Miracle-dz/UniFAR-FTUs huggingface dataset:
Correlation between Seminal Fluid Analysis and Levels of Gonadotropins in Serum and Seminal Plasma of Normozoospermic Men and Infertile Patients

Background: Levels of serum gonadotropins have direct effects on testicular functions and spermatogenesis. Assessment of levels of serum gonadotropins from fathered subjects and infertile patients indicates wide range diversity. In this study, we tried to find out whether the levels of seminal FSH and LH affect the parameters of seminal fluid analysis (SFA) and if there is any correlation between levels of serum FSH and LH in healthy men and infertile patients. Materials and Methods: Levels of FSH and LH in serum and seminal plasma were assessed randomly, in addition to examination of seminal fluid analysis from 12 normozoospermic subjects (age range: 33-56 years) and 66 infertile patients (age range: 20-62 years) with duration of infertility (15-201 months). Macroscopic and microscopic parameters of semen specimens were determined. Data were statistically analyzed using multiple correlation and regression, and MANOVA tests. Results: Result of the present study observed significant positive correlation between FSH levels in serum and seminal plasma (r=0.984; p<0.001) of normozoospermic subjects as compared to other groups of infertile patients. No correlations were noticed between LH levels in serum and seminal plasma of normozoospermic subjects and groups of infertile patients. Significant and positive correlation was assessed between sperm concentration and levels of seminal FSH (r=0.822; p<0.05 and r=0.940; p<0.01) and seminal LH (r=0.989; p<0.001 and r=0.999; p<0.001) of asthenozoospermic and OAT patients respectively. In asthenozoospermic patients, significant and positive correlations were observed between seminal FSH and percentages of sperm motility, progressive motility, sperm normal morphology and total progressive motile sperm/ejaculate. Conclusion: This study shows a strong association and effect between seminal FSH and serum FSH and parameters of SFA for normozoospermic men and different groups of infertile patients. These finding may call for large cohorts being executed with larger population of patients that is required for this analysis to be more accurate.
A NOVEL NETWORK ASSURED FUTURE: CONCERNS AND APPLICATIONS

Secure Network has now grown to be a need of any organization. The safety threats are increasing day with the aid of day and making high pace wired/wireless community and web services, insecure and unreliable. Now – a - days protection measures works extra importantly closer to pleasant the cutting edge needs of today’s developing industries. The need is also brought about in to the areas like defense, where impenetrable and authenticated get right of entry to of assets are the key issues associated to data security. In this paper Author has described the vital measures and parameters involving large industry/organizational requirements for establishing a impervious network. Wi-Fi networks are very common in imparting wireless community get right of entry to to different assets and connecting a variety of units wirelessly. There are want of unique requirements to take care of Wi-Fi threats and network hacking attempts. This paper explores vital security measures related to distinctive community scenarios, so that a absolutely secured network surroundings may want to be installed in an organization. Author also has discussed a case learn about to illustrate the minimal set of measures required for establishing community security in any company.
Stochastic Modeling of Magnetic Properties by Using Random Fields Stochastische Modellierung von magnetischen Materialeigenschaften mit Zufallsfeldern

This thesis is related to modeling uncertainties in magnetic properties of ferromagnetic materials which occur due to, e.g., manufacturing imperfections. The modeling procedure is based on the random field approach. The Karhunen-Loève expansion is used to approximate random fields with a minimal number of random variables in mean square sense. Two main cases are covered. First, magnetic hysteresis is taken into account and uncertainties are modeled by introducing the concept of multivariate random field. Second, spatial uncertainties of the magnetic behavior law are also treated. Benchmark examples such as a single phase transformer and a combined function magnet are used to illustrate how to propagate uncertainties from the input material data to the relevant output data.
A Novel TIGFET-based DFF Design for Improved Resilience to Power Side-Channel Attacks

Side-channel attacks (SCAs) represent a significant security threat, and aim to reveal otherwise secret data by analyzing a relevant circuit’s behavior, e.g., its power consumption. While all circuit components are potential power side channels, D-flip-flops (DFFs) are often the primary source of information leakage to an SCA. This paper proposes a DFF design based on the three-independent-gate field-effect transistor (TTGFET) that reduces side-channel vulnerabilities of sequential circuits. Notably, we find that the I-V characteristics of the TIGFET itself leads to inherent side-channel resilience, which in turn enables simpler and more efficient cryptographic hardware. Our proposed design is based on a prior TIGFET-based true single-phase clock (TSPC) DFF design, which offers high performance and reduced area. More specifically, our modified TSPC (mTSPC) design exploits the symmetric I-V characteristics of TIGFETs, which results in pull-up and pull-down currents that are nearly identical. When combined with additional circuit modifications (made possible by the unique characteristics of the TIGFET), the mTSPC circuit draws almost the same amount of supply currents under all possible input transitions (less than 1% variation for different transitions), which can in turn mask information leakage. Using a 10nm TIGFET technology model, simulation results show that the proposed TIGFET-based DFF circuit leads to decreased power consumption (up to 96.9% when compared to the prior secured designs), has a low delay (15.2 ps), and employs only 12 TIGFET devices. Furthermore, an 8-bit S-box whose output is sampled by a group of eight mTSPC DFFs was simulated. A correlation power analysis attack on the simulated S-box with 256 power traces shows that the key is not revealed, which confirms the SCA resiliency of the proposed DFF design.
Optimizing Land Use Allocation to Balance Urban Expansion, Cropland Protection, and Conservation of Ecosystem Services

Dealing with the conflicts among urban expansion, cropland protection, and conservation of ecosystem services becomes the subject of increased attention in the sustainable land use planning. Previous studies explored the optimized land allocation to mitigate the trade-offs between urbanization and protection of cropland quantity, or between urbanization and protection of ecosystem services, but few studies explored the optimized land use allocation which could achieve the synergy among urban expansion, cropland protection (not only protecting its quantity but quality), and conservation of ecosystem services. Taking Hubei of China as the study area, this study aims to optimize land use allocation which can meet the demand for both urban land and cropland in quantity, while maximizing the productivity of cropland and minimizing the loss of ecosystem service value (ESV) during 2010‒2030. Based on potential agricultural yield estimated by Global Agro-ecological zone (GAEZ) model and the spatial differences of ESV assessed by unit value-based approach, we optimized the land use allocation by applying the LAND System Cellular Automata model for Potential Effect (LANDSCAPE). Specifically, the spatial difference of potential agricultural yield was expressed as parameter of suitability, while the spatial difference of ESV was represented by the parameter of resistance. Results show that, the optimized land use allocation will meet the demand for both urban land and cropland in quantity, meanwhile, the potential agricultural yield will increase by 361 kg/km (which can make cropland economic value increase 12.71×10 US$ to 13.37×10 US$), and the loss of ESV will decrease by 46.57 million US$. The results indicated that it is feasible to allocate land resources to achieve the synergy among urban development, protection of cropland in quantity and quality, and conservation of ecosystem services. This study highlights the importance to take the spatial difference of both potential agricultural yield and ESV into consideration in land use planning.
Genome-wide expression analysis of environmental stress in the cyanobacterium Synechocystis PCC 6803

Eneas Aguirre von Wobeser onderzocht functionele aanpassingen in een cyanobacterie, ook wel blauwalg genoemd, met hedendaagse genomische methodes. De cyanobacterie synechocystis was een van de allereerste organismen met een volledig bekende genoomsequentie, en een toegekende functie voor een aanzienlijk deel van de meer dan 3000 open reading-frames. Deze kennis gebruikte Aguirre von Wobeser om een DNA-microarray voor het volledige genoom te ontwerpen. Hiermee is het mogelijk om de transcriptie (‘expressie') van alle genen tegelijk te analyseren. De relatieve expressie van genen is een afspiegeling van de eiwitten die nodig zijn voor evenwichtige fysiologie van een cel. Het onderzoek van Aguirre von Wobeser levert directe informatie over duizenden verschillende eiwitten met een gespecialiseerde functie onder verschillende milieucondities. Wanneer een cel stress ervaart bijvoorbeeld, wanneer er te weinig of te veel van een stof nodig voor groei is, moet een cel de fysiologische mogelijkheden aanpassen aan de sub-optimale omgeving. Aguirre von Wobeser paste deze techniek toe om veranderingen in genexpressie voor aanpassing aan aantal interessante omgevingscondities te bepalen. Daarbij maakte hij gebruik van geavanceerde continu-cultuurtechniek voor het testen van de effecten van de beschikbaarheid van gebonden stikstof of licht op het patroon van genexpressie. De resultaten kunnen interessant zijn voor toekomstige toepassing op kwaliteitsbewaking van bijvoorbeeld zoetwaterplassen.
Wnt signalling in the Ewing’s sarcoma family of tumours

Ewing’s sarcoma family of tumours (ESFT) are aggressive tumours with a tendency to metastasise, which is associated with poor outcome. ESFT are characterised by an EWS-ETS gene rearrangement, most commonly EWS-FLI1. However, the mechanism of tumour formation is poorly understood and the cell of origin unclear. Since Wnt signalling is frequently deregulated in pathological conditions including cancer I have examined the potential role of Wnt signalling in ESFT cell lines and two novel in vitro models of ESFT development. Components of the Wnt signalling pathway were expressed in all 6 ESFT cell lines studied. A lentiviral-based luciferase assay measuring TCF/LEF mediated signalling was successfully developed and demonstrated that the canonical Wnt signalling pathway is active in ESFT cell lines. Assays developed to investigate the activity of the noncanonical Wnt signalling pathway indicated that active Rac1 is expressed in some ESFT cell lines, and that ESFT cell lines are highly migratory. Two complementary model systems were utilised to investigate Wnt signalling in the initiation of ESFT. Firstly, analysis of reprogrammed ESFT cells showed an increase in response of the canonical Wnt signalling pathway to Wnt3A, and an increase in active Rac1 expression. Furthermore Wnt signalling components were differentially expressed in reprogrammed cells. The induction of EWS-FLI1 expression in human embryonic stem (hES) cells increased canonical Wnt signalling and expression of active Cdc42. These cells had an altered phenotype and were more migratory. EWS-FLI1 expression also resulted in differential expression of Wnt signalling components including DKK2, DKK4, FZD8, Wnt4 and Wnt5A. These data demonstrate that both the canonical and noncanonical Wnt signalling pathways may be important in the initiation of ESFT. Further elucidation of the role of these pathways and the individual components in tumour development could inform the development of novel therapeutics that could prevent tumour metastasis and relapse.
Influence of Working Capital Supervision on the Performance of firm Listed on the Nigerian Stock Exchange

The global economy world has changed rapidly due to the rise of economic and technological variations featured by the incremental global competition which has made the directors of firms more accountable in carrying out their operations. Financial Decision making is one of the significant roles played by the organization management. Making decisions sheds lights on the whole financial affairs. This is not exceptional in working capital Decisions. Designing and developing working capital supervision influence the improvement of the firms’ operations. This study intends to find empirical evidence about the influence of working capital supervision on the performance of the firm. The performance evaluation measures include distinguished economic value added and market value added. In doing so, a sample composed of the firms listed on the Nigerian Stock Exchange for a five year period including 2013 to 2018 has to be considered. The regression results will be present that there is no significant relationship between working capital supervision and supervised economic value added. However, the variables of working capital supervision and market value added are significantly associated. As a whole, the managers might enhance the firm’s financial performance through declining the liquidity cycle.
A perlustration of Human Apprehension and Behavior Accedence in surroundings

In surveillance system various methods are implemented but have some limitation and ﬂaws. This paper presents a systematic description of the research on relevant human detection and behavior-recognition methods for surveillance system to use in various civic services. Detection method includes two class classiﬁcations differentiating human versus non-human whereas recognition methods includes multi-class classiﬁcation of all actions. This paper is an approach to summarize the methods to enhance the implementations and get an optimal upshot.
On Ideal and Weakly-Ideal Access Structures

For more than two decades, proving or refuting the following statement has remained a challenging open problem in the theory of secret sharing schemes (SSSs): every ideal access structure admits an ideal perfect multi-linear SSS. The class of group-characterizable (GC) SSSs include the multi-linear ones. Hence, if the above statement is true, then so is the following weaker statement: every ideal access structure admits an ideal perfect GC SSS. One contribution of this paper is to show that ideal SSSs are not necessarily GC. Our second contribution is to study the above two statements with respect to several variations of weakly-ideal access structures. Recently, Mejia and Montoya studied ideal access structures that admit ideal multi-linear schemes and provided a classification-like theorem for them. We additionally present some tools that are useful to extend their result.
Big Data Security Policy Enforcement

- Protecting big data is a major challenge facing the industries. It becomes challenging as data grows and more accessible by more clients. Large-scale data storage is becoming a necessity for healthcare, business segments, government departments, scientific endeavors and individuals. Security policy is one of these challenge that we need to manage and enforce. Security policy needs to be integrated, flexible, context-aware and customizable. The framework receive data from customer and then analyze data received, extract privacy policy and then identify the sensitive data. In this paper we will present the enforcement of the privacy policy as part of our framework.
Endogenous ascorbic acid delays ethylene-induced leaf senescence in Arabidopsis thaliana

Leaf senescence is an important event in the plant life cycle. Ethylene and ascorbic acid (AsA) both regulate the leaf senescence process. The role of endogenous AsA in ethylene-induced leaf senescence was explored in two independent endogenous AsA changing Arabidopsis thaliana mutants. The line vtc2-1 with a single base change in VTC was AsA-deficient mutant; the GLDH-overexpressing line (GLDHOE) driven by the CaMV 35S promoter was AsA-overaccumulating mutant. After spraying 600 μM ethephon for 6 d, vtc2-1 showed the most serious leaf chlorosis, reactive oxygen species (ROS) accumulation, chlorophyll breakdown, Rubisco degradation, and had the highest expression level of senescence-associated genes (SAGs), such as SAG12, SAG13, SAG20, and SAG21 among the three lines. In contrast, GLDHOE maintained the highest photosynthetic pigments contents, Rubisco content, antioxidant capacity, and the lowest expression of SAG2, SAG20, and SAG21 among the three lines. Taken together, we conclude that endogenous AsA can delay ethylene-induced senescence by scavenging ROS and inhibiting SAGs expression.
Critical Success Factors for Business Intelligence Implementation in an Enterprise Resource Planning System Environment Using DEMATEL: A Case Study at a Cement Manufacture Company in Indonesia

This paper is aimed at evaluating critical success factors in Business Intelligence (BI) implementation in an Enterprise Resource Planning (ERP) environment. The data analysis method used in this paper is the Decision Making Trial and Evaluation Laboratory Model (DEMATEL). The study has been conducted on a cement manufacturing strategic holding company that has implemented ERP since 2010. This research is done through literature review and interviews with the head of the BI development team as the expert for this research, before distributing questionnaires to Information and Communication Technologies (ICT) Team and BI stakeholders. The questionnaire has been addressed to 18 respondents consisting of the BI development team and stakeholders, which include the Strategic Planning Division, Business Development Division, Transformation Management Division, and Accounting Division. There are 13 factors evaluated, consisting of 4 factors related to the organization, four factors related to the development process, three factors related to the technology, and two factors associated with the external environment. The most critical factor for organizational criteria is Top management support. The most important factor for process criteria is Effective project management. The most important factor for technology criteria is System reliability, flexibility, and scalability. The most important factor for environment criteria is the selection of a vendor.
Behavior and Genetic: Confounding Effects on Adolescent Body Mass Index

Introduction: Persistently high rates of obesity have made understanding the determinants of BMI a research priority. However, the relationship between genetic disposition and behavior remains unclear. This study examines the relationship between genetic risk for body mass index (BMI) and health-related behaviors. Results show that sleep, exercise, screen time, school enrollment and disordered eating mediate heritable genetic influences. Methods: Using a longitudinal panel, analysis tests the strength of the genetic influence on BMI controlling for demographic attributes and ancestry-specific principle components. Multilevel structural equation models evaluate the mediating/moderating influences of behavior on genetic conditioning. Results: Sleep, exercise, and school enrollment are associated with lower BMI, while screen time, disordered eating, and age are associated with higher BMI. Polygenic risk score has the largest BMI impact. Behavior not only has a direct BMI impact, but also a mediating influence. Sleep, school enrollment, exercise and reduced screen time serve as partial mediators in the BMI-PGS relationship. Conclusions: Mediation analysis shows that not only do these behaviors have a direct effect on BMI; they also serve as partial mediators to BMI polygenic risk scores. Sleep, school enrollment, exercise and reduced screen time serve as partial mediators, in the path from polygenic risk score to BMI by reducing the magnitude of the genetic effect on BMI. This suggests that behavioral modifications could be used to offset genetically-influenced weight increases.
Aggression In Social Media: Detection Using Machine Learning Algorithms

: Social media have found a remarkable jump in the number of users and their popularity in the last decade. The users of these social media platforms are found to express their opinion, views on different diverse topics. The discussion may be on a simple opinion regarding a particular product or opinion for a social issue. It might also be someone’s political view or view on some religious issue. At some point of time these discussions may enter into controversial topics and users may engage in some very provocative discussion in the social media platforms. For some considerable amount of time these issues have become common in social media. Users become aggressive at time in their opinion expressed in their posts. The aggressions in social media sometimes lead to disturbances in the social equilibrium. Many a time the situation goes so wrong that it disturbs the law and order situation may also lead to loss of life and public properties. Thus detection and control of these aggressions in social media websites is an important issue. In this paper we endeavor to make a systematic survey of various research works done in the area of detection of aggression in social media sites.
Running head: DIRECTED AND RANDOM EXPLORATION IN CHILDREN 1 Development of directed and random exploration in children

Are young children just random explorers who learn serendipitously? Or are even young children guided by uncertainty-directed sampling, seeking to explore in a systematic fashion? We study how children between the ages of 4 and 9 search in an explore-exploit task with spatially-correlated rewards, where exhaustive exploration is infeasible and not all options can be experienced. By combining behavioral data with a computational model that decomposes search into similarity-based generalization, uncertainty-directed exploration, and random exploration, we map out developmental trajectories of generalization and exploration. The behavioral data show strong developmental differences in children’s capability to exploit environmental structure, with performance and adaptiveness of sampling decisions increasing with age. Through model-based analyses, we disentangle different forms of exploration, finding signatures of both uncertainty-directed and random exploration. The amount of random exploration strongly decreases as children get older, supporting the notion of a developmental “cooling off” process that modulates the randomness in sampling. However, even at the youngest age range, children do not solely rely on random exploration. Even as random exploration begins to taper off, children are actively seeking out options with high uncertainty in a goal-directed fashion, and using inductive inferences to generalize their experience to novel options. Our findings provide critical insights into the behavioral and computational principles underlying the developmental trajectory of learning and exploration.