Laboratory and field experiment were conducted at MustansiryahUniversity in 2010 to investigate the possible allelopathic potential ofDigitariasanguinalis (L.) Large crabgrass andClerodenduminerme on the seed germination and seedling growth of bladygrass (Imperata cylindrica), the results showed areduce of 44%and 43% in seed germinationby leaves extracts ofClerodenduminermeandDigitariasanguinalisrespectively in 50% concentration and  61% and  62% in 100% concentration. Root and shoot length of blady grass seedlings growth were reduced by an average of 75-70%.  Field experiments indicated thatcrude material of Clerodenduminerme and Digitariasanguinalisin50 gm/ m2 gave the highest control on blady grass than the

Solid waste generation and composition in Baghdad is typically affected by population growth, urbanization, improved economic conditions, changes in lifestyles and social and cultural habits.

A burning chamber was installed to burn cellulosic waste only. It was found that combustion reduced the original volume and weight of cellulosic waste by 97.4% and 85% respectively.

A batch composting study was performed to evaluate the feasibility of co-composting organic food waste with the cellulosic bottom ash in three different weight ratios (w/w) [95/5, 75/25, 50/50].

The composters were kept in controlled aerobic conditions for 7 days. Temperature, moisture, and pH were measured hourly as process succe

The aim of this study is to know the capability of the Iraqi system law, to organize contracts of supplying software especially the contract of designing or developing software, according to the requirements of somebody. The  specific software features than typical software, where the later imported as a goods, while the incoming contract to designing or developing specific software represents employment contract, in this case leads to a complicated problems of the type of contract, the later contract may interact with sale contract and lease contract. Hire contract applies to the contract of this study, where supplier to these software is contractor and the person who designed the required software, as a result this study can be di

In this paper, the concept of fully stable Banach Algebra modules relative to an ideal has been introduced. Let A be an algebra, X is called fully stable Banach A-module relative to ideal K of A, if for every submodule Y of X and for each multiplier ?:Y?X such that ?(Y)?Y+KX. Their properties and other characterizations for this concept have been studied.

As harmony with modernized environmental developments which were appeared within economical , banking areas with what accompanied of chances or challenges , the matter is required to face those modernizations , adaptation with them , as considering them strength points not weak points , and these developments banking marketing as it should be on the Iraqi public banks and private and hybrid to take advantage of this process to increase excellence and the expansion of the banking business opportunities, , enlarge in the banking businesses especially the banking transaction are distinguished by serious competition & strong between banks , and the final result is to serve Iraqi banking system & customers that the national economy ta

Water scarcity is one of the most important problems facing humanity in various fields such as economics, industry, agriculture, and tourism. This may push people to use low-quality water like industrial-wastewater. The application of some chemical compounds to get rid of heavy metals such as cadmium is an environmentally harmful approach. It is well-known that heavy metals as cadmium may induce harmful problems when present in water and invade to soil, plants and food chain of a human being. In this case, man will be forced to use the low quality water in irrigation. Application of natural materials instead of chemicals to remove cadmium from polluted water is an environmental friendly approach. Attention was drawn in this research wor

This study is attempts to build a phylogenetic between nine Iraqi barley
genotypes based on ISSR-PCR analysis by determine the level of genetic similarity
among them. Nine issr primers used in this study produced 41 bands across nine
studied varieties. Of these bands, 28 bands were polymorphic and the remaining
monomorphic bands were 13. The average polymorphic rate was 70.5% ranged
between 25%-100% , and average of polymorphic bands /primer was 4.5.The size
of the amplified bands ranged 140-1600 bp. It was generated a 5 unique bands in
this study, these bands can be used as a DNA profiling of all studied genotypes. The
results were showed Genetic distances ranged between (0.0854-0.9897) among
barley varieties.

Artificial intelligence (AI) is entering many fields of life nowadays. One of these fields is biometric authentication. Palm print recognition is considered a fundamental aspect of biometric identification systems due to the inherent stability, reliability, and uniqueness of palm print features, coupled with their non-invasive nature. In this paper, we develop an approach to identify individuals from palm print image recognition using Orange software in which a hybrid of AI methods: Deep Learning (DL) and traditional Machine Learning (ML) methods are used to enhance the overall performance metrics. The system comprises of three stages: pre-processing, feature extraction, and feature classification or matching. The SqueezeNet deep le

Artificial intelligence (AI) is entering many fields of life nowadays. One of these fields is biometric authentication. Palm print recognition is considered a fundamental aspect of biometric identification systems due to the inherent stability, reliability, and uniqueness of palm print features, coupled with their non-invasive nature. In this paper, we develop an approach to identify individuals from palm print image recognition using Orange software in which a hybrid of AI methods: Deep Learning (DL) and traditional Machine Learning (ML) methods are used to enhance the overall performance metrics. The system comprises of three stages: pre-processing, feature extraction, and feature classification or matching. The SqueezeNet deep le