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The study was conducted in the Department of Biology / College of Education for Pure Sciences / University of Mosul , During the fall season to demonstrate the effect of exposing fenugreek plants Trigonella foenum-graecum L to different drought periods (10 ,20) day and reducing the negative effects of drought by treating the soil with different levels of potassium (0.1 and 0.15 ) g/kg soil and hydrogel (8 and 10) g/kg soil , The study showed that exposing fenugreek plants to two drought periods, especially the 20-day drought period, led to a significant decrease in the concentration of total chlorophyll and carotene in the leaf tissues of the fenugreek plant, reaching (0,338) and (0,115) mg/g wet weight, respectively, compared to the control treatment, While it was observed that treating the soil with hydrogel at levels (8) and (10) g/kg soil led to an increase in the concentration of total chlorophyll, while treatment with potassium at concentrations (0,1) and (0,15) g/kg soil led to an increase in the concentration of total chlorophyll, A significant increase in total chlorophyll concentration, which reached 0,405 and 0,419 mg/g fresh weight, respectively, On the contrary, it was observed that there was a significant increase in the percentage of evidence of damage in the leaf tissues of fenugreek plants exposed to the two periods of drought 10 and 20 day , reaching (29,044) and (32,472)% compared to the control treatment, while there was a significant decrease in the percentage of evidence of damage in the leaf tissues of plants growing in the treated soil, With the gel and potassium, especially at the two concentrations (10) gm/kg soil and (0,15) gm/kg soil, which amounted to (21,618) and (21,476)%, respectively, compared to plants not treated with hydrogel and potassium, Exposing the plants to periods of drought led to a significant decrease in With the concentration of both calcium and magnesium, however, treating the soil with levels of hydrogel and potassium led to a significant increase in the concentration of the two elements in the plant compared to the control treatment.

The weak soil stabilization using solid wastes is one of the most common solutions for improving geotechnical characteristics as well as for problematic waste dumping in landfills. The present experimental study aims to examine the effect of high-volume Class-F fly ash on the geotechnical and microstructural properties of clayey soil by adding them in ranges between 5 % and 50 %. The results show that as the amount of fly ash in clayey soil increases, properties like the specific gravity, plasticity index, permeability, optimum moisture content, maximum dry density and free swelling index improves. Moreover, these geotechnical properties were analyzed to develop machine learning models using three different algorithms, namely K-nearest neighbor regression, random forest, and support vector regression, for obtaining the optimum amount of fly ash contents in weak expansive soils. The predicted and experimental results found to be in close-relation for predicting the geotechnical behavior of modified clayey soil. Furthermore, the performance of the ML models degrades as the number of components reduces, with KNN regression consistently outperforming SVR and RF but suffering significantly with fewer components. The results of the testing set in the case of four components are MSE of 77, R² of 0.896, RMSE of 0.846, MAE of 0.327, and SEE of 0.858, indicating precise and consistent predictions. However, the prediction accuracy considering lesser components shows MSE as 262, R² as 0.648, MAE as 5.606, SEE as 16.707, and GPI as 1.056, confirming the elevated error rates. Overall, it has been concluded that combining comprehensive experimental work and machine learning techniques outperforms in enhancing geotechnical data processing, optimized waste contents in weak soils, improves sustainability in construction, saves resources, reduces the possibility of human mistakes, and increases reliability.

Digital technologies are profoundly disrupting news production, distribution and consumption worldwide. Young people have been at the forefront of adopting new digital news sources, yet research on their evolving habits in developing countries is scarce. This study investigates online news motivations and behaviours among Ghanaian university students – an underrepresented demographic driving digital adoption. A survey of 1000 undergraduate students at the University for Development Studies found high degree of preference for digital online news due to its interactivity and easy accessibility over traditional platforms. The study suggest that Ghanaian students recognise the informative value of quality journalism online, but faced frustrations around connectivity, costs, skills gaps and questionable content. Findings also demonstrates Ghana’s ‘digital natives’ are actively navigating complex digital spaces to serve academic and civic needs, and not just entertainment. Policy and educational initiatives are recommended to improve infrastructure, digital literacy and access to empower students as informed online citizens. This study provides empirical evidence to advance theoretical understandings of technology domestication patterns in underrepresented Global South contexts. Findings offer practical guidance for providers and policymakers hoping to leverage digital online news innovations for democratic discourse.

In recent years, attention has focused on improving the health and satisfaction of employees by enhancing visual comfort in workplaces. This involves providing adequate natural daylight, glare control, and outdoor views. Adaptive facades, leveraging technological advancements, have gained popularity for improving indoor conditions but still face issues like window-area glare and insufficient daylight in rear spaces. Previous research indicates that inclined walls can help control glare and allow larger windows with better light distribution. This study examines the integration of an adaptive facade with an inclined wall to improve efficiency. It analyzes visual comfort in three cities with different latitudes and solar radiation angles: Mogadishu, Tehran, and Moscow. Using Grasshopper in Rhino software, the study evaluates visual comfort indices (UDI, ASE, sDA, DGP) for six employees on December 21 and June 21 at 9:00, 12:00, and 15:00. The results show that the integrated system effectively distributes daylight and controls glare, reducing it to 34% in Mogadishu and 29% in Tehran. However, in Moscow, the system is less effective, requiring facade rotation towards the sky to reduce glare to 25%. The research highlights the need to consider more variables such as window-to-wall ratio, material, and employees’ position or other objectives like energy consumption and thermal comfort for further research to improve the system.

This study evaluated the impact of various doses (5, 10, 15 g) and application sequences (1, 2, or 3 times at monthly intervals) of arbuscular mycorrhizal (AM) fungal inoculum on cardamom seedlings over two years (2020–2021 and 2021–2022). The results indicated that the dosage of AM inoculum had a more substantial effect on the seedlings than the application sequence. A 10 g dose significantly increased shoot length and dry weight, while three applications of 5 g each improved the number of fibrous roots. Although potassium uptake was not affected, phosphorus and calcium uptake were highest with the 10 g dose. Arbuscular mycorrhizal inoculation also enhanced phosphatase activity in the rhizosphere, with 5 g improving acid phosphatase and 10 g improving alkaline phosphatase activity. Disease incidence, including seedling rot was lower with the 10 g dose, and additional sequential applications did not further reduce disease. Structural equation modeling (SEM) revealed that AM colonization positively influenced dry weight through the number of fibrous roots, showing a strong relationship between AM dose, colonization, spore count, and mycorrhizal dependency. This study indicates that applying a 10 g dose of AM fungal inoculum can be particularly beneficial in agroecosystems for improving cardamom seedling growth, nutrient uptake, and disease resistance.

The present research explored the impact of varying concentrations of arbuscular mycorrhizal (AM) fungus inoculum and vermicompost on the growth, nutrient absorption, photosynthetic gas exchange, and quality parameters of ginger over a 2-year period in field conditions. In this study, the combination of 50 g each of AM and vermicompost increased plant height, number of tillers, and rhizome yield compared to the control. However, higher dry biomass (61 g) was observed with the combination of 75 g of each amendment. As expected, the application of arbuscular mycorrhizae (AM) positively affects spore count and mycorrhizal dependency percentage ranging from 58 to 70.5 spores per 50 g substrate and 19–36%, respectively. The combined use of vermicompost and AM led to a lower disease incidence of 10.5% in treatments with 25 g of each amendment and 10.1% in treatments with 50 g of each. Nutrient accumulations, particularly phosphorus (P), iron (Fe), and zinc (Zn), exhibited greater levels in ginger plants treated with vermicompost and arbuscular mycorrhizal (AM) inoculation, compared to uninoculated ginger rhizomes. The plants treated with AM and vermicompost increased the biomass accumulation by increasing the stomatal conductance and photosynthetic rate of leaves. AM and vermicompost improved ginger rhizome quality, increasing phenols by 37.8%, flavonoids by 35.7%, and essential oil by 29% compared to the control. The analysis revealed that the total flavonoid content was significantly higher in AM-treated samples compared to the control. However, the phenol content did not exhibit statistical significance across the treatments. Regarding essential oil (EO) content, our experiment highlighted that treatments with AM and vermicompost have consistently yielded higher EO content compared to other treatments. In contrast, there was no discernible trend in the fiber content with the application of AM and vermicompost amendments. PCA and correlation analyses revealed a positive influence on plant growth, nutrient absorption, and quality parameters, except for the incidence of diseases in ginger. Overall, our study finds that the concurrent use of vermicompost and arbuscular mycorrhizae (AM) makes a substantial contribution to the growth, nutrient uptake, photosynthetic, and quality parameters of ginger.

Alzheimer's is a progressive and debilitating neurological disorder characterized by cognitive decline, memory loss, and impaired daily functioning. It is an irreversible brain disease that destroys memory, thinking, and the ability to carry out daily activities. It poses significant challenges for patients and healthcare providers. Modern societies are trying to enhance the quality of people's lives, including Alzheimer's patients. In this study, we explored the potential of social robots to provide emotional support, improve cognitive function, and facilitate communication among Alzheimer's patients. This was achieved by initiating conversations on various topics such as family, relationships, and daily activities. This paper contributes to the literature by introducing a novel and well-organized framework for building an Alzheimer's care robot. Further, this study enriches the literature by introducing the Alzheimer Care Companion Robot (ACCR), designed to identify Alzheimer's patients. The ACCR initiates conversations in the native Arab-Kuwaiti dialect, displaying relevant memories through images and videos on its screen to assist in memory recall based on the individuals' life experiences. The proposed ACCR consists of 271 conversations belonging to three main categories: active, proactive, and graphical user interface (GUI) dialogs comprising 112 dialogs, 109 dialogs, and 50 dialogs for active, proactive, and GUI, respectively. The experimental result illustrated the success of the proposed solution.

Abstract Introduction We conducted this study to reflect a single-center experience with the use of neoadjuvant systemic chemotherapy (NAC) for the management of women with operable breast cancer. Methods We conducted a retrospective chart review on all women presenting with operable, stage II–III, breast cancer and were scheduled for NAC at Suez Canal University Hospital. The primary outcome of this study was to estimate the proportion of patients with breast cancer who become eligible for breast-conserving surgery (BCS) after (NAC). Results A total of 147 patients were included. Before the initiation of chemotherapy, only 66 (44.9%) patients were indicated for (BCS). A total of 40 (49.4%) new patients, out of the 81 patients who were ineligible before chemotherapy, became eligible for BCS after NAC (95% CI 39.3–61.9%). On the other hand, 8 (12.1%) patients became ineligible for BCS after NAC, out of 66 patients who were initially eligible. Out of the 98 eligible patients for BCS after chemotherapy, 72 (73.5%) patients underwent the surgery, and the remaining 26 (26.5%) patients chose modified radical mastectomy (MRM). A total of 55 out of 72 (76.4%) patients achieved pathological complete response (pCR). One woman (0.1%) experienced relapse in the 3rd year of follow-up and three women (2%) experienced relapse in the 5th year of follow-up. We found a statistically significant relationship between patients who became eligible for breast-conserving surgery and both age and estrogen receptor negativity (p = 0.001 and 0.007, respectively). Conclusion NAC can play a crucial role in increasing the rate of eligibility for BCS among women with operable, stage II–III, breast cancer.

Abstract Background The Scandinavian Neurotrauma Committee (SNC) has recommended the use of serum S100B as a biomarker for mild low-risk Traumatic brain injuries (TBI). This study aimed to assess the adherence to the SNC guidelines in clinical practice and the diagnostic performance of S100B in patients with TBI. The aims of this study were to examine adherence to the SNC guideline and the diagnostic accuracy of serum protein S100B. Methods Data of consecutive patients of 18 years and above who presented to the emergency department (ED) at Helsingborg Hospital with isolated head injuries, were retrieved from hospital records. Patients with multitrauma, follow-up visits, and visits managed by a nurse without physician involvement were excluded. Results A total of 1671 patients were included of which 93 (5.6%) had intracranial hemorrhage. CT scans were performed in 62% of patients. S100B was measured in 26% of patients and 30% of all measurements targeted the low-risk mild head injuries indicated by the guideline. S100B's recommended cut-off value (≥ 0.10 µg/L) had a 100% sensitivity, 47% specificity, 10.1% positive predictive value, and 100% negative predictive value—if applied to the target SNC category (SNC 4). If applied to all patients tested, the sensitivity was 93% for traumatic intracranial hemorrhage (TICH). Current ED practices were adherent to the SNC guideline in 55% of patients. Non-adherent practices occurred in 64% of patients with low-risk mild head injuries (SNC4) including overtesting or undertesting of S100B and CT scans. Conclusion Adherence to guidelines was low and associated with a higher admission rate than non-adherence practice but no significant increase in missed TICH or death associated with non-adherence to guideline was found. In routine care, we found that the sensitivity and NPV of serum protein S100B was excellent and safely ruled out TICH when measured in the patient category recommended by the guideline. However, measuring serum protein S100B in patients not recommended by the guideline rendered unacceptably low sensitivity with possible missed TICHs as a consequence. To further delineate the magnitude and impact of non-adherence, more studies are needed.

Disabled people are facing many difficulties communicating with others and involving in society. Modern societies have dedicated significant efforts to promote the integration of disabled individuals into their societies and services. Currently, smart healthcare systems are used to facilitate disabled people. The objective of this paper is to enable two-way communication of deaf individuals with the rest of society, thus enabling their migration from marginal elements of society to mainstream contributing elements. In the proposed system, we developed three modules; the sign recognition module (SRM) that recognizes the signs of a deaf individual, the speech recognition and synthesis module (SRSM) that processes the speech of a non-deaf individual and converts it to text, and an Avatar module (AM) to generate and perform the corresponding sign of the non-deaf speech, which were integrated into the sign translation companion system called Saudi deaf companion system (SDCS) to facilitate the communication from the deaf to the hearing and vice versa. This paper also contributes to the literature by utilizing our self-developed database, the largest Saudi Sign Language (SSL) database—the King Saud University Saudi-SSL (KSU-SSL). The proposed SDCS system performs 293 Saudi signs that are recommended by the Saudi Association for Hearing Impairment (SAHI) from 10 domains (healthcare, common, alphabets, verbs, pronouns and adverbs, numbers, days, kings, family, and regions).

Recently, several countries have been trying hard to facilitate the integration of disabled people into their societies by ensuring equal opportunities through ease of access to social services, daily human necessities, and the labor market. Deafness is considered one of the major disabilities separating the deaf from their society. To integrate the deaf fully into society, a two-way mode of communication is required: one from the deaf to the hearing people, and the other from the hearing to the deaf. Communication from the hearing person to the deaf is generally easy and can be done through speech recognition and text-to-sign representations, but communication from the deaf to the hearing is somewhat difficult and requires a sign recognition module that recognizes the sign motions from the deaf and translates it to a text; following this, a speech synthesis module will translate this text to speech. To build the sign recognition module, a sign language dataset is required. This paper contributes to the literature by introducing a comprehensive survey of 17 Arabic sign language datasets and by developing a well-organized framework that is used to build a sign language dataset. This paper also contributes to the literature by creating the largest Saudi Sign Language (SSL) database—the King Saud University Saudi-SSL (KSU-SSL data-base)—with 293 signs, 33 signers, 145,035 samples, and 10 domains (healthcare, common, alpha-bets, verbs, pronouns and adverbs, numbers, days, kings, family, and regions). This paper also contributes to the literature by introducing a convolutional graph neural network (CGCN) architecture for sign language recognition and applying the proposed architecture to the built KSU-SSL database. The architecture is made up of a small number of separable 3DGCN layers, and is augmented with a spatial attention mechanism. This study is a part of the project that aims to develop a two-way communication system for Saudi deaf individuals.

Abstract Background Pain control following breast surgery is of utmost importance in order to reduce the chance of chronic pain development, and facilitate early rehabilitation. The erector spinae plane block (ESPB) is a recently developed regional anaesthesia procedure successfully used for different types of surgical procedures including thoracic and abdominal surgeries. Methods A double-blind, randomized, controlled trial was conducted on 90 patients who were scheduled for modified radical mastectomy (MRM). Patients were randomly categorized into groups I (women who underwent ESPB), II (women who underwent paravertebral block (PVB), and III (women who underwent general anaesthesia). Results The ESPB (4.9 ± 1.2 mg) and PVB (5.8 ± 1.3 mg) groups had significantly lower total morphine consumption than the control group had (16.4 ± 3.1 mg; p

Abstract Purpose The enhanced recovery after surgery (ERAS) program expedites patient recovery after major surgery. This study aimed to investigate the role of the triad of procalcitonin (PCT), C-reactive protein (CRP), and white blood cells (WBC) trajectories as a predictive biomarker for the anastomotic leak (AL) after colorectal surgery. Method Patients who had colorectal anastomosis were prospectively included. Postoperative clinical and laboratory parameters and outcomes were collected and analyzed. The 5-day trajectories of PCT, CRP, and WBC were evaluated. Based on the trajectory of the three biomarkers, we compared patients with and without AL as detected during the first 30 days after surgery using the area under receiver operator characteristic curves (AUC) for logistic estimation. Results This study included 205 patients, of whom 56% were men and 43.9% were women with a mean age of 56.4 ± 13.1 years. Twenty-two patients (10.7%) had AL; 77.3% underwent surgery, and 22.7% were treated with drainage and antibiotics. Procalcitonin was the best predictor for AL compared to CRP and WBC at three days postoperatively (AUC: 0.84, 0.76, 0.66, respectively). On day 5, a cutoff value of 4.93 ng/mL for PCT had the highest sensitivity, specificity, and negative predictive value. The predictive power of PCT was substantially improved when combined with either CRP or WBC, or both (AUC: 0.92, 0.92, 0.93, respectively). Conclusion The 5-day trajectories of combined CRP, PCT, and WBC had a better predictive power for AL than the isolated daily measurements. Combining the three parameters may be a reliable predictor of early patient discharge, which would be highly beneficial to ERAS programs.

Introduction: Structured undergraduate research, whether mandatory or elective, provides undergraduate students with a unique opportunity to develop their research skills. However, the majority of the students undertake individual research projects rather than working in a group. This study explores the perceived benefits and challenges of fostering research focused communities of practice at a specialised health sciences university in Riyadh, Saudi Arabia. Methods: This cross-sectional study was conducted at the College of Medicine, King Saud bin Abdulaziz University for Health Sciences (KSAU-HS) Riyadh, Saudi Arabia. The study was approved by the Ethics Committee at the King Abdullah International Medical Research Center (KAIMRC). A self-administered questionnaire was developed that assessed the perceived benefits and challenges of doing research in groups. Data were collected using a mixture of a dichotomous and a 5-point Likert scale and were analysed using Statistical Program for Social Scientists (SPSS). Results: Of the 380 medical students invited to participate in this study, 307 completed the questionnaire, with a response rate of 80.7%. The majority of the medical students (87%) agreed on the importance of teamwork in conducting medical research. Almost all medical students (96%) believed patience and tolerance were required to make the team successful. Significant differences were found between junior and senior medical students regarding their perceived benefits (P-value = 0.0001) and challenges (P-value = 0.0007). Conclusion: Although most of the students believed that doing research in groups is essential and that working within such groups enhances their research knowledge, forming these research groups was not without problems. The need for patience and tolerance to keep the group together, the issue of free-riders and the difficulties related to which research group to join were some of the challenges students encountered.

Fly ash acquired from power stations causes removal challenges and environmental concerns. Disposal concerns can be solved by employing these waste materials as a raw source to improve soil stability. Stability of soil refers to the improvement of soil behaviour due to the enhancement of the soil’s geotechnical properties. Water content, strength, plasticity, and density are the most often adjusted properties. Extensive studies have focused on the influence of fly ash on soil stability. Therefore, this investigation discussed some of these studies, drawing a critical review to find out the effect of fly ash additive on soil characteristics. Also, this study focused on the impact of fly ash (FA) mixed with clay soil. Generally, it can be said that fly ash improved the soil stability, especially in terms of CBR values, the permeability of the soil and decreased the potential of volumetric soil changes through a series of experimental tests. This is due to the size and shape of particles; in addition to the treated period, volumetric dilation of the ground is reduced. Considering that the additives are not biodegradable, the behavioural adjustment of the hardened soil does not disappear.

Abstract Background Surgical devices are commonly used during breast conservative surgery (BCS) to provide better hemostasis. The Harmonic scalpel has recently gained momentum as an effective tool for intraoperative bleeding reduction. This comparative study was designed to determine the efficacy of Harmonic Focus in reducing postoperative complications of BCS after neoadjuvant chemotherapy (CTH) compared to the conventional method using monopolar diathermy. Results A prospective, nonrandomized, comparative study was conducted on patients scheduled to undergo BCS with axillary dissection after neoadjuvant CTH. Patients in the Harmonic Focus group had significantly shorter operative times than the monopolar electrocautery group (101.32 ± 27.3 vs. 139.3 ± 31.9 min, respectively; p < 0.001). Besides, blood loss was significantly lower in the Harmonic Focus group (117.14 ± 35.6 vs. 187 ± 49.8 mL, respectively; p < 0.001). Postoperatively, patients in the Harmonic Focus group had a significantly lower volume of chest wall drain (p < 0.001) and shorter time until drain removal (p < 0.001). Likewise, patients in the Harmonic Focus group had a significantly lower volume of axillary drain and shorter time until drain removal than monopolar electrocautery (p < 0.001). The incidence of postoperative complications was comparable between both groups (p = 0.128). Conclusions This study confirmed the superiority of Harmonic Focus compared to monopolar electrocautery among patients receiving neoadjuvant CTH before BCS.

Genetic diversity among ginger genotypes collected from different parts of the country was studied using molecular markers (30 RAPD and 55 SSR). Compared to RAPD primers SSR primers were efficient in distinguishing the genotypes. A total of 86 and 23 polymorphic bands were observed with RAPD and SSR primers, respectively. Percentage polymorphism observed between RAPD and SSR primers was 97.40 % and 56.54 %. Grouping of genotypes by using combined data of RAPD and SSR primers indicated that irrespective of their place of collection or geographical origin, 30 genotypes were clustered into different groups which showed that, each individual genotype is having wider variability or it might be due to the genetic similarity existing among them.

Abstract Background The oncological outcomes of laparoscopic gastrectomy (LG) and open gastrectomy (OG) following neoadjuvant chemotherapy have been investigated in a few studies. Our purpose was to evaluate the oncological outcomes of LG and OG after neoadjuvant chemotherapy in patients with locally advanced gastric cancer (GC) and to determine the advantages, preferences, and ease of use of the two techniques after chemotherapy. Methods We conducted a retrospective chart review of all patients who underwent either OG (n = 43) or LG (n = 41). The neoadjuvant treatment regimen consisted of capecitabine plus oxaliplatin for three cycles, which was then repeated 6 to 12 weeks after the operation for four cycles. Results The hospital stay time and intraoperative blood loss in the LG group were significantly lower than those in the OG group. The mortality rate and the 3-year survival rate for patients in the LG group were comparable to those of patients in the OG group (4.6% vs. 9.7% and 68.3% vs. 58.1%, respectively). Similar trends were observed regarding the 3-year recurrence rate and metastasis. The mean survival time was 52.9 months (95% confidence interval [CI], 44.2–61.6) in the OG group compared with 43.3 (95% CI, 36.6–49.8) in the LG group. Likewise, the mean disease-free survival was 56.1 months (95% CI, 46.36–65.8) in the LG group compared with 50.9 months (95% CI, 44.6–57.2) in the OG group. Conclusion LG is a feasible and safe alternative to OG for patients with locally advanced GC receiving neoadjuvant chemotherapy.

Abstract This article represents the response to the inquiries adopted by Dr. Raghuraman M Sethuraman, M.D., regarding our recently published study which compared the erector spinae plane block (ESPB) versus paravertebral block (PVB) regarding postoperative analgesic consumption following breast surgeries (Elewa et al, BMC Anesthesiol 22: 1-9, 2022). We would like to introduce our appreciation and gratitude to the author for his interest in our work, despite being inaccurate in some of his comments.

Recovery of oil palm resources is essential towards conserving environment. This study investigated the behaviour of oil palm kernel shells (PKS), palm mesocarp fibre (PMF) and empty fruit bunch (EFB) through microwave assisted pyrolysis. Power level (300–1,000 W), exposure time (10–30 min) and mass loading (20–50 g) were varied to determine its influence on char yield and calorific value at one-factor-at-a-time (OFAT) analysis. Model equations obtained from Box-Behnken design was used for Response Surface Methodology (RSM) in determining the optimum operating condition. It was found that the power level has least important influence on the solid char yield of EFB and PMF. No significant impact on the solid char yield of PMF beyond 10 min of exposure. Maximum mass inside the pyrolyser for EFB, PMF, and PKS are 40, 50, and 25 g, respectively. Calorific values of solid char produced were comparable to a low rank coal (>22 MJ/kg). From the RSM analysis, the optimum conditions for obtaining high char yield and calorific values have been determined with power level of 300 W, exposure time in the range of 16.7–32 min, and biomass mass in the range of 20–40.4 g. The outcome from this analysis is vital as it provides an alternative solution to utilise oil palm industrial wastes to be converted to solid fuel as source of renewable fuel and reduce its pollution to the environment.

Background: Colorectal cancer (CRC) is the second most common cancer in women and the third most common in men worldwide, with a significantly rising incidence in the Middle East region over the last few decades. This study investigates the histopathological and epidemiological characteristics of colonoscopic findings in a population with an average risk of CRC in Kuwait. Methods: In this study, 1,005 asymptomatic average-risk Kuwaiti adults aged over 40 years had their first colonoscopy screening during the 2015–2018 period. Data on lifestyle behaviors (cigarette smoking, alcohol consumption, and physical activity), body mass index (BMI), and comorbidities were routinely collected from these individuals. All colorectal polyps or masses were assessed for their site, size, and number and then resected and sent for histopathological examination. Results: The mean age of the participants was 54 years, and 52.2% were women. In screened individuals, the polyp detection rate, adenoma detection rate, and carcinoma detection rate were 43.8%, 27.7%, and 1.2%, respectively. Tubular, tubulovillous, and villous types of adenoma constituted 17.3%, 2.8%, and 1.3% of all screened participants. Neoplastic lesions, particularly in the proximal colon, were more common among men aged 40–49 years. Age of 70 years and older (OR: 9.6; 95% CI: 4.7–19.9; P < 0.001), male gender (OR: 1.6; 95% CI: 1.1–2.3; P = 0.011), increased BMI (OR: 1.05; 95% CI: 1.02–1.08; P = 0.001), and smoking (OR: 3.5; 95% CI: 2.3–5.4; P < 0.001) were the most significant independent risk factors for colorectal neoplasia. Conclusions: The high adenoma detection rate (ADR) in Kuwaiti population calls for the establishment of a national programe for CRC screening. The higher ADR in those younger than 50 years calls for assessment of the threshold age at which to start screening.

Background: Nucleotide-binding oligomerization domain-containing two (NOD2/CARD15) gene polymorphisms are implicated in the pathogenesis of Crohn's disease (CD). Aim: To describe the allelic frequency of NOD2/CARD15 gene variants among Kuwaiti patients with CD and investigate potential genotype/phenotype associations. Methods: Adult Kuwaiti citizens with an established diagnosis of CD and healthy controls were enrolled from October 2018 to May 2020. Three common NOD2/CARD15 polymorphisms (R702W, G908R, and L1007fs) and P268S and IVS8+158 polymorphisms were screened by polymerase chain reaction/restriction analysis length polymorphism (PCR/RFLP). Results: Ninety adult Kuwaiti patients with CD and 210 healthy subjects (as controls) were recruited. P268S, IVS8+158, G908R, and R702W minor alleles were identified in 38.9%, 21.1%, 12.2%, and 4.4% of CD patients, respectively. NOD2/CARD15 polymorphisms coexisted in 35 healthy controls (16.7%) and 21 CD patients (23.3%). Individuals with either a single or multiple polymorphism were approximately two times more likely to have CD than those with no polymorphism. Patients with multiple polymorphisms had significantly more stricturing and penetrating disease. Conclusion: NOD2/CARD15 gene polymorphisms were significantly associated with an increased risk of disease and aggressive phenotypes among the Kuwaiti CD population.

This paper presents a novel Arabic Sign Language (ArSL) recognition system, using selected 2D hands and body key points from successive video frames. The system recognizes the recorded video signs, for both signer dependent and signer independent modes, using the concatenation of a 3D CNN skeleton network and a 2D point convolution network. To accomplish this, we built a new ArSL video-based sign database. We will present the detailed methodology of recording the new dataset, which comprises 80 static and dynamic signs that were repeated five times by 40 signers. The signs include Arabic alphabet, numbers, and some daily use signs. To facilitate building an online sign recognition system, we introduce the inverse efficiency score to find a sufficient optimal number of successive frames for the recognition decision, in order to cope with a near real-time automatic ArSL system, where tradeoff between accuracy and speed is crucial to avoid delayed sign classification. For the dependent mode, best results were obtained for dynamic signs with an accuracy of 98.39%, and 88.89% for the static signs, and for the independent mode, we obtained for the dynamic signs an accuracy of 96.69%, and 86.34% for the static signs. When both the static and dynamic signs were mixed and the system trained with all the signs, accuracies of 89.62% and 88.09% were obtained in the signer dependent and signer independent modes respectively.

Due to the rapid developments in technology and the sudden expansion of social media use, Dialect Arabic has become an important source of data that needs to be addressed when building Arabic corpora. In this paper, thirty-three Arabic corpora are surveyed to show that despite all of the developments in the literature, Saudi dialect (SD) corpora still need further expansion. This paper contributes to the literature on SD corpora by creating the largest Saudi corpus – the King Saud University Saudi Corpus (KSUSC) – with +1B total words, including +119M SD words. The KSUSC not only is the newest and largest SD corpus but is also diverse, covering 26 domains in text collected from five different sources. This paper also contributes to the literature by developing a new incremental preprocessing system that is used to create relevant lexicons that are then used to clean and normalize the collected data. This incremental system is scalable and can be adapted for different resources and dialects. Moreover, the collection process for building the KSUSC is discussed in detail, and the challenges in collecting SD text with respect to each platform are highlighted. By the end of this paper, different design criteria are proposed and used with the KSUSC to conclude that the resulting corpus can be of great benefit to researchers who are interested in integrating the corpus with their own work or using its resulting lexicons with Saudi-based NLP tasks.

The study was intended to compare and evaluate the in vitro thrombolytic activity and in vivo anxiolytic activities of methanol extracts of Piper nigrum fruits (MEPNF) and Sesamum indicum seeds (MESIS). An in vitro thrombolytic activity was employed by investigating the clot lysis effect of MEPNF, MESIS, and their combinations. In vivo anxiolytic activity of MEPNF and MESIS was examined by using the Elevated Plus Maze (EPM) test considering diazepam (1 mg/kg) as the standard drug. In the thrombolytic test, MEPNF and MESIS showed a moderate (P < 0.1) clot lysis activity. Besides, MEPNF and MESIS showed significant (P < 0.001) dose-dependent anxiolytic activity. Since MEPNF 200 and 400 (mg/kg, b.w; p.o) was administered, the time spent in the open arms, and the number of entry into the open arms were increased. The finding suggests that MEPNF and MESIS may be the source for biological activity and therefore further research is required for confirmation. [ J Adv Biotechnol Exp Ther 2020; 3(3.000): 158-164]

Abstract Background Laparoscopic sleeve gastrectomy was recently described as an effective approach for the operative treatment of obesity, but the ideal procedure remains controversial. One of the most debated issues is the resection distance from the pylorus. We conducted this study to elucidate any potential differences in the short-term outcomes between 2 and 6 cm distance from the pylorus in laparoscopic sleeve gastrectomy. Methods A prospective observational cohort study in a selected cohort of 96 patients was conducted from January 2018 to March 2019 in morbidly obese patients who had laparoscopic sleeve gastrectomy performed at Suez Canal University Hospital. Outcome was expressed by excess weight loss percentage, resolution of comorbidities, improvement of quality of life, and incidence of complications after laparoscopic sleeve gastrectomy. The morbidly obese patients (body mass index [BMI] > 40 kg/m2 or > 35 kg/m2 with obesity-related comorbidities) in the study were divided into two equal groups: (1) Group 1 (48 patients) underwent laparoscopic sleeve gastrectomy with a 2 cm distance from the pylorus resection distance and (2) Group 2 (48 patients) underwent laparoscopic sleeve gastrectomy with a 6 cm distance from the pylorus resection distance. Body weight, BMI, bariatric quality of life, lipid profile, and comorbidities were evaluated pre- and post-operatively for a duration of 12 months. Results Statistically, no significant differences between the two study groups regarding the excess weight loss percentage, comorbidity resolution throughout the postoperative follow-up, enhancement of the quality of life score throughout the postoperative follow-up, or incidence of complications (25% in Group 1 versus 25% in Group 2, p > 0.05) were found. Conclusion Laparoscopic sleeve gastrectomy was an effective and safe management for morbid obesity and obesity-related comorbidities with significant short-term weight loss; it also improved weight-related quality of life and had an acceptable complication rate. The distance from the pylorus resection distance did not affect the short-term effects of laparoscopic sleeve gastrectomy regarding excess weight loss percentage, resolution of comorbidities, change in quality of life, or occurrence of complications.

Semantic Textual Similarity (STS) is the task of identifying the semantic correlation between two sentences of the same or different languages. STS is an important task in natural language processing because it has many applications in different domains such as information retrieval, machine translation, plagiarism detection, document categorization, semantic search, and conversational systems. The availability of STS training and evaluation data resources for some languages such as English has led to good performance systems that achieve above 80% correlation with human judgment. Unfortunately, such required STS data resources are not available for many languages like Arabic. To overcome this challenge, this paper proposes three different approaches to generate effective STS Arabic models. The first one is based on evaluating the use of automatic machine translation for English STS data to Arabic to be used in fine-tuning. The second approach is based on the interleaving of Arabic models with English data resources. The third approach is based on fine-tuning the knowledge distillation-based models to boost their performance in Arabic using a proposed translated dataset. With very limited resources consisting of just a few hundred Arabic STS sentence pairs, we managed to achieve a score of 81% correlation, evaluated using the standard STS 2017 Arabic evaluation set. Also, we managed to extend the Arabic models to process two local dialects, Egyptian (EG) and Saudi Arabian (SA), with a correlation score of 77.5% for EG dialect and 76% for the SA dialect evaluated using dialectal conversion from the same standard STS 2017 Arabic set.

Childhood obesity has become one of the major health issues in the global population. The increasing prevalence of childhood obesity is associated with serious health issues and comorbidities related to obesity. Several studies mentioned that childhood obesity became even worse recently due to the effect of COVID-19 and the consequent policies and regulations. For that reason, Internet of Things (IoT) technologies should be utilized to overcome the challenges related to obesity management and provide care from a distance to improve the health care services for obesity. However, IoT by itself is a limited resource and it is important to consider other artificial intelligent (AI) components. Thus, this paper contributes into the literature of child obesity management by introducing a comprehensive survey for obesity management covering clinical work measuring the association between sleep disturbances and childhood obesity alongside physical activity and diet and comparatively analyzing the emerging technologies used to prevent childhood obesity. It further contributes to the literature by proposing an interactive smart framework that combines clinical and emerging AI/telehealth technologies to manage child obesity. The proposed framework can be used to reduce children obesity and improve their quality of life using Machine Learning (ML). It utilizes IoT devices to integrate information from different sources and complement it with a mobile application and web-based platform to connect parents and physicians with their child.

This study examined the edu-communication strategies that agriculture extension service agencies use in the dissemination and promotion of innovation adoption among cashew farmers in the Kpandai district agricultural zones in Northern Ghana. A total of 140 cashew farmers were sampled using simple random sampling technique. Three District Agricultural Officers (DAO) and twenty-one satellite Agriculture Extension Officers (AEO) were also drawn into the sample. The results of the study show that, face to face interaction, field demonstration, entertainment- education through community radio broadcasting and Farmer Group Discussions (FGDs) were extensively and efficiently used by the AEOs to promote adoption of improved production technologies among cashew farmers. The study discovered that EduCom strategies contribute to higher rates of adoption and partly accounts for increased cashew yields in the study area. The indigenisation of agriculture extension services approaches using local language in the design and dissemination of adoption process is, highly recommended as a core tenet of technology dissemination if higher adoption rates are expected.

According to the Food and Agriculture Organization, the world production of date fruits is 8,526,218 tons and around 1,302,859 tons in the Kingdom of Saudi Arabia (KSA) in 2018. There are several types of date fruits, and the most common in KSA are Barhi, Khalas, Meneifi, Naboot Saif, and Sullaj. Moreover, there are around five main maturity levels: Immature, Khalal, Khalal with Rutab, Pre-Tamar, and Tamar. Harvesting date fruits is performed according to its maturity level and type, which is a critical decision that significantly affects profit. In this paper, we propose a smart harvesting decision system to estimate date fruits type, maturity level, and weight using computer vision (CV) and deep learning (DL) techniques. The proposed system consists of three sub-systems: Dates maturity estimation system (DMES), type estimation system (DTES), and dates weight estimation system (DWES). We utilized four DL architectures, including ResNet, VGG-19, Inception-V3, and NASNet for both DMES and DTES and support vector machine (SVM) (regression and linear) for DWES. We evaluated the performance of the proposed system using the dataset collected by the Center of Smart Robotics Research. Using multiple performance metrics, DTES achieved maximum performance of 99.175% accuracy, an F1 score of 99.225%, 99.8% average precision, and 99.05% average recall. The maximum performance of DMES was 99.058% accuracy, F1 score of 99.34%, 99.64% average precision, and 99.08% average Recall. DWES achieved a maximum performance of 84.27% using SVM-Linear.

Date is the main fruit crop of the Kingdom of Saudi Arabia (KSA), approximately covering 72% of the total area under permanent crops. The Food and Agriculture Organization states that date production worldwide was 3,430,883 tons in 1990, which increases yearly, reaching 8,526,218 tons in 2018. Date production in KSA was around 527,881 tons in 1990, approximately reaching 1,302,859 tons in 2018. Harvesting date fruits at an appropriate time according to a specific maturity stage or level is a critical decision that significantly affects profit. In the present study, we proposed an intelligent harvesting decision system (IHDS) based on date fruit maturity level. The proposed decision system used computer vision and deep learning (DL) techniques to detect seven different maturity stages/levels of date fruit (Immature stage 1, Immature stage 2, Pre-Khalal, Khalal, Khalal with Rutab, Pre-Tamar, and Tamar). In the IHDS, we developed six different DL systems, and each one produced different accuracy levels in terms of the seven aforementioned maturity stages. The IHDS used datasets that have been collected by the Center of Smart Robotics Research. The maximum performance metrics of the proposed IHDS were 99.4%, 99.4%, 99.7%, and 99.7% for accuracy, F1 score, sensitivity (recall), and precision, respectively.

Abstract Background Breast cancer, with an incidence of 32%, is the most frequent cancer among Egyptian women. The frequency of arm lymphedema after axillary surgery for breast cancer ranges from 7 to 77%. Axillary reverse mapping is a technique aimed to distinguish and conserve upper-limb lymphatics and lymph nodes during the course of axillary surgery and could help to prevent arm lymphedema. Methods Patients (n = 48) were prepared for axillary lymph-node dissection. The study group and the control group each contained 24 individuals. In the study group, following dye injection, stained arm lymph nodes and lymphatics were conserved during axillary dissection, whereas control-group participants underwent the conventional procedure. All participants were re-evaluated after 6 months, and the incidence of lymphedema was recorded by measuring arm circumference at a level 10 cm proximal to the medial epicondyle. Arm lymphedema was defined as a change in the circumference of the ipsilateral upper extremity > 2 cm during the follow-up period. Results Age, tumor size and N stage were not significantly different between the study and control groups. Lymph-node visualization was achieved in 20 participants (83.3%) in the study group. Suspicious stained lymph nodes were surgically removed from four individuals but showed no metastatic involvement. In 20 individuals in the study group, no stained lymph nodes were removed. The incidence of lymphedema in the control group was 16.7%, and the incidence in the study group was 4.2%. Conclusions Axillary reverse mapping is a minimally invasive technique that can be performed during axillary lymph-node dissection, helping to prevent the subsequent development of arm lymphedema. Trial registration #SCURCTN3276, retrospectively registered on 11 April 2017 at Research Ethics Committee at the Faculty of medicine-Suez Canal University.

Abstract Background Laparoscopic large para-oesophageal hiatal hernia (LPHH) repair using mesh reinforcement significantly reduces postoperative recurrence rates compared to conventional suture repair, especially within short follow-up times. However, the ideal strategy for repairing LPHH remains disputable because no clear guidelines are given regarding indications, mesh type, shape or position. The aim of this study was to survey our short-term results of LPHH management with a biosynthetic monofilament polypropylene mesh coated with titanium dioxide to enhance biocompatibility (TiO2Mesh™). Methods A retrospective study was performed at Ramon y Cajal University Hospital, Spain from December 2014 to October 2018. Data were collected on 27 consecutive patients with extensive hiatal hernia defects greater than 5 cm for which a laparoscopic repair was performed by primary suture and additional reinforcement with a TiO2Mesh™. Study outcomes were investigated, including clinical and radiological recurrences, dysphagia and mesh-related drawbacks. Results Twenty-seven patients were included in our analysis; 10 patients were male, and 17 were female. The mean age was 73 years (range, 63–79 years). All operations were performed laparoscopically. The median postoperative hospital stay was 3 days. After a mean follow-up of 18 months (range, 8-29 months), only 3 patients developed clinical recurrence of reflux symptoms (11%), and 2 had radiological recurrences (7%). No mesh-related complications occurred. Conclusions TiO2Mesh™ was found to be safe for laparoscopic repair of LPHH with a fairly low recurrence rate in this short-term study. Long-term studies conducted over a period of years with large sample sizes will be essential for confirming whether this mesh is suitable as a standard method of care with few drawbacks.

Abstract Introduction Nipple-sparing mastectomy (NSM) has gained much attention by enhancing the aesthetic outcome in breast carcinoma patients. The aim of this study was to assess the prevalence of malignant affection of the nipple-areola complex (NAC) in breast carcinoma patients and its correlation with prognostic factors for breast cancer. Patients and methods This study included 137 female patients diagnosed with breast carcinoma at different disease stages who were admitted to our surgical oncology unit at Suez Canal University Hospital from June 15, 2014 to January 25, 2017. We excluded patients with evidence of nipple involvement as ulceration or patients with previous breast surgery with periareolar incisions. This study was designed to test the hypothesis that the NAC can be spared in certain selected patients. All studied participants provided a full history and underwent general and local clinical examinations, pre-operative laboratory tests, and radiological and pathological evaluations. Results The mean age of the study population was 47.39 ± 8.01 years. Among the patients, the NAC was affected in 12 (11.40%) patients. Patients with NAC involvement showed a significantly larger tumor size of more than 4 cm and a shorter tumor-nipple distance of less than 2 cm (p = 0.000). Lymph node metastasis was associated with NAC involvement (p = 0.001), with increased risk when more than 10 lymph nodes were involved (p = 0.007). Lymphovascular invasion was a significant predictor of NAC involvement (p = 0.014). Multifocal as well as multicentric tumors were significantly associated with NAC involvement (p = 0.016 and 0.003, respectively). NAC involvement was more likely in Estrogen receptor (ER) and Progesterone receptor (PR) patients than in ER+ and PR+ patients (p = 0.000), while Human epidermal receptor (HER+) patients were more likely to have NAC involvement than HER patients (p = 0.000). Additionally, stage ΙΙΙ cancer was significantly associated with NAC involvement (p = 0.041), and histological grade III disease carried a greater risk than grade I disease of NAC involvement (p = 0.008). Conclusion The incidence of NAC affection among breast carcinoma patients who underwent mastectomy and axillary clearance was associated with important parameters, such as tumor size, areola edge-tumor distance, lymph node affection, hormonal receptor status and lymphovascular invasion. Accordingly, NAC-preserving surgeries could be tailored to patients with favourable tumor characteristics.

BACKGROUND: Despite the fact that diabetes is an important component of the burden of disease on the individual and on the national healthcare systems in Saudi Arabia, knowledge of the volume of emergency department (ED) visits for diabetes is unclear. OBJECTIVE: Examine changes in ED visit rates associated with diabetes. DESIGN: Retrospective. SETTING: Governmental hospitals. METHODS: Publicly available records of health statistics published by the Saudi Ministry of Health from 2011 through 2015 were used to extract data on ED visits related to diabetes. ED visits associated with diabetes were compared over time and by gender. We calculated diabetes-specific rates per 10 000 persons for each sex category by dividing the total number of diabetes-associated ED visits in that category by the sex-specific population. We calculated the rate difference (RD) with 95% CI between 2011 and 2015. MAIN OUTCOME MEASURES: Diabetes-specific rates per 10 000 persons for each sex category. RESULTS: Total annual visits to the ED for management of diabetes increased from 617 683 cases in 2011 to 748 605 in 2015. The annual number of ED visits associated with diabetes increased by 21% over the study period (20% for males and 23% for females). Compared to males, females had a larger increase in visit rates from 240.5 to 249.8 visits per 10 000 women over the study years (RD, 9.6 per 10 000 persons, 95% CI-16.4 to 26.6 versus 5.7 per 10 000 persons, 95% CI-13.6 to 18.3; P=.01). CONCLUSION: Although diabetes-associated ED visit rates dramatically increased in 2012, they remained relatively stable after 2012 to the end of the study period. More effective preventive diabetes programs that prevent the use of ED visits and other expensive healthcare resources among people with diabetes are needed. LIMITATIONS: We had no information on the specific indications for the reported ED visits. These estimates may represent a lower bound on ED visits associated with diabetes since the private sector was not included. CONFLICT OF INTEREST: None.

Abstract Objective The aim of this study is to examine the association between coping strategies, resilience, optimism and different mental health outcomes like stress, anxiety, and depression among the medical residents’ during the COVID‐19 pandemic, with consideration of different factors like seniority, frontliner, gender, and coping style. Methods An electronic survey was sent to all medical residents in Qatar. Depression, anxiety, and stress were assessed by the DASS‐21. Professional quality of life was measured by the ProQOL scale. The coping mechanisms were assessed with the Brief‐COPE, and resilience was measured by the Brief Resilience Scale. Results The most commonly used coping strategies were acceptance, religion, and active coping. The avoidant coping style scores were higher among junior residents (p = .032) and non‐COVID‐19 frontliners (p = .039). Optimism LOT‐R score was higher in senior than in junior residents (p

Sign language is the main channel for hearing-impaired people to communicate with others. It is a visual language that conveys highly structured components of manual and non-manual parameters such that it needs a lot of effort to master by hearing people. Sign language recognition aims to facilitate this mastering difficulty and bridge the communication gap between hearing-impaired people and others. This study presents an efficient architecture for sign language recognition based on a convolutional graph neural network (GCN). The presented architecture consists of a few separable 3DGCN layers, which are enhanced by a spatial attention mechanism. The limited number of layers in the proposed architecture enables it to avoid the common over-smoothing problem in deep graph neural networks. Furthermore, the attention mechanism enhances the spatial context representation of the gestures. The proposed architecture is evaluated on different datasets and shows outstanding results.

Abstract Background Medication errors have been the largest component of medical errors threatening patient safety worldwide. Several international health bodies advocate measuring safety culture within healthcare organizations as an effective strategy for sustainable safety improvement. To the best of our knowledge, this is the first study conducted in a Middle Eastern country at the level of community pharmacy, to examine safety culture and to evaluate the extent to which patient safety is a strategic priority. Methods A descriptive cross-sectional study was conducted. The Pharmacy Survey on Patient Safety Culture (PSOPSC), developed by the Agency for Healthcare Research and Quality (AHRQ), was used to collect data. PSOPSC is a self-administered questionnaire which was previously tested for validity and reliability. The questionnaire was distributed among pharmacists who work in community pharmacies from the five governorates of Kuwait (Capital, Hawalli, Farwaniya, Jahra, and Ahmadi). The Statistical Package for Social Science (SPSS) software, version 24 was used for analysing data. Results A total of 255 community pharmacists from the five governorates were approached to participate in the study, of whom 253 returned a completed questionnaire, with the response rate of 99%. Results from the study showed that patient safety is a strategic priority in many aspects of patient safety standards at the level of community pharmacies. This was reflected by the high positive response rate (PRR) measures demonstrated in the domains of “Teamwork” (96.8%), “Organizational Learning-Continuous Improvement” (93.2%) and “Patient Counselling” (90.9%). On the other hand, the lowest PRR was given to the “Staffing, Work Pressure, and Pace” domain which scored 49.7%. Conclusions Understanding community pharmacists’ perspectives of patient safety culture within their organization is critical. It can help identify areas of strength and those that require improvement, which can help support decision about actions to improve patient safety. The current study showed that urgent attention should be given to the areas of weakness, mainly in the dimension of “Staffing, Work Pressure and Pace.” The pharmacists pointed the need for adequate breaks between shifts and less distractible work environment to perform their jobs accurately.

Abstract Background Seroma is the most frequent postoperative complication following breast cancer surgery. Our aim was to evaluate the effect of the harmonic focus scalpel versus electrocautery in reducing seroma formation post-mastectomy and axillary clearance. Methods A prospective randomized controlled trial study was conducted at the Department of Surgery of Suez Canal University Hospital from April 26th 2014 to 30th June 2016. Seventy-two women, in whom a mastectomy and axillary clearance for breast cancer were performed, were randomly allocated to either harmonic dissection (n = 36) or electrocautery (n = 36). Results The mean operative time was significantly longer for harmonic dissection compared with electrocautery (2.63 ± 0.41 vs. 1.75 ± 0.26 h; p

Recently, stereovision has been used in robotics for obtaining information for real-time mapping. Stereovision makes use of two cameras to solve the problems of a lack of discriminative image features and repetitive patterns and to extend the field of view. Stereovision algorithms and techniques are working to create a map to know its surrounding environment. Despite advances in the field of autonomous robotics, several challenges still exist. The majority of these challenges exist owing to the dynamic nature of the navigational environment and the lack of complete knowledge of new, unknown, and complex environments. In this paper, we create a novel, intelligent, and dynamic mapping system for autonomous navigation using stereovision. The proposed system is called intelligent multi-sensor multi-baseline mapping system (I3MS). The main contribution of this paper is the dynamic tuning of the stereovision parameters to address the dynamics of the environment (various light conditions, movement obstacles, and various times of day). The I3MS works in unstructured, unknown, dynamic, and indoor environments. It is based on an in-depth study of the effects of light and distance from obstacles on the accuracy of the 3-D map. It uses a fuzzy-logic system to tune the stereovision parameters to handle dynamic environments. The obtained experimental results illustrate the robustness and accuracy of the proposed system.

Numerous applications, such as material handling, manufacturing, security, and automated transportation systems, use mobile robots. Autonomous navigation remains one of the primary challenges of the mobile robot industry; many new control algorithms have been recently developed that aim to overcome this challenge. These algorithms are primarily related by their adoption of new strategies for avoiding obstacles and minimizing the travel time to a target along an optimal path. In this paper, we introduce four different navigation systems for an autonomous mobile robot (PowerBot) and compare them. The four systems are based on a fuzzy logic controller (FLC). The FLC of one system is tuned by an inexperienced human (naive), while the three other FLCs are optimized through a genetic algorithm (GA), particle swarm optimization (PSO), and a human expert. We hope the comparison answers the question of which is the best controller. In other words, “who can win?,”the naive, the GA, the PSO, or the expert, in fine tuning the membership functions of the navigation and obstacle avoidance behavior of the mobile robot? To answer this question, we used four different techniques for optimization (the naive FLC, GA, PSO, and FLC-expert) and used many criteria for comparison, whereas other research papers have dealt with two techniques at a time.

Crowdsourcing is a new mode of value creation in which organizations leverage numerous Internet users to accomplish tasks. However, because these workers have different backgrounds and intentions, crowdsourcing suffers from quality concerns. In the literature, tracing the behavior of workers is preferred over other methodologies such as consensus methods and gold standard approaches. This paper proposes two novel models based on workers’ behavior for task classification. These models newly benefit from time-series features and characteristics. The first model uses multiple time-series features with a machine learning classifier. The second model converts time series into images using the recurrent characteristic and applies a convolutional neural network classifier. The proposed models surpass the current state of-the-art baselines in terms of performance. In terms of accuracy, our feature-based model achieved 83.8%, whereas our convolutional neural network model achieved 76.6%.

In this article, we introduce a localization system to reduce the accumulation of errors existing in the dead-reckoning method of mobile robot localization. Dead-reckoning depends on the information that comes from the encoders. Many factors, such as wheel slippage, surface roughness, and mechanical tolerances, affect the accuracy of dead-reckoning. Therefore, an accumulation of errors exists in the dead-reckoning method. In this article, we propose a new localization system to enhance the localization operation of the mobile robots. The proposed localization system uses the extended Kalman filter combined with infrared sensors in order to solve the problems of dead-reckoning. The proposed system executes the extended Kalman filter cycle, using the walls in the working environment as references (landmarks), to correct errors in the robot’s position (positional uncertainty). The accuracy and robustness of the proposed method are evaluated in the experiment results’ section.

Countless applications today are using mobile robots, including autonomous navigation, security patrolling, housework, search-and-rescue operations, material handling, manufacturing, and automated transportation systems. Regardless of the application, a mobile robot must use a robust autonomous navigation system. Autonomous navigation remains one of the primary challenges in the mobile-robot industry; many control algorithms and techniques have been recently developed that aim to overcome this challenge. Among autonomous navigation methods, vision-based systems have been growing in recent years due to rapid gains in computational power and the reliability of visual sensors. The primary focus of research into vision-based navigation is to allow a mobile robot to navigate in an unstructured environment without collision. In recent years, several researchers have looked at methods for setting up autonomous mobile robots for navigational tasks. Among these methods, stereovision-based navigation is a promising approach for reliable and efficient navigation. In this article, we create and develop a novel mapping system for a robust autonomous navigation system. The main contribution of this article is the fuse of the multi-baseline stereovision (narrow and wide baselines) and laser-range reading data to enhance the accuracy of the point cloud, to reduce the ambiguity of correspondence matching, and to extend the field of view of the proposed mapping system to 180°. Another contribution is the pruning the region of interest of the three-dimensional point clouds to reduce the computational burden involved in the stereo process. Therefore, we called the proposed system multi-sensors multi-baseline mapping system. The experimental results illustrate the robustness and accuracy of the proposed system.

This article presents a new approach to control a wheeled mobile robot without velocity measurement. The controller developed is based on kinematic model as well as dynamics model to take into account parameters of dynamics. These parameters related to dynamic equations are identified using a proposed methodology. Input–output feedback linearization is considered with a slight modification in the mathematical expressions to implement the dynamic controller and analyze the nonlinear internal behavior. The developed controllers require sensors to obtain the states needed for the closed-loop system. However, some states may not be available due to the absence of the sensors because of the cost, the weight limitation, reliability, induction of errors, failure, and so on. Particularly, for the velocity measurements, the required accuracy may not be achieved in practical applications due to the existence of significant errors induced by stochastic or cyclical noise. In this article, Elman neural network is proposed to work as an observer to estimate the velocity needed to complete the full state required for the closed-loop control and account for all the disturbances and model parameter uncertainties. Different simulations are carried out to demonstrate the feasibility of the approach in tracking different reference trajectories in comparison with other paradigms.