Development of Two-Factor Authentication to Mitigate Phishing Attack

The two-factor authentication mechanism is gaining popularity as more people are becoming aware of the need to secure their identities. In the current form, existing 2FA systems are defenseless against phishing attacks. They do not provide any visual indicator to the user to check the website’s validity before logging in during phishing attacks. This exposes the user’s password during the phishing attack. Two-factor authentication needs to be enhanced to provide a mechanism to detect phishing attacks without adding a significant burden on the user. This research paper will propose a novel 2-FA TOTP mechanism to provide a subconscious indicator during a phishing attack. In comparison, the new proposed novel approach provides better security against phishing attack. Lastly, the mathematical analysis is performed to understand the TOTP variance and validate the security considerations against the existing 2FA systems with respect to adversary attack.

An Empirical Study on the Job Satisfaction of Guangxi Private Universities Based on Two-Factor Theory

The purpose of this study was to empirically examine the job satisfaction of Guangxi private universities based on two-factor theory.With the rapid development of private colleges and universities,there are also many problems restricting the development of private colleges and universities.Therefore,this study is specially helpful for the private colleges and universities in Guangxi.In order to carry out this study,the population was taken to be those teachers of the private colleges and universities in Guangxi.A sample(N=384)of teachers was taken using simple random sampling from the private colleges and universities in Guangxi.It was hypothesized that work achievement,work itself,work development,duty,compensation and benefit,salary,work environment,organization system,interpersonal relationship,and leadership management had positive influence on customer decision-making.The results were analyzed with the help of SPSS software.Descriptive statistical analysis,Pearson correlation test,and regression analysis were used to test hypothesis.The results showed the overall job satisfaction of teachers in private universities in Guangxi is unsatisfactory;only working environment and interpersonal relationship in five dimensions are satisfactory,while other dimensions are unsatisfactory.It is understood that the existing health care factors in private colleges and universities in Guangxi cannot eliminate the dissatisfaction state of teachers’work,and the incentive factors cannot effectively stimulate the enthusiasm of teachers.

ON WEAK MINIMUM ABERRATION AND NUMBER OF CLEAR TWO-FACTOR INTERACTION COMPONENTS IN s_Ⅳ～(m-p) DESIGNS

This article obtains some theoretical results on the number of clear two-factor interaction components and weak minimum aberration in an sm-pIVdesign, by considering the number of not clear two-factor interaction components of the design.

Carbon Nanotubes Dispersion in Polymers by Two-Factor Mechanical Method

The article reports the results on the development of highly optimized two-factor mechanical method of dispersion of multiwalled carbon nanotubes (MWCNTs) in polymer matrixes with the aim of preparing of nanocomposites. The investigation of the MWCNTs and nanocomposites was carried out by using scanning electron microscopy, X-ray diffraction and Raman spectroscopy. The effectiveness of the developed method is demonstrated by comparing the electrical conductivity of MWCNT/polymer nanocomposites prepared on the basis of polydimethylsiloxane (PDMS) and the epoxy resin, using two methods-the known chemical and the proposed one-two-factor mechanical.

A NOTE ON 2_(IV)^(m-p) DESIGNS WITH THE MAXIMUM NUMBER OF CLEAR TWO-FACTOR INTERACTIONS

In this article, the authors obtain some theoretical results for 2_(IV)^(m-p) designs to have the maximum number of clear two-factor interactions by considering the number of two-factor interactions that are not clear. Several 2_(IV)^(m-p) designs with the maximum number of clear two-factor interactions, judged using these results, are provided for illustration.

非货币激励因素对中小学教师工作满意度的影响——基于云贵川渝的调查

教师工作满意度是影响教师工作效能、促进教师可持续发展的重要因素。研究采用TALIS 2018教师问卷对云贵川渝4个省份的中小学教师展开抽样调查。数据分析显示,该地区教师工作满意度处于较高水平,但内部群体间存在显著性差异。回归分析发现,云贵川渝4省份中小学教师工作满意度受工资薪酬以及其他非货币因素的影响。比较分析发现,云贵川渝初中教师对工资薪酬的接受度高于上海同行,但对社会认可、媒体关注等非货币激励因素的认可程度却低于上海教师,从而使其工作满意度整体水平低于上海。研究认为,坚持教育家精神铸魂强师的同时提升教师工作满意度,需要在巩固提高工资薪酬水平的基础上,进一步从优化教师工作体验、提高教师学历、打通职业晋升渠道、营造尊师重教良好氛围等非货币因素着手,在满足教师内在需求的同时,为加快教育现代化、建设教育强国、办好人民满意的教育提供有力支撑。

Some results on 4~m2~n designs with clear two-factor interaction components

Clear effects criterion is one of the important rules for selecting optimal fractional factorial designs,and it has become an active research issue in recent years.Tang et al.derived upper and lower bounds on the maximum number of clear two-factor interactions(2fi's) in 2n-(n-k) fractional factorial designs of resolutions III and IV by constructing a 2n-(n-k) design for given k,which are only restricted for the symmetrical case.This paper proposes and studies the clear effects problem for the asymmetrical case.It improves the construction method of Tang et al.for 2n-(n-k) designs with resolution III and derives the upper and lower bounds on the maximum number of clear two-factor interaction components(2fic's) in 4m2n designs with resolutions III and IV.The lower bounds are achieved by constructing specific designs.Comparisons show that the number of clear 2fic's in the resulting design attains its maximum number in many cases,which reveals that the construction methods are satisfactory when they are used to construct 4m2n designs under the clear effects criterion.

Construction of 2_Ⅲ^(m-(m-k)) Designs with the Maximum Number of Clear Two-factor Interactions

It is useful to know the maximum number of clear two-factor interactions in a 2Ⅲ^[m-（m-k）] design. This paper provides a method to construct a 2Ⅲ^[m-（m-k）] design with the maximum number of clear two-factor interactions. And it is proved that the resulting designs have more dear two-factor interactions than those constructed by Tang et al. Moreover, the designs constructed are shown to have concise grid representations.

Delusional Beliefs, Two-Factor Theories, and Bizarreness

In order to explain delusional beliefs, one must first consider what factors should be included in a theory of delusion. Unlike a one-factor theory, a two-factor theory of delusion argues that not only anomalous experience （the first factor） but also an impairment of the belief-evaluation system （the second factor） is required. Recently, two-factor theorists have adopted various Bayesian approaches in order to give a more accurate description of delusion formation. By reviewing the progression from a one-factor theory to a two-factor theory, I argue that in light of the second factor＇s requirements, different proposed impairments can be unified within a consistent belief-evaluation system. Under this interpretation of the second factor, I further argue that the role of a mechanism responsible for detecting bizarreness is wrongly neglected. I conclude that the second factor is a compound system which consists of differing functional parts, one of which functions to detect bizarreness in different stages of delusion; moreover, I hold that the impairment can be one or several of these functional parts.

Two-Factor Fuzzy Time Series for Equipment Data Prediction

The data forecasting of plant equipment plays an important role in assurance of the safe and reliable operation of the plant equipment. Thus, it is necessary to improve the accuracy of data forecasting of the equipment. A new two-factor fuzzy time series algorithm is proposed to forecast the data of the plant equipment.This method not only overcomes the limitations of one factor fuzzy time series algorithm, but also overcomes the drawbacks of traditional two-factor fuzzy time series algorithm. The collected data is used in the power plant to conduct experiments, where the metrics is Mean Absolute Percentage Error(MAPE). The results show that this method is superior to the existing two-factor fuzzy time series algorithms, and yields good results in the equipment prediction.

Optimization of two-factor(pH and ion concentration)simultaneous selection in HPLC using a statistical method

A computer-assisted method is presented for simultaneous optimization of pH and ion con- centration selection for the optimal separation in reversed-phase HPLC.The method is based on a polynomial estimation from nine preliminary experiments according to two-factor rectangular design. This is followed by a two-dimension computer scanning technique.Resolution is used as the selection criterion.Good agreement was obtained between predicted data and experimental results.

双向FDI协同发展对绿色全要素生产率的影响——基于空间杜宾模型的实证检验

本文分析了双向FDI协同发展机理,并从能源投入与污染产出角度解释了双向FDI协同发展对绿色全要素生产率的促进作用;基于2003~2020年中国省级面板数据,借助空间杜宾模型实证检验了双向FDI协同发展对绿色全要素生产率的空间影响。研究发现:双向FDI协同发展对本地和邻地绿色全要素生产率均具有正向促进作用。异质性分析进一步发现:中部地区双向FDI协同发展对绿色全要素生产率的促进作用最显著,东部地区次之,西部地区主要表现为抑制作用;此外,资源丰裕程度会削弱双向FDI协同发展对绿色全要素生产率的正向影响。因此,应当推动双向FDI协同发展,且注重调整外资流向及外资流入和流出类型,使双向FDI协同发展更好地服务于中国可持续发展目标。

国际法强制性规范的识别问题研究

1969年《维也纳条约法公约》的“姐妹条款”宣告了国际法中存在强制性规范,但此种规范的识别仍是一个未解难题。就国际法强制性规范的识别理论而言,主要存在着法律理想主义和法律实证主义的分歧,这可能导致识别结果的不可预期性和投机性。国际法强制性规范不仅是学术研究的兴趣点,也逐渐成为司法裁决的依据。在此背景下,国际法委员会将国际法强制性规范的编纂列入工作议程,并在其二读通过的结论草案中,最终为国际法强制性规范的识别确立了“累加双要素”标准。这种以“累加双要素”为基础的识别标准同样存在不足,特别是具有方法论缺陷、识别机构不明确等缺点,同时也体现了国际法的危机模式,需要予以重视。

需求层次与双因素理论视角下的医院人力资源管理革新路径研究

本文从需求层次与双因素理论视角,探讨了医院人力资源管理的革新路径。通过概述两种理论的核心观点,分析了当前医院人力资源管理的现状与挑战,并提出了针对性的革新策略,包括满足员工基本需求、激发内在动力及构建科学的绩效考核体系等。文章还强调了实施方案与保障机制的重要性,以确保革新措施的有效执行和持续改进。展望未来,医院需不断优化人力资源管理,以适应医疗行业的快速变革。

大豆GmNF-YA13互作蛋白的筛选及鉴定

大豆GmNF-YA13蛋白是一个核转录因子Y(NF-Y),在干旱和高盐响应过程中均发挥重要作用。为研究其抗旱和耐盐的作用机理,寻找GmNF-YA13的互作蛋白,构建pGBKT7-GmNF-YA13诱饵载体,采用酵母双杂交筛选大豆酵母文库,并进行X-α-gal染色验证。结果显示:酵母双杂交获得85个阳性克隆,测序分析后得到36个候选的互作蛋白。功能预测显示互作蛋白主要参与生长发育、胁迫响应、能量代谢、转录调控和信号转导等生物过程。选择GmUVR8、GmCML41、GmFbox13和GmFBA与诱饵pGBKT7-GmNF-YA13进行一对一验证,只有GmFBA能与GmNF-YA13发生相互作用,预示GmNF-YA13功能的发挥需要GmFBA的参与。该结果可为NF-YA抗逆分子网络的研究提供基础。

党组织“双向进入”对企业全要素生产率的影响研究

提高企业的全要素生产率是促进我国经济高质量发展的动力源泉,而党组织参与治理是中国式现代化建设的独有策略。本文以2012—2023年我国非金融A股上市公司为样本,探讨党组织“双向进入”对我国企业全要素生产率的影响。研究发现,党组织“双向进入”能够显著提升企业全要素生产率水平;其机理是能促进资产利用效率、提升员工劳动生产效率以及缓解融资约束。深入研究“双向进入”的路径可发现:在国有企业和非国有企业中,党组织参与董事会、监事会和管理层均能促进企业全要素生产率的提升,但其在国有企业中发挥的作用更大。而党中央的政策引导显著促进了企业党组织“双向进入”制度的有效性。本研究为党的“双向进入”政策实施效果提供了大样本经验证据,为促进企业高质量发展、建立中国自主的公司治理理论提供了研究启示。

地理标志对国内葡萄酒消费动机的唤醒与激励机制的研究

研究和把握消费者消费动机,是从根源上解决当前国内葡萄酒产品消费动力不足问题的关键方法。该研究利用动机唤醒理论与双因素理论,搭建地理标志与葡萄酒消费动机之间的桥梁,研究地理标志对葡萄酒消费者消费动机的唤醒与激励机制。结果表明,地理标志从自然因素与人文因素两个维度的差异影响葡萄酒消费;地理标志通过影响葡萄酒的“有效刺激物”,从视觉、嗅觉、味觉、精神等方面刺激消费者的唤醒状态,引导消费者产生消费动机;在双因素理论视角下,地理标志通过影响葡萄酒的保健因素与激励因素,减小制约消费者的约束力或增大消费者的内在驱动力来激励消费者的可持续消费行为。基于研究结论,提出了促进国内葡萄酒消费发展的建议。

基于双因素理论的基层医疗岗位满意度及影响因素研究

目的了解基层医疗岗位满意度及影响因素,并制订改善措施。方法2021年7月至8月,对南京某区所有基层医疗机构的人口学特征情况、岗位满意度开展线上调查。结果本研究发放问卷866份,有效问卷862份,有效回收率为99.5%。满意度得分为(3.55±0.77)分。在保健因素方面,不同性别、岗位、用工形式人群满意比例比较,差异有统计学意义(P<0.05);在激励因素方面,不同性别、年龄、学历、职称、岗位、工作年限、用工形式比较,差异无统计学意义(P>0.05)。不同性别人群进修培训、政治保障、职称提升、福利水平、薪酬水平、职务提升满意度比较,差异有统计学意义(P<0.05);不同岗位任务充实、进修培训、工作稳定、职务提升满意度比较,差异有统计学意义(P<0.05);不同用工形式人群工作稳定、福利水平、薪酬公平满意度比较,差异有统计学意义(P<0.05)。多因素logistic回归分析显示,任务充实(OR=1.779,95%CI:1.110~2.851)、福利水平(OR=1.977,95%CI:1.200~3.257)、薪酬水平(OR=1.752,95%CI:1.024~2.998)和薪酬公平(OR=1.957,95%CI:1.207~3.172)是岗位满意度的影响因素(P<0.05)。结论建议重点保障保健因素,辅以激励因素,可从优化人才结构、建设信息一体化、扩大财政补助,健全绩效考核制度等多方面入手。

玉米大斑病菌cDNA文库的构建及转录因子StMR1互作蛋白的筛选

【目的】筛选玉米大斑病菌(Setosphaeria turcica)转录因子的互作蛋白,解析黑色素调控转录因子StMR1调控玉米大斑病菌致病性的分子机制。为解析玉米大斑病菌侵染过程中转录因子的调控网络,阐明病菌的致病机理提供参考。【方法】收集玉米大斑病菌菌丝和孢子不同萌发阶段作为试验材料,采用Gateway方法构建玉米大斑病菌cDNA文库,使用同源重组的方法构建转录因子StMR1的诱饵载体,采用酵母双杂交技术筛选其互作蛋白并进行一对一验证。【结果】构建的玉米大斑病菌文库插入的平均片段长度大于1000 bp,初级文库及次级文库的库容量为1.2×107和1.04×107CFU,重组率为100%,可以用于酵母双杂交筛选。成功构建可以用于筛库的诱饵载体pGBKT7-StMR1,经初筛与复筛得到3个互作蛋白,一对一验证短链脱氢酶、糖基转移酶、富含亮氨酸重复序列蛋白均与转录因子StMR1存在互作。【结论】成功构建了丰富度高且质量好的玉米大斑病菌cDNA文库并筛选到了与转录因子StMR1互作的蛋白。

组织TMEFF2基因甲基化状态与子宫内膜癌和子宫内膜增生的关系

目的分析含表皮样生长因子和卵泡抑素结构域的跨膜蛋白2(TMEFF2)基因甲基化状态与子宫内膜癌(EC)和子宫内膜增生的关系。方法选取2017年3月至2021年8月在该院妇产科住院的172例汉族女性为研究对象,包括91例EC患者(EC组)、36例子宫内膜增生患者(增生组)和45例子宫内膜正常女性(对照组)。采用实时定量焦磷酸测序检测TMEFF2基因3个CpG位点甲基化水平。根据甲基化指数(MI),将91例EC患者分为未甲基化组(MI<10%)、中低度甲基化组(MI为10%~30%)和高度甲基化组(MI>30%)。比较对照组、增生组、EC组临床资料,比较不同甲基化水平组各项临床和病理学特征。采用随机森林分类算法,根据变量在诊断中的重要性绘制出示意图,并对其进行排序,筛选鉴别诊断指标。采用受试者工作特征(ROC)曲线分析TMEFF2基因CpG1位点甲基化水平对EC、增生子宫内膜及正常子宫内膜的鉴别诊断价值。结果EC组、对照组、增生组TMEFF2基因MI分别为24.53(9.20,65.78)、4.58(0.49,15.76)、13.67(2.95,28.76),EC组MI明显高于对照组和增生组,且增生组MI明显高于对照组,差异均有统计学意义(P<0.05)。未甲基化组、中低度甲基化组、高甲基化组的EC肿瘤(pT)分期、淋巴结转移状态(pN)分期、年龄分布情况比较,差异均有统计学意义(P<0.05)。根据随机森林分类法,TMEFF2基因CpG1位点甲基化状态是仅次于体质量指数的重要诊断指标。ROC曲线分析结果显示,TMEFF2基因CpG1位点甲基化水平鉴别子宫内膜增生与正常子宫内膜、EC与子宫内膜增生的曲线下面积分别为0.700(95%CI:0.586~0.813,P<0.05)和0.933(95%CI:0.891~0.976,P<0.05)。结论TMEFF2基因CpG1位点甲基化异常与子宫内膜增生形成及增生组织进一步癌变密切相关,可作为潜在的预测因子。