bluuebunny/crossref_metadata_2025_split huggingface dataset:
Serpin Signatures in Prion and Alzheimer’s Diseases
Authors: Zattoni Marco , Mearelli Marika , Vanni Silvia , Colini Baldeschi Arianna , Tran Thanh Hoa , Ferracin Chiara , Catania Marcella , Moda Fabio , Di Fede Giuseppe , Giaccone Giorgio , Tagliavini Fabrizio , Zanusso Gianluigi , Ironside James W. , Ferrer Isidre , Legname Giuseppe 
Published: April 2022

Abstract
Serpins represent the most broadly distributed superfamily of proteases inhibitors. They contribute to a variety of physiological functions and any alteration of the serpin-protease equilibrium can lead to severe consequences. SERPINA3 dysregulation has been associated with Alzheimer’s disease (AD) and prion diseases. In this study, we investigated the differential expression of serpin superfamily members in neurodegenerative diseases. SERPIN expression was analyzed in human frontal cortex samples from cases of sporadic Creutzfeldt-Jakob disease (sCJD), patients at early stages of AD–related pathology, and age-matched controls not affected by neurodegenerative disorders. In addition, we studied whether Serpin expression was dysregulated in two animal models of prion disease and AD.Our analysis revealed that, besides the already observed upregulation of SERPINA3 in patients with prion disease and AD, SERPINB1, SERPINB6, SERPING1, SERPINH1, and SERPINI1 were dysregulated in sCJD individuals compared to controls, while only SERPINB1 was upregulated in AD patients. Furthermore, we analyzed whether other serpin members were differentially expressed in prion-infected mice compared to controls and, together with SerpinA3n, SerpinF2 increased levels were observed. Interestingly, SerpinA3n transcript and protein were upregulated in a mouse model of AD. The SERPINA3/SerpinA3nincreased anti-protease activity found in post-mortem brain tissue of AD and prion disease samples suggest its involvement in the neurodegenerative processes. A SERPINA3/SerpinA3n role in neurodegenerative disease-related protein aggregation was further corroborated by in vitro SerpinA3n-dependent prion accumulation changes. Our results indicate SERPINA3/SerpinA3n is a potential therapeutic target for the treatment of prion and prion-like neurodegenerative diseases.
A building energy models calibration methodology based on inverse modelling approach
Authors: González Vicente Gutiérrez , Bandera Carlos Fernández 
Published: April 2022

AbstractNowadays, building energy models (BEMs) are widely used, particularly in the assessment of energy consumption in buildings to address the potential savings that can be generated. The realisation of a dynamic energy model based on high-fidelity physics (white-box models) requires a tuning process to fit the model to reality, due to many uncertainties involved. Currently some research trends try to reduce this performance gap by modulating different types of experimental parameters such as: capacitances or infiltration. The EnergyPlus simulation software, in its latest versions, has implemented an object: HybridModel:Zone that calculates the infiltration and internal mass of buildings using an inverse modelling approach that employs only the measured indoor temperature data to invert the heat balance equation for the zone under study. The main objective of this paper is to reduce the execution time and uncertainties in the development of quality energy models by generating a new calibration methodology that implements this approach. This uses, as a starting point, a research created by the authors of this study, which was empirically and comparatively validated against the energy models developed by the participants in Annex 58. It is also worth highlighting the empirical validation of the HybridModel:Zone object, since it was activated in all scenarios where its execution is possible: periods of seven days or more of free oscillation and periods in which the building is under load. The findings are promising. The data generated with the new methodology, if compared with those produced by the baseline model, improve their resemblance to the real ones by 22.9%. While those of its predecessor did it by 15.6%. For this study, the two dwellings foreseen in Annex 58 of the IEA ECB project have been modelled and their real monitoring data have been used.
Vitiligo
Authors: Harpain Lucie , Radakovic Sonja 
Published: April 2022

ZusammenfassungWeltweit sind ca. 0,06–2,28 % der Menschen von Vitiligo betroffen. Etwa 25 % der Patienten geben einen Krankheitsbeginn vor dem 10. Lebensjahr an. Vitiligo-Hautläsionen sind sichtbare Krankheitszeichen, daher ist der Einfluss der Erkrankung auf die Lebensqualität von betroffenen Patienten immens. Klinisch präsentiert sich die Vitiligo in nichtschuppenden, scharf begrenzten kreideweißen Flecken, die aus einem selektiven Melanozytenverlust der Haut resultieren und unter langwelligem UVA-Licht (Wood-Licht) bläulich-weiß fluoreszieren. Eingeteilt wird die Vitiligo in zwei Hauptformen: eine nichtsegmentale Form (NSV), welche lokalisiert oder generalisiert auftritt, sowie eine segmentale Form (SV), die seltener ist und lokalisiert auftritt. Vitiligo ist eine autoimmunologische Hauterkrankung, deren Pathomechanismus zunehmend, jedoch noch nicht vollständig aufgeklärt ist. Die derzeitigen verfügbaren Therapien zielen primär darauf ab, das Fortschreiten der Krankheit zu stoppen und wenn möglich eine Repigmentierung zu erzielen. Zu den geläufigsten Therapien der Vitiligo zählen topische Kortikosteroide und Kalzineurin-Inhibitoren sowie Phototherapie, insbesondere Schmalband-UVB. Rezente vielversprechende Ergebnisse aus klinischen Studien mit Januskinase-Inhibitoren (JAK-Inhibitoren) deuten darauf hin, dass wir in naher Zukunft über weitere wirksame Behandlungen der Vitiligo verfügen werden.
Mapping of Reservoir Properties using Model-based Seismic Inversion and Neural Network Architecture in Raniganj Basin, India
Authors: Banerjee Abir , Chatterjee Rima 
Published: April 2022

Abstract
Reservoir characterization is necessary to compute reservoir parameters for hydrocarbon potential and production optimization. The limitation of robust data and the presence of cultural noise is a constraint for reservoir characterization in the Raniganj basin located in India. Based on available well logs and two-dimensional post-stack seismic data, a model-based seismic inversion is executed to generate acoustic impedance by converting acoustic reflectivity into rock elastic parameters. Moreover, the seismic attributes obtained from the inversion are implemented in neural network architectures to map shale volume, Young’s modulus, and Poisson’s ratio. Error analysis between predicted and actual results demonstrate multi-layered feed-forward or probabilistic neural network display a better result in obtaining reservoir parameters. The mapped reservoir section shows the acoustic impedance varying from 5000 to 16,000 (g/cc)*(m/s), shale volume ranging from 15% to 55%, Young’s modulus, and Poisson’s ratio vary from 0.5-9.5 GPa and 0.23-0.27 respectively. Cross-plot between Young’s modulus versus Poisson’s ratio classifies lithology from brittleness and it increases with depth. Neural network architectures help to identify the best model in delineating shale barriers for designing hydraulic fracturing treatments. Results from this study have added significant values in engineering application and will help in ongoing coalbed methane exploration and future geomechanical studies. However, limitations exist in resolving thin coal seams as the seismic resolution depends on the wavelength, velocity, and frequency of waves in the formation.
Balanced Cross Sections and Kinematic Evolution Across Digboi Oil Field, Northeast India
Authors: Monika Saini D. P. , Mukhopadhyay Dilip K. , Mishra Premanand 
Published: April 2022

Abstract
Digboi oil field, the oldest continuously producing oil field in India, is known to occur in an anticlinal trap (Digboi anticline) in the hanging wall of the frontal most thrust (Naga thrust) of Assam Arakan fold thrust belt. Since its discovery in 1890, about a thousand wells have been drilled in the Digboi anticline. The kinematic evolution of the Digboi anticline, however, is not well understood. In this article a geometrically valid balanced cross section and derive an internally consistent evolutionary model for the Naga thrust and related Digboi anticline are presented. It is shown that the Digboi anticline is a ramp anticline and can be best modelled as a fault-propagation fold with a high-angle breakthrough. There are two possible solutions (Model 1 and Model 2) to model the seismic events (sub-thrust high) in the footwall of Naga thrust. Model 1 considers the sub-thrust high to be real and conjectures a buried ramp anticline (Kusijan Anticline). Model 2 considers sub-thrust high to be a velocity pull up and the footwall rocks are undeformed. Both the models are geometrically and kinematically valid. Model 1 accommodates a total shortening of 32.9% while Model 2 accommodates a total shortening of 30.1%. From the present structural work and interpretation of seismic profiles, possible loci of branch line of Naga thrust along Digboi oil field is also traced.
Organic Geochemical Assessment and Characterisation of Extra-Peninsular Gondwana Coal From Kalijhora Basin, Darjeeling District, West Bengal, India
Authors: Kar Ranjeeta , Phukan Sarat , Baruah Hrishikesh 
Published: April 2022

Abstract
Kalijhora in Darjeeling district of West Bengal is one of the few places in India where extra-peninsular Gondwana rocks are exposed. The Kalijhora lithostratigraphic column which is correlatable with part of Damuda Formation, Bhutan and with fining upward Upper Barakar Formation of peninsular Lower Gondwanas, exudes imprints of Himalayan geodynamism and is largely arenaceous with minor carbonaceous shale, sandy shale and coal. The present study primarily entails the organic geochemical assessment of the coal therein to ascertain their hydrocarbon generating potential through physico-chemical methods like proximate analysis, utimate/elemental analysis and rock eval pyrolysis along with an appraisal of significant organic petrographic attributes. The study reveals that Kalijhora coals are vitrinite rich with higher vitrinite reflectance values and depict the dominance of vitrite microlithotype indicating coal formation under fluvial control. They are bituminous in rank having low moisture and relatively high ash content along with moderately high sulphur, depicting marine influence in a near shore depositional environment. The organic matter in sediments is primarily subjugated by type-III kerogen matter which has the potential to expel gaseous hydrocarbon on liquefaction. Although the TOC and S2 values are high, lower values of S1 indicate poor source rocks, fact also supported by genetic potential findings. HI and atomic H/C analyses indicate the oil generation chances to be low. Source rocks are found to be over mature with presence of inert material. A higher level conversion or expulsion is also reflected from the findings. Kalijhora coal can be categorised as dominantly bituminous medium volatile ones and, para-bituminous as per Seyler’s classification. Overall analyses indicate poor preservation of the Kalijhora coal which was also impacted by increase in terrigenous input due to near shore deposition of Kalijhora sediments under fluctuating sea levels resulting in a lower level of hydrocarbon generating potential.
Understanding the Interrelationship of Aquifer Parameters and Sedimentary Characteristics of an Aquifer: A Case Study of WRD Watershed, Chandrapur District, Maharashtra
Authors: Murkute Y. A. 
Published: April 2022

Abstract
The main focus of the present study was to ascertain close interrelationship between aquifer parameters and textural parameters of sedimentary aquifer-rock. Previously, such type of investigations were either not carried out comprehensively or carried out in restricted way and data were presented locally. The sandstones representing the aquifers from WRD watershed (Lat. 20°15'15"-20°21'05" N and Long. 79°53'55"-79°03'35" E), Chandrapur district, Maharashtra, central India, have been selected for the study. The aquifer performance was evaluated by estimation of aquifer parameters, viz., specific yield, porosity, specific capacity of well, discharge of well and transmissivity. Similarly, their correlations were carried out in relation with the percentages of primary grains (quartz grains) and matrix present in the aquifer-rock. Based upon percentage of matrix rocks were classified into arenites and wackes. The range of specific yield values for the arenites is 19.23% to 37.46% and for wackes it varies between 7.91% and 13.66%. Correspondingly, the transmissivity values are higher in arenites (82.90 to 316.05m2/ day) and lower in wackes (26.93 to 67.72m2/day). The average discharges from the wells penetrating arenite and wackes 649.19 m3/day and 181.71m3/day respectively. The higher values of specific yield and transmissivity in arenite aquifers are due to high percentage of detrital quartz grains, lesser amount of matrix and moderate sorting of the grains. Conversely, the lower percentage of detrital grains, higher amount of matrix and poor sorting of the grains are found responsible for low values of specific yield and transmissivity in the wacke aquifer.
Stilbenoids of Norway spruce bark: does the variability caused by raw-material processing offset the biological variability?
Authors: Jyske Tuula , Brännström Hanna , Halmemies Eelis , Laakso Tapio , Kilpeläinen Petri , Hyvönen Juha , Kärkkäinen Katri , Saranpää Pekka 
Published: April 2022

AbstractPolyphenolic stilbene glucosides are abundant in the fresh bark of Norway spruce (Picea abies [L.] Karst.) trees. Stilbene-rich bark extracts could be industrially utilized as preservatives due to their antioxidative, antifungal, and antibacterial properties. The postharvesting conditions, especially industrial debarking, influence the chemical properties of bark. Inherent variation in high-value compounds of bark is assumed to be offset by modifications within the bark supply chain; however, essential quantitative information is still rare. This study elucidated the magnitude of variation in the stilbenoid content and composition of Norway spruce bark due to (1) the geographical origin of Norway spruce seeds, (2) the geographical location of the growing site, (3) within-tree variability, and (4) industrial handling and pilot-scale extraction and fractioning processes. The inherent variation in stilbenoid content was large: the total average stilbenoid content of the inner bark varied from 70 to 110 mg/g of dry weight (DW). Sampling position in the stem and growing site explained over 50% of the total variance in stilbenoid content. Trees with a northern origin of seeds had a higher isorhapontin/astringin ratio than the trees with a southern origin of seeds, regardless of their growing site. Industrial bark from sawmills showed a significantly higher total stilbenoid content in winter than in summer, 22 mg/g and 1–3 mg/g DW, respectively. The inherent variation in the stilbenoid content was offset by the variation caused by the debarking process and experimental pilot-scale processing. To optimize the yield of stilbenoids from spruce bark, sampling of northern forests and short handling times in the supply chain are recommended.
Antibiotics residues in pig slurry and manure and its environmental contamination potential. A meta-analysis
Authors: Frey Larissa , Tanunchai Benjawan , Glaser Bruno 
Published: April 2022

AbstractLivestock excrements are used as natural fertilizer, in the form of manure or slurry, to provide nutrients and organic matter to arable soils. However, it is potentially contaminated with antibiotics residues, used in livestock farming to prevent diseases (and thus animal losses), as well as to increase animals’ body weight. This poses a contamination risk to surrounding environments. Therefore, we quantitatively evaluated data from 57 peer-reviewed articles published over the past 20 years to generate an overview of antibiotics residues in manure, slurry, soils, plants, and water. Our results revealed that pig manure and slurry, mostly from European countries, contained fluoroquinolones, sulfonamides, and tetracyclines. Furthermore, antibiotics used in animal husbandry are found to contaminate surrounding environments, exceeding the proposed EU threshold value for maximal environmental contamination by veterinary antibiotics in soil in many countries. In soil samples, the highest contents of tetracyclines and sulfonamides were detected in the UK (41 ± 18 μg/kg and 300 ± 10 μg/kg, respectively) and in Austria (370 μg/kg) for fluoroquinolones. In water environments, antibiotics contents were detected in low amounts in most countries (< 2 μg/L), with the highest content of fluoroquinolones and tetracyclines detected in the USA (3 ± 0.7 μg/L and 1.3 ± 0.6 μg/L, respectively) and of sulfonamides in the USA and Germany (0.3 ± 0.8 μg/L and 0.2 ± 2 μg/L, respectively). In plants, an accumulation of tetracyclines and sulfonamides was found in China, Germany, and Spain (> 50 μg/kg). However, no significant specificity of these antibiotics residues to country or continent could be observed. It is urgent that the use of veterinary antibiotics be significantly reduced in order to diminish their residues in slurry, and thus their contamination potential to the surrounding environments.
Developing a management strategy based on the relationships between brown rot and codling moth in two apple production systems
Authors: Holb Imre J. , Dremák Péter , Barkaszi Imre , Abonyi Ferenc , Lakatos Péter , Gáll József M. , Vasileiadis Vasileios P. , Gonda István 
Published: April 2022

AbstractBrown rot (BR) in relation to codling moth damage (CMD) is a key issue in apple production but the impact of these pests has not been assessed jointly. In addition, categorising cultivar reaction to these two pests for sustainable production systems could be essential for improving pest management. Therefore, in a 12-year study, 27 apple cultivars (9 scab-resistant, 9 commercial, and 9 old) were assessed for their reactions to BR in relation to CMD in integrated and organic production systems, and classified into 3 categories (“low”, “medium”, and “high”) based on their season-long BR and CMD incidences. Then the 12-year temporal BR and CMD progresses in each category were analysed by fitting three-parameter logistic functions to process data and then by deriving 5 model variables for BR and CMD incidences. Here, we showed BR-CMD relationships in both production systems, which indicated that final BR and CMD incidences were significantly higher in organic systems. Our results show that season-long BR and CMD incidences were “low” for most resistant cultivars, and “medium” or “high” for most commercial and old ones. The area under the disease and pest progress curves indicated consistent differences among all categories in both production systems; and they were used to differentiate cultivar reactions to BR and CMD. Based on these categories and BR-CMD relationships, here we developed a new brown rot and codling moth forecasting and management strategy (BRCM-FMS). BRCM-FMS and general pest management programme (GPMP) were then compared in an additional 4-year study. This was the first study to show that the BRCM-FMS reduced annual spray applications by 21.4–41.7% in integrated and 12.5–31.3% in organic production system compared to GPMP. Disease incidences in the two programmes were similar in all years, production systems and classification categories. Less sprays and similar disease incidences provide economic and environmental benefits for growers.
Accurate and efficient privacy-preserving string matching
Authors: Vaiwsri Sirintra , Ranbaduge Thilina , Christen Peter 
Published: April 2022

AbstractThe task of calculating similarities between strings held by different organisations without revealing these strings is an increasingly important problem in areas such as health informatics, national censuses, genomics, and fraud detection. Most existing privacy-preserving string matching approaches are either based on comparing sets of encoded characters allowing only exact matching of encoded strings, or they are aimed at long genomics sequences that have a small alphabet. The set-based privacy-preserving similarity functions that are commonly used to compare name and address strings in the context of privacy-preserving record linkage do not take the positions of sub-strings into account. As a result, two very different strings can potentially be considered as a match leading to wrongly linked records. Furthermore, existing set-based techniques cannot identify the length of the longest common sub-string across two strings. In this paper, we propose two new approaches for accurate and efficient privacy-preserving string matching that provide privacy against various attacks. In the first approach we apply hashing-based encoding on sub-strings (q-grams) to compare sensitive strings, while in the second approach we generate one-bit array from the sub-strings of a string to identify the longest common bit sequences. We evaluate our approaches on several data sets with different types of strings, and validate their privacy, accuracy, and complexity compared to three baseline techniques, showing that they outperform all baselines.
A Common Tracking Software Project
Authors: Ai Xiaocong , Allaire Corentin , Calace Noemi , Czirkos Angéla , Elsing Markus , Ene Irina , Farkas Ralf , Gagnon Louis-Guillaume , Garg Rocky , Gessinger Paul , Grasland Hadrien , Gray Heather M. , Gumpert Christian , Hrdinka Julia , Huth Benjamin , Kiehn Moritz , Klimpel Fabian , Kolbinger Bernadette , Krasznahorkay Attila , Langenberg Robert , Leggett Charles , Mania Georgiana , Moyse Edward , Niermann Joana , Osborn Joseph D. , Rousseau David , Salzburger Andreas , Schlag Bastian , Tompkins Lauren , Yamazaki Tomohiro , Yeo Beomki , Zhang Jin 
Published: April 2022

AbstractThe reconstruction of the trajectories of charged particles, or track reconstruction, is a key computational challenge for particle and nuclear physics experiments. While the tuning of track reconstruction algorithms can depend strongly on details of the detector geometry, the algorithms currently in use by experiments share many common features. At the same time, the intense environment of the High-Luminosity LHC accelerator and other future experiments is expected to put even greater computational stress on track reconstruction software, motivating the development of more performant algorithms. We present here A Common Tracking Software (ACTS) toolkit, which draws on the experience with track reconstruction algorithms in the ATLAS experiment and presents them in an experiment-independent and framework-independent toolkit. It provides a set of high-level track reconstruction tools which are agnostic to the details of the detection technologies and magnetic field configuration and tested for strict thread-safety to support multi-threaded event processing. We discuss the conceptual design and technical implementation of ACTS, selected applications and performance of ACTS, and the lessons learned.