. The land parcel size, quality level and irrigation condition are the key factors at the land parcel level; the ratio of the non-agricultural income in the family and land fragmentation are the key factors at the farmer level, and the inter-village gap is the key factor at the village level. The land parcel features account for approximately 40% of the variation in the rent-free land transfer. In sum, the increase in the labour cost is the direct reason for the rent-free land transfer, and land parcel features and the marginalization of mountainous areas are the preconditions for the rent-free land transfer. A rent-free land transfer is reasonable to some extent, but it is not an informal land transfer, and land rent does not play an effective role in allocating land resources. In this process, the idle or abandoned land resources in mountainous areas become relatively rich. The government should reasonably introduce urban capital and fully tap relatively rich land resources to realize the land capital appreciation and develop the local economy, and it should further regulate the land rental market and lay an emphasis on the integration of land resources, while moderating scale operations in mountainous areas.
The Impact of Government Subsidy on Renewable Microgrid Investment Considering Double Externalities
Authors: Xu Deng , Long Yong
Published: June 2019

Since microgrids require public support to make economic sense, governments regularly subsidize renewable microgrids to increase their renewable energy market penetration. In this study, we investigated the optimal subsidy level for governments to correct the market failure of microgrids and analyzed the impacts of regulation on the interaction between a microgrid and a distribution network operator (DNO). Specifically, we proposed economic rationales for government subsidies for microgrids regarding public interest benefits in relation to double externalities (learning spillover effect and environmental externality). We incorporated the double externalities into a three-echelon game model in an electricity supply chain with one regulator, one microgrid, and one DNO, in which the regulator decides the subsidy level to achieve maximal social welfare. We found that the double externalities and double marginalization caused underinvestment in microgrid capacity in the scenario without government intervention. The government could choose the appropriate subsidy level to achieve the system optimum, which led to a triple win for the microgrid, the DNO, and the social planner. Our analytical results also showed that the microgrid gained more benefits from regulation than the DNO. The microgrid may offer a negative wholesale price to the DNO in exchange for more opportunities to import electricity into the grid, especially when the investment cost is sufficiently low. Our study suggests that supporting microgrids requires a subsidy phase-out mechanism and alternative market-oriented policies with the development of the microgrid industry.
Exploring the Role of Community Self-Organisation in the Creation and Creative Dissolution of a Community Food Initiative
Authors: Hasanov Mustafa , Zuidema Christian , Horlings Lummina G.
Published: June 2019

Community food initiatives are gaining momentum. Across various geographical contexts, community food initiatives are self-organising, providing communities with inspiration, knowledge and the opportunity to work towards responsible and socially acceptable transformations in food systems. In this article, we explore how self-organisation manifests itself in the daily activities and developments of community food initiatives. Through the conceptual lens of community self-organisation, we aim to provide a more detailed understanding of how community food initiatives contribute to broader and transformational shifts in food systems. Drawing on a multi-method approach, including community-based participatory research, interviews and observations, this article follows the creation and creative dissolution of the Free Café—a surplus food sharing initiative in Groningen, the Netherlands, which in the eye of the public remains unified, but from the volunteers’ perspectives split up into three different initiatives. The results suggest that community self-organisation accommodates differing motivations and experiences embedded in the everyday collective performances of community rationalities and aspirations. This article also points to the changing individual and collective perspectives, vulnerabilities and everyday politics within community food initiatives. This paper contributes to emerging debates on community self-organising within food systems and the potential of community initiatives to promote broader social realignments.
Monitoring Potato Waste in Food Manufacturing Using Image Processing and Internet of Things Approach
Authors: Jagtap Sandeep , Bhatt Chintan , Thik Jaydeep , Rahimifard Shahin
Published: June 2019

Approximately one-third of the food produced globally is spoiled or wasted in the food supply chain (FSC). Essentially, it is lost before it even reaches the end consumer. Conventional methods of food waste tracking relying on paper-based logs to collect and analyse the data are costly, laborious, and time-consuming. Hence, an automated and real-time system based on the Internet of Things (IoT) concepts is proposed to measure the overall amount of waste as well as the reasons for waste generation in real-time within the potato processing industry, by using modern image processing and load cell technologies. The images captured through a specially positioned camera are processed to identify the damaged, unusable potatoes, and a digital load cell is used to measure their weight. Subsequently, a deep learning architecture, specifically the Convolutional Neural Network (CNN), is utilised to determine a potential reason for the potato waste generation. An accuracy of 99.79% was achieved using a small set of samples during the training test. We were successful enough to achieve a training accuracy of 94.06%, a validation accuracy of 85%, and a test accuracy of 83.3% after parameter tuning. This still represents a significant improvement over manual monitoring and extraction of waste within a potato processing line. In addition, the real-time data generated by this system help actors in the production, transportation, and processing of potatoes to determine various causes of waste generation and aid in the implementation of corrective actions.
Indicator-Based Sustainability Assessment Tool to Support Coastal and Marine Management
Authors: Karnauskaitė Donalda , Schernewski Gerald , Støttrup Josianne G. , Kataržytė Marija
Published: June 2019

The applied Indicator-based Sustainability Assessment Tool (InSAT) serves as a user-friendly computer-aided tool to support coastal and marine management. Focus is on sustainable coastal development, including environmental, social, and economic aspects. We apply the InSAT to assess the changes in sustainability before, during, and after the implementation of management measures. The assessments address three case studies in Lithuania: the construction of a liquefied natural gas terminal in Klaipeda, the renewal of the port of Sventoji, and the opening of a beach in Nida. The application of core and optional indicators highlights the strengths and weaknesses of the management measures. We analyze to what extent, how, and when the InSAT can be applied within a stepwise Systems Approach Framework (SAF) to support sustainable coastal and marine management. Further, we assess how the tool can be applied within other integrated approaches. The application of tailor-made indicators helps to identify potential conflicts and raise discussions about sustainable development between stakeholders and decision-makers and therefore supports the decision-making process. The tool indicates the management measures’ weaknesses, but the assessment results do not indicate what kind of solutions should be undertaken. However, it can still serve to support, guide, and supplement the participation and discussion processes.