SQL Injection Detection Using Machine Learning

Sharing information over the Internet over multiple platforms and web-applications has become a quite common phenomenon in the recent times. The web-based applications that accept critical information from users store this information in databases. These applications and the databases connected to them are susceptible to all kinds of information security threats due to being accessible through the Internet. The threats include attacks such as Cross Side Scripting (CSS), Denial of Service Attack (DoS0, and Structured Query Language (SQL) Injection attacks. SQL Injection attacks fall under the top ten vulnerabilities when we talk about web-based applications. Through this kind of attack, the attacker can steal critical and confidential information and hence it could have damaging effects on a business or organization. The effects could range from monetary loss, leaking confidential business information, decrease in company’s stock market value or any combination of these. In this paper we have used an algorithm called Gradient Boosting Classifier from ensemble machine learning approaches to classify and detect SQL Injection attacks

Map of Usage vs. Representation of Services on the Library Homepage - Internal Report

A “heat map” showing use of online services vs. the real estate allotted to them on the homepage. This report was written as an informal internal report and may contain reference to sources like Google Analytics profiles that are not publicly available.Library Web Committeehttp://deepblue.lib.umich.edu/bitstream/2027.42/106778/1/HeatMapShortReport.pd

Assessment of prescribing trends for rational use of drugs

Background: Nowadays irrational use of drugs is a major problem inspite of extensive programs being carried out on rational use of medicines. Therefore, in present study we evaluated OPD prescriptions for rationality and their adherence to prescription format.Methods: A prospective, observational study was carried out in 511 outdoor patients for a period of three months. Quality of prescription writing was assessed for completeness of information and legibility. Rationality was analyzed using WHO core prescribing indicators.Results: Basic information of patient and name of department were written in all the prescriptions. Diagnosis was mentioned in 76.33% cases. Dosage forms, dose, frequency and duration of treatment were mentioned in 97.26%, 73%, 80.04% and 80.23% of prescriptions respectively. About 73.78% prescriptions were legible. Doctor’s name, signature and registration number were present in 80.82%, 82.97% and 15.66%. Total number of drugs in 511 cases was 1074. Average number of drugs/ prescriptions was 2.1±0.8. Drugs were prescribed by generic name in 25.14% cases; drugs from EDL were 57.36%. Antimicrobial agents, injectable drugs and FDCs were prescribed in 25.83%, 12.13% and 39.14% cases. The most commonly prescribed drugs were analgesics, GIT and cardiovascular drugs.Conclusions:This study shows possible areas of improvement in prescription practice that is generic prescribing, use of essential medicines, restraint in use of irrational fixed dose combinations and better quality of prescribing in terms of inclusiveness of information, legibility and doctor’s details.

Model Agnostic Probes of Dark Sectors at Neutrino Experiments

Present and upcoming neutrino experiments can have considerable sensitivity to dark sectors that interact feebly with the Standard Model. We consider dark sectors interacting with the SM through irrelevant portals that are motivated on general principles. We derive bounds on such scenarios by considering decays of dark sector excitations inside the neutrino detector, placed downstream from the target. Our approach is model agnostic and applies to a wide range of dark sector models, both strongly and weakly coupled. In this approach, the dark sector is characterized by two scales: $\Lambda_\text{UV}$ (mass of mediators generating the portals) and $\Lambda_\text{IR}$ (mass gap of the dark sector). At intermediate energies, far away from these scales, the theory is approximately scale-invariant. This allows the calculation of production rates independent of the threshold corrections, although some mild model-dependent assumptions are needed. We look at various dark sector production processes relevant at neutrino experiments such as meson decays, direct partonic production, and dark bremsstrahlung. We consider representative experiments from past (CHARM), present (ICARUS, NOvA, MicroBooNE), and upcoming future (DUNE-MPD), and compare their reach to existing bounds from high energy experiments (LHC and LEP) and dedicated future LLP experiments (SHiP). We find that the upcoming DUNE-MPD can probe $\Lambda_\text{UV}$ in the TeV range, and $\Lambda_\text{IR}$ in the 0.1-1 GeV range, covering parts of parameter space currently inaccessible in high energy experiments and fixed-target/beam-dump experiments, and is comparable to future LLP experiments. In general, future neutrino experiments can be an efficient probe of dark sectors, providing complementary as well as new reach in parameter space.Comment: 32 pages, 10 figures, 4 table

Respiratory health of the small scale dairy workers of urban Bhubaneswar, Odisha

Background: Human in close inhabitation with the cattle due to unventilated or inadequately ventilated establishments or inadequate living space, is always at a risk of sustaining infection from the cattle through different modes of disease transmission. This study hints at the increased incidences in respiratory infections among dairy workers in unorganized and small scale dairy farms due to amendable unhygienic practices. Methods: This survey was part of a larger study, conducted after ethics approval. Number of households involved in dairy work surveyed were 60. From every house, two members actively involved in dairy work were chosen and total respondents were 120. The study tool was a semi structured, mixed questionnaire. Results: 67.5% dairy workers self-reported occurrence of respiratory symptoms which included the complaints like cough,breathing difficulty on exertion. None of the dairy workers were vaccinated against any milk borne disease.Conclusion: The housing, civic amenities accessed by them and their awareness are probably the main reasons for wide variety of self perpetuated practices and deviations of standard requirement.Use of protective gear (gloves,caps,masks) should be strictly emphasized and popularized

Hygiene practices and awareness regarding Milk borne diseases (MBD) among dairy workers in unorganized urban settings of Bhubaneswar, Odisha, India

Background: Dairy work is thought to be predominantly a rural occupation. However, due to preferences we see a lot of urban residents consume fresh milk and hence, few people even in the urban areas take up cattle rearing as a cost effective profession. In the midst of much talked re-emerging diseases, caused by close habitation of animals and man, it would be very relevant to see living conditions of these populations and their hygiene practices in a space compromised scenario. In urban settings, they stay in close proximity and due to socioeconomic conditions, dairy workers in do not have appropriate amenities to tend on the cattle,clean or even scope for proper waste disposal. This in nutshell, leads to a disease enabling environment and the study aims at reviewing these living conditions. Besides, an assessment of health conditions of the dairy workers, their awareness regarding the milk borne diseases(MBD) was done. The findings helped generate recommendations for improvement of the profession and ultimately the quality of the milk. Objectives:1) Assess the hygiene practices during the stages of milk collection, storage and transport of milk among the sampled dairy workers from urban unorganized settings of Bhubaneswar. 2) Assess awareness of these workers regarding milk borne diseases. Methodology: This cross?sectional survey was part of a larger study and was conducted in unorganized sector of dairy workers in Bhubaneswar. 60 dairy households were surveyed and from each household, 2 members actively involved in dairy work were selected.The study tool was a semi structured, mixed questionnaire. The questionnaire had 3 sections; A was regarding household information(General sociodemographic details and Housing conditions for 60 HHs); B was to elicit the hygiene status of dairy workers(n=120) during each step of their work, their milk handling details during milk collection, storage and transportation; C had questions to assess the awareness of dairy worker regarding MBD. Results: Hygiene practices were very dismal at all points like milking,storage and transportation. Only 5.0% dairy households practised cleaning udder twice- prior to and after milking. Only 35% households kept the milk storage containers covered. 44.2% workers agreed that “MBD” is a community health problem. On general examination, pallor and icterus was found among workers. This strongly brings out that this group not only have the potential to be infected by zoonotic diseases, but can also transmit it to through the milk they are selling. A felt need is assessed for these workers in terms of creating standards of hygiene practices of cattle and milk handling and also impart them training on improving their occupational practices

Mobile Survey Report - 2012

The Mobile Library Group conducted a follow-up to their 2009 Mobile Survey that received a total of 2400 responses. The survey goals were to see how university mobile use has changed over time and to learn about current use of MLibrary mobile services launched after the first survey.Mobile Library Grouphttp://deepblue.lib.umich.edu/bitstream/2027.42/106780/1/MobileSurvey_2012.pd

Effect of beyond mean-field interaction on the structure and dynamics of the one-dimensional quantum droplet

We present simulation results of the ground state structure and dynamics of quantum droplets in one-dimensional spin-orbit coupled binary Bose-Einstein condensates. We have considered two cases for this analysis, such as (i) the mean-field term has a vanishingly small contribution utilizing the equal and opposite inter- and intraspecies interaction and (ii) unequal inter- and intraspecies interaction. For both cases, it shows remarkably different natures of the quantum droplet. In the former case, it exhibits bright sech-like droplet nature, while in the latter case, we find the flattened sech-like shape of the droplet. Further, we analyze the effect of velocity perturbation on the dynamics in both cases. For the first case, we find a systematic change from the solitonic droplet nature to the breathing droplet which finally has a moving droplet feature upon increasing the velocity. However, the second case shows similar dynamics except having more dynamically stable features than the first. Finally, we present various dynamics that ensued in the quantum droplet due to the quenching of the interaction parameters, coupling parameters or allowing the droplet to undergo collisions.Comment: 14pages, 18figure

Functional Importance of Endophytic Microorganisms in Plant Growth Promotion Bioactive Compound Production for Sustainable Agriculture

Endophytes constitute living microorganisms inhabiting inside tissues of plants. Endophytes perform criticalfunctions in upgrading the growth of plants and their defense to fight stress by a variety of phytohormones, biologically active compounds, volatile organic compounds, and biotechnologically valuable enzymes. How biological nitrogen fixation, nutrient uptake, and disease suppression occurs by endophytes, have been discussed in detail in the review. The mutual symbiotic relationship enhances plant growth, fitness, physiology, and metabolite production ability. Endophytes inhibit the invasion of pathogenic microorganisms and protect crops against diseases. Endophytes are also involved in strategies for environmental clean-up such as biodegradation, bioremediation, and phytoremediation. Therefore, it is necessary to analyze and study the mechanisms of interactions, colonisation, diversity, and functionalities for successful implications in agriculture. Thus, the endophytic relationship opens possibilities for medicine, agriculture, and biotechnology. The present review emphasizes the importance of endophytes in sustainable agriculture under several adverse environmental impacts through a better understanding of their functioning inside the plant

Supporting Collaborative Health Tracking in the Hospital: Patients' Perspectives

The hospital setting creates a high-stakes environment where patients' lives depend on accurate tracking of health data. Despite recent work emphasizing the importance of patients' engagement in their own health care, less is known about how patients track their health and care in the hospital. Through interviews and design probes, we investigated hospitalized patients' tracking activity and analyzed our results using the stage-based personal informatics model. We used this model to understand how to support the tracking needs of hospitalized patients at each stage. In this paper, we discuss hospitalized patients' needs for collaboratively tracking their health with their care team. We suggest future extensions of the stage-based model to accommodate collaborative tracking situations, such as hospitals, where data is collected, analyzed, and acted on by multiple people. Our findings uncover new directions for HCI research and highlight ways to support patients in tracking their care and improving patient safety