1,721,185 research outputs found
Applying machine learning tools to detect cyber-attacks in financial firms and banks for visualization and reporting
No full textThe field of cyber security is witnessing a growing significance of machine learning techniques. The primary objective of applying machine learning is to enhance the detection of malware compared to current approaches that heavily rely on human engagement. This is achieved by rendering machine learning more actionable, scalable, and efficient. The topic of cyber security necessitates the application of efficient scientific and theoretical management to address machine learning challenges. The utilization of machine learning and statistical methodologies, including deep learning, support vector machines, and Bayesian classification, has demonstrated potential in addressing the issue of cyberattacks. The important task in developing intelligent security systems is to identify biases and perceptions that may be concealed inside network data, and afterwards construct data-driven machine learning models to effectively counteract these intrusions.Numerous nations, institutions, and financial institutions are endeavoring to comprehensively integrate virtual and online banking systems. The primary and highly significant concern revolves around ensuring the security of transactions through robust privacy measures. The proper operation of government and financial enterprises necessitates the presence of a system characterized by a high level of accountability, honesty, secrecy, and transparency. In certain instances, the utilization of unsecure and publicly accessible Wi-Fi networks, which are intended for accessing electronic services, can be attributed as a primary factor contributing to cyber-attacks and challenges associated with the establishment of e-governance. Consequently, it is imperative for researchers to develop strategies and approaches that may effectively counteract hackers and safeguard their own security. This study employs machine learning methodologies and utilizes many tools like Pandas, Scikit-learn (Sklearn), NumPy, Matplotlib, Seaborn, and TensorFlow. The models employed and evaluated in this study encompass ensemble classification, XGBoost, Neural Networks, and Logistic Regression. XGBoost demonstrated superior performance, hence it is highly recommended.The present study focuses on the domain of cybersecurity, specifically exploring the intersection of machine learning and risk analysis. The utilization of neural networks is investigated as a means to enhance intrusion detection capabilities. Additionally, the study delves into the categorization aspect of cybersecurity, aiming to improve the accuracy and efficiency of threat identification
Surgical Approach for Spinal Tumors: Our Experience in Combined Military Hospital Dhaka
Get PDF(1) Background: spinal tumors not only causes structural problem but also it affects body functionality, too. Surgery has a key role in management of patients with spinal tumor. The aim of this study is that to observe their clinical profile, functional outcomes and prognostic factors. (2) Methods: 20 retrospectively consecutive patients with spinal tumors operated over a period of 2 years were analyzed. (3) Results: nine (45%) were intradural and 11(55%) were extradural. Mean age at surgery was 45.05 years (range 20–80 years). The common clinical features were pain, limb weakness and autonomic involvement. Schwannoma was common in intradural extramedullary group whereas astrocytoma and ependymoma was common in intramedullary group. In this case, 16 (80%) patients had improvement following surgery and 4 (20%) remained the same, none had deterioration. Common complications were persistent pain (1 case) and autonomic involvement (1 case). (4) Conclusion: spinal tumors need early exploration and excision and usually patients recover well without any residual effect
SAP FICO in relation with order delivery process in Enterprise Resource Planning : a case study on SAP S/4HANA system environment as a practical platform
Get PDFThe goal of the thesis is to identify the relations between SAP FICO and order delivery process. Financial Accounting (FI) and Management Accounting (CO) are referred to as FICO (Magal & Word 2012). SAP S/4HANA system environment - was used as the practical platform of the study. The main purpose is - to show how this identified relation helps in generating accurate stock valuation and financial reports. As an integral part, accounting is maintained in several particular steps in order delivery process but if accounting is kept as unrecorded, business does not get appropriate picture of -its assets and liabilities. The research configured the integration process along with the integration points that can be use to make flawless financial reports.
Enterprise Resource Planning (ERP) -is defined briefly in the first phase of the theoretical part. SAP S/4HANA as the central subject matter of the study is discussed in the next phase. A general overview on order delivery process and the process in S/4HANA is presented subsequently. Theoretical discussion concludes by presenting FICO as the tool of managing and creating financial data & financial reports.
The practical phase includes several SAP system screenshots showing the process, where and when acoounting entry should be recorded. The author - participated in a training on SAP S/4HANA and –the above screenshots were collected there.
The study - identifies three integration points while analyzing the relations between order delivery process & FICO. To get an actual financial state of a company, accounting should be recorded after goods receipt, goods Issue and Customer Payment. The results are displayed as the desired outcome of the study and it can be used as a study material for the students.Tämän opinnäytetyön tavoitteena oli tutkia SAP FICO:n ja tilauksen toimitusprosessin välistä suhdetta. FICO viittaa taloushallinnon kirjanpitoon (FI) ja hallintolaskentaan (CO) (Magal & Word 2012). SAP S/4HANA -järjestelmäympäristöä on käytetty tutkimuksen alustana. Päätarkoituksena on näyttää, kuinka tämä tunnistettu suhde auttaa tuottamaan tarkkoja osakearvioita ja taloudellisia raportteja. Kirjanpito on olennainen osa monessa vaiheessa tilauksen toimitusprosessissa, mutta jos kirjanpidosta ei pidetä kirjaa, yritys ei saa asianmukaista kuvaa heidän varoistaan ja veloistaan. Tämä tutkimus on määritellyt integraatioprosessin ja integrointipisteet, joita voidaan käyttää virheettömien taloudellisten raporttien laatimiseen.
Yritystoiminnan resurssisuunnittelu (ERP) on määritelty lyhyesti teoreettisen osan ensimmäisessä vaiheessa. Teoreettisen osan toisessa vaiheessa käsitellään SAP S/4HANA:ta, joka on tutkimuksen keskeinen aihe. Sen jälkeen on yleiskatsaus tilauksen toimitusprosessista ja prosessista S/4HANA:ssa. Teoreettinen osio päättyy FICO:n kuvailulla työvälineenä taloudellisen datan ja taloudellisten raporttien hallinnassa ja luomisessa.
Empiirinen osa sisältää useita kuvakaappauksia SAP-järjestelmästä, jotka osoittavat prosessin, missä ja milloin tapahtuneet merkinnät tulisi tallentaa. Tämän opinnäytetyön kirjoittaja osallistui SAP S/4HANA -harjoitteluun, ja tässä tutkimuksessa käytetyt kuvakaappaukset on koottu harjoittelupaikasta.
Tutkimuksessa on tunnistettu kolme integraatiopistettä analysoitaessa tilauksen toimitusprosessin ja FICO:n välistä suhdetta. Yrityksen todellisen taloudellisen tilan selvittämiseksi kirjanpito tulisi kirjata tavaroiden vastaanoton, tavaroiden liikkeeseenlaskun ja asiakasmaksun jälkeen. Opinnäytetyön tulokset vastaavat tutkimuksen alussa asetettuihin haluttuihin tuloksiin
Global mRNA and miRNA transcriptome profiling of peripheral blood mononuclear cells to investigate the host immunogenetic response to PRRSV vaccination in pigs
Get PDFThis dissertation aims to identify the candidate genes of the functional network of host immune response to porcine reproductive and respiratory syndrome virus (PRRSV) vaccine in pigs; to explore the breed differences on vaccine induced transcriptional response between German Landrace (DL) and Pietrain (Pi) pigs; and to elucidate the post transcriptional regulatory mechanism of vaccine induced gene expression in the peripheral blood mononuclear cells (PBMCs). The Affymetrix gene chip microarray technique was employed for global expression profiling of messenger RNA (mRNA) and microRNA (miRNA) in PBMCs collected in a time series manner following PRRSV vaccination in purebred DL and Pi pigs. Additionally, microarray expression results were validated by qRT-PCR and the PRRSV-specific plasma antibody titre was monitored by ELISA. The PRRSV-specific plasma antibody titre indicated the piglets free from maternal antibody at the time of primary vaccination and rose above the threshold following two weeks of the primary vaccination that subsequently reached a plateau at four weeks post vaccination. The global mRNA profiling of PBMCs from PRRSV vaccinated and age-matched unvaccinated Landrace pigs at immediately before (0 h), and at 6, 24 and 72 h after PRRSV vaccination revealed a distinct host innate immune transcriptional response. A total of 14,231 transcripts were found to be expressed in PBMCs of vaccinated and unvaccinated pigs. Differential expression analysis (FDR ±1.5) identified 542, 2,263 and 357 differentially expressed genes at 6, 24 and 72 h post vaccination. APP, TRAF6, PIN1, FOS, CDKN1A and TNFAIP3 identified to be potential candidate genes for early stage PRRSV vaccine response in Landrace pigs. In Pietrain pigs, 295 and 116 transcripts were found to be differentially expressed in PBMCs at 1 and 28 days post vaccination, respectively. This study suggested that the innate immune transcriptional network is likely to be regulated by LCK, STAT3, ATP5B, UBB and RSP17; while TGFβ1, IL7R, RAD21, SP1 and GZMB were found to be predictive for the adaptive immune transcriptional response to PRRSV vaccine in PBMCs of Pi pigs. The global microRNA profiles of PBMCs identified 12, 259 and 14 differentially expressed (DE) miRNAs in DL; and 0, 222 and 13 DE miRNAs in Pietrain at 6, 24 and 72 h post vaccination, respectively. There were remarkable differences on expression dynamics of both mRNAs and miRNAs between DL and Pi pigs. Integrated mRNA-miRNA network revealed the inverse correlation between vaccine induced altered mRNAs and miRNAs in PBMCs. Results of this immunogenomics study advances our understanding on the genetic control of PRRS.Erstellung von globalen mRNA und miRNA Transkriptomprofilen in mononukleäre Zellen des peripheren Blutes zur Untersuchung der Wirts immunogenetischen Reaktion auf eine PRRSV Impfung bei Schweinen Die vorliegende Arbeit zielt darauf ab, Kandidatengene des funktionellen Netzwerks der wirtsspezifischen Immunantwort auf den PRRS-Virus (PRRSV) Impfstoff bei Schweinen zu identifizieren; um transkriptionale Unterschiede durch den induzierten Impfstoff in den zwei Schweinerassen Deutschen Landrasse (DL) und Piétrain (Pi) zu erkunden; und die Aufklärung von Post-transkriptionellen Mechanismen bedingt durch den Impfstoff in den mononukleären Zellen des peripheren Blutes (PBMCs). Zur Erstellung der Transkriptomprofile der Boten-RNA (mRNA) sowie der microRNA (miRNA) in reinrassigen DL und Pi Schweinen zu unterschiedlichen Zeitpunkten nach der PRRSV Impfung wurde die Affymetrix Gen-Chip-Microarray-Technik eingesetzt. Zusätzlich wurden die Microarray Ergebnisse mittels qRT-PCR validiert und die PRRSV-spezifischen Plasma Antikörpertiter durch ELISA bestimmt. Durch den PRRSV-spezifischen Plasma Antikörpertiter zeigte sich, dass die Ferkel frei von mütterlichen Antikörpern zum Zeitpunkt der Erstimpfung waren. Nach der ersten Impfung stieg der Titer in den folgenden zwei Wochen über dem Grenzwert, und erreichte sein Plateau vier Wochen nach der Impfung. Die Betrachtung der globalen mRNA Profile von PBMCs von PRRSV geimpft und ungeimpften DL Schweinen unmittelbar vor 0 und mit 6, 24 und 72 h nach der Impfung ergab eine deutlich angeborene transkriptionelle Wirts Immunreaktion. Insgesamt waren 14.231 Transkripte in PBMCs von geimpften und nicht geimpften Schweine exprimiert. Die Expressionsanalyse (FDR ± 1,5) identifiziert 542, 2263 und 357 differentiell exprimierte Gene 6, 24 und 72 h nach der Impfung. Als potenzielle Kandidatengene für das frühe Stadium der Impfreaktion konnten APP, TRAF6, PIN1, FOS, CDKN1A und TNFAIP3 identifiziert werden. In Piétrain Schweinen waren 295 und 116 Transkripte in PBMCs an Tag 1 und 28 nach der Impfung unterschiedlich exprimiert. Diese Ergebnisse zeigen, dass das angeborene Immunnetzwerk wahrscheinlich durch LCK, STAT3, ATP5B, UBB und RSP17 geregelt wird; während sich TGFβ1, IL7R, Rad21, SP1 und GZMB für die adaptive Immunreaktion auf den PRRSV-Impfstoff in PBMCs von Pi-Schweinen als prädiktiv erwiesen. Die microRNA-Profile von PBMCs identifiziert 12, 259 und 14 unterschiedlich exprimiert miRNAs in DL; und 0, 222 und 13 miRNAs in Pi, 6, 24 und 72 h nach der Impfung. Es gab deutliche Unterschiede bei der Expressionsdynamik sowohl bei der mRNAs als auch miRNAs zwischen DL und Pi Schweine. Integrierte mRNA-miRNA-Netzwerke zeigen eine inverse Korrelation zwischen der durch den Impfstoff induzierten veränderten mRNAs und miRNAs Expression in PBMCs. Die Ergebnisse dieser immunogenomischen Studie erweitert unser Verständnis über die genetische Kontrolle von PRRS
Effect of Surface Porosity on Tribological Properties of Automotive Al-Si Alloys
No full textAl-Si based alloys are commonly used in the automobile industry due to their superior properties, high strength to weight ratio, corrosion resistance, recyclability, etc. These alloys are fabricated by casting and powder metallurgy techniques in which porosity is a common feature. The presence of pores is accompanied by a decrease in mechanical properties, i.e., a drop in hardness and ductility of the materials. In the present study, an attempt was made to understand the effect of surface porosity on the tribological property. A380M and Al-6wt% Si alloys were used to prepare specimens containing 2.6 to 6.9% porosity via casting and 1 to 6.7% porosity via powder metallurgy techniques, respectively. Dry sliding wear behavior was investigated in the load range 6-20 N against an AISI 52100 bearing steel ball using a reciprocating ball-on-flat configuration at a frequency range of 4-20 Hz for cast and 15 Hz for P/M samples
Physio-Chemical Degradation of Concrete: A Ramification of Coupled Freeze-Thaw and Sulfate Attack
Get PDFConcrete structures experience damage due to Sulfate Attack (SA) and Freeze-Thaw (F-T) in cold regions containing ample amount of sulfate species. The combined effect of SA and F-T is a multiscale multiphysics damaging process for cementitious materials involving complicated chemical reactions and phase transition inside concrete pores. This thesis is a compilation of two theoretical models describing the SA induced damage in an unsaturated cementitious medium and damage due to the combined effect of SA and F-T. The classical theory of phase change and a diffusion-reaction process is utilized in the development of the models. The validity of the proposed models is tested by comparing the numerical results against existing experimental data for concrete mortars. It is found that the numerical results agree very well with the experimental results. These coupled mathematical models can be applied to assess the effect of ambient sulfate concentration on the degradation of concrete, the pore-size distribution (PSD), hysteresis of solidification and melting of water in concrete pores and change of porosity due to SA and F-T. Most importantly the proposed mathematical model is capable of explaining the damage extent of concrete under coupled conditions that are somewhat difficult and time consuming to be evaluated by contemporary experimental methods
バングラデシュにおける土地保有制度と農業生産に関する研究 : バサイル地区を事例に
Get PDFLand is a very important factor of production in an agricultural developing country like Bangladesh. Land reform ordinance 1984 was formulated and declared by the government of Bangladesh in due respect for the improvement of agricultural production as well as the proper utilization of agricultural lands in the country by properly addressing the tenancy issue of share cropped land. The academic contribution of this thesis lies in evaluation of implementation and agricultural production aspect of this land reform ordinance 1984, which is a very important issue in the national perspective of Bangladesh. The aim of this thesis is to analyze the various aspects of land tenure arrangements on agricultural production based on with and without implementation of land reform ordinance 1984. The study area was selected at Basail Upzila (sub- district) of Tangail district in Bangladesh, as the farmers of this Upazila have location advantages in farming those can represent the various regional characteristics of land tenure arrangements in the country, including cropping patterns and other concerned issues in farming. Other related aspects those affect on land tenure and agricultural production were also assessed. Data were collected from 150 respondents of equally 50 from each category of owner, owner cum tenant and tenant farmers. This data were collected from January to March, 2013 by stratified random sampling technique based on the cultivated crops in a cropping year. Then the collected data were analyzed by statistical analytical software Stata 13. There are two core chapters (Chapter 5 and 6) have been incorporated in this thesis. These include analyses of various aspects of agricultural production, according to land tenure arrangements. This Thesis has attempted to locate the most relevant theoretical models to explain the econometric outcomes in the relevant chapters. The first core chapter (chapter 5) attempts to analyze the agricultural production in the different land tenure arrangements of Basail Upazila of Tangail district in Bangladesh. This study shows that output sharing is conducted according to this legal provision of land reform ordinance 1984 but input cost sharing are not practiced accordingly in share cropped land. Those lead the tenant farmers (share croppers) in lack of proper incentive. That is revealed in benefit cost ratio and analysis of variance of net revenue of the farmers. From this analysis of variance, it is found that there is a statistically significant difference from zero among the net revenue of owner, owner cum tenant and tenant farmers. Again, this benefit cost ratio in owner cum tenant mortgaged land is higher than that of both the owner cum tenant or tenant share cropped lands. This indicates the potentiality to transform share cropped land into mortgaged land for the cultivators. The second core chapter (chapter 6) identifies the technical efficiency of different categories of farmers. From this study it is found that there is a statistically significant difference from zero among the technical efficiency of various categories of cultivated land of the farmers. This technical efficiency becomes higher in share cropped lands if input cost is shared by the land owner according to the legal provision of land reform ordinance 1984. It is also found significantly positive influence of credit on this technical efficiency.
From the above mentioned various analysis, it can be holistically detected that, proper implementation of land reform ordinance 1984 is needed for achieving the proper incentive in cultivation of share cropped land, enhancement of technical efficiency, Profitability in crop cultivation for the cultivators as well as for the better outcome of agricultural production in Bangladesh.広島大学(Hiroshima University)博士(学術)Doctor of Philosophydoctora
Blockchain Technology: A tool to solve the challenges of education sector in developing countries
Get PDFThe education system is getting diversified, challenged, and blended for the
overwhelming advancement of disruptive technology. The core purpose of this
chapter is to visualize the probable solutions of the modern education system
using blockchain technology. The entire chapter has been discussed on the basis
of present solution and projection of future inventions to smoothen the
education system. The fourth industrial revolution (4IR) is changing our
experiences in terms of education and other lifestyle. Delivering lectures,
interacting between learners and educations, evaluating learning outcomes, and
verifying educational credentials might be smoother, easier, faster, cheaper,
and jollier than before. Blockchain technology can contribute to the education
provider to tackle all those existing problems to create a comfortable learning
environment to all irrespective to their economic backgrounds and geographic
location. How this technology can contribute to improve Reviewing recent
inventions in this technology, the chapter explains some of the strategies to
go beyond the ongoing projects around the world. A set of models are arranged
to enable the readers mind for future inventions in the realm of educationists.
Keywords: -Blockchain, 4IR, educators, learning outcome
Food Adulteration & Health Hazards In Bangladesh
No full textThis project report is prerequisite to complete the bachelor program of United International
University. In this report there is a clear scenario of food adulteration in Bangladesh, this is the
problem of past and also present and it‟s growing very fast, for this problem people are suffering
from food related illness and also being deadly disease. Adulteration of food is basically being
adulterated by mixing or replacing lower substances and also eliminating some essential
ingredients. In all over the world this adulteration is being occurred, in our country this
dimension of adulteration is much more than the other country, almost everyday we general
people are taking or consuming this adulterated food and suffering for that. We have law but this
is not applied properly for the many sorts of limitations. In this regard we must need strong law
and embed that law properly
Corrosion Behaviours of High Strength TMT Steel Bars for Reinforcing Cement Concrete Structures
No full textAbstractSteel has been used for many decades in structural applications because of its good combination of mechanical properties. As per recent concept to reduce steel consumption in reinforced cement concrete (RCC) structures, designers recommend high strength steel bars. There are various routes for their production such as microalloying, thermomechanical treatment, cold working, etc. For steel bars of thermomechanical treatment (TMT) route, some designers believe these steel bars to be more sensitive to corrosive environment. To verify this, corrosion behaviours of high strength steel bars of 500W (weldable steel bar of yield strength 500MPa) grade of two different local industries have been studied in fresh water and sea water, which were compared with weldable low strength (yield strength 300MPa) bars of the same companies. Experimental results revealed that addition of small amount of alloying elements such as Cr, Ni and Cu improves the corrosion resistance of the steel bars in all test mediums; however, strength levels have no influence the corrosion rate. A relation has also been found between the severity of corrosion damage and the degree of tensile property degradation
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