Miracle-dz/UniFAR-FTUs huggingface dataset:
PLS MODELLING OF FACTORS AFFECTING THE COOPERATION BETWEEN SALES AND MARKETING IN PHARMACEUTICAL AND NON-PHARMACEUTICAL MANUFACTURING FIRMS MODELIRANJE ČIMBENIKA KOJI UTJEČU NA SURADNJU IZMEĐU PRODAJE I MARKETINGA U FARMACEUTSKIM I NEFARMACEUTSKIM PROIZVODNIM PODUZEĆIMA PRIMJENOM PLS METODE PARCI

Purpose – This paper aims to explore the manner in which cooperation between sales and marketing in pharmaceutical manufacturing companies (PMC) (n=16) and non-pharmaceutical manufacturing companies (NPMC) (n=31) is aff ected by selected indicators. It also attempts to demonstrate how the Partial Least Square (PLS) path modelling technique can reveal latent mechanisms in the interplay of the examined factors aff ecting SM cooperation. Design/methodology/approach – Data collection was carried out in the form of an online questionnaire. The rating scale data gathered was analyzed using PLS path modelling. Sažetak Svrha – Cilj je rada istražiti kako odabrani indikatori utječu na suradnju između prodaje i marketinga u farmaceutskim (n=16) i nefarmaceutskim proizvodnim poduzećima (n=31). Isto tako, rad pokušava pokazati kako PLS metoda parcijalnih najmanjih kvadrata, kao tehnika modeliranja staza, može otkriti latentne mehanizme u međusobnom djelovanju istraživanih faktora koji utječu na suradnju između prodaje i marketinga. Metodološki pristup – Podaci su prikupljeni korištenjem online anketnog upitnika s mjernim ljestvicama. Analizirani su primjenom PLS metode parcijalnih najmanjih kvadrata. Market-Tržište Vol. 31, No. 2, 2019, pp. 227-247 UDK 658.8:661 DOI http://dx.doi. org/10.22598/mt/2019.31. 2.227 Preliminary communication Gabor Hetenyi, Magdolna Szilasi, Attila Lengyel 228 Vo l. 31 , N o. 2 , 2 01 9, p p. 2 27 -2 47 Findings – Management culture (information exchange, coordination, vision, and communication) as the superblock of the model accounts for a high variance in SM cooperation in both PMCs (R2=0.619) and NPMCs (R2=0.741). Out of the three variables determining management culture, in PMCs it is coordination (R2%=44), while in NPMCs it is information exchange (R2%=57) that accounts for most of the variance. The results clearly demonstrate that there are factors aff ecting SM cooperation that work diff erently in PMCs and NPMCs. Limitations – As the analysis in this research study was based on a convenience sample, its result should be interpreted with caution and cannot be generalized. Originality/value – This is the fi rst time that the SM interface mechanisms were compared in PMCs and NPMCs using PLS path modelling. PLS revealed latent relationships and mechanisms that play an important role in optimising SM cooperation.
Hybrid Energy Management System for Operation of Wind Farm System Considering Grid-Code Constraints

In this paper, a hybrid energy management system is developed to optimize the operation of a wind farm (WF) by combining centralized and decentralized approaches. A two-stage optimization strategy, including distributed information sharing (stage 1); and centralized optimization (stage 2) is proposed to find out the optimal set-points of wind turbine generators (WTGs) considering grid-code constraints. In stage 1, cluster energy management systems (CEMSs) and transmission system operator (TSO) interact with their neighboring agents to share information using diffusion strategy and then determine the mismatch power amount between the current output power of WF and the required power from TSO. This amount of mismatch power is optimally allocated to all clusters through the CEMSs. In stage 2, a mixed-integer linear programming (MILP)-based optimization model is developed for each CEMS to find out the optimal set-points of WTGs in the corresponding cluster. The CEMSs are responsible for ensuring the operation of WF in accordance with the requirements of TSO (i.e., grid-code constraints) and also minimizing the power deviation for the set-points of WTGs in each cluster. The minimization of power deviation helps to reduce the internal power fluctuations inside each cluster. Finally, to evaluate the effectiveness of the proposed method, several case studies are analyzed in the simulations section for operation of a WF with 20 WTGs in four different clusters.
Evaluation of Climate Forecast System Reanalysis and local weather station data as input for run-of-river hydropower assessment in Agusan River Basin, Philippines

Stream flow discharge determination is essential for the assessment of hydropower potential. However, obtaining representative meteorological data which is a key input parameter in hydrological modelling in the actual watershed of focus is oftentimes difficult. In this study, the stream flows for the Agusan River Basin were simulated to assess its hydropower potential. The river basin, located in Southern Philippines, has an area of about 11,700 km but has no weather stations within its boundaries. Weather data from Climate Forecast System Reanalysis (CFSR) and local weather stations near the study area were used as input for the Soil and Water Assessment Tool (SWAT) to model the watershed runoff. The hydrologic modelling was conducted for the years 2000 – 2015. The potential power of streams were calculated using the resulting flows from the simulation, and the hydraulic head determined using a developed digital elevation model (DEM) based algorithm. A total of 1876 sites on 69 sub-watersheds were identified as potential location for run-of-river hydropower generation in the studied river basin using the model outputs. Power potential for each sites ranges from 100.1 kW to 18.16 MW (average: 3.69 MW) for simulations using CFSR data and 533.3 kW to 2.376 MW (average: 2.45 MW) for simulations using the local weather station data. Initial analysis shows that using CFSR data will yield higher values for the simulated stream flows as compared to the values obtained using local weather station data. Therefore, for watersheds without observed weather data, using measurements from local station near the study will give more conservative values for hydropower assessment. Keywords— hydropower assessment, hydrological modelling, weather data, Climate Forecast System Reanalysis, Soil and Water Assessment Tool
Improving Performance of a Trading System through Lock-Free Programming

Concurrent programming is a form of computing, where several computations are executed in overlapping time periods. This can improve a system’s capability of handling growing amounts of work and execute faster on multicore processors. Lock is a usual tool used to ensure shared data is handled correctly. However, using locks could also have some performance disadvantages caused by its overhead and waiting time during high contention. The company FIS believes a lock-free implementation using atomic operations could improve ability to handle growing amount of work and speed of a component in their trading system. Hence, the aim of this study is to provide insight of how impactful lock-free programming could be. This was achieved by developing a new version of the component and comparing its performance with the original lock-based implementation. The new implementation was developed by eliminating locks in the component and replacing them with lockfree data structures. However, a lock was still needed in one of the data structures, making the new implementation only partially lock-free. Results from tests performed directly on the component showed that the partially lockfree version performed better in some areas and worse in other. Furthermore, the partially lock-free implementation performed better in isolated tests which were used to measure parts of the component where direct tests could not be performed. This gives a sign of that a general performance improvement was achieved by using lock-free programming in the provided component.
The metabolism of oleic, linoleic and linolenic acids by sheep with reference to their effects on methane production

I . Nine experiments, each with one of six sheep with cannulated rumens given a constant diet of dried grass, were made in which oleic, linoleic or linolenic acid was infused into the rumen and energy and lipid metabolism were measured. One experiment was made in which palmitic acid was given. 2. Judged by changes in the composition of isolated fatty acids, the unsaturated fatty acids were hydrogenated in the rumen. An increase in the excretion of lipid in the faeces occurred when the unsaturated acids were given. The heat of combustion of the faeces increased by 12.6 3.0 kcal/Ioo kcal fatty acid, of which 94 yo was accounted for by the additional lipid. 3. Methane production fell when the unsaturated fatty acids were infused, the decreases being 13.8 k 1.6 kcal CH,/IOO kcal oleic acid, 142 f 1-5 kcal CH,/IOO kcal linoIeic acid and 16.4+ 1.3 kcal CH,/IOO kcal Iinolenic acid. The introduction of a double bond into an n-alkyl acid was calculated to reduce methane production by 0.24 f 0.09 moles/ mole double bond. 4. Because the depression of methane production on infusing the fatty acids exceeded the increase in the heat of combustion of the faeces, the metabolizable energy of the fatty acids was 104.1 k5.3 % of their heat of combustion. 5. The efficiencies with which the fatty acids were used to promote energy retention were 74.6 5 7 % for oleic acid, 79.2 f 2.0 % for linoleic acid and 82.5 f 3.0 yo for linolenic acid. These efficiencies agreed with those noted in experiments by others with rats, horses and pigs given glycerides, but were higher than those noted by others when glycerides were added to the diets of ruminants.
A Review on Edge Computing in Smart Energy by means of a Systematic Mapping Study

Context: Smart Energy is a disruptive concept that has led to the emergence of new energy policies, technology projects, and business models. The development of those models is driven by world capitals, companies, and universities. Their purpose is to make the electric power system more efficient through distributed energy generation/storage, smart meter installation, or reduction of consumption/implementation costs. This work approaches Smart Energy as a paradigm that is concerned with systemic strategies involving the implementation of innovative technological developments in energy systems. However, many of the challenges encountered under this paradigm are yet to be overcome, such as the effective integration of solutions within Smart Energy systems. Edge Computing is included in this new technology group. Objective: To investigate developments that involve the use of Edge Computing and that provide solutions to Smart Energy problems. The research work will be developed using the methodology of systematic mapping of literature, following the guidelines established by Kitchenham and Petersen that facilitate the identification of studies published on the subject. Results: Inclusion and exclusion criteria have been applied to identify the relevant articles. We selected 80 papers that were classified according to the type of publication (journal, conferences, or book chapter), type of research (conceptual, experience, or validation), type of activity (implement, validate, analyze) and asset (architecture, framework, method, or models). Conclusion: A complete review has been conducted of the 80 articles that were closely related to the questions posed in this research. To reach the goal of building Edge Computing architectures for Smart Energy environments, several lines of research have been defined. In the future, such architectures will overcome current problems, becoming highly energy-efficient, cost-effective, and capacitated to process and respond in real-time.
Pomenis: A small portable astrograph for SSA

The Steward Observatory SSA team developed the Pomenis Astrograph System as an alternative to more traditional narrow field of view small SSA systems. The astrograph is innovative with its fast optical design versus a traditional longer focal length found on commercial Cassegrain telescope that most “Raven class” systems are based on. Compared with other systems used for SSA, the Pomenis astrograph has an exceptionally wide 4.2°4.2° field of view and a fast readout CCD camera. These features enable synoptic survey of the deep space satellite population several times per night. The aperture and focal length were carefully selected to achieve sensitivity relevant to synoptic GEO SSA with an integration time short enough to allow high precision astrometric reference using the streaked background stars. With its 7-color filter wheel, Pomenis also performs multi-color photometric screening of deep space satellites looking for anomalous behavior and can identify objects for higher fidelity measurements and study. Pomenis is housed in a unique trailer mounted enclosure, which enables the system to be deployed with minimal infrastructure, operated remotely and autonomously, and quickly relocated as required. In addition to the SSA measurements described above, the astrograph is taking full-hemisphere night sky brightness (NSB) measurements in multiple color bands. These measurements will be compared to previously conducted each decade on Mt. Hopkins and Kitt Peak to study the increase in light pollution in southern Arizona. Pomenis will allow these measurements to be made on a more routine basis, and over a tighter spatial grid. This will facilitate our monitoring of the light pollution environment at the University’s observatory sites and assess the impact of future development on the quality of the night sky. Additionally, Pomenis will be used for serendipitous astronomical surveys and to develop new techniques for precise photometric reduction over a wide field of view and high air mass.
ROBUSTNESS IN NETWORK FORMATION GAMES

I propose a notion of equilibrium robustness, and characterize the robustness of Nash equilibria in a class of well-studied network formation games that suffers from multiplicity of equilibria. A Nash equilibrium is k -robust if k is the smallest integer such that the Nash equilibrium network can be perturbed by adding some k number of links. I show that this notion of robustness is analytically tractable – exact characterization and bounds for the robustness values are obtained. For instance, all acyclic Nash, with the exception of the periphery-sponsored star, are 1-robust, and are particularly fragile. Moreover among all Nash equilibria, cyclic or acyclic, the periphery-sponsored star has the highest robustness value. I also show and quantify that this most robust equilibrium is at least twice as robust as the next most robust equilibrium, asymptotically in large networks. The result holds true non-parametrically for the class of all convex beneﬁt functions.
Seismic interferometry versus spatial auto-correlation method on the regional coda of the NPE

A seismic recording of the non-proliferation experiment (NPE) contains the first break of the regional P phases followed by a three minute long coda. The frequency-domain result of seismic interferometry is studied. This procedure is analogous to the spatial auto-correlation (SPAC) method, devised for studying microtremors by Aki (1957). Cross-correlating two receiver stations retrieves, under favorable circumstances, an approximation of the Green’s function between these two stations. To first order, this Green’s function consists of a direct event traveling between the receivers. In the frequency-domain, the lowest mode in the Green’s function is a weighted and scaled zero-order Bessel function of the first kind, J0. The cross-spectrum from the coda of the NPE is estimated using multitaper spectral analysis. The retrieved Green’s functions are fitted to damped J0 functions to recover phase velocity and estimates of the attenuation coefficients. Only energy between 1-4 Hz can be fitted unambiguously with J0 functions, because higher frequencies contain too much spurious energy. This result shows the equivalence of the SPAC method and seismic interferometry for the lowest mode in the Green’s function. This study also demonstrates that the coda of a regional event, seemingly unfavorably positioned, can contain energy useful for seismic interferometry.
GREENHOUSE GAS EMISSIONS FROM THERMOKARST LAKE WALLS IN RUSSIAN

Greenhouse gas studies from arctic peatlands have mainly focused on carbon dioxide (CO2) and methane (CH4) fluxes. However, recent findings show that some types of permafrost peatlands can emit also nitrous oxide (N2O) to the atmosphere. These land cover types, peat circles and peat mounds in permafrost-affected peat plateaus, are characterized by lack of vegetation, low carbon to nitrogen ratio, high gross N mineralization rate and relatively dry moisture conditions. Thermokarst lake walls show similar characteristics as the peat circles and are assumed to be one of the arctic N2O sources, but so far no studies have been carried out about their gas exchange. This study was performed in order to increase the knowledge of arctic N2O emissions for the part of thermokarst lake walls. The fluxes of N2O, CH4 and CO2 were measured from three thermokarst lake walls in the discontinuous permafrost zone in Russia using static chamber and dynamic chamber techniques. The soil gas concentrations were measured, soil properties were analyzed and the distribution of thermokarst lake walls in proximity of the three study walls was mapped. The gas exchange between the soil and the atmosphere was generally low. The average fluxes were 0.0958 ± 0.018 mg N2O m -2 d, 0.624 ± 0.222 mg CH4 m -2 d and 99.9 ± 14.3 mg CO2 m 2 d. One major reason for the low fluxes was probably the atypically low air temperatures during the study period, which might have decreased the soil microbial activity. Also, the lake wall soils were rather dry compared to peat circles and thus did not support N2O production to the same extent. Furthermore, the regular breaking of the lake walls may have disturbed the microbial communities in the soil and thus decreased the gas exchange. Water-filled pore space (WFPS) was one of the main factors affecting the rates of N2O fluxes in permafrost peatlands. Even though the N2O fluxes were low, thermokarst lake walls were nevertheless sources of N2O. It reveals that apart from peat circles there are also other important sources of N2O in the Arctic. Finally, all the small sources of N2O add up and they all should be taken into account while estimating the greenhouse gas balance in the Arctic. In the future, the role of these thermokarst processes on the greenhouse gas balance might even increase with increasing thaw rate of the permafrost. UNIVERSITY OF EASTERN FINLAND, Faculty of Science and Forestry Environmental Sciences Magdaleena Rouhiainen: Greenhouse gas emissions from thermokarst lake walls in Russian permafrost peatlands Master of Science thesis, 66 pages Supervisors: Christina Biasi (Dr.S.), Carolina Voigt (MSc) 3 of June 2015
A Case Study for Urban Burkina Faso

Given the current focus of international development policy on pro-poor growth and poverty reduction, the role of the informal sector in the process of economic development is again at the top of the research and policy agenda. A key question is if pro-poor growth policies have to address the informal sector specifically and in any particular way or if the informal sector evolves like the rest of the economy and that therefore good growth policies are also good informal sector policies. Therefore, it is of crucial importance to understand the linkages – in quality and magnitude – between the informal sector and the rest of the economy. We argue that linkages between the formal and informal sector can exist on a macro as well as on a micro level. Empirically, we analyze both levels for urban areas in Burkina Faso using households as an observation unit. We show that in this country macro or inter-household linkages between the formal and informal economy are rather weak and that it is the performance of the whole economy in general which matters most for the informal sector. In contrast, micro or intra-household linkages between informal and formal labour supply and earnings seem more important and their understanding seems extremely useful when thinking about pro-poor growth strategies.
Dual Deep Learning Networks Based Load Forecasting with Partial Real-Time Information and Its Application to System Marginal Price Prediction

Load power forecast is one of most important tasks in power systems operation and maintenance. Enhancing its accuracy can be helpful to power systems scheduling. This paper presents how to use partial real-time temperature information in forecasting load power, which is usually done using past load power and temperature data. The partial real-time temperature information means temperature information for only part of the entire prediction time interval. To this end, a long short-term memory (LSTM) network is trained using past temperature and load power data in order to forecast load power, where forecasted load power depends on the temperature prediction implicitly. Then, in order to deal with the case where nontrivial temperature prediction errors happen, a multi-layer perceptron (MLP) network is trained using the past data describing the relation between temperature variation and load power variation. Then, the temperature is measured at the beginning of the prediction time-interval and compensated load forecast is computed by adding the output of the LSTM and that of the MLP whose input is the temperature prediction error. It is shown that the proposed compensation using the real-time temperature information indeed improves performance of load power forecast. This improved load forecast is used to predict system marginal price (SMP). The proposed method is validated using the real temperature and load power data of South Korea.
Reducing the need for mechanical ventilation through the use of climate-responsive natural building materials

The health, comfort and productivity of building occupants depends to a large extent on the indoor air quality of the buildings in which they live and work. The trend towards ever more airtight building envelopes in building renovation and especially new lowenergy buildings is, however, problematic for the quality of the indoor climate, resulting in high levels of relative humidity and greater concentrations of airborne pollutants. The reduced air change rates common in modern housing projects exacerbates the problem, leading to an increase in moisture and condensation-related damages such as mould formation, which in severe cases can stimulate allergies or cause people to become ill.