Impact of liver metastasis on immunotherapy in gastric carcinoma

The editorial discusses the impact of liver metastasis on immunotherapy efficacy in gastric cancer(GC)patients.Liver metastasis can hinder the effectiveness of immunotherapy by altering the immune microenvironment,leading to systemic loss of T-cells and reduced treatment response.Studies suggest that liver meta-stases serve as a negative baseline factor for immunotherapy efficacy,resulting in poorer progression-free survival and objective response rates.Strategies such as liver-mediated radiotherapy may help improve treatment outcomes by reshaping the liver’s immune microenvironment and reducing T-cell depletion.Understand-ing the complex interplay between liver metastasis and immunotherapy response is crucial for optimising patient care in GC.

Identification of Prognosis-Related Genes and Key Target Genes for Pancreatic Cancer: A Bioinformatics Analysis

Objective: The mortality and morbidity rates associated with pancreatic cancer (PaCa) are extremely high. Various studies have demonstrated that pancreatic cancer will be the fourth cancer-related death by 2030, raising more concern for scholars to find effective methods to prevent and treat in order to improve the pancreatic cancer outcome. Using bioinformatic analysis, this study aims to pinpoint key genes that could impact PaCa patients’ prognosis and could be used as therapeutic targets. Methods: The TCGA and GEO datasets were integratively analyzed to identify prognosis-related differentially expressed genes. Next, the STRING database was used to develop PPI networks, and the MCODE and CytoNCA Cytoscape in Cytoscape were used to screen for critical genes. Through CytoNCA, three kinds of topology analysis were considered (degree, betweenness, and eigenvector). Essential genes were confirmed as potential target treatment through Go function and pathways enrichment analysis, a developed predictive risk model based on multivariate analysis, and the establishment of nomograms using the clinical information. Results: Overall, the GSE183795 and TCGA datasets associated 1311 and 2244 genes with pancreatic cancer prognosis, respectively. We identified 132 genes that were present in both datasets. The PPI network analysis using, the centrality analysis approach with the CytoNCA plug-in, showed that CDK2, PLK1, CCNB1, and TOP2A ranked in the top 5% across all three metrics. The independent analysis of a risk model revealed that the four key genes had a Hazard Ratio (HR) > 1. The monogram showed the predictive risk model and individual patient survival predictions were accurate. The results indicate that the effect of the selected vital genes was significant and that they could be used as biomarkers to predict a patient’s outcome and as possible target therapy in patients with pancreatic cancer. GO function and pathway analysis demonstrated that crucial genes might affect the P53 signaling pathway and FoxO signaling pathway, through which Meiotic nuclear division and cell cycle may have a significant function in essential genes affecting the outcome of patients who have pancreatic cancer. Conclusions: This study suggests that CDK2, CCNB1, PLK1 and TOP2A are four key genes that have a significant influence on PaCa migration and proliferation. CDK2, CCNB1, PLK1, and TOP2A can be used as potential PaCa prognostic biomarkers and therapeutic targets. However, experimental validation is necessary to confirm these predictions. Our study comes into contributions to the development of personalized target therapy for pancreatic cancer patients.

Relationship between self-directed learning readiness, learning attitude, and self-efficacy of nursing undergraduates

Objective: The purposes of this study were to analyze the influencing factors of self-directed learning readiness(SDLR) of nursing undergraduates and explore the impacts of learning attitude and self-efficacy on nursing undergraduates.Methods: A total of 500 nursing undergraduates were investigated in Tianjin, with the Chinese version of SDLR scale, learning attitude questionnaire of nursing college students, academic self-efficacy scale, and the general information questionnaire.Result: The score of SDLR was 149.99±15.73. Multiple stepwise regressions indicated that academic self-efficacy, learning attitude, attitudes to major of nursing, and level of learning difficulties were major influential factors and explained 48.1% of the variance in SDLR of nursing interns.Conclusions: The score of SDLR of nursing undergraduates is not promising. It is imperative to correct students' learning attitude, improve self-efficacy, and adopt appropriate teaching model to improve SDLR.

Crystal plane induced in-situ electrochemical activation of manganese-based cathode enable long-term aqueous zinc-ion batteries

Rapid capacity decay and sluggish reaction kinetics are major barriers hindering the applications of manganese-based cathode materials for aqueous zinc-ion batteries.Herein,the effects of crystal plane on the in-situ transformation behavior and electrochemical performance of manganese-based cathode is discussed.A comprehensive discussion manifests that the exposed(100)crystal plane is beneficial to the phase transformation from tunnel-structured MnO_(2) to layer-structured ZnMn_(3)O_(7)·3H_(2)O,which plays a critical role for the high reactivity,high capacity,fast diffusion kinetics and long cycling stability.Additionally,a two-stage zinc storage mechanism can be demonstrated,involving continuous activation reaction and phase transition reaction.As expected,it exhibits a high capacity of 275 mAh g^(-1)at 100 mA g^(-1),a superior durability over 1000 cycles and good rate capability.This study may open new windows toward developing advanced cathodes for ZIBs,and facilitate the applications of ZIBs in large-scale energy storage system.

Application of Deep Learning to Production Forecasting in Intelligent Agricultural Product Supply Chain

Production prediction is an important factor influencing the realization of an intelligent agricultural supply chain.In an Internet of Things(IoT)environment,accurate yield prediction is one of the prerequisites for achieving an efficient response in an intelligent agricultural supply chain.As an example,this study applied a conventional prediction method and deep learning prediction model to predict the yield of a characteristic regional fruit(the Shatian pomelo)in a comparative study.The root means square error(RMSE)values of regression analysis,exponential smoothing,grey prediction,grey neural network,support vector regression(SVR),and long short-term memory(LSTM)neural network methods were 53.715,6.707,18.440,1.580,and 1.436,respectively.Among these,the mean square error(MSE)values of the grey neural network,SVR,and LSTM neural network methods were 2.4979,31.652,and 2.0618,respectively;and theirRvalues were 0.99905,0.94,and 0.94501,respectively.The results demonstrated that the RMSE of the deep learning model is generally lower than that of a traditional prediction model,and the prediction results are more accurate.The prediction performance of the grey neural network was shown to be superior to that of SVR,and LSTM neural network,based on the comparison of parameters.

Use of Component Integration Services in Multidatabase Systems: A Feasible Solution for Integrating Academic Institutions or Commercial Industries

The book chapter is an extended version of the research paper entitled “Use of Component Integration Services in Multidatabase Systems”, which is presented and published by the 13th ISITA, the National Conference of Recent Trends in Mathematical and Computer Sciences, T.M.B. University, Bhagalpur, India, January 3-4, 2015. Information is widely distributed across many remote, distributed, and autonomous databases (local component databases) in heterogeneous formats. The integration of heterogeneous remote databases is a difficult task, and it has already been addressed by several projects to certain extents. In this chapter, we have discussed how to integrate heterogeneous distributed local relational databases because of their simplicity, excellent security, performance, power, flexibility, data independence, support for new hardware technologies, and spread across the globe. We have also discussed how to constitute a global conceptual schema in the multidatabase system using Sybase Adaptive Server Enterprise’s Component Integration Services (CIS) and OmniConnect. This is feasible for higher education institutions and commercial industries as well. Considering the higher educational institutions, the CIS will improve IT integration for educational institutions with their subsidiaries or with other institutions within the country and abroad in terms of educational management, teaching, learning, and research, including promoting international students’ academic integration, collaboration, and governance. This will prove an innovative strategy to support the modernization and large expansion of academic institutions. This will be considered IT-institutional alignment within a higher education context. This will also support achieving one of the sustainable development goals set by the United Nations: “Goal 4: ensure inclusive and quality education for all and promote lifelong learning”. However, the process of IT integration into higher educational institutions must be thoroughly evaluated, identifying the vital data access points. In this chapter, Section 1 provides an introduction, including the evolution of various database systems, data models, and the emergence of multidatabase systems and their importance. Section 2 discusses component integration services (CIS), OmniConnect and considering heterogeneous relational distributed local databases from the perspective of academics, Section 3 discusses the Sybase Adaptive Server Enterprise (ASE), Section 4 discusses the role of component integration services and OmniConnect of Sybase ASE under the Multidatabase System, Section 5 shows the database architectural framework, Section 6 provides an implementation overview of the global conceptual schema in the multidatabase system, Section 7 discusses query processing in the CIS, and finally, Section 8 concludes the chapter. The chapter will help our students a lot, as we have discussed well the evolution of databases and data models and the emergence of multidatabases. Since some additional useful information is cited, the source of information for each citation is properly mentioned in the references column.

Sustainability Evaluation of Mangrove Forest Management System of Tagbanua Tribe in Bgy. Manalo, Puerto Princesa City, Palawan, Philippines

Community-based forest management agreement in the country is a needed instrument in attaining sustainability of mangrove management.Sadly,there is no assurance that the system implemented in the mangrove forest management is sustainable.So,evaluating the mangrove management sustainability of the local tribe is a viable avenue for the appropriate management.In this study,the sustainability of the mangrove management system of the Tagbanua tribe in Bgy.Manalo,Puerto Princesa City,Palawan was evaluated.The study utilized various criteria with relevant indicators of sustainable mangrove forest management in assessing the mangrove forest management system.Focused group discussions were conducted to identify the relevant sustainable mangrove forest management C&I and verifiers.Each indicator was rated using the formulated verifiers in the form of the rating scale.Through household interviews,FGD,KII,mangrove assessment,and secondary data analysis,this study also used a mathematical model on the Sustainability Index for Individual Criteria(SIIC)to evaluate the scores for individual criteria and the Overall Sustainability Index(OSI)of the community.As a result,there are a total of seven relevant criteria,and 35 relevant indicators for Mangrove Management in Barangay Manalo.Based on the individual rating of seven criteria,the overall rating of the sustainable mangrove management system is 1.80,which implies a fairly sustainable mangrove management system.Also,the computed overall sustainability index is 0.26,which is fairly or moderately sustainable.Each criterion has strengths and weaknesses and needs to be improved to have a highly sustainable mangrove management system.

Contrasting REE Signatures on Manganese Ores of Iron Ore Group in North Orissa, India

The distribution pattern of Rare Earth Elements （REE） in three categories of manganese ores viz. stratiform, stratabound-replacement, and detrital of Precambrian Iron Ore Group from north Orissa, India was reported. These categories of Mn-ore differed in their major and trace chemistry and exhibited contrasting REE signature. The stratiform ores were relatively enriched in ∑REE content （697 μg·g^-1） and their normalized pattern showed both positive Ce and Eu anomalies, whereas the stratabound-replacement types were comparatively depleted in ∑REE content （211 μg·g^-1） and showed negative Ce and flat Eu signatures. The detrital categories showed mixed REE pattern. The data plotted in different discrimination diagrams revealed a mixed volcaniclastic and chemogenic source of material for stratiform categories, and LREE （Light Rare Earth Elements） and HREE （Heavy Rare Earth Elements） are contributed by such sources, respectively. In contrast, the stratabound ore bodies were developed during the remobilization of stratiform ores, and associated Mncontaining rocks under supergene condition followed by the redeposition of circulating mineralized colloidal solutions in structurally favorable zones. During this process, some of the constituents were found only in very low concentration within stratabound ores, and this is attributed to their poor leachability/mobility. The detrital ores did not exhibit any significant characteristic in respect of REE as their development was via a complex combination of processes involving weathering, fragmentation, recementation, and burial under soil cover.

Molt and reproduction enhancement together with hemolymph ecdysteroid elevation under eyestalk ablation in the female fiddler crab,Uca triangularis(Brachyura:Decapoda)

We present the results of eyestalk extirpation experiments performed on the fiddler crab, Uca triangularis at seasons of molting and reproduction, with a view to have a better understanding of the regulatory mechanisms of these two highly energy-demanding processes. Bilateral eyestalk ablation resulted in precocious acceleration of both molting and reproduction, irrespective of the season at which each experiment was conducted. The rate of accelerated ovarian growth, however, was maximum if the eyestalk ablation was conducted during August-January, the breeding season in the wild, or in February- May （molting-reproductive season）, wherein a section of the wild population would be engaged in molting and another section in breeding. The highest degree of precocious molt acceleration, on the other hand, was obtained during June-July when the population was primarily engaged in molting, but with no reproductive activity. The precocious oocyte maturation （due to de-eyestalking） was minimal in June--July. Significantly, the eyestalk ablation also resulted in a dramatic increase in the hemolymph ecdysteroid titer, revealing that a high ecdysteroid titer would have no restraining influence on vitellogenesis. No spawning was, however, observed among de-eyestalked females, even though their final oocyte size surpassed the size of the normal mature oocytes, implying that spawning is not exclusively under the control of eyestalk hormones. A comparative study performed on the viteUine components of the experimentals and the controls revealed that the precociously incorporated yolk under eyestalk ablation was biochemically impoverished. These results indicate that throughout the annual cycle, both the somatic and the reproductive growth of U. triangularis are under the influence of inhibitory principles from the eyestalks. It is also revealing that mere deprival of the inhibitory principles does not culminate into successful vitellogenesis. Arguably, the inhibitory influence from the eyestalks could be a prerequisite for normal healthy maturation of the oocytes and spawning.

Mechanisms of hepatocellular carcinoma progression

Hepatocellular carcinoma(HCC) is the most common primary malignancy of the liver. It is the second leading cause of cancer-related deaths worldwide, with a very poor prognosis. In the United States, there has been only minimal improvement in the prognosis for HCC patients over the past 15 years. Details of the molecular mechanisms and other mechanisms of HCC progression remain unclear. Consequently, there is an urgent need for better understanding of these mechanisms. HCC is often diagnosed at advanced stages, and most patients will therefore need systemic therapy, with sorafenib being the most common at the present time. However, sorafenib therapy only minimally enhances patient survival. This review provides a summary of some of the known mechanisms that either cause HCC or contribute to its progression. Included in this review are the roles of viral hepatitis, non-viral hepatitis, chronic alcohol intake, genetic predisposition and congenital abnormalities, toxic exposures, and autoimmune diseases of the liver. Well-established molecular mechanisms of HCC progression such as epithelial-mesenchymal transition, tumor-stromal interactions and the tumor microenvironment, cancer stem cells, and senescence bypass are also discussed. Additionally, we discuss the roles of circulating tumor cells,immunomodulation, and neural regulation as potential new mechanisms of HCC progression. A better understanding of these mechanisms could have implications for the development of novel and more effective therapeutic and prognostic strategies, which are critically needed.

Influence of dexamethasone on mesenteric lymph node of rats with severe acute pancreatitis

AIM: To study the influence and mechanisms of dexamethasone on mesenteric lymph node of rats with severe acute pancreatitis (SAP). METHODS: The SAP rats were assigned to model, treated or sham-operated groups. The mortality, pathological changes of mesenteric lymph nodes, expression levels of NF-kB, P-selectin, Bax, Bcl-2 and caspase-3 protein and changes in apoptotic indexes in lymph nodes were observed at 3, 6 and 12 h after operation. The blood levels of endotoxin, superoxide dismutase (SOD), malondialdehyde (MDA), and endothelin-1 (ET-1) in blood were determined. RESULTS: SOD content, expression of Bax protein and apoptotic index were significantly higher in the treated group than in the model group at different time points (P < 0.05 or P < 0.01). Other blood-detecting indexes and histopathological scores of mesenteric lymphnodes were lower in the treated than in the model group (P < 0.05, P < 0.01 or P < 0.01). NF-kB protein expression was negative in all groups. Comparing P-selectin and caspase-3 expression levels among all three groups, there was no marked difference between the model and treated group. CONCLUSION: Dexamethasone can protect mesen-teric lymph nodes. The mechanism may be by reducing the content of inflammatory mediators in the blood and inducing lymphocyte apoptosis.

Systems of Agriculture Farming in the Uttranchal Himalaya, India

Agricultural practices are the main stay of the people of Uttranchal. Out of the total population, more than 75% people are engaged either with the main occupation of agriculture or its allied practices, dominated by traditional subsistence cereal farming. Among them, the main crops are rice, wheat, millet, barley, all types of pulses, all types of oilseeds and almost all types of fruits. The crops, vegetables and fruits of all varieties are grown in the different climatic zones such as tropical, temperate, and cold because, the region is characterized by the different altitudinal zones elevated from 200 m to more than 8000m. As a result, different climates are found from hot tropical to sub temperate and chilly cold. Pulses varieties are grown extensively. Among vegetables, potato, onion, carrot, all types of green leaf vegetables, brinzal, pumpkin, ladyfinger, pea, gram, radish, ginger, garlic, etc, are grown widely. All fruit varieties are grown in the different altitudinal zones. The main fruits are orange, malta (a big size of orange), elephant citrus, lemon and all other types of citrus, apple, stone fruits including peach and pears, many kinds of nuts, and the fruits which are grown in the low lying areas. In spite of feasible climatic conditions, agricultural dominant society, and availability of all types of crops, the production and productivity of these crops are very low, even they are unable to meet the grain-need of the people in Uttaranchal. Agricultural crops are grown almost in all the altitudinal zones — from the low-lying areas, which are called ‘Gangarh’, to the highly elevated region, where the legendary term is given as ‘Danda’. The growing seasons vary according to the heights. The present paper aims to discuss the agricultural practices including cropping season, cropping pattern, land use, production of crops and ecological aspect of agricultural system in this Himalayan state and suggest some measures for developing farming system, which could lead the sustainability, in terms of meeting the food grain needs of the people on the one hand and restoring the ecological balance on the other.

Effect of calcium citrate on bone integration in a rabbit femur defect model

Objective:To explore effect of calcium citrate on bone integration in a rabbit femur defect model, and to compare the bone formation with different sizes by radiological and histological study. Methods:Twenty-four male Japanese white rabbits were randomly divided into three groups (Group A.B.C)in this study.Under anesthesia,defects of four sizes(1.2,1.5,2.0 and 2.5 mm) were created in each of the rabbits.Commercially pure calcium citrate powder was placed inside the medullary compartment of the femur(Experimental),while in the contralateral femur(Control) nothing was implanted.The defects were analyzed using radiography and histological analysis by using Imagepro-Plus 6.0 software after animal was sacrificed at 4th(Group A),6th(Group B) and 8th(Group C) weeks postoperatively.Four samples were analyzed for each size of defect and each healing period.Results:The histological and the radiologic evaluation were performed after sacrification of all rabbits on postoperative 4th and 6th weeks,It showed significant difference between the experimental group and the control group when these defects were less than or equal to 2.0 mm.No statistical difference was observed when these defects were larger than 2.0 mm at all healing periods except at the 4th week.Conclusions:Calcium citrate affects the early periods of hone defects healing mechanism in Japanese white rabbits positively,especially when the defect is not too large,We suggest further studies on calcium citrate to determine the effects of various dosages,administration ways and the experimental time on the bone defects.

Synthetic Seed Preparation, Germination and Plantlet Regeneration of Litchi (Litchi chinensis Sonn.)

Litchi chinensis sonn.) ranks second after mango amongst the most important fruit crops cultivated worldwide. Litchi is a very valuable crop throughout the world because it is a table fruit and wines are also produced from it. The existing cultivars are highly polyploidy and heterozygous in nature. It is propagated through air layering and marcottage methods and storability is very low. Synthetic seeds can be stored for a long time and its genetic constitution could remain the same. For germplasm maintenance and clonal propagation, synthetic seeds can be used. Somatic embryogenesis has been reported from anther or embryogenic suspension culture in various species of litchi. Regeneration via organogenesis and somatic embryogenesis from zygotic embryos has also been reported in certain species. Developing a methodology for getting somatic embryogenesis with a high frequency from zygotic embryos which is available once in a year, would be particularly useful for genetic improvement of litchi. Cotyledonary stage somatic embryos developed from zygotic embryos were encapsulated in 2% alginate gel. The encapsulated somatic embryos (ESEs) germinated successfully on 0.7% agar medium containing 3% sucrose concentration in NN basal medium (half strength of major and minor salts) with 1 mg·l-1 of gibbrellic acid. Percentage germination and plantlet development for ESEs was higher than that of non encapsulated embryos (NSEs). In comparison to different hormones, gibberellic acid has a significant influence on the germination rate of ESEs after one week of dehydration was seen maximum at 9% sucrose and abscisic acid (1 mg·l-1) in half strength of major and minor salts in Nitsch and Nitsch medium resulting in extended storage up to 90 days without loss in germination potential and capability to regenerate into plantlets. Normally developed plantlets regenerated from ESEs were successfully adapted to soil to obtain a full grown plant.

Coalition of DNA polymorphisms of ApoB and ApoAI genes is related with coronary artery disease in Kazaks

Objective To explore the relationship between polymorphisms of XbaI and MspI loci of apolipoprotein B （ApoB） gene and -75 bp,＋83 bp loci of apolipoprotein AI （ApoAI） gene and coronary heart disease （CHD） in Kazaks of Xinjiang Uyghur Autonomous Region,China.Methods These loci were analyzed by PCR-restriction fragment length polymorphism （PCR-PFLP）.Two hundred and five patients with CHD and two hundred and thirty six controls were involved.Results There were significant distinctions among low-density lipoprotein cholesterol （LDL-C）,triglyceride （TG） and the ApoAI/ApoB ratio between the two groups,but no significant distinction among the polymorphism frequencies of the four sites between the two groups.The polymorphism coalition frequency of X-/Ms＋＋/M1＋-/M2＋＋ （named Coalition 11） was significantly higher in CHD compared to the control group （14.6％ vs.7.2％,P ＜ 0.05）.The level of total cholesterol （TC） in Coalition 1 1 was significantly higher and the level of the ApoAI/ApoB ratio in Coalition 11 was significantly lower than Coalition 1～10 in CHD patients.The level of the ApoAI/ApoB ratio of Coalition 11 was significantly lower than the Coalition 1～10 in control group.The levels of ApoAI/ApoB ratio of Coalition 3 were significantly higher compared to Coalition 11 in the two groups,respectively.The level of LDL-C of Coalition 3 was significantly lower than in the Coalition 11 in control group.The level of TC of Coalition 5 was significantly higher than Coalition 3 in the CHD group.The level of the ApoAI/ApoB ratio of Coalition 5 was significantly lower than in Coalition 3 or Coalition 1～10 of the two groups,respectively.The level of LDL-C of Coalition 5 was significantly higher than in Coalition 3 in control group.The ratio of ApoAI/ApoB was negatively related to TC,LDL-C and was positively related to HDL-C,both in CHD and control groups.Conclusion Coalition 11 of the 4 loci polymorphisms of the ApoB and ApoAI genes was correlated with CHD in Kazaks,and perhaps the ratio of ApoAI/ApoB was the most diagnostic parameter related with CHD among all lipid parameters.CHD may also be associated with Coalition 5,and,perhaps,Coalition 3 may have been confirmed as a protection factor against CHD,if more samples were enrolled.

Pathological Voice Classification Based on Features Dimension Opti mization

The classification of pathological voice from healthy voice was studied based upon 27 acoustic features derived from a single sound signal of vowel /a:/. First, the feature space was transferred to reduce the data dimension by principle component analysis (PCA). Then the voice samples were classified according to the reduced PCA parameters by support vector machine (SVM) using radial basis function (RBF) as a kernel function. Meanwhile, by changing the ratio of opposite class samples, the accuracy under different features combinations was tested. Experimental data were provided by the voice database of Massachusetts Eye and Ear Infirmary (MEEI) in which 216 vowel /a:/ samples were collected from subjects of healthy and pathological cases, and tested with 5 fold cross-validation method. The result shows the positive rate of pathological voices was improved from 92% to 98% through the PCA method. STD, Fatr, Tasm, NHR, SEG, and PER are pathology sensitive features in illness detection. Using these sensitive features the accuracy of detection of pathological voice from healthy voice can reach 97%.

Targeting Glycinebetaine for Abiotic Stress Tolerance in Crop Plants:Physiological Mechanism,Molecular Interaction and Signaling

In the era of climate change,abiotic stresses(e.g.,salinity,drought,extreme temperature,flooding,metal/metalloid(s),UV radiation,ozone,etc.)are considered as one of the most complex environmental constraints that restricts crop production worldwide.Introduction of stress-tolerant crop cultivars is the most auspicious way of surviving this constraint,and to produce these types of tolerant crops.Several bioengineering mechanisms involved in stress signaling are being adopted in this regard.One example of this kind of manipulation is the osmotic adjustment.The quarternary ammonium compound glycinebetaine(GB),also originally referred to as betaine is a methylated glycine derivative.Among the betaines,GB is the most abundant one in plants,which is mostly produced in response to dehydration caused by different abiotic stresses like drought,salinity,and extreme temperature.Glycinebetaine helps in decreased accumulation and detoxification of ROS,thereby restoring photosynthesis and reducing oxidative stress.It takes part in stabilizing membranes and macromolecules.It is also involved in the stabilization and protection of photosynthetic components,such as ribulose-1,5-bisphosphate carboxylase/oxygenase,photosystem II and quarternary enzyme and protein complex structures under environmental stresses.Glycinebetaine was found to perform in chaperone-induced protein disaggregation.In addition,GB can confer stress tolerance in very low concentrations,and it acts in activating defense responsive genes with stress protection.Recently,field application of GB has also shown protective effects against environmental adversities increasing crop yield and quality.In this review,we will focus on the role of GB in conferring abiotic stress tolerance and the possible ways to engineer GB biosynthesis in plants.

Strong Law of Large Numbers under an Upper Probability

Strong law of large numbers is a fundamental theory in probability and statistics. When the measure tool is nonadditive, this law is very different from additive case. In 2010 Chen investigated the strong law of large numbers under upper probabilityVby assumingVis continuous. This assumption is very strong. Upper probabilities may not be continuous. In this paper we prove the strong law of large numbers for an upper probability without the continuity assumption whereby random variables are quasi-continuous and the upper probability is generated by a weakly compact family of probabilities on a complete and separable metric sample space.

Oxytocin and cancer: An emerging link

The neuropeptide hormone oxytocin, which is released from the posterior pituitary gland, is involved in a number of physiological processes. Understanding of its effects is gradually increasing due to new research in this area. While mostly recognized as a reproductive system hormone, oxytocin also regulates other organ systems such as the brain and cardiovascular system. Recently, research has focused on unraveling its involvement in cancer, and emerging evidence suggests a potential role for oxytocin as a cancer biomarker. This review summarizes observations linking oxytocin and cancer, with a special emphasis on prostate cancer, where it may promote cell proliferation. Research suggests that oxytocin effects may depend on cell type, concentration of the hormone, its interactions with other hormones in the microenvironment, and the precise localization of its receptor on the cell membrane. Future research is needed to further elucidate the involvement of oxytocin in cancer, and whether it could be a clinical cancer biomarker or therapeutic target.

Influence of TiO_2 on the electrochemical performance of pasted typeβ-nickel hydroxide electrode in alkaline electrolyte

Nickel hydroxide was used as the positive electrode material in rechargeable alkaline batteries, which plays a significant role in the field of electric energy storage devices. β-nickel hydroxide（β-Ni（OH）2 ） was prepared from nickel sulphate solution using potassium hydroxide as a precipitating agent. Pure β-phase of nickel hydroxide was confirmed from XRD and FT-IR studies. The effects of TiO2 additive on the β-Ni（OH）2 electrode performance are examined. The structure and property of the TiO2 added β-Ni（OH）2 were characterized by XRD, TG-DTA and SEM analysis. A pasted–type electrode is prepared using nickel hydroxide powder as the main active material on a nickel sheet as a current collector. Cyclic voltammetry and electrochemical impedance spectroscopy studies were performed to evaluate the electrochemical performance of the β-Ni（OH）2 and TiO2 added β-Ni（OH）2 electrodes in 6 M KOH electrolyte. Anodic（Epa） and cathodic（Epc）peak potentials are found to decrease after the addition of TiO 2 into β-Ni（OH）2 electrode material. Further,addition of TiO2 is found to enhance the reversibility of the electrode reaction and also increase the separation of the oxidation current peak of the active material from the oxygen evolution current. Compared with pure β-Ni（OH）2 lectrode,TiO2 added β-Ni（OH）2 electrode is found to exhibit higher proton diffusion coefficient（D） and lower charge transfer resistance. These findings suggest that the TiO2 added β-Ni（OH）2 electrode possess improved electrochemical properties and thus can be recognized as a promising candidate for the battery electrode applications.