jimnoneill/paper-to-field-training huggingface dataset:
The Urgency of Implementing Islamic Business Ethics and Islamic Business Management Post-Pandemic on MSMEs

Field: Business, Management and Accounting (Social Sciences)

The covid-19 pandemic has reprimanded man with various complex phenomena that have never happened before, both in the fields of health, social, cultural, and economical. In the field of economics, especially the micro, small, and medium sector business actors are mostly paralyzed and on the verge of bankruptcy. This study considers it necessary to examine several aspects of business management, especially MSMEs’ ways of maintaining their business during and after the pandemic. This study aims to examine and analyze the urgency of implementing Islamic business management which can be used as an illustration and guide for business actors. This study uses a descriptive-qualitative approach. The data used is secondary data, referred to as a literature study. The data analysis technique in this study uses three paths, reduction, presentation, and drawing conclusions. The results show that Islamic Business Ethics and Islamic business management are mandatory for business actors so that businesses can run even in the midst of difficult situations. The principles in Islamic business ethics are balance (fairness), free will, responsibility, and truth, while Islamic business management is marketing management, human resource management, and financial management. The results of the study imply that businesses that are run based on Islamic business management principles have the ability to survive and can maintain business continuity. The implementation of ethics and business management within the Islamic framework is very important to be realized by MSMEs actors through their business activities or operations.
BIM-3D GIS: an integrated system for the knowledge process of the buildings

Field: Engineering (Physical Sciences)

The low accessibility of information regarding the design and construction phases and the current state of the buildings is the main cause of inefficient actions on existing buildings. The lack of 'as built' documentation and the complex task of detecting their current status in terms of use and maintenance cause deep difficulties in planning appropriate interventions. This paper shows the findings of a research aimed at testing the integrated use of BIM and 3D GIS in order to structure knowledge. The work led to the development of a BIM-3D GIS workflow that was tested on two case studies in Italy. .
Evaluating the effectiveness of aerial pesticide application in reducing the risk of pesticide-related diseases

Field: Medicine (Health Sciences)

BACKGROUND AND AIM: The purpose of this study was to evaluate the risk of pesticide-related diseases among pesticide-spraying personnel compared to farmers and to assess the effectiveness of the new method of aerial pesticide application in reducing this risk. METHOD: This study included all 2,725 pesticide-spraying personnel who passed the national certification examination from 2010 to 2021. To compare their risk of pesticide-related diseases with farmers, we matched them with four times the number of farmer controls of the same age, gender, and enrollment area (n=10,858). The study population was linked to the National Health Insurance Research Database from 2010 to 2020 to track inpatient/ outpatient cases. The target diseases of this study were pesticide-related diseases, including pesticide poisoning (ICD-10 CM: T60), acute liver failure (K72), acute renal failure (N17), asthma (J45, J46), chronic bronchitis (J410, J411, J418, J42), Parkinson's disease (G20, G21)). Logistic regression was used to assess odds ratios and 95% confidence intervals for outcomes. RESULTS: This study found only a slight increase in the prevalence of pesticide poisoning among pesticide-spraying personnel compared to the farmer controls (25.69 per 100,000 vs. 23.95 per 100,000), but there was no statistical difference between the two groups. To further analyze the effectiveness of different application methods, we compared the risk of disease between aerial pesticide applicators (n=1,001) and ground pesticide applicators (including indoor facility fumigation, outdoor soil fumigation, and seed disinfection) (n=1,724) among pesticide-spraying personnel. After correcting for age, gender, and place of residence, we found that the aerial applicators had a lower risk of asthma (OR=0.30; 95%CI=0.15-0.57) and chronic bronchitis (OR=0.20; 95%CI=0.06-0.66) compared to the ground pesticide applicators. CONCLUSIONS: This study suggests the aerial pesticide spraying can reduce the risk of asthma and chronic bronchitis in applicators compared to ground application. Field surveys are recommended to verify these potential health risk indicators.
Copolymers of Caprylic Acid Allyl Ester With Butyl Methacrylate and Styrene as a Viscosity Additive for Lubricanting Oils

Field: Chemical Engineering (Physical Sciences)

Abstract

Purpose The paper is focused on synthesis the double copolymers of allyl ester of caprylic acid with butyl methacrylate, styrene and ternary copolymer with butyl methacrylate and styrene as viscosity additives in lubricanting oils. Methods The structure of synthesized compounds was proved by studying their physicochemical properties by IR and NMR spectroscopy. The molecular weight and the molecular weight distribution (MWD) of the copolymers were determined on a high-performance liquid chromatography. Thermal analysis of the synthesized copolymers was carried out using a simultaneous thermal analysis unit. The viscosity index and kinematic viscosity of the oil with the test copolymers were determined according to the appropriate ASTM methods. Results It has been established that the synthesized copolymers, having high viscosity-temperature, depressant properties, are effective viscosity additives that improve the thermal stability of mineral oils. Conclusion Conditions for the copolymerization of binary and ternary copolymers by the radical mechanism in the presence of benzoyl peroxide as an initiator have been developed. By adjusting the proportion of monomers, it has been shown that the synthesized copolymers can be dissolved in both mineral and complex essential oils.
Accessory Spleen In Gastrosplenic Ligament.

Field: Medicine (Health Sciences)

Background: They are typically asymptomatic and are detected when an imaging test or surgery is performed by chance. In this case, we present an unusual finding of an accessory spleen, which was discovered in the gastrosplenic ligament during an emergency laparotomy due to abdominal injury. This observation suggests that accessory spleens should be considered in the differential diagnosis of intra-abdominal masses in both trauma and oncologic cases. Study Design: A Case Report. Place and Duration of Study. Department of Surgery Mardan Medical Complex,Kpk Pakistan from jan to June 2024 Introduction Spleen develops during the sixth week of gestation using coelomic epithelium around the dorsal pancreatic bud. As the cells continue to grow and invade the mesenchyme, the splenic tissue becomes vascularized and locally lobulated, shaping its final morphology [1]. The spleen is usually in the left upper abdominal quadrant between the 9th and 11th ribs and weighs about 200 gram[2]. Secondary spleens, or splenunculi, can be found in around 10-30 per cent of people[3]. These are commonly asymptomatic and anatomically the same as the primary spleen about blood supply as the splenic artery[4] supplies the main spleen. The majority of accessory spleens tend to be found adjacent to the splenic hilum or the tail of the pancreas. However, they can also be found in the gastrosplenic or lienorenal ligaments, mesentery or the retroperitoneum[5]. Distinguishing them with lymphadenopathy or neoplastic masses plays a crucial role in oncologic and surgical assessment [6].
Carnivorous plants.

Field: Agricultural and Biological Sciences (Life Sciences)

To understand carnivorous plants, it is necessary, first, to understand the habitat in which they are located.They tend to develop in environments with nutrient-poor, waterlogged, and mostly acidic soil.These adverse and scarce conditions require different strategies and traps for their nutrition.Also called insectivorous, this species captures prey to use as a nutritional supplement.It can be observed that different species adapt to the natural environment extremely easily.They transform according to the needs that survival in each territory requires.The carnivorous plant is the result of this process.The presence of a digestive enzyme allows the carnivorous plant to feed differently from other plants (Figure 1) [1][2][3].Figure 1.Carnivorous plants with their prey (fly) inside.Source: https://animals.sandiegozoo.org/plants/carniverous-plantsCarnivorous plants occur predominantly in the tropical zone of the planet, with great biodiversity occurring in Southeast Asia, the Americas, and Australia.A smaller number of species occur in southern Europe and Africa, with those best adapted to their habitat being found in inhospitable places such as Alaska, Scandinavia, and the Australian desert.There
Online Stability in Human-Robot Cooperation with Admittance Control

Field: Engineering (Physical Sciences)

In the design of a compliant admittance controller for physical human-robot interaction, it is necessary to ensure stable and effective cooperation. The stability of the admittance controller is mainly threatened by a stiff environment. Many methods that guarantee stability in arbitrary environments, impose conservative control gains that limit the effectiveness of the cooperation. Inspired by previous work in frequency domain stability observers, a method is proposed in this paper to detect unstable behavior and stabilize the robot with online adaptation of the admittance control gains. The introduced instability index is based on frequency domain analysis, which very quickly detects unstable behavior by monitoring high frequency oscillation in the force signal. To treat the instability, an adaptation scheme of the admittance parameters is proposed, that relaxes conservative gains and improves the cooperation by considering the effect of variable admittance on the operators' effort. We investigate two human-robot co-manipulation tasks; cooperation within a zero stiffness environment and cooperation in contact with a stiff double-wall virtual environment. The proposed methods are validated experimentally with a number of subjects in cooperation with an LWR manipulator.
Design and development of a dancing robot

Field: Engineering (Physical Sciences)

Technological advancements in the field of robotics have enabled the creation of powerful, yet affordable model of humanoid robots. Robonova-1, by Hitec Robotics is considered as one of the most popular among these robots. However the center of gravity (CG) of these robots is located at the upper torso. This greatly affects the stability and restricts the motion of the robot. The Bluetooth technology and vision system of Robonova-I robots has already been perfected by previous researches. This report will focus on the imparting of intelligence to the robot as well as explore the potential for human-robot interaction and the improvement of the robot center of gravity (CG). This could be achieved with the support of CMUcam vision technology and the introducing of continuous servos. In this project, an RN-1 robot is modified in such a way that, the original head of the Robonova-1 is replaced by the tilt mechanism with the CMUcam3 attached to it. Camera function enables the robot to identify and track objects of various colors, monitor the movement of object and then process the image for further reaction. This paper also discusses modification of two standard HS- 5475HB servo to be used as continuous servo to control the two drive wheels which is secured on the robot platform. With the implementation of continuous servo, it allows the robot to be able to perform rotation of 360 degree left or right movement as well as moving forward or backward thus enhancing the robot stability.
Validation of the Assessment of Teachers’ Pedagogical Content Knowledge as a Self-Assessment with K-12 Teachers in a Title 1 School District

Field: Social Sciences (Social Sciences)

Teacher quality has become a topic of national discussion due to the United States’ lagging behind other countries’ success on both international and national assessments. Validation of the Assessment of Teachers’ Pedagogical Content Knowledge (ATPCK) as a self-assessment with K-12 teachers in a Title 1 school district is the purpose of this research. Assessing teachers’ pedagogical content knowledge (PCK) growth as a result of professional development is a challenge. Utilizing confirmatory factor analysis allowed the researcher to determine the validity and reliability of the ATPCK as a self-assessment measure of teachers’ PCK. The research results will be utilized to support the improvement of future district and site-based evaluation of teacher professional development practices.
The Medicines Intelligence Data Platform: A Population‐Based Data Resource From New South Wales, Australia

Field: Health Professions (Health Sciences)

ABSTRACT Background The Medicines Intelligence (MedIntel) Data Platform is an anonymised linked data resource designed to generate real‐world evidence on prescribed medicine use, effectiveness, safety, costs and cost‐effectiveness in Australia. Results The platform comprises Medicare‐eligible people who are ≥18 years and residing in New South Wales (NSW), Australia, any time during 2005–2020, with linked administrative data on dispensed prescription medicines (Pharmaceutical Benefits Scheme), health service use (Medicare Benefits Schedule), emergency department visits (NSW Emergency Department Data Collection), hospitalisations (NSW Admitted Patient Data Collection) plus death (National Death Index) and cancer registrations (NSW Cancer Registry). Data are currently available to 2022, with approval to update the cohort and data collections annually. The platform includes 7.4 million unique people across all years, covering 36.9% of the Australian adult population; the overall population increased from 4.8 M in 2005 to 6.0 M in 2020. As of 1 January 2019 (the last pre‐pandemic year), the cohort had a mean age of 48.7 years (51.1% female), with most people (4.4 M, 74.7%) residing in a major city. In 2019, 4.4 M people (73.3%) were dispensed a medicine, 1.2 M (20.5%) were hospitalised, 5.3 M (89.4%) had a GP or specialist appointment, and 54 003 people died. Anti‐infectives were the most prevalent medicines dispensed to the cohort in 2019 (43.1%), followed by nervous system (32.2%) and cardiovascular system medicines (30.2%). Conclusion The MedIntel Data Platform creates opportunities for national and international research collaborations and enables us to address contemporary clinically‐ and policy‐relevant research questions about quality use of medicines and health outcomes in Australia and globally.
Data‐driven solvers for strongly nonlinear material response

Field: Engineering (Physical Sciences)

Abstract This work presents a data‐driven magnetostatic finite‐element solver that is specifically well suited to cope with strongly nonlinear material responses. The data‐driven computing framework is essentially a multiobjective optimization procedure matching the material operation points as closely as possible to given material data while obeying Maxwell's equations. Here, the framework is extended with heterogeneous (local) weighting factors—one per finite element—equilibrating the goal function locally according to the material behavior. This modification allows the data‐driven solver to cope with unbalanced measurement data sets, that is, data sets suffering from unbalanced space filling. This occurs particularly in the case of strongly nonlinear materials, which constitute problematic cases that hinder the efficiency and accuracy of standard data‐driven solvers with a homogeneous (global) weighting factor. The local weighting factors are embedded in the distance‐minimizing data‐driven algorithm used for noiseless data, likewise for the maximum entropy data‐driven algorithm used for noisy data. Numerical experiments based on a quadrupole magnet model with a soft magnetic material show that the proposed modification results in major improvements in terms of solution accuracy and solver efficiency. For the case of noiseless data, local weighting factors improve the convergence of the data‐driven solver by orders of magnitude. When noisy data are considered, the convergence rate of the data‐driven solver is doubled.
MicroRNA-34 mediates AR-dependent p53-induced apoptosis in prostate cancer

Field: Biochemistry, Genetics and Molecular Biology (Life Sciences)

1822 Recent reports show that AR is the key determinant for the molecular changes required for resistance to apoptosis and for driving prostate cancer cells from an androgen-dependent to androgen depletion, independent (ADI) state. Further recent publications suggest that downregulation of AR expression should therefore be considered the main strategy for the treatment of ADI disease. However, there is little data about how androgen-dependent cancer cells respond to apoptosis-inducing agents after knocking down AR expression. We therefore investigated whether downregulation of AR expression using siRNA AR (si-AR) would be effective for inducing apoptosis in combination with apoptosis-inducing agents. si-AR prevented apoptosis induced by the DNA damage inducing drugs doxorubicin (DOX) and camptothecin (Campt). These agents activate, i.e. phosphorylate, p53, which in turn regulates the expression of a variety of apoptosis-related genes, including microRNA-34a and 34b/c. We investigated 7 phosphorylation sites of p53 after DOX treatment and found that DOX induced 5 of them (Ser15, 20, 37, 46, and 392); phosphorylation of all 5 sites was inhibited by si-AR. This suggests that at least two kinases are involved in AR-mediated suppression of p53. We have also found that three kinases (SPAK, NFBD1, and CaMKII) are under AR control and participate in events upstream of p53 that result in p53 inhibition. Using q PCR we then investigated miRNA-34a and -34c expression. The level of miRNA-34a increased 3X after DOX treatment but no increase was found in si-AR cells; the level of miRNA-34c increased 27X after DOX and only by 2X with si-AR. The data suggest that AR-dependent inhibition of p53 results in suppression of microRNA-34a and -34c that in turn inhibits DOX-induced apoptosis. To directly investigate the role of microRNA-34 in apoptosis, we transfected cells with anti-microRNA-34 oligonucleotides or with microRNA-34, and found that anti-microRNA-34a/c inhibited DOX-mediated apoptosis whereas microRNA-34a/c enhanced DOX-mediated apoptosis; even without DOX treatment microRNA-34 transfection itself induced caspase activity. Taken together, our data indicate that microRNA-34a and 34c play important roles in AR-dependent p53-mediated apoptosis in prostate cancer.
RAMHU: A New Robust Lightweight Scheme for Mutual Users Authentication in Healthcare Applications

Field: Computer Science (Physical Sciences)

Providing a mechanism to authenticate users in healthcare applications is an essential security requirement to prevent both external and internal attackers from penetrating patients’ identities and revealing their health data. Many schemes have been developed to provide authentication mechanisms to ensure that only legitimate users are authorised to connect, but these schemes still suffer from vulnerable security. Various attacks expose patients’ data for malicious tampering or destruction. Transferring health-related data and information between users and the health centre makes them exposed to penetration by adversaries as they may move through an insecure channel. In addition, previous mechanisms have suffered from the poor protection of users’ authentication information. To ensure the protection of patients’ information and data, we propose a scheme that authenticates users based on the information of both the device and the legitimate user. In this paper, we propose a Robust Authentication Model for Healthcare Users (RAMHU) that provides mutual authentication between the server and clients. This model utilizes an Elliptic Curve Integrated Encryption Scheme (ECIES) and PHOTON to achieve strong security and good overall performance. RAMHU relies on multiple-pseudonym, physical address, and one-time password mechanisms to authenticate legitimate users. Moreover, extensive informal and formal security analysis with the automated validation of Internet security protocols and applications (AVISPA) tool demonstrate that our model offers a high level of security in repelling a wide variety of possible attacks.
Comparison between subjective and ultrasound assessments of fetal movement.

Field: Medicine (Health Sciences)

Forty pregnant women participated in a study to compare subjective with ultrasound assessments of fetal movements. A real-time ultrasound scanner was used. Movements were recorded for 45 minutes in all cases. There was a significant positive correlation between the number of movements recorded by the two methods, but the 95% confidence limits were wide and no correlation was found in those patients who recorded fewer than 20 movements in the study period. Thus "false-positive" information may be obtained from purely subjective data, and in patients reporting low "kick counts" fetal activity should be assessed from real-time ultrasound recordings.
American and Chinese Public Opinion in an Era of Great Power Competition

Field: Social Sciences (Social Sciences)

As US-China great power competition intensifies, public opinion polling may help gauge internal drivers of foreign policy decision-making. Using Pew Research Center data, we analyzed how Americans and Chinese perceived their own and each other’s countries between 2008-2016. We also compared these samples’ perceptions of current economic and future superpower leadership. While Chinese evaluated China more favorably than Americans evaluated the US, they also evaluated the US more favorably than Americans evaluated China. Among Americans, on average, Republicans viewed China less favorably and the US more favorably than Independents or Democrats. Although Chinese consistently viewed the US as the current economic leader, Chinese became increasingly optimistic about China’s prospects for future superpower preeminence over time. Conversely, American perceptions of America’s future status as a leading superpower became increasingly pessimistic over time, especially for Republicans and Independents. Republicans and Independents were also more optimistic about US economic leadership under Republican presidents, while Democrat perceptions were more consistent over time. We discuss our findings’ implications for US-China great power competition and in view of psychological theory.