SAMPLID: A New Supervised Approach for Meaningful Place Identification Using Call Detail Records as an Alternative to Classical Unsupervised Clustering Techniques

Data supplied by mobile phones have become the basis for identifying meaningful places frequently visited by individuals. In this study, we introduce SAMPLID, a new Supervised Approach for Meaningful Place Identification, based on providing a knowledge base focused on the specific problem we aim to solve (e.g., home/work identification). This approach allows to tackle place identification from a supervised perspective, offering an alternative to unsupervised clustering techniques. These clustering techniques rely on data characteristics that may not always be directly related to classification objectives. Our results, using mobility data provided by call detail records (CDRs) from Milan, demonstrate superior performance compared to applying clustering techniques. For all types of CDRs, the best results are obtained with the 20 × 20 subgrid, indicating that the model performs better when supplied with information from neighboring cells with a close spatial relationship, establishing neighborhood relationships that allow the model to clearly learn to identify transitions between cells of different types. Considering that it is common for a place or cell to be labeled in multiple categories at once, this supervised approach opens the door to addressing the identification of meaningful places from a multi-label perspective, which is difficult to achieve using classical unsupervised methods

High Moisture Sorghum Grain Silage: Effects of Tannin Content and Urea Treatment on the Performance of Dairy Cows

Grain sorghum silage tannin content effect was evaluated on milk production and chemical composition of Argentinean Holstein bred cows, and it are described dry matter (DM) and crude protein (CP) in situ digestion parameters and effective degradability. The base diet was constituted by alfalfa pasture, maize silage, and a protein – mineral supplement, differing in three treatments based on high moisture grain silage characteristic: LTS= Low tannin grain sorghum, HTS= High tannin grain sorghum, and HTSu= High tannin sorghum plus the addition of urea. Grain sorghum silage tannin content affects milk production, without significant alteration of chemical composition. Beside the effect of urea addition on grain sorghum tannin content, improvement in animal response was only moderate

Optical accelerometer for seismic measurement

In this work we present an optical accelerometer based in a cantilever beam attached to a fiber Bragg grating (FBG), which can be applied to the seismic and geological fields. This device main characteristics are a high strain along the FBG and a wide operational frequency range. The accelerometer can be easily modeled as a mass block and a fiber optic attached at the cantilever beam tip, the FBG length varies due to the movement of the mass caused by the vertical vibrations. The frequency response range has been enhanced and it was achieved a natural frequency of 242.4 Hz

Supplementation of Dairy Cows under Alfalfa Grazing Conditions with Ground Corn

Two trials were carried out during the Autumn of 1991 and 1992 to investigate the effects of corn supplementation on lactational performance of dairy cows under alfalfa grazing. Forty two multiparous Holstein cows with 30-60 days in milk were used in a randomized continuous design with covariance analysis. The treatments were 0.0, 3.5 and 7.0 kg.day-1 of corn grain supplementation (T1, T2 and T3 respectively) in 1991 and 0.0, 3.0, 6.0 and 9.0 kg.day-1 (T1, T2, T3 and T4 respectively) in 1992. Six cows per treatment were used divided in 3 cows per grazing paddock. Dry matter (DM) intake (DMI) was estimated weekly for each group of cows. The pasture allowance was between 22-26 kg DM.cow-1.day-1. Pasture and grain DMI were 16.6 and 0.0, 13.5 and 3.2, 13.3 and 6.1 kg.cow-1.day-1 (T1, T2 and T3 respectively) in 1991; 16.8 and 0.0, 15.7 and 2.1, 14.0 and 4.1, 12.2 and 6.3 kg.cow-1.day-1 (T1, T2, T3 and T4 respectively) in 1992. The substitution rate was 0.66 kgDM pasture per kgDM corn. There was a lineal effect of supplementation on milk production the responses were 0.936 (1991) and 1.173 (1992) kg milk kgDM-1 corn. However, non significant effects (P \u3e0.05) on fat content (32.8 and 31.9 g. kg-1 milk) and protein contents (30.7 and 30.7 g. kg-1 milk) in milk during both years (1991 and 1992 respectively) were observed

Radical radiotherapy in epidermoid cancer in the orbitary region: ideal scheme of hypo-fractionation in times of COVID-19: a case report

There are adverse events in the patient's environment that impact on therapeutic decisions and become a medical challenge, as is currently the management of cancer patients with radiotherapy, particularly the elderly in times of a COVID-19 pandemic, due the high risk of infection and fatal complications from non-cancer causes. Here we present the case of an 84-year-old woman with voluminous squamous cell cancer in the left orbital region, which caused intense pain, stench, and persistent bleeding. And due to persistence and time, it impacted with deterioration in the patient’s quality of life. In the end, of hypo fractionated radiotherapy management as the only modality, it evolves with a complete clinical response and total palliation of initial symptoms. The reasons for the decision to manage radiotherapy and the excellent clinical results that reinforce the idea of personalized medicine and the importance of evaluating the biopsychosocial environment of the cancer patient will be discussed

Effect of Irrigation Volume on Biomass and Nutritional Value of Zea mays L. as Green Hydroponic Forage

Objective: To evaluate the effect of irrigation water volume on biomass production and quantify the nutritive value of hydroponic green corn forage (HGCF) for sheep. Design/methodology/approach: Three treatments to evaluate the irrigation water volume were used: T1) 9.48 l/m2 day-1; T2) 18.95 l/m2 day-1 y T3) 28.43 l/m2 day-1, using a completely randomized block design. For determination of the nutritional value, four levels of inclusion (0.20.40, 60% DM) of HGCF in the diet of 16 sheep were used. A completely randomized design and a linear regression model were used. Results: A higher weight of the fresh biomass of HGCF was observed with T3 (P <0.01). The apparent digestibility values of DM, OM, CP, NDF and ADF of HGCF ranged between 80 and 89%. The estimated digestible energy was 3.9 megacalories/ kg DM. Limitations on study/implications: Forage production in dry tropics is considered to be significantly seasonal, however, HGCF represents a viable alternative for the rapid production of forage in a sustainable way and of high nutritional quality for animals. Findings/conclusions: The highest yields of fresh biomass from the hydroponic green corn forage are obtained using a higher volume of irrigation water. Likewise, it’s a forage of high nutritional value for sheep, with a considerable amount of digestible energy, so it can be used as an excellent source of forage for feeding animals.Objective: To evaluate the effect of irrigation water volume on biomass production andto quantify the nutritional value of green hydroponic maize forage (GHMF) for sheep.Design/Methodology/Approach: Three treatments were used to evaluate waterirrigation volume: T1) 9.48 L m 2 day -1 ; T2) 18.95 L m 2 day -1 ; and T3) 28.43 L m 2 day -1 ,employing a completely randomized statistical block design. To determine nutritionalvalue, four inclusion levels of GHMF were used (0,20.40, 60% BS) in the diet of 16sheep. A completely randomized statistical design was used as well as a linearregression model.Results: A greater weight in fresh biomass of GHMF was observed with T3 (P<0.01).The values of apparent digestibility of DM, OM, CP, NDF, and ADF of GHMF oscillatebetween 80 and 89%. The estimated digestible energy was 3.9 megacalories/kg DM.Study Limitations/Implications: Forage production in the dry tropics is characterizedby being markedly seasonal; however, GHMF represents a viable alternative for therapid and sustainable production of forage with high nutritional value for animals.Findings/Conclusions: The greatest yields in fresh biomass of green hydroponicmaize forage are obtained by using a greater volume of irrigation water. Likewise, the forage has high nutritional value for sheep, with considerable delivery of digestibleenergy, thus it can be used as an excellent source of forage in animal feeding

Optimisation of Multilayer Perceptrons Using a Distributed Evolutionary Algorithm with SOAP

Abstract. SOAP (simple object access protocol) is a protocol that al-lows the access to remote objects independently of the computer archi-tecture and the language. A client using SOAP can send or receive ob-jects, or access remote object methods. Unlike other remote procedure call methods, like XML-RPC or RMI, SOAP can use many different transport types (for instance, it could be called as a CGI or as sockets). In this paper an approach to evolutionary distributed optimisation of multilayer perceptrons (MLP) using SOAP and language Perl has been done. Obtained results show that the parallel version of the developed programs obtains similar or better results using much less time than the sequential version, obtaining a good speedup. Also it can be shown that obtained results are better than those obtained by other authors using different methods.

New analysis method for continuous base-flow and availability of water resources based on Parallel Linear Reservoir models

Water flows in the hydrosphere through a tangled and tortuous labyrinth of ways that is the hydrological cycle. Flow separation models are an attempt to group such complexity of paths into a few components of flow and storage so as to reflect the overall behaviour of a basin. A new method of analysis and separation of flow components, based on equations of dynamic relations between Linear Reservoirs connected in Parallel (PLR models), is developed in this article. A synthesis of models based on mathematical filter equations is carried out in order to make comparisons with the proposed model. Reference is also made to the methodology of adjustment and calibration of the PLR models based on the recession curves of the real hydrographs. The models are tested with the continuous register of a basin located in the northeast of Spain. The simulations are carried out with two reservoir models (2R models), three reservoirs (3R models) and with a mathematical filter model to compare the results. With the results of the models, flow duration curves (FDCs) and storage duration curves (SDCs) were elaborated, thus allowing assessment of the origin of the water resources of the basin, a guarantee of their regulation and availability, the dynamic storage in the catchment, residence times and other features