cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Energy-leaky modes in partially measured scattering matrices of disordered media
Creators: name: Yu, Hyeonseung
name: Lee, KyeoReh
name: Park, YongKeun
Publisher: name: arXiv
Year: 2016
Subjects: subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: We investigate energy-leaky modes induced by incomplete measurements of the scattering matrices of complex media. Due to the limited numerical apertures of an optical system, it is experimentally challenging to access theoretically predicted perfect transmission channels in the diffusive regime. By conducting numerical simulations on scattering matrices, we demonstrate that leaky modes contributed from uncollected transmission in the TM provides an energy transmission that is more enhanced than that predicted by measurement. On the other hand, a leaky mode originating from the uncollected reflection in the partial measurement of a RM strongly suppresses the energy transmission through a zero-reflection channel, restricting the transmission enhancement to no more than a 5-fold enhancement in limited optical systems. Our study provides useful insights into the effective control of energy delivery through scattering media and its ultimate limitation in practical schemes.
Performance Evaluation of a High-Power PV Irrigation System for a Two-Year Operation Period
Creators: name: Herraiz, J.I.
name: Almeida, R.H.
name: Castillo-Cagigal, M.
name: Narvarte Fernández, L.
Publisher: name: WIP
Year: 2021
Subjects: PV Systems – Modelling, Design, Operation and Performance
Operation, Performance and Maintenance of PV Systems

description: 38th European Photovoltaic Solar Energy Conference and Exhibition; 1216-1221
description: High-power diesel-based or grid-connected irrigation systems are giving way to high-power PV irrigation systems without batteries that reduce the energy costs by up to 80%. The design of these PV systems has not yet reached maturity and there are no experimental data available about their performance or their behavior against PV power fluctuations. This paper incorporates the definition of new indices used to assess both the robustness of the system to PV power fluctuations (the “Number of abrupt stops” and the “Passing-cloud resistance ratio”) and the performance (by factoring the traditional PR to determine the influence of different factors external to the system) and presents their experimental values for a battery-free 213 kWp PV irrigation system, pumping to a water pool. The system has been analyzed over two years of real operation. For example, the percentage of abrupt stops was 1.3%, the passing-cloud resistance ratio was 99.8% and the performance ratio was 64.7%.
Assessment of Employees' Perception on Organizational Performance After Outsourcing A Case Study on Ethio Telecom
Creators: name: Adane, Dawit
Publisher: name: National Academic Digital Repository of Ethiopia
Year: 2016

description: The purpose of this research is to assess employee perception on organizational performance of ethio telecom as regards to cost efficiency, productivity, profitability and flexibility performance indicators as supported by different literatures. About 234 questionnaires were administered to 4 selected departments of ethio telecom namely strategic planning, sourcing and facility, marketing and sales (specifically sales) and customer service (specifically back office) to get primary data that treated appropriate research questions. The study found that employees of the company perceived outsourcing so far has positively affected all the four organizational performance indicators of cost efficiency, productivity, profitability and flexibility and the results indicated that the employees perceived that ethio telecom has benefited from outsourcing its business process to reduce cost of operation, to increase its productivity and profitability and improves its flexibility. The study recommends that ethio telecom should sustain business relationships that would assists in transaction negotiation with outsourcing vendors to boost the performance of the company
MPEC 2024-R40 : 2024 QQ2
Creators: name: Minor Planet Center Staff
Publisher: name: The Minor Planet Center
Year: 2024
Subjects: subject: Small Solar System bodies
valueUri: http://astrothesaurus.org/uat/1469
subject: 2024 QQ2

description: The Minor Planet Electronic Circulars contain information on unusual minor planets, routine data on comets and natural satellites, and occasional editorial announcements.  They are published on behalf of Division F of the International Astronomical Union by the Minor Planet Center, Smithsonian Astrophysical Observatory, Cambridge, MA 02138, U.S.A.
Criticisms of Positive Theory in The Light of International Developments
Creators: name: Dr. Souvik Chatterji, Tama Chakraborty
Publisher: name: Zenodo
Year: 2025

description: In this article, Bentham’s concept of pain & pleasure was discussed as well as his elaborated classificationof pleasures and pains were also explained. It emphasized that he explained that many kinds of pleasureand pains could only be experienced by creatures who had some kind of complex concepts, thoughts, andbeliefs. Bentham’s distinction between extra-regarding and self-regarding pains & pleasures were alsoimportant, and discussed carefully.1 He asserted that only benevolent and malevolent pains & pleasureswere extra-regarding. Bentham’s remarks suggested that his thought on extra-regarding pleasures and painswere taken in the pleasures and pains of others for their own sake, or no instrumentally, but he did notexplicitly say this.2

 In this article, we were going to discuss the theory of law propounded by the English jurist JeremyBentham, which was known by the various names like the theory of Pleasure and Pain, the theory ofUtilitarianism, the principle of greatest happiness, the principle of utility, etc. In this article, we wouldmention what is pleasure and pain theory? what is the principle of utility? what is the doctrine ofhedonism? what is Bentham’s theory of law? etc.3
Global sausage oscillation of solar flare loops detected by the Interface Region Imaging Spectrograph
Creators: name: Tian, Hui
name: Young, Peter R.
name: Reeves, Katharine K.
name: Wang, Tongjiang
name: Antolin, Patrick
name: Chen, Bin
name: He, Jiansen
Publisher: name: arXiv
Year: 2016
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: An observation from the Interface Region Imaging Spectrograph reveals coherent oscillations in the loops of an M1.6 flare on 2015 March 12. Both the intensity and Doppler shift of Fe~{\sc{xxi}}~1354.08Å~show clear oscillations with a period of $\sim$25 seconds. Remarkably similar oscillations were also detected in the soft X-ray flux recorded by the Geostationary Operational Environmental Satellites (GOES). With an estimated phase speed of $\sim$2420~km~s$^{-1}$ and a derived electron density of at least 5.4$\times$10$^{10}$ cm$^{-3}$, the observed short-period oscillation is most likely the global fast sausage mode of a hot flare loop. We find a phase shift of $\sim$$π$/2 (1/4 period) between the Doppler shift oscillation and the intensity/GOES oscillations, which is consistent with a recent forward modeling study of the sausage mode. The observed oscillation requires a density contrast between the flare loop and coronal background of a factor $\geqslant$42. The estimated phase speed of the global mode provides an lower limit of the Alfvén speed outside the flare loop. We also find an increase of the oscillation period, which might be caused by the separation of the loop footpoints with time.
description: 5 figures, accepted by ApJL
Atabeyarchaeia classis nov.
Creators: name: Valentin-Alvarado, Luis
Publisher: name: SeqCode Registry
Year: 2024

description: Atabeyarchaeia and Freyarchaeia represent two distinct lineages within the Asgard superphylum, expanding our understanding of archaeal diversity and metabolic capabilities. Genomic analyses reveal that Atabeyarchaeia are likely non-methanogenic acetogenic chemoheterotrophs with potential for lithoautotrophic growth using H2 as an electron donor. They possess pathways for degrading amino acids and other carbon compounds, including the ability to metabolize C1, C3, and C5 compounds, which is uncommon among Asgard archaea. Freyarchaeia, originally described as a separate lineage, shares some metabolic features with Atabeyarchaeia but exhibits distinct characteristics. Both groups are positioned within the Asgard clade, with phylogenetic analyses using multiple marker gene sets (including 47 archaeal clusters of orthologous genes, 15 ribosomal protein genes, and the 16S rRNA gene) consistently placing Atabeyarchaeia as a sister group to Freyarchaeia. Despite sharing only 40-45% average amino acid identity with other Asgard genomes, both lineages are classified within the Asgardarchaeota phylum, adhering to the Genome Taxonomy Database (GTDB) standards. The proposed classification establishes Atabeyarchaeum as the type genus for the family Atabeyarchaeaceae, order Atabeyarchaeales, and class Atabeyarchaeia, while maintaining Freyarchaeia as a distinct lineage within the same phylum. This research highlights the metabolic diversity within the Asgard superphylum and provides insights into the potential roles of these archaea in carbon cycling and their interactions with other microbial communities in various ecosystems.
A Decision Support System for Cost-Effective Operation and Maintenance of PV Plants
Creators: name: Gallmetzer, S.
name: Louwen, A.
name: Ingenhoven, P.
name: Moser, D.
Publisher: name: WIP
Year: 2021
Subjects: PV Systems – Modelling, Design, Operation and Performance
Operation, Performance and Maintenance of PV Systems

description: 38th European Photovoltaic Solar Energy Conference and Exhibition; 1222-1226
description: In this paper we present a decision support system for mitigation of PV plant failures to be used in a platform supporting operation and maintenance (O&M) operators in taking the most cost-effective decision in case of performance loss. Within the Solar Bankability project risk assessment and risk management were studied. Several real maintenance tickets were collected and analyzed for typical failures during the lifetime of PV plants in order to develop a technical risk framework and to determine mitigation measures able to minimize the risk for project investments. Besides preventive and corrective mitigation measures applied before the failure happens or implemented during the operation and maintenance phase, this work introduces also direct mitigation options which can be applied in already running plants. Within PV4.0 the aim is to improve further failure data collection and to develop a fully automated decision support system that calculates the economic impact of failures and suggests a list of possible intervention strategies. The Cost Priority Number (CPN) methodology is in the core center of the PV4.0 tool since it prioritizes O&M interventions according to the economic impact of the technical risks helping so in the decision process.
Assessment of Management Information Systems Availability and Utilization: The Case in Commercial Bank of Ethiopia
Creators: name: Dereje, Hailemichael
Publisher: name: National Academic Digital Repository of Ethiopia
Year: 2019

description: Management Information Systems (MIS) play a key role in determining the degree of success for an organization globally. Currently most commercial banks in Ethiopia (CBE) are not fully utilized MIS to enhance managers, decision effective. This indicates that there are gaps between the current practice for MIS availability and utilization in the banking industry in Ethiopia. Hence, the major objective of this study was assessing the current practice of MIS availability and utilization in CBE. This research was focused to study on decision makers in CBE. The selection was based on their relevancy for MIS and decision making process in the bank using simple random sampling and purposive sampling techniques. In order to meet the general and specific objectives of this study, a descriptive research method was employed. Documents were also analyzed to supplement the quantitative data and for triangulation purpose. Collected data were also analyzed using descriptive and inferential statistics. The major findings indicate that management information systems are currently available and utilized in some aspects significantly and in other aspects insignificant in CBE. The availability and utilization of MIS are moderately enhanced managers' decision making in CBE. Therefore, Commercial Bank of Ethiopia have to give special attentions on the gaps stated in the major findings and avail relevant MIS utilization to support managers' decision-making effective.
Deep Learning Based Image Feature Extraction for Predicting Climate Related Degradation of PV Modules
Creators: name: Neumaier, L.
name: Scherer, J.
name: Schwarzlmüller, C.
name: Kubicek, B.
name: Mödritscher, F.
name: Hirschl, C.
Publisher: name: WIP
Year: 2021
Subjects: PV Systems – Modelling, Design, Operation and Performance
Operation, Performance and Maintenance of PV Systems

description: 38th European Photovoltaic Solar Energy Conference and Exhibition; 1207-1211
description: To avoid long time failures of PV power plants, reliability testing and modeling of novel photovoltaic (PV) material combinations has gained importance within the last years. In this work, conducted within the research project ADVANCE!, we present an image based deep learning approach to extract degradation-relevant information from aged PV modules. The basis of the work is a comprehensive database, established within the project INFINITY, which includes extensive time-resolved measurement and characterization data of aged PV modules, that have been subjected to precisely defined accelerated aging scenarios. Within this work, electroluminescence images serve as input for the development and application of a deep learning approach to extract degradation parameters. For defect classification and localization, we use a Mask R-CNN architecture, which allows instance-level segmentation and classification in parallel. The extracted information can be used for subsequent statistical analysis, where additional information is available, to make predictions about the operational lifetime of a module under different climatic conditions. Although the amount of data is comparatively small and the distribution of the defect classes within the dataset is not uniform, the available results show the potential of our approach.
A Self-Referencing Method for Detecting Underperforming Strings in MWp-PV-Generators
Creators: name: Buerhop-Lutz, C.
name: Pickel, T.
name: Hauch, J.
name: Peters, I.M.
Publisher: name: WIP
Year: 2021
Subjects: PV Systems – Modelling, Design, Operation and Performance
Operation, Performance and Maintenance of PV Systems

description: 38th European Photovoltaic Solar Energy Conference and Exhibition; 1212-1215
description: For optimization of operation and maintenance of PV power stations the knowledge (identification and localization) of poor-performing modules, strings and inverters is important. The developed self-referencing method analyzes monitoring data, with a particular focus on energy yield. First, a well-performing unit is identified, second, the other units are set into relation to the well-preforming unit. Without weather data and prior-knowledge of the PVsystem poor-performing units (strings, inverters) are identified in this fashion. Three case studies are presented. IRimages verified the failure types. Strings suffering from yield loss due to PID or bridged PV-modules where identified and the yield loss quantified. Strings in bottom rows perform less (-2.6%) than those in top rows. The noise is about 4%, which means, failures with power loss less than 4% are masked in the uncertainty level of the monitoring data, e. g. one bypassed substring, hot cells. Yield relevant module failures such as PID, bridged modules, several bypassed substrings, are identified and localized reliably using the self-referencing method.
Statistical Signatures of Structural Organization: The case of long memory in renewal processes
Creators: name: Marzen, Sarah E.
name: Crutchfield, James P.
Publisher: name: arXiv
Year: 2015
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Information Theory (cs.IT)
subject: Dynamical Systems (math.DS)
subject: Statistics Theory (math.ST)
subject: Data Analysis, Statistics and Probability (physics.data-an)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences
subject: FOS: Mathematics

description: Identifying and quantifying memory are often critical steps in developing a mechanistic understanding of stochastic processes. These are particularly challenging and necessary when exploring processes that exhibit long-range correlations. The most common signatures employed rely on second-order temporal statistics and lead, for example, to identifying long memory in processes with power-law autocorrelation function and Hurst exponent greater than $1/2$. However, most stochastic processes hide their memory in higher-order temporal correlations. Information measures---specifically, divergences in the mutual information between a process' past and future (excess entropy) and minimal predictive memory stored in a process' causal states (statistical complexity)---provide a different way to identify long memory in processes with higher-order temporal correlations. However, there are no ergodic stationary processes with infinite excess entropy for which information measures have been compared to autocorrelation functions and Hurst exponents. Here, we show that fractal renewal processes---those with interevent distribution tails $\propto t^{-α}$---exhibit long memory via a phase transition at $α= 1$. Excess entropy diverges only there and statistical complexity diverges there and for all $α< 1$. When these processes do have power-law autocorrelation function and Hurst exponent greater than $1/2$, they do not have divergent excess entropy. This analysis breaks the intuitive association between these different quantifications of memory. We hope that the methods used here, based on causal states, provide some guide as to how to construct and analyze other long memory processes.
description: 13 pages, 2 figures, 3 appendixes; http://csc.ucdavis.edu/~cmg/compmech/pubs/lrmrp.htm
Patient-reported symptoms are a more reliable predictor of the societal burden compared to established physician-reported activity indices in inflammatory bowel disease: a cross-sectional study
Creators: name: Decker, Barbora
name: Tuzil, Jan
name: Lukas, Milan
name: Cerna, Karin
name: Bortlik, Martin
name: Velackova, Barbora
name: Pilnackova, Barbora
name: Dolezal, Tomas
Publisher: name: Taylor & Francis
Year: 2022
Subjects: subject: Medicine
subject: Sociology
subject: FOS: Sociology
subject: Immunology
subject: FOS: Clinical medicine
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: Science Policy

description: The societal burden of inflammatory bowel diseases (IBD) is not well documented, and further studies are needed to quantify the costs of the disease state. Thus, the aim was to estimate the societal burden and identify its predictors. A cross-sectional questionnaire-based study complemented by objective data from patient medical records was performed for patients with Crohn’s disease (CD) and ulcerative colitis (UC). We analyzed data from 161 patients (CD: 102, UC: 59). The overall work impairment reached 15.4%, 11.2% vs. 28.8% without/with self-reported symptoms (p = 0.006). Daily activity impairment was 19.3%, 14.1% vs. 35.6% (p < 0.001). The disability pension rate was 28%, 23% vs. 44% (p = 0.012). The total productivity loss due to absenteeism, presenteeism, and disability amounted to 7,673 €/patient/year, 6,018 vs. 12,354 €/patient/year (p = 0.000). Out-of-pocket costs amounted to 562 €/patient/year, 472 vs. 844 €/patient/year (p = 0.001). Self-reported symptoms were the strongest predictor of costs (p < 0.001). We found a high societal burden for IBD and a significant association between patient-reported disease symptoms and work disability, daily activity impairment, disability pensions, and out-of-pocket costs. Physician-reported disease activity is not a reliable predictor of costs except for out-of-pocket expenses.
Probing the Expansion history of the Universe by Model-Independent Reconstruction from Supernovae and Gamma-Ray Bursts Measurements
Creators: name: Feng, Chao-Jun
name: Li, Xin-Zhou
Publisher: name: arXiv
Year: 2016
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: To probe the late evolution history of the Universe, we adopt two kinds of optimal basis systems. One of them is constructed by performing the principle component analysis (PCA) and the other is build by taking the multidimensional scaling (MDS) approach. Cosmological observables such as the luminosity distance can be decomposed into these basis systems. These basis are optimized for different kinds of cosmological models that based on different physical assumptions, even for a mixture model of them. Therefore, the so-called feature space that projected from the basis systems is cosmological model independent, and it provide a parameterization for studying and reconstructing the Hubble expansion rate from the supernova luminosity distance and even gamma-ray bursts (GRBs) data with self-calibration. The circular problem when using GRBs as cosmological candles is naturally eliminated in this procedure. By using the Levenberg-Marquardt (LM) technique and the Markov Chain Monte Carlo (MCMC) method, we perform an observational constraint on this kind of parameterization. The data we used include the "joint light-curve analysis" (JLA) data set that consists of $740$ Type Ia supernovae (SNIa) as well as $109$ long gamma-ray bursts with the well-known Amati relation.
description: 10 pages, 10 figures
Clouds Characterization and Simulation to Evaluate the Effect in the Stability of Photovoltaic Irrigation Systems
Creators: name: Guillén-Arenas, F.J.
name: Narvarte Fernández, L.
name: Fernandez-Ramos, J.
Publisher: name: WIP
Year: 2021
Subjects: PV Systems – Modelling, Design, Operation and Performance
Operation, Performance and Maintenance of PV Systems

description: 38th European Photovoltaic Solar Energy Conference and Exhibition; 1202-1206
description: One of the greatest challenges in stand-alone photovoltaic irrigation systems (PVIS) without batteries is the tuning of PID controller. Once the system is tuned, it is necessary to evaluate its performance in the most unfavorable circumstances, which occur when the passage of a cloud causes a sudden drop in available power. But there are several kinds of clouds with different effects on the system operation. In this paper, the impact of a considerable number of clouds on the operation of a carefully tuned system has been analyzed. The clouds have been characterized based on the decrease in irradiance, the duration and the slope, and its influence on the voltage of the PV generator has been analyzed. Subsequently, a method has been proposed to simulate the response of the system to the passage of clouds. This method can be applied on clear days, under conditions of constant irradiance, which greatly simplifies its implementation. This also greatly reduces the time required for commissioning the system. The proposed method consists of applying a signal to the "feedforwdard" input of the PID controller that is proportional to the irradiance profile of the cloud to be simulated. Results show that the performance of the system, characterized by the voltage of the PV generator, with simulated clouds is similar to the performance with real clouds.
Impact of Dust on PV Performance in Nigeria
Creators: name: N. Chanchangi, Y.
name: Ghosh, A.
name: Mallick, T.K.
name: Sundaram, S.
Publisher: name: WIP
Year: 2021
Subjects: PV Systems – Modelling, Design, Operation and Performance
Operation, Performance and Maintenance of PV Systems

description: 38th European Photovoltaic Solar Energy Conference and Exhibition; 1196-1201
description: This study investigates the impact of dust on polycrystalline silicon module's performance, and a 1MW solar farm developed using the same type of PV device in a city categorised as one of the most polluted cities in the region. The PV module's optimal performance was characterised using PASAN Solar Simulator prior to ambient exposure. A PV200 and survey 200R were employed for weekly performance measurement for seventeen months (date- date), and device performance was examined from sunrise to sunset at the end of the exposure. Transmission optical losses were determined to relate and validate losses by exposing low iron glass coupons considering monthly, seasonal, annual variation. The effectiveness of the employed brush cleaning mitigation approaches in the solar farm was examined against self–cleaning another approach. The findings reveal 65% Isc and 66% Impp decrement due to soiling on the modules. The outcome shows a 70.2% yield loss and a 71% efficiency drop. A wide variation of performance losses was recorded between different months and seasons in 2021, and the dry season presented the most alarming rates. The most significant power output loss recorded on the 1 MW installation was as high as 88%. The finding shows self-cleaning provided required preventive and restorative mitigation but appears to be very expensive. Although the employed brush cleaning mitigation in the studied region does not provide the required effectiveness, its less expensive property made it suitable to be applied.
An anomaly in space and time and the origin of dynamics
Creators: name: Vaccaro, Joan A.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Quantum Physics (quant-ph)
subject: History and Philosophy of Physics (physics.hist-ph)
subject: FOS: Physical sciences

description: The Hamiltonian defines the dynamical properties of the universe. Evidence from particle physics shows that there is a different version of the Hamiltonian for each direction of time. As there is no physical basis for the universe to be asymmetric in time, both versions must operate equally. However, conventional physical theories accommodate only one version of the Hamiltonian and one direction of time. This represents an unexplained anomaly in conventional physics and calls for a reworking of the concepts of time and space. Here I explain how the anomaly can be resolved by allowing dynamics to emerge phenomenologically. The resolution offers a picture of time and space that lies below our everyday experience, and one in which their differences are epiphenomenal rather than elemental.
description: 17 pages, 3 figures, 1 equation. Invited essay for volume on "Space, Time, and Frontiers of Human Understanding"
Temperature Coefficients of Photovoltaic Modules under Partial Shading Conditions
Creators: name: Segbefia, O.K.
name: Paudyal, B.R.
name: Burud, I.
name: Saetre, T.O.
Publisher: name: WIP
Year: 2021
Subjects: PV Systems – Modelling, Design, Operation and Performance
Operation, Performance and Maintenance of PV Systems

description: 38th European Photovoltaic Solar Energy Conference and Exhibition; 1180-1186
description: Partial shading of photovoltaic (PV) modules leads to mismatch losses which cause local hotspots. Hotspots can lead to various failure mechanisms, hence, power degradation in PV plants. This work investigates the temperature sensitivity of field-aged multicrystalline silicon PV modules under uniform partial shading conditions. Thermal images suggest that hotspots are localized to busbars at the shaded area. The results estimate that, the temperature coefficient of Vmpp (Vmp) of the field-aged PV modules under STC ranges from -0.41 %/ to -0.48 %/. However, under partial shading conditions, the absolute variation in the Vmp is >2.00 %/ for the 3 field-aged PV modules studied. The results for the temperature coefficient of Impp (Jmp) ranges from ca. -0.08 %/ to 0.01 %/ and ca. -1.00 %/ to -0.90 %/ under non-shading and partial shading conditions, respectively. However, the severity of the temperature sensitivity under partial shading conditions also depends on the degradation state of the PV modules.
Performance Analysis of PV Modules Installed in the Alpine Region
Creators: name: Carigiet, F.
name: Grunauer, D.
name: Baumgartner, F.P.
Publisher: name: WIP
Year: 2021
Subjects: PV Systems – Modelling, Design, Operation and Performance
Operation, Performance and Maintenance of PV Systems

description: 38th European Photovoltaic Solar Energy Conference and Exhibition; 1187-1192
description: Several mono- and bifacial mc-Si PV modules were installed at a location 2500 m above sea level in the Alps and grouped in six segments with different inclinations 30°, 70° and 90°. The PV modules and the meteorological conditions are monitored minutely and compared to a 30° tilted PV module installed in the urban region of Zurich. During the analysis period between October 2018 and September 2020, the yield loss due to snow coverage was minimal. The highest loss was 2.3 % (2018/19) and 3.6 % (2019/20) for the 30° inclined PV modules evaluated by the introduced snow coverage model based on electrical and weather data. The two segments with a 30° inclination showed a 20.9 % to 27.2 % higher yield than the PV module installed in the urban region, mostly produced in the winter season. The bifacial alpine energy yield is about twice as high as that of the urban PV module from November to May. The highest yields of 1800 Wh/Wp in 2018/19 and 1696 Wh/Wp in 2019/20 was measured at the 70° tilted bifacial PV module without losses due to row shading as it is expected in PV plants.
PV Plant Monitoring Needs Both – Data Analysis and On-Site Inspection
Creators: name: Mühleisen, W.
name: Neumaier, L.
name: Kosel, J.
name: Hirschl, C.
name: Rattenberger, R.
name: Prasser, P.
Publisher: name: WIP
Year: 2021
Subjects: PV Systems – Modelling, Design, Operation and Performance
Operation, Performance and Maintenance of PV Systems

description: 38th European Photovoltaic Solar Energy Conference and Exhibition; 1193-1195
description: Photovoltaic systems can be controlled with several approaches. By means of monitoring or with sample measurements on site. On a 9-year-old photovoltaic system with 970 kWp in the south of Austria, both approaches were pursued to investigate whether a cost-effective monitoring analysis alone is sufficient. The identification and partial repair of several superimposed failure cases such as shading, dirt, glass breakage and backsheet cracks ultimately showed that a data analysis with a determined performance ratio alone is not sufficient to draw complete conclusions about PV system and energy yield.
Parsimonious Tensor Dimension Reduction
Creators: name: Xing, Xin
name: Zeng, Peng
name: Ye, Youhui
name: Zhong, Wenxuan
Publisher: name: Taylor & Francis
Year: 2024
Subjects: subject: Biological Sciences not elsewhere classified
subject: Information Systems not elsewhere classified
subject: Mathematical Sciences not elsewhere classified
subject: Cancer
subject: Science Policy
subject: Infectious Diseases
subject: FOS: Health sciences

description: Tensor data is emerging in many scientific applications, such as multi-tissue transcriptomics. In such cases, the covariates for each individual are no longer a vector. To apply traditional vector-based methods to this type of data, we need to either do the vectorization or analyze data marginally, which suffers a significant information loss. We propose a novel parsimonious tensor dimension reduction (pTDR) approach to directly link the response and tensor covariate through an unknown function g. In pTDR, the response variable, continuous or discrete, depends on K rank-one projections of the covariates, with the projections estimated via a sequential iterative dimension reduction algorithm. We further propose an asymptotic sequential statistical test to select the correct number of rank-one tensors. In contrast to the classic low-rank tensor regression, pTDR model is not restricted to the linear relationship between response and covariates. We apply pTDR to two modern genomic studies. We find that the gene expression of multiple tissues has a stronger association with aging and obesity than was apparent using previous approaches. Numerical results demonstrate the advantages of pTDR over competitors in terms of prediction accuracy and computing efficiency. Our software is publicly available on GitHub (https://github.com/BioAlgs/pTDR).
The effect of medical cannabis in inflammatory bowel disease: analysis from the UK Medical Cannabis Registry
Creators: name: Dalavaye, Nishaanth
name: Erridge, Simon
name: Nicholas, Martha
name: Pillai, Manaswini
name: Bapir, Lara
name: Holvey, Carl
name: Coomber, Ross
name: Rucker, James J
name: Hoare, Jonathan
name: Sodergren, Mikael H
Publisher: name: Taylor & Francis
Year: 2022
Subjects: subject: Medicine
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Pharmacology
subject: Biotechnology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Immunology
subject: FOS: Clinical medicine
subject: Science Policy
subject: 111714 Mental Health
subject: FOS: Health sciences

description: Cannabis-based medicinal products (CBMPs) have shown promising preclinical activity in inflammatory bowel disease. However, clinical trials have not demonstrated significant effects on active inflammation. This study aims to analyze changes in health-related quality of life (HRQoL) and adverse events in IBD patients prescribed CBMPs. A case series from the UK Medical Cannabis Registry was performed. Primary outcomes included changes from baseline in the Short Inflammatory Bowel Disease Questionnaire (SIBDQ), Generalized Anxiety Disorder-7 (GAD-7), Single-Item Sleep Quality Scale (SQS), and EQ-5D-5L Index score at 1 and 3 months. Statistical significance was defined using p<0.050. Secondary outcomes included incidence of adverse events. Seventy-six patients with Crohn’s disease (n=51; 67.11%) and ulcerative colitis (n=25; 32.89%) were included. The median baseline SIBDQ score improved at 1 and 3 months. EQ-5D-5L index values, GAD-7 and SQS also improved after 3 months (p<0.050). Sixteen (21.05%) patients reported adverse events with the majority being classified as mild to moderate in severity. No life-threatening AEs were reported. Patients treated with CBMPs for refractory symptoms of Crohn’s disease and ulcerative colitis demonstrated a short-term improvement in IBD-specific and general HRQoL. Prior cannabis consumers reported greater improvement compared to cannabis-naïve individuals.
Evaluating cottonwood seeds as a low-cost biosorbent for crystal violet removal from aqueous matrics
Creators: name: Asghari, Effat
name: Saraji, Mohammad
Publisher: name: Taylor & Francis
Year: 2022
Subjects: subject: Biotechnology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Ecology
subject: FOS: Biological sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: Inorganic Chemistry
subject: Plant Biology

description: In this study, cottonwood seeds (CWS) were introduced as a novel, green, and low-cost biosorbents for the removal of crystal violet (CV) dye from aqueous solutions. To illustrate the characteristics of CWS, surface morphology, Fourier-transform infrared spectroscopy, field emission scanning electron microscopes, and energy dispersive X-ray spectroscopy techniques were employed. Important adsorption variables (i.e., equilibrium time, solution pH, CWS amount, CV concentration, and temperature) were systematically studied. Maximum CV dye adsorption was observed at pH 10 using 20 mg of the adsorbent. Different adsorption isotherms were investigated, and the results were more accurately consistent with the Langmuir model (R2 = 0.992). The maximum capacity of adsorption was 153.85 mg g−1 at 60 min. The kinetic data were examined by different models and a pseudo-second-order model supplied the best correlation between experimental data. Investigated thermodynamic parameters at different temperatures illustrated that the CV adsorption procedure was spontaneous and endothermic with an increase in entropy. The percentage removal and the relative standard deviations for the real sample analysis were in the range of 89–98% and 4.9–9.5%, respectively. High adsorption capacity and low equilibrium time demonstrated that CWS is an impressive biosorbent for dye pollutants uptakes from aqueous solutions and real industrial wastewater samples. A novel, green, available, and low-cost cottonwood seeds were introduced for the removal of crystal violet from aqueous media. In terms of adsorption capacity and contact time, cottonwood seeds show excellent performance compared to the other low-cost biosorbents previously reported for the adsorption of the organic dye from wastewater. The use of cottonwood seeds to remove environmental pollutants has not been introduced yet.
Anomalous Hall effect in the noncollinear antiferromagnet Mn5Si3
Creators: name: Sürgers, C.
name: Kittler, W.
name: Wolf, T.
name: Loehneysen, H. v.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: Metallic antiferromagnets with noncollinear orientation of magnetic moments provide a playground for investigating spin-dependent transport properties by analysis of the anomalous Hall effect. The intermetallic compound Mn5Si3 is an intinerant antiferromagnet with collinear and noncollinear magnetic structures due to Mn atoms on two inequivalent lattice sites. Here, magnetotransport measurements on polycrystalline thin films and a single crystal are reported. In all samples, an additional contribution to the anomalous Hall effect attributed to the noncollinear arrangment of magnetic moments is observed. Furthermore, an additional magnetic phase between the noncollinear and collinear regimes above a metamagnetic transition is resolved in the single crystal by the anomalous Hall effect.
description: 7 pages, 4 figures
The Effect of Organizational Culture on Employee Commitment (The Case of Commercial Bank of Ethiopia)
Creators: name: Abraham, Warga
Publisher: name: National Academic Digital Repository of Ethiopia
Year: 2019

description: The study has sought the effects of organizational culture on employees' commitment in Commercial Bank of Ethiopia. The specific objectives of the study were; to determine the relationship between involvement culture, consistency culture, adaptability culture and the relationship between mission culture and employees commitment in commercial bank of Ethiopia. The study used quantitative research method and explanatory research design to objectively answer the proposed research questions. Cluster sampling technique was used to select the four districts from the total of 15 districts and also proportionate stratified sampling technique was adopted to treat the 368 participants; and out of those, 350 has responded. Descriptive analysis, factor analysis, Pearson correlation, analysis of variance (ANOVA) and regression were carried out to analyze the data using SPSS 20. Regression analysis was used to assess the effects of organizational culture on the employees' commitment. The study shows that there is positive relationship between organizational culture and employees' commitment. Based on the findings, the study recommends that CBE should empower employees and reinforce team orientations, embrace integration, coordination, organizational learning, agreement and core values and they should create competence development to promote employees commitment.
Alpert multiwavelets and Legendre-Angelesco multiple orthogonal polynomials
Creators: name: Geronimo, Jeffrey S.
name: Iliev, Plamen
name: Van Assche, Walter
Publisher: name: arXiv
Year: 2016
Subjects: subject: Classical Analysis and ODEs (math.CA)
subject: FOS: Mathematics

description: We show that the multiwavelets, introduced by Alpert in 1993, are related to type I Legendre-Angelesco multiple orthogonal polynomials. We give explicit formulas for these Legendre-Angelesco polynomials and for the Alpert multiwavelets. The multiresolution analysis can be done entirely using Legendre polynomials, and we give an algorithm, using Cholesky factorization, to compute the multiwavelets and a method, using the Jacobi matrix for Legendre polynomials, to compute the matrices in the scaling relation for any size of the multiplicity of the multiwavelets.
description: 19 pages + 7 pages supplementary materials
Continuous functions with complicated local structure that defined in terms of alternating Cantor series representation of numbers
Creators: name: Serbenyuk, Symon
Publisher: name: arXiv
Year: 2016
Subjects: subject: Classical Analysis and ODEs (math.CA)
subject: FOS: Mathematics

description: The article is devoted to one infinite parametric class of continuous functions with complicated local structure. In the article differential, integral, self-affine and other properties of functions, that their argument is represented by the alternating Cantor series are investigated. The functional equations systems, that investigating functions are unique solution of these systems in the class of determined and bounded on $[0;1]$ functions are indicated. The investigation was represented in seminar on fractal analysis of Institute of Mathematics of the National Academy of Sciences of Ukraine on, October 16, 2014 (http://www.imath.kiev.ua/events/index.php?seminarId=21&archiv=1). The following investigations in the list of references in the article one can to find by the corresponding links: [6] (http://fmi.npu.edu.ua/images/files/publications/naukchasopys1/NZ2013_15.pdf ) [7] (http://fmi.npu.edu.ua/images/files/publications/naukchasopys1/NZ2013_14.pdf) [8] (http://fmi.npu.edu.ua/images/files/publications/naukchasopys1/NZ2012_13_2.pdf) [9](http://www.ekmair.ukma.edu.ua/bitstream/handle/123456789/7409/Serbeniuk_Funktsii_oznacheni_systemamy.pdf)
description: in Ukrainian
Day-Ahead PV Generation Forecasting Based on Deep Learning Approach
Creators: name: Kothona, D.
name: Zamanidou, A.
name: Panapakidis, I.P.
name: Christoforidis, G.C.
Publisher: name: WIP
Year: 2021
Subjects: PV Systems – Modelling, Design, Operation and Performance
Solar Resource and Forecasting

description: 38th European Photovoltaic Solar Energy Conference and Exhibition; 1170-1175
description: The development of robust photovoltaic (PV) power forecasting models is essential for the secure and economic integration of PV power into the intra-day and day-ahead energy markets. Since the day-ahead solar power forecasting is a more challenging procedure, at the present paper we employ a Deep Learning approach and specifically the Long-Short Term Memory (LSTM) model, due to its ability to capture long-term dependencies between the timeseries. The performance of the model is examined based on a selection of different inputs: a) historical data, b) weather predictions and c) historical data alongside with weather predictions. The results point out that the utilization of meteorological forecasts can increase the forecasting accuracy of the model from 5.3% to 29%.
Using On-Site Measurement Data and Laboratory Test Data of PV Modules for Evaluating the Performance Degradation
Creators: name: Chen, M.-W.
name: Lin, C.-H.
name: Chen, C.-I.
Publisher: name: WIP
Year: 2021
Subjects: PV Systems – Modelling, Design, Operation and Performance
Operation, Performance and Maintenance of PV Systems

description: 38th European Photovoltaic Solar Energy Conference and Exhibition; 1176-1179
description: Photovoltaic (PV) modules are exposed to a variety of climatic loads during outdoor operation. As time goes by, these lead a number of electric output power performance loss. Many researches show that the module degradation has been evaluated with the test result in laboratory. However, it will inevitably lead to damage for the module during transportation or disassembling/installation. In order to reduce the risk, we compared the electric characteristic of PV system from on-site measurement data and laboratory test data. Then, the related trend and correlation of performance degradation has been analyzed. Applying the result of on-site measurement data we can reduce the relevant risk for testing in laboratory. The I-V curve characteristics from on-site measurement data of more than three years have been collected and corrected to standard test condition (STC) according to IEC 60891 for analyzing their performance degradation of various type modules. The impacting factors for the performance degradation of various type modules have been also researched and the result can help the manufacturers improve their product designs and quality controls. For enhancing the analysis accuracy, before correcting the characteristic we filtered the error information by irradiance and measurement time, and also utilized the density based clustering algorithm (DBSCAN) to robust the correctness. Besides, for verifying the modules damage condition, the I-V curve and electroluminescence (EL) have been checked in the laboratory. The results show that the maximum output power of some modules is reduced in range from 0.7%/year to 2.9%/year. The year average output power of module for on-site measurement is different from the test result in the laboratory about 5~20W under STC. However, through our statistical analysis and appropriate correcting, the attenuation trend of the on-site measurement and laboratory test data is nearly similar. Following the trend, we can evaluate the performance degradation form on-site measurement data, and reduce the risk for testing in the laboratory for specific climate conditions. And the electric output of the PV field can be estimated in the meanwhile and also applied for the power prediction for following years. This paper can be a reference guideline for the industry to improve products, which helps to evaluate the performance degradation of module products and upgrade their product quality.
Anisotropy, band-to-band transitions, phonon modes, and oxidation properties of cobalt-oxide core-shell slanted columnar thin films
Creators: name: Mock, Alyssa
name: Korlacki, Rafal
name: Briley, Chad
name: Sekora, Derek
name: Hofmann, Tino
name: Wilson, Peter
name: Sinitskii, Alexander
name: Schubert, Eva
name: Schubert, Mathias
Publisher: name: arXiv
Year: 2015
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: Highly-ordered and spatially-coherent cobalt slanted columnar thin films were deposited by glancing angle deposition onto silicon substrates, and subsequently oxidized by annealing at 475 $^{\circ}$C. Scanning electron microscopy, Raman scattering, generalized ellipsometry, and density functional theory investigations reveal shape-invariant transformation of the slanted nanocolumns from metallic to transparent metal-oxide core-shell structures with properties characteristic of spinel cobalt oxide. We find passivation of Co-SCTFs yielding CoAl$_2$O$_3$ core-shell structures produced by conformal deposition of a few nanometers of alumina using atomic layer deposition fully prevents cobalt oxidation in ambient and from annealing up to 475 $^{\circ}$C.
description: 5 pages, 5 figures, 2 tables