기존의 사후경과시간(PMI) 추정 방법은 대략적인 사후경과시간의 추정, 사후 48~72시간 경과 또는 부패 시 추정 불가능이라는 문제가 발생하여 최근에는 법의곤충학(Medicolegal entomology)을 통한 최소 사후 경과시간 (PMImin) 추정이 더욱 강조되고 있다. 이로 인해 시식성파리의 발육 성장속도 파악은 시체의 최소 사후 경과시간 추정에 있어 효과적인 도구로 활용될 수 있다. 본 연구에서는 곱슬털쉬파리(Parasarcophaga. similis)를 사육대상 종으로 선정하였다. P. similis는 부패한 시체를 섭식하는 시식성파리 중 하나로서, 발육 성장 속도에 따른 법곤충 학적(Forensic entomology) 최소 사후 경과시간을 추정하는 데 중요한 지표가 된다. 실험에 사용된 대상종의 경우, 경북 칠곡군 지천면 일대에서 6~9월경 야외쉬파리 채집하였고, 종 동정, 사육 및 증식, 예비 실험을 거친 후 본실험 을 진행하였다. 본실험은 산란 집단 케이지 내에서 산란 유도 후 12시간 간격으로 6개체를 샘플링하였고, 이를 Leica M125 Microscope (Leica Microsystems, Germany), EG-2HDNL(이지테크, Korea)로 이미지와 측정치를 확보 하였다. P. similis를 16~34°C 사이 7개의 온도 조건에서 성장 속도 측정을 3회 반복 실험하였으며, 곱슬털쉬파리의 최초 출현시점, 특정 온도 조건 별 발육 성장 속도 측정, 유충 몸길이 데이터, 이미지 자료, 표본 등을 확보하였다. 16, 19, 22, 25, 28, 31, and 34°C에서 P. similis의 알에서 성충까지의 발달 기간은 각각 822.0±5.9, 605.0±12.2, 442.3±9.4, 339.3±6.1, 289.3±7.5, 253.0±8.0, and 248.7±3.4h이 경과함을 확인하였다. 본 연구의 결과는 P. similis의 성장과정 데이터와 PMImin추정을 위한 지표로서 활용가능한 데이터를 제공한다.

This presentation explores the application of Artificial Intelligence (AI) in entomology beyond traditional image analysis. It highlights AI's potential in auditory and olfactory analysis, areas less explored in entomological research. Utilizing machine learning, AI enhances insect classification and ecosystem assessment through improved analysis of existing data. The discussion includes AI's capability in developing indices for habitat evaluation using insects as bioindicators, emphasizing its versatility across different research areas within entomology. This approach aims to broaden the scope of AI applications, promoting a deeper understanding of ecological dynamics through entomological studies.

Scanning probe microscopy (SPM) has become an indispensable tool in efforts to develop the next generation of nanoelectronic devices, given its achievable nanometer spatial resolution and highly versatile ability to measure a variety of properties. Recently a new scanning probe microscope was developed to overcome the tip degradation problem of the classic SPM. The main advantage of this new method, called Reverse tip sample (RTS) SPM, is that a single tip can be replaced by a chip containing hundreds to thousands of tips. Generally for use in RTS SPM, pyramid-shaped diamond tips are made by molding on a silicon substrate. Combining RTS SPM with Scanning spreading resistance microscopy (SSRM) using the diamond tip offers the potential to perform 3D profiling of semiconductor materials. However, damage frequently occurs to the completed tips because of the complex manufacturing process. In this work, we design, fabricate, and evaluate an RTS tip chip prototype to simplify the complex manufacturing process, prevent tip damage, and shorten manufacturing time.

바이폴라막은 양이온교환층과 음이온교환층 및 양극접합층으로 이루어진 이온교환막으로 물 분해 특성을 기반으 로 하여 프로톤과 수산화 이온을 생성시키는 막이다. 이러한 특성을 이용하여 화학 산업, 식품 가공, 환경 보호, 에너지 변환 및 저장과 같은 다양한 응용 분야에서 연구가 되고 있다. 본 논문에서는 바이폴라막 기술에 대한 종합적인 이해를 제공하기 위해 바이폴라막의 개념 및 물 분해 메커니즘과 물 분해 촉매에 대한 조사하였다. 마지막으로 최근 에너지 기술에 적용되고 있는 바이폴라막 프로세스를 조사하였다.

Digital dentistry has witnessed significant advancements in recent years, driven by extensive research following the introduction of cutting-edge technologies such as CAD/CAM and 3D oral scanners. Until now, 2D images obtained via x-ray or CT scans were critical to detect anomalies and for decision-making. This review describes the main principles and applications of supervised, unsupervised, and reinforcement learning in medical applications. In this context, we present a diverse range of artificial intelligence networks with potential applications in dentistry, accompanied by existing results in the field.

This study aimed to a sign device using quantum dot film. We synthesized quantum dots with an absolute quantum yield of more than 95% using the solution process method, coated the quantum dot film by mixing it with acrylate resin, made a sign device, and studied the improvement of visibility, and obtained the following conclusions. Quantum dots with absolute quantum yield of 97.63% at 535 nm and 97.85% at 615 nm were synthesized by doping InP with GaP and stacking ZnSe and ZnS composite shells. The synthesized quantum dots were mixed with acrylate syrup at a weight ratio of 10% to coat a film with a luminance uniformity of more than 95%, and the quantum dot film was attached to a luminous display with an insulation capacity of 500 V, an insulation resistance of 99.9 GΩ, and a luminance of 688.5 ㏅/㎠ at white region and 122.3 ㏅/㎠ at red region.

An in-wheel motor is a system in which a drive motor is mounted inside a wheel along with a braking device, and the motor inside the wheel directly drives the wheel. An SR motor drive in replace of the conventional PM motor drive for in-wheel motor system has been proposed and analyzed. Two different types of converters were selected and their feasibility in terms of different current control schemes was analyzed and validated through dynamic simulation using PSIM software.

본 연구에서는 산화 방지 특성이 있는 가리워진 아민기를 함유한 산화 그래핀(hindered amine grafted graphene oxide, HA-GO)을 합성하여 이를 도입한 나피온(Nafion) 기반의 복합 막을 제조한 후 고분자 전해질 막 연료전지 시스템에 응용하였다. HA-GO는 4-아미노-2, 2, 6, 6-테트라메틸-4-피페리딘(4-amino-2, 2, 6, 6-tetramethyl piperidine)에 존재하는 아민 기와 GO 표면에 존재하는 에폭시기의 개환 반응을 통해 제조하였으며, 합성된 HA-GO의 함량을 달리한 복합 막을 제조하여 순수 Nafion 막과 성능 특성을 비교하였다. HA-GO가 첨가된 복합 막은 Nafion 단일 막에 비해 기계적 물성, 화학적 안정성 및 수소이온 전도 특성이 향상되었다. 특히 HA-GO의 산화 방지 특성으로 인해 HA-GO가 첨가된 복합 막은 펜톤 평가 (Fenton’s test) 이후 수소이온 전도도의 유지 특성이 Nafion 단일 막에 비해 큰 폭으로 향상된 것을 확인할 수 있었다.

직접 메탄올 연료전지(direct methanol fuel cell, DMFC)는 연료의 개질 없이 메탄올 연료를 공급하여 수소이온과 전자 생성을 통해 전류를 생산하는 에너지 변환 장치이다. 현재 DMFC에 적용되고 있는 고분자 전해질 막(polymer electrolyte membrane, PEM)은 높은 수소이온 전도도와 물리화학적 안정성을 갖는 과불소화계 이오노머를 활용한 PEM이지만, 높 은 메탄올 투과율과 분해 시 발생되는 환경 오염 물질 등의 문제로 인해 신규 소재 개발이 요구되고 있다. 최근 들어, 과불소 화계 이오노머에 비해 낮은 연료 투과율 및 우수한 물리화학적 안정성을 갖는 탄화수소계 고분자 기반 PEM을 DMFC에 적 용하는 연구들이 보고되고 있다. 본 총설에서는 탄화수소계 고분자 기반 PEM 중 1) 친수성/소수성 영역의 뚜렷한 나노 상분 리 구조를 나타내는 가지형 공중합체를 합성하여 수소이온 전도성과 메탄올의 선택도를 향상시킨 연구, 2) 제막 단계에서 가 교 구조를 도입하여 메탄올 투과율을 감소시키고 치수 안정성을 향상시킨 연구, 3) 유/무기계 첨가제 및 다공성 지지체를 도 입하여 성능을 개선한 복합 막 개발 연구에 대해 소개하고자 한다.

Carbon is not only an essential element for life but also a key player in climate change. The radiocarbon (14C) analysis using accelerator mass spectrometry (AMS) is a powerful tool not only to understand the carbon cycle but also to track pollutants derived from fossil carbon, which have a distinct radiocarbon isotope ratio (Δ14C). Many studies have reported Δ14C of carbon compounds in streams, rivers, rain, snow, throughfall, fine particulate matter (PM2.5), and wastewater treatment plant effluents in South Korea, which are reviewed in this manuscript. In summary, (1) stream and river carbon in South Korea are largely derived from the chemical weathering of soils and rocks, and organic compounds in plants and soils, strongly influenced by precipitation, wastewater treatment effluents, agricultural land use, soil water, and groundwater. (2) Unprecedentedly high Δ14C of precipitation during winter has been reported, which can directly and indirectly influence stream and river carbon. Although we cannot exclude the possibility of local contamination sources of high Δ14C, the results suggest that stream dissolved organic carbon could be older than previously thought, warranting future studies. (3) The 14C analysis has also been applied to quantify the sources of forest throughfall and PM2.5, providing new insights. The 14C data on a variety of ecosystems will be valuable not only to track the pollutants derived from fossil carbon but also to improve our understanding of climate change and provide solutions.

An optical fluorescence quenching sensor based on functionally modified iron-doped carbon nanoparticles was designed for the selective and sensitive Cr(VI) ion detection. Multifunctional iron-doped carbon nanoparticles were enclosed in the scaffolds of a promising stable nanocarrier system called hyperbranched polyglycerol (HPG), which has been fluorescently modified with 1-pyrene butyric acid using the Steglich esterification procedure. The therapeutic and diagnostic capabilities were boosted when these nanoparticles were enclosed in the fluorescently modified dendritic structure, HPG. Iron-doped carbon nanoparticles coupled with fluorescently modified hyperbranched polyglycerol can be used as a sensor for metal ions and can then be used to successfully remove them from a sample. Moreover, the synthesised nanoparticles demonstrated promising antimicrobial efficacy against bacteria and fungi. These results are also discussed in detail.

In recent years, supercapacitors have attracted extensive attention due to their advantages such as fast charge and discharge rate, high power density and long cycle life. Because of its unique porous structure and excellent electrochemical properties, heteroatom-doped porous carbon (HPC) is deemed as a promising electrode material for supercapacitors. However, it is a great challenge to synthesize electrode materials with large surface area, ultra-high porosity and good electrochemical performance. In this work, two-dimensional conjugated microporous polymers (CMPs) containing ketones were synthesized by a simple one-step coupling reaction and used as carbon precursors. A series of samples (CMP-Ts) were prepared with the procedures of coupling reaction and carbonization. The optimized carbon material has high specific surface area (up to 2229.85 m2 g− 1), porous structure, high specific capacitance (375 F g− 1 at 0.5 A g− 1), and good cycling stability (capacitance retention of 98.8% after 1000 cycles at 5 A g− 1). Further, the supercapacitor has an energy density of 28.8 Wh kg− 1 at a power density of 5000 W kg− 1. This work lays a foundation for the preparation of carbon materials using microporous polymer as a precursor system, provides a new way of thinking, and demonstrates a great potential of high-performance supercapacitors.