bluuebunny/crossref_metadata_2025_split huggingface dataset:
Agricultural Landscapes in Brandenburg, Germany: An Analysis of Characteristics and Spatial Patterns
Authors: Wolff Saskia , Hüttel Silke , Nendel Claas , Lakes Tobia 
Published: March 2021

AbstractThe increasing demand for agricultural commodities for food and energy purposes has led to intensified agricultural land management, along with the homogenization of landscapes, adverse biodiversity effects and robustness of landscapes regarding the provision of ecosystem services. At the same time, subsidized organic agriculture and extensive grassland use supports the provision of ecosystem services. Yet little is understood about how to evaluate a landscape’s potential to contribute to protecting and enhancing biodiversity and ecosystem services. To address this gap, we use plot-level data from the Integrated Administration and Control System (IACS) for Germany’s federal state of Brandenburg, and based on a two-step cluster analysis, we identify six types of agricultural landscapes. These clusters differ in landscape structure, diversity and measures for agricultural land management intensity. Agricultural land in Brandenburg is dominated by high shares of cropland but fragmented differently. Lands under organic management and those with a high share of maize show strong spatial autocorrelation, pointing to local clusters. Identification of different types of landscapes permits locally- and region-adapted designs of environmental and agricultural policy measures improves outcome-oriented environmental policy impact evaluation and landscape planning. Our approach allows transferability to other EU regions.
A Novel Approach to Fabricate Carbon Nanomaterials–Nanoparticle Solids through Aqueous Solutions and Their Applications
Authors: Younes Hammad , Hong Haiping , Peterson G. P. 
Published: March 2021

AbstractA better understanding of the bonding and aggregation processes occurring between carbon nanomaterials and metal oxide particles in aqueous solutions is important in the development of novel nanosolids for applications in the areas of sensor development, highly conductive paint, nanotube alignment, polymer composites, Li-ion batteries, and many other areas. The current investigation reviews these processes and presents a detailed description of the aggregation processes occurring between carbon nanomaterials and metal oxide particles (metals) in various aqueous solutions. The results indicate that the charge attraction between the particles results in a strong homogeneous bonding that occurs within the aqueous solution and for the first time demonstrate and describe the aggregation process of these nanoparticles. The relative importance of many parameters that impact the aggregation process is identified and discussed, and guidelines for controlling the aggregation process are presented. This is a simple and cost-effective process to manufacture a novel nano-solid based on carbon nano-material and metal oxide. In addition, the process is easy to scale up and optimize. The methodology could lead to many significant applications as well as commercialization.
Structure formation in suspensions under uniform electric or magnetic field
Authors: Manikas Konstantinos , Vogiatzis Georgios G. , Hütter Markus , Anderson Patrick D. 
Published: March 2021

AbstractThe structure formation of particles with induced dipoles dispersed in a viscous fluid, under a spatially and temporarily uniform external electric or magnetic field, is investigated by means of Brownian Dynamics simulations. Dipole–dipole interactions forces, excluded volume forces and thermal fluctuations are accounted for. The resulting structures are characterized in terms of average orientation of their inter-particle vectors (second Legendre polynomial), network structure, size of particle clusters, anisotropy of the gyration tensor of every cluster and existence of (cluster) percolation. The magnitude of the strength of the external field and the volume fraction of particles are varied and the structural evolution of the system is followed in time. The results show that the characteristic timescale calculated from the interaction of only two dipoles is also valid for the collective dynamics of many-particle simulations. In addition, the magnitude of the strength of the external field in the range of values we investigate influences only the magnitude of the deviations around the average behavior. The main characteristics (number density of branch-points and thickness of branches) of the structure are mainly affected by the volume fraction. The possibility of 3D printing these systems is explored. While the paper provides the details about the case of an electric field, all results presented here can be translated directly into the case of a magnetic field and paramagnetic particles.
Designing a long short-term network for short-term forecasting of global horizontal irradiance
Authors: Malakar Sourav , Goswami Saptarsi , Ganguli Bhaswati , Chakrabarti Amlan , Roy Sugata Sen , Boopathi K. , Rangaraj A. G. 
Published: March 2021

AbstractLong short-term memory (LSTM) models based on specialized deep neural network-based architecture have emerged as an important model for forecasting time-series. However, the literature does not provide clear guidelines for design choices, which affect forecasting performance. Such choices include the need for pre-processing techniques such as deseasonalization, ordering of the input data, network size, batch size, and forecasting horizon. We detail this in the context of short-term forecasting of global horizontal irradiance, an accepted proxy for solar energy. Particularly, short-term forecasting is critical because the cloud conditions change at a sub-hourly having large impacts on incident solar radiation. We conduct an empirical investigation based on data from three solar stations from two climatic zones of India over two seasons. From an application perspective, it may be noted that despite the thrust given to solar energy generation in India, the literature contains few instances of robust studies across climatic zones and seasons. The model thus obtained subsequently outperformed three recent benchmark methods based on random forest, recurrent neural network, and LSTM, respectively, in terms of forecasting accuracy. Our findings underscore the importance of considering the temporal order of the data, lack of any discernible benefit from data pre-processing, the effect of making the LSTM model stateful. It is also found that the number of nodes in an LSTM network, as well as batch size, is influenced by the variability of the input data.
Generalized linear models for analyzing count data of rainfall occurrences
Authors: Sumi Sharmin Nahar , Sinha Narayan Chandra , Islam M. Ataharul 
Published: March 2021

AbstractHaving the adequate knowledge about the behavior of climatic variables on the occurrences of rainfall is needed to the country’s economists and agriculturists for saving the country’s people from the devastating natural hazards like flash flood, drought, heavy rainfall, etc. Therefore, the study has been taken initiative to identify the influence of climatic variables for the occurrences of rainfall. The study has been developed generalized linear models (GLMs) for Poisson distribution for weekly and fortnightly count data of daily rainfall occurrences for the summer and monsoon seasons for five regional rainfall stations of Bangladesh. For these models, minimum and maximum temperatures and relative humidity are considered as explanatory variables. For five regional rainfall stations, the model selection procedures AIC and BIC indicate that the GLMs for the Poisson distribution satisfactorily explain the influence of climatic variables for the fortnightly occurrences of rainfall in the summer and monsoon seasons. The GLMs for the summer season of fortnightly occurrences of rainfall indicate that if one unit of relative humidity increases, then the probability of rainy days will be increased by 12 percent in Feni station, 6 percent in Sylhet, Khulna and Rajshahi stations, and 7 percent in Dhaka station. Besides, the GLMs for the monsoon season of fortnightly occurrences of rainfall indicate that if one unit increases of minimum temperature, then the probability of rainy days will be increased by 22 percent, 19 percent, 24 percent, 17 percent and 19 percent in Feni, Sylhet, Khulna, Rajshahi and Dhaka stations, respectively. Further, maximum temperature indicates negative influence on the occurrences of rainfall for all the stations and seasons of the period. The study indicates that the relative humidity for summer season and minimum temperature for monsoon season play remarkable role for changing fortnightly occurrences of rainfall in all the regions of the country.
Adjustment of glacier geometries to future equilibrium line altitudes in the Shigar River Basin of Karakoram Range, Pakistan
Authors: Baig Siddique Ullah , Muneeb Fakhra 
Published: March 2021

AbstractPakistan’s Karakoram region has a large variety of glacier types. Equilibrium line altitude (ELA) of alpine or valley glaciers represents mass balance. Field observations for estimation of ELA of the majority of Karakoram’s glaciers are not available due to rugged glacier-covered terrains and lack of climatic data above 5000 masl. Therefore, we applied the hypsometrically controlled accumulation area ratio (AAR) and accumulation area balance ratio (AABR) methods for ELA estimation and glacier–climate reconstructions in the Shigar River Basin of the Karakoram region. Constrained by mountain topography, larger size and type of glaciers, several ranges of ELA are calculated and implemented for several ratios. Two parameters (ratio and interval) are provided to calculate AAR-ELAs between 0.4 and 0.8 with 0.05 interval and AABR-ELAs between 0.9 and 4.4 with 0.01 interval. By providing constant AAR (rather than constant glacier area), this approach adjusted glacier geometries (area) to future ELA variations. For constant AAR of 0.4–0.45, a 90-m ELA decrease from 5769 to 5679 m of Baltoro glacier adjusted its geometries by reducing ~ 5% area. The highest decrease of 140-m ELA of the same glacier is reported for constant AAR of 0.7–0.75, revealing a significant loss of 8% geometries. The projected geometry losses for all these glaciers are highly variable, with top-heavy glaciers (Biafo and Baltoro) projected to experience the major losses in glacier-ice area. It is concluded that the quality of ELAs is highly dependent on the reconstructed three-dimensional glacier surfaces.
Antioxidative study of polysaccharides extracted from red (Kappaphycus alvarezii), green (Kappaphycus striatus) and brown (Padina gymnospora) marine macroalgae/seaweed
Authors: Bhuyar Prakash , Sundararaju Sathyavathi , Rahim Mohd Hasbi Ab. , Unpaprom Yuwalee , Maniam Gaanty Pragas , Govindan Natanamurugaraj 
Published: March 2021

AbstractSterile and fresh tissues of three marine macroalgae red, green and brown (Kappaphycus alvarezii, Kappaphycus striatusandPadina gymnospora) collected from Malaysia east costal seas were compared for the antioxidants and polysaccharide composition of sugars as well as the active components. Results obtained showed that polysaccharides isolated fromKappaphycus alvarezii, Kappaphycus striatusandPadina gymnospora) can be used as a source of natural antioxidant compounds as they possess antioxidant potential in which thePadina gymnosporashowed 15.56 ± 0.12 mg/mL to be the best antioxidants among all the polysaccharides studied. The hot water extraction method is effective in isolating polysaccharides from studied seaweeds. The GC–MS analysis revealed that there is presence of chemical compounds such as furfural was 25.53% inKappaphycus alvareziiand 21.04% inKappaphycus striatusalsoPadina gymnosporaincorporates n- Hexadecanoic acid about 26.31% in seaweed polysaccharides that contribute to their antioxidant activities. Further studies can be done on determining the seaweed species that are available abundantly with the best source of natural antioxidant compounds.
Mutation Profile in BCR-ABL1-Negative Myeloproliferative Neoplasms
Authors: Maddali Madhavi , Kulkarni Uday Prakash , Ravindra Niveditha , Arunachalam Arun Kumar , Venkatraman Arvind , Lionel Sharon , Manipadam Marie Therese , Devasia Anup J. , Korula Anu , Fouzia N.A. , Abraham Aby , Srivastava Alok , George Biju , Balasubramanian Poonkuzhali , Mathews Vikram 
Published: March 2021

Objective/Background:
Recurrent somatic mutations in the JAK2, calreticulin (CALR), and the MPL genes are described as drivers of BCR-ABL1-negative myeloproliferative neoplasms (MPN) that includes polycythemia vera (PV), essential thrombocytosis (ET), primary myelofibrosis (PMF), and MPN unclassified (MPN-U).

Methods:
We describe the mutation profile and clinical features of MPN cases diagnosed at a tertiary care center. JAK2V617F and MPL (S505/W515) mutations were screened by allele-specific polymerase chain reaction, while CALR exon 9 and JAK2 exon 12 mutations were screened by fragment analysis/Sanger sequencing. Among the 1,570 patients tested for these mutations during the study period, 407 were classified as MPN with a diagnosis of PV, ET, PMF, and MPN-U seen in 30%, 17%, 36%, and 17%, respectively, screened.

Results:
Similar to previous reports from Asian countries, the incidence of PMF was the highest among the classic MPN. JAK2V617F mutation was detected in 90% of PV, 38% of ET, 48% of PMF, and 65% of MPN-U. JAK2 exon 12 mutations were seen in 5.7% of PV and 1.4% of PMF. CALR exon 9 mutations were seen in 33% of ET, 33% of PMF, and 12% of MPN-U. MPL mutations were detected in 2.8%, 2.7%, and 2.9% of ET, PMF, and MPN-U, respectively. Fifteen % of PMF, 26% of ET, and 22% of MPN-U were triple negative.

Conclusion:
There was a significantly higher incidence of CALR mutation in PMF and ET cases. Our study highlights the challenges in the diagnosis of JAK2-negative PV and the need for harmonization of criteria for the same.
Outcomes of Complex Gastrointestinal Cancer Resection at US News & World Report Top-Ranked vs Non-Ranked Hospitals
Authors: Tay Erika , Gambhir Sahil , Stopenski Stephen , Hohmann Samuel , Smith Brian R. , Daly Shaun , Hinojosa Marcelo W. , Nguyen Ninh T. 
Published: March 2021

BACKGROUND:
The US News & World Report (USNWR) annual ranking of the best hospitals for gastroenterology and gastrointestinal surgery offers direction to patients and healthcare providers, especially for recommendations on complex medical and surgical gastrointestinal (GI) conditions. The objective of this study was to examine the outcomes of complex GI cancer resections performed at USNWR top-ranked, compared to non-ranked, hospitals.

STUDY DESIGN:
Using the Vizient database, data for patients who underwent esophagectomy, gastrectomy, and pancreatectomy for malignancy between January and December 2018 were reviewed. Perioperative outcomes were analyzed according to USNWR rank status. Primary outcome was in-hospital mortality. Secondary outcomes include length of stay, mortality index (observed-to-expected mortality ratio), rate of serious complication, and cost. Secondary analysis was performed for outcomes of patients who developed serious complications.

RESULTS:
There were 3,054 complex GI cancer resections performed at 42 top-ranked hospitals vs 3,608 resections performed at 198 non-ranked hospitals. The mean annual case volume was 73 cases at top-ranked hospitals compared to 18 cases at non-ranked hospitals. Compared with non-ranked hospitals, top-ranked hospitals had lower in-hospital mortality (0.96% vs 2.26%, respectively, p < 0.001) and lower mortality index (0.71 vs 1.53, respectively). There were no significant differences in length of stay, rate of serious complications, or direct cost between groups. In patients who developed serious morbidity, top-ranked hospitals had a lower mortality compared with non-ranked hospitals (8.2% vs 16.8%, respectively, p < 0.01).

CONCLUSIONS:
Within the context of complex GI cancer resection, USNWR top-ranked hospitals performed a 4-fold higher case volume and were associated with improved outcomes. Patients with complex GI-related malignancies may benefit from seeking surgical care at high-volume regional USNWR top-ranked hospitals.
Lateral Seismic Anisotropy Variations Record Interaction Between Tibetan Mantle Flow and Plume‐Strengthened Yangtze Craton
Authors: Li Wei , Chen Yun , Liang Xiaofeng , Xu Yi‐Gang 
Published: March 2021

AbstractThe southeastern Tibetan Plateau experienced intense Cenozoic shortening and extrusion along the western Yangtze Craton, SW China, where the Permian Emeishan flood basalts were emplaced. Seismic anisotropy along a dense E–W‐trending linear seismic array across the west Yunnan is determined by shear‐wave splitting analysis to characterize the deformation associated with these processes. Interestingly, a strong N–S‐oriented anisotropic zone collocated with the Eocene–Oligocene potassic magmatism is observed between two weak anisotropic zones in the Three‐River Orogenic Zone and the western Yangtze Craton, respectively. The lateral anisotropy variation and distinct upper mantle structures collectively suggest that the western most Yangtze Craton, strengthened by the Permian mantle plume, acted as a rigid barrier to divert the Cenozoic Tibetan mantle flow into the Three‐River Orogenic Zone. Consequently, the western edge of the Yangtze Craton has been partially eroded and its anisotropic orientation was realigned to the direction of the mantle flow. This observation indicates that both the remodeled anisotropy in the lithosphere and the dynamic flow in the asthenosphere contribute to the mantle anisotropy at the lateral lithosphere‐asthenosphere transition, which is usually hard to seismologically resolve from the vertical lithosphere‐asthenosphere boundary.
Enhanced Climate Response to Ozone Depletion From Ozone‐Circulation Coupling
Authors: Lin Pu , Ming Yi 
Published: March 2021

AbstractThe effect of stratospheric ozone depletion is simulated in GFDL AM4 model with three ozone schemes: Prescribing monthly zonal mean ozone concentration, full interactive stratospheric chemistry, and a simplified linear ozone chemistry scheme but with full dynamical interactions. While similar amounts of ozone loss are simulated by the three schemes, the two interactive ozone schemes produce significantly stronger stratospheric cooling than the prescribed one. We find that this temperature difference is driven by the dynamical responses to ozone depletion. In particular, the existence of ozone hole leads to strong ozone eddies that are in‐phase with the temperature eddies. The coherence between ozone and temperature anomalies leads to a weaker radiative damping as ozone absorbs shortwave radiation that compensates for the longwave cooling. As a result, less wave dissipates at the lower stratosphere, leading to a weaker descending and dynamical heating over the polar lower stratosphere, and hence a stronger net cooling there. The covariance between ozone and temperature is largely suppressed when ozone is prescribed as monthly zonal mean time series, as is the reduction in the radiative damping following ozone depletion. With much lower computational cost, the simplified ozone scheme is capable of producing similar magnitude of ozone loss and the consequent dynamical responses to those simulated by the full chemistry.
C‐CNNLoc: Constrained CNN for robust indoor localization with building boundary
Authors: Oh Y. , Noh H.‐M. , Shin W. 
Published: March 2021

AbstractTo enable accurate and reliable indoor localization in a multi‐building environment, a novel constrained convolutional neural network (CNN)‐based indoor localization system (C‐CNNLoc) is proposed using WiFi fingerprinting approach. The proposed network has a sequential structure that firstly classifies a building, followed by estimating the user's location coordinate within the pre‐detected building. Furthermore, the location accuracy is improved by introducing a new loss function that incorporates a penalty term associated with the building boundary. Experimental results illustrate that the proposed method outperforms the existing solutions on the average distance error. The gain comes from that the approach tailored to a multi‐building indoor localization with the sequential structure is prone to successfully correct outliers, that is, predicted location coordinates that lie outside the buildings.
Current Concepts on the Pathogenesis of Peri-implantitis: A Narrative Review
Authors: Fragkioudakis Ioannis , Tseleki Georgia , Doufexi Aikaterini-Elisavet , Sakellari Dimitra 
Published: March 2021

AbstractAs implant treatment has been integrated in contemporary dental practice, complications with the forms of peri-implant mucositis and peri-implantitis have also increased in prevalence. Peri-implantitis is the more severe biological complication and is defined as an inflammatory disease affecting peri-implant tissues resulting in bone and eventually implant loss. In addition, the treatment of peri-implantitis has currently become a substantial global economic burden. In the current study, a search was conducted in several electronic databases using specific keywords relevant to the article’s main topic. An increasing number of scientific reports have investigated the etiopathology of peri-implant diseases, focusing mainly on peri-implantitis. Microbial biofilm consists an important etiological factor of peri-implant pathology analogous to periodontal diseases. Although several data confirm that peri-implant infections are dominated by gram-negative bacteria, similar to periodontal infections, there is evidence that some cases may harbor a distinct microbiota, including opportunistic microorganisms and/or uncultivable species. Additionally, data support that several parameters, such as genetic predisposition of individual patients, occlusal overload, and local factors such as titanium particles and excess cement, may be implicated in peri-implantitis pathogenesis. Simultaneously, the release of titanium metal particles and their biological consequences or the presence of excess cement in the adjacent peri-implant tissues have also been suggested as factors that contribute to peri-implant pathology. A specific line of research also indicates the role of foreign body response to implant installation. This narrative review aims to discuss the current concepts of etiopathogenetic factors implicated in peri-implantitis.
Continuing Education through COVID-19 Crisis in the United Kingdom: A Swiss Trainee Abroad
Authors: Zientara Alicja 
Published: March 2021

AbstractThe work has been awarded in July 2020 with the “Special Swiss Young Cardiac Surgeon Award 2020” by the Swiss Society of Cardiac Surgery (Schweizerische Gesellschaft für Herz- und thorakale Gefässchirurgie [SGHC-SSCC]) and reflects a personal perspective from a Swiss trainee experiencing the novel coronavirus disease 2019 (COVID-19) pandemic during her fellowship in London.
Management of a Residual VSD 60 Years after One of the First Operations Worldwide
Authors: Hegazy Yasser Yehia , Koriem Mohamed , Keshk-Hegazy Noha Samir , Sodian Ralf 
Published: March 2021

Abstract
Background Although surgical closure of ventricular septal defect (VSD) is the gold standard treatment, patients are subjected to deterioration in the following decades. We will present here the first case in literature surviving 60 years after surgical VSD closure with a residual VSD and presenting again for surgery.
Case Description A 68-year-old male patient who underwent surgical closure of a perimembranous VSD in Berlin in 1959. Postoperatively, a small residual VSD was noticed, which was well tolerated over six decades. He presented 60 years postoperatively with severe aortic regurgitation, tricuspid regurgitation, and moderate mitral regurgitation.