bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of Renal Pathology Predictors in Tender-Age Infants: Cohort Study
Authors: Safina Elena V. , Plotnikova Inga A. , Zelentsova Vera L. , Myshinskaya Olga I. 
Published: February 2023

Background. The early onset of nephropathies creates certain risk of early chronic kidney disease development with loss of function (especially in children with unfavorable intrauterine period), renal tissue dysplasia, congenital malformations and/or urodynamic disorders.Objective. The aim of the study is to evaluate the role of ontogenesis factors in nephropathies development in tender-age infants with specification of the course features and kidneys morphometric parameters.Methods. Cohort study was conducted. The study group included 69 children aged from 0 to 36 months with changes in the kidneys (compared to age-specific ones) according to ultrasound and/or urinary syndrome (leukocyturia, bacteriuria, proteinuria, etc.). The control group included 35 relatively healthy children of the same age. Comparative analysis of antenatal and postnatal medical history was carried out in both groups, as well as comparison of morphometric indicators of the urinary system organs at neonatal ultrasound screening. Pathological process onset was also considered in the group of children with nephropathies. The study was conducted during 2018–2021.Results. Possible predictors of pathology process in children with early onset of nephropathies are: 1) maternal diseases: urinary system disorders (OR = 4.99), blood pathology, mainly anemia of the 2nd–3rd grade (OR = 6.94), cardiovascular system diseases (OR = 10.26), inflammatory diseases of genital tract (OR = 10.61); 2) pregnancy failures: gestational diabetes mellitus (OR = 7.24), preeclampsia and eclampsia (OR = 4.40); placental pathology (OR = 17.0), and fetoplacental insufficiency (OR = 7.61); 3) feeding features: early conversion to breast-milk substitutes (OR = 2.81). 50.7% of children of this group has shown persistent urodynamic disorders already at first months of life according to ultrasound data, as well as signs of bloated kidneys. It was shown that the inflammatory process manifestation associated with aggravated perinatal history and congenital defects occurs significantly earlier — 2 months, and without any defects — 4 months (p = 0.004).Conclusion. Burdened antenatal and neonatal medical history has negative effect on the morphogenesis of the urinary system organs and creates conditions for early nephropathies development during the first months of life.
The Effects of Testosterone and Transcutaneous Muscle Stimulation on Strength and Muscle Mass in Myotonic Dystrophy
Authors: Bhai Salman , Lizarraga Alexis , McCreary Morgan , Kolkin Seth , Kissel John , Barohn Richard 
Published: February 2023

In myotonic dystrophy type 1 (DM1) quadriceps weakness often results in severe functional limitations and genu recurvatum. To improve quadriceps strength the effects of isometric tetanic contractions using transcutaneous muscle stimulation (TMS) and testosterone enanthate (TE) were assessed. Ten DM1 subjects underwent unilateral TMS 6 hours per day for 14 days. The stimulated leg was randomly assigned and sham stimulation was done on the opposite leg by transcutaneous nerve stimulation. Muscle mass was estimated by cross-sectional area computed tomography and strength was measured by Cybex ergometry. Following the initial TMS period, 8 of 10 subjects were given a 12-week course of TE (3 mg/kg/wk) followed by 14 days of TMS. Neither TMS nor TE improved strength. Following 12 weeks of TE, there was an average increase in muscle mass of at least 8.7 +/- 1.6 cm2. These findings are consistent with the TE—increased muscle mass in DM1 as measured by creatinine clearance and total body potassium. The dissociation of mass and strength following TE and the failure of exercise to improve strength may have significance in characterizing the muscle defect in DM1.
Design and Analysis of High Speed Multiply and Accumulation Unit for Digital Signal Processing Applications
Authors: Jahan Kausar , Kalyani Pala , Sai V Satya , Prasad GRK , Inthiyaz Syed , Ahammad Sk Hasane 
Published: February 2023

Unit for Digital Signal Processing Applications

Kausar Jahan1, Pala Kalyani2, V Satya Sai3, GRK Prasad4, Syed Inthiyaz5, Sk Hasane Ahammad6
1Department of ECE, Dadi Institute of Engineering and Technology
Anakapalle, Andhra Pradesh, India
2Department of ECE, Vardhaman College of Engineering
Kacharam, Shamshabad, India
3Department of ECE, Koneru Lakshmaiah Education Foundation
Guntur, India-522502
4Department of ECE, Koneru Lakshmaiah Education Foundation
Guntur, India-522502
5Department of ECE, Koneru Lakshmaiah Education Foundation
Guntur, India-522502
6Department of ECE, Koneru Lakshmaiah Education Foundation
Guntur, India-522502

Abstract—The fundamental component used in many of the Digital signal Processing (DSP) applications are Multiply and Accumulation Unit (MAC). In the literature, a multiplier consists of greater number of full adders and half adder in partial product reduction stage, which increases the hardware complexity and critical path delay to MAC unit. To overcome this problem, two novel multipliers are proposed in this article. The proposed multipliers are designed and implemented in hardware, which reduces the circuit complexity and improves the overall performance of the MAC unit with less delay. The proposed multipliers are compared with the 4-bit existing designs and observed that the number of slices Look Up Tables (LUTs) are minimized from 113 to 43, Slices are reduced from 46 to 14, Full Adders (FAs) are lessened from 28 to 23, bonded Input Output Blocks (IOBs) and Half Adders (HAs) were not altered. The time delay is reduced from 14.251ns to 7.876ns. The proposed multipliers are compared in the literature with the 8-bit multiplier, then the number of Slice LUTs are reduced from 510 to 231, Slices are reduced from 218 to 113, FAs are reduced from 120 to 110, HAs are reduced from 56 to 39, time delay is reduced from 26.228ns to12.748ns, but bonded IOBs count remains same. The synthesis and simulations results are verified by using Xilinx ISE 14.7 version tool.
Taṭwīr Kurāsah al-Tadrībāt li Ta‘līm Mahārah al-Kalām al-Mabniyyah ‘alā Mahārāt al-Tafkīr al-‘Ulya (HOTS) fi al-Madrasah al-Ismlāmiyyah al-Hukūmiyyah 1 Pati
Authors: Ni'mah Ellayus Lailatun , Sa'adah Hadiatus , Nurhadi Nurhadi , Hilmi Danial 
Published: February 2023

<p><em>This research aims to: (1) develop a LKS based on higher-order thinking skills (HOTS), (2) determine the validity of the LKS developed by experts, and (3) measure the effectiveness of its use in MTs 1 Pati. The research methodology used in this research is research and development (R&amp;D) with the Borg and Gall development model developed by Sugiyono, using qualitative (observation and interview) and quantitative (questionnaire and test) data, the population of this research is seventh grade students MTsN 1 Pati with two groups (35 from the control group and 35 from the experimental group). As for the results of this research and development, they are: (1) the production of a LKS for teaching speaking skill based on HOTS; 2) The developed LKS is suitable and valid for use in teaching speaking skill; 3) The developed LKS is “effective” for students in view of the results of the pre-test and the post-test that the value of “t” calculation (t-hitung) is greater than the value of “t” table (t-tabel) means 544.3 &gt; 042,2 At the significance level of 5%, it means H0 is acceptable, and there is an effect of teaching speaking skill.</em></p><br /><div id="gtx-trans" style="position: absolute; left: 258px; top: 21.2083px;"> </div>
Prácticas sobre la gestión de residuos orgánicos e inorgánicos procedentes de la agricultura: el proyecto Recicland
Authors: García García María del Carmen , Granados García María Rosa , Samblás Punzano Encarnación , Talavera Rubia Miguel , Soriano Vallejo María Teresa , Segura Pérez María Luz , Sayadi Gmada Samir , Parra Gómez Salvador , Janssen Dirk , Medrano Cortés Evangelina , Fernández Fernández María Milagros , De Cara García Francisco , Baeza Cano Rafael , Torres Nieto José Manuel , Carricondo Martínez Isidoro , Téllez Navarro María del Mar 
Published: February 2023

La agricultura protegida que se desarrolla principalmente en el litoral oriental andaluz es una actividad de gran importancia económica y social para Andalucía. Sin embargo, el crecimiento exponencial de la superficie de invernadero ha dado lugar a un incremento del volumen de residuos agrarios. Además, este sistema agrícola está evolucionando hacia nuevas técnicas de cultivo que implican, no sólo la generación de residuos, sino también una mayor diversificación que hace más complicada su gestión.
El principal problema para la gestión de estos residuos agrarios no está sólo en su dispersión geográfica, sino también en su estacionalidad, ya que se genera gran cantidad en determinados periodos anuales, coincidiendo con la finalización de las campañas agrícolas. Por este motivo, la capacidad máxima de recogida y almacenamiento y el proceso de gestión están condicionados por el volumen generado al finalizar los ciclos de cultivo.
En este contexto, surge el proyecto RECICLAND que pretende palear dichos problemas y contribuir a la gestión sostenible de los residuos generados en los procesos productivos. Concretamente, el objetivo general de este proyecto es desarrollar actividades demostrativas piloto, informando de modo práctico sobre diferentes técnicas para la gestión específica de residuos inorgánicos y restos vegetales. Para ello, se ha establecido un área de reciclaje, junto con actividades de transferencia (jornadas prácticas, visitas, vídeos demostrativos y publicaciones) en el Centro IFAPA La Mojonera (Almería).
Biorizon Biotech, I+D biotecnologíca y bioeconomía circular como palanca de crecimiento
Authors: Pozo Dengra Joaquín 
Published: February 2023

Una población mundial creciente, las cada vez más exigentes demandas de los consumidores, el cambio climático, la estrategia europea del “Pacto Verde” y los Objetivos de Desarrollo Sostenible marcados por Naciones Unidas, nos empujan a buscar modelos de producción agrícola sostenible, rentable y productiva.
Biorizon Biotech nace como compañía biotecnológica centrada en la producción de soluciones naturales bioestimulantes y bioprotectores, basadas en el uso de microalgas y bacterias como materia prima natural y de valor, convirtiéndose en la pionera mundial y líder de mercado en la producción y comercialización de productos para la agricultura basados en microalgas.
Como estrategia de respuesta ante el reto de una nueva y moderna agricultura sostenible, Biorizon Biotech ha basado su desarrollo en una I+D intensiva centrada en el desarrollo de procesos de economía circular, nuevos productos sustitutivos de químicos en agricultura y el uso de herramientas naturales para la mejora de la productividad.
El ecosistema para la Bioeconomía en Argentina: experiencia Rosario
Authors: Acetta Patricia Melina , Gonzalez De Cap Sol , Brenes Porras Celestina , Chavarría Miranda Hugo 
Published: February 2023

Argentina cuenta con un gran potencial para adoptar una estrategia basada en bioeconomía, ya que representa una oportunidad para retomar la senda de crecimiento, incrementando al mismo tiempo la eficiencia y la sostenibilidad de sus sectores productivos.
Si bien este país presenta una larga trayectoria en la temática, aún quedan algunos desafíos por resolver, en este sentido, y con el objetivo de apoyar la formación de capacidades técnicas que permitan construir políticas, proyectos e inversiones para la bioeconomía, el Ministerio de Educación argentino y el Instituto Interamericano de Cooperación para la agricultura (IICA) se unieron para dictar el curso de posgrado internacional “Bioeconomía para la Agroindustria y los Territorios Rurales: buenas prácticas y lecciones aprendidas”. El curso concluyó con una gira a campo en la ciudad de Rosario, uno de los polos de innovación bioeconómica más importante de toda América.
Este artículo, se pretende profundizar en el análisis del ecosistema bio argentino, con foco en la experiencia de Rosario para finalmente apuntar los retos y oportunidades para el aprovechamiento de la bioeconomía en la región.
UroAngel: a single-kidney function prediction system based on computed tomography urography using deep learning
Authors: Zheng Qingyuan , Ni Xinmiao , Wu Jiejun , Jiao Panpan , Yang Rui , Yang Song , Wang Lei , Chen Zhiyuan , Liu Xiuheng 
Published: February 2023

Abstract
Purpose
Accurate estimation of the glomerular filtration rate (GFR) is clinically crucial for determining the status of obstruction, developing treatment strategies, and predicting prognosis in obstructive nephropathy (ON). We aimed to develop a deep learning-based system, named UroAngel, for non-invasive and convenient prediction of single-kidney function level.
Methods
We retrospectively collected computed tomography urography (CTU) images and emission computed tomography diagnostic reports of 520 ON patients. A 3D U-Net model was used to segment the renal parenchyma, and a logistic regression multi-classification model was used to predict renal function level. We compared the predictive performance of UroAngel with the Modification of Diet in Renal Disease (MDRD), Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equations and two expert radiologists in an additional 40 ON patients to validate clinical effectiveness.
Results
UroAngel based on 3D U-Net convolutional neural network could segment the renal cortex accurately, with a Dice similarity coefficient of 0.861. Using the segmented renal cortex to predict renal function stage had high performance with an accuracy of 0.918, outperforming MDRD and CKD-EPI and two radiologists.
Conclusion
We proposed an automated 3D U-Net-based analysis system for direct prediction of single-kidney function stage from CTU images. UroAngel could accurately predict single-kidney function in ON patients, providing a novel, reliable, convenient, and non-invasive method.
Risk Factors for Hamstring Strain Injury in Male College American Football Players -A Prospective Cohort Study-
Authors: Mizutani Yuri , Taketomi Shuji , Kawaguchi Kohei , Takei Seira , Yamagami Ryota , Kono Kenichi , Kage Tomofumi , Sameshima Shin , Inui Hiroshi , Fujiwara Sayaka , Tanaka Sakae , Ogata Toru 
Published: February 2023

Abstract

Background Given the frequency of hamstring strain injuries (HSI) among male college American football players, several studies have attempted to determine whether certain risk factors that can predict their occurrence. However, no consensus has yet been reached on predictive risk factors for hamstring strain injuries in male college American football players. This study aimed to clarify risk factors for HSI prospectively in college male American football players. Methods A total of 78 male college American football players, whose positions were limited to skill positions, were medically assessed for potential risk factors of HSI. The preseason medical assessment included anthropometric measurements, joint laxity and flexibility, muscle flexibility, muscle strength, and balance ability. Results HSI occurred in a total of 25 thighs from 25 players (32.1%). Injured players had significantly lower hamstring flexibility (p = 0.02) and hamstring to quadriceps strength ratio(H/Q) (p = 0.047) compared to uninjured players. Additionally, injured players had significantly lower general joint laxity scores, especially for the total (p = 0.04), hip (p = 0.007), and elbow (p = 0.04) scores, compared to uninjured players. Conclusions Lower hamstring flexibility, lower hamstring to quadriceps strength ratio, and lower general joint laxity score were identified as risk factors for HSI in male college American football players placed in skill positions. These findings could be useful in preventing HSI among such players.
Hand Twelve Jing-Well Points Exercise on Subthreshold Depression College Students: Study Protocol for a Randomized Controlled Trial
Authors: Li Mengfan , Song Ruiwen , Wang Yidan , Zhang Jian , You Jing , Zhang Mengxi , Cao Tianhui , Guo Yi , Wang Shenjun , Zhao Meidan 
Published: February 2023

Abstract
Introduction: Depression seriously affects the health of people all over the world. At the early stage of depression, subthreshold depression is very important for early prevention and treatment of depression. The hand twelve Jing-well points exercise is traditional Chinese therapy for acupoint stimulation. We designed a parallel randomized clinical trial to observe the intervention effect of hand twelve Jing-well points exercise on subthreshold depression in college students.
Methods: This is a randomized, parallel controlled clinical trial. Sixty-two eligible participants will be randomly assigned to the intervention group or the waiting-list control group according to the ratio of 1: 1. The intervention group will be received hand twelve Jing-well points exercise for 16 weeks. The waiting-list control group will not receive the intervention and participants will be taught the hand twelve Jing-well points exercise after the experiment. The main outcomes are Self-rating Depression Scale and Beck Depression Inventory-II, and the secondary outcomes are Pittsburgh Sleep Quality Index, reward processing cognitive behavioral data and functional Near-Infrared Spectroscopy data, which will be detected at baseline, 4 weeks and 16 weeks after the intervention.
Discussion: A randomized controlled trial will be conducted to assess the effectiveness of hand twelve Jing-well points exercise on patients with subthreshold depression so as to provide evidence for further promoting subthreshold depression management.
Trial registration: Chinese Clinical Trial Registry, Registration number :ChiCTR2100052960;Registered on November 6th, 2021.
Consistent Individual Tendencies in Motor Speed-Accuracy Trade-Off
Authors: Pacheco Matheus M. , Lafe Charley W. , Chen Che-Hsiu , Hsieh Tsung-Yu 
Published: February 2023

Abstract
The literature of Speed-Accuracy Trade-Off (SAT) in motor control has evidenced individuality in the preference to trade different aspects (mean, variance) of spatial and temporal errors. Nonetheless, to the best of our knowledge, how robust this preference is has not been properly tested. Thirty participants performed nine conditions with different time and spatial criteria over two days (scanning). In-between these scanning conditions, individuals performed a practice condition that required modifications of the individuals’ preferences in SAT. Through Bayesian analyses, we found that, despite individuals demonstrating changes during practice, decreasing movement time, they did not modify how they performed the scanning conditions. This is evidence for a robust SAT individual tendency. We discuss how such individuality could modify how individuals perform within/between SAT criteria, and what this means for interpretation of results.
Understanding preferences for night trains and their potential to replace flights in Europe. The case of Sweden.
Authors: Curtale Riccardo , Larsson Jörgen , Nässén Jonas 
Published: February 2023

Abstract
Possible strategies to mitigate the climate impact of tourism transport include encouraging tourism to closer destinations and supporting more sustainable modes of transport, including trains. Today international trips by railways only have a small market share but night trains are considered an important part of a future green Europe. However, little is known about travelers’ preferences for night trains for long-distance travel in Europe. The results of an integrated choice and latent variable model (ICLV) applied to stated preference (SP) data collected from 1,691 residents of Sweden show that, depending on place of origin in Sweden, in response to a set of innovations, including reduced travel time emanating from ongoing infrastructure investments, and the introduction of new, more comfortable trains, the share of plane users willing to switch to night trains to Central Europe could reach 20-30% and to Southern Europe, 6-10%.
Osteoporosis and Osteopenia in Young Adults with Spinal Cord Injury: The Necessity of an Early Bone Mineral Density Checkup
Authors: Kim Onyoo , Lee Ahry 
Published: February 2023

Abstract
Study design
Retrospective cross-sectional study
Objectives
To identify the prevalence and risk factors for low bone mass (LBM) in young adults with spinal cord injury (SCI).
Setting
National Rehabilitation Center in Seoul, Korea
Methods
This study targeted patients with SCI aged 20–49 years hospitalized from January 2010 to October 2021. Bone mineral density was assessed using dual-energy X-ray absorptiometry of the lumbar spine, femoral neck, and total hip.
Results
Osteopenia was diagnosed in 451 patients (58.2%), and osteoporosis was diagnosed in 156 (20.1%) of 775 patients. Among 181 patients with time from injury within 3 months, 105 (58%) and 20 (11%) were diagnosed with osteopenia and osteoporosis, respectively. Additionally, the percentage of LBM increased significantly as the time from injury increased. On multivariate analysis, the risk factors for LBM in patients with acute SCI within 12 months of onset were age (odds ratio [OR]=1.04; 95% confidence interval (CI), 1.01 to 1.07; p=0.005), female sex (OR=2.49; 95% CI, 1.34 to 4.46; p=0.002), and body mass index (OR=0.86; 95% CI, 0.81 to 0.92; p<0.001). Furthermore, alcohol or smoking history, etiology of injury, neurological level of injury, completeness of injury, and the Korean version of the spinal cord independence measure-III score were not significantly correlated with LBM.
Conclusions
The prevalence of osteopenia and osteoporosis is high in young adults with SCI. In addition, the diagnosis rate is high in the test performed at the initial stages after injury. Therefore, early bone health monitoring should be performed in young adults with SCI.
Battle royale optimizer for multi-level image thresholding
Authors: Akan Taymaz , Oliva Diego , Marco Perez-Cisneros , Feizi-Derakhshi Ali-Reza , Feizi-Derakhshi Amir-Reza , Bhuiyan Mohammad Alfrad Nobel 
Published: February 2023

Abstract
Segmentation is an essential step of image processing that directly affects its success. Among the methods used for image segmentation, histogram-based thresholding is prevalent. Two well-known approaches to histogram-based thresholding are Otsu’s and Kapur’s methods in grey images that maximize the between-class variance and the entropy measure, respectively. Both techniques were introduced for bi-level thresholding. However, these techniques can be expanded to multilevel image thresholding. For this to occur, a large number of iterations are required to account for exact threshold values. To this end, various optimization techniques have been used to overcome this drawback. Recently, a new optimization algorithm called Battle Royal Optimizer (BRO) has been published, which is shown to solve various optimization tasks effectively. In this study, BRO has been applied to yield optimum threshold values in multilevel image thresholding. Here is also demonstrated the effectiveness of BRO for image segmentation on various images from the standard publicly accessible Berkeley segmentation dataset. We compare the performance of BRO to other state-of-the-art optimization-based methods and show that it outperforms them in terms of fitness value, Peak-Signal to Noise Ratio (PSNR), Structural Similarity Index Method (SSIM), Feature Similarity Index Method (FSIM), Color FSIM (FSIMc) and Standard Deviation (SD). The results of the proposed technique suggest that BRO is a promising approach for solving image segmentation tasks.