Miracle-dz/UniFAR-FTUs huggingface dataset:
The ALLELOPHATIC POTENTIAL OF WHEAT ROOT EXUDATES ON SEEDS GERMINATION AND SEEDLINGS GROWTH OF WILD MUSTARD (Sinapis arvensis L.)

The experiment was designed with (three replications) of six wheat root exudates concentrations (0, 20, 40, 60, 80 and 100%), were tested on germination and seedling growth of wild mustard. The results showed as wheat root exudates concentration increased, its allelopathic effects on seeds germination and seedling growth rate of Sinapis arvensis also increased. Seed germination and seedling growth of Sinapis arvensis were reduced by increasing wheat root exudates concentration proves that its seeds were sensitive to it. Wheat root exudats at 100% concentration has more significant inhibitory effect on germination and seedling growth. The results demonstrated that usage of allelopathic behavior of wheat root exudates is an impressive method for biological control of wild mustard.
binomialRF: Scalable Feature Selection and Screening for Random Forests to Identify Biomarkers and Their Interactions

24 Background: Feature selection is becoming increasingly important in machine learning as users 25 want more interpretation and post-hoc analyses. However, existing feature selection techniques 26 in random forests are computationally intensive and high RAM memory requirements requiring 27 specialized (uncommon) high throughput infrastructures . In bioinformatics, random forest 28 classifiers are widely used as it is a flexible, self-regulating and self-contained machine learning 29 algorithm that is robust to the “predictors(features) P >> subjects N” problem with minimal 30 tuning parameters. The current feature selection options are used extensively for biomarker 31 detection and discovery; however, they are limited to variants of permutation tests or heuristic 32 rankings with arbitrary cutoffs. In this work, we propose a novel paradigm using the binomial 33 framework for feature selection in random forests, binomialRF, which is designed to produce 34 significance measures devoid of expensive and uninterpretable permutation tests. Furthermore, it 35 offers a highly flexible framework for efficiently identifying and ranking multi-way interactions 36 via dynamic tree programming. 37 Methods: We propose a novel and scalable feature selection technique that exploits the tree 38 structure in the random forest, treats each tree as a binomial stochastic process, and determines 39 feature significance by conducting a one-sided binomial exact test to determine if a feature was 40 detected more often than expected by random chance. Since each tree is an independent and 41 identically distributed random sample in a binomial process (from the perspective of choosing a 42 splitting variable in the root node), the test statistic is constructed based on the frequency of a 43 . CC-BY-NC 4.0 International license is made available under a The copyright holder for this preprint (which was not peer-reviewed) is the author/funder. It . https://doi.org/10.1101/681973 doi: bioRxiv preprint
Algorithmic Principles Of Mathematical Programming

algorithmic principles of mathematical programming is available in our digital library an online access to it is set as public so you can get it instantly. Our book servers hosts in multiple locations, allowing you to get the most less latency time to download any of our books like this one. Merely said, the algorithmic principles of mathematical programming is universally compatible with any devices to read.
Deciphering host-pathogen interactions at the biomembrane interface, key to target therapeutical approaches against Mycoplasma genitalium

Mycoplasma genitalium is a pathologic bacterium that lives in the epithelial cells of the urogenital tracts in humans. It is a sexually transmitted infection with a prevalence that increases drastically. It presents resistance to an increasing number of antibiotics, rendering the most reliable treatment (azithromycin) ineffective. The focus of this project is to find likely therapeutical targets against the infection by M.genitalium to Homo sapiens. For this regard, we analyse the membrane proteome of several strains and near species of M.genitalium and calculate their evolutionary rate. In this project we choose 54 membrane proteomes (5 from M.genitalium and 49 from M.pneumoniae) compromised of 78 to 93 and 116 to 137 proteins respectively. They were inputted to an orthology predictor to obtain groups of orthologous proteins. Those that contained M.genitalium proteins (97 from 136) were aligned and then analysed looking specifically for gaps and identity between the sequences. Of the 97, it was finally decided that 25 were fitted to calculate the nonsynonymous (amino acid– altering) to synonymous (silent) substitution ratio (dN/dS).
TELplus: Aimed at Strengthening, Extending and Improving The European Library Service

Digital Library Systems (DLS) are software applications implementing the functionalities to operate over the (possibly compound) objects of a Digital Library. In the past, the development of DLSs has been mainly characterised by a from-scratch approach. Only in the recent period Digital Library System developers started adopting Digital Library Management Systems (DLMS), special software systems easing the development process by supporting facilities common to DLSs. The Digital Library community has not yet reached a formal agreement on the detailed functionality these systems must implement in terms of content management support. This work focuses on the foundational aspects of content management for DLMSs by discussing a data model whose novelty is that of (i) identifying modeling primitives capable of expressing the nature of the compound objects of any DLS and (ii) re-introducing the notion of object type as a mean of supporting safe, optimized and efficient DLS implementations. The model will inspire the realization of the first DLMS supporting the expressiveness of compound objects and the traditional capabilities of static typing.
Pengaruh Kadar Glukosa Darah Saat Masuk dengan Keluaran Fungsional pada Pasien Stroke Iskemik Akut Non Diabetik di RSUD Dr. Abdul Aziz Singkawang

Latar Belakang. Stroke merupakan penyebab kecacatan utama dan terbanyak pada usia dewasa. Peningkatan kadar glukosa darah (>140 mg/dl) saat masuk adalah hal yang umum terjadi pada pasien stroke iskemik akut dengan/tanpa riwayat Diabetes Mellitus. Kadar glukosa darah yang tinggi saat masuk dikatakan berhubungan dengan keluaran fungsional yang buruk pada pasien stroke iskemik akut. Tujuan. Penelitian dilakukan untuk melihat pengaruh kadar glukosa darah saat masuk dengan keluaran fungsional pada pasien stroke iskemik akut non diabetik. Metodologi. Penelitian ini merupakan penelitian observasional desain kohort prospektif yang mencari korelasi antar-variabel. Jumlah sampel 33 orang pasien stroke iskemik akut non diabetik di RSUD dr. Abdul Aziz Singkawang, diambil dengan tehnik consecutive sampling. Data penelitian diambil dari rekam medis dan penilaian dengan lembar skor NIHSS pada hari pertama dan ketujuh. Hasil penelitian dianalisis dengan uji statistik Fisher dan uji korelasi Spearman. Hasil. Didapatkan korelasi negatif bermakna antara kadar glukosa darah saat masuk dengan keluaran fungsional pada pasien stroke iskemik akut non diabetik (r= -0,463, p=0,007). Semakin tinggi kadar glukosa darah saat masuk, semakin rendah keluaran fungsional pada pasien stroke iskemik akut non diabetik. Kesimpulan. Kadar glukosa darah saat masuk yang tinggi (>140 mg/dl) memiliki pengaruh buruk terhadap keluaran fungsional pada pasien stroke iskemik akut non diabetik.
Robust techniques for evaluating biometric cryptographic key generators

Humans are unable to generate and remember strong secrets, and thus have difficulty managing cryptographic keys. To address this problem, numerous proposals have been suggested to enable people to reliably generate high-entropy cryptographic keys from measurements of their physiology or behavior. Typically, evaluators argue that these Biometric Cryptographic Key Generators (BKGs) achieve some notion of security, for example, that the biometric input resists forgery, or that the keys have high entropy. Unfortunately, despite these arguments, many BKGs succumb to attacks in practice. The goal of this work is to understand why typical security arguments fail to identify practical attacks. We revisit the security requirements of BKGs and show that common arguments overlook practical subtleties. We provide examples of such oversights by examining three general classes of adversaries. First, we study the impact of humans who can replicate other users' biometrics with high accuracy, and demonstrate why typical evaluation techniques fail to identify these forgers. Second, we explore Generative techniques that combine information about a target user with population statistics to create forgeries. We show that these forgeries can subvert BKGs with high likelihood. Third, we propose an algorithm that probabilistically enumerates the key space of a BKG to find a target user's key. We analyze two BKGs, and show that for each, our algorithm has at least a 15% chance of predicting ostensibly 40-bit keys on its first guess. Our exposition brings to the forefront practical ways of thinking about BKG security, and provides a framework for evaluators to study BKGs with adversarial techniques. Finally, we present Randomized Biometric Templates (RBTs), a BKG that outputs keys with at least as much entropy as keys derived from passwords. RBTs extract entropy not only from biometric inputs, but also from a novel source: how these inputs are measured. Analysis with our strengthened evaluation techniques show that for some users, RBTs result in dramatically stronger keys. In our experiments, 40% of the users were able to generate keys that were at least 230 times stronger than keys derived from passwords alone.
Discerning relevant information in discourses using TFA

Discourses, whether written or spoken, are intended to convey information. Obviously, it is important to the processing of discourses that one is able to recognize the information that is relevant. The need for a criterion for relevance of information arises out of the idea of developing a tool assisting in the extraction of de nitions from philosophical discourses (PAPER/HCRAES-projects). A way to analyse a discourse with regard to the information expressed in it, is to observe the Topic-Focus Articulation. A topic of (part of) a discourse can be conceived of as already available information, to which more information is added by means of one or more foci. Several topics and foci of a discourse are organized in certain structures, characterized by a thematical progression (\story-line"). The theories about TFA and thematic progression have been developed by the Prague School of Linguistics. In order to discern the relevant information in a discourse, we try to establish the thematic progression(s) in a discourse. It will turn out that it is important, not only how topics and foci relate to each other with regard to the thematic progression (sequentially, parallelly, etc.), but also how the topics and foci are related rhetorically (e.g. by negation). In this paper we shall come to de ning the way in which the information structure of a discourse can be recognized, and what relevant information means in this context.
Mammal Biochronology (Land Mammal Ages) Around the World From Late Miocene to Middle Pleistocene and Major Events in Horse Evolutionary History

Biochronology is important to vertebrate chronology because the primary temporal units developed and applied by vertebrate paleontologists for correlation of terrestrial deposits (Land Mammal Ages, LMA) are all biochronologic units. Specific mammal biochronologic scales have been developed for Europe (MN units or ELMA), Asia (ALMA), North America (NALMA) and South America (SALMA). Each timescale is based on land mammal first appearances and characteristic associations on different continental landmasses. Herein, we summarize and review the bases for recognizing mammalian biochronologic units with the most recent update of the Land Mammal Ages. We correlate these ages with the global magnetochronostratigraphic and geochronologic time scales including the major equid evolutionary events of the last 8 million years.
Study on three-dimension path planning for unmanned aircraft vehicle

Path planning is essential for both UAVs and mission planning system.This paper proposes a three-dimension path planning algorithm based on a hybrid of an improved voronoi diagram algorithm and a dynamic A algorithm for a fixed-point.The proposed algorithm plans a two-dimension path by the improved voronoi diagram method,and then presents a three-dimension path coinciding with the flight constraints of UAVs by referring to the former two-dimension path.Experiments highlight the efficiency of the path planning method.
Evaluating methods of coordination for family-to-family communication

iii 1.0 Introduction . 1 1.1 What is TA2? 1 1.2 It’s about time . 2 1.3 Need for finding time . 3 2.0 Finding an optimum solution for finding time . 4 2.1 Existing Solutions . 4 2.2 Human Factors Design Methods . 6 3.0 Task analysis of scheduling a meeting . 9 4.0 Scheduling methods: Task allocations for finding time . 11 4.1 Memory Matching Method . 12 4.2 Visual Matching Method . 13 4.3 System Matching Method . 14 5.0 Experimental Evaluations . 16 6.0 Methodology . 17 6.1 Design . 17 6.2 Participants . 19 6.3 Apparatus . 19 6.4 Procedure . 21 6.5 Measurements . 21 7.0 Results . 22 7.1 Usability . 22 7.2 Efficiency . 23 7.3 User preference . 24 8.0 Discussion . 26 9.0 References . 29 Acknowledgements . 31 Appendix A: Differences between easy and hard tasks . 32 Appendix B: Schedule for easy tasks . 33 Appendix C: Schedule for hard tasks . 34 Appendix D: Questionnaire . 35
Why future supercomputing requires optics

There are points in time at which a well-known technology, which has been used and gradually improved for decades, reaches its physical limitations, forcing a shift towards dramatically diff erent technology. Automobiles, television, computers, photography and communication are all domains in which such shift s have occurred. Th e point at which these massive shift s in technology occur is oft en decades aft er the initial invention and oft en requires substantial investment. Th e time is fast approaching for such a shift in computer technology, as the frequency (bandwidth) limitations of silicon electronics and printed metallic tracks are reached. Th e computer industry has already acknowledged the situation by introducing multicore technology which implicitly recognizes the use of a distributed and parallel architecture to scale computer power. For decades, optics have proved to be the best means of conveying information from one point to another, as can clearly be seen by the growth of the massive fi bre optics communications industry. Th e fact that light beams can be easily transmitted in parallel in free space, and do not suff er from crosstalk, is of great importance. Th e fabrication of multicore chips requires fast buses to connect cores, and new designs are considering the use of optical interconnects to aid reliable and fast communication1. Indeed, the fi rst steps towards commercializing the use of optics for communication among cores were recently reported by fi rms such as Intel and Avago, among others2–5. But optical technology also has the opportunity to go beyond being just a convenient pipe for ultrafast data transmission, and actually perform data processing. Given that the basic computing element of a computer is a transistor — an electronic switching element — and that great progress has been made in alloptical switching and logic, there is an opportunity to avoid light-to-electronics and electronics-to-light conversions in the design of all-optical computers. It is important to note that the design of optical computers does not necessarily have to mimic the design of the electronic computer, just as the design of electronic computers did not mimic the design of mechanical computing devices. Optics implies a new means for the application of parallelism, with many beams in space representing individual computations. Recently, attempts to produce industrial-scale optical processing devices have been partially successful6. In addition, recent research activity in academia7–10, and the United States government contract reviews from the Air Force and from DARPA, are clear signs for great excitement in the fi eld. Th e widely accepted Strong Church– Turing thesis asserts that anything can be computed by a digital computer. Accepting this suggests that optics off ers no new computational capability. To be useful, the best that optics can do is to accomplish the same goals as digital electronics, but in a more effi cient or advantageous manner. Th e advantage could be in speed, Input vector VCSEL array Output vector detector array Matrix SLM
The Anti-Inflammatory Effects of CXCR5 in the Mice Retina following Ischemia-Reperfusion Injury

Object Retinal ischemia-reperfusion (I/R) injury is a common pathological process in many ophthalmic diseases; there are no effective therapeutic approaches available currently. Increasing evidence indicates that microglia mediated neuroinflammation plays an important role in the retinal I/R injury. In this study, we aimed to investigate the roles of chemokine receptor CXCR5 in the pathological process of retinal I/R injury model. Method Retinal I/R injury model was established in CXCR5 knockout and wild mice by the acute elevation of intraocular pressure (AOH) for 60 minutes, and the eyes were harvested for further analyses. The cellular location of CXCR5 was detected by immunofluorescence staining; the expressions of CXCR5 and CXCL13 after I/R injury were analyzed by quantitative RT-PCR. The retinal microglia were detected as stained for Iba1 (+). Leakage of inflammatory cells was observed on the H&E stained cryosections. The protein expression and quantification of zonula occludens (ZO-1) were determined by Western blotting and densitometry. Capillary degeneration was identified on the intact retinal vasculatures prepared by trypsin digestion. Results The number of activated microglia marked by Iba1 antibody in the retina was increased after retinal I/R injury in both KO and WT mice, more significant in KO mice. The leakage of inflammatory cells was observed largely at 2 days after injury, but there was no or little leakage at 7 days. The number of inflammatory cells (mainly neutrophils) was greater in CXCR5 KO mice than in WT mice, mainly located under internal limiting membrane. CXCR5 deficiency led to more ZO-1 degradation in CXCR5 KO mice compared to C57BL6 WT mice 2 days after reperfusion. The cellular capillaries were also significantly increased in the KO mice compared to the WT mice. Conclusion Our findings suggest that the chemokine receptor CXCR5 may protect retina from ischemia-reperfusion injury by its anti-inflammatory effects. Thus, CXCR5 may be a promising therapeutic target for the treatment of retinal I/R injury.
Role of thromboelastography in clinical emergency trauma patients

This study aimed to investigate dynamic changes in thromboelastography (TEG) and evaluate its value for emergency trauma patients. TEG values (R, K, Angle, MA and CI) were detected l, 3, and 7 days post trauma. Followup prognosis data were recorded among all patients and correlations between TEG changes and prognosis were assessed. The results revealed that the K and R volumes of the poor prognosis group were obviously higher than those of the good prognosis group at each time point; while the Angle, MA, and CI volumes of the poor prognosis group were relatively lower than those of the good prognosis group, and showed a little rising tendency. This study suggests that variables measured by TEG were closely associated with prognosis evaluation, and highlighted the dangers of coagulation disorder at early stage. TEG is of benefit in evaluating the function of coagulation in clinical emergency trauma patients.
Observing System Evaluation Based on Ocean Data Assimilation and Prediction Systems: On-Going Challenges and a Future Vision for Designing and Supporting Ocean Observational Networks

This paper demonstrates the value of Observing System Evaluation (OS-Eval) efforts which have been made or are ongoing to contribute to observing system review and design with the support of Ocean Data Assimilation and Prediction (ODAP) communities such as GODAE OceanView and CLIVAR-GSOP, by highlighting examples that illustrate the potential of the related OS-Eval methodologies and recent achievements. For instance, Observing System Experiment (OSE) studies illustrate the impacts of the severe decrease in the number of TAO buoys during 2012-2014 and TRITON buoys since 2013 on ODAP system performance. Multi-system evaluation of the impacts of assimilating satellite sea surface salinity data based on OSEs has been performed to demonstrate the need to continue and enhance satellite salinity missions. Impacts of underwater gliders have been assessed using Observing System Simulation Experiments (OSSEs) to provide guidance on effective coordination of the western North Atlantic observing system elements. OSSEs are also being performed under H2020 AtlantOS project with the goal to enhance and optimize the Atlantic in-situ networks. Potential of future satellite missions of wide-swash altimetry and surface ocean currents monitoring is explored through OSSEs and evaluation of Degrees of Freedom for Signal (DFS). Forecast Sensitivity Observation Impacts (FSOI) are routinely evaluated for monitoring the ocean observation impacts in the US Navy’s ODAP system. Perspective on the extension of OS-Eval to the deep ocean, polar regions, coupled data assimilation, and biogeochemical applications are also presented. Based on the examples above, we identify the limitations of OS-Eval, indicating that the most significant limitation is reduction of robustness and reliability of the results due to their system-dependency. Inability of performing evaluation in near real time is also critical. A strategy to mitigate the limitation and to strengthen the impact of evaluations is discussed. In particular, we emphasize the importance of collaboration within the ODAP community for multi-system evaluation and communication with ocean observational communities on the design of OS-Eval, required resources, and effective distribution of the results. Finally, we recommend to further develop OS-Eval activities at international level with the support of the international ODAP (e.g., OceanPredict and CLIVAR-GSOP) and observational communities.
Testis single-cell RNA-seq reveals the dynamics of de novo gene transcription and germline mutational bias in Drosophila

The testis is a peculiar tissue in many respects. It shows patterns of rapid gene evolution and provides a hotspot for the origination of genetic novelties such as de novo genes, duplications and mutations. To investigate the expression patterns of genetic novelties across cell types, we performed single-cell RNA-sequencing of adult Drosophila testis. We found that new genes were expressed in various cell types, the patterns of which may be influenced by their mode of origination. In particular, lineage-specific de novo genes are commonly expressed in early spermatocytes, while young duplicated genes are often bimodally expressed. Analysis of germline substitutions suggests that spermatogenesis is a highly reparative process, with the mutational load of germ cells decreasing as spermatogenesis progresses. By elucidating the distribution of genetic novelties across spermatogenesis, this study provides a deeper understanding of how the testis maintains its core reproductive function while being a hotbed of evolutionary innovation.