Miracle-dz/UniFAR-FTUs huggingface dataset:
Anti-oxidant MitoQ rescue of AWB chemosensory neuron impairment in a C. elegans model of X-linked Adrenoleukodystrophy

X-linked Adrenoleukodystrophy (X-ALD) is a neurometabolic disorder caused by a defective peroxisomal ABCD1 transporter of very long-chain fatty acids (VLCFAs). We have characterized a nematode model of X-ALD with loss of the pmp-4 gene, the worm orthologue of ABCD1. These mutants recapitulated the key hallmarks of X-ALD and importantly mitochondria targeted antioxidant MitoQ prevented axonal degeneration and locomotor disability. In this study, we further demonstrated that the AWB chemosensory neuron of the pmp-4 mutant worm is defective, both in morphology and function. Interestingly, MitoQ could rescue both the phenotypes. Collectively, our results suggest that C. elegans’ chemosensation might provide a novel setting for exploring peroxisomal disease related disorders.
Prevalence and Associated Factors of Anemia among Lactating Women in Ethiopia from 2010 to 2020: A Systematic Review and Meta-Analysis

Background: Anemia is one of the major nutritional public health problems in developing countries. This systematic review and meta-analysis aimed to indicate the magnitude and determinants of anemia among lactating women in Ethiopia. Objective: The study aimed to synthesize the existing literature on the prevalence and determinants of anemia among lactating women in Ethiopia, 2010 to 2020. Methods: Studies searched through the search engine of Google Scholar, Hinari, MEDLINE/ PubMed, Cochrane Library, and Africa Wide Information. Searching was made using Keywords/ MeSH terms of anemia, low hemoglobin, postpartum, lactating women and Ethiopia. Data were analyzed and compared with the WHO criteria to declare a public health problem. Heterogeneity was assessed using Cochran Q test and I2 statistics. A random-effects model with a 95% confidence interval was used for prevalence and odds ratio estimations. Results: Eleven studies were included in this systematic review and meta-analysis. The overall prevalence of anemia among lactating women in Ethiopia was 28.9% (95% CI: 22.7%-35.1%). It was a severe public health problem in the Somali (58.7%) and the Afar (44.9%) regions, a mild problem in Addis Ababa (11.6%) and a moderate health problem in there maining 8 regions ranged from 20.9% in Tigray to 35.9% in Dire Dawa. Lactating women who lacked formal education (OR=1.7; 95%CI: 1.1, 2.5), rural residents (OR=1.7; 95%CI: 1.4, 1.9), higher parity (OR=1.3; 95% CI: 1.1, 1.4), lower antenatal care visits (OR=1.6; 95%CI: 1.2, 2.3), lacked family planning utilization (OR=1.5;95%CI: 1.4,1.7), underweight (OR=1.3;95% CI: 1.1, 1.6), lower dietary diversity (OR=1.9; 95% CI: 1.5, 2.5), food insecurity (OR= 3.0; 95% CI: 1.5, 6.2) and malaria infection (OR=3.7; 95%CI: 2.8,4.9) were factors associated with higher odds of developing anemia. Moreover, taking iron supplementation (OR=0.55; 95% CI: 0.49, 0.63), being employed women (OR= 0.73; 95% CI: 0.66, 0.80) and rich wealth quintile (OR= 0.79; 95% CI: 0.68, 0.91) were significantly associated with lower risk of anemia. Conclusions: Anemia among lactating women is still a moderate public health problem in Ethiopia and a severe health problem in Somali and Afar regions. Hence; the government needs to develop integrated multi-sectoral policies and strategies to address the significant variations a cross regions attributed to various interrelated factors like poor socio-economic status, lower maternal health services utilization, inadequate dietary diversity, and food insecurity in order to reduce anemia among lactating women in Ethiopia.
EFFICIENT MUTUAL USER AUTHENTICATION PROTOCOL TO SHARE FILES USING ID IN CLOUD STORAGE

Transpiring trends inq the world nowadays is cloud computing as a predominant interactive archetype for data to ensure user’s data in an online cloud server which is stored remotely. A cloud service provides tremendous conveniences to the users to relish the on-demand cloud applications without any limitations considered in the local infrastructure. In the process of data accessing, different users may be in a collaborative relationship, and thus data sharing becomes significant to achieve productive benefits. In recent days, with the adaptation of cloud services, many users are involved in it. But they are afraid about cloud environment due to security in cloud. In this paper, we proposed a Mutual User Authentication Protocol (MUAP) in which the users can safely share their data in a suspicious cloud servers. This MUAP provides assurance on data over user security and focussed mainly on data sharing among the users by an encrypted way. The data is encrypted and shared on public or private cloud servers due to that the manipulation of information is prohibited to the server. Users can easily spot the particular files from the cloud storage but the server cannot realize the identity of the user which leads that users can connect themselves to the cloud without endanger their privacy. Identity Issuer will keep user’s privacy safely. The protocol encrypts all information to get rid of MITM attack. Mutual Authentication is achieved by two level encryption using ID. This protocol deals with individual activities and communications when the legacy protocols deals with group activities. When compared to other protocols the proposed system has higher security with minimal computational and communicational overheads.
Structural information on proteins obtainable from small‐angle X‐ray scattering with heavy‐atom labeling. Application to solubilized bacteriorhodopsin

The heavy-atom labeling method is applied to small-angle X-ray scattering (SAXS) based on contrast variation in order to derive information on the inner structure of proteins. The formulation of the contrast variation is extended to express explicitly the contribution of the bound heavy atoms to SAXS. The present method reveals two important features concerning bound heavy atoms, namely their number and their distribution. The application of this method to solubilized bacteriorhodopsin (bR) with iodination revealed the following characteristics of structure. The number of bound iodine atoms is 20, indicating that the solubilized bR is composed of a trimer of bR molecules. The mean square distance between the iodine position and the center of the trimer is about 1660 A2, indicating that the most active tyrosine residues are located near the outer rim of a bR trimer. The distribution of iodine atoms is symmetric about the center.
8.3.3.2 Answer to the European Commission on: Ways to improve selectivity in Baltic cod fisheries for which cod is recognised as target species

An important parameter for the exploitation of fish stocks is the selectivity of fishing gears and its effect on fish population. During the past years, two basic approaches to improve the selectivity of trawls in Baltic cod trawl fisheries were developed and successfully tested. Both are cod end modifications. First, the Bacoma window is a panel of square meshed net, which is included in the cod end. The second approach is the use of net material for the entire cod end, which is turned by 90° compared to the typical configuration (as also used for Bacoma cod ends). Therefore, this configuration is called T90 (turned 90°). Numerous studies have been conducted to investigate the selectivity of trawls in the Baltic Sea. The European Commission presented a report on selectivity for trawl fisheries for cod in the Baltic to Council in January 2009. The main conclusion of the report is that there are no data to support big differences in selectivity between the two gears Bacoma and T90. Several member states have requested the Commission to continue assessing new ways to increase selectivity in the Baltic cod fisheries, to reduce current levels of discards, such as an increase in mesh sizes. The Commission believes there is scope for increased selectivity in the fishery and wishes to consider approaches to achieve this goal including alternative ways other than simple mesh size increase.
NodeFetch: High Performance Graph Processing using Processing in Memory

Background and Objectives: Graph processing is increasingly gaining attention during era of big data. However, graph processing applications are highly memory intensive due to nature of graphs. Processing-in-memory (PIM) is an old idea which revisited recently with the advent of technology specifically the ability to manufacture 3D stacked chipsets. PIM puts forward to enrich memory units with computational capabilities to reduce the cost of data movement between processor and memory system. This approach seems to be a way of dealing with large-scale graph processing, considering recent advances in the field. Methods: This paper explores real-world PIM technology to improve graph processing efficiency by reducing irregular access patterns and improving temporal locality using HMC. We propose NodeFetch, a new method to access nodes and their neighbors while processing a graph by adding a new command to HMC system. Results: Results of our simulation on a set of real-world graphs point out that the proposed idea can achieve 3.3x speed up in average and 69% reduction of energy consumption over the baseline PIM architecture which is HMC. Conclusion: Most of the techniques in the field of processing-in-memory, hire methods to reduce movement of data between processor and memory. This paper proposes a method to reduce graph processing execution time and energy consumption by reducing cache misses while processing a graph. ======================================================================================================Copyrights©2021 The author(s). This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, as long as the original authors and source are cited. No permission is required from the authors or the publishers. ======================================================================================================
One-shot Architecture Search with Cascade Network for Facial Emotion Recognition

The facial expression recognition task has been investigated for many years. However, classify the facial expression ‘in the wild’ still a tough task among image classification tasks. Most previous research on it tends to design a better network architecture that more suitable for this specific task. This paper will introduce a high efficiencies algorithm that could automatically decide the network architecture during the training stage. It is based on the cascade network and using the gradient-based architecture search method to design the network architecture. The automatically designed network improves the average test accuracy on SFEW around 20% compared to standard CNN with random search. Also, the searched network could achieve a comparable result with previous researches on the SFEW dataset.
The slo-1 BK potassium channel interacts genetically with pmr-1 secretory pathway calcium ATPase during C. elegans embryonic cell migration

Table 1. kez8 is a maternal-effect suppressor of pmr-1(ru5ts) lethality and an allele of slo-1: *samples that do not share a letter are significantly different. One-way ANOVA with Tukey comparison p<0.01 (Minitab). ** Chi square analysis of F2 from the cross showed expected ratios for each genotype, with individuals producing viable progeny at frequencies similar to both parental and heterozygous genotypes; p>0.05.
High resolution stochastic downscaling method for ocean
forecasting models and its application to the Red Sea dynamics

Abstract. High-resolution modelling of a large ocean domain requires significant computational resources. The main purpose of this study is to develop an efficient tool for downscaling the lower resolution data such as available from Copernicus Marine Environment Monitoring Service (CMEMS). Common methods of downscaling CMEMS ocean models utilize their lower resolution output as boundary conditions for local, higher resolution hydrodynamic ocean models. Such methods reveal greater details of spatial distribution of ocean variables; however, they increase the cost of computations, and often reduce the model skill due to the so called double penalty effect. This effect is a common problem for many high-resolution models where predicted features are displaced in space or time. This paper presents a Stochastic Deterministic Downscaling (SDD) method, which is an efficient tool for downscaling of ocean models based on the combination of deterministic and stochastic approaches. The ability of the SDD method is first demonstrated in an idealised case when the true solution is known a priori. Then the method is applied to create an operational eddy-resolving Stochastic Model of the Red Sea (SMORS) with the parent model being the eddy-permitting Mercator Global Ocean Analysis and Forecast System. The stochastic component is data-driven rather than equation-driven and applied to the areas smaller than the Rossby radius, where distributions of ocean variables are more coherent. The method, based on objective analysis, is similar to what is used for data assimilation in ocean models, and stems from the philosophy of 2D turbulence. The SMORS model produces higher resolution (1/24th degree latitude mesh) oceanographic data using the output from a coarser resolution (1/12th degree mesh) parent model available from CMEMS. The values on the high-resolution mesh are computed under condition of minimisation of the cost function which represents the error between the model and true solution. The SMORS model has been validated against Sea Surface Temperature and ARGO floats observations. Comparisons show that the model and observations are in good agreement and SMORS is not subject to the ‘double penalty’ effect. SMORS is very fast to run on a typical desktop PC and can be relocated to another area of the ocean.
J.C. Mordi: Biochemical Assessment of Selenium and Vitamin E Co-Administration on Malathion Subacute Toxicity on Male Wistar Rats

The need to alleviate hunger globally has deliberately introduced the use of pesticides such as organophosphates (Ops), which are highly and widely adopted, agriculturally. This study was delineated to evaluate coadministration of selenium and α-tocopherol on malathion induced toxicity. Twenty-five (25) male Wistar rats (weighing between 220g 250g) were sub-divided into 5 groups of 5 rats each. Group I (control) received 0.5 ml of Carboxyl Methyl Cellulose (CMC) as placebo once daily for 30 days. Once daily and for 30days, rats in Group II, III, IV and V were exposed orally to1/50 of LD50 value (27 mg/kg b.wt) malathion dissolved in 0.5 ml CMC. With the exception of Group II which got toxicant alone, Groups III and IV were treated with selenium as sodium selenite (Na2SeO4) (0.1 mg Se/kg b. wt.) and α-tocopherol (100 mg αtocopherol/kg b.wt.) respectively, while in the same manner and same duration rats in Group V were cotreated with selenium (0.1 mg Se/kg b. wt.) and α-tocopherol (100 mg α-tocopherol/kg b.wt.). Body weight change as decreased by malathion exposure was significantly improved upon selenium and α-tocopherol administration. Nevertheless, cotreatment with selenium and αtocopherol administration further increased weight reduction by the toxicant than other groups. Malathion caused a significant (p<0.05) increase in serum ALT, ALP, AST when compared with control. This elevation indicated a remarkable decrease upon coadministration with selenium and α-tocopherol and was supported by histological examination. Interestingly, the effect of selenium or α-tocopherol on lipid profile showed no significant (p>0.05) difference as against the toxicant J.C. Mordi: Biochemical Assessment of Selenium and Vitamin E Co-Administration on Malathion Subacute Toxicity on Male Wistar Rats http://www.unn. edu.ng/nigerian-research-journal-of-chemical-sciences/ 54 group, yet cotreatment of selenium and α-tocopherol revealed significantly (p<0.05) a decreased LDL, TAG, Total cholesterol with an elevated HDL. Conclusively this study demonstrated that coadministration of selenium with α-tocopherol was able to attenuate the induced toxicity as generated by malathion pesticide most effectively than selenium and α-tocopherol alone.
A TID Tolerant , Wide Band and Low Jitter Phase-Locked Loop in 0 . 25 m CMOS Silicon-on-Sapphire Technology P

Phase-locked loops (PLLs) are widely used in many applications as frequency generators or part of clock data recovery circuits. Although there has been much research on radiation-tolerant PLL designs [1-8], most of the designs employ either ring configured voltage-controlled-oscillator (VCO) which has rather high phase noise, or inductor-capacitor (LC) based VCO which exhibits low phase noise but a very narrow bandwidth. In addition, there remains no report on the comparison of the radiation tolerance between these two PLL architectures. In this paper, we describe the design, analysis and measurement results of a TID tolerant, wide band, and low jitter LC-tank based PLL (LCPLL) using 0.25 m Silicon-on-Sapphire (SOS) CMOS technology (UltraCMOS®). A cross-coupled oscillator architecture is employed to achieve a very wide frequency range of 1.2 GHz with a central frequency of 3 GHz. For comparison purposes, we also designed a self-biased, ring oscillator based PLL [9] in the same technology. Both circuits were irradiated with a total dose of 100 Krad (Si) and the PLL characteristics such as operating frequency range and jitter were measured before and after irradiation. The comparison of the measurement results between the two designs shows that the wide band LCPLL is much more tolerant to TID effects compared to the self-biased ring oscillator based PLL.
Assessing readiness for change in the Helmet use: a motivational interview

Introduction Iran faces road safety challenges. The country has a high rate of road traffic deaths, with 32.30 deaths per 100 000 population per year according to the World Health Organization (WHO) estimate in 2018. About 6000 traffic accidents occur annually in the country; killing 43 people daily. Motorcyclists mortality accounted for 21.8% of total traffic accidents (1,2). Most motorcycle fatalities occur on suburban roads that account for 44.5% of the total mortality. Subsequently, 38.5% died in urban areas, 10.8% in rural areas, 1.2% in private roads, and 5.2% in other areas. Statistics show that the most common cause of death for motorcyclists is injuries to the head that was responsible for 51.6% of deaths. Based on evidence, 54.6% of motorcycle fatalities were among people aged between 18 and 39 years. A significant percentage of motorcycle crashes happen among teenagers and adolescents (24). This can be due to many factors such as type of the vehicle, easier procurement, the excitement of using it, age condition, non-compliance with laws and regulations, risky driving, non-use of helmet, and having more passengers than allowed capacity. In this regard, the best action to prevent the mortality is the use of helmet. Although a large proportion of accidents are directly related to the attitude and behavior of individuals, the literature shows that despite the importance of this issue, there are ample studies using theories and models of behavior change to investigate risk taking behaviors. (5-11). It seems that the application of behavioral science to injury prevention has lingered behind other approaches in the history of injury prevention efforts. Without a theory-driven approach, many of these interventions failed or attained limited success (8,9). The failure to use health behavior theories to understand behavioral health factors and to develop effective interventions may be a core factor behind the limited success of injury prevention efforts to change behaviors. Health behavior theories offer important insights into behavioral change, and are most applicable at different levels of risk taking behaviors. Specifically, the intrapersonal level of influence focuses on the impact Original Article Volume 7, Issue 1, 2021, p. 41-45
ULTRASTRUCTURAL AND IMMUNOHISTOCHEMICAL ALTERATIONS IN HEMOCYTES AND FAT BODY OF THE FLESH FLY (SARCOPHAGA ARGYROSTOMA) LARVAE UPON CANCER CELL LINE INOCULATION

In this study, hemocytes and fat body changes were investigated after activation the immuneresponse of the third instar larvae of Sarcophaga argyrostoma by injecting the larvaewith MDA-MB-231cancer cell lines. To investigate the changes in hemolymph and fat bodytissue, light and transmission electron microscopy (TEM) were used. Apoptosis demonstrationin the larval flesh fly after injection was immunohistochemically tracked using a markerof caspase initiator activity; namely caspase-3 antibody.The results showed remarkable changesin morphology, viability and the spreading ability of immunocompetent hemocytes andfat body cells between normal and immunized S. argyrostoma larvae. In hemocytes, multicellularaggregates were formed to entrap invading cancer cells, in addition to membrane blebbing,cytoplasm vacuolization, cell and organelle swelling, and chromatin condensation.Meanwhile, in fat body cells of injected larvae, depletion of lipid droplets, changes in the appearanceof protein granules and degrade of basement membrane overlying the fat body wereobserved. These features are typical for apoptotic and autophagal cell death which were confirmedby detection of apoptotic fat body cells after cancer cell injection using activatedcaspase-3 immunostaining.
Story Authoring in Augmented Reality

Most content creation applications currently in use are conventional PC tools with visualisation on a 2D screen and indirect interaction, e.g. through mouse and keyboard. Augmented Reality (AR) is a medium that can provide actual 3D visualisation and more hands-on interaction for these purposes. This paper explores how AR can be used for story authoring, a peculiar type of content creation, and investigates how both types of existing AR interfaces, tangible and touch-less, can be combined in a useful way in that context. The Story ARtist application was developed to evaluate the designed interactions and AR visualisation for story authoring. It features a tabletop environment to dynamically visualise the story authoring elements, augmented by the 3D space that AR provides. Story authoring is kept simple, with a plot point structure focused on core story elements like actions, characters and objects. A user study was done with the concept application to evaluate the integration of AR interaction and visualisation for story authoring. The results indicate that an AR interface combining tangible and touch-less interactions is feasible and advantageous, and show that AR has considerable potential for story authoring.