bluuebunny/crossref_metadata_2025_split huggingface dataset:
Interpretable Machine Learning Prediction of Drug-Induced QT Prolongation: Electronic Health Record Analysis
Authors: Simon Steven T , Trinkley Katy E , Malone Daniel C , Rosenberg Michael Aaron 
Published: December 2022

Background
Drug-induced long-QT syndrome (diLQTS) is a major concern among patients who are hospitalized, for whom prediction models capable of identifying individualized risk could be useful to guide monitoring. We have previously demonstrated the feasibility of machine learning to predict the risk of diLQTS, in which deep learning models provided superior accuracy for risk prediction, although these models were limited by a lack of interpretability.

Objective
In this investigation, we sought to examine the potential trade-off between interpretability and predictive accuracy with the use of more complex models to identify patients at risk for diLQTS. We planned to compare a deep learning algorithm to predict diLQTS with a more interpretable algorithm based on cluster analysis that would allow medication- and subpopulation-specific evaluation of risk.

Methods
We examined the risk of diLQTS among 35,639 inpatients treated between 2003 and 2018 with at least 1 of 39 medications associated with risk of diLQTS and who had an electrocardiogram in the system performed within 24 hours of medication administration. Predictors included over 22,000 diagnoses and medications at the time of medication administration, with cases of diLQTS defined as a corrected QT interval over 500 milliseconds after treatment with a culprit medication. The interpretable model was developed using cluster analysis (K=4 clusters), and risk was assessed for specific medications and classes of medications. The deep learning model was created using all predictors within a 6-layer neural network, based on previously identified hyperparameters.

Results
Among the medications, we found that class III antiarrhythmic medications were associated with increased risk across all clusters, and that in patients who are noncritically ill without cardiovascular disease, propofol was associated with increased risk, whereas ondansetron was associated with decreased risk. Compared with deep learning, the interpretable approach was less accurate (area under the receiver operating characteristic curve: 0.65 vs 0.78), with comparable calibration.

Conclusions
In summary, we found that an interpretable modeling approach was less accurate, but more clinically applicable, than deep learning for the prediction of diLQTS. Future investigations should consider this trade-off in the development of methods for clinical prediction.
How COVID-19 Affected the Journal Impact Factor of High Impact Medical Journals: Bibliometric Analysis
Authors: Delardas Orestis , Giannos Panagiotis 
Published: December 2022

Background
Journal impact factor (IF) is the leading method of scholarly assessment in today’s research world, influencing where scholars submit their research and where funders distribute their resources. COVID-19, one of the most serious health crises, resulted in an unprecedented surge of publications across all areas of knowledge. An important question is whether COVID-19 affected the gold standard of scholarly assessment.

Objective
In this paper, we aimed to comprehensively compare the productivity trends of COVID-19 and non–COVID-19 literature as well as track their evolution and scholarly impact across 3 consecutive calendar years.

Methods
We took as an example 6 high-impact medical journals (Annals of Internal Medicine [Annals], The British Medical Journal [The BMJ], Journal of the American Medical Association [JAMA], The Lancet, Nature Medicine [NatMed], and The New England Journal of Medicine [NEJM]) and searched the literature using the Web of Science database for manuscripts published between January 1, 2019, and December 31, 2021. To assess the effect of COVID-19 and non–COVID-19 literature in their scholarly impact, we calculated their annual IFs and percentage changes. Thereafter, we estimated the citation probability of COVID-19 and non–COVID-19 publications along with their rates of publication and citation by journal.

Results
A significant increase in IF change for manuscripts including COVID-19 published from 2019 to 2020 (P=.002; Annals: 283%; The BMJ: 199%; JAMA: 208%; The Lancet: 392%; NatMed: 111%; and NEJM: 196%) and to 2021 (P=.007; Annals: 41%; The BMJ: 90%; JAMA: 6%; The Lancet: 22%; NatMed: 53%; and NEJM: 72%) was seen, against non–COVID-19 ones. The likelihood of highly cited publications was significantly increased in COVID-19 manuscripts between 2019 and 2021 (Annals: z=3.4, P<.001; The BMJ: z=4.0, P<.001; JAMA: z=3.8, P<.001; The Lancet: z=3.5, P<.001; NatMed: z=5.2, P<.001; and NEJM: z=4.7, P<.001). The publication and citation rates of COVID-19 publications followed a positive trajectory, as opposed to non–COVID-19. The citation rate for COVID-19 publications peaked by the second quarter of 2020 while that of the publication rate approximately a year later.

Conclusions
The rapid surge of COVID-19 publications emphasized the capacity of scientific communities to respond against a global health emergency, yet inflated IFs create ambiguity as benchmark tools for assessing scholarly impact. The immediate implication is a loss in value of and trust in journal IFs as metrics of research and scientific rigor perceived by academia and society. Loss of confidence toward procedures employed by highly reputable publishers may incentivize authors to exploit the publication process by monopolizing their research on COVID-19 and encourage them to publish in journals of predatory behavior.
Implementasi dan Analisis Performa Protokol Message Queuing Telemetry Protocol Jaringan Smart Farming Pada Budidaya Jamur Tiram Dengan Memanfaatkan Internet Of Things
Authors: Sidiq Rilo Pambudi  , Alif Subardono  
Published: December 2022

Abstract – The development of technology, gives many effects for human life. Many things can be controlled automatically and remotely. Internet of Things is as one of technology development which can be a solution to make human life easier. Internet of Things can also be used in agriculture sector and smart farming.
Oyster growth is very affected by temperature and humidity. The temperature needed for growing of oyster is 24-28 Celsius degree. The use of Internet of Things is needed to monitor, take care and increase the productivity. Implementation of Smart Farming in agriculture sector, such as the using of protocol Message Queuing Telemetry Transport (MQTT) as a media of data traffic among censor, server and receiver of data. Message Queuing Telemetry Transport (MQTT) as protocol which can work as real time and work in low bandwidth, so the traffic of data works smoothly although in low bandwidth
Keywords: Internet Of Things , Smart Farming, MQTT, QoS

Intisari – Perkembangan teknologi memberikan banyak dampak pada kehidupan manusia. Banyak hal dapat dikontrol otomatis dari jarak jauh. Internet of Things (IoT) sebagai teknologi yang dapat menjadi solusi untuk mempermudah pekerjaan manusia. Internet of Things (IoT) dapat digunakan pula di bidang pertanian atau perkebunan pintar (Smart Farming).
Tanaman Jamur Tiram sangat dipengaruhi oleh temperatur dan kelembaban. Kondisi udara saat pertumbuhan Jamur Tiram berada pada suhu 24-28 derajat Celcius. Penggunaan Internet of Thing (IoT) di bidang pertanian dapat mendukung pemantauan, perawatan dan meningkatkan produktifitas. Penerapan Smart Farming di bidang pertanian salah satunya dengan menggunakan protocol Message Queuing Telemetry Transport (MQTT) sebagai sarana lalu lintas data antara sensor, server dan penerima data. Message Queuing Telemetry Transport (MQTT) merupakan protocol yang dapat bekerja secara realtime dan dapat bekerja pada bandwidth yang rendah, sehingga lalu lintas data tetap lancar walaupun menggunakan bandwidth yang rendah.
Kata Kunci : Internet Of Things , Smart Farming, MQTT, QoS
BCI-Based Smart Room Control using EEG Signals
Authors: Amanuel Oger Zaya , Alazzawi Yarub 
Published: December 2022

In this paper, we implement and examine a Simulink model with electroencephalography (EEG) to control many actuators based on brain waves. This will be in great demand since it will be useful for certain individuals who are unable to access some control units that need direct contact with humans. In the beginning, ten volunteers of a wide range of (20-66) participated in this study, and the statistical measurements were first calculated for all eight channels. Then the number of channels was reduced by half according to the activation of brain regions within the utilized protocol and the processing time also decreased. Consequently, four of the participants (three males and one female) were chosen to examine the Simulink model during different actions. The model contained: input signals, data selection according to the activation regions in the brain, features extraction, classification according to the frequency ranges of each action, and an interface with an embedded system to control the actuators.
The effects of Pilates on pain, functionality, quality of life, flexibility and endurance in lumbar disc herniation
Authors: Taşpınar Gülşan , Angın Ender , Oksüz Sevim 
Published: December 2022

Aim:
To assess the effects of clinical Pilates exercises (CPE) on the level of pain, functional status, flexibility, static and dynamic endurance of the trunk muscles and quality of life (QoL) in patients with lumbar disc herniation.
Materials & methods:
Individuals were divided into two groups: the CPE (6 weeks, three-times a week) group (n = 27) and the control group (n = 27). The clinical outcome measures were the visual analog scale for the evaluation of the pain intensity, Oswestry disability index for functional disability, short form-36 for health related QoL, sit and reach and hand finger floor distance test for the flexibility, side-bridge and sit-ups test for the static and dynamic endurance.
Results:
At the end of the 6 weeks the amount of decrease in the level of pain and Oswestry disability index, amount of increase in sit-reach test and hand-finger-to-floor distance, duration of the lateral bridge and sits-ups test and most of the short form-36 sub parameters was significantly higher (p < 0.05) in the CPE group.
Conclusion:
CPE was an effective and safe method for symptomatic patients with lumbar disc herniation in reducing the pain level and functional disability and improving flexibility, static and dynamic endurance and partially their QoL.

Clinical Trial Registration
:
NCT03198273
(
ClinicalTrials.gov
).
O DIÁLOGO PRESENTE ENTRE MÚLTIPLOS OBJETOS DE PESQUISA
Authors: Moreira Maria Cristina do Amaral 
Published: December 2022

Toda vez que escrevo um editorial fico pensando o que os textos aqui apresentados nos trazem de presente, comum e, também diferente. Embora o pano de fundo das pesquisas na área de Ensino seja o diálogo entre os múltiplos objetos de pesquisas, assim como questões teórico-metodológicas variadas é bem evidente que essa área de pesquisa aumentou e variou muito seus escopos filosóficos. Embora, em se tratando de conhecimento o ideal seria não haver uma fronteira clara entre as variadas áreas do conhecimento, mas que sejam nítidos os diálogos possíveis voltados para o Ensino. Se pensarmos que no início das pesquisas da área de Ensino (antes 46) ou pelo menos desde quando a memória nos permite recuperar, a ideia de ensinar, e de ensinar ciências sempre se preocupou com uma epistemologia interdisciplinar, além de estar associada à sala de aula. Não que essas preocupações não estejam presentes hoje em dia, mas avançamos bastante em relação às ideias mais pragmáticas do ensino, ampliando o limite imposto pela própria atividade “aula”, apostamos mais nas interdisciplinas, nas questões metodológicas, na relação teoria e prática entre outros.
Growth, yield and chemical composition of eggplant ‘Ciça’ under potassium fertigation
Authors: De Almeida Monaco Kamila , Baptista Borelli Aline , Biscaro Guilherme Augusto , Motomiya Anamari Viegas de Araujo , Zomerfeld Patricia dos Santos 
Published: December 2022

The objective of this work was to evaluate the effect of potassium concentrations applied via fertigation on the growth, yield and chemical composition of eggplant ‘Ciça’ in a distroferric red Latosol. The treatments were composed of five concentrations of K2O (0, 36, 72, 108 and 144 kg ha-1 supplied via fertigation), using potassium chloride as a source, divided into six applications. The irrigation system was of the drip type and irrigation management was done via a “Class A” evaporometer tank. Harvest started at 62 days after transplanting (DAT) and lasted for five months. The variables evaluated were: plant height, number of leaves, fresh fruit mass, number of fruits per plant, yield per plant, productivity and classification of the fruits according to their length and diameter. At 85 DAT, fruit were collected for characterization as to the percentage of lipids, proteins and fibers. Although the potassium fertigation in cover provided a reduction in the production and productivity, the concentrations of 36 kg ha-1 and 72 kg ha-1 of K2O applied via fertigation, increased the physical-chemical characteristics of the fruits.
Postharvest ripening of Hass and Méndez avocado fruit cultivars treated with ethephon
Authors: Rosas Flores Nallely , Saucedo Veloz Crescenciano , Saucedo Reyes Daniela , Jiménez Alfredo López , Valle Guadarrama Salvador , Ramírez Guzmán Martha Elva , Chávez Franco Sergio Humberto 
Published: December 2022

A problem in post-harvest of avocado (Persea americana Mill.) is the heterogeneity in fruit ripening, due to differences in the time of fruit set and the inability to ripen on the tree, a situation that causes inconsistencies in quality and differences in the response to preservation and processing technologies. In postharvest, the application of ethylene gas in hermetic chambers has been used to advance ripening; however, the use of ethylene releasers in liquid form (ethephon) has been proposed as an alternative, mainly for the treatment of low volumes of fruit. The present work was carried out in the production zone of Salvador Escalante (Michoacán, Mexico) with the objective of evaluating the effect of the application of two concentrations of ethephon on the time and homogenization of fruit ripening of avocado cultivars (cv.) Hass and Méndez. Fruits with 23.4% (cv. Hass) and 24% (cv. Méndez) of dry matter were harvested; one group was immersed in a solution of ethephon 500 mg/L and the other in 1,000 mg/L, both for 5 minutes; the treated fruits plus a control were stored at 20 °C for 11 days. Changes in respiration, ethylene production, weight loss, firmness, epicarp and pulp color, total phenol, chlorophyll and total carotenoid concentrations were evaluated. The results showed that ethephon doses of 1,000 mg/L in cv. Hass and 500 mg/L in cv. Méndez presented a ripening process 2 days earlier than the control.
The effects of different storage temperatures combined with heat treatment on cucumber’s quality and physiological and biochemical indexes
Authors: Zhao Yuxuan , Zhang Min , Jiang Xue , Hao Shuang , Hu Junru , Li Jiale , Gai Xiaoyang 
Published: December 2022

The effects of different storage temperatures (2, 4 and 8 ℃) and their corresponding optimal heat treatment conditions on the quality, physiological and biochemical indexes of Cucumber Fruits during storage were studied by using the quadratic regression orthogonal rotation combination design. The effects of different storage temperatures (2, 4 and 8 ℃) and their corresponding optimal heat treatment conditions on the chilling injury, hardness, weightlessness rate, polyphenol oxidase (PPO), catalase (CAT), peroxidase (POD), H2O2, super oxygen anion free radical (O2-), ASA and GSH were determined. The results showed that heat treatment could inhibit chilling injury, while heat treatment combined with 4 ℃ low temperature storage could effectively inhibit the decline of fruit hardness and weight loss rate, delay the increase of peroxidase (POD) and polyphenol oxidase (PPO) activities, inhibit the increase of H2O2 and superoxide anion free radical O2- and significantly inhibit the browning of cucumber, delay the decline of ascorbic acid and maintain the content of GSH, it was beneficial to adjust the balance of active oxygen system. The results showed that under the storage condition of 4 ℃, the hot water treatment condition of cucumber was 39.4 ℃ and 24.3 min, which could delay the senescence of cucumber fruit and better maintain the quality of cucumber fruit.
Phytosociological study of weeds associated with carrot crops in two municipalities of Boyacá
Authors: Córdoba-Patiño Luís David , Pinzon-Sandoval Elberth Hernando 
Published: December 2022

With the purpose of knowing the phytosocilogy of weeds associated to a carrot crop (Daucus carota L.) under conditions of the municipalities of Ventaquemada and Jenesano-Boyacá, one lot per municipality destined to carrot cultivation was selected and a W-shaped layout was made covering an area of 500 m2. Relative density, relative frequency, relative dominance and the importance value index (IVI) were calculated, as well as the Alpha and Beta diversity indices for the sampled areas. A total of 6 families and 11 species were counted, of which 63.64% were represented by annual plants and 36.36% by perennial plants. The class Liliopsida (Monocotyledon) was represented by the Poaceae family. The Magnoliopsida class (Dicotyledon) was represented by the following families: Asteraceae, Brassicaceae, Boraginaceae, Leguminosaceae, Polygonaceae, the last one being the one with the highest number of species. The species R. crispus and P. nepalense were the ones with the highest values of Importance Value Index (IVI) with 0.953 and 0.959, respectively. According to the Shannon-Wiener diversity and Simpson’s dominance indices, the evaluated areas presented a low species diversity and a high probability of dominant species. The results obtained can serve as a basis and tool for carrot growers in the evaluated areas to define management plans for the associated weeds and thus optimize yields in this crop.
Selection criteria for tomato lines with defined growth habit
Authors: Burbano-Erazo Esteban , Pastrana-Vargas Iván Javier , Mejía-Salazar Julián Roberto , Vallejo-Cabrera Franco Alirio 
Published: December 2022

Introduction: The selection of genotypes with determinate growth habit in tomato should contemplate adequate selection criteria to increase the efficiency of the breeding program. Objective: The objective of this work was to estimate selection criteria for “chonto” type tomato lines with determined growth habit. Materials and methods: This work was carried out at the Universidad Nacional de Colombia (Palmira Campus), in 2016, with seven lines with determinate growth habit and a control with indeterminate growth. Heritability in a broad sense (h2 g), coefficient of environmental variation, coefficient of genetic variation, selection efficiency and genetic gain were determined in parameters of morphological, phonological, fruit quality, fruit shape and production, using the RELM/BLUP procedure of the SELEGEN software. Results: There were three ranges of h2 g, the first with values of h2 g greater than 0.76, the second between 0.53 and 0.38, and the third with a value less than 0.38. The highest values of h2 g were for final plant height with 0.92, plant height at harvest with 0.88, yield per plant with 0.83, days to flowering with 0.83, number of fruits per plant with 0.82, and days to harvest with 0.82. For genetic gain it was found that the control had the highest values for final plant height, plant height at harvest, internode length, days to harvest, harvest duration, soluble solids content, number of fruits per plant, fruit weight and yield per plant; however, in some parameters such as height and phenology for selection by determined growth habit, the lowest values were better. Conclusion: There was evidence of genetic parameters that could be considered as selection criteria for “chonto” type tomato lines with determinate growth habit.
Use of fuzzy logic to optimize fertilizer application on radish
Authors: Zullo Godinho Emmanuel , De Lima Caneppele Fernando , Gasparotto Hélio Vagner 
Published: December 2022

The objective of this study was to develop a model based on fuzzy rules to evaluate the effects caused by varying the dosages of two soil fertilizers (mineral and organic) on root diameter. Fuzzy logic is a method that presents a language, more appropriate to day-to-day life, as the sky is a bit cloudy. For the input variables of this system the mineral and an organic fertilizer were used, for the output the root diameter, in cm. After optimization of the input rules, it can be seen that for the application of the fertilizers (mineral and organic) the best dosages were from 15 to 60 and 20 to 60 g·m-2, respectively. With this application of fuzzy rules in real data, it is possible to take these benefits to those involved in the production chain of radish, resulting in a reduction in the dosages of products and improving its final profitability.
Effect of biochar amendment and nitrogen fertilization on soil CO2 emission during spring period
Authors: Kotuš Tatijana , Horák Ján , Drgoňová Katarína 
Published: December 2022

Abstract
Biochar application to agriculture soil has been recommended as a strategy to reduce increasing CO2 emission in the atmosphere and mitigate climate change. In this study, we evaluated the impact of two doses of biochar (10 and 20 t.ha−1) applied in 2014 and reapplied in 2018 combined with three fertilization levels (N0, N1, N2) on carbon dioxide emissions and selected physical and chemical soil properties in field conditions during spring season (April–June) in 2020. The field site is situated in the Nitra region of Slovakia (Malanta). The soil in the field was classified as a silt loam Haplic Luvisol. In this field research it was found that biochar application mostly in all treatments decreased cumulative CO2 emissions in rage from 4.2% to 30.4% compared to controls (B0N0, B0N2), except treatments where biochar was applied with lower level of N-fertilizer (N1) and treatment B20N0. According to our study results, it was confirmed that biochar can be a promising material for improving soil physical and chemical properties. Mainly, it has very good impact on soil pH, even after seven years of field experiment established. However, the response of soil CO2 fluxes to biochar application were regulated mainly by experiment length, biochar application rate, biochar properties, giving a new perspective for more comprehensive understanding on biochar.