Miracle-dz/UniFAR-FTUs huggingface dataset:
Value extremity contributes to affective polarization in the US

Abstract A wealth of research documents the rise of affective polarization, or the increasing disdain for the out-party in American politics. In this paper, we analyze ANES data from 1988 to 2016 to investigate the contribution of core value polarization to the phenomenon of out-party enmity. We find that greater differences in fundamental principles relate significantly to emotionally intense evaluations of the opposing party and its candidates, as well as the ideological out-group, independent of issue attitude extremity and the strength of one's partisan and ideological identities. Moreover, ANES panel data from 1992 to 1996 reveal that past value extremity promotes future affective polarization. These results are important for our understanding of the nature and extent of value-based polarization in American politics.
Community development model for poverty eradication of indigenous people in Malaysia

Orang Asli is one of the most vulnerable groups in Malaysia, with a disproportionately high incidence of hardcore poverty. The community development model (CDM) was adopted to implement the catfish farming program for the Orang Asli at Kelantan, Malaysia. A focus group discussion (FGD) was conducted to explore the benefits and challenges of the catfish farming program. A total of ten Orang Asli had participated in this study. Content analysis was conducted and it was discovered that the knowledge of Orang Asli on catfish farming and marketing has increased. Besides that, this study also found out that Orang Asli has gained significant skills specifically in business management. Moreover, this project is still ongoing and it is expected to provide opportunities for Orang Asli to increase their income from the sale of catfish. Besides that, identification of challenges is very crucial in the effort to improve this program in the future.
GAMBARAN KEJADIAN LOW BACK PAIN PADA PENGENDARA MOTOR OJEK ONLINE DI SURABAYA

Introduction: Low back pain was discomfort sensation in the lower back area or above the gluteal. Low back pain was a potential health problem for ride-hailing riders. This study aimed to describe of low back pain in online ride-hailing in Surabaya.Method: This study was done in Surabaya, used a cross-sectional design. The sample was 100 respondents using a consecutive sampling technique. Data were obtained using a questionnaire and describe using crosstabs statistical.Results: Online ride-hailing experienced low back pain amounts 61% and has not experienced amounts of 39%. Respondents have experienced low back pain aged >30 years (43%), normal BMI (41%), work position (35%), work duration > 8 hours per day (50%), work period > 5 months (52%), smoking (50%), and not exercising (46%). Conclusion: Low back pain incident has a high value that amounts to 61%. Online ride-hailing are advised to pay attention to the duration of work and work position. Enough rest time and apply an ergonomic working position can prevent the fatigue that causes low back pain.
ASSESSMENT OF CORPORATE SOCIAL RESPONSIBILITY PERFORMANCE AND STATE PROMOTION POLICIES: A CASE STUDY OF THE BALTIC STATES

The development of Corporate Social Responsibility (CSR) initiative is formed by several cultural, economic, social, political and institutional factors which have an impact on setting the priorities and advancement of CSR practices. The aim of this study is to assess CSR performance at the country level. In order to achieve this aim, the main drivers and barriers of CSR initiatives were identified and systematized based on literature review. The policies to address these barriers were analysed and discussed. The framework for the assessment of CSR performance was developed based on the analysis and assessment of the quality of political-regulatory, economic and social environment, implemented public policies to promote CSR and successes that were achieved by countries in implementing recommendations for public policy advancement. The indicators from Venture Capital and Private Equity Country Attractiveness Index, CSR policies areas reviews and EU recommendations for the improvement of public policies linked to the CSR were applied for assessing the CSR performance. The empirical analysis and the assessment of CSR performance in the Baltic States was performed based on the developed framework and policy recommendations that were developed for other countries, taking into account the priorities of “The Belt and Road” project that was initiated by the Chinese government and aiming at sustainable development and global risk mitigation.
Water use efficiency and fodder yield of maize (Zea mays) and wheat (Triticum aestivum) under hydroponic condition as affected by sources of water and days to harvest

This study was conducted at Soilless Culture Unit, Azemor Agribiz Limited, Ibadan to evaluate the effects of sources of water (fish hatchery wastewater (FHW), borehole water (BW) and nutrient solution (NS)) and days to harvest (8, 10 and 12 days after sowing (DAS)) of two forage crops (maize (Zea mays) and wheat (Triticum aestivum)) for green fodder production and water use efficiency under hydroponic conditions. The experiment was conducted under average room temperatures of 25.27o and 27.92oC and humidity of 82.8% and 64% in the morning and evening, respectively. The results showed that the pH of the irrigation water samples ranged from 6.20 to 6.70 while the nitrogen and P contents varied from 0.01 - 0.02 %. Maize crop used more water efficiently on the 10 DAS using NS and wheat at 8 DAS using BW, while total water use (lt/kg fresh matter) was lowest on the 10th DAS using NS and BW to produce maize and wheat fodder, respectively. Generally both crops used less than two liters of water to produce 1 kg green fodder. A fresh yield (t ha-1) of 60.42 was recorded in maize using NS as against 58.38 recorded in wheat using BW. Dry matter yield (t ha-1), DM% of fresh fodder and green fodder (kg tray -1) were highest using NS in maize but not for wheat using NS. In conclusion maize crop can be considered the better choice for production of hydroponic green fodder with better water efficiency and yields using nutrient solution. Key words: Hydroponic, days to harvest, fish hatchery wastewater, borehole water and nutrient solution, maize, wheat
Discrete Optimization of a Gear Pump after Tooth Root Undercutting by Means of Multi-Dimensional Logic Functions

In this paper, the optimization of a gear pump after tooth root undercutting has been investigated; this requires the volumetric, mechanical and total efficiencies of the pump to be calculated. Due to conflict in the existing model, the total efficiency is often calculated with the assumption that the other efficiencies have acceptable values. Multiple-dimensional logical functions are an additional independent method that can be used for the optimization of a pump.
Influenza Screening via Deep Learning Using a Combination of Epidemiological and Patient-Generated Health Data: Development and Validation Study

Background Screening for influenza in primary care is challenging due to the low sensitivity of rapid antigen tests and the lack of proper screening tests. Objective The aim of this study was to develop a machine learning–based screening tool using patient-generated health data (PGHD) obtained from a mobile health (mHealth) app. Methods We trained a deep learning model based on a gated recurrent unit to screen influenza using PGHD, including each patient’s fever pattern and drug administration records. We used meteorological data and app-based surveillance of the weekly number of patients with influenza. We defined a single episode as the set of consecutive days, including the day the user was diagnosed with influenza or another disease. Any record a user entered 24 hours after his or her last record was considered to be the start of a new episode. Each episode contained data on the user’s age, gender, weight, and at least one body temperature record. The total number of episodes was 6657. Of these, there were 3326 episodes within which influenza was diagnosed. We divided these episodes into 80% training sets (2664/3330) and 20% test sets (666/3330). A 5-fold cross-validation was used on the training set. Results We achieved reliable performance with an accuracy of 82%, a sensitivity of 84%, and a specificity of 80% in the test set. After the effect of each input variable was evaluated, app-based surveillance was observed to be the most influential variable. The correlation between the duration of input data and performance was not statistically significant (P=.09). Conclusions These findings suggest that PGHD from an mHealth app could be a complementary tool for influenza screening. In addition, PGHD, along with traditional clinical data, could be used to improve health conditions.
Corporate Sustainability Management: A Shift from Green-Washing to Proactive Strategies

Corporate sustainability strategies integrate social and environmental issues, caused by the organization's activities into the strategic management process. The commitment of companies to corporate sustainability requires a strategic approach to incorporate sustainability practices into business strategy and operations rather than demonstrating rhetoric and green-washing behaviors as demonstrated by most companies. This paper explains the drive for corporate suitability, how managers integrate sustainability practices into their business strategies, and the factors that hinder the integration of sustainability into strategic management. The paper reveals the drivers for integrating corporate sustainability into strategic management: regulatory compliance, legitimacy, corporate reputation, and external pressures. It also reveals balance scorecard and sustainability reporting as sustainability management tools. This research finds the use of appropriate management tools and systems, stakeholder engagement, transparency and communication, management control, organizational culture, and appropriate investment as factors that can facilitate or hamper successful integration and implementation of corporate sustainability strategies.
Schneiderian membrane and its significance in Oral Implants

1 The maxillary sinus a pyramid-shaped cavity and largest paranasal air-filled space with a min volume of 12.5 ML. The Schneiderian membrane is also called as Schneiderian epithelium, which is a membranous lining that covers the inner part of the maxillary sinus. Nowadays, rehabilitation by prosthetic implants, even in edentulous areas of the maxilla affected by severe bone atrophies, is an unavoidable necessity, leading to the development of standardized, predictable, and safe regenerative techniques. The raising of the maxillary sinus is a surgical technique that vertically raises the usable volume of bone in the lateral-posterior areas of the maxilla, allowing.
A capability-based framework of utilising data-in-use to create business value in integrated solutions, advanced service, or PSS

Digitalisation is a crucial enabler of servitisation, with digital capabilities allowing interaction, integration, and aligning of processes that create value for both manufacturers and customers. We report of a multi case study of digital capabilities in the UK truck manufacturing industry. The fundamental components of digital capabilities are identified as data capturing capability, connectivity capability and analytical capability.The role of digital capabilities as a resource is explored from the perspective of the Resource Based View (RBV). It was found that digital capabilities enable data-in-use and in combination facilitate value creation, offer strategic potential and sustainable competitive advantage in the collaborative service network, through visibility of operations, information exchange and effective management of field knowledge.
Ideologies and Competition: Student Reflections on Their Statecraft Experience

Abstract This article utilizes the online world politics simulation Statecraft to examine how students perceive the influence of simulations on their political ideologies as well as their expectations about behavior and outcomes within the constraints of a virtual world. This paper does not evaluate learning outcomes or student understanding of class content. The research method relies on the content analysis of one hundred and ninety-five papers collected from students enrolled in ten sections of a coauthor’s courses. The papers reveal that students may begin the simulation with different expectations. Some approach it as a game while others use it as a way to test their ideological goals and values. Students make definitive connections between their initial political ideologies (folk realism or folk idealism) and their initial strategies within the simulation as well as how their ideological positions change over time as a response to events within the simulation. In addition, they justify their actions based on their political ideology and final outcome-success or failure. This is true even though most students are aware, at least in part, of a number of procedural restrictions inherent in the simulation. Recommendations for monitoring during and debriefing after the simulation are suggested.
Progressive structural change in the Central American integration process

The intellectual history of ECLAC has been one of “continuity with changes”. These changes allowed adjusting policy proposals and action plans to the ever–changing international environment. ECLAC has proposed to the Central American region mainly three development models in the last 70 years: the first one, to overcome the agro–export phase based on primary products (“outward development”) ECLAC proposed a process of industrialization and urbanization (“inward development” or “industrialization by import substitution”; the second one, was the integration with the global economy along with strengthening regional integration (“open regionalism”); and the third, more recently, a productive transformation with emphasis in equality (“progressive structural change”). The objective of this paper is to identify a set of economic policies that could operationalize recent ECLAC’s development proposal called “progressive structural change”. The progressive structural change groups strong ideas based on the need to renew productive policy, promote sustainable development and place equality at the center of public policy actions.
Functionalization of Polymers and Nanomaterials for Biomedical Applications: Antimicrobial Platforms and Drug Carriers

The use of polymers and nanomaterials has vastly grown for industrial and biomedical sectors during last years. Before any designation or selection of polymers and their nanocomposites, it is vital to recognize the targeted applications which require these platforms to be modified. Surface functionalization to introduce the desired type and quantity of reactive functional groups to target a cell or tissue in human body is a pivotal approach to improve the physicochemical and biological properties of these materials. Herein, advances in the functionalized polymer and nanomaterials surfaces are highlighted along with their applications in biomedical fields, e.g., antimicrobial therapy and drug delivery.
PECULIARITIES OF MORPHOGENESIS OF CHANGES IN THE PERIODONTIUM AT EXPERIMENTAL ACTION OF OPIOID DURING TWO WEEKS AND ITS SUBSEQUENT FOUR WEEKS CANCELLATION AND CORRECTION

The aim of the study was to examine the periodontal tissues of white rats under two weeks of opioid exposure, after its abolition and drug correction for four weeks at the optical level. After two weeks of experimental action of the opioid analgesic and its subsequent four-week withdrawal, pronounced irreversible changes in the structural components of the periodontium of animals were not detected, however, and their complete recovery was not observed. The proposed drug correction with pentoxifylline and ceftriaxone with opioid withdrawal after two weeks of its administration, led to the restoration of microcirculation and trophic tissues of periodontal tissues of rats, their morphological organization was approaching normal.
A Hybrid Screen Size Independent Authentication Scheme for Smart Devices

Although, several authentication schemes have already been proposed for smart devices; however, most of these schemes does not consider the fact that smart devices come in different sizes. Hence, they are not screen size independent — which is the point of interest in this paper. Again, alongside screen size independence, a secure scheme also must defend the aforementioned attacks. Taking these concerns into account, in this paper, a hybrid screen size independent authentication scheme is proposed for smart devices that integrates Vibration Code or VC and Press Touch Code or PTC using a juggling-based approach. Here, VC ensures resilience against the shoulder surfing attack since it is a sense based technique and hybridization of both these schemes contribute to attaining resilience against the smudge and brute force attacks up to some extent. In addition, the proposed scheme does not require a space more than the placement of a finger on the screen; and thus, it is screen size independent. The proposed scheme is evaluated in terms of security and functionality; and compared with other similar schemes where it outperforms the others.
Distribución geográfica potencial de papaya silvestre cultivada en México

Las poblaciones silvestres de papaya (Carica papaya L.) integran un recurso biológico para el mejoramiento genético de la especie. La predicción de la distribución geográfica de las poblaciones silvestres y cultivadas es una herramienta útil para determinar sitios de colecta para su uso y conservación. Con el objetivo de estimar la distribución potencial de papaya en México, se elaboró una base de datos con información de geo-referenciación de individuos de papaya silvestre y cultivados, posteriormente se aplicó el algoritmo de máxima entropía (MaxEnt) con 22 variables bioclimáticas como predictores. El área total de la distribución potencial de los especímenes silvestres fue de 114 546.5 km2, las áreas de alto potencial se ubicaron en el Golfo de México (sur de Veracruz, Tabasco, Campeche) y en la costa de Chiapas. La papaya cultivada presentó una distribución potencial alta en tres zonas: sur de Veracruz, costa de Chiapas y norte de Guerrero, conformando 185 396.9 km2. Las variables que más contribuyeron en el modelo para estimar la distribución potencial de papaya silvestres fueron: temperatura mínima promedio del periodo más frío (33%), temperatura promedio anual (20%) y régimen de humedad del suelo (13%), para la distribución de cultivares las variables más importantes fueron: temperatura mínima promedio del periodo más frío (41%), precipitación del cuatrimestre más lluvioso (19%) y precipitación anual (11%). Los factores ambientales temperatura y precipitación pluvial, fueron comunes en la predicción de distribución de ambos tipos de papaya en México.
Neuroprotection of Retinal Ganglion Cells Suppresses Microglia Activation in a Mouse Model of Glaucoma

Purpose Microglial activation has been implicated in many neurodegenerative eye diseases, but the interrelationship between cell loss and microglia activation remains unclear. In glaucoma, there is no consensus yet whether microglial activation precedes or is a consequence of retinal ganglion cell (RGC) degeneration. We therefore investigated the temporal and spatial appearance of activated microglia in retina and their correspondence to RGC degeneration in glaucoma. Methods We used an established microbead occlusion model of glaucoma in mouse whereby intraocular pressure (IOP) was elevated. Specific antibodies were used to immunolabel microglia in resting and activated states. To block retinal gap junction (GJ) communication, which has been shown previously to provide significant neuroprotection of RGCs, the GJ blocker meclofenamic acid was administered or connexin36 (Cx36) GJ subunits were ablated genetically. We then studied microglial activation at different time points after microbead injection in control and neuroprotected retinas. Results Histochemical analysis of flatmount retinas revealed major changes in microglia morphology, density, and immunoreactivity in microbead-injected eyes. An early stage of microglial activation followed IOP elevation, as indicated by changes in morphology and cell density, but preceded RGC death. In contrast, the later stage of microglia activation, associated with upregulation of major histocompatibility complex class II expression, corresponded temporally to the initial loss of RGCs. However, we found that protection of RGCs afforded by GJ blockade or genetic ablation largely suppressed microglial changes at all stages of activation in glaucomatous retinas. Conclusions Together, our data strongly suggest that microglia activation in glaucoma is a consequence, rather than a cause, of initial RGC degeneration and death.
Brain Tumor Classification Using Enhanced Statistical Texture Features

ABSTRACT Radiology is a vast subject and we require more knowledge and understanding for exact detection of tumor in medical science. Thus a need for tumor detection system overcomes the shortage of skilled radiologists. Biomedical image processing using Magnetic Resonance Imaging (MRI) makes the task of detection and localization of brain tumor. In this article, a brain tumor segmentation and detection approach has been designed using MRI sequence images as input image for defining the tumor region. This process is difficult due to the large diversity in the presences of tumor tissues with respect to different patients and in most of the cases similarity within the normal tissues makes the task difficult. The main goal is to classify the brain into the presence of brain tumor or a healthy brain. The proposed system provides Edge-based Contourlet Transformation for multiple input image registration, fusion and pre-processing, for Region of Interest(ROI) of tumor region the region-growing segmentation algorithm provides accurate boundaries, in feature extraction the Gray Level Run Length Matrix (GLRLM) and Center-Symmetric Local Binary Patterns(CSLBP) texture features are combined for efficient brain tumor detection and for classification Adopting Neural Network(ANN) techniques is carried out. The experimental results of our proposed method are compared with different algorithms in terms of accuracy.
Lethal and sublethal effects of ammonia in Deuterodon iguape (Eigenmann 1907), potential species for Brazilian aquaculture

The cultivation of the lambari, Deuterodon iguape, supplies much of the Brazilian market with live bait for sport fishing. The high densities used to maximize production can increase the concentration of ammonia. In order to evaluate the sublethal and lethal effects of different concentrations of ammoniacal nitrogen (non-ionized ammonia plus ionized ammonia), D. iguape were exposed to this xenobiotic. The LC50 values for 24, 48, 72, 96 h of ammonia-N were 6.17, 5.57, 3.88 and 2.90 mg L-1 at 23°C. The LC50 values of 24, 48, 72, 96 h of NH3-N (non-ionized ammonia with nitrogen) were 0.015; 0.013; 0.009; 0.007 mg L-1. The specific oxygen consumption increased at the ammonia-N concentrations tested. The values for the concentrations of 0.1; 0.25; 0.5 and 1.0 mg L-1 were: 0.25, 0.33; 0.31 and 0.44 mlO2 g-1 h-1. At the concentration of 1.0 mg L-1 of ammonium chloride there was a 41.33% increase in the consumption level in relation to the control. Ammonia excretion also increased with increasing ammoniacal nitrogen concentration. The fish excreted, on average, 0.0320, 0.0364, 0.0368 and 0.0370 mg/g/h of ammonia. Comparing these results with the means of ammonia excretion of the control (0.0 mg L-1), it was observed that these values represent an increase in the excretion of 146%, 177%, 189% and 184%, respectively. After 24 h of exposure to ammonia, the O:N ratio decreased by 43.46%. Our results indicate pronounced metabolic effects and increased toxicity with increasing ammonia concentrations. We recommend avoiding concentrations higher than 0.25 mg L-1 NH3-N in the culture water.