ahmedabdelwahed/Medical_papers_title_and_abstract_NLP_dataset huggingface dataset:
Machine learning in additive manufacturing: State-of-the-art and perspectives

Additive manufacturing (AM) has emerged as a disruptive digital manufacturing technology. However, its broad adoption in industry is still hindered by high entry barriers of design for additive manufacturing (DfAM), limited materials library, various processing defects, and inconsistent product quality. In recent years, machine learning (ML) has gained increasing attention in AM due to its unprecedented performance in data tasks such as classification, regression and clustering. This article provides a comprehensive review on the state-of-the-art of ML applications in a variety of AM domains. In the DfAM, ML can be leveraged to output new high-performance metamaterials and optimized topological designs. In AM processing, contemporary ML algorithms can help to optimize process parameters, and conduct examination of powder spreading and in-process defect monitoring. On the production of AM, ML is able to assist practitioners in pre-manufacturing planning, and product quality assessment and control. Moreover, there has been an increasing concern about data security in AM as data breaches could occur with the aid of ML techniques. Lastly, it concludes with a section summarizing the main findings from the literature and providing perspectives on some selected interesting applications of ML in research and development of AM.
PTHrP attenuates osteoblast cell death and apoptosis induced by a novel class of anti-cancer agents

The effectiveness of chemotherapeutic agents often limits their use due to their negative effects on normal cells. Apoptosis regulatory protein (CARP)-1 functional mimetics (CFMs) belong to a novel class of compounds that possess anti-cancer properties with potential utility in breast and other cancers. In this study, we investigated the growth inhibitory action of CFM-4 and -5 in bone-forming osteoblasts and role of a skeletal regulator, parathyroid hormone (PTH)-related peptide (PTHrP), which is frequently associated with oncologic pathologies. MC3T3E1-clone4 (MC-4) or primary osteoblasts were treated with CFMs. Western blots were performed to determine specific protein expressions. MTT, TUNEL assay, ethidium bromide/acridine orange staining, and ApoAlert caspase profiling were used to investigate cell viability and apoptosis of osteoblasts. Immunofluorescence staining was performed to observe intracellular localization of CARP-1. Our studies revealed that CFM-4 and -5 suppressed growths of mature differentiated, but not proliferating, MC-4 cells and PTHrP attenuated this effect. Mechanistically, induction of CARP-1 protein by CFM-4 and -5 was partially decreased by PTHrP. While CARP-1 increased by CFM-4 or -5 correlated with activated caspase-3, PTHrP remarkably blocked caspase-3 activation. PTHrP also influenced translocation of CFM-induced CARP-1 from the nucleus to the cytoplasm. Our data identify a new function of PTHrP in maintaining osteoblast homeostasis in chemotherapy and define a role of CARP-1 in this process. The crosstalk of PTHrP and CFM-4 and -5 signaling highlights the importance of CFMs as potential anti-cancer therapeutics in breast and other cancers which adversely affect bone.
Intraoperative cell salvage using swab wash and serial thromboelastography in elective abdominal aortic aneurysm surgery involving massive blood loss

The loss of 50% blood volume is one accepted definition of massive haemorrhage, which ordinarily would trigger the massive transfusion protocol, involving the administration of high ratios of fresh frozen plasma and platelets to allogeneic red cells. We investigated 53 patients who experienced >50% blood loss during open elective abdominal aortic aneurysm surgery to assess allogeneic blood component usage and coagulopathy. Specialist patient blood management practitioners used a tailored cell salvage technique including swab wash to maximise blood return. We assessed the proportion of patients who did not require allogeneic blood components and develop evidence of coagulopathy by thromboelastography (TEG) parameters. Blood loss was 50%-174% (mean [SD] 68% [27%]) of blood volume. The mean (SD) intraoperative decrease in haemoglobin concentration, assessed by arterial blood gas analysis, was 5 (13) g/l. No patient received allogeneic red cells intraoperatively. Four of the 53 (8%) patients received blood components in the first 24 h postoperatively at the anaesthetists' discretion. No patient had intraoperative TEG changes indicative of fibrinolysis or coagulopathy. The 30-day mortality was 2% (one of 53). Reduction of allogeneic transfusion is one aim of patient blood management techniques. We have demonstrated virtual avoidance of allogeneic blood product transfusion despite massive blood loss. These data show possible alternatives to the current massive transfusion protocols to the management of elective vascular surgical patients.
A Gradient Intensity-Adapted Algorithm With Adaptive Selection Strategy for the Fast Decision of H.264/AVC Intra-Prediction Modes

H.264/Advanced Video Coding (AVC) is well known for its superiority of finding an optimal tradeoff between the visual quality and the bit-rate expense. Nevertheless, the highly complex procedures of finding an optimal intra-or interprediction mode can degrade the run-time performance of the coding process. To speed up the run-time performance during the encoding of H.264/AVC intra-prediction mode, we apply in this paper a simple yet effective gradient evaluation approach so that the texture orientation inside the coding block can be evaluated efficiently. Moreover, we propose an adaptive selection strategy in this paper so that only a subset with a variable number of the intra-prediction modes will be sent for the rate-distortion optimization process. With the proposed gradient evaluation and adaptive selection strategy, a noticeable speedup on the run-time performance can be achieved with only a minor degradation on the visual quality and the bit-rate expense. When compared with the existing state-of-the-art fast decision algorithms, a significant improvement over prior arts on the proposed cost performance metric can be obtained, which demonstrates the superiority of the proposed approach.
[Ronald D. Laing's "Radical Trip". Reflection on the Relationship Between Psychiatry, Anti-Psychiatry, and Science in the 1960s]

Inspired by American research on the role of the family environment in the development of schizophrenia, the Scottish psychiatrist Ronald D. Laing, now known as the figurehead of British antipsychiatry, began his own research project with his colleague Aaron Esterson in the late 1950s. In the process, he became convinced that those diagnosed as "schizophrenic" were far more rational than bourgeois families alienated from themselves. Driven by this perspective, Laing pushed harder into the public arena and began to become politically active. This article analyzes Laing's development into an anti-psychiatrist and star of the counterculture in the course of the 1960s and asks about the reasons and conditions of possibility for this transformation from scientist to "scientific political activist".
MMSE-Directed Linear Image Interpolation Based on Nonlocal Geometric Similarity

In this letter, we propose a minimum mean square error (MMSE) directed linear interpolation to compose the highresolution image from a single low-resolution image. We build up our interpolation model by using some similar image patches selected according to the nonlocal geometric similarity. First, we use a two-stage search scheme to collect the matched patches inside the whole image. Second, a similarity scaling factor is used in the second search to refine the collected patches so as to help find a robust solution to the MMSE-directed interpolation. Third, our MMSE-directed interpolation is regularized by the involved reference patches to make the solved interpolation coefficients more reliable. Experimental results show that our proposed method outperforms the state-of-the-art MMSE-directed linear interpolation schemes andworks competitively with the state-of-the-art learningbased ones.
Central Saharan rock art: Considering the kettles and cupules

All the main Central Saharan mountainous massifs present rock art from various periods, stretching from prehistory until the recent historical era. The paintings and engravings have been documented, described, and classified into the chronological-stylistic groups. However, a special group of carvings called kettles and cupules have been given little or no attention in the rock art studies. Since these artificial formations are abundantly present in the Central Sahara their systematic study is needed. After a short presentation of the Saharan rock art groups, this paper examines kettles and cupules situated in the territory dominated by the earliest paintings called Round Heads, in the mountains of the Algerian Tassili, Algerian Tadrart and the Libyan Acacus. The results of the author's prolonged fieldwork are presented here, namely the quantity and distribution of kettles/cupules in the study area, their presumed relationship to the Round Head paintings, and their possible function. (C) 2017 Elsevier Ltd. All rights reserved.
Using a Measurement Model to Reconceptualize the Church Experiences of Black Men who have Sex with Men

Religious spaces have proven to be effective sites of health intervention among Black Americans. Less is known about how religious environments impact the health of subgroups of Black Americans, specifically Black men who have sex with men (MSM). Using data from the Promoting Our Worth, Equality, and Resilience study, we explored the factor structure of a 10-item religious environment scale among Black MSM (N = 2,482). Exploratory factor analysis revealed three distinct factors: (1) visibility of MSM, (2) structural support, and (3) structural homonegativity. The relationship between Black MSM and their religious environments is complex and should be investigated using measures that accurately reflect their lived experiences.
Real-time prediction of water level change using adaptive neuro-fuzzy inference system

Accurate water levels modelling and prediction is essential for maritime applications. Water prediction is traditionally developed using the least-squares- based harmonic analysis method based on water level change (WLC) measurements. If long water level measurements are not obtained from the tide gauge, accurate water levels prediction cannot be estimated. To overcome the above limitations, the wavelet neural network (WNN) has recently been developed for the WLC prediction from short water level measurements. However, a new adaptive neuro-fuzzy inference system (ANFIS) model is proposed and developed in this paper. The ANFIS model is utilized to predict and select the WLC models of one month of hourly WLC for Yarmouth, Sain-John and Charlottetown stations in Canadian waters and compared with the current-state-of-the-art WNN model. The statistical analysis is applied to analyse the performance of the developed model in training and testing stages. The results showed an accurate modelling level using ANFIS technique for each station in training and testing stage. A comparison between the developed ANFIS method and the current-state-of-the-art WNN method shows that the accuracy of the developed ANFIS model is superior to the current-state-of-the-art model by 21.5% in average.
Assessing sex differences in behavioural flexibility in an endangered bird species: the Southern ground-hornbill (Bucorvus leadbeateri)

Since ecology influences the expression of cognitive traits, intra-specific variation in ecological demands can drive differences in cognition. This is often the case, for instance, when sexes face different ecological challenges. However, so far, most studies have focused on few cognitive domains (i.e., spatial cognition), which limits our understanding of the evolution of sexually dimorphic cognition in animals. Endangered Southern ground-hornbills (Bucorvus leadbeateri), for example, show sex-specific ecological differences in age at dispersal, where females disperse from their natal group earlier than males. Based on this potential sex-specific source of selection, females and males may differ in their capacity to behave flexibly. Here, we used the reversal-learning paradigm in ten Southern ground-hornbills in two conditions: spatial and colour. During the pre-test (learning phase), regardless the sex, all subjects were faster at associating the food reward with spatial rather than with colour cues. Similarly, during the test (reversal-learning phase), both sexes learned the new association quicker with spatial cues. There were no sex differences in learning or reversal learning during both experimental phases. This possibility, however, requires further observation and experimentation. We hope our study will provide the impetus to assess further the cognitive capacities of this still overlooked species.
Phoneme Level Lyrics Alignment and Text-Informed Singing Voice Separation

The goal of singing voice separation is to recover the vocals signal from music mixtures. State-of-the-art performance is achieved by deep neural networks trained in a supervised fashion. Since training data are scarce and music signals are extremely diverse, it remains challenging to achieve high separation quality across various recording and mixing conditions as well as music styles. In this paper, we investigate to which extent the separation can be improved when lyrics transcripts are used as additional information. To this end, we propose a joint approach to phoneme level lyrics alignment and text-informed singing voice separation. It is based on DTW-attention, a new monotonic attention mechanism including a differentiable approximation of dynamic time warping. Experimental results show that the method can align phonemes with mixed singing voice with high precision given accurate transcripts. It also achieves competitive results on challenging word level alignment test sets using less training data than state-of-the-art methods. Sequential alignment and informed separation lead to improved separation quality according to objective measures. Text information helps preserving spectral phoneme properties in the separated voice signals.
Blueshifting the Absorption of a Small -Molecule Donor and Using it as the Third Component to Achieve High-Efficiency Ternary Organic Solar Cells

Adding a small-molecule donor (SMD) to state-of-the-art nonfullerene organic solar cells (OSCs) is demonstrated as a useful strategy to construct ternary organic solar cells, as SMDs typically have high crystallinity and can tune charge transport properties of OSCs. However, the absorption of most SMDs overlaps with typical donor polymers (e.g., PM6), which is against the general guidelines of adopting materials with complementary absorption in ternary OSCs. Herein, the absorption of state-of-art SMDs (BTR-CI) by linking the beta position of the outer thiophene to the alpha position of the inner thiophene unit is intentionally blueshifted. The resulting molecule beta-S1 shows a maximum absorption peak at 505 nm in the film state, which exhibits wider bandgap and shows complementary absorption with the host system (PM6:Y6). The corresponding ternary OSCs with 20%wt beta-S1 show significantly enhanced efficiency from 16.2% to 17.1% due to the increased short-circuit current (J(sc)) and improved fill factor (FF). Herein, an effective strategy to design SMDs with both wider bandgaps and higher crystallinity for high-performance ternary OSCs is presented.
Rock, pigments, and weathering. A preliminary assessment of the challenges and potential of physical and biochemical studies on rock art from southern Ethiopia

Over the past decade, physical and chemical analyses have been widely applied to the study of rock art contexts, particularly to examine the composition of rock art paintings and for direct radiometric dating. Different sampling and analytical methods have been applied to rock art from different parts of the world. However, in Africa these analyses are still at an embryonic stage. The results are often problematic in terms of reliability, mainly as concerns the chronology. This is due to a wide range of fossil and active biodegradation processes affecting rock surfaces and pigments; such processes are still widely underestimated. This paper aims to discuss the state of the art of the physical and chemical analyses undertaken on African rock art contexts, and the urgent need to establish protocols and best practices for sampling and analysis. The preliminary results of a new project in southern Ethiopia are presented here as an example of an integrated study of a rock art context, combining Archaeology and Earth Sciences. Preliminary field observations and SEM-EDS analyses, run on samples from two rock shelters in the Borana area, reveal the presence of a complex set of physical, chemical, and biological weathering processes with manifold effects on the rock art evidence.
A fuzzy rule based multimodal framework for face sketch-to-photo retrieval

Facial sketches are widely used by law enforcement agencies to assist in the identification and apprehension of suspects involved in criminal activities. Sketches used in forensic investigations are drawn by forensic artists following the verbal description provided by an eyewitness or the victim. In a forensic sketch, the facial description depends on the memory of the eyewitness, therefore, there is uncertainty in facial attributes. Most of the existing sketch-photo retrieval methods have ignored the uncertainty of facial attributes. In this paper, we have proposed a novel multimodal framework for sketch-photo retrieval. We have fused the facial attributes and the semantic color information using a fuzzy rule based layered classifier. We have also performed a survey to rank the importance of different facial attributes in the identification of a person. We have performed experiments using viewed, semi-forensic and forensic sketches dataset and results are compared with state-of-the-art methods. Experimental results show that the proposed fuzzy rule based method achieves promising performance as compared to state-of-art methods specifically in case of forensic sketches. (C) 2019 Elsevier Ltd. All rights reserved.
Implementation of a Novel TABGD-BBCO Controlling Mechanism Used in EV Systems

Solar energy-based Electric Vehicles (EVs) are becoming more popular in recent days due to their massive profits. The existing PV-based EV application systems comprise the major problems of increased computational complexity, reduced efficiency, incompetent speed control and high error rate. Thus, this research work intends to develop a novel controlling mechanism named Tuple Accelerated Batch Gradient Descent (TABGD) for enhancing the speed control of EVs with a high battery power support. The main contribution of this technique is to control the converter and inverter circuits by optimally tuning the parameters of the controlling mechanism. Also, it generates the switching control signal with regulated DC output and motor current. Moreover, an improved Batched Bee Colony Optimization (BBCO) algorithm is employed to provide optimal battery power support to the EV system. The experimental results validate the performance of the proposed mechanism and compare it with other state-of-the-art methods.
Human Islet Amyloid Polypeptide (hIAPP) Protofibril-Specific Antibodies for Detection and Treatment of Type 2 Diabetes

Type 2 diabetes mellitus (T2D) is a major public health concern and is characterized by sustained hyperglycemia due to insulin resistance and destruction of insulin-producing β cells. One pathological hallmark of T2D is the toxic accumulation of human islet amyloid polypeptide (hIAPP) aggregates. Monomeric hIAPP is a hormone normally co-secreted with insulin. However, increased levels of hIAPP in prediabetic and diabetic patients can lead to the formation of hIAPP protofibrils, which are toxic to β cells. Current therapies fail to address hIAPP aggregation and current screening modalities do not detect it. Using a stabilizing capping protein, monoclonal antibodies (mAbs) can be developed against a previously nonisolatable form of hIAPP protofibrils, which are protofibril specific and do not engage monomeric hIAPP. Shown here are two candidate mAbs that can detect hIAPP protofibrils in serum and hIAPP deposits in pancreatic islets in a mouse model of rapidly progressing T2D. Treatment of diabetic mice with the mAbs delays disease progression and dramatically increases overall survival. These results demonstrate the potential for using novel hIAPP protofibril-specific mAbs as a diagnostic screening tool for early detection of T2D, as well as therapeutically to preserve β cell function and target one of the underlying pathological mechanisms of T2D.
Transcriptome sequencing reveals the difference in the expression of biofilm and planktonic cells between two strains of Salmonella Typhimurium

Salmonela enterica serovar Typhimurium (S. Typhimurium) is a food-borne pathogen that can form biofilms to increase its resistance to the external environment. Through the detection of biofilm of several S. Typhimurium strains in this study, strain CDC3 with strong biofilm forming capacity and strain CVCC3384 with weak biofilm forming capacity were identified. The genes expressed in planktonic and biofilm cells of two S. Typhimurium strains were analysed by transcriptome sequencing. Results showed that the genes related to the signal transduction pathway were upregulated and genes related to motility were downregulated in strain CDC3. By comparing biofilms and planktonic cells of the two strains, we found that CDC3 regulates biofilm formation mainly through the two-component system kdpABC, while strain CVCC3384 does so mainly through motility and quorum sensing. This study revealed regulation mechanism of biofilms formation between different biofilm forming capacity strains, and provided a theoretical basis for subsequent research.
African trypanosome infection patterns in cattle in a farm setting in Southern Ghana

African Trypanosomiasis is a debilitating disease in both humans and animals that occurs in sub-Saharan Africa and has a severe negative impact on the livelihood of people in the affected areas. The disease is caused by protozoan parasites of the genus Trypanosoma, which is often described simply as blood-borne; however, a number of studies have shown the parasite inhabits many different environments within the host. Control of the disease involves measures that include the use of trypanocidal drugs to which there are growing number of reported cases of resistance. Here, the patterns of trypanosome DNA presence during a diminazene aceturate treatment round on a cohort of cattle in Adidome, Ghana were assessed. A group of 24 cows were selected irrespective of age and sex and the infecting trypanosome species followed for 18 days before and after treatment with diminazene aceturate in the blood and skin of the animals using a diagnostic nested PCR that targeted the alpha-beta tubulin gene array. Persistence of trypanosome DNA was observed over the period and parasite DNA was readily detected in both the skin and blood, with parasite DNA disappearing and reappearing in both across the study. Moreover, there was limited correlation between the parasite DNA detected in the skin and blood. Overall, the data show the patterns of a natural trypanosome infection during drug treatment. In addition, the diagnostic potential of sampling the skin for African trypanosomiasis is highlighted.