Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of the Existing Food Safety Management System (FSMS) Implemented in Sudanese Sugar industries

The present study was conducted in all Sudanese Sugar industries; namely; (Kenana, White Nile, Assalaya, Sennar, Guneid and New Halfa) during production season at 2017. The study aimed to evaluate the existence of food safety Management System implemented by all Sudanese sugar industries with reference to the Food Safety Management System (FSMS) of the International Standard Organization (ISO 22000). The data were collected using ISO 22000 checklist and direct interviews. Likert Five-Point Scale was used in scoring the checklist statement and the arithmetic mean was obtained. The results of the study revealed that the general requirement of the Food Safety Management System was not applicable; score less than (1.8 points) whereas its documentation that supports food safety programs scored major deficiencies in five industries less than 3.4 points. Secondly, the requirement of management responsibility attained non-compliance in three industries. Thirdly, the Requirement of Resource Management in all Sudanese sugar industries had major deficiencies except one factory scored minor deficiency less than 4.2 points. Fourthly, Planning and realization of safe products requirement was non-compliance in three factories less than 2.6 points and not applicable in the rest factories. Finally, the requirement of validation, verification and improvement of food safety programs was not applicable in all Sudanese Sugar Industries where it recorded less than 1.8 points. Lack of top management commitment and involvement and lack of government support represent the main constraints and barriers to implementing food safety systems in Sudanese sugar companies. Sudanese sugar industries need to implement food safety systems like GMP (Good Manufacturing Practices) and HACCP (Hazard Analysis Critical Control Point System) that represent the minimum requirement to implement Food Safety Management System.
Plant Invasion by Chromolaena Odorata Alters Soil Microbiome and Provides Insight Into the Role of the Fcb Group of Bacteria.

Purpose Plant invasion provides an excellent working model for understanding the effects of soil microbial communities associated with natural plant populations. In this study, we investigated the diversity and abundance of soil microbial communities of Chromolaena odorata, one of the most invasive weeds, and Tridax procumbent, a native plant in the same family. Methods Elemental analysis of carbon, hydrogen and nitrogen in soil samples was performed using a CHN analyzer. Meta-genome analyses were performed using Oxford Nanopore sequencing. The data assembly, analysis, and classifications of all functional categories were performed using the SqueezeMeta v1.0. 0 Pipeline.ResultsThere is an increase in pH along with an increase in C, H, and N in the soil of the invasive plant C. odorata. Copiotrophic microbiome along with the gene families responsible for transport, metabolism of carbohydrates and cellular processes are more abundant in C. odorata soil. In contrast, oligotrophic microbial communities along with gene families involved in energy production and cellular maintenance are more abundant in the T. procumbens soil.ConclusionOur studies show the association of plant invasion with an increase in nutrient cycling and foster the development of copiotrophic organisms, including Bacteroides. This is associated with an increase in carbohydrate metabolism and substrate utilization, as well as activation of pathways for stress adaptation and resistance.
Effect of foliar application of nitrogen-phosphorus-potassium fertilizers on nutrient uptake and protein content of maize

The effect of foliar application of nitrogen-phosphorus-potassium (NPK) fertilizers on nutritional status and yield of maize ( Zea mays L.) were investigated through a study conducted in a zonal agricultural research station of University of Agricultural Sciences, GKVK Bengaluru (India). The experiment was laid out in randomized complete block design. The treatments consisted of two levels of soil application (75 and 100%) of recommended dose of fertilizer (RDF) and foliar applications of NPK (19:19:19). The fertilizers were applied at 6-leaf, tasselling, knee height and tasseling growth stages. Nutrient uptake, protein content and available soil nutrients at harvest were analyzed. Results indicated that soil application of 100% RDF along with foliar sprays of NPK at knee height and tasselling stages significantly produced the highest levels of N, P and K uptake (306.60, 100.57 and 216.24 kg ha -1 , respectively) and maximum protein content (11.5%). Use of this fertilizer treatment also resulted into highest available soil N (273.74 kg ha -1 ), P (59.45 kg ha -1 ) and K (204.88 kg ha -1 ). The combined soil application of 100% RDF and foliar application of NPK at knee height and tasseling stages has potential to increase nutrient supply and protein content of the maize crop.
Green-Synthesized Silver Nanoparticle–Assisted Radiofrequency Ablation for Improved Thermal Treatment Distribution

Thermal ablation therapy is known as an advantageous alternative to surgery allowing the treatment of multiple tumors located in hard-to-reach locations or treating patients with medical conditions that are not compatible with surgery. Appropriate heat propagation and precise control over the heat propagation is considered a weak point of thermal ablation therapy. In this work, silver nanoparticles (AgNPs) are used to improve the heat propagation properties during the thermal ablation procedure. Green-synthesized silver nanoparticles offer several attractive features, such as excellent thermal conductivity, biocompatibility, and antimicrobial activity. A distributed multiplexed fiber optic sensing system is used to monitor precisely the temperature change during nanoparticle-assisted radiofrequency ablation. An array of six MgO-based nanoparticles doped optical fibers spliced to single-mode fibers allowed us to obtain the two-dimensional thermal maps in a real time employing optical backscattering reflectometry at 2 mm resolution and 120 sensing points. The silver nanoparticles at 5, 10, and 20 mg/mL were employed to investigate their heating effects at several positions on the tissue regarding the active electrode. In addition, the pristine tissue and tissue treated with agarose solution were also tested for reference purposes. The results demonstrated that silver nanoparticles could increase the temperature during thermal therapies by propagating the heat. The highest temperature increase was obtained for 5 mg/mL silver nanoparticles introduced to the area close to the electrode with a 102% increase of the ablated area compared to the pristine tissue.
A Methodology for the Classification and Characterisation of Industrial Demand-Side Integration Measures

In the context of the ongoing climate change and increasingly strict climate goals of the European Green Deal, industry faces a growing challenge to decrease its high demand for electrical energy and its greenhouse gas emissions. Demand-Side Integration measures have a great potential to reduce the greenhouse gas emissions of the industrial sector. However, there is still no definition and consistent characterising terms for Industrial Demand-Side Integration. The lack of clarity in concepts and definitions may impose hurdles in the transfer of results and methodologies from research activities and thus, in the implementation of measures in the industry. Furthermore, the economic value of implementing these measures is often unclear but of high relevance to industrial consumers. This paper proposes a comprehensive Industrial Demand-Side Integration definition and a methodology to classify and characterise its measures. The methodology is aimed at helping industrial consumers decide which measures can be implemented in their specific setting and how these measures can be monetised. The methodology is validated by applying it to eight relevant use cases in the ETA Research Factory.
Structure Sensitivity Analysis and Optimized Design of a Certain White Bodywork

Develops a finite element model to analyze the dynamic/static sensitivities of a certain white bodywork,i.e.,the sensitivities of its natural frequency,torsional stiffness and flexural rigidity and mass to the thickness of sheet to make the bodywork,thus finding out the main parts affecting greatly the dynamic and static characteristics of bodywork to optimize its structural design.According to the sizes of contribution the body mass will make to the natural frequency and torsional stiffness and flexural rigidity,an optimal conceptual design is given.This method provides an important reference for improving the dynamic performance of bodywork,lightening its weight and optimizing its design.
The Partial Least Squares Spline Model for Public Health Surveillance Data

Factor discovery of public health surveillance data is a crucial problem and extremely challenging from a scientific viewpoint with enormous applications in research studies. In this study, the main focus is to introduce the improved survival regression technique in the presence of multicollinearity, and hence, the partial least squares spline modeling approach is proposed. The proposed method is compared with the benchmark partial least squares Cox regression model in terms of accuracy based on the Akaike information criterion. Further, the optimal model is practiced on a real data set of infant mortality obtained from the Pakistan Demographic and Health Survey. This model is implemented to assess the significant risk factors of infant mortality. The recommended features contain key information about infant survival and could be useful in public health surveillance-related research.
Use of CRISPR/Cas9-Based Gene Editing to Simultaneously Mutate Multiple Homologous Genes Required for Pollen Development and Male Fertility in Maize

Male sterility represents an important trait for hybrid breeding and seed production in crops. Although the genes required for male fertility have been widely studied and characterized in many plant species, most of them are single genic male-sterility (GMS) genes. To investigate the role of multiple homologous genes in anther and pollen developments of maize, we established the CRISPR/Cas9-based gene editing method to simultaneously mutate the homologs in several putative GMS gene families. By using the integrated strategies of multi-gene editing vectors, maize genetic transformation, mutation-site analysis of T0 and F1 plants, and genotyping and phenotyping of F2 progenies, we further confirmed gene functions of every member in ZmTGA9-1/-2/-3 family, and identified the functions of ZmDFR1, ZmDFR2, ZmACOS5-1, and ZmACOS5-2 in controlling maize male fertility. Single and double homozygous gene mutants of ZmTGA9-1/-2/-3 did not affect anther and pollen development, while triple homozygous gene mutant resulted in complete male sterility. Two single-gene mutants of ZmDFR1/2 displayed partial male sterility, but the double-gene mutant showed complete male sterility. Additionally, only the ZmACOS5-2 single gene was required for anther and pollen development, while ZmACOS5-1 had no effect on male fertility. Our results show that the CRISPR/Cas9 gene editing system is a highly efficient and convenient tool for identifying multiple homologous GMS genes. These findings enrich GMS genes and mutant resources for breeding of maize GMS lines and promote deep understanding of the gene family underlying pollen development and male fertility in maize.
AI Implementation Science for Social Issues: Pitfalls and Tips

The social implementation of knowledge and technologies that are effective in epidemiological and observational studies is essential for solving social issues. In particular, there have been few attempts to implement clinical practices and information communication technologies that utilize data in the field. We describe the four stages of social implementation: 1) redefining social issues as solvable problems, 2) finding technological solutions to solvable problems, 3) social implementation contributing to the solutions, and 4) horizontal deployment of effective methods for solving social issues. Introducing a use case of artificial intelligence (AI) social implementation in child-abuse response conducted by our team, we discuss pitfalls and tips as a frame of reference to demonstrate data utilization as social infrastructure for solving social issues and to consider practical solutions in a logical manner.
Functional inferences of mating orientations through body fat and sex-typical body features

Identifying reproductive opportunities and intrasexual rivals has necessitated the evolution of sensitivity to features diagnostic of mate value. In determining the presence of good genes through physical features, individuals may additionally infer targets’ short- and long-term mating orientations. This study tested how individuals perceive men’s and women’s orientations through physical features conducive to reproductive goals. Participants evaluated mating orientations of male and female targets varying in size of sex-typical features (i.e., muscles or breasts) and adiposity. Greater adiposity connoted long-term mating orientations. Large muscles and breasts connoted short-term mating orientations. We frame results from an affordance management framework with respect to inferences regarding parental investment and intrasexual competition.
6σ Design for Pressurized Cylindrical Shells Based on RBF

To obtain a reliable pressure hull structure,the 6σ design was introduced into the optimization of pressure hull.The influences of the uncertainty of material and dimension error when processing were fully taken into consideration.Based on the MDO platform iSIGHT,a reliable optimal plan involving 6σ was obtained.In order to reduce the calculation expense,a sufficiently accurate RBF model was used to replace the simulation program ANSYS when iterating,which not only ensured the accuracy but also saves the calculating cost.
Good intentions with adverse outcomes when conservation and pest management guidelines are ignored: A case study in rabbit biocontrol

To mitigate the negative impacts of invasive rabbits in Australia, land managers are permitted to release the biocontrol virus, rabbit hemorrhagic disease virus (RHDV), to reduce rabbit numbers. However, it is strongly recommended that RHDV is not released when young rabbits are present in the population as infection in this cohort is sublethal and induces life‐long virus immunity. The recruitment of these rabbits into the breeding population may make the population harder to control in future, potentially leading to increasing rather than decreased population size. To investigate whether the recommended release guidelines are followed, we obtained data on the supply and release of RHDV by land managers. We then used generalized additive models to investigate Australia‐wide and state‐specific annual and long‐term temporal trends in the supply and release of RHDV. Half of all RHDV supply (47%) and three quarters of reported releases (74%) Australia‐wide occurred during the anticipated major rabbit breeding seasons and when the risk of immunizing young rabbits is greatest. We found evidence of both RHDV supply and release during the anticipated major rabbit breeding seasons in almost all states for which data existed. RHDV supply increased with below average annual rainfall. This may indicate a tendency for land managers to notice, and want to control, rabbits and their impacts more following drier years when both rabbits and their impacts are potentially more damaging. Our study raises concerns regarding the inappropriate release of RHDV by land managers and whether its supply should be restricted to ensure ongoing and effective management of invasive rabbits. More broadly, our study serves as a warning to other conservation and pest management activities reliant on land managers or citizens following implementation guidelines. In some cases, good intentions may have adverse outcomes.
Civil Society’s Role in Indonesia’s Humanitarian Diplomacy: Study of Indonesian Religious Organizations' Humanitarian Aid in the Crisis in Myanmar's Rakhine State Region (2012- 2018)

Civil Society is considered as the third space outside the state and market where people can express their opinions and make certain contributions to create a condition in accordance with the certain values they profess. As the time progresses, with the development of information and globalization, the demand for bigger civic space is undeniable and the need for society to be able to contribute to an issue that occurs outside the border of their country is arising. This encourages the role of civil society to contribute to humanitarian diplomacy efforts where the role of the community and non-state actors is needed in solving transnational problems. This issue is exemplified by the role of various religious organizations in Indonesia through their contribution in helping to solve humanitarian problems in Rakhine State, of Myanmar between 2012 to 2018. Through a humanitarian diplomacy approach, these various religious organizations collaborated with the Indonesian government to send various types of assistance. This paper will explain why the role of religious organizations in Indonesia as the representation of civil society is significant in the humanitarian diplomacy effort of the Rakhine State Crisis. This paper will also provide a descriptive narrative related to how these contributions are channelled and delivered to the conflict-affected communities in Myanmar.
Gain improvement of THz antenna using semicircular slot and modified ground plane

In this paper, gain improvement and impedance matching of THz patch antenna by using semicircular slot and modified ground plane are discussed. The proposed antenna consists of a simple rectangular patch configuration. The novelty of the proposed antenna is its semicircular slot, and modified ground structures are used to enhance the gain and impedance matching of the proposed antenna. Design evolution along with parametric studies is also offered in this paper along with the return loss comparisons. Surface current distributions that are presented for the validation of proposed antenna's operation are controlled by the slots. The effect of slots on performance of the proposed antenna is also offered in this paper. The proposed antenna is designed and simulated on CST software. The proposed antenna occupies a compact area of 100 × 150 × 10 μm3, which in terms of wavelength can be given by 0.33 λ0× 0.5 λ0× 0.03 λ0, where λ0 is the free space wavelength at 1 THz. The proposed antenna has a resonant frequency of 1 THz with a realized peak gain of 8.87 dBi and efficiency of 87%, respectively. The proposed antenna can be a suitable candidate for 1‐THz applications.
Novel Series of Dual NRF2 Inducers and Selective MAO-B Inhibitors for the Treatment of Parkinson’s Disease

Parkinson’s disease (PD) is the second most prevalent neurodegenerative disease. It is characterized by a complex network of physiopathological events where oxidative stress plays a central role among other factors such as neuroinflammation and protein homeostasis. Nuclear factor-erythroid 2 p45-related factor 2 (NRF2) has a multitarget profile itself as it controls a plethora of cellular processes involved in the progression of the disease. In this line, we designed a novel family of 2-(1H-indol-3-yl)ethan-1-amine derivatives as NRF2 inducers with complementary activities. Novel compounds are based on melatonin scaffold and include, among other properties, selective monoamine oxidase B (MAO-B) inhibition activity. Novel multitarget compounds exhibited NRF2 induction activity and MAO-B selective inhibition, combined with anti-inflammatory, antioxidant, and blood–brain barrier permeation properties. Furthermore, they exert neuroprotective properties against oxidative stress toxicity in PD-related in vitro. Hit compound 14 reduced oxidative stress markers and exerted neuroprotection in rat striatal slices exposed to 6-hydroxydopamine or rotenone. In conclusion, we developed a promising family of dual NRF2 inducers and selective MAO-B inhibitors that could serve as a novel therapeutic strategy for PD treatment.
A Comprehensive Review of Internet of Things: Technology Stack, Middlewares, and Fog/Edge Computing Interface

The Internet of Things (IoT) is an extensive network of heterogeneous devices that provides an array of innovative applications and services. IoT networks enable the integration of data and services to seamlessly interconnect the cyber and physical systems. However, the heterogeneity of devices, underlying technologies and lack of standardization pose critical challenges in this domain. On account of these challenges, this research article aims to provide a comprehensive overview of the enabling technologies and standards that build up the IoT technology stack. First, a layered architecture approach is presented where the state-of-the-art research and open challenges are discussed at every layer. Next, this research article focuses on the role of middleware platforms in IoT application development and integration. Furthermore, this article addresses the open challenges and provides comprehensive steps towards IoT stack optimization. Finally, the interfacing of Fog/Edge Networks to IoT technology stack is thoroughly investigated by discussing the current research and open challenges in this domain. The main scope of this study is to provide a comprehensive review into IoT technology (the horizontal fabric), the associated middleware and networks required to build future proof applications (the vertical markets).
Motor Ability Evaluation of the Upper Extremity with Point-To-Point Training Movement Based on End-Effector Robot-Assisted Training System

Assessment is critical during the procedure of stroke rehabilitation. However, traditional assessment methods are time-consuming, laborious, and dependent on the skillfulness of the therapist. Moreover, they cannot distinguish whether the improvement comes from the abnormal compensation or the improvement of upper extremity motor function. To make up for the shortcomings of the traditional methods, this study proposes a novel assessment system, which consisted of a rehabilitation robot and motion capture (MoCAP) system. A 9-degree-of-freedom (DOF) kinematic model is established, which consists of the shoulder girdle, shoulder, elbow, and wrist joints. And seven assessment indices are selected for this assessment system, including a range of motion (ROM), shoulder girdle compensation (SGC), trunk compensation (TC), aiming angle (AA), motion error (ME), motion length ratio (MLR), and useful force (UF). For AA, ME, and MLR, all describe the motor ability of the upper extremity, and a linear model was proposed to map these three indices into one index, called motor control ability (MCA). Then, this system can quantitatively evaluate human upper extremity motor function from joint space kinematics, Cartesian space kinematics, and dynamics. Three healthy participants were invited to verify the effectiveness of this system. The preliminary results show that all participants' handedness performs a little better than the nonhandedness. And the performance of the participants and the change of all the upper limb joints can be directly watched from the trajectory of the hand and joint angles' curve. Therefore, this assessment system can evaluate the human upper limb motor function well. Future studies are planned to recruit elderly volunteers or stroke patients to further verify the effectiveness of this system.