Miracle-dz/UniFAR-FTUs huggingface dataset:
Intelligent IoT-Based Water Quality Monitoring System Using TD-CNN-LSTM Approach

Today, water contamination affects a large portion of the world's population. Manually collecting water samples from various sites and analyzing them in a lab as part of the routine monitoring technique. These approaches used to be effective, but they are now too slow and laborious to be practical. In addition, cutting-edge methods consider a wide range of physical and chemical elements. The standard method of quality monitoring and data sharing is time-consuming, unreliable, and costly. This emphasizes the need for constant, around-the-clock water quality monitoring. Basic Data Preprocessing, feature selection, and model training are the three main pillars of the proposed approach. The proposed method employs the preprocessing tools. The proposed system used the SOFM method (Structure-From-Function-Movement) to identify and eliminate unnecessary features selection. A model's accuracy can be measured with the help of prediction tools like utilizing CNN, LSTM, and TD-CNN-LSTM, models are trained. The proposed model outperforms two current top-tier contenders. The proposed method achieves higher accuracy (about 98.37%) when compared to other approaches like CNN and LSTM.
Yükselen Piyasa Ekonomileri ve Türkiye, 1990–2006: Neredeyiz? / Emerging Market Economies and Turkey, 1990-2006: Where are we?

Ozet Bu calisma, 2002 sonrasi donemde Turkiye ekonomisinin sergilemis oldugu makro ekonomik performansi degerlendirmektedir. Bu degerlendirme, 17 yukselen piyasa ekonomisinin secilmis 10 makro ekonomik performans kistasi verilerinin “hiyerarsik olmayan kumeleme” yontemi ile analizine dayanmaktadir. Calisma, gostergelerin 1990–2006 donemi yillik verilerini ele almakta ve her bir gosterge 1990–2001, 2002–2006 ve 1990–2006 donemleri icin kumeleme analizine konu edilmektedir. Boylece, Turkiye ekonomisinin 2002 sonrasi makro ekonomik performansi, sadece kendi gecmis verileri ile degil, ayni zamanda diger 16 yukselen piyasa ekonomisi verileri ile de karsilastirilarak daha tatminkâr bir sonuca varilabilmektedir. Turkiye ekonomisinin 2002 sonrasi makro ekonomik performansi ile ilgili bulgular, inceleme konusu degiskenlerden bazilari icin mutlak bir basariya (G ve MBR); bazilari icin mutlak bir basarisizliga (U, CDGDP ve GDPTW); ve bazilari icin de “ne basari ne de basarisizliga” (PCGDP ve FDI) isaret etmektedir. Diger bazi degiskenler (E ve I) icin durum farklidir: Bu degiskenler acisindan 2002 sonrasi performans oncesi ile kiyaslandiginda mutlak bir basariya; ilgili diger ulkelerle kiyaslandiginda ise mutlak bir basarisizliga isaret etmektedir. Ozetle, gorece, yuksek faiz oranlari Turkiye ekonomisinin en kritik gostergesi olmaya devam etmektedir. Anahtar Kelimeler: Turkiye ekonomisi, Yukselen ekonomiler, Makro ekonomik performans, Hiyerarsik olmayan kumeleme Abstract This study evaluates the macroeconomic performance of Turkish economy after the year 2002. This evaluation is based on “non-hierarchical cluster” analysis of 10 macroeconomic performance criterions of 17 emerging markets. This study covers 1990–2006 period annual data and each indicator is clustered for the period of 1990–2001, 2002–2006 and 1990–2006 separately. By this way, macroeconomic performance of Turkey is compared not only with its former data but also with the other 16 emerging countries’ market data. Findings about the macroeconomic performance of Turkey after the year 2002, signal an absolute success for some variables (G and MBR), an absolute failure for some variables (U, CDGDP and GDPTW), and “neither success nor failure” for some variables (PCGDP and FDI). The condition of some variables is different: When after the year 2002 performance of these variables is compared with its former condition, it signals an absolute success and when compared with the other countries it signals an absolute failure. As a result of the study, it is observed that high level of interest rate of Turkish economy continues to be the most critical indicator relatively. Key Words: Turkish economy, Emerging markets, Macroeconomic performance, Non-hierarchical cluster.
La asistencia a espectáculos en el ocio cultural compartido en familia de los jóvenes riojanos

The culture determine youth’s free time use, and considering the benefits associated to culture practices, it is necessary analyze cultural consume of the teenagers, concretely the related to go to entertainments. As family can influence these practices, we also study how young people from La Rioja share these activities with their families and what variables can be associated with these type of activities. More than half of young people attach importance to cultural leisure, this participation is associated with gender, and exist differences according the type of activity. Share cultural activities with the family are not so common, and they are related with gender and geographic location. In relation with go to entertainments, they stay in an intermediate position and are associated with geographic location. Share cultural activities with the family and youth’s assistance of entertainments are linked with cultural dynamism of the different Rioja´s localities.
Peru in the Table Grape Global Value Chain: Opportunities for Upgrading

Report commissioned by the World Bank 2 This research was prepared on behalf of the World Bank. The report is based on both primary and secondary information sources. In addition to interviews with firms operating in the sector and supporting institutions, the report draws on secondary research and information sources, including Peruvian organizations such as Superintendencia Nacional de Aduanas y de Administración Tributaria del Perú. The project report will be available at www.cggc. duke.edu. Acknowledgements Duke CGGC would like to thank all of the interviewees, who gave generously of their time and expertise. Duke CGGC would also like to thank Thomas Farole and Ekaterina Vostroknutova for their feedback on earlier drafts. The Duke Center on Globalization, Governance & Competitiveness (Duke CGGC) undertakes client-sponsored research that addresses economic and social development issues for governments, foundations and international organizations. We do this principally by utilizing the global value chain (GVC) framework, created by Founding Director Gary Gereffi, and supplemented by other analytical tools. As a university-based research center, we address clients' real world questions with transparency and rigor. Kha Kilometres per hectare MINAGRI Ministry of Agriculture, Peru
Cuprous Oxide Thin Films Deposited by Chemical Bath Deposition: Effect of Temperature and TEA

This study presents the synthesis of the Cu2O thin films by chemical bath deposition. The effect of temperature and the amount of triethanolamine (TEA) on the film's structural, optical, and electrical properties is studied. It is found that regardless of the amount of TEA, as the deposit temperature increases, thicker films are formed with a better-defined morphology and larger particle size. This causes the structural disorder to decrease and consequently, reduces the conductivity, and then increases the Bandgap value. The increase in TEA causes a greater complexation of the copper ion, which implies that the reaction is slower, and consequently, the oxide precipitates more slowly, and a film with more controlled growth is formed, resulting in thicker films with more homogeneous morphology, and larger particle size. It is noteworthy that thicknesses greater than one micron were achieved, which is remarkable for its applications in diverse fields. This opens the possibility of using this material through this technique in solar technology such as photovoltaics.
Psychrophilic diatoms: Mechanisms for survival in freeze-thaw cycles

Diatoms are unicellular microalgae that contribute to 20% of the global carbon fixation. This is as much as the carbon fixed by all tropical rainforests combined (Armbrust et al., 2004). Diatoms are found all over the globe, in freshand seawater, in hot and cold habitats. Their most distinctive feature is a silicified cell wall (termed frustule) made of hydrated amorphous silica and a small amount of organic material (sugar). The architecture of the frustule is based on silica patterns that are structured on a nano-tomicrometer scale. These nano-patterns can vary from species to species, creating unique morphotypes that are used as taxonomic keys (fig.1).
Using Metagenomics to Teach Biodiversity

A recent article in the Microbe, entitle “Omic Approaches in Microbial Ecology: Charting the Unknown” makes the argument that metagenomics is a powerful tool for microbial ecologist. Data from complex environmental samples have revealed unique organisms and uncultured microbes that widen our knowledge of microbial diversity [3]. Traditional isolation of microbes using culture media has provided a great deal of information yet many organisms remain uncultured which is a major limitation of this technique. With the data derived from metagenomics, microbiologists are able to reconstruct genomes, transcriptomes, and proteomes of whole microbial communities [3]. Because microbes play such a key role in ecology and serve as models for evolutionary changes, it is critical that educators introduce this powerful tool to our next generation of scientist.
Synthesiomyia nudiseta (Diptera: Muscidae) y su importancia en Entomología Forense e investigación aplicada

The muscid Synthesiomyia nudiseta (van der Wulp, 1883) is a species with forensic importance in tropical and subtropical regions of the world. This fly has recently been introduced into southern Europe and, until now, had not been recorded in forensic cases in this region. Here, morphology of all larval instars of S. nudiseta is documented in detail by using a combination of light and scanning electron microscopy. Literature data concerning larval morphology are revised and characters allowing identification from other forensically importantMuscidae are listed. The life cycle of this species was studied at four constant temperatures: 15, 20, 25 and 30°C. Total development varied between 46.50±0.97 days at 15°C and 15.39±0.32 days at 30°C. Moreover, we report this species breeding in human corpses, for the first time in Europe, in forensic cases from autopsies at the Anatomical Forensic Institute of Madrid and the Institute of Legal Medicine of Alicante, Spain.
Historical records of cloudiness and sunshine in Australia

Abstract Historical records of mean monthly cloud amount over Australia have been studied to determine whether there is any long-term trend. Of 318 stations with more than 30 years of data, 252 show an increase and 66 a decrease. The cloud amount shows a rise of 5% between 1910 and 1989, when averaged over all stations. The trend is not uniform, however, with a slight fall in cloud between 1910 and 1930 and with most of the rise between 1930 and 1980. Sunshine records were used to check the cloud record for systematic errors. Monthly average cloud and sunshine fractions are correlated with coefficient r=−0.87 and with best-fit slope −1.00. The sum of cloud and sunshine fractions is around 1.2, whereas it may be expected that the sun should be 1.0 if the cloud and sunshine fractions are complementary. The sunshine and cloud variations are in close agreement for the period 1950 to 1989. The subset of stations that have sunshine records shows no overall change in cloudiness or sunshine over this period, with.
Review Effectsof PulsedElectromagnetic Fieldson PostmenopausalOsteoporosis

Siyi Zhu , HongchenHe,Chi Zhang, HaimingWang, Chengfei Gao, XijieYu,* andChengqi He* RehabilitationMedicineCenter,West ChinaHospital, SichuanUniversity, Chengdu, P. R. China RehabilitationKeyLaboratoryof SichuanProvince,West ChinaHospital, Sichuan University, Chengdu, P. R. China Laboratoryof EndocrinologyandMetabolism, Department of Endocrinology, National KeyLaboratoryofBiotherapy/Collaborative InnovationCenterofBiotherapyand CancerCenter,West ChinaHospital, SichuanUniversity, Chengdu, P. R. China
On the reliability of analytical models to predict solute transport in a fracture network

In hydrogeology, the application of reliable tracer transport model approaches is a key issue to derive the hy- drodynamic properties of aquifers. Laboratory- and field-scale tracer dispersion breakthrough curves (BTC) in fractured media are notorious for exhibiting early time arrivals and late time tailing that are not captured by the classical advection-dispersion equation (ADE). These "non-Fickian" features are proven to be better explained by a mobile-immobile (MIM) approach. In this conceptualiza- tion the fractured rock system is schematized as a continuous medium in which the liquid phase is separated into flowing and stagnant regions. The present study compares the performances and relia- bilities of the classical MIM and the explicit network model (ENM), taking expressly into account the network geometry for describing tracer transport behavior in a fractured sample at bench scale. Though ENM shows better fitting results than MIM, the latter remains still valid as it proves to describe the observed curves quite well. The results show that the presence of nonlinear flow plays an important role in the behavior of solute transport. First, the distribution of solute according to different pathways is not constant, but it is related to the flow rate. Second, nonlin- ear flow influences advection in that it leads to a delay in so- lute transport respect to the linear flow assumption. However, nonlinear flow is not shown to be related with dispersion. The experimental results show that in the study case the ge- ometrical dispersion dominates the Taylor dispersion. How- ever, the interpretation with the ENM shows a weak transi- tional regime from geometrical dispersion to Taylor disper- sion for high flow rates. Incorporating the description of the flow paths in the analytical modeling has proven to better fit the curves and to give a more robust interpretation of the so- lute transport.
MI-EEG Recognition Based on Euclidean Alignment and Style Transfer Mapping

To improve the efficiency and universality of transfer learning in the application process of motor imagery (MI) brain-computer interface (BCI), we propose a classification recognition framework for MI-BCI. We use Euclidean alignment (EA) to align electroencephalogram (EEG) signals obtained after preprocessing, then regularized common spatial pattern (RCSP) is used to remove the redundancy information of the signals. We use a transfer learning (TL) algorithm based on feature mapping to carry out specific knowledge transfer so that the classifier on the source domain can be transferred to the target domain for classification recognition. The experiment results show that the average classification accuracy of the framework on data sets 1 and 2a of the BCI competition IV have increased significantly compared with recent literature.
Design of a Robotic Gripper by using Multi-objective Optimization Vibrating Particles System Algorithm

In this contribution, the optimum forces extracted by a robot gripper on the surface of a grasped rigid object are determined. For this purpose, a multi-criteria optimization problem is formulated and solved by using the Multi-objective optimization Vibrating Particles System (MOVPS) algorithm. This numerical strategy is based on the association between the Vibrating Particles System (VPS) algorithm and three operators: Pareto dominance, crowding distance and mutation strategy. In addition, the proposed algorithm considers an external repository used to help the convergence during the evolutionary process. The objectives involve minimizing the difference between maximum and minimum gripping forces and simultaneously minimizing the transmission ratio between the applied gripper actuator force and the force experienced at the gripping ends. The results indicate that the proposed methodology surpasses the optimal solution of the previous study. However, without an increase in number of objective function evaluations.
The Need for and Contents of a Course in Forensic Information Systems & Computer Science at the University of Cape Town

This paper aims to investigate the need for and contents of a course in forensic Information Systems and Computer Science at UCT. In order to do this, the reader is introduced to computer crime and shown how the forensic process of identifying, preserving, recovering, analyzing, and documenting computer data supposedly used in crimes committed using computers is helping in investigating and solving these types of crime. An actual forensic approach known as the End-toEnd Digital Investigation is also discussed.
Local Leaders’ Perceptions about Sustainable Tourism Development in Timor-Leste

Timor-Leste is a small island that emerged as Asia’s newest nation in 2002, and it is largely unknown as a tourism destination in the world, with geographic, natural, and socio cultural weaknesses and vulnerability. In this country, tourism is considered as one of the priorities for the national economic development, in addition to agriculture, and petroleum. However, in a new destination, which is also in the first stage of tourism development, the involvement of stakeholders is very limited both on the supply and the demand sides. This situation presents a major challenge to the achievement of a sustainable tourism development. Moreover, the study of tourism in this country is a very recent phenomenon. In this context, the objective of this study is twofold. Firstly, it intends to examine the perceptions of the local leaders (from the public sector, the private sectors and from non-governmental organizations) regarding the sustainable tourism development concept; and secondly, to understand to what extent these leaders take initiatives in voluntary actions towards sustainable tourism development at the local level, as well as their motivations and difficulties in this process.
Development and validation of nomograms for predicting the prognosis of early and late recurrence of advanced gastric cancer after radical surgery

Objective In this study, we aimed to explore the risk factors influencing post recurrence survival (PRS) of early recurrence (ER) and late recurrence (LR) in stage advanced gastric cancer (AGC) patients after radical surgery, respectively, and to develop predictive models in turn. Methods Medical records of 192 AGC patients who recurred after radical gastrectomy were retrospectively reviewed. They were randomly divided into the training and validation set at a ratio of 2:1. Nomograms were built based on risk factors influencing PRS of ER and LR explored by Cox regression analyses, respectively. Concordance index (C-index) values and calibration curves were used to evaluate predictive power of nomograms. Results Body mass index < 18.5 kg/m2, prealbumin level < 70.1 mg/l, positive lymph nodes ratio [≥] 0.486 and palliative treatment after recurrence were independent risk factors for the prognosis of ER. In contrast, prealbumin level < 170.1 mg/l, CEA [≥] 18.32 g/l, tumor diameter [≥] 5.5 cm and palliative treatment after recurrence were independent risk factors for the prognosis of LR. The C-index value was 0.801 and 0.772 for ER and LR in the training set, respectively. The calibration curves of validation set showed a C-index value of 0.744 and 0.676 for ER and LR, respectively. Conclusions Nomograms which were constructed to predict the prognosis of ER and LR of AGC after surgery showed great predictive power and could provide reference for clinicians treatment strategies to some extent.
Dual nitrate isotopes clarify the role of biological processing and hydrologic flow paths on nitrogen cycling in subtropical low‐gradient watersheds

Nitrogen (N) is an important nutrient as it often limits productivity but in excess can impair water quality. Most studies on watershed N cycling have occurred in upland forested catchments where snowmelt dominates N export; fewer studies have focused on low‐relief watersheds that lack snow. We examined watershed N cycling in three adjacent, low‐relief watersheds in the Upper Coastal Plain of the southeastern United States to better understand the role of hydrological flow paths and biological transformations of N at the watershed scale. Groundwater was the dominant source of nitrified N to stream water in two of the three watersheds, while atmospheric deposition comprised 28% of stream water nitrate in one watershed. The greater atmospheric contribution may have been due to the larger stream channel area relative to total watershed area or the dominance of shallow subsurface flow paths contributing to stream flow in this watershed. There was a positive relationship between temperature and stream water ammonium concentrations and a negative relationship between temperature and stream water nitrate concentrations in each watershed suggesting that N cycling processes (i.e., nitrification and denitrification) varied seasonally. However, there were no clear patterns in the importance of denitrification in different water pools possibly because a variety of factors (i.e., assimilatory uptake, dissimilatory uptake, and mixing) affected nitrate concentrations. Together, these results highlight the hydrological and biological controls on N cycling in low‐gradient watersheds and variability in N delivery flow paths among adjacent watersheds with similar physical characteristics.
Analysis and mining of low-carbon and energy-saving tourism data characteristics based on machine learning algorithm

In order to study the formation mechanism of residents' low-carbon awareness and provide an important basis for traffic managers to guide urban residents to choose low-carbon travel mode, this paper proposes a low-carbon energy-saving travel data feature analysis and mining based on machine learning algorithm. This paper uses data mining technology to analyze the data of low-carbon travel questionnaire, and regards the 15-dimensional problem under the framework of planned behavior theory as the internal cause variable that characterizes residents' low-carbon travel willingness. The author uses K-means clustering algorithm to classify the intensity of residents' low-carbon travel willingness, and applies the results as the explanatory variables to the random forest model to explore the mechanism of residents' social attribute characteristics, travel characteristics, etc. on their low-carbon travel willingness. The experimental results show that based on the Silhouette index test and t-SNE dimensionality reduction, residents' low-carbon travel willingness can be divided into three categories: strong, neutral, and not strong; Based on the importance index, the four most significant factors are the occupation, residence, family composition and commuting time of residents. Conclusion: This method provides policy recommendations for the development and management of urban traffic low-carbon from multiple perspectives.
Early Cambrian stenothecoid molluscs from China

A new species of Stenothecoides, S. yochelsoni sp. nov., is described from the Early Cambrian Huangshandong Member of the Tongying Formation in Eastern Yangtze Gorge, western Hubei, China. This species is one of the new members of the Yangtze micromolluscan fauna. The occurrence indicates that the first appearance of Stenothecoides can be dated to the earliest Cambrian, and it is probably the earliest record of the genus. Two other Early Cambrian species, Bagenovia cf. sajanica Horny and Stenothecoides sp. , are described from the Xidashan Formation of Kuruktag, Xinjiang, China.