Livestock feed resources used as alternatives during feed shortages and their impact on the environment and ruminant performance in West Africa: a systematic review.

Ruminant feed is a major problem for the livestock sector in West African developing countries causing animal nutritional diseases, reducing ruminant production, and creating a massive ecological crisis through greenhouse gas emissions. Alternative feeds, which include agro-industrial by-products, fodder trees, crop residues, insects, fodder legumes, algae, and pulses, constitute enormous feed resources for livestock in Africa. This study was conducted in accordance with the methodological recommendations of PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses). We conducted a literature search using Google Scholar, Web of Science, and Scopus to identify documents related to alternative ruminant feeds using the following keywords: alternative feeds, ruminant products, environmental impacts, and West Africa. Those that met the inclusion criteria were included, resulting in 44 articles published between 2013 and 2023. These studies included 45 alternative feeds divided into six groups, including agro-industrial by-products (48.89%), followed by fodder trees (17.78%), crop residues (13.33%), insects (8.89%), fodder legumes (6.67%) and seaweeds (4.44%). Our results revealed that alternative feed resources and their effects on ruminant's performances and environment are poorly known in West Africa, which limits their inclusion in rations and sometimes leads to their misuse. Future research should focus on these aspects in order to make efficient use of these resources to improve ruminant milk and meat production.

The Contribution of Serum Sialic Acid Binding Immunoglobulin-Like Lectin 1(sSIGLEC-1) as an IFN I Signature Biomarker in the Progression of Atherosclerosis in Egyptian Systemic Lupus Erythematosus (SLE) Patients.

Clinical symptoms of systemic lupus erythematosus (SLE), such as atherosclerosis and related cardiovascular diseases, are caused by inflammatory cytokines and endothelial cell damage. The serum sialic acid binding immunoglobulin-like lectin 1 (sSIGLEC-1) is thought to be an alternative biomarker of IFN signature and may have a role in the pathogenesis of atherosclerosis. The aim of the study was to measure the levels of sSIGLEC-1 in the serum of SLE patients in comparison to a control group and examine the associations between sSIGLEC-1, SLEDAI, lipid profile, oxidized low density lipoprotein (oxLDL), and carotid intima media thickness (CIMT) to investigate whether sSIGLEC-1 participates in the development of atherosclerosis. sSIGLEC-1 levels were tested in 53 patients and 20 volunteers using ELISA kit. Duplex measurements were performed on all subjects to measure CIMT. SLE patients had significantly higher values of sSIGLEC-1 (P < 0.0001), total cholesterol (P = 0.029), triglycerides (P = 0.001), low density lipoprotein (P = 0.032), oxLDL (P = 0.001), right CIMT (P = 0.0099) and a significantly lower value of high-density lipoprotein (P = 0.04) when compared to controls. sSIGLEC-1 had significant positive correlations with right CIMT (r = 0.5, P < 0.0002) and oxLDL (r = 0.67, P < 0.0001) in all SLE patients. When compared to non-dyslipidemic patients, the dyslipidemic group exhibited significantly higher levels of all previous parameters except HDL and left CIMT. Circulating form of SIGLEC-1 accelerates atherosclerosis and provides a simple way to predict the occurrence of atherosclerosis in SLE patients.

Comparative Study between Gluteal Artery Perforator Flaps and Local Fasciocutaneous Flaps in Reconstruction of Gluteal Pressure Ulcers.

Background: Gluteal pressure ulcers are a common problem, associated with great morbidity and cost, and their surgical treatment includes debridement with complete bursectomy, followed by soft tissue coverage. Gluteal artery perforator flaps and gluteal fasciocutaneous flaps are commonly preferred for reconstruction because they preserve the gluteal muscle, allowing for revision in recurrent cases. The aim of this study was to evaluate the differences between these two flaps in the reconstruction of gluteal pressure ulcers regarding operative time, postoperative hospital stay, postoperative complications, and recurrence. Methods: This prospective comparative study was conducted on 30 patients who presented with stage IV gluteal pressure ulcers. Patients were randomly allocated into two equal groups: each group consisted of 15 patients. Cases in group A were reconstructed using gluteal artery perforator flaps, and those in group B were reconstructed using local fasciocutaneous flaps. Results: There was statistically significant long operative time and short postoperative hospital stay in gluteal artery perforator flaps when compared with local fasciocutaneous flaps. Also, the fasciocutaneous group reported a higher nonsignificant complication rate when compared with the gluteal perforator group. No recurrent cases were reported, and most patients had satisfactory outcomes in both groups. Conclusion: Both techniques are safe, reliable, and effective and can be considered as a first-line option in the reconstruction of gluteal pressure ulcers.

Locustamigratoria (L.) (Orthoptera) in a warming world: unravelling the ecological consequences of climate change using GIS.

The migratory locust, Locustamigratoria (L.), a significant grasshopper species known for its ability to form large swarms and cause extensive damage to crops and vegetation, is subject to the influence of climate change. This research paper employs geographic information system (GIS) and MaxEnt ecological modelling techniques to assess the impact of climate change on the distribution patterns of L.migratoria. Occurrence data and environmental variables are collected and analysed to create predictive models for the current and future distribution of the species. The study highlights the crucial role of climate factors, particularly temperature and precipitation, in determining the locust's distribution. The MaxEnt models exhibit high-performance indicators, accurately predicting the potential habitat suitability of L.migratoria. Additionally, specific bioclimatic variables, such as mean temperature and annual precipitation, are identified as significant factors influencing the species' presence. The generated future maps indicate how this species will invade new regions especially in Europe. Such results predict the risk of this destructive species for many agriculture communities as a direct result of a warming world. The research provides valuable insights into the complex relationship between locust distribution and environmental factors, enabling the development of effective strategies for locust management and early warning systems to mitigate the impact on agriculture and ecosystems.

Radiological characteristics of invasive micropapillary carcinoma of the breast.

AIM: To analyse the various imaging features of invasive micropapillary carcinoma (IMPC), a distinct variant of breast cancer, by mammography, ultrasound, and contrast-enhanced mammography. MATERIALS AND METHODS: This study included 68 female patients with histopathologically proven invasive micropapillary carcinoma who underwent mammography, ultrasound, and contrast-enhanced mammography examinations. The findings encountered by each imaging tool were analysed using the Breast Imaging Reporting and Data System (BI-RADS) lexicon. RESULTS: In this retrospective study, 64.7% of cases were of the pure form of IMPC. Most of the cases showed an aggressive clinical course, with lymphovascular invasion noted in 76.5% of cases, while 60.3% of cases showed associated pathological lymphadenopathy. The N3 stage was reported in 25% of cases. On analysing the mammographic and ultrasound imaging findings, a significant association between irregular shape and a non-circumscribed margin with IMPC was found. Associated calcification was noted in 47% of cases. Pathological enhancement of moderate or marked conspicuity was noted in cases that underwent contrast-enhanced mammography, with the most commonly encountered finding being enhancing irregular and non-circumscribed masses. CONCLUSION: The mammographic and ultrasound imaging features of IMPC are indistinguishable from other aggressive types of breast cancer. At contrast-enhanced mammography examination, pathological enhancement of moderate to marked conspicuity was shown in all cases. The observed strong association of IMPC with lymphovascular invasion and lymph node metastasis with higher nodal stage in this study mandate meticulous sonographic examination of the axilla, as well as the infra, and supraclavicular regions if pathological axillary lymphadenopathy was noted.

Using a neural network model to evaluate the mechanical and tribological properties of vermicular cast iron based on hardness.

Measuring the tensile strength, wear resistance, and impact strength of metals, particularly cast iron, is complex and more expensive than performing hardness tests. In the present study, owing to the ease of specimen preparation and low cost, the Hardness (HB) test was used to approximately predict Wear Rate (WR), Impact Energy (IE), and tensile strength (TS). The relation between Mg% and HB, tensile strength, WR, and IE was examined by using three experimental groups of compacted graphite cast iron (CGI) treated with a nodulizer (Fe-Si-Mg) alloy at different carbon equivalents (CEs) of 3.5, 4.0, and 4.5 %. The produced CGI exhibited HB, TS, WR, and IE of 191-226 HB, 402-455 MPa, 30.1-23.8 mg/cm2, and 22-15 J, respectively. The good results were taken at a CE of 4.5 % and Mg content of 0.0118-0.0155 %. the regression analysis and artificial neural network model (ANNs) were used in the hardness test, and the results indicated the possibility of predicting IE, WR, tensile strength, and high accuracy Mg% of the produced CGI. It could be observed that, the neural network algorithm model has a high prediction precision for determining the Mg% content and the properties of the prepared CGI based on hardness. In the case of CE = 4, the MSE calculated for the predicted and measured data taken from the used ANNs model is 3.7 E-8, 20.33, 0.3084, and 0.099 for Mg%, TS, WR, and IE, respectively.

Echocardiographic Evaluation of Pulmonary Embolism: A Review.

Pulmonary embolism (PE) is the third most common cause of cardiovascular death in the United States. Appropriate risk stratification is an important component of the initial evaluation for acute management of these patients. Echocardiography plays a crucial role in the risk stratification of patients with PE. In this literature review, we describe the current strategies in risk stratification of patients with PE using echocardiography and the role of echocardiography in the diagnosis of PE.

Clinical characteristics, evaluation and outcomes of chylopericardium: a systematic review.

OBJECTIVE: Chylopericardium (CPE) is a rare condition associated with accumulation of triglyceride-rich chylous fluid in the pericardial cavity. Due to minimal information on CPE within the literature, we conducted a systematic review of all published CPE cases to understand its clinical characteristics, management and outcomes. METHODS: We performed a literature search and identified cases of patients with CPE from 1946 until May 2021 in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. We identified relevant articles for pooled analyses of clinical, diagnostic and outcome data. RESULTS: A total of 95 articles with 98 patients were identified. Patient demographics demonstrated male predominance (55%), with a mean age of 37±15 years. Time from symptom onset to diagnosis was 5 (Q1 4.5, Q3 14) days, with 74% of patients symptomatic on presentation. Idiopathic CPE (60%) was the most common aetiology. Cardiac tamponade secondary to CPE was seen in 38% of cases. Pericardial fluid analysis was required in 94% of cases. Lymphangiography identified the leakage site in 59% of patients. Medical therapy (total parenteral nutrition, medium-chain triglycerides or octreotide) was undertaken in 63% of cases. In our cohort, 32% progressed towards surgical intervention. During a median follow-up of 180 (Q1 180, Q3 377) days, CPE recurred in 16% of cases. Of the patients with recurrence, 10% were rehospitalised. CONCLUSION: CPE tends to develop in younger patients and may cause serious complications. Many patients fail medical therapy, thereby requiring surgical intervention. Although overall mortality is low, associated morbidities warrant close follow-up and possible reintervention and hospitalisations.

Outcomes with use of extra-corporeal membrane oxygenation in high-risk pulmonary embolism: a national database perspective.

High-risk pulmonary embolism (PE) patients can be managed with systemic lysis, catheter-based therapies, or surgical embolectomy. Despite the advent of newer therapies, patients with high-risk PE remain with a 50-60% short-term mortality risk. In such patients, extracorporeal membrane oxygenation (ECMO) is increasingly utilized for hemodynamic support. To evaluate the outcomes of the use of ECMO in patients with high-risk PE. Using the National Inpatient Sample (NIS) database, we identified patients with high-risk PE using ICD 10 codes and compared in-hospital outcomes of patients with and without ECMO support. We identified 38,035 patients with high-risk PE, of whom 820 had undergone ECMO placement. Most patients who underwent ECMO were male (54%), white (65%), and with a mean age of 53.7 years. ECMO use was not associated with a meaningful difference in patient mortality when comparing treatment groups (OR, 1.32 ± 0.39; 0.74-2.35; p = 0.35). Rather, ECMO use was associated with a higher frequency of inpatient complications. ECMO use was not associated with a significant difference in patient mortality in patients with high-risk PE.

Efficient Staining-Invariant Nuclei Segmentation Approach Using Self-Supervised Deep Contrastive Network.

Existing nuclei segmentation methods face challenges with hematoxylin and eosin (H&E) whole slide imaging (WSI) due to the variations in staining methods and nuclei shapes and sizes. Most existing approaches require a stain normalization step that may cause losing source information and fail to handle the inter-scanner feature instability problem. To mitigate these issues, this article proposes an efficient staining-invariant nuclei segmentation method based on self-supervised contrastive learning and an effective weighted hybrid dilated convolution (WHDC) block. In particular, we propose a staining-invariant encoder (SIE) that includes convolution and transformers blocks. We also propose the WHDC block allowing the network to learn multi-scale nuclei-relevant features to handle the variation in the sizes and shapes of nuclei. The SIE network is trained on five unlabeled WSIs datasets using self-supervised contrastive learning and then used as a backbone for the downstream nuclei segmentation network. Our method outperforms existing approaches in challenging multiple WSI datasets without stain color normalization.

Effective Approaches to Fetal Brain Segmentation in MRI and Gestational Age Estimation by Utilizing a Multiview Deep Inception Residual Network and Radiomics.

To completely comprehend neurodevelopment in healthy and congenitally abnormal fetuses, quantitative analysis of the human fetal brain is essential. This analysis requires the use of automatic multi-tissue fetal brain segmentation techniques. This paper proposes an end-to-end automatic yet effective method for a multi-tissue fetal brain segmentation model called IRMMNET. It includes a inception residual encoder block (EB) and a dense spatial attention (DSAM) block, which facilitate the extraction of multi-scale fetal-brain-tissue-relevant information from multi-view MRI images, enhance the feature reuse, and substantially reduce the number of parameters of the segmentation model. Additionally, we propose three methods for predicting gestational age (GA)-GA prediction by using a 3D autoencoder, GA prediction using radiomics features, and GA prediction using the IRMMNET segmentation model's encoder. Our experiments were performed on a dataset of 80 pathological and non-pathological magnetic resonance fetal brain volume reconstructions across a range of gestational ages (20 to 33 weeks) that were manually segmented into seven different tissue categories. The results showed that the proposed fetal brain segmentation model achieved a Dice score of 0.791±0.18, outperforming the state-of-the-art methods. The radiomics-based GA prediction methods achieved the best results (RMSE: 1.42). We also demonstrated the generalization capabilities of the proposed methods for tasks such as head and neck tumor segmentation and the prediction of patients' survival days.

A review of water electrolysis-based systems for hydrogen production using hybrid/solar/wind energy systems.

Hydrogen energy, as clean and efficient energy, is considered significant support for the construction of a sustainable society in the face of global climate change and the looming energy revolution. Hydrogen is one of the most important chemical substances on earth and can be obtained through various techniques using renewable and nonrenewable energy sources. However, the necessity for a gradual transition to renewable energy sources significantly hampers efforts to identify and implement green hydrogen production paths. Therefore, this paper's objective is to provide a technological review of the systems of hydrogen production from solar and wind energy utilizing several types of water electrolyzers. The current paper starts with a short brief about the different production techniques. A detailed comparison between water electrolyzer types and a complete illustration of hydrogen production techniques using solar and wind are presented with examples, after which an economic assessment of green hydrogen production by comparing the costs of the discussed renewable sources with other production methods. Finally, the challenges that face the mentioned production methods are illuminated in the current review.

Molecular Identification of Newly Recorded Louse Columbicola tschulyschman Eichler (Phthiraptera: Philopteridae) From Saudi Arabia With a Note on Genus Columbicola spp. Phylogeny.

Chewing lice comprise a large group of ectoparasites that colonize and adversely affect several domestic and wild birds including pigeons. In Saudi Arabia, there is a lack of studies describing such ectoparasites and their infestation rates. Through this work, a new record, Columbicola, tschulyschman Eichler (C. tschulyschman Eichler) was collected from domestic pigeons (Columba livia domestica, Linnaeus). The collected C. tschulyschman Eichler was morphologically identified based on specific taxonomic keys. Mitochondrial (COI) and nuclear (EF-1α) gene fragments were used for molecular identification and phylogenetic reconstruction. In this study, the C. tschulyschman Eichler accounted for around 69.40%. To our knowledge, this is the first report of C. tschulyschman Eichler in Riyadh, Saudi Arabia. To improve the tree topology and differentiate between genera, further studies should utilize the 16s rRNA.

An Enhanced Scheme for Reducing the Complexity of Pointwise Convolutions in CNNs for Image Classification Based on Interleaved Grouped Filters without Divisibility Constraints.

In image classification with Deep Convolutional Neural Networks (DCNNs), the number of parameters in pointwise convolutions rapidly grows due to the multiplication of the number of filters by the number of input channels that come from the previous layer. Existing studies demonstrated that a subnetwork can replace pointwise convolutional layers with significantly fewer parameters and fewer floating-point computations, while maintaining the learning capacity. In this paper, we propose an improved scheme for reducing the complexity of pointwise convolutions in DCNNs for image classification based on interleaved grouped filters without divisibility constraints. The proposed scheme utilizes grouped pointwise convolutions, in which each group processes a fraction of the input channels. It requires a number of channels per group as a hyperparameter Ch. The subnetwork of the proposed scheme contains two consecutive convolutional layers K and L, connected by an interleaving layer in the middle, and summed at the end. The number of groups of filters and filters per group for layers K and L is determined by exact divisions of the original number of input channels and filters by Ch. If the divisions were not exact, the original layer could not be substituted. In this paper, we refine the previous algorithm so that input channels are replicated and groups can have different numbers of filters to cope with non exact divisibility situations. Thus, the proposed scheme further reduces the number of floating-point computations (11%) and trainable parameters (10%) achieved by the previous method. We tested our optimization on an EfficientNet-B0 as a baseline architecture and made classification tests on the CIFAR-10, Colorectal Cancer Histology, and Malaria datasets. For each dataset, our optimization achieves a saving of 76%, 89%, and 91% of the number of trainable parameters of EfficientNet-B0, while keeping its test classification accuracy.

Clot In Transit in a Patient with Protein S Deficiency.

Clot in transit (CIT) is a rare condition in which a venous thromboembolism becomes lodged in the right heart. It is seen in up to 18% of patients with massive pulmonary embolism, and if left untreated, mortality rates are between 80% and 100%. The identification and management of CIT are crucial. However, there are no current guidelines for the treatment of CIT. We present the case of a 44-year-old woman who was found to have CIT that was ultimately treated with medical management. LEARNING POINTS: Clot in transit (CIT) is a dangerous entity that must be promptly managed.Risk factors for CIT include a history of heart failure, a pre-existing central venous catheter and recent hospitalization.New interventions are emerging for the treatment of CIT.

Exogenous Paclobutrazol Reinforces the Antioxidant and Antimicrobial Properties of Lavender (Lavandula officinalis L.) Oil through Modulating Its Composition of Oxygenated Terpenes.

Plant growth regulators can affect the primary and secondary metabolites of various plant species. However, the effect of paclobutrazol (PBZ) on the composition of lavender oil, especially related to the terpenoid pathway, is still unclear in literatures. In this study, the effect of PBZ as a foliar spray (0.200, 400 and 600 ppm) on the vegetative growth, phytochemical content, and both antioxidant and antimicrobial properties of lavender oil were investigated. The results indicated that all examined PBZ treatments led to a significant (p ≤ 0.05) decrease in growth parameters compared to the untreated plants. Meanwhile, the yield of essential oil was significantly decreased by the treatment of PBZ at 200 ppm compared to the control. In contrast, applied-PBZ significantly enhanced the chlorophyll content and displayed a marked change in the composition of the essential oil. This change included an obvious and significant increase in 3-carene, eucalyptol, γ-terpinene, α-pinocarvone, caryophyllene, ß-vetivenene, ß-santalol, ledol, geranyl isovalerate, farnesol, caryophyllene oxide, and phytol percentage. Generally, the highest significant values were achieved by the treatment of 400 ppm compared to the other treatments. Furthermore, this treatment showed the highest free radical scavenging activity against DPPH (1,1-diphenyl-2-picrylhydrazyl) by 13% over the control. Additionally, to determine the antimicrobial activities of the extracted oil, each treatment was examined against two strains of Gram positive bacteria (S. aureus and B. cereus), two strains of Gram negative bacteria (S. enteritidis and E. coli), and two fungal species (C. albicans and A. niger) represent the yeast modal and filamentous fungus, respectively. The findings demonstrated that all examined species were more sensitive to the oil that was extracted from lavender plants, treated with 400 ppm PBZ, compared to the other concentrations.

Predicting Breast Tumor Malignancy Using Deep ConvNeXt Radiomics and Quality-Based Score Pooling in Ultrasound Sequences.

Breast cancer needs to be detected early to reduce mortality rate. Ultrasound imaging (US) could significantly enhance diagnosing cases with dense breasts. Most of the existing computer-aided diagnosis (CAD) systems employ a single ultrasound image for the breast tumor to extract features to classify it as benign or malignant. However, the accuracy of such CAD system is limited due to the large tumor size and shape variation, irregular and ambiguous tumor boundaries, and low signal-to-noise ratio in ultrasound images due to their noisy nature and the significant similarity between normal and abnormal tissues. To handle these issues, we propose a deep-learning-based radiomics method based on breast US sequences in this paper. The proposed approach involves three main components: radiomic features extraction based on a deep learning network, so-called ConvNeXt, a malignancy score pooling mechanism, and visual interpretations. Specifically, we employ the ConvNeXt network, a deep convolutional neural network (CNN) trained using the vision transformer style. We also propose an efficient pooling mechanism to fuse the malignancy scores of each breast US sequence frame based on image-quality statistics. The ablation study and experimental results demonstrate that our method achieves competitive results compared to other CNN-based methods.

Modeling the Potential Global Distribution of Honeybee Pest, Galleria mellonella under Changing Climate.

Beekeeping is essential for the global food supply, yet honeybee health and hive numbers are increasingly threatened by habitat alteration, climate change, agrochemical overuse, pathogens, diseases, and insect pests. However, pests and diseases that have unknown spatial distribution and influences are blamed for diminishing honeybee colonies over the world. The greater wax moth (GWM), Galleria mellonella, is a pervasive pest of the honeybee, Apis mellifera. It has an international distribution that causes severe loss to the beekeeping industry. The GWM larvae burrow into the edge of unsealed cells that have pollen, bee brood, and honey through to the midrib of the wax comb. Burrowing larvae leave behind masses of webs that cause honey to leak out and entangle emerging bees, resulting in death by starvation, a phenomenon called galleriasis. In this study, the maximum entropy algorithm implemented in (Maxent) model was used to predict the global spatial distribution of GWM throughout the world. Two representative concentration pathways (RCPs) 2.6 and 8.5 of three global climate models (GCMs), were used to forecast the global distribution of GWM in 2050 and 2070. The Maxent models for GWM provided a high value of the Area Under Curve equal to 0.8 ± 0.001, which was a satisfactory result. Furthermore, True Skilled Statistics assured the perfection of the resultant models with a value equal to 0.7. These values indicated a significant correlation between the models and the ecology of the pest species. The models also showed a very high habitat suitability for the GWM in hot-spot honey exporting and importing countries. Furthermore, we extrapolated the economic impact of such pests in both feral and wild honeybee populations and consequently the global market of the honeybee industry.

Manifestations of circulatory assist devices in noninvasive arterial duplex evaluation: A pictorial review.

Spectral Doppler and plethysmographic waveforms vary significantly in the presence of circulatory assist devices. Understanding the effect these devices have on the waveforms and flow characteristics is necessary for the appropriate interpretation of duplex ultrasound and other noninvasive vascular studies. We review the different arterial waveforms that can be seen with circulatory assist devices.

Effect of replacing corn grains with date palm kernels on ruminal fermentation, feed degradability, and methane production under different initial in vitro pH conditions.

Date kernels (DK) are cheap by-products rich in energy and phenolic compounds. It can be used as an alternative to the conventional sources of energy in ruminant diets while reducing methane (CH4) production. Using a semi-automated gas production (GP) system, the initial pH of buffered rumen liquor was adjusted to 5.5 and 6.8. Five experimental diets were evaluated, control (0% DK), and DK25, DK50, DK75, and DK100 presented 25, 50, 75, and 100% replacement of maize by DK, respectively. Of the 16 phenolic compounds detected in DK, protocatechuic, p-hydroxybenzoic and catechin were the most abundant. At pH 6.8, the control diet recorded higher (p < 0.05) GP values throughout the first 12 h incubation than all other DK diets, while at 5.5 pH, DK50 displayed the highest (p < 0.05) GP at 3 and 6 h compared to all other diets. At either pH conditions, all DK diets reduced (p < 0.05) CH4 compared to the control without affecting protozoal counts. At 5.5 pH, DK diets showed enhanced (p < 0.05) nutrients degradability compared to control. DK modified (P < 0.05) the fermentation patterns toward more propionate than the control under either pH conditions. Substitution of maize by 50% DK was highly recommended in ruminant diets.