mlsa-iai-msu-lab/ru_sci_bench_zho_cite_reranking huggingface dataset:
MEC-Assisted Flexible Transcoding Strategy for Adaptive Bitrate Video Streaming in Small Cell Networks

Adaptive bitrate video streaming (ABR) has become a critical technique for mobile video streaming to cope with time-varying network conditions and different user preferences.However,there are still many problems in achieving high-quality ABR video streaming over cellular networks.Mobile Edge Computing (MEC) is a promising paradigm to overcome the above problems by providing video transcoding capability and caching the ABR video streaming within the radio access network (RAN).In this paper,we propose a flexible transcoding strategy to provide viewers with low-latency video streaming services in the MEC networks under the limited storage,computing,and spectrum resources.According to the information collected from users,the MEC server acts as a controlling component to adjust the transcoding strategy flexibly based on optimizing the video caching placement strategy.Specifically,we cache the proper bitrate version of the video segments at the edge servers and select the appropriate bitrate version of the video segments to perform transcoding under jointly considering access control,resource allocation,and user preferences.We formulate this problem as a nonconvex optimization and mixed combinatorial problem.Moreover,the simulation results indicate that our proposed algorithm can ensure a low-latency viewing experience for users.
Spatial correlation between groundwater seepage faces and fault zone in high bedrock channel: method and application

The groundwater may recharge the surface water bodies through seepage faces and springs. The spatial correlation between the fault zones and the groundwater seepage faces results in deep understanding of the hydrogeologic regime, especially where there is no monitoring boreholes. Locating these recharging zones by conventional methods is a challenging task; particularly in areas where (1) there is no hydrogeologic monitoring boreholes or reliable data, (2) private pumps withdraw the stream, and (3) intense canopy limits the use of drones and satellite images. This paper aims to study the relationship between the fault zones and occurrence of the groundwater seepage faces by using the high resolution handheld thermal imaging cameras as a tool to locate the seepage faces along a small river in the Damavand County, north of Iran. The correlation between the structural geology features and occurrence of the groundwater seepage faces revealed that the stream in the study area is being recharged by the groundwater at extensive fault zones. Additionally, this study suggests that the handheld thermal imaging cameras are a useful robust tools to evaluate the surface-groundwater interaction. However, it is essential to use the field structural geologic and hydrogeologic observations to interpret the thermal images.
Hydrogen sulfide, a signalingmolecule in plant stress responses

Gaseous molecules, such as hydrogen sulfide(H_2S)and nitric oxide(NO), are crucial players in cellular and(patho)physiological processes in biological systems.The biological functions of these gaseous molecules, which were first discovered and identified as gasotransmitters in animals, have received unprecedented attention from plant scientists in recent decades.Researchers have arrived at the consensus that H_2S is synthesized endogenously and serves as a signaling molecule throughout the plant life cycle.However, the mechanisms of H_2S action in redox biology is still largely unexplored.This review highlights what we currently know about the characteristics and biosynthesis of H_2S in plants.Additionally, we summarize the role of H_2S in plant resistance to abiotic stress.Moreover, we propose and discuss possible redox-dependent mechanisms by which H_2S regulates plant physiology.
Protein kinases in plant responses to drought, salt, and cold stress

Protein kinases are major players in various signal transduction pathways.Understanding the molecular mechanisms behind plant responses to biotic and abiotic stresses has become critical for developing and breeding climate-resilient crops.In this review, we summarize recent progress on understanding plant drought, salt, and cold stress responses, with a focus on signal perception and transduction by different protein kinases, especially sucrose nonfermenting1(SNF1)-related protein kinases(SnRKs), mitogen-activated protein kinase(MAPK)cascades, calcium-dependent protein kinases(CDPKs/CPKs), and receptor-like kinases(RLKs).We also discuss future challenges in these research fields.
Degradation significantly decreased the ecosystem multifunctionality of three alpine grasslands: evidences from a large-scale survey on the Qinghai-Tibetan Plateau

Owing to the joint effects of ecosystem fragility, anthropogenic disturbance and climate change, alpine grasslands (alpine meadow, alpine steppe and alpine desert) have experienced serious degradation during the past several decades. Grasslands degradation has severely affected the delivery of ecosystem multifunctionality (EMF) and services, and then threatens the livelihood of local herdsmen and ecological security of China. However, we still lack comprehensive insights about the effects of degradation and climatic factors on EMF of alpine grasslands, especially for alpine desert ecosystem. Therefore, we applied a large-scale field investigation to answer this question. Our results suggested grassland degradation significantly decreased the belowground ecosystem multifunctionality (BEMF) and EMF of alpine grasslands and aboveground ecosystem multifunctionality (AEMF) of alpine meadow, while did not reduce the AEMF of alpine steppe and desert. Except for the insignificant difference between degraded steppe and degraded desert in AEMF, the alpine meadow showed the highest AEMF, BEMF and EMF, alpine steppe ranked the second and alpine desert was the lowest. AEMF, BEMF and EMF of health alpine grasslands were strongly affected by mean annual precipitation (MAP) (19%-51%) and mean annual temperature (MAT) (9%- 36%), while those of degraded meadow and degraded desert were not impacted by precipitation and temperature. AEMF and BEMF showed a synergistic relationship in healthy alpine grasslands (12%-28%), but not in degraded grasslands. Our findings emphasized the urgency of implementing the feasible ecological restoration project to mitigate the negative influences of grassland degradation on EMF of alpine ecosystems.
Microbial diversity assembled from series-diluted suspensions of diseasesuppressive soil determines pathogen invasion resistance

Soil microbial biodiversity loss caused by agricultural intensification, climate change, and the application of chemical fertilizer has become a serious problem that threatens humans (Wall et al., 2015). One phenomenon responsible for economic and food security issues is soil-borne diseases (Fisher et al., 2012), which were reported to be associated with microbial diversity loss (Shen et al., 2013; Fu et al., 2017). Suppressive soils provide an ideal model for studying the opposing effect of the microbial community against soil-borne pathogen invasion (Schlatter et al., 2017). Our previous work has demonstrated that a suppressive soil shows higher microbial richness than a conducive soil (Shen et al., 2015). Hence, a better understanding of whether microbial diversity is truly a mechanism contributing to the inhibition of pathogen establishment in suppressive soils could contribute to pathogen management. In addition, mixed populations can perform complex functions and are robust to changes in the environment, and synthetic communities retain key features of natural ones (Großkopf and Soyer, 2014), giving us an opportunity to manipulate microbiome assembly at the initial stages. Thus, beyond extremely high diversity, the identification of species or groups of microbes that are responsible for suppression will help to obtain a more comprehensive picture.
Responses of soil phosphorus pools accompanied with carbon composition and microorganism changes to phosphorus-input reduction in paddy soils

In rice-wheat rotation systems, changes in soil phosphorus (P) pools and microorganisms in rice-growing seasons have been studied; however, further investigations are required to test whether these indexes exhibit different responses in wheat-growing seasons. Additionally, such studies need to include potential variations in soil carbon (C) structure and microbial community composition. In this study, a long-term rice-wheat rotation P-input reduction experiment was conducted to observe the variations in soil P pools and C composition in the 7th wheat season and to investigate the responses of soil enzyme activity and microbial communities. Four P fertilization treatments were included in the experiment, i.e., P application for rice season only (PR), for wheat season only (PW), and for both rice and wheat seasons (PR+W) and no P application in either season (Pzero). Compared with PR+W treatment, Pzero treatment significantly decreased (P < 0.05) labile and stable P pools. Different P fertilization regimes altered soil microbial community composition and enzyme activity, whereas C composition did not vary. However, PW treatment resulted in relatively more O-alkyl-C than PR treatment and the highest number of microorganisms. Besides, the higher ratios of fungi/bacteria and Gram-positive bactetia/Gram-negative bactetia were related to labile C pools, particularly O-alkyl-C, as opposed to recalcitrant C. Our results clarified the status of soil P pools, C chemistry, and the response of microorganisms under dry-farming conditions in the P input-reduced rice-wheat rotation system.
Benzotriazole Based 2D-conjugated Polymer Donors for High Performance Polymer Solar Cells

To design high efficiency polymer solar cells (PSCs),it is of great importance to develop suitable polymer donors that work well with the low bandgap acceptors,providing complementary absorption,forming interpenetrating networks in the active layers and minimizing energy loss.Recently,we developed a series of two-dimension-conjugated polymers based on bithienylbenzodithiophene-alt-benzotriazole backbone bearing different conjugated side chains,generally called J-series polymers.They are medium energy bandgap (E_g) polymers (E_g of ca.1.80 eV) with strong absorptions in the range of 400–650 nm,and exhibit ordered crystalline structures,high hole mobilities,and more interestingly,tunable energy levels depending on the structure variations.In this feature article,we highlight our recent efforts on the design and synthesis of those J-series polymer donors,including an introduction on the polymer design strategy and emphasis on the crucial function of differential conjugated side chain.Finally,the future opportunities and challenges of the J-series polymers in PSCs are discussed.
智能可穿戴设备在围术期医学中的应用

全球每年约3.1亿人接受手术治疗,约有17%的患者发生1种以上并发症,其中2.8%死于并发症,换言之,全球每分钟约有3例患者死于术后并发症。降低术后并发症,改善术后转归,不仅可降低术后死亡率,改善患者生活质量,还可减轻由此造成的社会负担。手术核查清单、微创技术以及加速康复外科等都是为了实现这一目标所做的努力。在科技日新月异的今天,麻醉学科能够提出哪些医疗模式创新从而提升围术期医疗安全,改善患者恢复质量?
Non-Abelian generalizations of the Hofstadter model: spin-orbit-coupled butterfly pairs

The Hofstadter model, well known for its fractal butterfly spectrum, describes two-dimensional electrons under a perpendicular magnetic field, which gives rise to the integer quantum Hall effect. Inspired by the real-space building blocks of non-Abelian gauge fields from a recent experiment, we introduce and theoretically study two non-Abelian generalizations of the Hofstadter model. Each model describes two pairs of Hofstadter butterflies that are spin-orbit coupled. In contrast to the original Hofstadter model that can be equivalently studied in the Landau and symmetric gauges, the corresponding non-Abelian generalizations exhibit distinct spectra due to the non-commutativity of the gauge fields. We derive the genuine (necessary and sufficient) non-Abelian condition for the two models from the commutativity of their arbitrary loop operators. At zero energy, the models are gapless and host Weyl and Dirac points protected by internal and crystalline symmetries. Double (8-fold), triple (12-fold), and quadrupole (16-fold) Dirac points also emerge, especially under equal hopping phases of the non-Abelian potentials. At other fillings, the gapped phases of the models give rise to topological insulators. We conclude by discussing possible schemes for experimental realization of the models on photonic platforms.
Demonstrating mate choice copying in spiders requires further research

Mate choice copying—when individuals learn to prefer mates or mate types that have been chosen by others—can influence trait evolution and speciation (Varela et al. 2018; Dion et al. 2019). Most examples of mate choice copying are from fish, birds, and mammals including humans (Varela et al. 2018). However, 2 invertebrate examples—fruit flies and wolf spiders—have been used to argue that the phenomenon may be phylogenetically widespread, and perhaps the rule rather than the exception in nature (Varela et al. 2018). Here, we revisit the evidence for mate choice copying in wolf spiders (Fowler-Finn et al. 2015) in light of new data (Gilman et al. 2018). Then, we discuss why mate choice copying is a phenomenon that is likely to occur in wolf spiders, and why this deserves attention.
Male and female guppies differ in problem-solving abilities

In a number of species, males and females have different ecological roles and therefore might be required to solve different problems. Studies on humans have suggested that the 2 sexes often show different efficiencies in problem-solving tasks; similarly, evidence of sex differences has been found in 2 other mammalian species. Here, we assessed whether a teleost fish species, the guppy, Poecilia reticulata, displays sex differences in the ability to solve problems. In Experiment 1, guppies had to learn to dislodge a disc that occluded a feeder from which they had been previously accustomed to feed. In Experiment 2, guppies had to solve a version of the detour task that required them to learn to enter a transparent cylinder from the open sides to reach a food reward previously freely available. We found evidence of sex differences in both problem-solving tasks. In Experiment 1, females clearly outperformed males, and in Experiment 2, guppies showed a reversed but smaller sex difference. This study indicates that sex differences may play an important role in fish's problem-solving similar to what has previously been observed in some mammalian species.
脊髓电刺激治疗脊柱外伤后神经病理性疼痛临床研究

脊柱外伤常见于重物砸伤、交通事故、高处坠落等,且多影响劳动人口。脊柱外伤后,约30%~80%病人出现慢性疼痛。除椎旁肌、韧带、骨骼等结构损伤后出现慢性伤害感受性疼痛外,脊髓及神经损伤可造成慢性神经病理性疼痛(neuropathic pain, NP),约占脊柱外伤后慢性疼痛的50%,且其中1/3病人为重度疼痛。国内文献一般把这种慢性神经病理性疼痛归入脊髓损伤(spinal cord injury, SCI)后疼痛。脊柱外伤后慢性神经病理性疼痛常用治疗手段包括康复理疗、口服药物、神经阻滞或射频毁损、鞘内持续药物泵入、脊髓背根入髓区毁损、脊髓电刺激(spinal cord stimulation, SCS)等。首先,由于不同脊柱节段损伤,对脊髓和神经的影响并不相同,其造成神经病理性疼痛的机制也可能不同,不同的致痛机制可能会影响治疗效果。其次,有研究认为这类病人疼痛区域感觉多有减退或缺失,并不是SCS的较好适应证。基于上述两个问题,考虑到绝大多数病人脊髓圆锥终止于L1下缘,本研究回顾性分析采用SCS治疗的脊柱外伤后神经病理性疼痛病人,将脊柱损伤节段以L1为界分为两部分,区分单纯马尾神经损伤后神经病理性疼痛和脊髓合并神经根损伤后神经病理性疼痛;根据疼痛区域感觉减退程度,分成感觉减退和感觉缺失两部分;分析不同脊柱损伤节段和不同感觉减退程度与SCS疗效相关性,并随访SCS治疗此类神经病理性疼痛的并发症情况。
6 072例新生儿听力筛查结果分析

目的分析6 072例新生儿听力筛查结果,了解本组新生儿听力损失的发病情况。方法应用畸变产物耳声发射(DPOAE)对福建医科大学附属第一医院2017年1月~2019年9月出生的6 072例活产新生儿进行听力筛查,初筛于出生后48h至出院前完成,初筛未通过者于出生后42天复筛,复筛未通过者于出生后3个月行DPOAE、声导抗、听性脑干反应(ABR)、听性稳态反应(ASSR)等检查,必要时行影像学检查。分析初筛率、复筛率、听力损失检出率,并比较新生儿不同性别、耳别的听力筛查通过率。结果活产新生儿6 072例,实际初筛5 843例(包括新生儿重症监护病房),初筛率96.23%(5 843/6 072);初筛通过5 284例(90.43%,5 284/5 843):左耳通过率92.71%(5 417/5 843)低于右耳通过率(93.80%,5 481/5 843)(χ~2=5.574,P<0.05);男婴通过率89.38%(2 853/3 192)低于女婴(91.70%,2 431/2 651)(χ~2=9.022,P<0.01)。初筛未通过559例,其中474例接受复筛(84.79%,474/559);复筛通过385例(81.22%,385/474);复筛未通过89例,其中77例进行听力学诊断(86.52%,77/89);共确诊听力损失患儿14例,听力损失检出率2.40‰(14/5 843),其中8例轻度听力损失(2例双耳传导性听力损失,1例双耳感音神经性听力损失,1例单耳传导性听力损失,4例单耳感音神经性听力损失),2例双耳中度感音神经性听力损失,1例双耳重度感音神经性听力损失,3例单耳极重度感音神经性听力损失。结论本组新生儿听力损失检出率为2.40‰,女婴听力筛查通过率高于男婴,右耳通过率高于左耳。
弱感光型优质杂交稻新组合高丰优689

高丰优689是广西壮族自治区农业科学院水稻研究所用优质籼型不育系高丰A与恢复系桂689配组育成的弱感光型优质杂交水稻新组合,2019年6月通过广西壮族自治区农作物品种审定委员会审定。
三系杂交中籼新组合巨风优650

巨风优650是湖北省农业科学院粮食作物研究所用巨风2A和R650配组而成的三系杂交中籼新组合,2015和2016年在湖北省中稻品种区域试验中表现出产量高、综合抗性较好、熟期适宜等特点,2019年通过湖北省农作物品种审定委员会审定。
代谢组学在疾病诊断及中药治疗的研究进展

代谢组学是系统生物学的重要组成部分,亦是众多“组学”领域的一大分支。代谢组学主要描述了代谢组中各种小分子代谢物的动态变化,其采用高通量的色谱、质谱和核磁共振等技术,结合统计学方法进行数据分析,识别并定量生物体液(如血液、尿液)、动物或人体的器官组织(如肝、肾脏)和细胞等生物样本中的数千个靶标代谢物,从而反映复杂生命体的整体功能状态[1-3]。因此,代谢组学技术,已被越来越多地应用于中医药领域中,包括生物标志物的识别、药物及药物靶标的发现、疾病的诊断和机制的阐释等[4]。近几年来,代谢组学尤其在方法学开发、疾病诊断和药物作用机制的阐释方面有了最新的研究进展,这也推动了现代医学和中医药学的发展。
被迫纹身致皮肤损伤的法医学鉴定3例

纹身导致的皮肤损伤与常见的擦伤、挫伤、创、皮下组织挫碎所致的皮肤损伤类型不同,且较为罕见,本文就3例被强迫纹身所致的皮肤损伤鉴定进行分析。
片仔癀调控肿瘤细胞凋亡与增殖的途径

片仔癀是国家中药一级保密产品,具有清热解毒、凉血化瘀、消肿止痛之功,可通过调控STAT3、PI3K/Akt、 Notch、Wnt /β-catenin等信号通路,或调节Caspase家族、Bcl-2家族、p53蛋白家族、Ki-67、HGF mRNA等蛋白表达来达到调控肿瘤细胞凋亡和增殖的作用。肿瘤细胞凋亡与增殖紊乱是治疗包括癌症、肝损伤性疾病等疾病的共同病理特征,故片仔癀调控肿瘤细胞凋亡和增殖作用可为相关新药研发提供广泛而扎实的工作基础。本文就片仔癀调控肿瘤细胞凋亡与增殖的效果和途径作一综述,以期为该方的保护和进一步开发提供依据。
裂皮鹅膏毒素成分分析及致小鼠脏器改变

目的研究裂皮鹅膏中的毒素含量分布并观察小鼠毒作用靶器官的病理改变。方法采集引起食物中毒的蘑菇,经鉴定为裂皮鹅膏;超高效液相色谱-串联质谱法测定其鹅膏毒肽和鬼笔毒肽的毒素含量;给KM小鼠一次性腹腔注射裂皮鹅膏2 g/kg(干粉),注射体积10 mL/kg,观察3 h后处死小鼠,取心、肝、脾、肺、肾、肠进行病理检查。结果裂皮鹅膏干粉中的肽类毒素总量为2243 μg/g,其中总鹅膏毒肽为1224 μg/g,α-、β-和γ-鹅膏毒肽含量分别为944、268和12 μg/g,总鬼笔毒肽为1019 μg/g,二羟基鬼笔毒肽、羧基三羟基鬼笔毒肽和羧基二羟基鬼笔毒肽含量分别为989、30 μg/g和未检出。染毒小鼠发生肝、肾细胞坏死并伴有弥漫性出血。结论裂皮鹅膏毒素为剧毒类。裂皮鹅膏对小鼠肝、肾造成严重损害,与人群流行病学报告相符。
景观格局与生态过程的耦合研究:传承与创新

景观格局与生态过程的耦合关系是景观生态学研究的核心主题,耦合研究的范围和程度需要进一步系统梳理。从景观格局与生态过程耦合的内涵、方法等方面,系统总结了当前两者研究的特点以及存在问题。进一步从格局-过程耦合基本理论传承与提升、研究方法现代化和多元化、研究尺度多样化、研究对象的扩展与集成、自然-人文-社会视角的耦合、格局-过程耦合的管理和调控等六个方面展望了未来学科发展方向。最后,提出了未来创新目标,如提高景观格局量化的准确性和针对性、辨明景观格局影响的尺度性、增强生态过程模拟的时效性等。
An Eco-Route Planner for Heavy Duty Vehicles

Driving style, traffic and weather conditions have a significant impact on vehicle fuel consumption and in particular, the road freight traffic significantly contributes to the CO_2 increase in atmosphere. This paper proposes an Eco-Route Planner devoted to determine and communicate to the drivers of Heavy-Duty Vehicles (HDVs) the eco-route that guarantees the minimum fuel consumption by respecting the travel time established by the freight companies. The proposed eco-route is the optimal route from origin to destination and includes the optimized speed and gear profiles. To this aim, the Cloud Computing System architecture is composed of two main components: the Data Management System that collects, fuses and integrates the raw external sources data and the Cloud Optimizer that builds the route network, selects the eco-route and determines the optimal speed and gear profiles. Finally, a real case study is discussed by showing the benefit of the proposed Eco-Route planner.
A Multi-Layered Gravitational Search Algorithm for Function Optimization and Real-World Problems

A gravitational search algorithm (GSA) uses gravitational force among individuals to evolve population. Though GSA is an effective population-based algorithm, it exhibits low search performance and premature convergence. To ameliorate these issues, this work proposes a multi-layered GSA called MLGSA. Inspired by the two-layered structure of GSA, four layers consisting of population, iteration-best, personal-best and global-best layers are constructed. Hierarchical interactions among four layers are dynamically implemented in different search stages to greatly improve both exploration and exploitation abilities of population. Performance comparison between MLGSA and nine existing GSA variants on twenty-nine CEC2017 test functions with low, medium and high dimensions demonstrates that MLGSA is the most competitive one. It is also compared with four particle swarm optimization variants to verify its excellent performance. Moreover, the analysis of hierarchical interactions is discussed to illustrate the influence of a complete hierarchy on its performance. The relationship between its population diversity and fitness diversity is analyzed to clarify its search performance. Its computational complexity is given to show its efficiency. Finally, it is applied to twenty-two CEC2011 real-world optimization problems to show its practicality.
N, P and K use efficiency and maize yield responses to fertilization modes and densities

Optimal planting density and proper fertilization method are important factors to improve maize yield and nutrient utilization. A two-year (2016 and 2017) field experiment was conducted with three plant densities (6.0, 7.5 and 9.0 plants m~(-2)) and three fertilization modes (no fertilizer, 0F; one-off application of slow-released fertilizer, SF; twice application of conventional fertilizer, CF). Results indicated that the grain yields and N, P and K use efficiencies under SF with the optimal planting density (7.5 plants m~(-2)) were the highest among all the treatments in 2016 and 2017. Compared with CF, SF could increase post-silking dry matter accumulation and promote N, P and K uptake at pre- and post-silking stages; this treatment increased grain N, P and K concentrations and resulted in high N, P and K use efficiencies. Nutrient (N, P and K) absorption efficiencies and partial productivity, and nutrient (N and P) recovery efficiency in SF treatment were significantly higher than those in CF treatments under the planting density of 7.5 plants m~(-2). Under both SF and CF conditions, the grain yield, total N accumulation and nutrient use efficiencies initially increased, peaked at planting density of 7.5 plants m~(-2), and then decreased with increasing plant density. Based on the yield and nutrient use efficiency in two years, plant density of 7.5 plants m~(-2) with SF can improve both the grain yield and N, P and K use efficiency of spring maize in Jiangsu Province, China.
Wasserstein Distributionally Robust Option Pricing

In this paper, the option pricing problem is formulated as a distributionally robust optimization problem, which seeks to minimize the worst case replication error for a given distri- butional uncertainty set (DUS) of the random underlying asset returns. The DUS is defined as a Wasserstein ball centred the empirical distribution of the underlying asset returns. It is proved that the proposed model can be reformulated as a computational tractable linear programming problem. Finally, the results of the empirical tests are presented to show the significance of the proposed approach.
Alginate oligosaccharides preparation, biological activities and their application in livestock and poultry

Alginate oligosaccharides (AOS), belonging to the class of functional marine oligosaccharides, are low-molecular polymers linked by β-1,4-mannuronic acid (M) and α-1,4-guluronic acid (G), which could be classically obtained by enzymatic hydrolysis of alginate. With low viscosity and good water solubility, as well as anti-oxidant, immune regulation, anti-bacterial and antiinflammatory activities, AOS have been widely used in medical science and functional food, green agriculture and other fields. As new bio-feed additives, AOS have broad potential applications in animal husbandry. In this review, the sources of alginate, chemical structure and preparation methods of AOS, and their biological activities and application in livestock and poultry are summarized. We expect this review could contribute to lay a foundation of application and further research for AOS in livestock and poultry.
Fine Regularity of Solutions to the Dirichlet Problem Associated with the Regional Fractional Laplacian

In this paper, we study the Holder regularity of weak solutions to the Dirichlet problem associated with the regional fractional Laplacian $\left({ - \Delta } \right)_\Omega ^\alpha $ on a bounded open set $\Omega \subset {\rm\mathbbm{R}}\left({N \ge 2} \right)$ with ${C^{1,1}}$ boundary $\partial \Omega $. We prove that when $f \in {L^p}\left(\Omega \right)$, and $g \in G\left({\partial \Omega } \right)$, the following problem $\left({ - \Delta } \right)_\Omega ^\alpha u = f$ in $\Omega ,u = g$ on ${\partial \Omega }$, admits a unique weak solution $u \in {W^{\alpha ,2}}\left(\Omega \right) \cap C\left({\bar \Omega } \right)$, where $p > \frac{N}{{2 - 2\alpha }}$ and $\frac{1}{2} < \alpha < 1$. To solve this problem, we consider it into two special cases, i.e., $g \equiv 0$ on $\partial \Omega $ and $f \equiv 0$ in $\Omega $. Finally, taking into account the preceding two cases, the general conclusion is drawn.