Miracle-dz/UniFAR-FTUs huggingface dataset:
Intrusion detection using machine learning-hardened domain generation algorithms

Machine learning has recently been applied in a variety of areas in information technology due to its superiority over the typical computer algorithms. The machine learning approaches are being integrated into cybersecurity detection approaches with the primary aim of supporting or providing an alternative to the first line of defense in networks. Although the automation of these detection and analysis systems is potent in today’s changing technological environment, the usefulness of machine learning in cybersecurity requires evaluation. In this research, we present an analysis and address cybersecurity concerns of machine learning techniques used in the detection of intrusion, spam, and malware. The analysis will entail the evaluation of the current maturity of the machine learning solutions when identifying their primary limitations, which has prevented the immediate adoption of machine learning in cybersecurity.
VALIDATION PROTOCOL — THE MISSING PUZZLE PIECE

In multi-vendor T&E systems, a single hardware vendor cannot anticipate the dependencies on the settings from hardware manufactured by other vendors, or the systemic constraints that are speciﬁc to a particular customer. The T&E community has recognized the fact that MDL and TMATS XML are not sufﬁcient to address this problem alone, and that there is a need for a separate, constraints language. Constraints written in such a language can be validated by a third party validation engine, without relying on any particular vendor’s software. To this end, we developed the concept of TACL, a candidate for the standard constraint language, and demonstrated it with a reference implementation of a TACL engine integrated with the iNET System Manager. In this paper, we argue that this integration should be standardized in the form of a Validation Protocol in order to turn the existing system into a loosely-coupled, standards-based architecture.
IOT BASED SYSTEM FOR DETECTION OF SEWAGE BLOCKAGES

In smart cities, the Internet of Things(IoT) is a key aspect providing seamless and unique access to public resources, with the aim of achieving better utilization and optimization of power, water and transportation facilities. Today urban India is faced with a water crisis, about 80% of sewage enters lakes, rivers and groundwater untreated, due to the lack of effective wastewater infrastructure management. This research focuses mainly on monitoring of sewage infrastructure, to predict blockages, preventing them from turning into Sanitary Sewer Overflows (SSO). This paper proposes an IoT based full-fledged system to tackle this issue. The system monitors the working of access manholes in a network, collecting multiple data parameters, generated in and around these manholes, and sends alerts when the development of a blockage is detected. This geospatial data along with the alerts are observed via a centralized visual dashboard. Through this system, the objectives that the paper proposes to achieve, are generation of dynamic geo-spatial map of manhole networks, enabling the stakeholders to perform proactive maintenance of this infrastructure. Another goal of this work is to generate a data set for developing machine learning models for advanced maintenance methods.
Assessment of plasma fibrinogen as a marker of diabetic nephropathy

Introduction: Diabetes is one of the most common chronic hyperglycemic syndrome. Diabetic Nephropathy is one of the major complications of DM characterized by persistent albuminuria, increased arterial blood pressure, a relentless decline in glomerular filtration rate (GFR) & a high risk of cardiovascular morbidity & mortality. The biological marker of DN is fibrinogen. Fibrinogen, is increased in diabetic patients. An increase in plasma fibrinogen levels is also considered an independent risk factor for diabetic nephropathy. Fibrinogen is the major coagulation protein in blood. Objectives:To find out whether the levels of Plasma Fibrinogen levels can be used as markers for the early diagnosis of DN. Materials and Methods: Study design: A case control study. The study includes total of 150 patients, of which 50 were diabetic without any complications, 50 were diabetic nephropathy patients and remaining 50 were age matched healthy controls. Results: The mean plasma fibrinogen level in control group was 190.34 72.83 mg/dl. The mean plasma fibrinogen levels in DM & DN groups were 522.76 115.79 mg/dl & 657.64 124.61 mg/dl respectively. In our study, fibrinogen levels were increased significantly in DM group compared to controls which was further increased in DN group. Hence above studies interpret that fibrinogen increases in diabetes with complications. Conclusion: Fibrinogen correlated positively with FBS, HbA1c , TC, triglyceride, LDL, Blood Urea, serum creatinine, TC/HDL, LDL/HDL & urine A/C ratio in both DM & DN group, whereas there was negative correlation of fibrinogen with HDL & eGFR. Thus fibrinogen could be used as early biomarkers for the diagnosis of DN. Keywords: Conclusion: Fibrinogen correlated positively with FBS, HbA 1c, TC triglyceride, LDL, Blood Urea serum creatinine, Diabetes Miletus, Diabetic Nephropathy.
Annisa Dian Harlivasari: Hypercoagulation in Lung Cancer

Background: Pneumonia is an infectious disease with highest morbidity and mortality in the world. The research objectives is to determine the effect of Nigella sativa cement extract in procalcitonin, TNF-α levels, and clinical improvement in pneumonia patients. Methods: This study is a clinical trial quasi experimental design with pre and post test approach in the treatment group and the comparison group. Samples were taken by consecutive sampling between April and May 2016 a total of 30 patients were divided into 2 groups:the treatment group and the comparison group. The treatment group was given additional therapy capsules Nigella sativa cement extract, the comparison group was given the standard therapy. Procalcitonin levels and TNF-α is checked when the patient was admitted and when clinical improvement is achieved. Results: Decreased levels of procalcitonin in the treatment group (8.969±13.591 ng/dl) and a comparison group (1.907±6293 ng/dl) was statistically significant (p= 0.014; 95 % CI= 0.222-1.770). Decreased levels of TNF-α was not significantly different between treatment groups (58.759(1.840-166.50) pg/dl) and a comparison group (57.485 (35.410-81.650) pg/dl), with p= 0.395. The achievement of clinical improvement in the treatment group 4.60±8.28 days and the comparison group 5.53 ±1.45 today, statistically no difference between the two groups. Conclusion: Capsule Nigella sativa cement extract provides benefit for declining levels of procalcitonin and accelerate achievement of clinically stable in pneumonia patients. (J Respir Indo. 2017; 37(4): 316-24)
Travma ve Obsesif-Kompulsif Belirtiler:

One of the factors that play a role in the emergence and persistence of obsessive-compulsive symptoms might be childhood neglect and abuse. The main aim of this study was to examine the mediating role of worldview assumptions and the severity of obsessive beliefs in the relationship between childhood traumas and the severity of obsessive-compulsive symptoms. Furthermore, gender differences in childhood traumas, worldview assumptions, obsessive beliefs, and obsessive-compulsive symptoms were investigated. Five hundred sixty-two college students (Mage = 21.54, SD = 3.60; 113 male, 449 female) completed Childhood Traumas Scale, Worldview Assumptions Scale, Obsessive Beliefs Questionnaire, and Vancouver Obsessive-Compulsive Inventory via electronic mail. It was found that both worldview assumptions and severity of obsessive beliefs have mediating roles in the relationship between the frequency of childhood traumas and the obsessive-compulsive symptom severity. More specifically, the relationship between the frequency of childhood traumas and severity of obsessive-compulsive symptoms was mediated by negative worldview assumptions through the severity of obsessive beliefs. In addition, none of the variables revealed gender difference. The results of the study shed light on the complex mechanism in the relations between childhood traumas and obsessive-compulsive symptoms. Results also imply that inquiry of childhood neglect and abuse, negative worldview assumptions, and obsessive beliefs may contribute to the treatment of obsessive-compulsive symptoms.
DESIGN OF MODEL FOR DATA SECURITY IN CLOUD COMPUTING ENVIRONMENT

--------------------------------------------------------------------------------------------------------------------------------------- Abstract - Using cloud storage, users can remotely store their data and enjoy the on-demand high-quality applications and services from a shared pool of configurable computing resources, without the burden of local data storage and maintenance. However, the fact that users no longer have physical possession of the outsourced data makes the data integrity protection in cloud computing a formidable task, especially for users with constrained computing resources. However, when outsourcing the data and business application to a third party causes the security and privacy issues to become a critical concern. Throughout the study at hand, the authors obtain a common goal to provide a comprehensive review of the existing security and privacy issues in cloud environments. This paper will discuss security issues in cloud computing and propound a new solution to secure data storage in the cloud environment.
Recommender System for Multiple Databases Based on Web Log Mining

Wan Hussain Wan Ishak and Nurul Farhana Ismail, "Recommender System for Multiple Databases Based on Web Log Mining”, Annals of Emerging Technologies in Computing (AETiC), Print ISSN: 2516-0281, Online ISSN: 2516-029X, pp. 187-193, Vol. 5, No. 5, 20th March 2021, Published by International Association of Educators and Researchers (IAER), DOI: 10.33166/AETiC.2021. 05.023, Available: http://aetic.theiaer. org/archive/v5/v5n5/p23.html. Review Article
Marine mammal conservation: over the horizon

S.E. N. acknowledges funding from the Natural Environment Research Council (NE/L002434/1). S.E. N. and B.J.G. also acknowledge support from the European Union (INDICIT; EU grant agreement no. 110661/2018/794561/SUB/ENV. C2). E.C. has a doctoral fellowship from the World Wildlife Foundation - Education for Nature. M.I. D.C. was supported by the UK Department for Business and Industrial Strategy (BEIS; project number OESEA-16-78). D.J.F.R. was supported by National Capability funding from the UK Natural Environment Research Council (NERC) to the Sea Mammal Research Unit (SMRU) (grant no. SMRU1001). A.B. O. acknowledges funding from the Office of Naval Research (award no. N000141613017). D.M. P. was supported by the Whale Habitat Professorship Endowment Fund, Marine Mammal Institute, Oregon State University. K.A. S. was supported by a Royal Society of New Zealand Te Aparangi Rutherford Discovery Fellowship.
Nationwide Stature Estimation from Length of Sternum Measurements in Montenegrin Adolescents

The purpose of this research is to determine a regression equation for estimation of stature from length of sternum measurements. This research was carried out on 1001 subjects (504 male and 497 female) among the population of Montenegrin adolescents. The stature and length of sternum measurements were taken according to the ISAK protocol, and the data were analyzed statistically. Linear regression analysis determined the prediction of and length of sternum on the criterion variable a body height at the significance level of p <0.05. These relations are presented in the form of scatter diagram. Thereby, we obtained the coefficient of determination, the multiple correlation coefficients, the partial correlation coefficient, the regression, t-test and standardized beta coefficient. The results of this research study confirmed that length of sternum reliably predicts stature in both sexes of Montenegrin adolescents and revealed a very useful finding for physical anthropologists and experts from related fields. It was confirmed that there is a correlation between length of sternum and body height (males: 33.1 %, females: 31.3 %). Therefore, length of sternum has proven to be a reliable predictor on the basis of which the actual body height can be estimated.
THE EFFECT OF AUDIT COMPETENCE, INDEPENDENCE, AND PROFESSIONAL SKEPTISM ON AUDIT QUALITY WITH AUDITOR'S ETHICS AS MODERATION VARIABLES

The quality for auditors must always be monitored to maintain the auditor's reputation. Audit quality has indicators in research use audit competencies, the proxy of independence, such as audit tenure, client pressure, peer review, non audit services, and professional skepticism. An existence of audit deficiency causes a deviation of professional skepticism that causes a decrease in audit quality. This study used by quantitative methods with primary data through the distribution of questionnaires and using data processing with the help of SmartPLS applications. The population was some auditor in the Big Ten KAP with a sample of research using purposive sampling. The results are indicate about audit competence and skepticism influence to audit quality, while audit tenure, client pressure, peer review, and non audit services do not affect audit quality. Auditor ethics as a moderating variable in this study strengthens the relationship of audit competencies and professional skepticism towards audit quality.
The efficacy and safety of thulium laser resection of bladder tumor versus standard transurethral resection in patients with non-muscle-invasive bladder cancer: a systematic review and meta-analysis

Purpose: This study was to analyze the efficacy and safety of thulium laser resection of bladder tumor (Tm-TURBT) versus TURBT for patients with non-muscle-invasive bladder cancer (NMIBC). Materials andMethods: Randomized controlled trial datawere retrieved using theMEDLINE, Embase, Web of Science, and the Cochrane Library. We also searched Chinese databases including Chinese National Knowledge Infrastructure (CNKI), Wanfang data and VIP data. Results: A total of sixteen articles including 1662 participants were enrolled into our meta-analysis. We found no significant difference in terms of operation time, urethral stricture, 1-year recurrence rate, overall 1-year recurrence rate and overall 3-year recurrence rate between the two groups. Less intraoperative blood loss and a lower incidence of obturator nerve reflex (ONR), bladder perforation and bladder irritation were identified in Tm-TURBT group than in TURBT group in our analysis. The analysis also demonstrated faster postoperative recovery in terms of the catheterization, bladder irrigation and hospitalization time in Tm-TURBT group. The subgroup analysis was conducted based on different postoperative chemotherapy (epirubicin and non-epirubicin) concerning recurrence rate whereas no significant difference was noted. Conclusion: Tm-TURBT is an efficient and safe treatment for NMIBC and it could be an alternative choice for TURBT. Given that some limitations are clearly identified, more large-scale andwell-designed RCTs are needed to confirm our findings.
Effect of Prosopis African Seed Coat Meal Treated With Multi- enzymes on the Growth Performance of Broiler Chickens

The study evaluated the effect of Prosopis Africana seed coat meal treated with multi-enzymes on the growth performance of broiler chickens. One hundred and fifty (150) day-old broiler chicks unsexed that were fed for eight (8) weeks in the deep litter management system. The birds were randomly allotted to five (5) dietary treatments with three (3) replications of ten (10) birds each. The diets were formulated with the inclusion of PASCM at 0, 5, 10, 15, and 20% levels for T1-T5 respectively. Data collected were subjected to analysis of variance in a completely randomized design. The result obtained indicated that the experimental diets significantly (P<0.05) affected final body weights, average daily weight gain, and feed conversion ratio across the treatment groups, while initial body weight, average daily feed intake were not significantly (P>0.05) affected across the treatment groups. It is, therefore, suggested that 10% of the PASCM inclusion level could be adopted for optimum growth performance in broiler chicken’s diet. Above 10% growth performance was retarded and losses were incurred.
IoT Based Smart Health Monitoring with CNN Using Edge Computing

In the last years, healthcare monitoring has followed a great upwards grown compared to the past decade with the intrusion of the Internet of Things (IoT). The IoT based health paradigm has a vibrant role in health care services to enhance data processing and data prediction. Fall accidents are common in the elderly persons. IoT with Artificial Intelligence (AI) provides a major paradigm to predict the human control, to analyze the cause of human tendency. Fall detection is a major prevailing need with the elderly person, and in order to mitigate this problem an AI based deep Convolutional neural network is proposed to analyze the cause of falling. The deep convolution neural network has been proposed together with the fog and edge computing to analyze the health monitoring tasks. This work analyses the architecture and motions of the persons for fall detection with the sensor nodes. An experimental study is carried out with a benchmark dataset and the higher accuracy in the classification is obtained with this proposal in the simulation results.
The Impact of Shareholders Participation in Annual Meetings on Earnings Management and Financial Restatement

The current study aims to assess the impact of the shareholders' participation in annual meetingson earnings management and financial restatement. Research hypotheses were examined using a sample of 768 firm-years observations on the Tehran Stock Exchange during 2012-2017. By using the multivariate regression model. The results show a negative and significant relationship between shareholders' partnership in annual meetings and both accrual and real earnings management. Moreover, the results indicate a positive and significant relationship between the shareholders' participation in annual meetings and financial restatement.
EXAMINING THE RELATIONSHIPS AMONG THE CUSTOMER EQUITY DIMENSIONS. EMPIRICAL EVIDENCE FROM FAST FASHION

These days, internet technology has progressed and advanced. Customers today can buy many items on the Internet. These online platforms create opportunities for companies to become part of their customers’ social lives, by shifting marketers toward a strategy of creating experiences as well as managing relationships with individual customers. Mobile communication solutions will be crucial to increasing interaction between customer and employees and will positively influence the shopping experience. The purpose of this paper is to provide an improved understanding of empirical test a cognitive-behavioral model of the perceived benefits of social networking sites (SNSs), trust in SNSs, brand trust, brand loyalty and customer equity in the context of fast fashion brand communities in Jakarta-Indonesia. Data was collected using a panel sampling with 60 participants from the millennial generation. The model was tested using structural equation modeling. The causal model was validated using SmartPLS 3.0. The results indicated that Instagram users who believe they receive practical benefits from engaging in Instagram were likely to trust the sites instead of directly forming trust toward the brand. However, perceived entertainment benefits and social benefits did not influence trust in SNS. This study found that brand trustworthiness is directly predicted by trust in SNS. Brand trust persuades a high degree of brand loyalty for fast fashion brands, and resulting customer retention to ultimately increase sales.
A study on the asset smart management system based on IOT

Background/Objectives: Most companies use a variety of assets for their operations. However, most companies use inefficient methods, such as on-the-spot inspections once or twice a year, instead of using the newest IT technology to manage their valuable assets. Furthermore, there is no pre-control and post-management system to prevent external leakage and the loss of expensive and portable assets. Methods/Statistical analysis : This study aims to study a practical and smart asset management system that can manage the real-time locations and the movement statuses of assets using the existing Radio-Frequency Identification (RFID) technology and the newest Blue-tooth Low Energy (BLE) technology. Improvements/Applications: Through the Smart Asset Management System developed through this study, it was possible to improve the accuracy of assets due diligence and shorten the time, and provide asset position information to the manager in real time, thereby reducing the manpower, time and cost for asset management work. As a result of the study, a Smart Asset Management System (SAMS) was developed using two IoT technologies and the system was used for 11 months in the field. When the relevant system was applied to the field, there were some effects such as,the improvement in accuracy, the reduction in input manpower, the reduction in input time, and the reduction in the number of times of surveyscompared to past manual asset management.
Long-Term Consequences of Menopause Victor manuel vargas hernandez Academic of the Mexican Academy of Surgery Secretary of the Mexican Association for the study of Climacteric

The dramatic changes in sex hormone levels that occur during the transition to menopause and beyond are responsible for the long-term consequences, which are of primary importance to healthy aging in women. Sex hormones have a vital physiological role in maintaining the health and normal functioning of various organs; like bone, heart and brain. Disease activity is highly dependent on estrogen exposure; cardiovascular and musculoskeletal disorders frequently occur during postmenopause. Even cognitive decline is related to hypoestrogenism during the menopausal transition. Several lines of evidence indicate that the presence, duration and severity of menopausal vasomotor symptoms, especially hot flashes, not only have an impact on quality of life, but are biomarkers of increased risk of chronic conditions, which require prevention strategies, including menopausal hormone therapy. Nutrition, exercise, and other lifestyle measures, use of appropriate hormonal treatments in symptomatic women during the "window" of opportunity (under 60 years or within 10 years after menopause) can significantly counteract the process of aging of the female body. Meanwhile an individualized menopausal hormone therapy helps postmenopausal women overcome the burden of symptoms, including those related to Genitourinary Menopause Syndrome.