Iraqi Journal of Science

A new attempt is made to determine diosmin (DIO) in its pure form and in dietary supplements by using spectrophotometric flow injection analysis (FIA) assay method conjugated with batch method. The analysis was achieved depending on the oxidative coupling reaction with N, N-dimethyl-p-phenylenediamine (DMPD) to form a green dye which is measured at wavelength of 677 nm. The tested methods were found to be economical, delicate, precise and sturdy. The validation variables of the batch and FIA methods gave linearity in the determination range of DIO (1-35) μg/mL and (5-120) μg/mL demonstrated calibration graphs with linearity coefficient values of r2 =0.9989 and r2 =0.9991, respectively. Limits of quantitation (LOQ) values were found to be (0.8463 and 1.022) μg/mL, while limits of detection (LOD) were (0.2539 and 0.3067) μg/mL for the two methods, respectively. The
precision for the developed methods denoted by relative standard deviation (RSD %), were 0.386 and 0.55 %, while the accuracy based on recovery values (Rec %) were 100.273 and 100.24, respectively. The relative error (RE %) was less than 1% for the batch method and (1.1%) for the FIA method. The values of these parameters were observed to fall within the specified accepted limits; therefore, the tested methods seem to be adequate for the analysis of DIO in pharmaceutical preparations.

Water is crucial for all known forms of life without providing any calories or organic nutrients, while many people, especially in developing countries, may not be able to access pure and safe drinking water. They could lose their lives or become sick because waterborne diseases could contaminate the water, and when the chemical and/or physical properties of the water are not within the national and international standards. Thus, the present study aimed to evaluate water quality of the Halabja drinking water and Sirwan river. Halabja city is located to north of Iraq, north-east of the capital Baghdad. Every week of the year 2019, apart from official holidays, water samples were collected from each of river and several areas (4-10 sections) in Halabja for the bacteriological analysis, while chemical and physical water quality was monthly checked. The results showed no detectable waterborne pathogens in all drinking water samples. Additionally, values of pH, turbidity, total dissolved substances, and electrical conductivity of the purified water samples had ranges of 7.97–8.5, 0.02-0.8 NTU, 246–362 mg/L, and 383–566 μS/cm, respectively. The treated drinking water was free of Free Residual Chlorine (FRC) and nitrite. The amounts of chloride, sulfate, and nitrate varied during the year 2019, with ranges of 48.2- 73.8, 36-141.5, and 1-5 mg/L, respectively. The values of water hardness and Ca+2 and Mg+2 concentrations ranged 132- 344, 48–89.5, and 2.2-29.2 mg/L, respectively. Based on the results, values of all the above parameters were within the Iraqi and the World Health Organization (WHO) drinking water standards, although the value of water hardness and the concentration of Ca+2 were near the upper limits of the standards, which might cause harm to the human body.

Demodex spp. mites are external obligate parasites; they are transmitted between hosts through direct contact, and may induce several dermatological symptoms when found in large numbers. However, these symptoms may be similar to other commonly known diseases; this often leads dermatologists to neglect the pathogenic role of these mites. Therefore, a better diagnosis is recommended in order to avoid mistreatment. The aim of this study was to investigate the correlation between Demodex mites and dermatological diseases. Infestation rates in patients suffering from acne, rosacea, folliculitis, and psoriasis were compared with asymptomatic patients, along with the mites’ relation to gender, age, personal hygiene, time of year, and residency. These mites were mainly found in patients with rosacea (66.67%) followed by acne (64.41%), while they were only observed in 48.15% of asymptomatic patients, 40.00% in folliculitis, and 0.00% in psoriasis. The statistical analysis showed a significant relationship between infestation and the previously mentioned dermatological diseases (P<0.01). The infestation rates increased significantly with age, reaching 83.33% in patients above 60 years old, and especially during cold months with higher humidity rates. These mites were also more predominantly found in urban areas (56.10%), followed by rural areas (48.45%). However, there was no significant relationship according to gender or personal hygiene.

The impact of exposure to different sizes of particulate matter (PM1, PM2.5, PM7, and PM10) was evaluated in Babylon concrete plant workers who had been exposed to concrete dust for at least 10 years. The effects of these particles on the hematological parameters, malondialdehyde (MDA) levels, and antioxidant enzymes (catalase and glutathione peroxidase ) were examined. The results exhibited that the levels of PM2.5 and PM10 were higher than the acceptable limits approved by the National Ambient Air Quality Standards (NAAQS). The blood parameters, namely white blood cells (WBC), red blood cell (RBC) and platelets counts, demonstrated non-significant differences between workers exposed to the PM as compared to the control group. However, differentiated white blood cells count revealed a significant increase of polymorphonuclear leukocytes (PMN) in exposed workers in comparison with the control group. However, both MDA and glutathione peroxidase showed a highly significant increase in the workers ass compared to the control group. Thus, we may conclude that the concrete plant workers are exposed to a higher risk of oxidative stress that could lead to alterations in hematological parameters, enzymatic activities, and MDA level.

The present study deals with some morphological and anatomical characteristics of the Nonea echioides(L.) Roem. & Sehult species belonging to Boraginaceae, which is recorded to have spread recently in Kurdistan region of Iraq.
This research focused on some of the important morphological characteristics of the stems, leaves, flowers, and fruits and comparing them with other studies of neighboring countries to Iraq. These morphological characteristics were found to be important in isolating the species of the filed. The anatomical features of the epidermis, stomata, and trichomes were also investigated. The study shows that Nonea echioides belongs to C3 plants based on the anatomical features of the leaf. In conclusion, the present study provided means for field identification and taxonomy of the plant.

Chlamydia pneumoniae is an intracellular gram-negative bacteria associated with lower and upper respiratory tract infections. Several studies, mostly achieved by serological assays, proposed a role for this bacteria in lung cancer risk. Therefore, this study aimed to evaluate the prevalence of Chlamydia pneuomoniae in fresh lung tissues of a sample of Iraqi patients with lung tumors, utilizing polymerase chain reaction (PCR) technique. . Chlamydia pneumoniae DNA was detected in 86.67% of samples. Besides, DNA sequencing of 16S rRNA gene revealed that our isolate is closely related to Chlamydia pneumoniae TW183 strain. It is concluded that Chlamydia pneumoniae is found in fresh lung tissues of patients, suggesting past infection, reinfection, or persistent form, which may play a role in the development or exacerbation of lung tumors. Our results confirm the high prevalence of this type of bacteria in Iraqi patients.

In this work, a (CdO)0.94:(In2O3)0.06 film was developed on a glass substrate using Q- switching pulse laser beam (Nd:YAG; wavelength 1064 nm). The quantitative elemental analysis of the (CdO)0.94:(In2O3)0.06 thin film was achieved using energy dispersive X- ray diffraction (EDX). The topological and morphological properties of the deposited thin film were investigated using atomic force microscope (AFM) and field emission scan electron microscopy (FESEM). The I-V characteristic and Hall effect of (CdO)0.94 :(In2O3)0.06 thin films were used to study the electrical properties. The gas sensor properties of the film prepared on n-Si were investigated for oxidization and reduction gases.

Background: Ischemic heart disease is a major cause of the diastolic heart failure. Risk of heart failures was increased with microvascular coronary disease, which is characterized by left ventricular stiffness with impaired relaxation and reduced compliance. Aim of this study is to estimate the effect of the severity of myocardium ischemia on the left ventricle ejection fraction and left ventricular volume using SPECT with 99mTc MIBI and to compare the results with the echocardiography. The study included 117 subjects with ischemic heart disease were examined using SPECT and echocardiography techniques. The following parameters were measured: left ventricular end systolic volume (LVESV) , left ventricular end diastolic volume (LVEDV) , and left ventricular ejection fraction (LVEF). Results show that the change difference in EDV between the two technique was (98.79%) with insignificant (p > 0.05). While the change in the LVEF% between both groups was (105.40%) with significant (p <0.05). On the other hand, the difference in ESV and EDV/ESV ratio for both groups were (95.52%), and (103.61%) respectively with insignificant (p >0.05). It was concluded that SPECT with 99mTc MIBI had a good relation with the echocardiography technique for evaluation of the left ventricular ejection fraction and the left ventricular volumes. The results showed that LVEF was decreased in patients with severe ischemic disease.

An idea of a colored glaze is presented in this study to hide and dispose all the obstacles of using solar systems as facades integrated with buildings. This aim is achieved by designing multilayer optical interference filters by using Mat lab program . Appropriate dielectric materials, namely NdF3 of high refractive index (nH =1.6) and ThF4 of low refractive index (nL =1.5143) were employed. Quarter wave thicknesses of high (H) and low (L) refractive index were deposited on a microscopic slide substrate with n=1.513 and 550 nm design wavelength (). Two optical models were designed, which are Air//HL//glass and Air//LH//glass, for even numbers of layers (2-32 layers). The challenge in this study is to find the most efficient design which has lower solar reflectance (Rsol.) and higher solar transmittance (Tsol.) to raise the efficiency of the solar systems and, in parallel, obtain the colored reflection to achieve the esthetic appearance of the buildings integrated with the solar system facades. The Tsol. value was high (94-95 %), whereas the Rsol. was very low (4-5 %). Hence, the efficiency of the solar system was increased. The two optical models exhibited green color reflectance in the visible region. The first design, i.e. Air/HL/glass, showed higher values of Rvis. and the merit factor (M) than the second model, resulting in a higher potential of coloration. The first design requires fewer materials and layers, thus, it is more cost-effective as compared to the second one.

Copper (1) oxide nanoparticles together with matrix polymers of polyvinyl alcohol (PVA) and polyaniline (PANI) composite films were synthesized, as these materials are of importance in optoelectronic applications. Nanoparticles of Cu2O were produced by chemical precipitation. Polymerization of aniline was carried out through polymerization in an acidic medium. Structural, thermal, and optical properties of PVA+PANI/Cu2O nanocomposite were inspected by x-ray diffraction (XRD), scanning electron microscopy (SEM), fourier-transform infrared (FTIR), differential scanning calorimeter (DSC) and ultraviolet-visible spectroscopy (UV-Vis spectroscopy). X-ray diffraction peaks at 29.53°, 36.34°, and 42.22° indicated the presence of cuprous oxide nanoparticles, having high dispersions and limited size distributions. The estimated average size of Cu2O nanoparticles was ~ 17.1525 nm. A characteristic peak at around 2θ = 18.5° was attributed to periodical parallel and perpendicular polymer chains, which denoted the formation of PANI. SEM results indicated the symmetrical dispersion of Cu2O nanoparticles inside the hybrid polymer of PVA and PANI matrix, being potentially useful for encapsulation and acting as a good capping agent. FTIR results established the formation of PANI and Cu2O with nanocrystalline nature. DSC results revealed the appearance of one single peak of Tg which decreased with Cu2O content of 4% wt, followed by an increase of that value by increasing Cu2O content up to 16%wt. Thermogram analysis of the PANI and PVA embedded with Cu2O form showed an exothermic peak at (240-292)℃ affiliated to the cross-linking reaction, while the Tm value of prepared nanocomposites is just about close to that of PVA polymer. The results indicated that there is an increase in thermal stability due to the presence of Cu2O NPS within the matrix of polymers. The distinguishing peaks at 330, 347, and 457 nm which refer to PANI are assigned to π−π* electron transitions among the benzenoid rings. The high absorption intensity of the peak at 470 nm for the blended PVA+PANI having 12% wt of Cu2O NPS is assigned due to the inter-band transitions for electrons of the core copper as well as copper oxide. This points out that the increasing quantity of Cu2O NPs leads to increases in the amounts of highly oxidized structures in PANI and decreases in the doping electrons and length of conjugation throughout the incorporation of Cu2O NPs into PANI matrix. Depending on the practical results, it can be said that these polymeric nanocomposites can be efficiently used in photovoltaic technology applications.

In this paper, ferric oxide nanoparticles )Fe2O3 NPs( were synthesized directly on a quartz substrate in vacuum by pulse laser deposition technique using Nd:YAG laser at different energies (171, 201,363 mJ/pulse). The slides were then heated to 700o C for 1 hour. The structural, optical, morphological, and electrical properties were studied. The optical properties indicated that the prepared thin films have an energy gap ranging from 2.28 to 2.04 eV. The XRD results showed no lattice impurities for other iron oxide phases, confirming that all particles were transformed into the α-Fe2O3 phase during the heating process. The AFM results indicated the dependence of nanoparticles size on the laser energy. As the laser energy increased, the average grain size increased from 72.6 nm to 79.02 nm. Hall effect measurement indicated that the film was an n-type semiconductor.

Fifteen sediment samples from different areas in the middle and south of Iraq were prepared and their structural characteristics were studied by powder X-ray diffraction analysis at ????=1.542Å. The present work considered the specific activities of naturally occurring radioactive materials in salt samples, which were measured and analyzed using high resolution HPGe system. Also, the radiological parameters were considered in this work. The average specific concentration of radionuclides (in Bq.kg-1) in the salt samples was found to be 16.86 4.92 for 226Ra, 5.97 2.05 for 232Th, and 9.85 2.8 for 40K, which are below the UNSCEAR globally permitted levels of 40, 30, and 400Bq.kg-1, respectively. Similarly, the absorption dose rates were in the range of 3.71 to 12.591 nGy.h-1. The measured radiation hazard indices showed that the concentrations of these radionuclides in all samples are within the allowable limits.

The study area is located in the eastern part of the Diyala Governorate close to the
Iraqi-Iranian border. This study was set to investigate the hydrogeological
calculations of northeast of Qazaniyah wells where the groundwater moves in
directions of from the northeastern parts towards the southwestern par, that is, the
same direction of the topography and the same direction of the tendency of the
layers t. The study„s region is characterized by visible geological layers or those that
can be penetrated to a reasonable depth by wells which are sedimentary rocks
deposited in continental or semi-continental conditions in the bays. From the study
of the hydraulic properties of the two hydrogeological and exemplary systems, the
values of transmissivity, permeability and storage coefficient are ranged between
1.94- 5.73 m2/day, 1.02- 3.92 m/day and1.40 x 10-5- 2.62 x 10-4, respectively. While
the estimated value of transmissivities, which are obtained from specific capacity,
ranged between 6.27- 8.62 m2/day. This variance in the values indicates the broad
differences in the values Lithology of aquifers, which seems to be influenced by the
strength and the number of fractures and joints.

The shale volume is one of the most important properties that can be computed depending on gamma ray log. The shale volume of Mishrif Formation (carbonate formation from middle Cenomanian- early Turonian) was studied for the regional area of the middle and southern parts of Iraq. The gamma ray log data from seventeen wells ( Kf-3,Kf-4, Ad-1,Ad -2,Dh-1, Bu-47, Ns-2, Ns-4, Am-1,Am-2,Hf-2,Hf-115,Mj-3,Mj-15, Su-7,Wq-15 and Lu-7) distributed in the study area were used to compute the shale volume of Mishrif Formation. From the available data of the considered wells, a regional isopach map of Mishrif Formation was obtained. The isopach map indicates that the maximum thickness of Mishrif Formation is located at the eastern part of the study area. The results of the CPI and the shale volume map, which were computed using the Techlog and surfer software, show that the maximum value of shale volume is located at the southern part of the study area (Su-7 well), while the minimum value is at the eastern part (Hf-2well). According to the classification of Kamel and Mabrouk (2003), Mishrif Formation seems to be a Shaly Formation in the study area, except Halfaya oil field at the eastern part of the study area, which seems as a Clear Formation. The top map of the shale marker bed, which appears in most studied wells, shows a regional trend of the formation toward the northeast. According to the variation of the thickness of the shale marker bed, the study area is divided into four zones.

The Amarah Oil field structure was studied and interpreted by using 2-D seismic data obtained from the Oil Exploration company. The study is concerned with Maysan Group Formation (Kirkuk Group) which is located in southeastern Iraq and belongs to the Tertiary Age. Two reflectors were detected based on synthetic seismograms and well logs (top and bottom Missan Group). Structural maps were derived from seismic reflection interpretations to obtain the location and direction of the sedimentary basin. Two-way time and depth maps were conducted depending on the structural interpretation of the picked reflectors to show several structural features. These included three types of closures, namely two anticlines extended in the directions of S-SW and NE, one nose structure (anticline) in the middle of the study area, and structural faults in the northeastern part of the area, which is consistent with the general fault pattern. The seismic interpretation showed the presence of some stratigraphic features. Stratigraphic trap at the eastern part of the field, along with other phenomena, such as flatspot (mound), lenses, onlap, and toplap, were detected as indications of potential hydrocarbon accumulation in the region.

An interpretive (structural and stratigraphic) study of the two,-dimensional seismic, data of East Nasiriya area (30 km to the south east of Nasiriya oil field within Thi-Qar province, southeastern Iraq) was carried out using Petrel 2017 program. The study area has an importance due to its location between many oil fields, but still without exploration of oil wells. Twenty five seismic lines were used, date back to different types of seismic surveys conducted in the region at different time periods. Also, the seismic velocity surveys of the nearest wells to oil fields, such as Nasiriya-1 and Subba-8, in addition to their sonic and density logs were used. A synthetic seismogram with a good matching with the seismic section was achieved to ensure the identification of the reflectors and reflectivity type (peak or trough) and follow up each one through the whole area of interest. Top Zubair reflector was picked using the composite line to link the seismic sections with each other after enhancing the ties between seismic lines. Time and depth maps were made using velocity maps created from the velocity model. The seismic, interpretation, in the area showed the existence of certain stratigraphic, features, in the ,studied reflector. Some distribution mounds and sand lenses were observed in the study area, which are continuous in more than two-dimensional seismic line in the area. These activity elements provide a reasonable explanation for the distribution of hydrocarbons in the area of study.

Seventeen samples of Hartha Formation in Balad (1) well, central Iraq, are studied on the basis of stratigraphic ranges of the recorded calcareous nannofossils for twenty species belonging to twelve genera. The studied section reveals three biozones arranged from oldest to youngest as follows; (1) Calculites ovalis Interval Biozone (CC19), (2) Ceratolithoides aculeus Interval Biozone (CC20), (3) Quadrum sissinghii Interval Biozone (CC21). These Biozones are correlated with other calcareous nannofossils biozones from both local and regional sections, leading to conclude the age of the Middle Campanian.
Rerecorded eighteen ostracode species that belong to eleven genera are identified, all of which were previously recorded from Iraq and adjacent regions. The occurrence of these species leads to conclude a continental shelf environment, while they are typical of inner shelf-outer shelf depth.

Soil resistivity depends on many overlapping factors, which influence it in various ways. The aim of this study was to determine the effects of some physical and chemical factors on soil apparent resistivity. The results of field, laboratory, and statistical studies revealed a complex relationship between water content, pH, and salinity with soil apparent resistivity. The results showed that water content had a clear effect on apparent resistivity, as it increased significantly when water content value decreased to less than about 5%. The results also showed that increasing the salinity ratio at the expense of water content led to an increase in the apparent resistivity values. The apparent resistivity values also increased significantly when pH values fell below about 7.7.
The increase in air temperature caused an increase in water evaporation from the soil, which led to increasing the apparent resistivity. The rise in air temperature also caused an increase in the concentration of salts at the expense of water content; since salts are considered to be insulators, unless they are dissolved in water, they cause an increase in the value of apparent resistivity.

The undertaken study includes investigating the performance and effluent characteristics of the treatment plant of Al-Doura refinery. Influent concentrations for some important contaminants, which are TDS, oil and grease, TSS, COD, BOD, and turbidity were 2595 mg/L, 13934 mg/L, 466.45 mg/L, 2538.9 mg/L, 1739.2 mg/L, and 89.18 NTU, respectively, while the effluent concentrations were 1337.8 mg/L, 0.53mg/L, 21.7mg/L, 25.45 mg/L, 17.81 mg/L, and 7.08 NTU, respectively, giving removal efficiencies of 44.47%, 99.99%, 94.4%, 98.96%, 98.96% and 92.05%, respectively. All these results indicate that Al-Doura wastewater treatment plant was efficient in removing contaminants according to Iraqi and EPA specifications. Hence, the second part of this study concentrated on finding a simple and efficient treatment method to treat the effluent so that it can be reused in the boiler system. A pilot plant was designed and dedicated for this purpose, including three units of granular activated carbon filter, ultra filtration filter, and reverse osmosis filter. Average removal efficiencies of oil and grease, turbidity, COD, and BOD were 85.25%, 100%, 34.92%, and 31.11%, respectively at the granular activated carbon filter, with very low efficiencies for the removal of TDs and conductivity. Ultra filtration showed average removal efficiencies for COD and BOD of 30.81% and 32.31%, respectively. While the average removal efficiencies for TDs and conductivity was very low. The reverse osmosis filter removed TDs and conductivity very efficiently, giving average removal efficiencies of 97.63% and 95.43%, respectively. In addition, it provided good removal percentages for COD and BOD, with values of 61.73% and 64.1%, respectively. A recycling procedure was created and the results were eventually comparable to those conferred by some of the traditional approaches.

This paper has the interest of finding the approximate solution (APPS) of a nonlinear variable coefficients hyperbolic boundary value problem (NOLVCHBVP). The given boundary value problem is written in its discrete weak form (WEFM) and proved have a unique solution, which is obtained via the mixed Galerkin finite element with implicit method that reduces the problem to solve the Galerkin nonlinear algebraic system (GNAS). In this part, the predictor and the corrector techniques (PT and CT, respectively) are proved at first convergence and then are used to transform the obtained GNAS to a linear GLAS . Then the GLAS is solved using the Cholesky method (ChMe). The stability and the convergence of the method are studied. Some illustrative examples are used, where the results are given by figures that show the efficiency and accuracy for the method.

In this paper, the series solutions of a non-linear delay integral equations are considered by a modified approach of homotopy analysis method (MAHAM). We split the function ( ) into infinite sums. The outcomes of the illustrated examples are included to confirm the accuracy and efficiency of the MAHAM. The exact solution can be obtained using special values of the convergence parameter.

The aim of the paper is to compute projective maximum distance separable codes, -MDS of two and three dimensions with certain lengths and Hamming weight distribution from the arcs in the projective line and plane over the finite field of order twenty-five. Also, the linear codes generated by an incidence matrix of points and lines of ( ) were studied over different finite fields.

The main objective of this paper is to introduce and study the generality
differential operator involving the q-Mittag-Leffler function on certain subclasses of
analytic functions. Also, we investigate the inclusion properties of these classes, by
using the concept of subordination between analytic functions.
A.M.S: 2010 Mathematics Subject Classification. 30C45, 30C50.

The problem of non-Darcian-Bènard double diffusive magneto-Marangoni convection is considered in a horizontal infinite two layer system. The system consists of a two-component fluid layer placed above a porous layer, saturated with the same fluid with a constant heat sources/sink in both the layers, in the presence of a vertical magnetic field. The lower porous layer is bounded by rigid boundary, while the upper boundary of the fluid region is free with the presence of Marangoni effects. The system of ordinary differential equations obtained after normal mode analysis is solved in a closed form for the eigenvalue and the Thermal Marangoni Number (TMN) for two cases of Thermal Boundary Combinations (TBC); these are type (i) Adiabatic-Adiabatic and type (ii) Adiabatic-Isothermal. The corresponding two TMNs are obtained and the impacts of the porous parameter, solute Marangoni number, modified internal Rayleigh numbers, viscosity ratio, and the diffusivity ratios on the non-Darcian-Bènard double diffusive magneto - Marangoni convection are studied in detail.

In the year 2018, the concept of St-Polyform modules was introduced and studied by Ahmed, where a module M is called St-Polyform, if for every submodule N of M and for any homomorphism ????:N M, ker???? is St-closed submodule in N. The novelty of this paper is that it dualizes this class of modules to a form that we denote as CSt-Polyform modules. Accordingly, some results that appeared in the original paper are dualized. For example, we prove that in the class of hollow modules, every CSt-Polyform module is Coquasi-Dedekind. In addition, several important properties of CSt-Polyform module are established, while further characterization of CSt-Polyform is provided. Moreover, many relationships of CSt-Polyform modules with other related concepts are considered, such as the copolyform, epiform, CSt-semisimple, -nonsingular modules, while some others will be introduced, such as the non-CSt-singular and G. Coquasi-Dedekind modules.

The goal of this research is to introduce the concepts of Large-coessential
submodule and Large-coclosed submodule, for which some properties are also
considered. Let M be an R-module and K, N are submodules of M such that
, then K is said to be Large-coessential submodule, if
. A
submodule N of M is called Large-coclosed submodule, if K is Large-coessential
submodule of N in M, for some submodule K of N, implies that

The main aim of this paper is to study the application of Weyl module resolution
in the case of two rows, which will be specified in the skew- partition (6, 6)/(1,1)
and (6,6)/(1,0), by using the homological Weyl (i.e. the contracting homotopy and
place polarization).

Let S be a prime inverse semiring with center Z(S). The aim of this research is to
prove some results on the prime inverse semiring with (α, β) – derivation that acts as
a homomorphism or as an anti- homomorphism, where α, β are automorphisms on S.

Suicidal ideation is one of the severe mental health issues and a serious social problem faced by our society. This problem has been usually dealt with through the psychological point of view, using clinical face to face settings. There are various risk factors associated with suicides, including social isolation, anxiety, depression, etc., that decrease the threshold for suicide. The COVID-19 pandemic further increases social isolation, posing a great threat to the human population. Posting suicidal thoughts on social media is gaining much attention due to the social stigma associated with the mental health. Online Social Networks (OSN) are increasingly used to express the suicidal thoughts. Recently, a top Indian actor industry took the harsh step of suicide. The last Instagram posts revealed signs of depression, which if anticipated could have saved the precious life. Recent research indicated that the public information on social media provides valuable insights on detecting the users with the suicidal ideation. The motive of this study is to provide a systematic review of the work done already in the use of social media for suicide prevention and propose a novel classification approach that classifies the suicide related tweets/ posts into three levels of distress. Moreover, our proposed classification task which was implemented through various machine learning techniques revealed high accuracy in classifying the suicidal posts. Among all algorithms, the best performing algorithm was that of the decision tree, with an F1 score ranging 0.95-0.97. After thoroughly studying the work achieved by different researchers in the area of suicide prevention, our study critically analyses those works and finds various research gaps and solves some of them. We believe that our work will motivate research community to look into other gaps that will in turn help psychiatrists, psychologists, and counsellors to protect individuals suffering from suicidal ideation.

The majority of systems dealing with natural language processing (NLP) and
artificial intelligence (AI) can assist in making automated and automaticallysupported
decisions. However, these systems may face challenges and difficulties or
find it confusing to identify the required information (characterization) for eliciting a
decision by extracting or summarizing relevant information from large text
documents or colossal content. When obtaining these documents online, for
instance from social networking or social media, these sites undergo a remarkable
increase in the textual content. The main objective of the present study is to conduct
a survey and show the latest developments about the implementation of text-mining
techniques in humanities when summarizing and eliciting automated decisions. This
process relies on technological advancement and considers (1) the automateddecision
support-techniques commonly used in humanities, (2) the performance
evolution and the use of the stylometric approach in text-mining, and (3) the
comparisons of the results of chunking text by using different attributes in Burrows'
Delta method. This study also provides an overview of the efficiency of applying
some selected data-mining (DM) methods with various text-mining techniques to
support the critics' decision in artistry ‒ one field of humanities. The automatic
choice of criticism in this field was supported by a hybrid approach to these
procedures.

In every system of security, to keep important data confidential, we need a high
degree of protection. Steganography can be defined as a way of sending confidential
texts through a secure medium of communications as well as protecting the
information during the process of transmission. Steganography is a technology that
is used to protect users' security and privacy. Communication is majorly achieved
using a network through SMS, e-mail, and so on. The presented work suggested a
technology of text hiding for protecting secret texts with Unicode characters. The
similarities of glyphs provided invisibility and increased the hiding capacity. In
conclusion, the proposed method succeeded in securing confidential data and
achieving high payload capacity by using the Huffman compression algorithm,
which was implemented on an unlimited text length. In addition, this approach has
the ability to hide a single bit in every digit or letter in the cover file. Also, the
approach meets the cognitive transparency and does not make the modifications
apparent on the original data. The method suggested in this work increases the
security level through coding a secret message before embedding it within the cover
text, with the use of the Advanced Encryption Standard (AES) algorithm.

The rapid evolution of wireless networking technologies opens the door to the evolution of the Wireless Sensor Networks (WSNs) and their applications in different fields. The WSN consists of small energy sensor nodes used in a harsh environment. The energy needed to communicate between the sensors networks can be identified as one of the major challenges. It is essential to avoid massive loss, or loss of packets, as well as rapid energy depletion and grid injustice, which lead to lower node efficiency and higher packet delivery delays. For this purpose, it was very important to track the usage of energy by nodes in order to improve general network efficiency by the use of intelligent methods to reduce the energy used to extend the life of the WSN and take successful routing decisions. For these reasons, designing an energy-efficient system that utilizes intelligent approaches is considered as the most powerful way to prolong the lifetime of the WSN. The proposed system is divided into four phases (sensor deployment phase, clustering phase, intra-cluster phase, and inter-cluster phase). Each of these phases uses a different intelligent algorithm with some enhancements. The performance of the proposed system was analyzed and evaluations were elaborated with well-known existing routing protocols. To assess the proficiency of the proposed system and evaluate the endurance of the network, efficiency parameters such as network lifetime, energy consumption, and packet delivery to the Sink (Base station) were exploited. The experimental outcomes justify that the proposed system surpasses the existing mechanisms by 50%.

Colonoscopy is a popular procedure which is used to detect an abnormality. Early diagnosis can help to heal many patients. The purpose of this paper is removing/reducing some artifacts to improve the visual quality of colonoscopy videos to provide better information for physicians. This work complements a series of work consisting of three previously published papers. In this paper, optic flow is used for motion compensation, where a number of consecutive images are registered to integrate some information to create a new image that has/reveals more information than the original one. Colon images were classified into informative and noninformative images by using a deep neural network. Then, two different strategies were used to treat informative and noninformative images. Informative images were treated by using Lucas Kanade with an adaptive temporal mean/median filter, whereas noninformative images were treated by using Lucas Kanade with a derivative of Gaussian (LKDOG) and adaptive temporal median images. Comparison showed that this work achieved better results than those achieved by the state-of-the-art strategies for the same degraded colon images data set. The new proposed algorithm reduced the error alignment by a factor of about 0.3, with a 100% successful image alignment ratio. In conclusion, this algorithm achieved better results than the state-of-the-art approaches in case of enhancing the informative images as shown in the results section; also, it helped to reveal some information from noninformative images that have very few details/no details.

This paper presents an efficient system using a deep learning algorithm that recognizes daily activities and investigates the worst falling cases to save elders during daily life. This system is a physical activity recognition system based on the Internet of Medical Things (IoMT) and uses convolutional neural networks (CNNets) that learn features and classifiers automatically. The test data include the elderly who live alone. The performance of CNNets is compared against that of state-of-the-art methods, such as activity windowing, fixed sample windowing, time-weighted windowing, mutual information windowing, dynamic windowing, fixed time windowing, sequence prediction algorithm, and conditional random fields. The results indicate that CNNets are competitive with state-of-the-art methods, exhibiting enhanced IoMT accuracy of 98.37%, which is the highest among the proposed solutions using the same dataset.

Nowadays, after the technological development in societies, cloud computing has
become one of the most important technologies. It provides users with software,
hardware, and platform as remote services over the Internet. The increasing number
of cloud users has caused a critical problem in how the clients receive cloud services
when the cloud is in a state of instability, as it cannot provide required services and,
thus, a delay occurs. Therefore, an algorithm was proposed to provide high
efficiency and stability to work, because all existing tasks must operate without
delay. The proposed system is an enhancement shortest job first algorithm (ESJF)
using a time slice, which works by taking a task in the shortest time first and then
the longest first from the queue. Through the experimental results in decreasing the
waiting and completion time of the task, as well as taking into account reducing
tasks starvation, the result of the proposed ESJF algorithm was compared with the
traditional shortest job first (SJF) algorithm. These algorithms were applied when all
tasks arrived at the same time, and it proved that the ESJF algorithm works more
efficiently compared to SJF.

Shot boundary detection is the process of segmenting a video into basic units known as shots by discovering transition frames between shots. Researches have been conducted to accurately detect the shot boundaries. However, the acceleration of the shot detection process with higher accuracy needs improvement. A new method was introduced in this paper to find out the boundaries of abrupt shots in the video with high accuracy and lower computational cost. The proposed method consists of two stages. First, projection features were used to distinguish non boundary transitions and candidate transitions that may contain abrupt boundary. Only candidate transitions were conserved for next stage. Thus, the speed of shot detection was improved by reducing the detection scope. In the second stage, the candidate segments were refined using motion feature derived from the optical flow to remove non boundary frames. The results manifest that the proposed method achieved excellent detection accuracy (0.98 according to F-Score) and effectively speeded up detection process. In addition, the comparative analysis results confirmed the superior performance of the proposed method versus other methods.

The Normalization Difference Vegetation Index (NDVI), for many years, was
widely used in remote sensing for the detection of vegetation land cover. This index
uses red channel radiances (i.e., 0.66 μm reflectance) and near-IR channel (i.e., 0.86
μm reflectance). In the heavy chlorophyll absorption area, the red channel is located,
while in the high reflectance plateau of vegetation canopies, the Near-IR channel is
situated. Senses of channels (Red & Near- IR) read variance depths over vegetation
canopies. In the present study, a further index for vegetation identification is
proposed. The normalized difference vegetation shortwave index (NDVSI) is
defined as the difference between the cubic bands of Near- IR and Shortwave
infrared radiation (SWIR) divided by their sums. The radiances or reflectances are
included in this index from the Near-IR channel and WSIR2 channel (2.1 μm). The
NDVSI is less sensitivite to atmospheric effects as compared to NDVI. By
comparing the one NDVSI index with the two indexes (NDVI, SAVI) of vegetation
cover, good correlations were found between NDVI and NDVSI (R2=0.917) and
between SAVI and NDVSI (R2=0.809. Accordingly, the proposed index can be
taken into consideration as an independent vegetation index