jimnoneill/paper-to-field-training huggingface dataset:
You don’t forget where you come from: linking formation and operations in publicly funded innovation networks

Field: Business, Management and Accounting (Social Sciences)

Publicly funded innovation networks (PFINs) are an increasing form of organising joint innovation activities. Yet, little is known about this form of organisation which mixes characteristics of centralised and de-centralised innovation networks. This research investigates how processes of network formation affect its operation in PFINs as a hybrid form between centralised and de-centralised networks. Presenting rich data from a PFIN in the Scandinavian maritime industry, the findings show three patterns linking network formation and operation. The first pattern – well-aligned centralised and de-centralised approaches - in network formation resulted in well-functioning network operation. The second pattern - misalignment between centralised and decentralised approaches in network formation resulted in stagnating innovation activities during network operation. The third pattern - a pre-dominant decentralised approach during network formation resulted in unconnected subactivities during network operation. This research contributes by showing the importance of utilising both centralised and de-centralised approaches and aligning them to enable well-functioning network formation and operation.
Spatial response of jejunal pacing defined by a novel high-resolution multielectrode array

Field: Medicine (Health Sciences)

A novel surface-contact electrode array customized for the small intestine anatomy enabled simultaneous pacing and high-resolution response mapping. The spatial response of small intestine bioelectrical activity to pacing was mapped for the first time in vivo. Antegrade and circumferential pacing achieved spatial entrainment over 70% of the time and their induced pattern was held for 4–6 cycles postpacing at high energy (4 mA, 100 ms, at ∼2.7 s which corresponds to 1.1 × intrinsic frequency).
Understanding the development of young children in Singapore : insights from the analysis of Singapore Health Booklet items from the IED-III norming sample

Field: Health Professions (Health Sciences)

Purpose: Norms stated in the Singapore Health Booklet were established almost 30 years ago using Denver Developmental Screening Test (DDST) Singapore. Thus this study aimed to find out 90th percentile age norms (PAN) of developmental milestones from the Booklet matched to items in Brigance Inventory of Early Development (IED) III of the children of today, and investigate possible reasons for differences observed. \n \nMethods: IED III was administered to 1123 children aged between 2 to 6 years 11 months. Items tested on IED were then matched to items in 2014 Health Booklet. Logistic regression analyses and paired T-tests (P<0.1) were carried out. \n \nResults: 28 items were matched. 70% of 90th PAN derived from the sample were higher than Health Booklet 90th PAN. Overall, differences were statistically significant (0.000), but statistical significance of differences for individual items could not be determined. Sample demographics, items procedures and predictor variables were also analysed to account for differences observed in PAN. \n \nConclusion: 90th PAN of developmental milestones were derived. However, it was inconclusive on whether differences found were a cause for concern with regards to changes in children development over the years. Follow up studies would be beneficial to reach a more informed conclusion.
COMMERCIAL REAL ESTATE LEASING: ANALYSIS OF ECONOMIC EFFICIENCY

Field: Economics, Econometrics and Finance (Social Sciences)

 ЕКОНОМІКА ТА УПРАВЛІННЯ ПІДПРИЄМСТВАМИThe article describes typical aspects of leasing agreements that are concluded in the national economy at present (by subjects, duration, rates, advance payments and leased assets).There are realizes a qualitative analysis of the advantages and disadvantages of commercial real estate leasing in comparison with mortgage lending.The economic efficiency of commercial real estate leasing and mortgage lending contracts was compared based on cash flow modeling in a different ways -before and after income tax (using economic performance indicators so as net present value costs, internal rate of return, equivalent annual annuity, effective or equivalent interest rate).In the paper is explains the choice of baseline data for calculation, reveals the methodology of the conducted research and presents the results of evaluation of leasing and mortgage contracts in comparison.The comparability of the selected leasing and mortgage contracts for valuation is provided by the existence of the same agreement terms, calculation scheme of periodic payments, similarity size of the advance payments and using of the same value of the commercial real estate object.There are makes the conclusions about what indicators of economic efficiency of a real estate leasing contract with standard terms are inferior to a mortgage loan agreement, and analyzes the reasons for lower efficiency.In particular, it has been found that the size of net present value cash flow costs, even with tax benefits, is higher on a lease than on a mortgage.The obtained higher internal rate of return on leasing results in lower financial risks that the lessor carries as opposed to the mortgage lender.It indicates a reserve to reduce the interest rate on the lease agreement.The comparison of the effective interest rates on the lease agreement and the mortgage loan revealed their excess in the case of leasing, which explained by the complex nature of the related services provided by the lessor.In conclusions there are proposes measures to promote the development of commercial real estate leasing by business entities, related to changes in contract parameters and the expansion of real estate leasing information.
Cognitive dysfunction associated with COVID-19: a comprehensive neuropsychological study

Field: Neuroscience (Life Sciences)

Abstract

Objective. Recent evidence suggests that patients suffering post-acute COVID syndrome frequently report cognitive complaints, but their characteristics and pathophysiology are unknown. This study aims to determine the characteristics of cognitive dysfunction in patients reporting cognitive complaints after COVID-19 and to evaluate the correlation between cognitive function and anxiety, depression, sleep, and olfactory function.Methods. Cross-sectional study involving 50 patients with COVID-19 reporting cognitive complaints 9.12±3.46 months after the acute infection. Patients were evaluated with a comprehensive neuropsychological protocol, and scales of fatigue, depression, anxiety, sleep and an olfactory test. Normative data and an age- and education matched healthy control group were used for comparison. Results. COVID-19 patients showed a diminished performance on several tests evaluating attention and executive function, with alterations in processing speed, divided attention, selective attention, visual vigilance, intrinsic alertness, working memory, and inhibition; episodic memory; and visuospatial processing. Cognitive performance was correlated with olfactory dysfunction and sleep quality, but not with anxiety or depression.Conclusions. Patients with COVID-19 reporting cognitive symptoms showed a reduced cognitive performance, especially in the attention-concentration and executive functioning, episodic memory, and visuospatial processing domains. Future studies are necessary to disentangle the specific mechanisms associated with COVID-19 cognitive dysfunction.
Product Design Cost Estimation for Make-to-Order Industry: A Machine Learning Approach

Field: Computer Science (Physical Sciences)

This research addresses the need for accurate design cost estimation in the Make-To-Order (MTO) industry. The complexity of product customization is key to differentiation. While many studies focus on manufacturing cost estimation, few explore design cost estimation. To improve the accuracy of design cost estimation, this research proposes a new cost driver based on design features available in Computer-Aided Design (CAD) data. The design feature is analyzed to the actual industry cost using machine learning methods, including Artificial Neural Networks (ANNs) and Support Vector Regression (SVR). The cost drivers identified as significant consisted of twenty-six 3D CAD features and four 2D CAD features. The results showed that the ANN models outperformed the SVR models in correctly estimating product design costs, as evidenced by the high R2values in the training and testing phases. The proposed method allows early identification of cost drivers, a significant advantage at the order initiation stage when detailed design features are often ambiguous. The novelty of this research is the use of 3D CAD technology for cost estimation, which quantifies costs based on product design complexity, providing valuable insights into the impact of design adjustments on costs early in the design process. Doi: 10.28991/ESJ-2024-08-03-022 Full Text: PDF
Response on Anonymous Referee #1

Field: Earth and Planetary Sciences (Physical Sciences)

Abstract. Local short-term temperature variations at the surface are mainly dominated by small-scale processes coupled through the surface energy balance terms, which are well known but whose specific contribution and importance on the hourly scale still need to be further analyzed. A method to determine each of these terms based almost exclusively on observations is presented in this paper, with the main objective being to estimate their importance in hourly near-surface temperature variations at the SIRTA observatory, near Paris. Almost all terms are estimated from the multi-year dataset SIRTA-ReOBS, following a few parametrizations. The four main terms acting on temperature variations are radiative forcing (separated into clear-sky and cloudy-sky radiation), atmospheric heat exchange, ground heat exchange, and advection. Compared to direct measurements of hourly temperature variations, it is shown that the sum of the four terms gives a good estimate of the hourly temperature variations, allowing a better assessment of the contribution of each term to the variation, with an accurate diurnal and annual cycle representation, especially for the radiative terms. A random forest analysis shows that whatever the season, clouds are the main modulator of the clear-sky radiation for 1 h temperature variations during the day and mainly drive these 1 h temperature variations during the night. Then, the specific role of clouds is analyzed exclusively in cloudy conditions considering the behavior of some classical meteorological variables along with lidar profiles. Cloud radiative effect in shortwave and longwave and lidar profiles show a consistent seasonality during the daytime, with a dominance of mid- and high-level clouds detected at the SIRTA observatory, which also affects near-surface temperatures and upward sensible heat flux. During the nighttime, despite cloudy conditions and having a strong cloud longwave radiative effect, temperatures are the lowest and are therefore mostly controlled by larger-scale processes at this time.
Factors Determining the Enterprise Resource Planning Project-Success in Small and Medium Enterprises: Evidence from Indian Cases

Field: Business, Management and Accounting (Social Sciences)

2 Abstract: It is common to see more than 60% of Enterprise Resource Planning (ERP) implementation projects exceed timeline and budget because of people related factors than technical reasons There are studies which measure the importance of players and activities across enterprise system life cycle but there is little effort to quantify the overall contribution of each player, also they do not cover different types of users and support groups involved in the projects especially in Small and medium enterprises (SMEs) where knowledge management initiative is lacking.. The present study attempts to quantify the contribution through an empirical research conducted in SME segments of a developing economy like India. A descriptive study conducted in 52 SMEs shortlisted through multistage random sampling and analysed using discriminant analysis. The study develops a model for project-success using seven type of people related factors. It further proves that the group of knowledgeable employees called knowledge power-users in SME segments determines the success of ERP project than other stake holders involved in the ERP implementation.
Farm dairying, a treatise of dairy cattle, their feeding and care, and the handling and disposition of dairy produce on the farm.

Field: Agricultural and Biological Sciences (Life Sciences)

N THIS BOOK, treating of farm dairying, the author has endeavored to present the different phases of the subject in logical sequence.Much study has been given to dividing and systematizing the subject matter and to place the information in as good pedagogical form as possible.These essentials of farm dairying are the results of many years of practical experience on dairy farms, results of study and observations made in the United States and in leading European dairy centers, results obtained from teaching and experimenting at the college with which the author has been connected, and results gathered from leading authorities in this country.I cannot express too much appreciation to my co-workers for their help, and to the various college and experiment station authorities for having supplied the opportunities for securing this valuable information.Though this book is published after the close of the war, it contains much information from pre-war conditions.The cost of feed and labor is much higher now than before the war.The present high scale of prices is not sure to continue, so the author believes that the pre-war data as to prices is more serviceable than if attempts were made to change so as to conform with present and maybe temporary high plane of prices.The author has made it a point to discuss this subject of farm dairying in such a way as to make the book valuable to the practical dairy farmer, as a text for students, and as a convenient reference to anyone interested in the important subject of farm dairying.It is hoped the book will fill a need and give a real service in improving and encouraging the dairy industry.
BH3-only protein mimetic obatoclax sensitizes cholangiocarcinoma cells to Apo2L/TRAIL-induced apoptosis

Field: Pharmacology, Toxicology and Pharmaceutics (Life Sciences)

Abstract Human cholangiocarcinomas evade apoptosis by overexpression of Mcl-1. The drug obatoclax (GX15-070) inhibits antiapoptotic members of the Bcl-2 family including Mcl-1. The purpose of this study is to determine if obatoclax sensitizes human cholangiocarcinoma cells to apoptosis. The human cholangiocarcinoma cell lines, KMCH, KMBC, and TFK, were employed for these studies. Protein expression was assessed by immunoblot and protein-protein interactions detected by coprecipitation of the polypeptide of interest with S-tagged Mcl-1. Activation of Bak and Bax was observed by immunocytochemistry with conformation-specific antisera. Obatoclax induced minimal apoptosis alone; however, it increased apoptosis 3- to 13-fold in all three cancer cell lines when combined with Apo2L/tumor necrosis factor-related apoptosis-inducing ligand (TRAIL). Obatoclax did not alter cellular expression of Bid, Bim, Puma, Noxa, Bak, Bax, Mcl-1, or cFLIP. Mcl-1 binding to Bak was readily identified in untreated cells, and this association was disrupted by treating the cells with obatoclax. Additionally, Bim binding to Mcl-1 was markedly decreased by obatoclax treatment. We also identified alterations in Bak and Bax conformation following treatment with obatoclax plus Apo2L/TRAIL but not with either Apo2L/TRAIL or obatoclax alone. In conclusion, obatoclax releases Bak and Bim from Mcl-1 and sensitizes human cholangiocarcinoma cells to Apo2L/TRAIL-induced apoptosis. Obatoclax is a potentially promising adjunctive agent for the treatment of this cancer. [Mol Cancer Ther 2008;7(8):2339–47]
Performance Evaluation of Dynamic Circuit Specialization on Xilinx FPGAs

Field: Computer Science (Physical Sciences)

Dynamic Circuit Specialization (DCS) is a technique used to optimize FPGA applications when some of the inputs, called parameters, are infrequently changing compared to other inputs. For every change of parameter input values, a specialized FPGA configuration is generated during run time and the FPGA is reconfigured with a specialized bitstream. We examine how the performance of the DCS technique evolves with the advent of newer Xilinx FPGA architectures. The performance of the DCS technique is evaluated on three different Xilinx FPGA architectures: Virtex-II Pro, Virtex-5 and Zynq SoC. We have used a 16-tap, 8-bit FIR filter as a parameterized design, with the filter coefficients as the parameters of the FIR design.
Impact of Amino Acids, Vinasse and Humic Acid as Soil Application on Fruit Quality and Quantaty of " Kalamata " Olive Trees.

Field: Agricultural and Biological Sciences (Life Sciences)

This study was carried out during the two seasons 2013, 2014 on olive trees cv. the trees were 10 years old growing in sandy soil at a private orchard in Ismailia governorate, Egypt. This investigation was performed to study the effect of humic acid as Actosol® (contains 20 % humic acid + NPK 1:5:6) and Greenpower (Vinasse 80%+Soybean amino acid 20%) as soil application under the drippers of each tree at (150, 75 and 50 cm 3 ) from April till June. At the end of the season, yield (kg/tree) and Fruit quality: average fruit size, weight, shape index (length/diameter)and pulp/pit ratio also fruit chemical characterizes: fruit oil and acidity percentage were recorded. The obtained results showed that, Kalamata olive trees received humic acid soil application at 150 cm 3 per tree once at full bloom gained the highest yield (kg/tree) as while as fruit oil rather than dividing humic acid soil application dose into two or three doses. Whereas, fruit physical properties were significantly affected by the source of material (humic acid or Greenpower) as will as number of applications. Generally, humic acid applications were superior in their impact on studied fruit quality parameters than Greenpower, Moreover, humic acid or Greenpower applications at one dose resulted in higher significant values compared with two or three times of application.
The importance of laboratory analyses in unmasking parathyroid adenoma in a patient with breast cancer: a case report of persistent hypercalcaemia with low vitamin D status

Field: Medicine (Health Sciences)

<p><strong>Background:</strong> Parathyroid adenoma is a frequent cause of hyperparathyroidism. Its association with D hypovitaminosis can complicate this pathological state, especially in case of delayed surgical intervention.&nbsp;</p> <p><br /><strong>Case presentation:</strong> This case report presents a 77-year-old female patient with a complex medical history including dyslipidemia, hypertension, who developed primary hyperparathyroidism due to a parathyroid adenoma. The persistent hypercalcemia, elevated parathyroid hormone (PTH), and parathyroid scintigraphy led to the diagnosis, but the low 25-hydroxyvitamin D level complicated the picture. Due to personal decisions and the COVID-19 pandemic, surgery was delayed for six years, resulting in complications such as vitamin D deficiency-induced immunosuppression and osteoporosis. Post-surgical outcomes were favorable, with normalization of biochemical markers and stabilization of comorbid conditions.&nbsp;</p> <p><br /><strong>Conclusion:</strong> This case highlights that timely multidisciplinary management is essential in primary hyperthyroidism, as surgical delay worsens complications, yet parathyroidectomy can still reverse outcomes even after years of progression.&nbsp;</p>
Monitoring and Tracking the Spread of SARS-CoV-2 in Asturias, Spain

Field: Medicine (Health Sciences)

Mutational analysis of SARS-CoV-2 can quantify their relative importance over time, enable the dominant mutations to be identified and facilitate near real-time detection, comparison, and tracking of evolving variants. Collected samples in Asturias an autonomous community of Spain with a large aged population, and high levels of migration and tourism was monitored and tracked from its beginning in February 2020 until its decline and stabilization in August 2021, were characterized using whole genomic sequence and single nucleotide polymorphism. Data held in the GISAID database was analyzed to establish patterns in the appearance and persistence of SARS-CoV-2 strains. Only 138 non-synonymous mutations occurring in more than 1% of the population of SARS-CoV-2 were found, identifying 10 major variants worldwide (7 arose before January 2021), 19 regional and 1 local. In Asturias only 17 different variants were found. After vaccination, no further regional majority variants were found. Only half of the defined variants circulated and no new variants were generated, indicating that infection control measures (fast diagnosis, prevention measures and vaccination) were efficient.
An International View of Surgically Assisted Conception and Surrogacy Tourism

Field: Social Sciences (Social Sciences)

Modern medicine, specifically assisted reproductive technology (ART), has overtaken the law in many jurisdictions around the world. New technologies and practices open a Pandora's Box of ethical, religious, social and legal questions, and may present a variety of significant legal problems to the courts and legislators. Surrogate motherhood and pregnancy through ART have both attracted controversy. Some groups condemn ART and want it banned while its supporters acknowledge there is a need for legislative guidelines and regulations. A proposed statute, the Assisted Reproductive Technique Services Act, aimed at regulating reproductive technologies, including surrogacy arrangements, will be introduced in the Malaysian parliament, probably in 2012, and the Assisted Reproductive Technology (Regulation) Bill 2010 is already before the Indian parliament. This paper will discuss several of the potential socio-legal issues surrounding ART in the light of the complex situation, with a comparative analysis of the Malaysian, USA, UK and Indian positions.
Data collection from mobile phone for personalized behaviour mining (transportation mode)

Field: Computer Science (Physical Sciences)

As humans share an ever increasing amount of location information online through location enabled social networks, an increasing amount of people are looking to stay in control of their own information. The most common method of data collection of oneself is the mobile phone with its ever increasing number of sensors. This report is about the usage of a mobile phone to collect information; specifically location information in order to build personalized models of an individual’s movement patterns and habits. Other information like public transport route data is also used to supplement the models. The models are then used to predict the individual’s location. Three models are built, namely: are a spatial model which had an accuracy of 25%, a spatial-temporal model with an accuracy of 29%, and a public transport analysis model which had an accuracy of 98% in finding possible transport service along a segment of the route 3 stops long.