Miracle-dz/UniFAR-FTUs huggingface dataset:
Defining social technologies: evaluation of social collaboration tools and technologies

Abstrac t : The popularity of social technologies continues to grow in the society. The term ‘social technology’ is often referred to digital social networks such as Facebook, Twitter, LinkedIn, etc. In order to this a redefinition of this concept based on the orig inal definition is needed. Nowadays the concept of social technologies has several aspects which destabilize the dominant status of technology. It emphasizes social sciences and the humanities as society shapers, reconsiders the strength of social dimensio n in technological sciences. The aim of this paper is to provide insight into the concept of social technologies, to develop its meaning in information and knowledge society by evaluating social collaboration tools and technologies. Design/methodology/approach – The research results have contributed to the knowledge of the concept of social technologies. Based on the analysis of scientific literature and results of empirical research in the Focus group as well as Con tent analysis, theoretical framework for defining the concept of social technologies was developed. The paper presents effects’ relation analysis with particular social collaboration tools and technologies . Each tool and technology was evaluated by all pos itive/negative effects simultaneously by setting hierarchical impact of the effect on a tool or technology . Research limitations/implications – The research is limited in a few aspects . To understand the concept of social technologies more deeply and to de velop technological perspectives in social sciences a broader theoretical and empirical research is necessary. In order to generalise the research findings, it is recommended that further research includes different dimensions from the perspective of other fields of science.
Integrative Analysis of Transcriptomic and Proteomic Changes Related to Cytoplasmic Male Sterility in Spring Stem Mustard (Brassica juncea var. tumida Tsen et Lee)

The development of flower and pollen is a complex biological process that involves multiple metabolic pathways in plants. In revealing novel insights into flower and pollen development underlying male sterility (MS), we conducted an integrated profiling of gene and protein activities in developing buds in cytoplasmic male sterile (CMS) mutants of mustard (Brassica juncea). Using RNA-Seq and label-free quantitative proteomics, 11,832 transcripts and 1780 protein species were identified with significant differential abundance between the male sterile line 09-05A and its maintainer line 09-05B at the tetrad stage and bi-nucleate stage of B. juncea. A large number of differentially expressed genes (DEGs) and differentially abundant proteins (DAPs) involved in carbohydrate and energy metabolism, including starch and sucrose metabolism, tricarboxylic acid (TCA) cycle, glycolysis, and oxidoreductase activity pathways, were significantly downregulated in 09-05A buds. The low expression of these DEGs or functional loss of DAPs, which can lead to an insufficient supply of critical substrates and ATP, could be associated with flower development, pollen development, and changes in fertility in B. juncea. Therefore, this study provided transcriptomic and proteomic information of pollen abortion for B. juncea and a basis for further research on the molecular regulatory mechanism of MS in plants.
The Effect of Acetonitrile Solvent on the Quantitative Determination of Europium (III) by Voltammetry and its Optimization using the Box-Behnken Design

There is often a drawback during the determination of Eu in aqueous solvents using the voltammetric method. The current signal from water can reduce that of the element, which causes difficulty while separating the Eu signal from other rare earth elements (REE). Therefore, this study used acetonitrile as a solvent due to its high electrical conductivity and wide potential range. The optimum conditions for the determination of Eu in acetonitrile using the Box-Behnken design include 74.56 seconds deposition time, 0.125 V amplitude modulation, and -2.0 V potential deposition. The platinum electrode's performance showed a recovery value of 98.91% and accuracy and precision (in %RSD) of 96.67% and 1.11%, respectively. Furthermore, detection and quantitation limits of 0.6 mg/L and 5.1 mg/L were recorded from the analysis. It concluded that the differential pulse voltammetry method was applied to determine the presence of Eu in acetonitrile.
Early Childhood Development, Human Capital, and Poverty

Children's experiences during early childhood are critical for their cognitive and socioemotional development, two key dimensions of human capital. However, children from low-income backgrounds often grow up lacking stimulation and basic investments, which leads to developmental deficits that are difficult, if not impossible, to reverse later in life without intervention. The existence of these deficits is a key driver of inequality and contributes to the intergenerational transmission of poverty. In this article, we discuss the framework used in economics to model parental investments and early childhood development and use it as an organizing tool to review some of the empirical evidence on early childhood research. We then present results from various important early childhoods interventions, with an emphasis on developing countries. Bringing these elements together, we draw conclusions on what we have learned and provide some directions for future research. Expected final online publication date for the Annual Review of Economics, Volume 14 is August 2022. Please see http://www.annualreviews. org/page/journal/pubdates for revised estimates.
Application of random forest model to predict the demand of essential medicines for non-communicable diseases management in public health facilities

Introduction recent initiatives in healthcare reform have pushed for a better understanding of data complexity and revolution. Given the global prevalence of Non-Communicable Diseases (NCD) and the economic and clinical burden they impose, it is recommended that the management of essential medicines used to treat them be renovated and optimized through the application of predictive modeling such a RF model. Methods in this study, a series of data pre-processing activities were used to select the top seventeen (17) NCD essential medicines most commonly used for treating common and frequent NCD. The study focused on machine learning (ML) applications, whereby a random forest (RF) model was applied to predict the demand using essential medicines consumption data from 2015 to 2019 for approximately 500 medical products. Results with a seventy-eight (78) percent accuracy rate for the training set and a 71 percent accuracy rate for the testing set, the RF model predicted the trend in demand for 17 NCD essential medicines. This was achieved by entering the month, year, district, and name of the NCD essential medicine. Based on historical consumption data, the RF model can thus be used to predict demand trends. Our findings showed that the RF model is talented to commendably perform as a predicting model. Conclusion the study concluded that RF has the ability to optimize health supply chain planning and operational management by boosting the accuracy in predicting the demand trend for NCD essential medicines.
Efficacy of Red Cell Salvage Systems in Open Acetabular Surgery

Over the past 50 years, treatment of displaced acetabular fractures has moved away from conservative treatment with bedrest to operative intervention to achieve anatomic reduction, stable fixation, and allow early range of motion of the hip. However, operative fixation is not without complications. Internal fixation of traumatic acetabular fractures has been coupled with large volume of blood loss both at the time of injury and surgery. This often results in the need for allogenic blood products, which has been linked to increase morbidity (Vamvakas and Blajchman, 2009). In an attempt to avoid the risk associated with allogenic blood transfusion numerous techniques and methods have been devised. Red blood cell salvage (CS) is an intraoperative blood salvage tool where blood is harvested from the operative field. It is washed to remove the plasma, white blood cells, and platelets. The red cells are resuspended in a crystalloid solution. If the hematocrit of the resuspended red blood cells is sufficient, it is transfused to the patient intravenously. The benefits of CS in major spine surgery, bilateral knee replacement, and revision hip surgery are well established (Goulet et al. 1989, Gee et al. 2011, Canan et al. 2013). However, literature reviewing the use of cell saver in orthopedic trauma surgery, specifically acetabular surgery is limited. Our institute performed a retrospective review of 63 consecutive operative acetabular fractures at a level one trauma center. Our study revealed that patients with blood loss of less than 400 mL were 13 times less likely to receive autologous blood, and patients with hemoglobin less than 10.5 were 5 times less likely to receive autologous transfusion (p < 0.05). We also found that no patients with a hemoglobin level less than 10.5 and EBL less than 400 mL received autologous blood return. Autologous blood transfusion had no effect on volume or rate of allogenic blood transfusion. We believed that if a patient's preoperative hemoglobin is less than 10.5 or expected blood loss is less than 400 mL, then CS should have a very limited role, if any, in the preoperative blood conservation strategy. We found ASA greater than 2, BMI greater than 24 and associated fracture type to be a risk factor for high blood loss.
Robust Locomotion Exploiting Multiple Balance Strategies: An Observer-Based Cascaded Model Predictive Control Approach

Robust locomotion is a challenging task for humanoid robots, especially when considering dynamic disturbances. This article proposes a disturbance observer-based cascaded model predictive control (MPC) approach for bipedal locomotion, with the capability of exploiting ankle, stepping, hip and height variation strategies. Specifically, based on the variable-height inverted pendulum model, a nonlinear MPC that is run at a low frequency is built for 3-D locomotion (i.e., with height variation) while accounting for the footstep modulation as well. Differing from previous works, the nonlinear MPC is formulated as a convex optimization problem by semidefinite relaxation. Subsequently, assuming a flywheel at the pelvis center, a linear MPC that is run at a high frequency is proposed to regulate angular momentum (e.g., through rotating the upper body), which is solved by convex quadratic programming. To run the cascaded MPC in a closed-loop manner, a high order sliding mode observer is designed to estimate system states and dynamic disturbances simultaneously. Simulation and hardware experiments demonstrate the walking robustness in real-world scenarios, including 3-D walking with varying speeds, walking across non-coplanar terrains and push recovery.
CXAI: Explaining Convolutional Neural Networks for Medical Imaging Diagnostic

Deep learning models have been increasingly applied to medical images for tasks such as lesion detection, segmentation, and diagnosis. However, the field suffers from the lack of concrete definitions for usable explanations in different settings. To identify specific aspects of explainability that may catalyse building trust in deep learning models, we will use some techniques to demonstrate many aspects of explaining convolutional neural networks in a medical imaging context. One important factor influencing clinician’s trust is how well a model can justify its predictions or outcomes. Clinicians need understandable explanations about why a machine-learned prediction was made so they can assess whether it is accurate and clinically useful . The provision of appropriate explanations has been generally understood to be critical for establishing trust in deep learning models. However, there lacks a clear understanding on what constitutes an explanation that is both understandable and useful across different domains such as medical image analysis, which hampers efforts towards developing explanatory tool sets specifically tailored towards these tasks. In this paper, we investigated two major directions for explaining convolutional neural networks: feature-based post hoc explanatory methods that try to explain already trained and fixed target models and preliminary analysis and choice of the model architecture with an accuracy of 98% ± 0.156% from 36 CNN architectures with different configurations.
Efek Suplementasi Seng (Zn) Terhadap Kadar Kalsium dan Fosfor Serum Sapi Friesian Holstein (FH) Jantan.

HELNI NOVITRI. Effect of Zn Supplementation on The Levels of Calcium and Phosphorus Serum in Friesian Holstein Bulls. Supervised by SUS DERTHI WIDHYARI and ARIEF PURWO MIHARDI. Zinc (Zn) is a micro mineral which is needed in the body. This mineral was needed in a few concentration but absolutely must be present in the feed because it can be converted from other nutrients . The objective of this study was to determine the effect of Zn supplementation 60 ppm on the levels of calcium and phosphorus serum in Friesian Holstein bulls. This study used ten Friesian Holstein bulls, 1618 months old. Bulls were divided into two group, that is group without Zn supplementation (control) and group with Zn supplementation 60 ppm. Zn supplementation were given everyday until four months. Blood sampling was taken before treatment and after four months of treatment for examination of calcium and phosphorus levels. The result showed that Zn supplementation 60 ppm not significantly (p>0.05) on blood levels of calcium and phosphorus. However, calcium level tended to increase and phosphorus levels to decrease after Zn supplementation 60 ppm.
Radiation Ileitis Leading to Enterovesical Fistula

https://doi.org/10.4068/cmj.2022. 58.2. 77 C Chonnam Medical Journal, 2022 Chonnam Med J 2022;58:77-78 Corresponding Author: Akira Hokama Department of Endoscopy, Graduate School of Medicine, University of the Ryukyus, 207 Uehara, Nishihara, Okinawa 903-0215, Japan Tel: +81-988951144, Fax: +81-988951414, E-mail: hokama-a@med.u-ryukyu.ac. jp Article History: Received January 16, 2022 Revised January 21, 2022 Accepted January 24, 2022 FIG. 1. A radiographic study using gastrographin showed the markedly stenotic ileum with ‘saw tooth’ appearance (arrow). FIG. 2. Cystography disclosed the enhancing material draining from the bladder (arrowhead) to the diseased ileum (arrow), consistent with the enterovesical fistula. Radiation Ileitis Leading to Enterovesical Fistula Akira Hokama*, Moemi Kanemoto, Keita Hagiwara, Akihito Ikemura, Erika Koga, Shigehito Tameda, Yuiko Oishi, Souhei Tabata, Kouya Miyazato, and Jiro Fujita Departments of Endoscopy and Infectious, Respiratory, and Digestive Medicine, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan,
Compact planar microstrip branch‐line coupler using equal difference structure

A compact planar microstrip branch‐line coupler using equal difference structures was implemented and measured. Using the equal difference structure effectively reduced the quarter‐wavelength microstrip line and minimized the branch‐line coupler dimension as a result of a novel triangular profile of the structure streamlining the circuit area. Compared with that of conventional planar microstrip branch‐line couplers, the optimized area of the proposed coupler was reduced by 84.2% at a 900 MHz operating frequency. The measured insertion loss, isolation, and return loss performances achieved superior results than 3.9, 23, and 16 dB, respectively, and the measured phase difference between the two output ports was 90° ± 0.1°. Notably, a coupler using equal difference structures can be implemented in standard printed circuit board processes without any lumped elements, bonding wires, or via‐holes, easing integration with wireless communication systems. © 2016 Wiley Periodicals, Inc. Microwave Opt Technol Lett 59:664–668, 2017
Small-scale modelling of urban structure types for the cost evaluation in sanitary environmental engineering

Planners of urban infrastructures are confronted with a dilemma: uncertainty about the concrete effects of global megatrends on the relevant small scale hinders longterm planning while build infrastructures are mostly inflexible to shortand midterm changes. The presented approach uses 14 representative urban structure types for modelling the small-scale development of the population and the costs of water infrastructures in a dynamic scenario model. The results reflect the heterogeneous characteristics of different urban structures under changing conditions and thus can be a basis for more specific action recommendations. Furthermore, they illustrate the need for an integrated planning of urban development and water infrastructures to make use of simultaneous action windows and synergetic effects.
Harvest and nitrogen effects on bioenergy feedstock quality of grass‐legume mixtures on Conservation Reserve Program grasslands

Perennial grass mixtures established on Conservation Reserve Program (CRP) lands can be an important source of feedstock for bioenergy production. This study aimed to evaluate management practices for optimizing the quality of bioenergy feedstock and stand persistence of grass‐legume mixtures under diverse environments. A 5‐year field study (2008–2012) was conducted to assess the effects of two harvest timings (at anthesis vs after complete senescence) and three nitrogen (N) rates (0, 56, 112 kg N ha−1) on biomass chemical compositions (i.e., cell wall components, ash, volatiles, total carbon, and N contents) and the feedstock energy potential, examined by the theoretical ethanol yield (TEY) and the total TEY (i.e., the product of biomass yield and TEY, L ha−1), of cool‐season mixtures in Georgia and Missouri and a warm‐season mixture in Kansas. The canonical correlation analysis (CCA) was used to investigate the effect of vegetative species transitions on feedstock quality. Although environmental variations (mainly precipitation) greatly influenced the management effect on chemical compositions, the delayed harvest after senescence generally improved feedstock quality. In particular, the overall cell wall concentrations and TEY of the warm‐season mixtures increased by approximately 7%. Additional N supplies improved the total TEY of both mixtures by ~1.6–4.2 L ha−1 per 1.0 kg N ha−1 input but likely lowered the feedstock quality, particularly for the cool‐season mixture. The cell wall concentrations of cool‐season mixture reduced by approximately 3%–6%. The CCA results indicated that the increased legume compositions (under low N input) likely enhanced lignin but reduced ash concentrations. This field research demonstrated that with proper management, grass‐legume mixtures on CRP lands can provide high‐quality feedstock for bioenergy productions.
A queuing network model for solving facility layout problem in multi-floor flow shop

Based on comprehensive consideration of stochastic factors and the system performance, we presented an integrated queuing network model(IQNM) to effectively optimize the facility layout of the multi-floor flow shop(MFFS). In this paper, the arrival interval and service times of the workstations are described by the two-moment approximation method, and an iterative algorithm is proposed for estimating the system performance, including the mean throughput, work-in-process(WIP) and sojourn time. In the design process, an optimization model with the throughput and cycle time constraint is established, while the minimize transportation cost is taken as the objective function. After several iterations between system performance and optimization objective, the facility layout problem(FLP) of the MFFS is solved, which takes the maximize throughput and minimize cycle time as the constraint condition. Finally, the effectiveness of the proposed method is verified by a series of numerical experiments. The average error of system throughput is 2.11%. And the sojourn time errors are less than 5% when SCV = 1.5. Therefore, this research can provide relevant theoretical support for the facility layout of the MFFS.
Cooperative Adaptive Cruise Control and Driver Merge Type

This study explored human factors issues associated with cooperative adaptive cruise control (CACC); specifically entering and exiting vehicle platoons. Participants were asked to complete one of three different types of merges in a driving simulator: (1) manual left entrance merge, (2) merge into the middle of a CACC platoon vehicles without speed assistance, and (3) merge into the middle of a CACC platoon vehicles with speed assistance. Drivers’ perceived workload was significantly less for both groups that drove with the CACC system engaged than for the group that manually maintained speed. Perhaps surprisingly, participant condition did not significantly affect physiological arousal as assessed by galvanic skin response (GSR). However, across all groups, GSR was significantly greater during the merges than during cruising/straight highway driving time periods. The two groups that had to manually adjust speed during the merge experienced collisions in 24 (18 percent) of the merges. A possible explanation, supported by participant feedback, is that drivers expect others to act in a courteous manner and to create larger gaps for entrance on to a freeway – something that may not be possible in real world CACC deployment.
Design, Development and Electromagnetic Analysis of a Linear Induction Motor

Linear induction motors (LIMs) are a very effective drive mechanism for actuation and transportation systems. LIMs are capable of generating a non adhesive thrust force, providing both propulsion and levitation forces and is hence considered as a promising propulsion system [1]. LIMs are used in rapid transportation, baggage handling conveyors (belt conveyors), crane drives, theme park rides, induction pumps, impact extrusion machines, flexible manufacturing systems etc. This is attributed to various advantages LIMs have such as, high starting thrust, simple mechanical design and construction, alleviation of gears between motor and the motion device, no backlash, small friction and sustainability for low speed and high speed applications making LIM a strong candidate in applications with linear motion. Force can be uniformly applied to the conveyor belt over a wide area without any mechanical contact by using LIMs to drive conveyor belts, making the drive independent of frictional losses between the rollers and belt. This paper presents a design guide for a longitudinal flux single sided linear induction motor for conveyor application. The design parameters have been verified using two dimensional finite element analysis (2D-FEA). Test results imply the features of LIM that make it a strong candidate for simple conveyor applications.
Comparative Study between Brain and Optic Lobe of Falcon (Falco Columbarius) and Owl (Bubo Bubo)

Background: In Iraq have been collected 10 Falcon (Falco columbarius) and 10 Owl (Bubo bubo ) to obtain their brain (optic lobe) and histological comparative between them. Method: In recent study have been collected specimens and used hematoxylin and eosin stain and used silver stain to compare between them. Result: Our result show weight of brain of falcon was less than owl (4.2± 0.04830 , 4.7± 0. 05164) respectively while weight of optic lobe of falcon was more than owl (1.2±0.05270 , 1.1± 0.05164) respectively. Optic lobe of falcon was consist of six layers with thickness (770.7 ±0.48305 ) while owl was consist of three layers only with (707.7±0.48305). Conclusion: brain weight of falcon is less than owl because of long distance which be fly and weight of optic lobe of falcon is more than owl because it has high vision more than owl