Owing to the great demand for portable and wearable chemical sensors, the development of all-solid-state potentiometric ion sensors is highly desirable considering their simplicity and stability. However, most ion sensors are challenged by the penetration of water and gas molecules into ion-selective membranes, causing unstable and undesirable sensing performances. In this study, a hydrophobic ionic liquid-modified graphene (Gr) sheet was prepared using a fluid dynamics-induced exfoliation and functionalization process. The high hydrophobicity and electrical double-layer capacitance of Gr make it a potential solid-state ion-to-electron transducer for the development of potentiometric sodium-ion ( Na+) sensors. The as-prepared Na+ sensors effectively prevented the formation of the water layer and penetration of gas species, resulting in stable and high sensing performances. The Na+ sensors showed a Nernstian sensitivity of 58.11 mV/[Na+] with a low relative standard deviation (0.46), fast response time (5.1 s), good selectivity (K < 10− 4), and good durability. Furthermore, the Na+ sensor demonstrated its feasibility in practical applications by measuring accurate and reliable ion concentrations of artificial human sweat and tear samples, comparable to a commercial ion meter.

A facile and efficient method was developed to prepare highly stretchable and conductive graphene conductors with wrinkled structures by the mechanical stretching and shrinking of elastomeric substrates, in which graphene inks were printed on a prestretched elastomeric substrate. Stretchable and exfoliated graphene inks were prepared by mixing graphite and Ecoflex in a shear-assisted fluid dynamics reactor. The resultant graphene conductor exhibited excellent stretchability at 150% strain and high electrical conductivity of 64 ± 1.2 S m− 1. The resistance of the conductor did not change in bent, twisted, and stretched states. The resistance did not change during 10,000 cycles of stretching/releasing, with a maximum strain of 150%. Based on the graphene conductor, a stretchable conductometric sensor with a two-electrode configuration was fabricated to measure impedance changes at different concentrations of electrolyte ions. This sensor exhibited a good and linear sensitivity curve (298.61 Ω mM− 1, R2 = 0.999) in bent and stretched states.

In weapon assignment studies to defend against threats such as ballistic missiles and long range artillery, threat assessment was partially lacking in analysis of various threat attributes, and considering the threat characteristics of warheads, which are difficult to judge in the early flight stages, it is very important to apply more reliable optimal solutions than approximate solution using LP model, Meta heuristics Genetic Algorithm, Tabu search and Particle swarm optimization etc. Our studies suggest Generic Rule based threat evaluation and weapon assignment algorithm in the basis of various attributes of threats. First job of studies analyzes information on Various attributes such as the type of target, Flight trajectory and flight time, range and intercept altitude of the intercept system, etc. Second job of studies propose Rule based threat evaluation and weapon assignment algorithm were applied to obtain a more reliable solution by reflection the importance of the interception system. It analyzes ballistic missiles and long-range artillery was assigned to multiple intercept system by real time threat assessment reflecting various threat information. The results of this study are provided reliable solution for Weapon Assignment problem as well as considered to be applicable to establishing a missile and long range artillery defense system.

Background: A hip fracture may occur spontaneously prior to the hip impact, due to the muscle pulling force exceeding the strength of the femur. Objects: We conducted falling experiments with humans to measure the activity of the hip muscles, and to examine how this was affected by the fall type. Methods: Eighteen individuals fell and landed sideways on a mat, by mimicking video-captured real-life older adults’ falls. Falling trials were acquired with three fall directions: forward, backward, or sideways, and with three knee positions at the time of hip impact, where the landing side knee was free of constraint, or contacted the mat or the contralateral knee. During falls, the activities of the iliopsoas (Ilio), gluteus medius (Gmed), gluteus maximus (Gmax) and adductor longus (ADDL) muscles were recorded. Outcome variables included the time to onset, activity at the time of hip impact, and timing of the peak activity with respect to the time of hip impact. Results: For Ilio, Gmed, Gmax, and ADDL, respectively, EMG onset averaged 292, 304, 350, and 248 ms after fall initiation. Timing of the peak activity averaged 106, 96, 84, and 180 ms prior to the hip impact, and activity at the time of hip impact averaged 72.3, 45.2, 64.3, and 63.4% of the peak activity. Furthermore, the outcome variables were associated with fall direction and/or knee position in all but the iliopsoas muscle. Conclusion: Our results provide insights on the hip muscle activation during a fall, which may help to understand the potential injury mechanism of the spontaneous hip fracture.

We report potentiometric performances of ion-to-electron transducer based on reduced graphene oxide (RGO) for application of all-solid-state potassium ion sensors. A large surface area and pore structure of RGO are obtained by a hydrothermal self-assembly of graphene oxide. The extensive electrochemical characterization of RGO solid contact at the interface of ionselective membrane and gold electrode shows that the potassium ion-selective electrode based on RGO had a high sensitivity (53.34 mV/log[K+]), a low detection of limit (− 4.24 log[ K+], 0.06 mM) a good potential stability, and a high resistance to light and gas interferences. The potentiometric K+- sensor device was fabricated by combining of screen-printed electrodes and a printed circuit board. The K+- sensor device accurately measures the ion concentration of real samples of commercial sports drinks, coke and orange juice, and then transfers the collected data to a mobile application through a Bluetooth module. The screen-printed ion sensors based on RGO solid contact show a great potential for real-time monitoring and point-of-care devices in human health care, water-treatment process, and environmental and chemical industries.

최근 지구온난화로 인한 기후변화는 육상 및 해양 생태계에 다양한 영향을 미치고 있다. 농업생태계 역시 이들 생태계에 의존하고 있는 생물 및 인간에게 생물학적, 경제학적, 사회학적으로 다양한 영향을 주고 있다. 기후변화를 쉽게 감지할 수 있는 지표종은 기후변화에 비교적 민감하게 반응을 나타내기 때문에 농업생태계와 같은 경제 사회적 영향을 많이 받는 곳에서 다양하게 활용될 수 있다. 2017년 농업과학원에서는 농업생태계에서 기후변화에 따른 영향을 잘 나타낼 수 있는 식물과 무척처동물 30종을 지표종으로 선정하였다. 30종 중 나비목에 속하는 종으로는 배추흰나비(Pieris rapae), 남방노랑나비(Eurema mandarina), 노랑나비(Colias erate), 호랑나비(Papilio xuthus) 4종이다. 이 연구는 나비 지표종 중 농업생태계에서 가장 풍부하고 확인이 쉬운 배추흰나비를 대상으로 전남, 충북, 경기, 강원지역에서 4월부터 월 1-2회 모니터링을 실시하여 생물계절의 차이를 알아보았다. 조사는 각 지역에서 논과 밭, 산림 등을 포함하는 경로를 선정하여 30분간 이동하면서 좌우 5m내외 출현하는 나비를 조사하는 선 조사법을 실시하였다. 4월 이후부터 조사한 결과 전남에서는 4월초인 14째 주에 이미 많은 수가 관찰된 반면 충북, 경기 등지에선 15째 주 이후 관찰되기 시작하였다. 강원도에서는 6월 중순인 24째부터 관찰되어 위도별 출현 양상의 차이를 나타내었다. 9월말까지 관찰된 생활사 수는 전남에서는 5회, 경기도에서는 4-5회, 충북에서는 4회, 강원에서는 2회로 지역별 차이를 나타내었다. 이러한 결과는 농업생태계에서 흔히 볼 수 있는 배추흰나비가 위도별로 출현시기와 출현횟수를 달리하면서 나타나는 것을 통해 기후변화를 나타낼 수 있는 지표종으로 적절하다고 여겨지며 앞으로도 전국적으로 지속적인 모니터링을 통해 정밀한 출현양상과 미래 분포 변화 모델링 작업에 효과적으로 이용될 수 있는 기초자료를 제공할 수 있을 것으로 여겨진다.