Magnetic interactions in the Martensitic phase of Mn rich Ni-Mn-In shape memory alloys

The magnetic properties of Mn$_{2}$Ni$_{(1+x)}$In$_{(1-x)}$ ($x$ = 0.5, 0.6, 0.7) and Mn$_{(2-y)}$Ni$_{(1.6+y)}$In$_{0.4}$ ($y$ = -0.08, -0.04, 0.04, 0.08) shape memory alloys have been studied. Magnetic interactions in the martensitic phase of these alloys are found to be quite similar to those in Ni$_2$Mn$_{(1+x)}$In$_{(1-x)}$ type alloys. Doping of Ni for In not only induces martensitic instability in Mn$_2$NiIn type alloys but also affects magnetic properties due to a site occupancy disorder. Excess Ni preferentially occupies X sites forcing Mn to the Z sites of X$_2$YZ Heusler composition resulting in a transition from ferromagnetic ground state to a state dominated by ferromagnetic Mn(Y) - Mn(Y) and antiferromagnetic Mn(Y)-Mn(Z) interactions. These changes in magnetic ground state manifest themselves in observation of exchange bias effect even in zero field cooled condition and virgin magnetization curve lying outside the hysteresis loop.Comment: Accepted in J. Appl. Phy

Assessment of ill health behaviors of lime kilns workers at Maihar and Jhukehi region of Madhya Pradesh, India

In present study, an extensive health survey of 573 lime kiln workers of Maihar and Jhukehi region of Madhya Pradesh was done for impact assessment of occupational and environmental health hazards’ exposure on their health behavior. Various physical and physiological disorders of workers were screened with the cooperation of physicians and consultants. Among the observed health anomalies, eye disorders with 39.08% were ranked the highest, followed by respiratory disorders (20.06%), cardiovascular disorders (17.44%), skin disorders (15.70%), and gastrointestinal disorders (7.64%). Health illness was observed to increase with aging and length of hazard exposure.Key words: Lime kilns, respiratory disorder, skin disorder, respiratory disorder, cardiovascular disorder

A Compendium of Potential Biomarkers of Pancreatic Cancer

Akhilesh Pandey and colleagues describe a compendium of potential biomarkers that can be systematically validated by the pancreatic cancer community

Neuromatch Academy: a 3-week, online summer school in computational neuroscience

Neuromatch Academy (https://academy.neuromatch.io; (van Viegen et al., 2021)) was designed as an online summer school to cover the basics of computational neuroscience in three weeks. The materials cover dominant and emerging computational neuroscience tools, how they complement one another, and specifically focus on how they can help us to better understand how the brain functions. An original component of the materials is its focus on modeling choices, i.e. how do we choose the right approach, how do we build models, and how can we evaluate models to determine if they provide real (meaningful) insight. This meta-modeling component of the instructional materials asks what questions can be answered by different techniques, and how to apply them meaningfully to get insight about brain function

Global allergy research during 1994-2013: a scientometric study

16-23<span style="font-size:9.0pt;mso-bidi-font-size: 11.0pt;font-family:" times="" new="" roman";mso-fareast-font-family:"times="" roman";="" mso-bidi-font-family:"times="" roman";mso-ansi-language:en-us;mso-fareast-language:="" en-us;mso-bidi-language:ar-sa"="" lang="EN-US">An analysis of 34783 papers published by countries on different aspects of allergy during 1994-2013 as indexed by Science Citation Index-Expanded indicates that the output generally increased over the years with maximum publications in 2013. The highest number of publications came from USA, followed by Germany. The publication activity increased significantly for Poland, Turkey and South Korea and went down for Finland, Sweden and Japan in the second block. Data indicates that total output is concentrated in 8 sub-disciplines. Highest output (38.9%) is in the sub-discipline of immunology followed by food allergy (23.9%). During the period of study 718546 citations were received by 34783 papers and the average rate of citations per paper is 20.7. England followed by Sweden, Netherlands and Finland has made the highest impact and Thailand has the lowest impact as seen by the values of Citation per Paper (CPP) and Relative Citation Impact (RCI). Harvard University of USA had published highest 872 papers.</span