bluuebunny/crossref_metadata_2025 huggingface dataset:
Simulating with a Combination of RUSLE GIS and Sediment Delivery Ratio for Soil Restoration
Authors: Öztürk Arif , Özcan Ali Uğur , Aytaş İbrahim , Tuttu Gamze , Gülçin Derya , Mongil-Manso Jorge , Rincón Víctor , Velázquez Javier
Published: February 2023

Erosion by water is the main cause of land degradation. Landscapes degraded by erosion need to be restored in many respects, and particularly in terms of ecosystem services. From an economic and management perspective, care is needed to select priority areas and determine the means to be applied to restore them. Globally, the model most commonly used to produce scenarios for the prevention of soil losses is the Revised Universal Soil Loss Equation (RUSLE). This study of the subbasin of the Sulakyurt Dam Basin in Turkey aims (1) to identify the distribution of soil losses over time and by location, and (2) to grade the priority areas for the prevention of soil losses by means of a simulation. The average potential soil losses in the area under study are estimated at 42.35 t ha−1 year−1, and the average actual losses at 39.49 t ha−1 year−1. According to the simulation, 27.61% of the study area (2782 ha) is of the highest priority for soil restoration. In our study, forests have the highest soil losses, which is contrary to the natural protection that forests provide against erosion; however, this is mainly due to topographic aspects that influence soil losses. Of the forest areas, 41.74% (1766 ha) falls within the areas of highest priority. The study serves as a guide for landscape planning and the determination of erosion risk in restoration efforts, and for identifying the methods to be adopted during the restoration work to reduce the loss of soil.
High screen time and internalizing and externalizing behaviours among children aged 3 to 14 years during the COVID-19 Pandemic in France
Authors: Descarpentry Arthur , Melchior Maria , Galera Cédric , Hazo Jean-Baptiste , Falissard Bruno , Warszawski Josiane , Davisse-Paturet Camille , Rouquette Alexandra , group EpiCoV study
Published: February 2023

Objective Children's screen time increased as a result of the COVID-19 pandemic. In summer 2021 we explored the association between high screen time over a period of one year since May 2020 and behavioural problems among children and adolescents.
Methods The data was derived from the French EpiCov cohort study, collected in spring 2020, autumn 2020, and spring 2021. Participants (N=1,089) responded to online or telephone interviews about one of their children aged 3 to 14 years. Screen time was categorized as high if the daily mean screen time exceeded recommendations at each collection time. The Strengths and Difficulties Questionnaire (SDQ) was completed by parents to identify internalizing (emotional or peer problems) and externalizing (conduct problems or hyperactivity/inattention) behaviours in their children.
Results Internalizing behaviours: No interaction was highlighted between children's age and high screen time. High screen time was not associated with internalizing behaviours (OR [95% CI]: 1.20 [0.90-1.59]) while it was associated with peer problems (1.42 [1.04-1.95]).
Externalizing behaviours: there was an interaction of children's age in the relationship between high screen time and externalizing behaviours. High screen time was associated with externalizing problems (1.63 [1.01-2.63]) and conduct problems (1.91 [1.15-3.22]) only among older children aged 11 to 14 years.
Conclusion This study found that persistent high screen time over one year after the onset of the pandemic was associated with peer problems among children aged 3-14 years and externalizing and conduct problems among 11-14-year-olds. Despite this very specific context, exposure to screens is not negligible.
Treatment outcome of patients with co-existing TB and LC: systematic reviews and meta-analysis
Authors: zhang hongjun , li wen-jie , chen yan-wei , chai ya-qin , Zhao Yanjun , Xing Gu
Published: February 2023

Purpose Treatment effect of patients with co-existing tuberculosis (TB) and lung cancer (LC) is still not conclusive. This systematic review and meta-analysis aim to assess treatment regimen, the efficacy and safety of anti-cancer and anti-TB treatment in non-small cell lung cancer (NSCLC) patients with concomitant active TB. Methods A Systematic and comprehensive search was performed in the following databases: PubMed, Embase, and Web of Science, in articles and abstracts published from 1929 to 2022. Eleven articles (involving 809 co-existing TB and LC cases and 10167 LC controls) met the inconclusive criteria. Review Manager version 5.4 software and Stata version 17.0 software were used for this statistical analysis. Results The result of this meta-analysis demonstrates that OS in coexisting pulmonary TB and NSCLC was decreased compared to NSCLC alone (log HR = 1.07, 95% CI = 0.97–1.18, p＜0.001). After removing AEs related to ICI treatment, other AEs of any grade were similar in patients with or without PTB treated with chemotherapy or target drug (log RR = 0.07, 95% CI=-0.04–0.18, p = 0.64, I2 = 0.00%). Timing to anti-cancer therapy: for 39.0% (102/261) of patients, at least 1–4 weeks after the start of anti-TB therapy; for 3.4% (9/261) of patients, at 2 weeks before the start of anti-TB treatment; for 14.6% (38/261) of patients, at received the anti-TB treatment at the same time. Conclusion The result of this meta-analysis demonstrates that OS in coexisting pulmonary TB and NSCLC was decreased compared to NSCLC alone; LC patients with TB receiving first-line chemotherapy or targeted therapy and anti-TB treatment at least 1–4 weeks after the start of anti-TB treatment or at the same time will not increase the incidence of AEs.
Reused LU factorization as a preconditioner for efficient solution of the Parabolized Stability Equations
Authors: Szabó András , Paál György
Published: February 2023

The parabolized stability equation (PSE) is a widely used, efficient method to calculate the evolution of streamwise traveling instabilities in spatially developing, weakly nonparallel flows. Although the PSE method is very economical, computational time can be significant due to the repeated solution of linear systems of equations in each marching step. The linear systems of equations are typically solved by LU factorization due to the moderate size and the sparsity of the coefficient matrices. In this paper, instead of repeated calculation of the LU factorization, a single LU factorization is calculated in each marching step, and used as a preconditioner for an iterative solver. Numerical experiments are conducted on the incompressible PSE, nonlinear PSE (NLPSE) with explicit discretization of the nonlinear terms, and NLPSE with implicit treatment of the nonlinearities. It is shown that the time spent on the solution of the linear systems of equations was reduced by a factor of 2.5, 4.5-7.5, and 20-60 for the three cases, respectively. The methodology can be generalized to the compressible PSE equations, and extended to similar boundary layer stability problems, or slowly varying parabolic partial differential equations.
Blood Pressure Estimation from Photoplythmography Using Hybrid Scattering–LSTM Networks
Authors: Omer Osama A. , Salah Mostafa , Hassan Ammar M. , Sugita Norihiro , Saijo Yoshifumi
Published: February 2023

One of the most significant indicators of heart and cardiovascular health is blood pressure (BP). Blood pressure (BP) has gained great attention in the last decade. Uncontrolled high blood pressure increases the risk of serious health problems, including heart attack and stroke. Recently, machine/deep learning is leveraged for learning the BP from Photoplethysmography (PPG) signals. Hence, continuous BP monitoring can be introduced based on simple wearable contact sensors or even remotely sensed from a proper camera away from the clinical setup. However, the available training dataset imposes many limitations besides the other difficulties related to the PPG time series as high-dimensional data. This work presents beat-by-beat continuous PPG-based BP monitoring while accounting for the aforementioned limitations. For a better exploration of beats’ features, we propose to use wavelet scattering transform as a better descriptive domain to cope with the limitation of the training dataset and to help the deep learning network accurately learn the relationship between the morphological shapes of PPG beats and the BP. Long Short-Term Memory (LSTM) network is utilized to demonstrate the superiority of the wavelet scattering transform over others domains. The learning scenarios are carried out on a beat basis where the input corresponding PPG beat is used for predicting BP in two scenarios; 1) Beat-by-beat arterial blood pressure (ABP) estimation, and 2) Beat-by-beat estimation of the systolic and diastolic blood pressure values. Different transformations are used to extract the features of the PPG beats in different domains including time, DCT, DWT, and wavelet scattering Domains. The simulation results show that using the wavelet scattering domain outperforms the other domains in the sense of root mean square error (RMSE) and mean absolute error (MAE) for both of the suggested two scenarios.
On preferences and reward policies over rankings
Authors: Faella Marco , Sauro Luigi
Published: February 2023

We study the rational preferences of agents participating in a mech- anism whose outcome is a ranking (i.e., a weak order) among participants. We propose a set of self-interest axioms corresponding to different ways for partici- pants to compare rankings. These axioms vary from minimal conditions that most participants can be expected to agree on, to more demanding requirements that apply to specific scenarios.
Then, we analyze all theories that can be obtained by combining the previous axioms and characterize their mutual relationships, revealing a rich hierarchical structure.
After this broad investigation on preferences over rankings, we consider the case where the mechanism can distribute a fixed monetary reward to the participants in a fair way (that is, depending only on the anonymized output ranking). We show that such mechanisms can induce specific classes of preferences by suitably choosing the assigned rewards, even in the absence of tie breaking.
Three-dimensional Evaluations of Preoperative Planning Reproducibility for Osteosynthesis of Distal Humerus Fractures
Authors: Yoshii Yuichi , Iwabuchi Sho , Ikumi Akira , Kohyama Sho , Ogawa Takeshi , Ishii Tomoo
Published: February 2023

Background: Three-dimensional preoperative planning has been applied to the osteosynthesis of distal humerus fractures. The present study investigated the reproducibility of 3D preoperative planning for the osteosynthesis of distal humerus fractures using 3D parameters.
Methods: Twenty-four elbows of 24 distal humerus fracture patients who underwent osteosynthesis with three-dimensional preoperative planning were evaluated. 3D images of the distal humerus were created after taking preoperative CT scans of the injured elbow. Fracture reduction, implant selection, and placement simulations were performed based on 3D images. Postoperative CT images were taken onemonth after surgery. Reproducibility was evaluated with preoperative plans and postoperative 3D images. The longitudinal axis and coordinates of the humerus were defined on 3D images. The coronal angle (CA) was defined as the angle formed by the long axis and the line connecting the medial and lateral margins of the trochlea of the humerus on a coronal plane image. The sagittal angle (SA) was defined as the angle formed by the long axis and the line connecting the top of the lateral epicondyle and the center of the humeral capitellum on a sagittal plane image. The axial angle (AA) was defined as the angle between the sagittal plane and the line connecting the medial and lateral margins behind the trochlea of the humerus. Reproducibility was assessed by the intraclass correlation coefficient (ICC) of each measurement value on preoperative planning and postoperative images.
Results: Preoperative planning and postoperative measurement values were CA: 85.5±6.0°/86.0±5.9°, SA: 141.3±8.3°/140.0±7.5°, and AA: 83.5±3.4°/82.5±5.0°, respectively. ICCs were CA: 0.75 (P<0.01), SA: 0.75 (P<0.01), and AA: 0.40 (P<0.05), respectively.
Conclusions: The 3D preoperative planning of distal humeral fractures achieved the good reproducibility of coronal and sagittal angles, but the relatively poor reproducibility of the axial angle. This may be attributed to an inability to assess the rotation angle during surgery. We propose the measurement indices shown in the present study as a three-dimensional evaluation index for distal humerus fractures.
Trial registration: Registered as NCT04349319 at ClinicalTrials.gov
Identification of oral bacteria in the gut, atherosclerotic plaque, and cultured blood samples of patients with cardiovascular diseases – A secondary analysis of metagenomic microbiome data
Authors: Jayasinghe Thilini N , Chopra Aditi , Franco-Duarte Ricardo , Rajagopal Anjale , Choowong Phannaphat , Soares Pedro , Rito Teresa , Eberhard Joerg
Published: February 2023

Background: Cardiovascular diseases (CVDs) encompass various conditions affecting the heart and its blood vessels. Some CVDs, such as ischemic heart disease, angina, stroke, and atherosclerosis, are often linked with oral microbes. The link between the oral cavity and CVDs is complex. Certain pathogenic oral microbes invade the systemic circulation via bacteraemia or other methods and can significantly increase pro-inflammatory cytokine production. Studies have linked oral microbes, systemic inflammation and immune cross-reactivity in the pathogenesis of atherogenesis. Our secondary data analysis aimed to identify oral bacteria from other non-oral sites (i.e. gut, arterial plaque and cultured blood) that could be linked with CVDs.
Methods: Taxonomic profiling of the entire data set was performed using Kaiju software; bacteria were identified to the species level and compared with the Human Oral Microbiome Database (HOMD). The oral bacteria in the gut, cultured blood and arterial plaque samples were catalogued, with their average frequency calculated for each sample. Additionally, data were filtered by comparison with the Human Microbiome Project (HMP) database.
Results: We identified 17,243 microbial species, of which 410 were present in the HOMD database and further denominated as “oral”. When considering identifications at the species level, all 410 different oral bacterial species were found in at least one gut sample, but only 221 and 169 species were identified in the cultured blood and plaque samples, respectively. Of the 410 species, 153 were present solely in oral-associated environments after comparison with the HMP database, irrespective of their presence in other body sites. The oral bacterial phyla Actinobacteria, Bacteroidetes, Firmicutes, Fusobacterium, Proteobacteria, Spirochetes, Synergistetes and Tenericutes were identified in all three sample types (faeces, arterial plaque and cultured blood) of patients with CVDs. Streptococcus salivarius species was identified as the highest-represented species in the faeces samples. Cutibacterium acnes and Lactobacillus crispatus were found at the highest frequency in cultured blood and plaque samples, respectively.
Conclusion: Oral bacteria related to gingival and periodontal disease can be identified in the faeces, arterial plaque and blood samples of patients with CVDs. Identifying these oral bacterial species in nonoral sites of patients with CVDs would explore the link between oral health and general health, including diseases of the cardiovascular system via bacterial translocation.
Association of Fibrinogen Levels with Sudden Sensorineural Hearing Loss Incidence and Prognosis: a Meta-Analysis
Authors: Bhattarai Abhinav , Tharu Sunraj , Sunar Pritam Singh , Shayaju Nischal , Poudyal Bikash , Chaudhary Anand , Khanal Pitambar , Sah Sanjit Kumar , Khanal Surendra , Shah Sangam
Published: February 2023

Objective
This meta-analysis aimed to obtain the pooled estimate of fibrinogen levels in SSNHL cases and investigate its association with patient prognosis and recovery.
Data sources
We searched the databases PubMed, medRxiv, and Google Scholar for all relevant literature published until August 1, 2022.
Review methods
The primary objective of the meta-analysis was to assess the association of fibrinogen with the risk of SSNHL and recovery. The search results were screened and selected for review on the basis of eligibility criteria. SSNHL patients were defined as cases and healthy individuals as controls. Data on the level of fibrinogen in SSNHL and controls, as well as recovered and the non-recovered group were subjected to a meta-analysis on Review Manager Version 5.4.1 using a random and fixed-effects model. The pooled estimate was expressed as standardized mean difference (SMD) and forest plots were generated for interpretation
Results
Fourteen studies with a total of 2,077 participants fulfilled the eligibility. The overall risk of bias was moderate. The blood level of fibrinogen was significantly higher in SSNHL patients as compared to controls [SMD = 0.35; 95% CI = 0.04–0.67; p = 0.03]. Likewise, the recovered group had significantly lower fibrinogen prior to treatment as compared to the non-recovered group [SMD= -0.36; 95% CI= -0.58 to -0.14; p = 0.001].
Conclusion
Higher fibrinogen levels were observed in SSNHL patients as compared to controls. Recovered patients had a lower fibrinogen level.
CNN based pulmonary nodule segmentation using lung-range-standardization
Authors: O Chung-Hyok , Ri Jong-Hyok , Om Chol-Nam
Published: February 2023

Lung cancer is one of the most fatal disease with high lethality. In general lung cancers are diagnosed by radiologists. But checking radiological image is a very toilsome work for radiologists because it requires long time practice and high concentration. So, many computer-aided diagnosis (CAD) systems were introduced to cooperate with radiologists and nowadays lots of CAD systems based upon deep learning exceed human experts in diagnosing accuracy. And the remarkable thing is that the much of progress has been made in designing architectures. But, in this paper, a new pre-processing method (lung-range-standardization) is proposed in order to improve the general accuracy of lung-related diagnosis systems and to increase the utility of LIDC dataset. And the efficiency of the proposed pre-processing method is validated through comparison between the nodule segmentation model trained using lung-range-standardization and the nodule segmentation model, which is trained without lung-range-standardization.
Cytokine levels in patients with non-M3 myeloid leukemia are key indicators of how well the disease responds to chemotherapy.
Authors: Hu Rui , Ling Xiaosui , Yang Tonghua , Zhang Jinping , Gu Xuezhong , Li Fan , Chen Heng , Wen Yan , Li Zengzheng , Zou Yunlian , Du Yunyun
Published: February 2023

Acute myeloid leukemia (AML) is a malignant hematological neoplastic disease. Autocrine or paracrine cytokines released by leukemic cells regulate the proliferation of AML cells. It is uncertain whether cytokines can indicate whether patients with AML are in remission with chemotherapy. The goal of this study was to evaluate the levels of Th1/Th2/Th17 cytokines in AML patients before and after chemotherapy to determine whether the cytokine levels could predict disease remission after chemotherapy. It was found that the levels of IL-5, IL-6, IL-8, IL-10, TNF-α, TNF-β, IL-17F, and IL-22 were significantly increased at the time of AML diagnosis in patients who achieved remission after two chemotherapy treatments (P < 0.05). After chemotherapy, the cytokine levels were reduced in patients with remission, while the levels of IL-6 and IL-8 were raised in patients without remission (P < 0.05). A comparison of cytokine levels before and after chemotherapy in patients who achieved remission showed areas under the curve (AUCs) of 0.69 for both IL-6 and IL-8. In addition, a comparison of the remission and non-remission groups after chemotherapy showed an AUC of 0.77 for IL-6. We then calculated the cut-off value using receiver operating characteristic (ROC) curves. Values of IL-6 < 9.99 and IL-8 < 8.46 at the time of diagnosis were predictive of chemotherapy success and remission, while IL-6 >14.89 at diagnosis suggested that chemotherapy would not be successful and remission would not be achieved. In conclusion, IL-6 levels were found to be predictive of the likelihood of remission.
WITHDRAWN: Leadership and Employee’s Turnover
Authors: Josquar Amilea
Published: February 2023

This research represents present intellectual in the developing field of Leadership. For this present research two leadership styles are used, Responsible Leadership and Servant Leadership on Employee Turnover Intentions. The focus of this paper is to study the relationship between leadership styles and incoming turnover intentions. To complete this study total of 121 employee’s data were collected from seven pharmaceutical companies of Himachal Pradesh India. ANOVA technique and descriptive used as statistical techniques. The study suggests the presence of a substantial relationship amongst responsible leadership and servant leadership with turnover intentions. Hence, it is concluded that responsible leadership and servant relationship plays a negative significant role in employee’s turnover intention.
Antecedents and Role of Trust in Chatbot Use Intentions: An Indian Perspective
Authors: Dawar Sunny , Savita Panwar Savita Panwar , Dhaka Sunishtha , Kudal Pallavi
Published: February 2023

The digital age has changed the way businesses are run today. Technology is not just a priviledge but also a necessity. The recent pandemic has given important lessons to business to be proactive and advanced in technology. Customers occupy the centrestage in any business and giving them solutions promptly for their queries can leave a positive impression and lead to long term customer enagagment. For this, a trained team of employees are required who can give their services incessantly. However, the rising employee retention costs have impacted the profit margins of organisations and more human intervention becomes a hurdle in standardization of processes. Therefore, organisations are roping in artificial intelligence to be more efficient and cost effective. Chatbots are artificial intelligence softwares that have enabled organisations to give answers to customer queries online. The study intends to examine the significant factors in determining customers’ intentions to use chatbots. This paper aims to understand the role of user experience, performance expectancy, effort expectancy, and trust in customer chatbot use intentions from the Indian point of view. A structured questionnaire was utilized to gather data for testing the proposed model, which was conceptualized based on extant literature on technology acceptance and consumer behavior. A survey response of 354 respondents was taken. In order to test the constructs, the collected data was analyzed through AMOS 21. The research findings depicted the positive impact of user experience, trust performance expectancy, and effort expectancy on customer intention to use chatbots, which influences actual usage. This paper empirically demonstrates the relationship among various variables affecting customer intentions to use chatbots. Since the paper uses data collected from a sample not randomly selected, it may regulate the generalization of the results. This study intends to add to the current research gap in the existing literature about customer intention to use chatbots, mainly in the Indian context. The research examined how positive user experience, performance, effort expectancy, and trust affect customer intentions to take support from chatbots.
Brussels Sprout Cultivar Performance and Response to Apical Meristem Removal
Authors: Grube Sideman Rebecca , Roman Caterina , Hodgdon Elisabeth
Published: February 2023

We compared the performance of Brussels sprout (Brassica oleracea var. gemmifera) cultivars in New Hampshire and evaluated the effects of topping (apical meristem removal) on marketable yields. A total of 23 cultivars were evaluated in the study, with 8 to 16 cultivars evaluated in any given year. We identified several cultivars that produced moderate to high yields of well-spaced, uniform sprouts that had few Alternaria blight (Alternaria sp.) symptoms, and identified many others, including all red cultivars evaluated, that produced very low yields consistently. In 2013, 2014, and 2015, we used a replicated split-plot experimental design with cultivar as the main plot and topping treatment as the subplot, to evaluate the effects of topping plants. Early and midseason cultivars showed increased yields in response to topping, unless topping was performed too early. Cultivars with sprouts that did not reach marketable size within our growing season generally produced low yields, and topping had no effect on yields. To explore the effects of topping at different dates, we evaluated three cultivars on seven different topping dates plus an untopped control in 2015 and 2017. In addition to reducing stalk height by limiting late-season growth, topping affected marketable yields by affecting the number of sprouts that were either undersized or oversized. The ideal topping date window for minimizing defects and maximizing yields varied slightly for each cultivar, ranging from early to late September.
DIGITAL STORYTELLING TO SUPPORT YOUNG LEARNERS’ ENGLISH VOCABULARY DEVELOPMENT
Authors: Maya Lailatul , Sumarni Sri , Suseno Muchlas
Published: February 2023

Due to the explosive growth of technology, teachers are required to integrate technology into the classroom to engage learners who are regarded as digital natives. Digital storytelling can be an alternative medium for vocabulary learning. This case study examined how young learners perceived the implementation of digital storytelling during vocabulary learning. In-depth interviews and closed-ended questionnaires were employed to investigate the use of digital storytelling in the classroom. The sample of the study recruited 23 fifth-grade learners from an elementary school in Tuban, East Java. The qualitative data from the interviews and questionnaires of the young learners revealed that they considered digital storytelling more engaging, fascinating, and motivating for improving their vocabulary development. As a result, EFL teachers are recommended to deliver appropriate digital storytelling to young learners in order to teach vocabulary and support their vocabulary development.
A REVIEW OF ANTI-VEGF AGENTS FOR PROLIFERATIVE DIABETIC RETINOPATHY
Authors:   Junior Resident, Department of Ophthamology,Government Medical College and Hospital, Aurangabad., S. Ghaytadak Avinash , G. Choudhary Kashinath ,   Head of Department, Department of Ophthamology,Government Medical College and Hospital, Aurangabad.
Published: February 2023

Diabetic retinopathy (DR) is commonly known among diabetic patients, which causes blindness. Proliferative diabetic retinopathy (PDR) and macular edema are the most common complications of DR that adversely impact the vision. Many observational and preclinical studies have implicated vascular endothelial growth factor (VEGF) in the pathogenesis of DR, and recent successes with anti-VEGF therapy for age-related macular degeneration (AMD) have prompted research into the application of anti-VEGF drugs to DR. Here we review the numerous early studies that suggest an important potential role for anti-VEGF agents in the management of diabetic retinopathy.
Load quantification and effect evaluation of urban non-point source pollution in the Licun River based on SWAT model
Authors: Zhang Minghui , Wang Lin , Huang Xuda , Yu Zhonghua
Published: February 2023

With the gradual control of point source pollution, the impact of urban nonpoint source pollution on river water quality is becoming more prominent. Regarding the current problem that nonpoint source pollution loads in urban basins are difficult to quantify and the impact on water quality is difficult to analyze, the Licun River basin in Qingdao was selected as the research object. Through the field survey and surface accumulation sampling analysis of the basin, the evaluation model of urban nonpoint source pollution was constructed by revising the land type data of the basin and the urban database of the SWAT model. The results showed that concentration of nitrate in precipitation was most sensitive to the simulation of nitrogen loading; organic P in baseflow was most sensitive to the simulation of phosphorus loading. The Nash–Sutcliffe efficiency coefficient (ENS) and the coefficients of determination (R2) of the SWAT model for runoff, total phosphorus (TP), and total nitrogen (TN) in the simulation validation period meet the model requirements,indicating a good model fit. In addition, the spatial and temporal distribution characteristics of urban nonpoint source pollution of TN and TP in 2021 were analyzed. In July, rainfall-runoff from the Licun River basin was the most polluted.
Finanzas públicas y construcción estatal en la provincia de San Luis a fines del período rosista (1840-1850)
Authors: Harari Emilio Fabián , Ibach Hemann Günter
Published: February 2023

El estudio de la trayectoria de los estados provinciales entre 1820 y 1880 resulta crucial para comprender la dinámica de un período considerado hasta hace poco como de «transición». Este artículo tiene como objetivo reconstruir la estructura estatal de una provincia no estudiada hasta el momento: San Luis. Para ello, se toman dos variables significativas: la estructura de ingresos y gastos estatales y la construcción material del Estado en la provincia. Los datos arrojan una excesiva dependencia puntana de los fondos de Buenos Aires y una construcción estatal muy precaria, lo que obligaría a limitar, para este caso y en este período, la hipótesis sobre la «autonomía» de estas formaciones políticas.
Marea y movimientos: cuando la acumulación de conflictos territoriales alcanza resultados políticos limitados. El caso de Chiloé, Chile
Authors: Delamaza Escobar Gonzalo Antonio , Arriagada Evelyn , Cortez Mauricio
Published: February 2023

El estudio de las consecuencias políticas de los conflictos socioterritoriales ha privilegiado las categorías de efectos «acumulativos» y «combi-nados». El caso del archipiélago de Chiloé muestra un tipo de acumulación diacrónica de conflictos desde inicios del siglo XXI. Ello se combina con factores asociados al ciclo salmonero –actividad productiva dominante–, a la institucionalidad y al momento político. De acuerdo con la teoría, el caso sería considerado favorable a las consecuencias políticas transformadoras. Pero el artículo plantea que, aunque la acumulación no difiere de la de otros territorios, variables contextuales, como la naturaleza de las alianzas políticas y la mantención/defensa del proyecto público privado tras la industria salmonera, dificultan tanto la articulación efectiva de nuevos actores como el cambio político para enfrentar las raíces del conflicto. De este modo, se concluye que los resultados políticos alcanzados son limitados o de menor alcance al esperable, y se ofrecen nuevos elementos que enriquecen el modelo original de consecuencias políticas.
Contribución de la educación privada a la segregación escolar en Perú
Authors: Carrillo Sandra , Murillo F. Javier
Published: February 2023

Esta investigación tiene como objetivo determinar el aporte de las escuelas no estatales a la segregación escolar por nivel socioeconómico en el Perú y sus departamentos. Para ello, hace una explotación de los micro­datos de la Evaluación Censal de Estudiantes para 2.º de secundaria, de tal forma que se trabaja con 631 013 estudiantes de secundaria, distribuidos en 17 310 servicios educativos en los 25 departamentos. Se encontró una mayor segregación en el grupo de estudiantes de menores recursos, en cuanto a los servicios educativos no estatales; mientras que, para los de mayores recursos, la segregación es mayor en los servicios estatales, aunque esta segregación es considerablemente menor. En ambos grupos, se encontraron diferencias importantes entre los departamentos del país.
Migraciones y crisis. Los factores coyunturales en el arribo de suizos a la Argentina (1856-1939)
Authors: Zang Laura Mabel
Published: February 2023

El artículo analiza las migraciones de suizos hacia Argentina entre la segunda mitad del siglo XIX y la primera mitad del siglo XX. Se examinan los diversos factores coyunturales que propiciaron la movilidad de personas desde el país europeo hacia diversos lugares de América y en especial de Argentina. Para ello, por un lado, aborda la situación de Suiza durante los siglos XIX y XX y su configuración como país expulsor de población, y, por el otro, estudia los mecanismos implementados por Argentina para la atracción de inmigrantes. Al mismo tiempo, la continui­dad del movimiento migratorio en el período de entreguerras –Misiones fue principal escenario receptor en esta etapa– se debió a la adopción de políticas migratorias restrictivas por otros países hasta ese entonces receptores de inmigrantes.
Sustentabilidad de parcelas con frutales Amazónicos en Loreto, Perú
Authors: Guerra-Teixeira Aldi Alida , Alegre-Orihuela Julio César , Vásquez-Guerra Alida Ivelice
Published: February 2023

La investigación tuvo por objetivos: a) Determinar los indicadores de diversidad en vegetación de los frutales amazónicos y diversidad de artrópodos del suelo en las parcelas de agricultores que fueron instalados por el INIA e IIAP en el área de influencia de la carretera Iquitos – Nauta, Loreto. b) Determinar el secuestro de carbono en parcelas con frutales amazónicos en el área de influencia de la carretera Iquitos – Nauta, Loreto. c) Evaluar la sustentabilidad económica, ecológica y social de las parcelas con frutales amazónicos en el área de influencia de la carretera Iquitos – Nauta, Loreto. El área de estudio en la región Loreto – Perú, se encuestó a 37 agricultores. El indicador alfa de diversidad en la vegetación, alcanzó el valor del índice 2.07 y el índice de artrópodos fue de 1.91. Los mayores valores de carbono (C) en la biomasa se encontró en el frutal de guaba (Inga edulis Mart.) en la parcela 17, con una reserva total de carbono de 90 t·ha-1 y con valor de flujo de CO2 de 22 t·ha-1·a-1. La asociación de uvilla (Pouroma cecropiifolia Mart.) con pijuayo (Bactris gasipaes Kunth) captó en total 117.19 t·ha-1 con un flujo de CO2 de 33.42 t·ha-1·a-1. La mayor acumulación de C en el suelo fue en la parcela 23 con 66.5 t·ha-1, reduciendo la emisión de CO2 en 243.84 t·ha-1·a-1. Las evaluaciones de sustentabilidad en la dimensión económica alcanzaron el valor de 3.20, la dimensión ecológica alcanzó el valor de 3.33 y la dimensión sociocultural alcanzó el valor de 2.04. Se concluye que los frutales amazónicos son sustentables en la dimensión económica y ecológica. Sin embargo, en la dimensión sociocultural presenta sustentabilidad débil.
Acute Right Ventricular Failure: Pathophysiology, Diagnostic Approach with Emphasis on the Role of Echocardiography
Authors: Tun Han Naung , Almaghraby Abdallah , Kavalerchyk Vladyslav , Muraru Denisa , Soliman-Aboumarie Hatem , Abdelnabi Mahmoud
Published: February 2023

Right ventricular function is one of the important predictors of survival in heart failure patients. In the past, there has been only limited knowledge regarding right-sided heart failure when compared to left-sided failure. However, there are more emerging data in recent years, and several studies have emphasized the unique features of the right ventricle regarding its anatomy, pathophysiology, clinical consequences, diagnostic modalities, and treatment options. Despite that, management of acute right ventricular failure is still challenging. This article summarizes an overview of acute right heart failure including pathophysiology, causes, clinical features, and diagnostic work-up with emphasis on the role of echocardiography.
Screening for Gestational Diabetes; Can Apelin Help?
Authors: Salman Dina Akeel , Hussein Zina Abdullah , Eimad Taif , Nori Wassan
Published: February 2023

Background:

Gestational diabetes (GDM) is a pregnancy-related endocrinopathy. Its etiology
is not well understood. Obesity and insulin resistance coexist in GDM. Apelin is an adipocytokine
secreted by fatty cells and expressed in many organs; it can modulate blood glucose. According to research,
apelin levels are higher in obese and type 2 diabetes patients. We aimed to examine the value
of serum apelin as a reliable marker for GDM at 24-28 weeks of pregnancy.

Methods:

A case-control study recruited 120 pregnant women in an age range of 20-40 years with a
singleton pregnancy at 24-28 weeks of pregnancy; all were matched in BMI and gestational age. They
are divided into 2 groups: 60/120 GDM cases based on the International Association of Diabetes and
Pregnancy and 60/120 matched controls at a gestational age of 24-28 weeks at Al-Yarmouk Teaching
Hospital. Demographics data, serum biochemical permeates including HbA1c, fasting blood sugar
(FBS), fasting insulin level, 1 h plasma glucose, and 2 h plasma glucose, following a 75-gram glucose
loading, and a fasting insulin level were recorded.A case-control study recruited 120 pregnant women in an age range of 20-40 years with a
singleton pregnancy at 24-28 weeks of pregnancy; all were matched in BMI and gestational age. They
are divided into 2 groups: 60/120 GDM cases based on the International Association of Diabetes and
Pregnancy and 60/120 matched controls at a gestational age of 24-28 weeks at Al-Yarmouk Teaching
Hospital. Demographics data, serum biochemical permeates including HbA1c, fasting blood sugar
(FBS), fasting insulin level, 1 h plasma glucose, and 2 h plasma glucose, following a 75-gram glucose
loading, and a fasting insulin level were recorded.

Results:

None of the demographic criteria were significant between the two groups at P < 0.05. FBS,
fasting insulin, OGTT-1 and 2 hours, HbA1c, and serum apelin were significantly higher in GDM cases
with P < 0.0001. Pearson's correlations show that Apelin has a statistically significant correlation
with BMI, FBS, fasting insulin, OGTT-1 and 2 hours, and HbA1c, with r = (0.34, 0.71, 0.65, 0.72, and
0.63) and P < 0.0001. ANOVA confirmed an insignificant effect of BMI centile on serum apelin, P <
0.072. ROC estimated the apelin cut-off at > 11.3 (ng/l), associated with 84% sensitivity and 100%
specificity, P < 0.001.

Conclusion:

Strong and significant apelin correlations with parameters for screening GDM make it a
valuable marker, especially when its levels are unaffected by body mass index. Further studies are
recommended to unveil therapeutic avenues for apelin.
Preganglionic Injury of C8 Nerve Root Secondary to Shoulder Disloca
tion: Diagnosis based on MRI Findings
Authors: Veloza María José , Useche Juan Nicolás , Muñoz Sonia Bermúdez , Vásquez Ricardo , Cardona Ortegón José David
Published: February 2023

Introduction:

Traumatic spinal root injury caused by shoulder dislocation may involve the
brachial plexus or, in some cases, a single nerve. The degree of severity of the injury depends on many
patient-specific factors as well as the mechanism of injury. It is essential to suspect this type of lesion
by means of a thorough physical examination in order to have better patient outcomes.

Case Presentation:

We presented the subtle magnetic resonance imaging (MRI) findings in a 35-yearold
male with left shoulder trauma and dislocation after falling off a bicycle. He complained of decreased
muscle strength and sensitivity in the C8 dermatome. Atrophy of the hypothenar region and
flexion deformity of the 4th and 5th digits were noted. Magnetic resonance imaging findings were consistent
with a partial preganglionic C8 motor root lesion. We found T2 increased signal intensity and
thinning of the intradural segment of the C8 motor nerve root and low signal in the sequence of a multi-
echo gradient recalled echo (GRE).

Conclusion:

MRI is a noninvasive tool that allows a detailed anatomical characterization of the nerves.
In brachial plexus injuries, the use of the GRE sequence is useful to identify the lesions, even if they
are subtle; however, some lesions may go unnoticed. It is important to note that these patients require
an interdisciplinary group to reach a correct diagnosis, which is vital to establish the appropriate treatment
and follow-up.
“SADIQ FILTER” FOR DETECTING TRUE DAWN TO DETERMINE THE BEGINNING OF FAJR PRAYER
Authors:   Universitas Brawijaya, Kariimah Niswatul , Masdar Mahasin Muhammad . ,   Universitas Brawijaya
Published: February 2023

Astrophotography and image processing techniques were introduced as a solution to the problem of determining the beginning dawn time. The results of some research were different with Ministry Religion Affairs and raise doubts for some Muslims then need to require re-verification. Astrophotography, a special method of photography, is recording images of astronomical objects such as the moon, stars, and other celestial bodies. The astrophotography technique is used for the object of the emergence of dawn rays with the assumption that the image before and after the appearance of dawn will have different pixel values. Then, a combination of astrophotography and image processing techniques is used to analyze pixel changes to identify the beginning of dawn. The image processing technique used is edge detection. Edges correspond to changes in pixel intensity. The easiest way to detect the beginning of dawn is to apply a filter that highlights this change in intensity in both directions: horizontal (x) and vertical (y). An edge detection filter "sadiq filter" is modeled as a result of the development of the Sobel and canny filters. Sadiq filter has been applied to the dawn data in Labuan Bajo and can distinguish the image before and after dawn well. It is hoped that the "sadiq filter" can be developed into a filter from an application or software so that it can be used by the wider community to solve the problem of determining the early morning prayer time. An edge detection filter "sadiq filter" is modeled as a result of the development of the Sobel and canny filters. Sadiq filter has been applied to the dawn data in Labuan Bajo and can distinguish the image before and after dawn well. It is hoped that the "sadiq filter" can be developed into a filter from an application or software so that it can be used by the wider community to solve the problem of determining the early morning prayer time. An edge detection filter "sadiq filter" is modeled as a result of the development of the Sobel and canny filters. Sadiq filter has been applied to the dawn data in Labuan Bajo and can distinguish the image before and after dawn well. It is hoped that the "sadiq filter" can be developed into a filter from an application or software so that it can be used by the wider community to solve the problem of determining the early morning prayer time.
STRUCTURAL STRENGTH ON COLD-FORMED STEEL FRAME WITH SHEATHED WALLS VOID SUBJECTED TO LATERAL LOAD TEST
Authors:   Department of Civil Engineering, Faculty of Engineering, University of Brawijaya, 65415, Malang, Indonesia, Insan Firdausy Ananda , Waluyohadi Indra , Arifi Eva
Published: February 2023

As a country prone to earthquake disasters, seismic-resistant building design in Indonesia is one of important key in minimizing the impact of losses due to the damage caused. In building construction, innovation using cold-formed steel material is currently growing rapidly because of its advantages, such as very light weight, low prices, and practicality in assembly. For this reason, this experimental research focuses on the utility of cold-formed steel as a building frame using a variety of sheathed wall panel materials. The purpose of the study is to observe the structural strength of cold-formed steel frames with void panel walls subjected to seismic lateral loads. Two types of panel materials are commonly used, namely plywood and fiber cement board (FCB) which are installed on one side with the same thickness on the column of the frame test specimens. From the test results, the usage of sheathed wall panels in the cold-formed steel frame structure can increase its maximum lateral load capacity. The larger the area of the wall panels used, the greater the maximum load that can be resisted. Both of tangent stiffness and secant stiffness, the greater area of sheathed walls used will increase the shear stiffness of frame specimens. For all specimens, the FCB specimens have higher structural strength than frame with plywood sheathed walls.
EXPLORING THE CONCEPTUAL MODEL OF PUBLIC PRIVATE PARTNERSHIP FOR LOCAL TOURISM DEVELOPMENT
Authors:   Faculty of Administrative Science, University of Brawijaya, Malang, East Java, Indonesia, Dwi Anggoro Damas
Published: February 2023

The concept of Public Private Partnerships (PPPs) has been accepted as one of viable alternative to promote the infrastructure development. Yet, recently some of government institutions have been applied PPPs for developing local tourism site for their region. The situation is going to be more complex when the PPPs deal with some non-physical attributes and generate several shortcomings. Therefore the need of specific model to cover PPPs as the concept and tourism development as its substance is become essential. This research attempts to explore the model by using a specific review toward the recent literatures and theories. It is conducted by contextual approaches intended to adjust with Indonesian tourism development. The result of this research has described the specific model which is constructed from the series of literature discussion from previous studies. It has designed to minimize the weakness and vulnerable points from PPPs for tourism development.
DEVELOPMENT OF LOCAL FOOD PRODUCTS MADE FROM TILAPIA FISH POST COVID-19 PANDEMIC IN SENGGRENG VILLAGE, SUMBER PUCUNG DISTRICT, MALANG REGENCY
Authors:   Faculty of Animal Science, Brawijaya University, Malang, 65145, East Java, Indonesia, Febrianto Nanang
Published: February 2023

The Covid-19 pandemic has become a problem for the community so that efforts need to be made to increase income for the community. In facing the global crisis due to the Covid-19 pandemic, business actors (both large and small and medium enterprises) can survive by taking advantage of existing opportunities. One of the efforts made is community empowerment in Senggreng Village, Sumber Pucung District, Malang Regency as one of the villages in the tilapia fish farming area. Community empowerment is carried out with several stages, starting from strengthening the community, visiting the community, conducting training, and mentoring. The processed tilapia fish produced are creamy tilapia curry and tilapia nuggets. The impact of this activity is to increase knowledge, business motivation, and market networks to increase the income for the fish processing community. Moreover, this activity also creates processed food products made from tilapia fish in Malang Regency.