Optimal dispatching strategy for residential demand response considering load participation

To facilitate the coordinated and large-scale participation of residential flexible loads in demand response(DR),a load aggregator(LA)can integrate these loads for scheduling.In this study,a residential DR optimization scheduling strategy was formulated considering the participation of flexible loads in DR.First,based on the operational characteristics of flexible loads such as electric vehicles,air conditioners,and dishwashers,their DR participation,the base to calculate the compensation price to users,was determined by considering these loads as virtual energy storage.It was quantified based on the state of virtual energy storage during each time slot.Second,flexible loads were clustered using the K-means algorithm,considering the typical operational and behavioral characteristics as the cluster centroid.Finally,the LA scheduling strategy was implemented by introducing a DR mechanism based on the directrix load.The simulation results demonstrate that the proposed DR approach can effectively reduce peak loads and fill valleys,thereby improving the load management performance.

Studying History Education of High School in Taiwan by Causal Layered Analysis

After the 21st century,high school history learning will focus on teachers promoting the twelve-year state education.In recent years,in line with the changes in the new 108-year social curriculum,supporting strategies have been proposed:such as literacy orientation,inquiry and practice,learning process archives,and the structural direction of the controversial Chinese history into East Asian history.Historical learning has indeed had a great impact on the people’s national spiritual education and the development of historical consciousness in Taiwan’s education policy.This is the reason Taiwan’s Ministry of Education strives to improve students’historical literacy and connotation application abilities.When developing a learning policy,both external and internal learning factors need to be considered.The external aspect deals with the reasons for learning:Is learning for the purpose of using or accumulating historical wisdom in daily life to learn from the past and the present,on the other hand,to test the content of the course and the degree of absorption;or is it specifically for exams or other enlightenment purposes.The internal aspect involves those most affected by the policy:students and teachers.After studying and observing high school history learning policies for decades,some alternative future visions for history learning were found in the method of reflection on future research-the conclusion is that history is interestingly revitalized,and the preferred future is thematic history.According to the famous futurology scholar Sohail Inayatuallah’s proposal:the causal layering model.It helps understand how Taiwan’s historical policies operate.And how teachers and students on the front line respond to changes and take future actions.The key is to change the future:in the process of building an alternative future,whether the internal and external mix has changed or whether you want to try new things and expand your horizons.In fact,the difficulty of teaching lies in students’cooperation and conscious learning.Therefore,in the analysis of learning through alternative futures,is it possible to distinguish between internal and external situations and methods such as:1.Internal:Is education centered on teachers?Or is it student-centered?2.External:Does the Ministry of Education prioritize testing,or encourage teachers to adopt interactive communication and integrate education into the curriculum?Therefore,what is the function and inspiration of studying high school history and life?If thematic history teaching is used:teachers can use thematic learning methods to help students focus on causal relationships,the causes of turning points,or the evolution process of the beginning and end of events.This is more advantageous for testing based on the application topic,and it is easy to test how much understanding and understanding of history?Has an activating effect.By studying history in high school,using the“CLA(Causal layered analysis)”method of future studies,you can enter the stage of worldview exploration with the goal of improving professional depth and emotional level,and use it in your own understanding and utilization of history.Based on research,some insights into the prospects and thinking of learning history in high schools are provided:1.Facing the impact of declining birthrate,Taiwan needs a macro perspective to improve its future competitiveness and look forward to a new perspective on world history,using futuristic cause-and-effect level analysis to combine world changes with daily life applications.2.The study of history in high schools should go into a systematic construction:understand its cause-and-effect relationships and global trends,so teachers play a professional and future role in controlling the use of new information and technology.3.In the future,humans may develop more“intelligent”needs.As a reference from history or to explore the preferred path for the future,there will also be a greater need to innovate and meet challenges.4.Studying high school history has entered the professional field.Through self-exploration,it can be transformed into life affairs and establish the concept and value of lifelong learning.5.In studying the“history of high school learning”,have new prospects for the future of education.Through professional knowledge such as“trend theory and causal hierarchy analysis”of futurology,pursue new horizons and visions,making future education full of hope and possibility.

Effective production of γ-valerolactone from biomass-derived methyl levulinate over CuO_x-CaCO_3 catalyst

The production of?-valerolactone(GVL)from lignocellulosic biomass has become a focus of research owing to its potential applications in fuels and chemicals.In this study,(n)CuOx-CaCO3(where n is the molar ratio of Cu to Ca)compounds were prepared for the first time and shown to function as efficient bifunctional catalysts for the conversion of biomass-derived methyl levulinate(ML)into GVL,using methanol as the in-situ hydrogen source.Among the catalysts with varied Cu/Ca molar ratios,(3/2)CuOx-CaCO3 provided the highest GVL yield of 95.6% from ML.The incorporation of CaCO3 with CuO resulted in the formation of Cu+species in a CuOx-CaCO3 catalyst,which greatly facilitated the hydrogenation of ML.Notably,CuOx-CaCO3 also displayed excellent catalytic performance in the methanolysis products of cellulose,even in the presence of humins.Therefore,a facile two-step strategy for the production of GVL from cellulose could be developed over this robust and inexpensive catalyst,through the integration of cellulose methanolysis catalyzed by sulfuric acid,methanol reforming,and ML hydrogenation in methanol medium.

Base-free oxidative esterification of 5-hydroxymethylfurfural to furan-2,5-dimethylcarboxylate over n-doped carbon-supported Co/Fe bimetallic catalyst under batch-operation or continuous-flow conditions

Developing an efficient and easily available catalyst for the selective conversion of biomass-derived 5-hydroxymethylfurfural(HMF)into furan-2,5-dimethylcarboxylate(FDMC),a valuable biomass-based monomer,remains a high demand but formidable challenge.Herein,a facile strategy for the synthesis of N-doped carbon-supported Co/Fe bimetallic catalyst(CoFe-NC)was developed,which provided an outstanding FDMC yield of 93%in a batch reactor(base-free,80℃,2 bar O_(2),4 h).Interestingly,CoFe-NC also gave a high FDMC yield of 91%under continuous-flow conditions for 80 h(5 bar O_(2),80℃,GHSV 1320 h^(-1),LHSV 0.6 h^(-1),base-free).Notably,it is the first time that a non-noble catalyst gave such a high FDMC yield under continuous-flow conditions.The introduction of Fe could greatly improve both the electron intensity of Co-N_(x)species and basicity of the catalyst,which endowed CoFe-NC with improved O_(2)activation capacity and enhanced dehydrogenation activity for the oxidation-esterification of HMF.This work delineates the efficient strategy on the construction of N-doped carbon-supported non-noble catalyst,which might open a new avenue for developing highly efficient catalyst for FDMC production.

Catalyst design strategy toward the efficient heterogeneously-catalyzed selective oxidation of 5-hydroxymethylfurfural

The selective oxidation of 5-hydroxymethylfurfural(HMF),a versatile bio-based platform molecule,leads to the formation of several intriguing and useful downstream chemicals,such as 2,5-diformylfuran(DFF),5-hydroxymethyl-2-furancarboxylic acid(HMFCA),formyl 2-furancarboxylic acid(FFCA),2,5-furandicarboxylic acid(FDCA) and furan-2,5-dimethylcarboxylate(FDMC).These products have been extensively employed to fabricate novel polymers,pharmaceuticals,sustainable dyes and many other value-added fine chemicals.The heart of the developed HMF oxidation processes is always the catalyst.In this regard,this review comprehensively summarized the established heterogeneous catalyst design strategy for the selective oxidation of HMF via thermo-catalysis.Particular attention has been focused on the reaction mechanism of HMF oxidation over different catalysts as well as enhancing the catalytic performance of the catalyst through manipulating the properties of the support and fabricating of multi-component metal nano-particles and oxides.The current challenges and possible research directions for the catalytic oxidation of HMF in the future are also discussed.

One-pot tandem conversion of fructose into biofuel components with in-situ generated catalyst system

In this contribution, one-pot tandem conversion of fructose into biofuel components, including 5-ethoxymethylfurfural（EMF）, 2,5-（bis（ethoxymethyl）furan（BEMF） and ethyl levulinate（EL）, was performed in an in-situ generated catalyst system through consecutive dehydration, etherification, and transfer hydrogenation. Specifically, ZrOCl2·8H2O was in-situ decomposed into HCl and ZrO（OH）2 in ethanol, which effectively catalyzed the dehydration/etherification of fructose to 5-ethoxymethylfurfural（EMF） and subsequent reductive etherification of EMF using ethanol as H-donor, respectively. EMF, BEMF and EL were detected as the main products, and total yield of detectable products of up to 65.4% was obtained at 200 ℃ in only 2 h.

Expression and functional characterization of odorant-binding protein 2 in the predatory mite Neoseiulus barkeri

Olfaction plays a crucial role for arthropods in foraging,mating,and oviposition.The odorant-binding protein(OBP)gene is considered one of the most important olfactory genes.However,little is known about its functions in predatory mites.Here,we used Neoseiulus barkeri,an important commercialized natural pest control,to explore the chemosensory characteristics of OBP.In this study,N.barkeri was attracted by methyl salicylate(MeSA)and showed higher crawling speeds under MeSA treatment.Then,we identified and cloned an OBP gene named Nbarobp2 and analyzed its expression profiles in the predatory mite.Nbarobp2 was 663 bp,was highly expressed in larval and nymphal stages,and was significantly upregulated in N.barkeri under MeSA treatment.Nbarobp2 encoded 202 amino acid residues with a molecular weight of 23 kDa(after removing the signal peptide).Sequence comparisons revealed that the OBPs in Arachnida shared 6 conserved cysteine sites,but were distinguishable from the OBPs of Insecta on the phylogenetic tree.RNA interference,Western blotting,and binding affinity assays further proved that Nbarobp2 was involved in volatile perception in predatory mites.This study shed light on the functional characteristics of OBPs in predatory mites,providing a new insight for better biological control.

User story clustering in agile development:a framework and an empirical study

Agile development aims at rapidly developing software while embracing the continuous evolution of user requirements along the whole development process.User stories are the primary means of requirements collection and elicitation in the agile development.A project can involve a large amount of user stories,which should be clustered into different groups based on their functionality’s similarity for systematic requirements analysis,effective mapping to developed features,and efficient maintenance.Nevertheless,the current user story clustering is mainly conducted in a manual manner,which is time-consuming and subjective to human bias.In this paper,we propose a novel approach for clustering the user stories automatically on the basis of natural language processing.Specifically,the sentence patterns of each component in a user story are first analysed and determined such that the critical structure in the representative tasks can be automatically extracted based on the user story meta-model.The similarity of user stories is calculated,which can be used to generate the connected graph as the basis of automatic user story clustering.We evaluate the approach based on thirteen datasets,compared against ten baseline techniques.Experimental results show that our clustering approach has higher accuracy,recall rate and F1-score than these baselines.It is demonstrated that the proposed approach can significantly improve the efficacy of user story clustering and thus enhance the overall performance of agile development.The study also highlights promising research directions for more accurate requirements elicitation.

Famitinib in combination with concurrent chemoradiotherapy in patients with locoregionally advanced nasopharyngeal carcinoma: a phase 1, open-label, dose-escalation Study

Background:Famitinib is a tyrosine kinase inhibitor against multiple targets,including vascular endothelial growth factor receptor 2/3,platelet-derived growth factor receptor,and stem cell factor receptor(c-kit).Previous studies have demonstrated anti-tumour activities of famitinib against a wide variety of advanced-stage solid cancers.We aimed to determine the safety and efficacy of famitinib with concurrent chemoradiotherapy(CCRT)in patients with locoregionally advanced nasopharyngeal carcinoma(NPC).We also evaluated the feasibility of contrast-enhanced ultrasound(D-CEUS)as a predictor of early tumour response to famitinib and to correlate functional parameters with clinical efficacy.Methods:The trial was conducted in subjects with stage III or IVa-b NPC using a 3+3 design of escalating fami-tinib doses.Briefly,subjects received 2 weeks of famitinib monotherapy followed by 7 weeks of famitinib plus CCRT.D-CEUS of the neck lymph nodes was performed at day 0,8 and 15 after famitinib was administered before starting concurrent chemoradiotherapy.End points included safety,tolerability and anti-tumour activity.Results:Twenty patients were enrolled(six each for 12.5,16.5 and 20 mg and two for 25 mg).Two patients in the 25 mg cohort developed dose-limiting toxicities,including grade 4 thrombocytopenia and grade 3 hypertension.The most common grade 3/4 adverse events were leukopenia,neutropenia and radiation mucositis.D-CEUS tests showed that more than 60%of patients achieved a perfusion parameter response after 2 weeks taking famitinib alone,and the parameter response was associated with disease improvement.In the famitinib monotherapy stage,three patients(15%)showed partial responses.The complete response rate was 65%at the completion of treatment and 95%3 months after the treatment ended.After a median follow-up of 44 months,the 3-year progression-free survival(PFS)and distant metastasis-free survival were 70%and 75%,respectively.Subjects with a decrease of perfusion parameter response,such as peak intensity decreased at least 30%after 1 week of famitinib treatment,had higher 3-year PFS(90.9%vs.44.4%,95%CI 73.7%-100%vs.11.9%-76.9%,P<0.001)than those with an increase or a reduction of less than 30%.Conclusions:The recommended famitinib dose for phase II trial is 20 mg with CCRT for patients with local advanced NPC.D-CEUS is a reliable and early measure of efficacy for famitinib therapies.Further investigation is required to confirm the effects of famitinib plus chemoradiotherapy.

Software debugging analysis based on developer behavior data

1 Introduction Software debugging is one of the most costly activities in sof-ware development process.It mainly consists of four core tasks,namely fault detection,fault localization,fault understanding and fault fixing.Among them,fault localization normally re-quires the longest time and the largest efforts[1].