An interactive human centered data science approach towards crime pattern analysis

The traditional machine learning systems lack a pathway for a human to integrate their domain knowledge into the underlying machine learning algorithms. The utilization of such systems, for domains where decisions can have serious consequences (e.g. medical decision-making and crime analysis), requires the incorporation of human experts' domain knowledge. The challenge, however, is how to effectively incorporate domain expert knowledge with machine learning algorithms to develop effective models for better decision making. In crime analysis, the key challenge is to identify plausible linkages in unstructured crime reports for the hypothesis formulation. Crime analysts painstakingly perform time-consuming searches of many different structured and unstructured databases to collate these associations without any proper visualization. To tackle these challenges and aiming towards facilitating the crime analysis, in this paper, we examine unstructured crime reports through text mining to extract plausible associations. Specifically, we present associative questioning based searching model to elicit multi-level associations among crime entities. We coupled this model with partition clustering to develop an interactive, human-assisted knowledge discovery and data mining scheme. The proposed human-centered knowledge discovery and data mining scheme for crime text mining is able to extract plausible associations between crimes, identifying crime pattern, grouping similar crimes, eliciting co-offender network and suspect list based on spatial-temporal and behavioral similarity. These similarities are quantified through calculating Cosine, Jacquard, and Euclidean distances. Additionally, each suspect is also ranked by a similarity score in the plausible suspect list. These associations are then visualized through creating a two-dimensional re-configurable crime cluster space along with a bipartite knowledge graph. This proposed scheme also inspects the grand challenge of integrating effective human interaction with the machine learning algorithms through a visualization feedback loop. It allows the analyst to feed his/her domain knowledge including choosing of similarity functions for identifying associations, dynamic feature selection for interactive clustering of crimes and assigning weights to each component of the crime pattern to rank suspects for an unsolved crime. We demonstrate the proposed scheme through a case study using the Anonymized burglary dataset. The scheme is found to facilitate human reasoning and analytic discourse for intelligence analysis

An Interacting Scenario for Dark Energy in Bianchi Type-I Universe

We study the interaction between dark energy (DE) and dark matter (DM) in the scope of anisotropic bianchi type I space-time. First we derive the general form of the dark energy equation of state parameter (EoS) in both non-interacting and interacting cases and then we examine it's future by applying a hyperbolic scale factor. It is shown that in non-interacting case, depending on the value of the anisotropy parameter $K$, the dark energy EoS parameter is varying from phantom to quintessence whereas in interacting case EoS parameter vary in quintessence region. However, in both cases the dark energy EoS parameter $\omega^{de}$, ultimately (i. e at $z=-1$) tends to the cosmological constant ($\omega^{de}=-1$). Moreover, we fixed the cosmological bound on the anisotropy parameter $K$ by using the recent observational data of Hubble parameter.Comment: 12 pages, 6 figures, Research in Astronomy and Astrophysics, 201

Lignocellulose for ethanol production: A review of issues relating to bagasse as a source material

Fossil fuels reservoirs have been declared to serve mankind’s needs more for a very limited time period. This notion has already initiated scientific search for alternatives. Amongst renewable resources for emerging biotechnological strategies to produce high energy-less volume fuels, cellulose is the most abundantly synthesized but stable carbohydrate of the biosphere. Cellulose has earlier been taken into account for chemical/biological saccahrification and subsequent biological conversion of the monomeric sugars to ethanol. The stable nature of the substrate and some of the monomeric products’ fermentation difficulties have been the major hardles. But because of its ubiquitous nature and being the most abundantly available renewable resource, research on the utilization of cellulose for obtaining the biofuel has continued and has been representing by diverse fields. Following the recognition of different bacteria and yeasts and various kinetics of the process involved in its saccahrification, the substrate is increasingly being worked out by different laboratories. Biotechnological endeavors are in fact reshaping the economics of different countries. Production of high grade sweeteners with low caloric values by the contemporary biotechnological processes is likely to influence the conventional sucrose production negatively. The raw material for sugar industry would be available for other products such as ethanol. At present, cellulosic waste of such industries for example, sugarcane bagasse, may be targeted for sacharification and ethanologenesis. Various aspects regarding the nature of the cellulosic substrate and its potential for obtaining the biofuel are covered in this review.Key words: Biofuel, cellulose and ethanol, xylose fermentation, environmental rehabilitation

Associative search through formal concept analysis in criminal intelligence analysis

Criminal Intelligence Analysis often requires a search different from the semantic and keyword based searching to reveal the associations among semantically and operationally connected objects within a crime knowledge base. In this paper we introduce associative search as a search along the networks of association between objects like people, places, other organizations, products, events, services, and so on. We also propose an associative search model based on the 5WH associated concepts of a crime, i.e. WHAT (what has happened), WHO (who was involved in the crime), WHEN (the temporal information of the crime), WHERE (the geo-spatial information of the crime) HOW (the modus-operandi used in committing a crime). We have employed Formal Concept Analysis theory to reveal the associations, highlighting Hot Spots, offender‘s profile and its associated offenders in a criminal activit

Mediators of mechanotransduction between bone cells

Mechanical forces are known to regulate the function of tissues in the body, including bone. Bone adapts to its mechanical environment by altering its shape and increasing its size in response to increases in mechanical load associated with exercise, and by decreasing its size in response to decreases in mechanical load associated with microgravity or prolonged bed rest. Changes in bone size and shape are produced by a cooperative action of two main types of the bone cells - osteoclasts that destroy bone and osteoblasts that build bone. These cell types come from different developmental origins, and vary greatly in their characteristics, such as size, shape, and expression of receptor subtypes, which potentially may affect their responses to mechanical stimuli. The objective of this study is to compare the responses of osteoclasts and osteoblasts to mechanical stimulation. This study has allowed us to conclude the following: 1. A mediator is released from a single source cell. 2. The response to the mediator changes with distance. 3. The value of the apparent diffusion coeficient increases with distance. 4. A plausible proposed mechanism is that ATP is released and degrades to ADP. 5. Future experiments are required to confim that ATP is the mediator as suggested

Ethanologenic potential of the bacterium Bacillus cereus NB-19 in media comprising of sugar mill and dairy industrial wastes

Ethanologenic bacterium was cultivated in a suspension of sugarcane bagasse and processed yogurt whey under the predetermined growth optimized conditions. It was found that blending of processeddefatted yogurt whey with 2% sugarcane bagasse (MNCH-9 medium) caused significantly higher growth of the bacterium after 24 h of incubation as compared to the values obtained when the Bacillus cereus-NB-19 was cultivated in MNCH-2 (2% bagasse in distilled water) and MNCH-10 (only processed whey). Saccharification potential of the bacterium increased significantly when the bagasse was supplemented with whey. Glucose contents of the cultured MNCH-9 turned out significantly higher as compared to the corresponding values of MNCH-2 at various sampling periods. Provision of whey caused significant increase in xylose content, so that the media MNCH-9 and MNCH-10 attained 3.77 and 4.74 folds of thepentose sugar, respectively, as compared to the value obtained for the MNCH-2. Likewise, much elevated levels of proteins and lipids were found in the culture fluids of MNCH-9 and MNCH-10 as compared to the corresponding figures for the MNCH-2. Cellulase activities of cultivated MNCH-9 and MNCH-10 turned out to be 5.75 folds higher at first sampling period as compared to the value obtained for MNCH-2 culture. At 12th day of the fermentation, MNCH-9 culture fluid showed more than 30% higherethanol content as compared to the yield obtained in case of MNCH-2. The MNCH-10 expressed ethanol even less than the value found for the MNCH-2. Conclusively, blending of processed whey to sugarcanebagasse is very useful for obtaining yields of the different products including cell mass and ethanol as compared to the cultivation of the B. cereus NB-19 in media containing only bagasse or whey. Theseresults dictate the importance of blending agro-industrial wastes of varying nature for their efficient and economical upgradation tied up with the selection of suitable microorganism(s). Such trends are likely to gain more attention of the scientists in related areas

Diversity of Urinary Tract Pathogens and Drug Resistant Isolates of Escherichia coli in different age and gender Groups of Pakistanis

Purpose: This paper was mainly aimed to investigate drug resistance of the various urinary tract infection (UTI) pathogens from patients of different gender and age groups of Pakistanis. Method: For these purposes, urine samples of 109 patients were analyzed. Samples were screened on CLED agar. Antimicrobial susceptibility testing was performed by Kirby Bauer\'s disc diffusion method. Isolated colonies were processed for biochemical characterization and antibiotic sensitivity to ampicillin, amikacin, augmentin, ceftazidime, ceftriaxone, cefuroxime, cotrimoxazole, ciprofloxin, imipenem, meropenem, tazocine, trimethoprim, gentamicin and nitrofuratoin. Result: E.Coli was found to be the most frequent causative agent of UTIs (66%) followed by Enterococci (8.3%), Candida spp. and Pseodomonas spp. (7.3% each), Klebsiella spp. (5.5%) and Enterobacter spp. (2.7%). Proteus. and Morgenella species were found in less than 1% of the cases. E.coli showed variable antimicrobial resistance to different antibiotics as 92%, 86%, 80%, 62%, 47%, 20% and 4% of the isolates were found to be resistant to ampicillin, cotrimoxazole, ciprofloxin, gentamicin, nitrofuratoin and amikacin, respectively. Conclusion: The most effective in vitro agents were found to be amikacin followed by gentamicin (among the parenterals), and ciprofloxin among the orally administratered ones. A higher prevalence of UTIs was observed in the female population and E.coli showed no resistance to nitrofuratoin in age groups of 50+ and 70+ in both genders. Keywords: Urinary tract infections, Age, Gender, Resistant microbes, E.coli. Tropical Journal of Pharmaceutical Research Vol. 7 (3) 2008: pp. 1025-103

A DIFFERENCE BETWEEN JAPAN AND THE US IN THE CUSTOMER SATISFACTION MODEL FOR MOBILE UTILITARIAN INFORMATION SERVICES

Customer satisfaction and loyalty on mobile information services have been investigated in academic literature. However, there are not many researches on the factors with a specific focus on multiple utilitarian services on a cross-national basis. This research examines the antecedents of customer satisfaction and loyalty through a survey of young adult mobile users in Japan and US, respectively by modifying the American Customer Satisfaction Model (ACSM). The result showed that all of the paths in the estimated models for Japan and US were statistically significant except 3 non-significant paths for the both countries and one non-significant path from Perceived Expectation (PE) to Customer Satisfaction (CS) for US. Also, the estimated coefficients for two countries were very similar in general with a difference in the estimate on the above non-significant path of PE-CS. Since we investigated the antecedents of the common factors for two countries on Customer Satisfaction of multiple utilitarian services, our results may provide useful implications for global marketing in terms of user satisfaction and loyalty. Keywords- Mobile information services, Utilitarian service, ACSM, Customer satisfaction, Perceived expectation, SEM

Shifting the Weight: Applications of AI in Olympic Weightlifting

The role of humans in time-pressured decisionmaking processes within sports has been critically examined in psychological research. This is particularly relevant in complex movement sports such as Dressage, Gymnastics, and Olympic Weightlifting. Not only are humans susceptible to bias, but they also lack the necessary processing capacity to assess intricate movements in real-time. Although some research has been conducted in this space very few use Computer Vision based approaches. To address this issue, this research proposes a novel Computer Vision solution to automate the judging process in Olympic Weightlifting. The solution incorporates LSTM-based Gesture Recognition and Human Pose Estimation using Mediapipe. The feasibility and effectiveness of the proposed solution are assessed by leveraging a combination of videos from the official Olympics YouTube channel and amateur recorded videos captured from the perspective of the Olympic Weightlifting Centre judge. The findings indicate a high degree of success in achieving the research objective. The solution achieved a validation accuracy of 96% and an average F1 score of 0.91. These results demonstrate the plausibility and efficacy of the proposed approach in automating the judging process within Olympic Weightlifting. By automating this process, the potential influence of human bias can be mitigated while improving the real-time assessment of complex movements. The implications of these findings extend beyond Olympic Weightlifting and have the potential to enhance judging processes in other complex movement sports as well