Miracle-dz/UniFAR-FTUs huggingface dataset:
Management of Intellectual Capital Development of an Organization Based on the System Contradictions Between its Elements

The paper aims to research intellectual capital elements composition with the consequent study of emerging contradictions, which allows obtaining the system picture of intellectual capital, its functioning mechanism, and applicability as a factor that forms and develops the knowledge-based economy. The author's approach to managing the development of intellectual capital, based on the usage of categorial-system methodology, is proposed as a key approach to solving the problem. With the help of a simple compensatory homeostat model, it is shown that successful development of intellectual capital is a product of efficient resolution of a conflict between two composing elements of the system object. The elements, being unstable by themselves, provide stability for the whole system. The applied model allowed getting knowledge about intellectual capital self-regulation mechanism, which is based on cross-interaction between two of its components. Considering possible combinations of feedback types, the feasible components’ interaction modes have been determined. Possible development paths for intellectual capital, depending on the intercommunication mode types of the interaction, have been revealed. The paper materials could be used to form complex of program tools for federal, regional and local authorities, aiming to transform the social economic system and advance towards a knowledge-based economy.
3D Microscopy Deconvolution using Richardson-Lucy Algorithm with Total Variation Regularization

Confocal laser scanning microscopy is a powerful and increasingly popular technique for 3D imaging of biological specimens. However the acquired images are degraded by blur from out-of-focus light and Poisson noise due to photon-limited detection. Several deconvolution methods have been proposed to reduce these degradations, including the Richardson-Lucy iterative algorithm, which computes a maximum likelihood estimation adapted to Poisson statistics. However this algorithm does not necessarily converge to a suitable solution, as it tends to amplify noise. If it is used with a regularizing constraint (some prior knowledge on the data), Richardson-Lucy regularized with a well-chosen constraint, always converges to a suitable solution. Here, we propose to combine the Richardson-Lucy algorithm with a regularizing constraint based on Total Variation, whose smoothing avoids oscillations while preserving object edges. We show on simulated and real images that this constraint improves the deconvolution results both visually and using quantitative measures. We compare several well-known deconvolution methods to the proposed method, such as standard Richardson-Lucy (no regularization), Richardson-Lucy with Tikhonov-Miller regularization, and an additive gradient-based algorithm.
CARTILAGE MECHANOBIOLOGY AND TRANSCRIPTIONAL EFFECTS OF COMBINED MECHANICAL COMPRESSION AND IGF-I STIMULATION ON BOVINE CARTILAGE EXPLANTS

Background: Investigators have focused on mechano-regulation of upstream signaling and responses at the level of gene transcription, protein translation and posttranslational modifications. Intracellular pathways including those involving integrin signaling, mitogen activated protein kinases (MAPKs), and release of intracellular calcium have been confirmed in several laboratories. Studies with IGF-1: Insulin-like growth factor-I (IGF-1) is a potent anabolic factor capable of endocrine and paracrine/autocrine signaling. Previous studies have demonstrated that mechanical compression can regulate the action of IGF-1 on chondrocyte biosynthesis in intact tissue; when applied simultaneously, these stimuli act by distinct cell activation pathways. Our objectives were to elucidate the extent and kinetics of the chondrocyte transcriptional response to combined IGF-1 and static compression in cartilage explants. Discussion: Clustering analysis revealed five distinct groups. TIMP-3 and ADAMTS-5, MMP-l and IGF-2, and IGF-1 and Collagen II, were all robustly co-expressed under all conditions tested. In comparing gene expression levels to previously measured aggrecan biosynthesis levels, aggrecan synthesis is shown to be transcriptionally regulated by IGF1, whereas inhibition of aggrecan synthesis by compression is not transcriptionally regulated. Conclusion: Many genes measured are responsive the effects of IGF-1 under 0% compression and 50% compression. Clustering analysis revealed strong co-expressed gene pairings. IGF-1 stimulates aggrecan biosynthesis in a transcriptionally regulated manner, whereas compression inhibits aggrecan synthesis in a manner not regulated by transcriptional activity. Acknowledgements I want to thank my advisor, Alan Grodzinsky for all the help he has given me in editing and guiding my research. His open personality and approach to research has given me an opportunity to explore my ideas. Also many thanks to Jon Fitzgerald who trained and helped develop my thinking and technique. His patience and help in the teaching process were invaluable. And many thanks to my family and special friends,
Lexical Disambiguation (CKBD): A Tool to Identify and Resolve Semantic Conflicts Using Context Knowledge

The schema matching process is a fundamental step in a schema integration system, and its quality impacts the overall performance of the system. Recently, a large number of schema matching approaches have been developed. Until today, the performance of schema matching is inherently uncertain and requires improvement. The most difficult task is inferring the real-world semantics of data from the information provided by schema labels in their representations. Usually, schemas with identical semantics are represented by different vocabularies and only their own designers can completely understand. A schema may contain synonyms and homonyms words. Therefore, it is necessary to understand how the schema elements are "presented"; it is often hard to get aware meaning associated with elements names, due to the semantic ambiguity of human language. Semantic ambiguity problem means the capability of being understood in two or more possible senses. Having more than one meaning for an individual schema element would cause confusion in interpretation of schema name. This may affect negatively on the matching result. Therefore, this paper aims to resolve this problem of semantic ambiguity and represent the intended meaning of the schema labels name, by introducing the CKBD (Context Knowledge-Based Disambiguation) approach. The CKBD is obtained by integrating two pieces of context knowledge: semantic domain and more frequency used into a disambiguation processor. Finally, the CKBD is implemented and is tested in a real dataset. The result is deeply grounded in the ability to detect schema name intended meaning.
Cluster-based Performance Analysis of Sensor Distribution Strategies on a Wireless Sensor Network

— Since the placement of sensor nodes has a direct effect on its performance, this paper explores three predefined configurations in order to compare their power consumption performance. The experiments assume an obstacle free, rectangular field, with a cluster-based routing protocol and the event location in the field. The results demonstrated the different significant behaviors of the placement strategies in a cluster-based scenario.
Antibacterial Dynamics Of Mucor Species Against Multi-Drug Resistant Bacterial Species

: These Emergence of antibiotic resistance in pathogens poses difficulties in treatment of bacterial infection. So discovery and development of alternative antibiotics is a need of hour. Present study was designed to screen Mucor species for antibacterial activity against multi-drug resistance bacterial pathogens. Mucor isolated from animal rations (n=30) were screened for toxin production by thin layer chromatography (TLC). Non-toxigenic isolates were confirmed by polymerase chain reaction (PCR). The cell free supernatants (CFS) of isolates (n=10) were evaluated against characterized multi-drug resistant bacteria; Staphylococcus aureus, Bacillus cereus, pseudomonas aeruginosa and Escherichia coli. Seven days old cell free supernatants of Mucor species was evaluated for antibacterial activity by agar well diffusion and minimum inhibitory concentration (MIC) was determined by micro-broth dilution method. One among nine non-toxigenic Mucor species revealed antibacterial activity against MDR-bacteria with mean zone of inhibitions 8.00± 1.00, 12.00± 1.00, 7.00± 1.00 and 11.00± 1.00 for MDR Escherichia coli, S.aureus, B.cerus and P.aeruginosa respectively. The lowest MIC (6.25µL / mL) determined against MDR-S.aureus followed by 12.5 µL / mL for MDR Escherichia coli, Bcerus and P.aeruginosa. Cytotoxicity evalution on Vero cell line indicated that Mucor e ≤ 6. 25µL / mL is a safe concentration. It is concluded that Mucor specie have antibacterial potential against MDR-bacterial isolates.
DigitalCommons@University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Urea Inclusion in Distillers Dried Grains Supplements Urea Inclusion in Distillers Dried Grains Supplements

Two experiments evaluated the inclusion of urea in distillers dried grains supplements. In Exp. 1, 60 Angus heifers (278 ± 16 kg) were individually fed diets consisting of 58% ground corn cobs, 12% sorghum silage, and 30% distillers dried grains (DM basis) in Calan elec-tronic gates. Urea replaced distillers dried grains at 0, 0.4, 0.8, 1.2, or 1.6% of diet DM. In Exp. 2, 48 crossbred heifers were fed meadow hay ad libitum and 1.4 kg (DM) distillers dried grains to which was added either 0 or 45 g urea/ heifer daily. In both experiments, no response in animal weight gain or feed efﬁciency was observed when urea was added to the diet. Based on retrospective NRC (1996) model analysis of diets, metabolizable protein was in excess of requirements. Lack of response in animal performance may indicate lack of rumen degradable protein deﬁciency or sufﬁcient N recycling to correct a rumen degradable protein deﬁciency. These studies indicate adding urea to distillers dried grains is not necessary when fed as a supplement in forage-based diets.
Voltage Regulation in Power System using Robust Controlled CMLI STATCOM

FACTS devices are widely used in power system for many applications such as reactive power compensation, voltage control, stability etc. STATCOM is one of the FACTS devices particularly employed for voltage regulation by controlling reactive power in the power system. In this paper, a seven-level cascaded multilevel inverter has been used as voltage source for STATCOM. For producing output voltage with minimum harmonic distortion, switching angles for the operation of H-bridges of cascaded multilevel inverter have been calculated using optimized switching scheme. The PI controller is designed for the indirect controlled STATCOM to control the voltage in power system and the performance of controller is studied by varying the load while keeping the source voltage constant and vice-a-versa. An advanced control technique is implemented and its performance is compared with PI controller. In the advanced technique, two phase lead compensators are added in the voltage feedback loop according to variations in the power system voltage. It has been observed that there is a considerable improvement in the voltage profile with advanced control technique. The MATLAB environment has been used for the implementation of control scheme.
Edinburgh Explorer State-of-the-Art Techniques and Challenges Ahead for Distributed Generation Planning and Optimization

 Abstract —It is difficult to estimate how much distributed generation (DG) capacity will be connected to distribution systems in the coming years, however, it is certain that increasing penetration levels require robust tools that help assess the capabilities and requirements of the networks in order to produce the best planning and control strategies. The work of this Task Force is focused on the numerous strategies and methods that have been developed in recent years to address DG integration and planning. This paper contains a critical review of the work in this field. Although there have been numerous publications in this area, widespread implementation of the methods has not taken place. The barriers to implementation of the advanced techniques are outlined, highlighting why network operators have been slow to pick up on the research to date. Furthermore, key challenges ahead which remain to be tackled are also described, many of which have come into clear focus with the current drive towards smarter distribution networks.
Climate change impacts on cacao: genotypic variation in responses of mature cacao to elevated CO2 and water deficit genotypic variation

: Climate change poses a signiﬁcant threat to agricultural production in the tropics, yet relatively little research has been carried out to understand its impact on mature tropical tree crops. This research aims to understand the genotypic variation in growth and photosynthesis in mature cacao trees in response to elevated CO 2 and water deﬁcit. Six genotypes were grown under greenhouse conditions at ambient (ca. 437 ppm) and elevated CO 2 (ca. 724 ppm) and under well-watered and water deﬁcit conditions for 23 months. Leaf- and canopy-level photosynthesis, water-use efﬁciency, and vegetative growth increased signiﬁcantly in response to elevated CO 2 . Water deﬁcit had a signiﬁcant negative effect on many photosynthetic parameters and signiﬁcantly reduced biomass production. The negative effect of water deﬁcit on quantum efﬁciency was alleviated by elevated CO 2 . Genotypic variation was observed in several parameters including stomatal conductance, stomatal density and index, quantum efﬁciency, and biomass production, indicating the potential to develop more climate-change-resilient genotypes that can cope with predicted future climate change conditions. Elevated CO 2 reduced some of the negative effects of water deﬁcit through changes in water-use efﬁciency and light utilisation and reduced the negative impact of water deﬁcit on biomass accumulation, but this was genotype-speciﬁc.
TUBERCULOUS CERVICAL LYMPHADENITIS, THE “DANGEROUS MASQUERADER”: ANOTHER UNUSUAL PRESENTATION

Tuberculous Cervical Lymphadenitis is the most common manifestation of extra-pulmonary tuberculosis. The disease has been known since antiquity and normally presents with neck masses. It has been referred to as ―the great masquerader‖ as it is known to mimic several other pathologies, often constituting a diagnostic challenge. We report a patient who presented early but uncharacteristically with an acute febrile illness and initially without a neck mass. He proceeded to develop painful bilateral neck masses which assumed appreciable proportions in only a couple of weeks, thus mimicking an acute inflammatory neck mass. Tuberculosis was suspected early, but diagnosis could not be confirmed as the initial laboratory investigations (tuberculin skin test, staining for Acid Fast Bacilli and Fine Needle Aspiration Cytology) could not confirm the diagnosis. Since there was a high index of suspicion, however, the patient was eventually placed on a therapeutic trial of anti-tuberculosis medication. Diagnosis was later confirmed with a culture of Mycobacterium tuberculosis and treatment for extra-pulmonary tuberculosis was completed. The response was dramatic and the lesion resolved completely without need for further surgical intervention. This case emphasizes the need for openness to unusual modes of presentation, a sustained high index of suspicion, thorough evaluation and the need for a multidisciplinary approach in the diagnosis and management of tuberculous cervical lymphadenitis.
Anorexia Nervosa and Bone Disease

Anorexia Nervosa (AN) is a psychiatric disorder with serious medical complications. AN affects 0.3% of young women and 0.1% of men. More than half of women and about a third of men with AN develop osteopenia or osteoporosis and their lifetime fracture prevalence is 60% higher than healthy women. Multiple factors are involved in bone disease in AN: nutrition, hormonal alterations (hypogonadism, growth hormone system alterations, adrenal axis modifications, thyroid axis modifications, alterations in appetite regulatory peptides, amylin and related peptides) and excessive exercise. Furthermore there are genetic factors that contribute to modify the risk of bone disease. All patients with AN should be assessed by DEXA at diagnosis and every 1-2 years depending on the results of the evaluation. Their calcium and vitamin D intakes should also be determined. The most effective way to normalize bone mass in patients with anorexia nervosa is to improve the state of malnutrition and gonadal function. Treatments that have shown to be effective in the treatment of low bone mineral density in AN are: oral contraceptives combined with IGF-1 or with DHEA, physiologic transdermal estrogen replacement, bisphosphonates and teriparatide. hematologic, metabolic and endocrine symptoms are a direct result of the reduction of intake and consequent malnutrition. They show several hormonal changes due to hypothalamic dysfunction and malnourishment, which in most cases improve with the weight recovery. Bone disease, osteoporosis or osteopenia, is present in more than half of the patients with AN, especially if they are amenorrheic. Patients with AN are a heterogeneous group regarding their psychiatric condition. Some of them show disordered eating behaviors without any other psychopathology and some other show complex disorders with serious comorbidities and high suicide risk. Mood, anxiety, psychotic and obsessive-compulsive disorders are more prevalent in patients with anorexia nervosa compared with general population. Most frequent psychiatric symptoms are depressed mood, irritability, social withdrawal and anxiety symptoms. These symptoms, mainly anxiety, usually worsen in relation to meal times
WHISPERING-GALLERY MODE SHIFTS WITH DIELECTRIC MATERIALS IN THE EVANESCENT FIELD OF A RESONATOR

The resonance frequencies of whispering gallery mode resonator (WGMR) are a↵ected by various parameters such as temperature, pressure or an interaction of a dielectric material with the evanescent of the WGMs. Here, we investigate a frequency detuning method based on moving a dielectric substrate towards the WGMR. As long as the dielectric substrate has not touched the resonator, the detuning will undergo an exponential change as the distance decreases. This technique can be used for dielectric material analysis and sensing due to the shifts of the whispering gallery modes. Furthermore, if the dielectric substrate applies a pressure on the WGMR, it can change the mode frequency in the range of few GHz. We characterize this tuning method and its potential use as a continuous frequency tuning mechanism for nonlinear optical processes in the WGMR.
RNA Polymerase I-Speciﬁc Subunit CAST/hPAF49 Has a Role in the Activation of Transcription by Upstream Binding Factor

Eukaryotic RNA polymerases are large complexes, 12 subunits of which are structurally or functionally homologous across the three polymerase classes. Each class has a set of speciﬁc subunits, likely targets of their cognate transcription factors. We have identiﬁed and characterized a human RNA polymerase I (Pol I)-speciﬁc subunit, previously identiﬁed as ASE-1 (antisense of ERCC1) and as CD3 (cid:1) -associated signal transducer (CAST), and here termed CAST or human Pol I-associated factor of 49 kDa (hPAF49), after mouse orthologue PAF49. We provide evidence for growth-regulated Tyr phosphorylation of CAST/hPAF49, speciﬁcally in initi-ation-competent Pol I (cid:2) complexes in HeLa cells, at a conserved residue also known to be important for during T-cell activation. CAST/hPAF49 can interact with activator upstream binding factor (UBF) and, weakly, with selectivity factor 1 (SL1) at the rDNA (ribosomal DNA repeat sequence encoding the 18S, 5.8S, and 28S rRNA genes) promoter. CAST/hPAF49-speciﬁc antibodies and excess CAST/hPAF49 protein, which have no effect on basal Pol I transcription, inhibit UBF-activated transcription following functional SL1-Pol I-rDNA complex assembly and disrupt the interaction of UBF with CAST/hPAF49, suggesting that interaction of this Pol I-speciﬁc subunit with UBF is crucial for activation. Drawing on parallels between mammalian and Saccharomyces cerevisiae Pol I transcription machineries, we advance one model for CAST/ hPAF49 function in which the network of interactions of Pol I-speciﬁc subunits with UBF facilitates confor- mational changes of the polymerase, leading to stabilization of the Pol I-template complex and, thereby, activation of transcription.
The Impact of 1:1 Laptop Environments on the English Language Arts Achievement of Fifth Grade Students from Diverse Socio-Economic Backgrounds

This quantitative study extends previous research on the impact of one to one (1:1) laptop environments on student outcomes in English Language Arts (ELA) by focusing on students from various socio-economic backgrounds, while using a new technology-enhanced, stateadministered assessment to measure performance. This study is significant because policy makers focus on state test scores when planning educational investments. Therefore, results from this study can assist policy makers in determining best practices related to technology integration to ensure equitable opportunities for all students. A non-experimental ex post facto causal comparative research design was used to explore the impact of 1:1 laptops on the ELA achievement of fifth grade students from various socio-economic backgrounds using a stateadministered technology enhanced assessment. The target population included fifth grade students attending public schools within five different school systems located in a northeastern state that took the Partnership for Assessment of Readiness for College and Careers (PARCC) assessment during the 2015-2016 school year. The sample size was 400 students. To measure ELA achievement, data from the 2015-2016 PARCC assessments was collected along with demographic information on socio-economic status. A two-way ANOVA revealed a significant difference in the dependent variable (ELA PARCC scores) based on social economic status (FARMS vs. Non-FARMS). However, no significant difference was found in the dependent variable based on learning environment (1:1 laptop vs. not 1:1 laptop), and no significant interaction was found between learning environment and socio-economic status on PARCC ELA scores. Recommendations for future research are provided.
An Hybrid Intrusion Detection Approach based on SVM Classification and k-NN

Communication of information between various organizations to maintain a high-level security to ensure safe and trusted communication is very important. Nowadays in internet secure data communication is not may be possible and other network also. There is thread of intrusion and misuses are occurs in any kinds of networks. We need to detect and recognize these threads and prevent cyber-attacks. In this paper IDS (Intrusion Detection System) using a SVM classifier (Support Vector Machine) and to prevent the network attacks like probe attacks , DoS denial of service, R 2 L remote to user ,U 2 R user to root attacks using SSP (Sniffer and Snooping Process). Intrusion Detection has been an essential countermeasure to secure registering frameworks from noxious attacks. To enhance detection execution and decrease predisposition towards visit attacks, this paper proposes a hybrid strategy in view of SVM classification and k-NN procedure. Trial comes about show that the proposed strategy beats baselines regarding different assessment criteria. Specifically, for U2R and R2L attacks, the F1-scores of the proposed technique are substantially higher than those of baselines. Besides, comparisons with some ongoing hybrid approaches are additionally recorded. The outcomes show that the proposed strategy is focused.