Perovskite Solar Cells go Outdoors: Field Testing and Temperature Effects on Energy Yield

Perovskite solar cells (PSC) have shown that under laboratory conditions they can compete with established photovoltaic technologies. However, controlled laboratory measurements usually performed do not fully resemble operational conditions and field testing outdoors, with day‐night cycles, changing irradiance and temperature. In this contribution, the performance of PSCs in the rooftop field test, exposed to real weather conditions is evaluated. The 1 cm² single‐junction devices, with an initial average power conversion efficiency of 18.5% are tracked outdoors in maximum power point over several weeks. In parallel, irradiance and air temperature are recorded, allowing us to correlate outside factors with generated power. To get more insight into outdoor device performance, a comprehensive set of laboratory measurements under different light intensities (10% to 120% of AM1.5) and temperatures is performed. From these results, a low power temperature coefficient of ?0.17% K^?1 is extracted in the temperature range between 25 and 85 °C. By incorporating these temperature‐ and light‐dependent PV parameters into the energy yield model, it is possible to correctly predict the generated energy of the devices, thus validating the energy yield model. In addition, degradation of the tested devices can be tracked precisely from the difference between measured and modelled power.     

油田野外作业工人慢性疾病调查及职业紧张与神经递质的相关性研究

目的:调查油田野外作业工人慢性疾病患病情况,分析职业紧张与神经递质的相关性。方法:通过整群抽样的方式选取油田野外作业工人2000例作为研究对象,采用自制的慢性非传染性疾病调查量表对所有工人的慢性疾病情况予以调查,采用职业紧张量表对所有工人的职业紧张情况予以调查。采用酶联免疫吸附法检测所有工人血清五羟色胺、去甲肾上腺素以及神经肽Y水平,并采用偏相关分析油田野外作业工人职业紧张与神经递质的相关性。结果:2000例油田野外作业工人慢性疾病发病率最高的前三种疾病分别为颈腰部疾病、高血压、高血脂,占比分别为20.60%、15.35%、11.20%。油田野外作业工人中男性职业任务、个体应对资源评分高于女性,而锻炼工人的个体紧张反应评分低于不锻炼工人(P0.05)。油田野外作业工人中饮酒工人神经肽Y水平低于不饮酒工人,锻炼工人的去甲肾上腺素水平高于不锻炼工人(P0.05)。经偏相关分析可得:油田野外作业工人的职业任务评分与五羟色胺、去甲肾上腺素水平呈正相关(P0.05),个体紧张反应评分与神经肽Y水平呈负相关(P0.05)。结论:油田野外作业工人慢性疾病患病情况不容乐观,且其职业紧张与神经递质存在密切相关,在临床工作中可通过改善油田野外作业工人的职业紧张,从而达到改善其神经递质水平的目的。     

Kinetic,isotherm and thermodynamic investigations on adsorption of trace elements and pigments from soybean oil using high voltage electric field-assisted bleaching: A comparative study

In this study, the amounts of trace elements (Fe (II) and Cu (II)) and pigments (chlorophyll and carotenoid) in soybean oil were evaluated under high voltage electric field (HVEF) bleaching method at different voltage (10 and 20 kV), temperature (35–65 °C), time (0−30 min) and clay percentage (0.5–2 %) and then were compared to the industrial bleaching method (IBM). The kinetic data of ions and pigments adsorbed on activated bentonite clay under IBM and HVEF at two voltages of 10 and 20 kV followed the mechanism of the pseudo-first-order model (PFOM). The carotenoid and chlorophyll equilibrium data followed a Freundlich isotherm type model, which demonstrated multilayer adsorption under HVEF. The thermodynamic parameters (ΔG°, ΔH°, and ΔS°) displayed that the adsorption of trace metal ions and pigments on bentonite clay under IBM and HVEF were feasible, endothermic and spontaneous between 35 and 65 °C. The results indicated that the HVEF, especially at higher voltage, has a high remarkable capability to remove metal ions and pigments from soybean oil than the IBM. The highest removal capacity for metal and pigments of soybean oil bleaching were obtained in the order of HVEF-20 kV > HVEF-10 kV > IBM.     

Determination of inflection points of CyberKnife dose profiles within acceptability criteria of deviations in measurements

AimThe aim of this study was to determine the Inflection Points (IPs) of flattening filter free (FFF) CyberKnife dose profiles for cone-based streotactic radiotherapy. In addition, dosimetric field sizes were determined.BackgroundThe increased need for treatment in the early stages of cancer necessitated the treatment of smaller tumors. However, efforts in that direction required the modeling accuracy of the beam. Removal of the flattening filter (FF) from the path of x-ray beam has provided the solution to those efforts, but required a different normalization approach for the beam to ensure the delivery of the dose accurately. As a solution, researchers proposed a normalization factor based on IPs.Materials and methodsMeasurements using microDiamond (PTW 60019), Diode SRS (PTW 60018) and Monte Carlo (MC) calculations of dose profiles were completed at SAD 80 cm and 5 cm depth for 15–60 mm cones. Performance analysis of detectors with respect to MC calculation was carried out. Gamma evaluation method was used to determine achievable acceptability criteria for FFF CyberKnife beams.ResultsAcceptability within (3%–0.5 mm) was found to be anachievable criterion for all dose profile measurements of the cone beams used in this study. To determine the IP, the first and second derivatives of the dose profile were determined via the cubic spline interpolation technique.ConclusionDerivatives of the interpolated profiles showed that locations of IPs and 50% isodose points coincide.     

Environmental DNA analysis shows high potential as a tool for estimating intraspecific genetic diversity in a wild fish population

Environmental DNA (eDNA) analysis has recently been used as a new tool for estimating intraspecific diversity. However, whether known haplotypes contained in a sample can be detected correctly using eDNA‐based methods has been examined only by an aquarium experiment. Here, we tested whether the haplotypes of Ayu fish (Plecoglossus altivelis altivelis) detected in a capture survey could also be detected from an eDNA sample derived from the field that contained various haplotypes with low concentrations and foreign substances. A water sample and Ayu specimens collected from a river on the same day were analysed by eDNA analysis and Sanger sequencing, respectively. The 10 L water sample was divided into 20 filters for each of which 15 PCR replications were performed. After high‐throughput sequencing, denoising was performed using two of the most widely used denoising packages, unoise3 and dada2 . Of the 42 haplotypes obtained from the Sanger sequencing of 96 specimens, 38 (unoise3 ) and 41 (dada2 ) haplotypes were detected by eDNA analysis. When dada2 was used, except for one haplotype, haplotypes owned by at least two specimens were detected from all the filter replications. Accordingly, although it is important to note that eDNA‐based method has some limitations and some risk of false positive and false negative, this study showed that the eDNA analysis for evaluating intraspecific genetic diversity provides comparable results for large‐scale capture‐based conventional methods. Our results suggest that eDNA‐based methods could become a more efficient survey method for investigating intraspecific genetic diversity in the field.     

不同熟化措施对黑土母质发育的新成土壤有机碳库的影响

基于8年田间定位试验,采用土壤团聚体分组和闭蓄态微团聚体分离技术,将土壤有机质分为总粗颗粒有机质(活性碳库)、总细颗粒有机质(慢性碳库)和总粉黏粒(惰性碳库) 3个组分,探讨不同熟化措施对黑土母质发育而成的新成土壤总有机碳库及不同活性有机碳库的影响,为黑土严重侵蚀地区母质表露后土壤肥力的快速恢复提供依据。试验设置自然恢复(NatF)、苜蓿种植(Alfa)、无肥(F0C0)、化肥(F1C0)、低量有机肥与化肥配施(F1C1)、高量有机肥与化肥配施(F1C2)等6个熟化处理。结果表明:黑土母质经过8年不同熟化处理后,土壤总有机碳和各组分有机碳含量均显著提高;与NatF相比,有机肥与化肥配施(F1C2和F1C1)对土壤总有机碳的提升作用最为明显,增幅分别为60.7%和41.2%;Alfa其次,增幅18. 2%;F0C0或F1C0处理土壤总有机碳与NatF间无显著差异;F1C2和F1C1处理土壤3个组分有机碳含量均显著高于其他熟化处理,与F1C1相比,F1C2处理对各组分有机碳提升作用更为明显;与NatF相比,Alfa处理土壤有机碳的增加主要表现为粉黏粒结合有机碳的增加;F1C0和F0C0处理土壤总细颗粒有机质和总粉黏粒中有机碳与NatF间无显著差异,总粗颗粒有机质中有机碳含量低于NatF。研究表明,在米豆轮作和传统耕作体系下,农田生态系统高量有机物料投入配施化肥能够加速黑土母质的熟化进程,快速提高土壤中活性碳库和惰性碳库的容量,是严重退化黑土有机质快速提升的有效措施。     

施硅对增温稻田CH4和N2O排放的影响

夜间增温幅度大于白天是气候变暖的显著特征。夜间增温影响水稻生产及CH4和N2O排放。硅是作物有益元素,施硅可提高产量,减少稻田CH4排放。增温或施硅单因子对稻田CH4和N2O排放影响已有报道,但二者耦合如何影响水稻生产及稻田CH4和N2O排放,尚不清楚。通过田间模拟试验,研究了夜间增温下施硅对水稻生长、产量及温室气体持续增温/冷却潜势和排放强度的影响。采用铝箔反光膜夜间(19:00-6:00)覆盖水稻冠层进行模拟夜间增温试验。增温设2水平,即常温对照(CK)和夜间增温(NW);施硅量设2水平,即Si0(不施硅)和Si1(钢渣硅肥,200 kgSiO2/ha)。结果表明,施硅可缓解夜间增温对水稻根系活力的抑制作用,降低夜间增温对水稻地上部、地下部干重和产量的抑制作用。夜间增温显著提高CH4累计排放量,而施硅显著降低CH4累计排放量。夜间增温下施硅处理稻田CH4累计排放量在分蘖期、拔节期、抽穗-扬花期和灌浆成熟期比未施硅处理分别低48.12%、49.16%、61.59%和39.13%。夜间增温或施硅均促进稻田N2O排放,夜间增温下施硅在上述生育期以及全生育期的累计排放量依次比对照高78.17%、51.45%、52.01%、26.14%和40.70%。研究认为,施硅可缓解夜间增温对稻田综合增温潜势和排放强度的促进作用。     

基于实地监测的城市林木调控PM2.5能力研究

随着城市的不断扩张,PM_(2.5)污染凸显,引起广泛关注。研究表明,城市林木为城市环境提供了重要的生态保障,在调控、缓解、降低城市PM_(2.5)污染危害等方面发挥极其重要的作用,通过筛选树种、优化配置结构、提高林木质量等方面进行城市林木前瞻性布局。然而,结合前期研究基础如何进一步深入研究并研究突破城市林木调控PM_(2.5)污染机制与机理,实现调控PM_(2.5)效应的最大化、最优化,依然是一个亟待解决的难题,这迫切需要在多尺度、多维度进行调控PM_(2.5)效应研究,并在不同尺度、不同维度进一步进行结合、延伸。对基于实地监测的城市林木调控PM_(2.5)能力研究现状相关文献进行归纳总结,并从林木单位叶面积与形态特征、配置结构特征、气象条件以及其他因素等方面归纳城市林木调控PM_(2.5)机制,同时从城市林木调控PM_(2.5)效应的时间变化特征、水平距离和垂直变化特征、内外变化特征等方面总结城市林木调控PM_(2.5)时空特征。最终提出研究城市林木调控PM_(2.5)效应目前存在的主要问题以及未来研究展望。