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Inhibitor tolerance and bioethanol fermentability of levoglucosan-utilizing Escherichia coli were enhanced by overexpression of stress-responsive gene ycfR:The proteomics-guided metabolic engineering

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Synthetic and Systems Biotechnology 2021年第4期6卷 384-395页

作者： Dongdong Chang zia Ul Islam Junfang Zheng Jie Zhao Xiaoyong Cui Zhisheng Yu College of Resources and Environment University of Chinese Academy of SciencesBeijing100049PR China Department of Chemistry Mississippi State UniversityMississippi StateMS 39762USA Department of Biochemistry and Molecular Biology School of Basic Medical SciencesCapital Medical UniversityBeijing100069PR China Yanshan Earth Critical Zone and Surface Fluxes Research Station Chinese Academy of SciencesNo.380 Huaibei TownHuairou DistrictBeijing101408PR China RCEES-IMCAS-UCAS Joint-Lab of Microbial Technology for Environmental Science Beijing100085PR China

Pretreatment of lignocellulosic biomass is crucial for the release of biofermentable sugars for biofuels production,which could greatly alleviate the burgeoning environment and energy crisis caused by the massive usage of traditional fossil *** is a cost-saving pretreatment process that can readily decompose biomass into levoglucosan,a promising anhydrosugar;however,many undesired toxic compounds inhibitory to downstream microbial fermentation are also generated during the pyrolysis,immensely impeding the bioconversion of levoglucosan-containing ***,we took the first insight into the proteomic responses of a levoglucosan-utilizing and ethanol-producing Escherichia coli to three representative biomass-derived inhibitors,identifying large amounts of differentially expressed proteins(DEPs)that could guide the downstream metabolic engineering for the development of inhibitor-resistant *** up-and eight down-regulated DEPs were further identified as the biomarker stress-responsive proteins candidate for cellular tolerance to multiple *** these biomarker proteins,YcfR exhibiting the highest expression fold-change level was chosen as the target of overexpression to validate proteomics results and develop robust strains with enhanced inhibitor tolerance and fermentation ***,based on four plasmid-borne genes encoding the levoglucosan kinase,pyruvate decarboxylase,alcohol dehydrogenase,and protein YcfR,a new recombinant strain *** LGE-ycfR was successfully created,showing much higher acetic acid-,furfural-,and phenol-tolerance levels compared to the control without overexpression of *** specific growth rate,final cell density,ethanol concentration,ethanol productivity,and levoglucosan consumption rate of the recombinant were also remarkably *** the proteomics-guided metabolic engineering and phenotypic observations,we for the first time corroborated that YcfR is a stress-induced protein responsi

关键词： Lignocellulosic biomass Levoglucosan Inhibitor Proteomics Gene overexpression Bioethanol

Decomposing the drivers of residential space cooling energy consumption in EU-28 countries using a panel data approach

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能源与人工环境(英文) 2020年第4期1卷 432-442页

作者： Andreas Andreou John Barrett Peter G.Taylor Paul E.Brockway zia Wadud Sustainability Research Institute School of Earth and EnvironmentUniversity of LeedsLeedsLS29JTUK Low Carbon Energy Research Group School of Chemical and Process EngineeringUniversity of LeedsLeedsLS29JTUK Spatial Modelling and Dynamics Research Group Institute for Transport StudiesUniversity of LeedsLeedsLS29JTUK

While space cooling currently represents less than 1%of final energy use in the residential sector of the Euro-pean Union(EU-28),it was the fastest growing end-use during the 2000-15 period with a mean annual growth rate of 6%per ***,little is known about factors which have driven regional air-conditioning(AC)energy consumption over time,since the literature is limited to cross-sectional studies that lack differentiation between climatic and non-climatic *** projections for the EU’s electricity sector may therefore neglect the potential implications of rapidly growing AC *** develop a novel decomposition framework,which breaks down residential space cooling energy consumption in EU-28 countries into the effect of different components from 2000 to *** is extended to panel data models identifying specific drivers of space cooling’s climate-sensitive ***,we explore scenarios of residential AC energy consumption up to 2050 and evaluate their impact on summer time peak *** diffusion was found to be the key driver of space cooling energy consumption,but this effect was partly counterbalanced by efficiency *** weather influences AC equipment ownership rate in EU-28 households,personal income has a larger marginal *** baseline scenarios,AC diffusion saturates by 2050,while modestly increasing sectoral final energy ***,our range of scenario values for space cooling energy consumption in 2050 exceed the majority of those originat-ing from recently published *** a future renewables-driven electricity system,energy security risks may emerge from a scenario of fast AC up-take in new and renovated buildings,especially for colder European countries where modelled peak cooling electricity demand is shown to outgrow the projected expansion of solar *** findings have important implications for the EU’s strategy to decarbonise energy supply.

关键词： Space cooling AC diffusion Decomposition analysis Panel data model Peak demand

Weed growth, herbicide efficacy, and rice productivity in dry seeded paddy field under different wheat stubble management methods

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Journal of Integrative Agriculture 2019年第4期18卷 907-926页

作者： Muhammad zia-Ul-Haq Abdul Khaliq Qiang Sheng Amar Matloob Saddam Hussain Saba Fatima Zeshan Aslam Department of Agronomy University of AgricultureFaisalabad Weed Research Laboratory College of Life Sciences Nanjing Agricultural University Department of Agronomy Muhammad Nawaz Shareef University of Agriculture Department of Economics National College of Business Administration and Economics Pesticide Residue Laboratory Kala Shah Kaku Institute of Soil Chemistry and Environmental Sciences Government of Punjab

To ascertain the influence of wheat stubble management options and chemical weed control methods on weed growth and productivity of dry direct-seeded fine rice, a two years' field study was undertaken at the Agronomic Research Farm, University of Agriculture, Faisalabad, Pakistan in 2013 and 2014. Different wheat stubble management methods, viz., incorporation, burning and retention were executed during seed-bed preparation. While, herbicide treatments comprised of a weed check, weed free, pendimethalin followed by tank mixture of fenoxaprop p-ethyl+ethoxysulfuron ethyl, and bispyribac sodium followed by tank mixture of fenoxaprop p-ethyl+ethoxysulfuron ethyl. Results revealed that weed control efficacy of both herbicide treatments ranged from 84 to 94%. Herbicide treatments significantly reduced weed density(88–90%) and dry weight(86–88%), while improved the rice growth attributes compared with weed check. Application of bispyribac sodium followed by tank mixture of fenoxaprop p-ethyl+ethoxysulfuron ethyl in stubble retention recorded 226 and 273% increase in kernel yield over weedy check in 2013 and 2014, respectively. In stubble incorporation, pendimethalin followed by tank mixture of fenoxaprop p-ethyl+ethoxysulfuron ethyl was more effective in increasing(256–293%) rice yields over weedy check. Among different treatment combinations, the maximum net benefits(1 397.49^(–1) 472.22 USD ha^(–1)), net returns(636–700 USD ha^(–1)), benefit cost ratio(1.77^(–1).83) and marginal rate of return(2 187–2 330%) were recorded with the application of bispyribac sodium followed by fenoxaprop p-ethyl+ethoxysulfuron ethyl in stubble retention. In crux, application of bispyribac sodium followed by tank mixture of fenoxaprop p-ethyl+ethoxysulfuron ethyl in stubble retention is efficient approach to control weeds, and get maximum rice productivity and net economic returns under dry seeded system.

关键词： herbicide mixture weedy check stubble management weeds density and dry weight DSR

Design of Low Power Transmission Gate Based 9T SRAM Cell

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Computers, Materials & Continua 2022年第7期72卷 1309-1321页

作者： S.Rooban Moru Leela Md.zia Ur Rahman N.Subbulakshmi R.Manimegalai Department of Electronics and Communication Engineering Koneru Lakshmaiah Education FoundationVaddeswaramGunturAndhra Pradesh522502India Department of Electronics and Communication Engineering Francis Xavier Engineering CollegeTirunelveliTamil Nadu627003India Department of Computer Science and Engineering PSG Institute of Technology and Applied ResearchCoimbatoreTamil Nadu641062India

Considerable research has considered the design of low-power and high-speed *** integrated circuits with low-power consumption is an important issue due to the rapid growth of high-speed *** static random-access memory(SRAM)units are necessary components in fast mobile *** SRAM cells are more energyconsuming and with lower *** major constraints in SRAM cells are their reliability and low *** objectives of the proposed method are to provide a high read stability,low energy consumption,and better writing abilities.A transmission gate-based multi-threshold single-ended Schmitt trigger(ST)9T SRAM cell in a bit-interleaving structure without a write-back scheme is ***,an ST inverter with a single bit-line design is used to attain the high read stability.A negative assist technique is applied to alter the trip voltage of the single-ended ST *** multithreshold complementary metal oxide semiconductor(MTCMOS)technique is adopted to reduce the leakage power in the proposed single-ended TGST 9T SRAM *** proposed system uses a combination of standard and ST inverters,which results in a large read *** with the previous ST 9T,ST 11T,11T,10T,and 7T SRAM cells,the proposed cell is implemented in Cadence Virtuoso ADE with 45-nm CMOS technology and consumes 35.80%,42.09%,31.60%,12.54%,and 31.60%less energy for read operations and 73.59%,93.95%,92.76%,89.23%,and 85.78%less energy for write operations,respectively.

关键词： Bit-interleaving low power SRAM cell schmitt trigger transmission gate

Cancer models in preclinical research:A chronicle review of advancement in effective cancer research

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Animal Models and Experimental Medicine 2021年第2期4卷 87-103页

作者： Humna Sajjad Saiqa Imtiaz Tayyaba Noor Yusra Hasan Siddiqui Anila Sajjad Muhammad zia Department of Biotechnology Quaid-i-Azam UniversityIslamabadPakistan

Cancer is a major stress for public well-being and is the most dreadful *** models used in the discovery of cancer treatment are continuously changing and extending toward advanced preclinical *** models are either naturally existing or artificially prepared experimental systems that show similar features with human tumors though the heterogeneous nature of the tumor is very *** choice of the most fitting model to best reflect the given tumor system is one of the real difficulties for cancer ***,vast studies have been conducted on the cancer models for developing a better understanding of cancer invasion,progression,and early *** models give an insight into cancer etiology,molecular basis,host tumor interaction,the role of microenvironment,and tumor heterogeneity in tumor *** models are also used to predict novel can-cer markers,targeted therapies,and are extremely helpful in drug *** this review,the potential of cancer models to be used as a platform for drug screening and therapeutic discoveries are *** none of the cancer models is regarded as ideal because each is associated with essential caveats that restraint its application yet by bridging the gap between preliminary cancer research and transla-tional ***,they promise a brighter future for cancer treatment.

关键词： cancer cell lines computational cancer models genetically engineered mouse models organoids patient-derived xenografts personalized medicine

Impact of risk management strategies on the credit risk faced by commercial banks of Balochistan

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Financial Innovation 2019年第1期5卷 761-773页

作者： zia Ur Rehman Noor Muhammad Bilal Sarwar Muhammad Asif Raz Balochistan University of Information Technology Engineering&Management Sciences QuettaPakistan

This study aims to identify risk management strategies undertaken by the commercial banks of Balochistan,Pakistan,to mitigate or eliminate credit *** findings of the study are significant as commercial banks will understand the effectiveness of various risk management strategies and may apply them for minimizing credit *** explanatory study analyses the opinions of the employees of selected commercial banks about which strategies are useful for mitigating credit *** data was collected from 250 employees of commercial banks to perform multiple regression analyses,which were used for the *** results identified four areas of impact on credit risk management(CRM):corporate governance exerts the greatest impact,followed by diversification,which plays a significant role,hedging and,finally,the bank’s Capital Adequacy *** study highlights these four risk management strategies,which are critical for commercial banks to resolve their credit risk.

关键词： Credit risk Risk management strategies Financial risk Capital adequacy ratio Hedging Corporate governance Diversification

Understanding the Language of ISIS:An Empirical Approach to Detect Radical Content on Twitter Using Machine Learning

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Computers, Materials & Continua 2021年第2期66卷 1075-1090页

作者： zia Ul Rehman Sagheer Abbas Muhammad Adnan Khan Ghulam Mustafa Hira Fayyaz Muhammad Hanif Muhammad Anwar Saeed School of Computer Science National College of Business Administration&EconomicsLahore54000Pakistan Department of Computer Sciences Bahria UniversityLahore54000Pakistan Department of Computer Science Lahore Garrison UniversityLahore54000Pakistan School of Systems and Technology University of Management and TechnologyLahore54000Pakistan Department of CS&IT Virtual University of PakistanLahore54000Pakistan

The internet,particularly online social networking platforms have revolutionized the way extremist groups are influencing and radicalizing *** research reveals that the process initiates by exposing vast audiences to extremist content and then migrating potential victims to confined platforms for intensive ***,social networks have evolved as a persuasive tool for extremism aiding as recruitment platform and psychological ***,recognizing potential radical text or material is vital to restrict the circulation of the extremist *** aim of this research work is to identify radical text in social *** contributions are as follows:(i)A new dataset to be employed in radicalization detection;(ii)In depth analysis of new and previous datasets so that the variation in extremist group narrative could be identified;(iii)An approach to train classifier employing religious features along with radical features to detect radicalization;(iv)Observing the use of violent and bad words in radical,neutral and random groups by employing violent,terrorism and bad words *** research results clearly indicate that incorporating religious text in model training improves the accuracy,precision,recall,and F1-score of the *** a variation in extremist narrative has been observed implying that usage of new dataset can have substantial effect on classifier *** addition to this,violence and bad words are creating a differentiating factor between radical and random users but for neutral(anti-ISIS)group it needs further investigation.

关键词： Radicalization extremism machine learning natural language processing twitter text mining

Electron doping induced semiconductor to metal transitions in ZrSe2 layers via copper atomic intercalation

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Nano Research 2018年第9期11卷 4914-4922页

作者： Zahir Muhammad Kejun Mu Haifeng Lv Chuanqiang Wu zia ur Rehman Muhammad Habib Zhe Sun Xiaojun Wu Li Song National Synchrotron Radiation Laboratory CAS Center for Excellence in Nanoscience CAS Key Laboratory of Strongly-coupled Quantum Matter Physics University of Science and Technology of China Hefei 230029 China CAS Key Laboratory of Materials for Energy Conservation Synergetic Innovation Centre of Quantum Information & Quantum Physics CAS Center for Excellence in Nanoscience and Department of Material Science and Engineering University of Science and Technology of China Hefei 230026 China

Atomic intercalation in two-dimensional （2D） layered materials can be used to engineer the electronic structure at the atomic scale and generate tuneable physical and chemical properties which are quite distinct in comparison with the pristine material. Among them, electron-doped engineering induced by intercalation is an efficient route to modulate electronic states in 2D layers. Herein, we demonstrate a semiconducting to metallic phase transition in zirconium diselenide （ZrSe2） single crystals via controllable incorporation of copper （Cu） atoms. Our angle resolved photoemission spectroscopy （ARPES） measurements and first-principles density functional theory （DFT） calculations dearly revealed the emergence of conduction band dispersion at the M/L point of the Brillouin zone due to Cu-induced electron doping in ZrSe2 interlayers. Moreover, electrical measurements in ZrSe2 revealed semiconducting behavior, while the Cu-intercalated ZrSe2 exhibited a linear current-voltage curve with metallic character. The atomic intercalation approach may have high potential for realizing transparent electron-doping systems for many specific 2D-based nanoelectronic applications.

关键词： layered materials phase transition angle resolved photoemission spectroscopy electron doping

Flame Atomic Absorption Spectrometric Determination of Trace Amounts of Zinc and Thallium in Different Matrixes after Solid Phase Extraction on Modified Multiwalled Carbon Nanotubes

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American Journal of Analytical Chemistry 2012年第5期3卷 371-377页

作者： Sayed zia Mohammadi Department of Chemistry Payame Noor University Tehran Iran

The potential of modified multiwallcd carbon nanotubes, as a solid-phase extraction sorbent for the simultaneous separation and preconcentration of zinc and thallium has been investigated. Zinc and thallium were adsorbed quantitatively onto modified multiwalled carbon nanotubes in the pH range of 3 - 6.5. Parameters influencing the simultaneous preconcentration of Zn(II) and Tl(I) ions such as pH of the sample, sample and eluent flow rate, type and volume of elution solution and interfering ions, have been examined and optimized. Linearity was maintained between 0.1 to 20.0 μg?mL–1 for thallium and 20.0 ng?mL–1 to 5.0 μg?mL–1 for zinc in the final solution. The defection limits based on three times the standard deviation of the blank signal (n = 8) for thallium and zinc were 5.1 and 1.4 ng?mL–1, respectively. Seven replicate determination of a mixture of 5.0 and 0.2 μg?mL–1 of thallium and zinc in the final solution gave a mean absorbance of 0.085 and 0.074 with relative standard deviation 1.5% and 1.7%, respectively. The method has been applied for the determination of trace amounts of zinc and thallium in biological and water sample with satisfactory results.

关键词： Carbon Nanotubes Zinc Determination Thallium Determination Preconcentration