Miracle-dz/UniFAR-FTUs huggingface dataset:
Fishery and biological aspects of anchovy Kilka ( Clupeonella engrauliformis) in the southern Caspian Sea

This paper aimed to investigate the fishery and biological characteristics of anchovy Kilka in Iranian waters of the Caspian Sea from 2005-2007, including length and age structure ,Von Bertalanffy growth parameters, length and age at first capture, condition factor, sex ratio, natural and fishing mortality. The examination of catch data approved that Kilka population in the Caspian Sea have been declined a few years ago following entrance jellyfish Ctenophora Mnemiopsis leidyi. The greatest destruction of anchovy kilka catch was occurred while the catch of anchovy from 4250 tonnes in 2005 reached to 924 tonnes in 2007. The results showed that K value and L∞ calculated 0.375/year, 131.7mm, respectively. The instantaneous coefficient of natural mortality was estimated 0.49/year.The instantaneous coefficient of fishing mortality and total mortality was 0.51 /year and 1/year, respectively. The Exploitation rate was calculated as 0.51. The length and age ranges restricted comparison to last decade and sharply decreased recruitment. In the past few years, the main reasons of disintegrates among anchovy Kilka stocks in the Caspian Sea were synchronized overfishing competitive anchovy Kilka with M. leidyi.
Iterated Revisions in Large and Noisy State Spaces Using Ranking Functions

Ranking functions rank all possible instances of a world acc ording to the disbelief associated with each instance. Two problems follow fro m this simple premise. The first is that all instances of a world can only be enumerate d for very small worlds. The second issue arises whenever ranking functions are used to represent the belief of an actual agent. Since the observations of that agent are usually contaminated with noise, it is impossible to directly relate th m to a particular world instance. This work discusses how to cope with these di fficulties. Additionally, the proposed methods are assessed in a reinforcement learning a pplication, where the usage of a ranking functions enables an agent to learn where i t would fail otherwise.
Decoupling of above and belowground C and N pools within predominant plant species Stipa grandis along a precipitation gradient in Chinese steppe zone

Abstract. The coupling of the carbon and nutrient cycles drives the food web structure and biogeochemistry of ecosystems. However, across precipitation gradients, there may be a shift in C and N pools from above- to belowground because of shifting plant stoichiometry and allocation. Here, we present a study which is the first to explicitly compare above- and belowground pool sizes of N and C within predominant plant species along precipitation gradient. We dissected these pools into biomass allocation and nutrient concentrations. Based on previous evidence, biomass allocation to roots should increase with aridity, while leaf [N] should increase. If their effect sizes are equal, they should cancel each other out, and the above- and belowground proportions of the N would remain constant. Along a precipitation gradient in Chinese steppe zone, the effect sizes of the biomass shifts were remarkably consistent among the predominant species, Stipa grandis. The effect sizes of biomass allocation and [N] were equal and the proportion of N of above- and belowground did not change with aridity, but the shift in leaf [C] with aridity was much weaker than the biomass shift, leading to a decrease in the proportion of C belowground at dry sites. Precipitation gradients do decouple the C and N pool of S. grandis along a precipitation gradient in Chinese steppe zone.
Digital (or touch-less) fingerprint lifting using structured light

An automatic photographic acquisition system to capture images of fingerprints on crime scenes for the public force is developed. For this, we propose a complete system, from the physical acquisition device to the software that automatically yields a 3D reconstruction of the fingerprint, i.e. the fingerprint and the surface on which the print is laid. The proposed technological solution is innovative, as it relies on a single captured color image of the scene, on which structured light is projected. Thus, the system is portable and as easy to use as a standard camera. Since the prototype is not finalized at the present time, our study focuses on the feasibility of the proposed solutions by means of simulations with a raytracer.
Performance of Family Business in Malaysia

Performance of family firms is an interestingly growing topic of study. In Malaysia, many studies were conducted in an attempt to understand performance of family firms, however these studies have been biased towards operationalizing performance through financial indicators particularly Tobin’s Q. Researchers also tended to test the effect of various factors relating to corporate governance and board of directors on performance. Ethnic wise, performance of family firms may be significantly impacted by culture. Success of Chinese firms seems to be attributed to the role of family participation and ethnic networks governing the entrepreneurial practice.
Research on Speed Sensorless Vector Control System of Asynchronous Motor Based on MRAS

This paper analysed the basic principle of speed sensorless vector control system. Based on speed and current closed loop vector control, combined with a simple and feasible current hysteresis control strategy, the whole speed sensorless system of asynchronous motor is simulated in MATLAB/Simulink. The method uses the Model Reference Adaptive System (MRAS). The observation and analysis of waveform shows that the system has good static performance and robustness. The control effects are also as similar as the vector control system which contains speed sensor.
Enhancing Learning for Participants in Workplace Mentoring Programmes

This study examined learning for matched pairs of mentors and proteges who participated in a formal workplace mentoring program in the United States. The use of matched pairs enabled the analysis of how affective trust, perceived organizational support, and mentoring received were related to the learning by both the proteges and the mentors. Protege learning was positively related to protege affective trust and the amount of mentoring received by the protege. Mentor learning was positively related to mentor affective trust and protege perceived organizational support. Recommendations are offered to enhance the learning for participants in workplace mentoring programs.
The Role of Perceived Justice in Building Brand Trust

The objective of this study is to examine the relationships between perceived justice, brand trust and switching costs. In this context, using convenience sampling, a survey was conducted on 427 complaining customers regarding with white goods. Structural equation modeling was used to test the proposed hypotheses. The results of the empirical study reveal that perceived justice dimensions are positively related to brand trust and switching costs. In addition, the findings also confirm positive relationship between brand trust and switching costs. At the end of this study, managerial implications are discussed.
Effect of Repetitive Transcranial Magnetic Stimulation Pulses on Muscle Spasticity of Cerebral Palsy Children

Background: Spasticity is a common contributor to the quality of life of children with CP as it leads to musculoskeletal problems; however, it had been proved that removal of spasticity can improve motor functions in these children; thus, several invasive and non-invasive approaches are applied. Repetitive Transcranial magnetic stimulation (rTMS) is one such non-invasive brain stimulation approach that can induce motor functions in children with movement disorder depending on stimulation intensity and pulses. Objective: This study was aimed to evaluate the effect of different rTMS pulses on muscle spasticity of spastic cerebral palsy (CP) children. Method: Thirty spastic CP children participated in this study which was divided equally into three groups P15, P20 and P25 on the basis of stimulating pulses of 1500, 2000 and 2500 respectively. Modified Ashworth Scale (MAS) was employed for assessing the degree of muscle spasticity and prior to start of rTMS therapy, pre assessment of MAS was performed on selected muscles of both lower and upper limbs. rTMS therapy was administered at 10 Hz frequency to each of the participants for 15 min duration for 20 days followed by physical therapy (PT) of 30 min duration daily for 20 days. After completion of the therapy sessions, post-assessment of MAS on exactly the same muscles were recorded. Result: Statistically significant result (p<0.5) was found on different muscles that responded to different rTMS pulses between groups along with reduction in muscle spasticity. Conclusion: The result demonstrated that rTMS pulse of 1500 and 2000 was effective in both upper and lower limb muscles of spastic CP children but pulse of 2500 was effective in children with severe muscle tightness falling in higher age group range.
A Flexible K-Means Operator for Hybrid Databases

The K-means algorithm is widely used in unsupervised learning and data exploration. It is less used in analytical databases due to its high computational cost. K-means has been explored in great detail, mostly focusing on performance. However, in emerging hybrid CPU-FPGA databases where memory bandwidth is shared across software and hardware operators, two additional requirements arise. One is parameterization to avoid frequent reprogramming. The other is concurrent use to balance memory bandwidth and computation. Our design supports two operational modes that can be chosen at runtime, one for high query throughput and one for evaluating multiple clusters concurrently. The former targets speed up, while the latter targets efficient bandwidth utilization by increasing the amount of computation per input byte. Our design is competitive when compared to both existing FPGA-based solutions as well as highly optimized multi-core software implementations.
Nestedness of trophic links and biological traits in a marine food web

To understand the consequences of changes in diversity we need to consider the functional characteristics (traits) of species, as well as the trophic setting the taxa are part of. These two approaches have rarely been conducted in an integrated manner, although we know that trophic structure is an important driver of community functioning, and that biological traits, in particular body size, in turn determine which species interact. In this study, we assessed how structural food-web attributes (nestedness, generality, vulnerability) relate to multiple biological traits of interacting taxa. We found that the inherent complexity of a shallow subtidal trophic network of benthic macroinvertebrates and fish in the northern Baltic Sea contained identifiable and specific patterns: the feeding interactions were highly nested, both in terms of prey taxonomy and biological traits, suggesting trophic redundancy rather than trophic complementarity. Both trait diversity and trait redundancy of interacting species incr.
Composition and animal preference for plants used for goat feeding in semiarid Northeastern Mexico.

Arid and semiarid zones of Northeastern Mexico are characterized as regions with high variation in their climatic conditions but rich in drought-tolerant botanical species which are potentially useful for grazing and pastoral activities. Feeding habits and voluntary intake from a total of 100 grazing goats were determined through identification of the plants that make up their diet, their availability in the rangeland, preference index, browsing height and their chemical composition during a 10-month growing period. Four heights of browsing were determined in the different vegetative strata. Climatic factors were determinant in the height of grazing and the availability of forage. Shrub species constituted 78% of the animal diet during the growing season followed by herbs (12 -18%) and grasses (6-10%). The species with higher index of preference offered high availability in the rangeland wi th proper content of crude protein (10.7 -24%), crude fiber (12.2-24.5%), cellulose (5.9-20.6%) and nitrogen free extract (30.2 -50.6%). These results indicate that in seasons of high feed availability the intake of most preferred shrubs is taking place most of the time at a browsing height between 80 and 120 cm with species rich enough in nutrients to satisfy their minimum daily protein and fiber requirements. (? Y que onda con aquello de que cuando hay muchas hierbas abajo prefieren comer esas hierbas? ) Thus, the pasture conditions, climate and the availability of the vegetation in a given season are crucial factors for suitable livestock management.
Non-Fourier Heat Conduction Effect on Laser-Induced Thermal Damage in Biological Tissues

To ensure personal safety and improve treatment efficiency in laser medical applications, one of the most important issues is to understand and accurately assess laser-induced thermal damage to biological tissues. Biological tissues generally consist of nonhomogeneous inner structures, in which heat flux equilibrates to the imposed temperature gradient via a relaxation phenomenon characterized by a thermal relaxation time. Therefore, it is naturally expected that assessment of thermal damage to tissues could be inaccurate when a classical bioheat conduction model is employed. However, little attention has been given to studying the impact of the bioheat non-Fourier effect. In this article, a thermal wave model of bioheat transfer, together with a seven-flux model for light propagation and a rate process equation for tissue damage, is presented to investigate thermal damage in biological tissues. It is shown that the thermal damage assessed with the thermal wave bioheat model may differ significantly from that assessed with the classical bioheat model. Without including the bioheat non-Fourier effect, the assessment of thermal damage to biological tissue may not be reliable.
EOS developments

CERN has been developing and operating EOS as a disk storage solution successfully for over 6 years. The CERN deployment provides 135 PB and stores 1.2 billion replicas distributed over two computer centres. Deployment includes four LHC instances, a shared instance for smaller experiments and since last year an instance for individual user data as well. The user instance represents the backbone of the CERNBOX service for file sharing. New use cases like synchronisation and sharing, the planned migration to reduce AFS usage at CERN and the continuous growth has brought EOS to new challenges. Recent developments include the integration and evaluation of various technologies to do the transition from a single active in-memory namespace to a scale-out implementation distributed over many meta-data servers. The new architecture aims to separate the data from the application logic and user interface code, thus providing flexibility and scalability to the namespace component. Another important goal is to provide EOS as a CERN-wide mounted filesystem with strong authentication making it a single storage repository accessible via various services and front- ends (/eos initiative). This required new developments in the security infrastructure of the EOS FUSE implementation. Furthermore, there were a series of improvements targeting the end-user experience like tighter consistency and latency optimisations. In collaboration with Seagate as Openlab partner, EOS has a complete integration of OpenKinetic object drive cluster as a high-throughput, high-availability, low-cost storage solution. This contribution will discuss these three main development projects and present new performance metrics.
On quenched and annealed critical curves of random pinning model with finite range correlations

This paper focuses on directed polymers pinned at a disordered and correlated interface. We assume that the disorder sequence is a q-order moving average and show that the critical curve of the annealed model can be expressed in terms of the Perron-Frobenius eigenvalue of an explicit transfer matrix, which generalizes the annealed bound of the critical curve for i.i. d. disorder. We provide explicit values of the annealed critical curve for $q=1$,$2$ and a weak disorder asymptotic in the general case. Following the renewal theory approach of pinning, the processes arising in the study of the annealed model are particular Markov renewal processes. We consider the intersection of two replicas of this process to prove a result of disorder irrelevance (i.e. quenched and annealed critical curves as well as exponents coincide) via the method of second moment.
Supporting Discovery through Contextual Representation : Developing a Tool for Visually Exploring Slave Narratives

When an individual interacts with a set of documents, their understanding is informed by a process of exchange between reader and text. As such, any tool that facilitates this interaction has the potential to alter the experience in profound ways. In this paper, we explore these potential influences through a case study. The Slave Narrative Name and Place Project sought to develop a comprehensive list of people and places mentioned across the collection of Documenting the American South’s North American Slave Narratives (http://docsouth.unc.edu/neh/). The intent was to employ automated extraction via Natural Language Processing, combined with human annotation, to generate ways of exploring the collection. Using a sample of twelve texts, we developed multiple points of entry, displayed in a visually interactive web-based tool: 1) an affect tapestry, generated through automated sentiment analysis; 2) a character tapestry, which visualizes persons mentioned in the narratives by social role (e.g. slave, slaveholder, mistress, religious figures, etc.) based on human annotation work; 3) and indices of people and geographical entities mentioned in the texts. We explore the challenges that we faced in the development of this tool, including creating an appropriate classification schema for visualizing social roles. This project raises important questions about visualizing humanistic objects. How can visual tools be used to support exploration and analysis of historical corpora? What are important concerns regarding the historical and literary specificity in representing persons? By presenting some of the challenges in the development of this visualization tool, we hope our work will inform the development of future text exploration tools in the digital humanities.
The Geography of Civil War

Geographical factors play a critical role in determining how a civil war is fought and who will prevail. Drawing on the PRIO/Uppsala Armed Conflict dataset covering the period 1946-2000, the authors have determined the location of all battle-zones for all civil wars in this time period, thereby identifying the geographic extent and the center point of each conflict. Using ordinary least squares (OLS) and three-stage least squares (3SLS) estimation techniques, factors are analyzed that determine the scope of the conflict (area of the conflict zone) and the location of the conflict relative to the capital. It is found that in addition to geographical factors such as the total land area of the country, scope is strongly shaped by such factors as the adjacencies of a border of a neighboring country, the incidence of natural resources in the conflict zone, and the duration of the conflict. The distance of the conflict zone from the capital is influenced by the scope of the conflict, the size of the country, whether or not the objective of the rebels is to secede, and whether or not the rebel group has a religious or ethnic identity. Also, evidence is found of an endogenous relationship between scope and location.
Comparing Prediction Methods in Anomaly Detection : An Industrial Evaluation

This paper studies the popular Holt-Winters, SARIMA, and KalmanFilter prediction methods on industrial time series in the cybersecurity context. The analyzed datasets represent various data sources from internal networks, telecommunications, firewalls and email traffic, all with particular characteristics that require the utilisation of different algorithms and settings. This includes problems present in training data, being missing, wrong, or containing outliers. The obtained results provide an insight into the performance of the methods on typical industrial datasets, thus, enabling security practitioners to choose a “best fit” method for their use cases and guiding them in choosing the optimal size of training data and providing recommendations for the best settings of the given methods.
Community Structure of Phyllosphere Bacteria in Different Cultivars of Fingered Citron (Citrus medica ‘Fingered’) and Their Correlations With Fragrance

In recent years, plant metabolomics and microbiome studies have suggested that the synthesis and secretion of plant secondary metabolites are affected by microbial-host symbiotic interactions. In this study, six varieties of fingered citron (Citrus medica ‘Fingered’) are sampled to study their phyllosphere bacterial communities and volatile organic compounds (VOCs). High-throughput sequencing is used to sequence the V5–V7 region of the 16S rRNA of the fingered citron phyllosphere bacteria, and the results showed that Proteobacteria, Actinobacteria, Firmicutes, and Bacteroidetes were the dominant bacterial phylum in the phyllosphere of fingered citron. There were significant differences in the phyllosphere bacteria community between XiuZhen and the remaining five varieties. The relative abundance of Actinomycetospora was highest in XiuZhen, and Halomonas, Methylobacterium, Nocardioides, and Pseudokineococcus were also dominant. Among the remaining varieties, Halomonas was the genus with the highest relative abundance, while the relative abundances of all the other genera were low. Headspace solid-phase microextraction (HS-SPME) and gas chromatography-mass spectrometry (GC-MS) were used to analyze and identify the aroma compounds of six different fingered citron, and a total of 76 aroma compounds were detected in six varieties. Pinene, geraniol, and linalool were found to be the primary VOCs that affect the aroma of fingered citron based on relative odor activity value. The correlation analysis showed 55 positive and 60 negative correlations between the phyllosphere bacterial flora and aroma compounds of fingered citron. The top 10 genera in the relative abundance were all significantly associated with aroma compounds. This study provides deep insight into the relation between bacteria and VOCs of fingered citron, and this may better explain the complexity of the analysis of bacterial and metabolic interactions.