bluuebunny/crossref_metadata_2025 huggingface dataset:
Perception with Artificial Intelligence of the health risk of riverside farmers who use pesticides
Authors: Silverio Astrid Merino , Cunha Maristela Casé Costa , de Andrade Wbaneide Martins , Pinheiro Patricia Barros , Prado Rafael Jorge , Simplício Luane dos Santos dos Santos
Published: June 2023

The excessive use of pesticides in Brazilian agribusiness poses significant health risks, particularly to rural communities. To address this issue, it is crucial to implement a comprehensive program of toxicology studies and workforce qualification, ensuring proper monitoring and minimizing health hazards. This research aimed to assess the perception of health risks associated with pesticide use among riverside farmers in the municipalities of Petrolina (PE) and Juazeiro (BA). Between January and July 2022, a data collection was conducted involving a homogeneous sample of 60 farmers from each municipality. Semi-structured interviews were utilized to conduct a study on risk perception, employing the expanded SUS questionnaire "A" through a mobile application. Prior consent was obtained through the Free and Informed Consent Form. The collected data were analyzed using Artificial Intelligence and Artificial Neural Networks. The research findings revealed an inadequate understanding of health risks among riverside farmers in both groups, with a particular need for knowledge improvement in the community of Petrolina (PE). To enhance farmers' awareness and perception of risks, it is imperative to implement comprehensive educational policies and adopt a health management approach that emphasizes the farmer's relationship with the environment. Furthermore, effective communication strategies must be employed to convey the health risks associated with pesticide use. Municipal governments should actively support these initiatives to foster positive change in the agricultural sector.
Can a novel combination panel of five systemic biomarkers define the prognosis and provide a target for therapy in high grade glioma?
Authors: Shrivastava Richa , Gandhi Puneet , Shrivastava Aadesh , Sorte Sandeep K
Published: June 2023

Purpose
High-grade gliomas (HGG) comprise WHO grades 3 and 4 and despite multimodal therapy, the overall-survival(OS) has not improved much. In this study, the markers representing four-partakers of the tumor-microenvironment (TME) were identified that can help to monitor disease progression, namely Interleukin6 (IL6, inflammation), inducible nitrous-synthase (iNOS, hypoxia), vascular-endothelial growth-receptor(VEGF) and Endothelin1(ET1) (angiogenesis) and intercellular-adhesion molecule1(ICAM1, extracellular-matrix). Their systemic expression in HGG was quantified noninvasively.
Methods
76 therapy-naive patients with HGG and 30 controls were considered in this study. Serum/plasma was analyzed for systemic expressions of IL-6, iNOS, VEGF, ET1, and ICAM1 qualitatively by dot-immune-assay and quantitatively by ELISA.
Results
Markers IL-6, iNOS, VEGF, ET1, and ICAM1 were screened by DIA, their expression was significantly higher in grade-4 compared to grade-3 and controls. Quantification of circulating levels of the markers presented a similar result. The biomarkers were observed to negatively correlate with OS (p < 0.0001). Cox-regression analysis yielded all chosen biomarkers as good prognostic indicators; independent of confounders. The biomarker panel achieved higher sensitivity than single markers, to define survival on applying combination statistics. The association of iNOS, VEGF, ET1, and ICAM1 with IL6 was significant, hinting of a crosstalk and an inflammation driven expression of other partakers of TME.
Conclusion
This is a first-ever experimental study of a marker-panel that could distinguish between histopathological grades, and also delineate differential survival using liquid-biopsy, suggesting that these markers can serve as a target for personalized-therapy. The panel of biomarkers of IL-6, iNOS, VEGF, ET1, and ICAM1 holds promise for prognostication in HGG.
Interpretability methods applied to fraud detection intelligent systems: a systematic review
Authors: Furlanetto Gabriel Covello , Baldassin Alexandro , Manacero Aleardo
Published: June 2023

In a technological world, in which data is generated exponentially, financial analysis has gradually become more important to avoid large losses due to fraud. Considering the large volume and the difficulty of human data checking, machine learning technologies have become one of the main tools to solve the problem. However, due to the creation of data protection laws in several countries, in some scenarios the detection of fraud through intelligence algorithms becomes insufficient. Therefore, it is necessary to understand how the algorithm actually labels a transaction as fraudulent or not. In this work, presented as a systematic literature review, we look for answers on how explicable/interpretable fraud detection algorithms have been applied in order to solve the problem of illegal activities in the financial sector. As a result of the mapping of the current state of the art, this work highlights the gaps in the literature and present the scenario of interpretable techniques used for fraud detection comprehension.
The Use of Mobile-phone Applications to Improve the Compliance of Pregnant Women to Take Iron Tablets: A Systematic Review
Authors: Dewi Arlina , Wirasto Anggit , Dewi Trisna Setya
Published: June 2023

Background
Iron deficiency is the most common etiology of anemia in pregnancy. Consistent supplementation improves IFAS (Iron Folic Acid Supplementation) compliance. This study aimed to give an overview regarding mobile phone utilization to improve pregnant women’s compliance to take iron supplementation.
Method
This study is a systematic review that was performed by collecting and reviewing the relevant article. The search was performed using Google Scholar, PubMed, and Scopus databases. The articles involved were determined by following criteria such as, randomized controlled trial design, involving pregnant women as the object, and measuring pregnant women’s compliance after receiving the intervention.
Results
This study involved 7 articles published from 2014 to 2022. All the studies showed that reminders using mobile applications such as text messaging, mobile phone calls, and mHealth apps have a positive impact on improving pregnant women’s compliance to take iron supplementation. Pregnant women who received a reminder have higher compliance for taking iron supplementation regularly than pregnant women who do not receive a reminder.
Conclusion
The usage of the mobile phone as a reminder has a positive impact in improving pregnant women’s compliance to take iron supplementation regularly.
Behaviour of PPCP substances in a fluvial aquifer after infiltration of treated wastewater
Authors: Hrkal Zbyněk , Pastuszek František
Published: June 2023

One of the reasons for the still prevailing concerns about the recycling of treated wastewater is the low efficiency of current WWTP technologies for removing PPCP substances, especially pharmaceuticals. The goal of this project was to verify the behaviour of these substances after infiltration into the fluvial aquifer of wastewater treated in accordance with today's legislative requirements. During the experiment, this water (containing 69 PPCP substances) was infiltrated using a 10 m deep well for a period of one month. The whole process was intensified by pumping at a well at a distance of 52 m. In the surrounding monitoring wells, 113 PPCP substances were monitored at three-day intervals with a detection limit in the order of tens of ng/l. The results showed that 15 PPCP substances were already present in the fluvial aquifer before the start of the infiltration experiment and thus represent "background" values. These substances are the result of river water seepage. The influence of infiltration was manifested by changes in the chemistry of the monitoring wells 8-12 days from the beginning of the experiment. An increase in concentrations of PPCP substances in groundwater can be reliably demonstrated mainly for the following substances: oxypurinol, Benzotriazole, Sucralose, Iomeprol, Hydrochlorothiazide, Iopromide, Diclofenac-4-hydroxy, Furosemide, Sulfapyridine, Benzotriazole 5-methyl, and Sulfanilamide. On the other hand, the experiment demonstrated the high natural attenuation capacity of the rock environment, which eliminated a wide range of PPCP substances such as Acebutolol, Atenolol, Azithromycin, Benzotriazole 1-methyl, Bisoprolol, Celiprolol, Cetirizine, Citalopram, Clarithromycin, Climbazole, and Clindamycin, to a level below the detection limit.
Quality of antenatal care in Primary Health Care in Brazil: A Latent Class Analysis
Authors: Ortelan Naiá , Flores-Quispe Maria del Pilar , Luz Leandro Alves da , Martufi Valentina , Anjos Eduarda Ferreira dos , de Lima Acácia Mayra Pereira , de Almeida Josemir Ramos , Passos Michelle Pereira Vale dos , Santos Ythalo Hugo da Silva , Amorim Leila Denise Alves Ferreira , Vieira-Meyer Anya Pimentel Gomes Fernandes , Ichihara Maria Yury Travassos , Aquino Rosana , Barreto Mauricio Lima , Junior Elzo Pereira Pinto
Published: June 2023

Background
Adequate antenatal care (ANC) is fundamental in preventing maternal and neonatal mortality. Developing indicators for assessing the ANC quality in Primary Health Care (PHC) is essential.
Objective
To characterize subgroups of quality of care with respect to ANC at the PHC level in Brazil.
Methods
We conducted a cross-sectional study with data from the first Brazil's National Program for Improving Primary Care Access and Quality (PMAQ-AB) cycle (2012). 16,566 PHC teams participated in the first cycle of the PMAQ-AB, corresponding to 49.6% of the teams active across Brazil, distributed across 69.3% of Brazilian municipalities. To evaluate the ANC quality, six indicators were elaborated: "Medicines", "Protocols and patient flows", "Record keeping practices", "ANC routine tests", "Protocols for early detection of pregnant women and ANC provision", and "Identification and ANC of Low/High-risk pregnancies". Latent Class Analysis (LCA) was carried out to characterize the quality of care provided by PHC teams according to these six indicators.
Results
"Identification and ANC of Low/High-risk pregnancies" indicator had the highest percentage of teams providing adequate care (39.5%), while "ANC routine tests" had the lowest percentage (16.8%). The LCA identified three classes, and 20.5% of PHC teams had the probability of belonging to the class denominated "High adequacy".
Conclusion
Using a dataset from a survey carried out with health professionals at the PHC level allowed us to select indicators and characterize PHC teams in terms of the adequacy of ANC provided. This approach can guide global initiatives to evaluate the quality of ANC.
Improvement of the scheme of preventive and treatment measures for associated respiratory infections in cats
Authors: Ruban Volodymyr , Severyn Raisa , Gontar Alla , Haragulya Halina , Hlushchenko Yaroslav
Published: June 2023

The aim of the research was to study the etiological structure of associated infectious rhinotracheitis in cats. It has been established that infectious rhinotracheitis is registered among cats in association with infectious diseases of bacterial aetiology.

Materials and methods. The research was conducted based on a private veterinary clinic in the city of Kharkiv in 2021–2023. A total of 48 cats with signs of respiratory tract damage were examined in the clinic. Samples for laboratory diagnosis were obtained by oropharyngeal swab and transnasal lavage. To confirm the laboratory diagnosis of infectious rhinotracheitis in cats, we used the PCR method (using the Rynovir test system), as well as rapid IXA tests (FHV Ag) manufactured by ASAN PHARM (China) or ZRbio (China). To detect specific antibodies, the method of serological (retrospective) ELISA diagnostics was used using the immunoComb Feline VacciCheck device-free ELISA test system manufactured by Biogal, Israel. Bacteriological studies were carried out according to well-known methods using special nutrient media for the selection and identification of associated bacterial microflora. The sensitivity of selected dominant cultures of bacteria to antibiotics was determined by diffusion in agar using discs containing antibiotics.

Results. It was investigated that Bordetella bronchiseptica was determined as the dominant pathogen in the bacterial association – 52.0 %. Isolated cultures of Bordetella bronchiseptica were sensitive to cefamycin. The proposed science-based scheme for the treatment of infectious rhinotracheitis in association with feline bordetelliosis ensures high therapeutic efficiency.

Conclusions. For the treatment of infectious respiratory diseases in cats, it is necessary to carry out individual complex etiotropic, pathogenetic and symptomatic therapy. Homoeopathic therapy relieves the symptoms of the disease, promotes faster recovery, and is an addition to the main methods of treatment. The main specific measure of disease prevention is timely vaccination (inoculation), the effectiveness of which, according to our research, ranges from 71 % to 100 %.
Comparison of hemodynamic stability of propofol ketamine versus etomidate ketamine during induction in peritonitis cases posted for emergency surgery
Authors: Suneetha Dadi , Rajaratnakumar Nimmagadda , Kumar Sunkesula Bharat , Athmakuri Krishna Saketh , Quadri Syeda Farozan , Vani Shalmala
Published: June 2023

The aim: The aim of the present study is to evaluate the hemodynamic stability of propofol ketamine versus etomidate ketamine during induction of anaesthesia in peritonitis cases posted for emergency surgery.

Methods: Sixty patients with peritonitis, posted for emergency surgery under general anaesthesia, were randomly allocated to two groups. Group propofol ketamine (P + K) comprised of 30 patients (n=30) were induced with propofol 1 mg/kg and ketamine 0.75 mg/kg IV. Group etomidate ketamine (E + K) comprised 30 patients induced with etomidate 0.3 mg/kg and ketamine 0.75 mg/kg. The hemodynamic effects of the combination of the drugs in both groups were compared before and after induction.

Results: The change in saturation (SPO2) and Heartrate between the groups P+K & group E+K before induction and after intubation was similar in both groups. There was a statistically insignificant fall in systolic blood pressure (SBP) and diastolic blood pressure (DBP), and mean arterial pressure (MAP) in group P+K before and after induction when compared to group E+K.

Conclusions: The propofol ketamine and etomidate ketamine combinations have a similar haemodynamic profile and are equally effective in maintaining haemodynamic stability during induction and intubation.
Commitment, Community and Consciousness: A Collaborative Autoethnography of a Doctoral Sister Circle
Authors: Teasdell Annette , Lee Shanique Joan , Calloway Alexis Monique , Adams Tempestt Richardson
Published: June 2023

Although multiple studies acknowledge the significance of mentoring for African American women doctoral students, the literature lacks empirical support for the formation, sustainability and outcomes of mentoring relationships. In academia, African American women are an understudied subject which leads to a paucity of educational programming and policies that address their specific learning needs. Without targeted research, educators are limited in their ability to understand African American women doctoral students’ educational needs. The purpose of this collaborative autoethnography was to examine the reflections of four women participating in a doctoral sister circle called UUSC. This study explored their lived experiences and ways UUSC nurtured, supported, and empowered both the students and their mentor. Data analysis showcased themes of commitment, community and consciousness which can be instructive for other African American women doctoral students and mentors.  Findings indicated that in safe spaces, such as this sister circle, where African American women are authentically concerned about each other’s well being and success, their level of commitment and consciousness increases. This work has implications for educators and students because it provides a roadmap for addressing the unique learning needs of African American women through mentoring.
Negotiating doctoral STEM studies: An In-depth look at the Black woman impostor
Authors: Simon Marsha
Published: June 2023

This qualitative study investigated how the impostor syndrome influenced Black women's experiences pursuing terminal degrees in science, technology, engineering, and mathematics (STEM) at a research institution in the southwestern United States. As a Black female researcher engaging with participants through one-on-one interviews, I used Collins’s (2006) Black Feminist Thought (BFT) tenets to collect and analyze data to understand the participants' doctoral journey. Race and gender regularly intersected to shape how they experienced the impostor syndrome during their doctoral journey. Findings revealed participants with low or moderate impostor feelings tended to have positive experiences while those who had frequent or intense impostor feelings had a more tumultuous academic journey. This study does not only highlight the need for continued research on reducing the impostor syndrome's influence on doctoral women in STEM fields but challenges higher education institutions to make concerted efforts to address their needs.
Grieving Black Girlhoods
Authors: Brown Taryrn T.C.
Published: June 2023

In the legacy of Black womanhood, surviving the loss of a loved one is etched into our blood memory. Amidst some of the most unfathomable grief, we, daughters of the dust, are often expected to move forward as quickly as possible (Beauboeuf-Lafontant, 2009; Romero, 2000). Black women and girls have historically had to overcome–or mask–insurmountable losses at intersections of identity, to ensure Black survival (Collins, 2000; Evans-Winters, 2019). I propose a strong Black girl schema (Brown, 2021) to trouble the erasure of lived experience evident in pervasive cultural discourses like strong Black woman schema (Beauboeuf-Lafontant, 2009).

Utilizing Sista circle methodology (Johnson, 2015) and extending duoethnography (Sawyer & Norris, 2013) within embodied memory work (Dillard, 2000; Ohito, 2020) and storytelling (Evans-Winters, 2019), this paper extends the future possibilities of grief scholarship centering grieving Black girlhoods. Further, the paper acknowledges the enduring tensions in navigating grief and aspires to highlight the power of embodied memory work to illuminate the current and (re)membered geographies of grieving Black girlhoods.
Comparison of the Performance Results of C4.5 and Random Forest Algorithm in Data Mining to Predict Childbirth Process
Authors: Muhasshanah Muhasshanah , Tohir Mohammad , Ningsih Dewi Andariya , Susanti Neny Yuli , Umiyah Astik , Fitria Lia
Published: June 2023

Technology advancements in the world of information have made it easier for many people to process data. Data mining is a process of mining more valuable information from large data sets. The research aims to determine the difference between the C.45 and random forest algorithms in data mining to predict the childbirth process of pregnant women. It compares the accuracy of the performance results of the C4.5 and random forest algorithms to predict the delivery process for pregnant women. Then, experimental research is conducted to classify the childbirth process in Situbondo, Indonesia, by applying the C.45 and the random forest algorithm in the data mining. The decision tree J48 algorithm is used for the C4.5 algorithm in the research. Both algorithms are compared for their error classification and accuracy level. The research uses 1,000 data for training and 200 data for testing. The results show the accuracy of implementing the C4.5 and random forest algorithms with data mining using 10-fold cross-validation, generating 96% and 95% as correctly classified data. Then, the Relative Absolute Error for both algorithms has the same result. It is 15%. The C4.5 algorithm has a better result than the random forest algorithm by comparing the performance results. Further research can add more data to improve the accuracy of the analysis results by using another algorithm.
Development of a Target-Based Configurable Business-to-Business Model for Electronic Wholesale Information System in East Java
Authors: Liliana Liliana , Handani Felix , Prijambodo Bambang , Wariky Maria Christabella
Published: June 2023

Until the end of 2021, most of the electronics wholesale market in East Java has found obstacles in contract administration and monitoring of consumers’ sales targets managed conventionally in contract management and sales target monitoring aspects. This phenomenon becomes complicated because most wholesaler systems have specific rules of management. The research discusses information systems that can be configured for various business processes in the wholesale sale of electronic goods. The case-study approach is applied by analyzing, designing, constructing, and validating the new proposed system based on three case studies with different business processes. The result of the analysis phase explains minimum sales value, the number of item variants in sales, verification rules for sales supervisors, and the configuration of user access rights that are highly flexible when applied. This system is developed as web-based to make easy access to multiple platforms to accommodate flexibility. The result summarizes that companies have the power of freedom to customize their target and help them to monitor wholesale store sales to meet sales target achievement. Alternatively, suppose companies create their new sub-companies with different targets and segments. In that case, they can easily configure target sales rules without spending significant money on developing another application.
Improving Competitive Advantages of Higher Education Institutions through IT Governance, IT Excellence, and IT Innovation: A Case Study in School of Informatics Management & Computing in Indonesia
Authors: David David , Abdurachman Edi , Bandur Agustinus , Kosasih Wibowo
Published: June 2023

School of Informatics Management & Computing (Sekolah Tinggi Manajemen Informatika & Komputer - STMIK) in Indonesia currently needs to improve its competitive advantages, which are inseparable from capabilities to empower Information Technology (IT) for management activities. The research aims to develop IT innovation theories by studying the influences of IT governance, IT excellence, and IT innovation on the competitive advantages of STMIK in Indonesia. A sequential explanatory model is applied to collect and analyzes quantitative data in the first stage and qualitative data in the second stage. Focus Group Discussions (FGDs) method is also used to receive respondents’ statements to strengthen the research findings. The analysis unit involves private STMIK in Indonesia with heads of schools, deputies, and heads of study programs. Quantitative and qualitative research dimensions and an empirical survey, with the active participation of 85 schools, are implemented. The results emphasize that IT maturity is insignificant as a moderating variable between IT innovation and competitive advantages. Similarly, IT governance is also insignificant for the improvement of competitive advantages. However, competitive advantage is directly and favorably impacted by IT innovation initiatives. These findings demonstrate how much easier it is for universities to improve their competitive edge using their greater IT innovations. This circumstance demonstrates the enormous potential of STMIK’s IT innovation capability in Indonesia, allowing institutions to implement novel strategies to generate value by introducing new services.
The Origin of The Basic Formula of The Fourier Series
Authors: Gazali Wikaria
Published: June 2023

This paper discusses the Origin of the Basic Formula for the Fourier Series
f(t)=a0/2+∑∞k=1 [ak cos⁡(kπt/L)+bk sin⁡(kπt/L) ]
To obtain this model, the author derives the basic formula for the Fourier Series from Elementary Linear Algebra. In this derivation, we use the best approximation: least squares method whose details will be elaborated in this paper until we obtain the formula for the Fourier Series.
PVD Yöntemi Kullanılarak Kaplanan PEEK Numunelerin Mekanik Özelliklerinin İncelenmesi
Authors: CÜREOĞLU Arif , ŞAP Emine , UZUN Mahir
Published: June 2023

Polimer malzemeler endüstride özellikle farklı makine elemanları olarak yaygın bir şekilde kullanılmaktadırlar. Kullanıldıkları ortamlarda, metal malzemelere kıyasla aşınma dayanımları özellikle kimyasal ortamlar da söz konusu olduğunda oldukça düşük olmaktadır. Dolayısı ile polimer malzemeler, bu ortamlara daha dayanıklı elementler ile kaplanabilirlerse dayanımları çok daha yüksek olacaktır. Bu çalışmada, dayanımı arttırabilmek amacıyla literatürde rastlanılmayan PEEK (polieter eter keton)’un PVD yöntemlerinden biri olan manyetik alan sıçratma yöntemi ile kaplaması gerçekleştirilmiştir. Altlık malzeme olarak 30x30 mm² boyutlarında kare kesitli, 3 mm kalınlığında 3 adet saf PEEK numuneler kullanılmıştır. Numunelerin yüzeyi, kalın taneliden ince taneliye doğru sırası ile 400, 600 ve 1200 numara kum zımparası ile yüzey pürüzlülük değeri ortalama Ra=0.248 olana kadar parlatılmıştır. Daha sonra PEEK numuneler PVD (Fiziksel Buhar Biriktirme) kaplama yöntemlerinden olan manyetik alanda sıçratma yöntemi kullanılarak biri VN diğeri ise CrY(V)N ile kaplanmıştır. Kaplama işleminden sonra numunelere sertlik ve aşınma testi uygulanmıştır. Sonuç olarak, saf haldeki PEEK numuneye göre VN kaplanmış PEEK numunenin sertlik değerinin %34 arttığı, CrY(V)N kaplanmış PEEK numunede ise sertlik değerinin yaklaşık %40 arttığı görülmüştür. Aşınma deneyi ile ilgili olarak yükteki artış sonucunda, numunelerde aşınma kayıpları da artmıştır. En yüksek kütle kaybının CrY(V)N ve VN kaplı numunede olduğu görülmüştür.
Factores que determinan la competitividad de la cadena de valor de la cebada en Tlaxcala
Authors: Domínguez Gutiérrez Joselito , Palacios-Rangel María Isabel , Ocampo Ledesma Jorge Gustavo , Roldán Suárez Elizabeth , García Sánchez Edgar Iván
Published: June 2023

La industria cervecera en México es un sector clave en la economía nacional. Así lo demuestra su desempeño económico: genera 2.5 millones de empleos directos e indirectos; produce una derrama de 6 000 millones de dólares, e incorpora a 100 000 agricultores nacionales a su cadena de suministro. El objetivo de este trabajo fue analizar los factores que determinan la competitividad de la cadena de valor (CV) de la cebada. Así, se caracterizaron los eslabones y las estrategias que contribuyen a reforzar la competitividad. Analíticamente, se partió de los cuatro componentes de Porter que explican las ventajas competitivas de un actor económico, y del método formulado por la CEPAL para identificar las variables internas y externas de la CV, así como su control o ausencia. Se encontró que la CV-cebada está conformada por cinco eslabones, y su articulación es resultado de la gobernanza que ejercen Grupo Modelo-ABInBev y Cuauhtémoc Moctezuma-Heineken México. Cuatro factores explican la competitividad de la cadena: nivel de articulación; innovación; infraestructura física, y organización. La CV está bien articulada en la zona de producción; sin embargo, las cerveceras generan fuertes vínculos sólo con los grandes y medianos productores, y limitan la participación de los pequeños, generando una CV vertical asimétrica y exclusivamente funcional.
Evaluation of a telepsychological intervention guide during COVID-19 pandemic: evidence from a pilot study with mexican population
Authors: Argüero Fonseca Aimée , Martínez Soto Joel , Reynoso González Óscar Ulises , Cervantes Luna Brenda , López Beltrán Iván , Aguirre Ojeda Diana P.
Published: June 2023

The Virtual Psychological Care Guide (VPCG_COVID-19) has been designed as a tool for orientation and urgent attention to psychological conditions and symptoms during the SARS-CoV-2 pandemic. Objective. To assess the psychological impact on the levels of depression, anxiety and stress associated with the implementation of a telepsychology intervention based on the VPCG_COVID-19. A single group repeated measures design was used to assess depression, anxiety and stress before (T0 = pretest), after (T1 = posttest) and 14 days after its implementation (T2 = retest). A sample of 117 adults participated (mean age = 37.69; SD = 12.07; 62.4 % male) and received telepsychology care and were channeled according to VPCG_COVID 19 criteria: Level 2 psychoeducation and orientation (n = 46), level 3 = psychological first aid (n = 24) and level 4 = brief cognitive behavioral therapy-brief (n = 47). Significant differences were found in depression, anxiety and stress, for the three levels of attention (pre, post and retest measurements).
Population rate of quantum states and the reverse of the arrow of time
Authors: Ávila Aoki Manuel , Hernández Vázquez José Eladio
Published: June 2023

Recently it has been pointed out that an outstanding application of an IBM quantum computer is to reverse the arrow of time (Lesovik et al., 2019). It is explored such a possibility in a two qubits system coupled to a common structured reservoir at zero temperature. It is shown that population rates of the quantum states become the same both towards the remote past and towards the remote future. A two qubits system in presence of noise can reverse the arrow of time.
Análisis de esfuerzos en geometrías de andamios óseos bajo cargas de compresión con las propiedades mecánicas de un material de Hidroxiapatita/ácido láctico
Authors: Díaz León José Luis , Hernández Navarro Carolina , Martínez Valencia Mariana Itzel , Vázquez López José Antonio
Published: June 2023

La relación entre la resistencia del material y la geometría de los andamios óseos asegura que los poros del andamio se mantengan íntegros mientras las células de los huesos se desarrollan a través de ellos. En este estudio se presentan las simulaciones mecánicas de dos geometrías de andamios óseos usando las propiedades mecánicas de la Hidroxiapatita (HAp) mezclado con ácido láctico. Se realizaron ensayos de compresión en la HAp para conocer sus propiedades mecánicas, después se modelaron dos geometrías de andamios óseos en base a la porosidad y tamaño adecuados para la regeneración celular según lo reportado en la literatura y se usaron los valores de las propiedades mecánicas para las simulaciones MEF.  Se encontró un módulo elástico de 253.4 MPa, el esfuerzo de cedencia de 7.53 MPa y el módulo de Poisson de 0.33. Las porosidades calculadas para los modelos CAD cúbico y cilíndrico son de 43.83% y de 50.51% respectivamente.  Se encontró que el modelo cúbico soportó una fuerza de 21 N en contraste con el modelo cilíndrico que soportó una fuerza de 19 N, estas fuerzas se aplicaron en las simulaciones con la finalidad de no superar el esfuerzo máximo permisible de 4.5 MPa de la HAp.
Local food governance and territorial development: the case of Echt Texels Lamvless initiative
Authors: López Moreno Ignacio , Chávez Becker Carlos
Published: June 2023

Nowadays, agriculture and food policies are trying to re-organise and re-shape production, processing, and consumption of food in Europe. These regulations answer to different models and come from different regulatory actors, such as the State or the European Commission. They promote specific institutional frameworks that may support the creation of nested markets controlled by local communities or commodity markets controlled by agro-food empires. Our paper demonstrates that nested markets are the right response for market failures. They successfully support local food governance and promote sustainable territorial development through the collective management of the common pool resource (CPRs).
Frazil ice events: Assessing what to expect in the future
Authors: Barrette Paul Dominique , Lindenschmidt Karl-Erich
Published: June 2023

This article addresses the question: What is expected from frazil ice activity in rivers, taking into account the changing climate? It begins with an overview of what frazil ice is and what is required for the occurrence of frazil ice events, namely a supercooled water column. Methodologies to anticipate frazil ice events in the short term are based on air temperature and water discharge, underlining the significance of these two parameters for any predictive methods. Longer-term approaches, calibrated against past events (hindcasting), are used to anticipate frazil ice activity into the future, with indicators such as frazil ice risk, water temperature and frazil volume. Any of these approaches could conceivably be applied to frazil-prone river stretches. To assess climate impact, each location should be treated separately. River ice dynamics can lead to the formation of a hanging dam, a frequent outcome of frazil ice generation in the early winter, causing flow restriction. Flood modeling and forecasting capabilities have been developed and implemented for operational use. More frequent mid-winter breakups are expected to extend the occurrence of frazil ice events into the winter months – the prediction of these will require climate model output to adequately capture month-to-month variability.
Producción científica sobre educación STEM en Latinoamérica: un estudio bibliométrico
Authors: Patiño Cuervo Daniela , Pineda Caro Diana , Torres Torres Aura , Pulido Cortés Oscar
Published: June 2023

Este estudio tuvo por objetivo identificar el progreso de la producción científica sobre educación en ciencia, tecnología, ingeniería y matemáticas de Latinoamérica. Para ello, se realizó un análisis bibliométrico aplicado a los metadatos de publicaciones de Scopus y Web of Science. Los resultados obtenidos permiten establecer la evolución temporal de las publicaciones identificadas desde el año 2009 hasta el mes de octubre del 2020. También se identificaron el tipo de documentos, revistas y su clasificación según el SCImago Journal & Country Rank y el Journal Citation Report, países de publicación, eventos académicos, principales autores y citaciones realizadas. Los indicadores bibliométricos registrados han permitido evidenciar los esfuerzos para fortalecer la educación científica y tecnológica en Latinoamérica; sin embargo, así mismo se evoca la necesidad de fomentar la producción de documentos especializados en estas áreas puesto que, al compararla con otros países, aún es reducida.
Diabetes Health Supervision and Treatment Strategy Based on Data
Management and Analysis on eKTANG Platform
Authors: Jiang Yin , Wang Ying
Published: June 2023

Background:

The management of diabetes-related risk factors could effectively reduce
the occurrence of its complications, improve the quality of life of patients, and reduce the mortality
of patients. Data analysis based on the eKTANG platform could greatly improve the efficiency of
communication between patients and doctors, and strengthen the treatment and management of diabetes.

Aim:

We created eKTANG to monitor patient health effectively. The eKTANG health management
system aims to extensively intervene in blood glucose monitoring, nutrition, exercise, medicine,
and health education to enable diabetes patients to achieve optimal treatment results.

Methods:

Diabetes patients diagnosed by Henan University Medical School included through the
eKTANG platform were randomly divided into three groups: member service package group, discharge/
outpatient follow-up group, and out-of-hospital care group. We conducted intensive out-ofhospital
interventions for three groups of patients for three months to help patients formulate precise
blood glucose control plans and conduct training. The traditional group was compared with the
eKTANG platform group, and the physiological indicators and patient compliance of the four
groups were observed 6 months later.

Results:

In the eKTANG platform management group, the average blood glucose compliance rate
increased significantly, and the percentage of average blood glucose in the range of 3.9-10.0
showed an upward trend. Fasting blood glucose and postprandial blood glucose showed a downward
trend. At the same time, the number of patients per capita blood glucose monitoring showed a
significant increase compared with the control group.

Conclusion:

The establishment of the eKTANG platform can improve the efficiency of patient’s
medical treatment, improve their lifestyles, reduce the incidence of patient complications, and
build a virtuous circle gradually. This research has strengthened the health management and autonomy
of diabetic patients and improved the efficiency of treatment. It is worthy of promotion.
Caffeine Improve Memory and Cognition via Modulating Neural Progenitor
Cell Survival and Decreasing Oxidative Stress in Alzheimer's Rat
Model
Authors: Tiwari Virendra , Mishra Akanksha , Singh Sonu , Shukla Shubha
Published: June 2023

Aims:

Caffeine possesses potent antioxidant, anti-inflammatory and anti-apoptotic activities
against a variety of neurodegenerative diseases, including Alzheimer’s disease (AD) and Parkinson’s
disease (PD). The goal of this study was to investigate the protective role of a psychoactive substance
like caffeine on hippocampal neurogenesis and memory functions in streptozotocin (STZ)-induced
neurodegeneration in rats.

Background:

Caffeine is a natural CNS stimulant, belonging to the methylxanthine class, and is a
widely consumed psychoactive substance. It is reported to abate the risk of various abnormalities that
are cardiovascular system (CVS) related, cancer related, or due to metabolism dysregulation. Shortterm
caffeine exposure has been widely evaluated, but its chronic exposure is less explored and pursued.
Several studies suggest a devastating role of caffeine in neurodegenerative disorders. However,
the protective role of caffeine on neurodegeneration is still unclear.

Objective:

Here, we examined the effects of chronic caffeine administration on hippocampal neurogenesis
in intracerebroventricular STZ injection induced memory dysfunction in rats. The chronic effect
of caffeine on proliferation and neuronal fate determination of hippocampal neurons was evaluated
by co-labeling of neurons by thymidine analogue BrdU that labels new born cells, DCX (a marker for
immature neurons) and NeuN that labels mature neurons.

Methods:

STZ (1 mg/kg, 2 μl) was injected stereotaxically into the lateral ventricles (intracerebroventricular
injection) once on day 1, followed by chronic treatment with caffeine (10 mg/kg, i.p) and
donepezil (5 mg/kg, i.p.). Protective effect of caffeine on cognitive impairment and adult hippocampal
neurogenesis was evaluated.

Results:

Our findings show decreased oxidative stress burden and amyloid burden following caffeine
administration in STZ lesioned SD rats. Further, double immunolabeling with bromodeoxyuridine+/
doublecortin+ (BrdU+/DCX+) and bromodeoxyuridine+/ neuronal nuclei+ (BrdU+/NeuN+) has
indicated that caffeine improved neuronal stem cell proliferation and long term survival in STZ lesioned
rats.

Conclusion:

Our findings support the neurogenic potential of caffeine in STZ induced neurodegeneration.
Nanoencapsulation of Ruthenium Complex Ru(ThySMet): A Strategy to
Improve Selective Cytotoxicity against Breast Tumor Cells in 2D and 3D
Culture Models
Authors: Becceneri Amanda Blanque , Fuzer Angelina Maria , Lopes Ana Carolina , da Silva Patrícia Bento , Plutin Ana Maria , Batista Alzir Azevedo , Chorilli Marlus , Cominetti Márcia Regina
Published: June 2023

Background:

Ruthenium complexes have shown promise in treating many cancers, including
breast cancer. Previous studies of our group have demonstrated the potential of the trans-
[Ru(PPh3)2(N,N-dimethylN′-thiophenylthioureato-k2O,S)(bipy)]PF6 complex, the Ru(ThySMet), in the
treatment of breast tumor cancers, both in 2D and 3D culture systems. Additionally, this complex presented
low toxicity when tested in vivo.

Aims:

Improve the Ru(ThySMet) activity by incorporating the complex into a microemulsion (ME)
and testing its in vitro effects.

Methods:

The ME-incorporated Ru(ThySMet) complex, Ru(ThySMet)ME, was tested for its biological
effects in two- (2D) and three-dimensional (3D) cultures using different types of breast cells, MDAMB-
231, MCF-10A, 4T1.13ch5T1, HMT-3522 and Balb/C 3T3 fibroblasts.

Results:

An increased selective cytotoxicity of the Ru(ThySMet)ME for tumor cells was found in 2D
cell culture, compared with the original complex. This novel compound also changed the shape of tumor
cells and inhibited cell migration with more specificity. Additional 3D cell culture tests using the
non-neoplastic S1 and the triple-negative invasive T4-2 breast cells have shown that Ru(ThySMet)ME
presented increased selective cytotoxicity for tumor cells compared with the 2D results. The morphology
assay performed in 3D also revealed its ability to reduce the size of the 3D structures and increase
the circularity in T4-2 cells.

Conclusion:

These results demonstrate that the Ru(ThySMet)ME is a promising strategy to increase its
solubility, delivery, and bioaccumulation in target breast tumors.
Continuous-flow Synthesis of Ruthenium Nanoparticles using a
Microreactor for the Selective Hydrogenation Reaction
Authors: Srivastava Vivek
Published: June 2023

In this study, a continuous flow reactor was used to synthesize Ru nanoparticles with a
well-distributed size and good stability. The effects of reactant dilution and flow rate on the synthesis
were investigated, and it was found that optimization of these parameters was critical in obtaining
small-sized Ru nanoparticles using a solution of 0.00025 M RuCl3.3H2O and 0.001M NaBH4 at a flow
rate of 30mL/h. The Ru nanoparticles obtained were coated with CTAB surfactant, which was confirmed
by TEM and PSD studies. The interaction between the surfactant and the nanoparticles was also
confirmed by FTIR analysis. The synthesized Ru nanoparticles were then tested for their catalytic
activity in high-pressure alkene hydrogenation and were found to be effective in producing the corresponding
hydrogenated products in good yields. Furthermore, the catalytic effect of Ru nanoparticles
was utilized for the synthesis of two natural products, brittonin A and dehydrobrittonin A. Both products
were successfully isolated in measurable yields. This synthesis protocol had several advantages,
including low catalyst loading, no use of additives, wide substrate scope, simple product separation,
and catalyst recovery up to 8 times. Overall, this study demonstrated the potential of continuous flow
reactor technology for synthesizing stable and well-distributed nanoparticles, and the effectiveness of
Ru nanoparticles as catalysts in various chemical reactions. The study's findings have important implications
for the development of more efficient and sustainable chemical synthesis protocols
Design of Podophyllotoxin-based Hybrid Compounds as Potential Anticancer Agents
Authors: Wang Hezhen , Sun Xun , Wei Chunyong , Wang Jing , Zhang Lei
Published: June 2023

Background:

Cancer has been regarded as the leading cause of death worldwide. Identifying
new anti-neoplastics with high potency and low toxicity is urgent.

Objective:

Podophyllotoxin-based hybrid compounds were synthesized by esterification and characterized
using NMR and HR-MS. In vitro cytotoxicity and molecular mechanism studies were performed.

Methods:

Podophyllotoxin was hybridized with three selected known natural compounds via esterification
to develop candidates with increased biological activity or decreased toxicity. The CCK-8 assay, cell
cycle analysis, AO/EB staining, immunofluorescent analysis, and molecular modeling were used for investigation.

Results:

Compound B4 displayed potent anticancer effect on HepG2 and HSC-2 cell lines, with IC50 values
of 0.809 ± 0.183 and 0.267 ± 0.038 μM, respectively. Furthermore, B4 exhibited less antiproliferative
activity in 293T cells with an IC50 value of 2.303 ± 0.216 μM. In addition, B4 demonstrated strong induction
of S phase arrest and apoptosis, as well as demolished the microtubules in HSC-2 cells. Molecular
docking study revealed that B4 could bind into the colchicine site of β-tubulin, as well as the interface of
the α/β-tubulin dimer.

Conclusion:

Hybrid B4 exhibited potential anticancer activity, and further investigations can help in identifying
novel lead molecules.
Using Machine Learning and Artificial Intelligence to Predict Diabetes Mellitus among Women Population
Authors: Alfalki Ali Mamoon
Published: June 2023

Introduction:

Diabetes Mellitus (DM) is a chronic health condition (long-lasting) due to inadequate control of blood levels of glucose. This study presents a prediction of type 2 diabetes mellitus among women using various Machine Learning (ML) algorithms deployed to predict the diabetic condition. A University of California Irvine (UCI) diabetes mellitus dataset posted on Kaggle was used for analysis

Methods:

The dataset included eight risk factors for type 2 diabetes mellitus prediction, including age, systolic blood pressure, glucose, body mass index (BMI), insulin, skin thickness, diabetic pedigree function, and pregnancy. R language was used for the data visualization, while the algorithms considered for the study were logistic regression, Support Vector Machines (SVM), Decision Trees, and Extreme Gradient Boost (XGB). The performance analysis of these algorithms on various classification metrics was also presented, considering that the AUC-ROC score is the best for Extreme Gradient Boost (XGB) with 85%, followed by SVM and Decision Trees (DT).

Results:

The Logistic Regression (LR) demonstrated low performance, but the decision trees and XGB showed promising performance against all the classification metrics. Moreover, SVM offers a lower support value, so it cannot be considered a good classifier. The model showed that the most significant predictors of type 2 diabetes mellitus were glucose levels and body mass index, whereas age, skin thickness, systolic blood pressure, insulin, pregnancy, and pedigree function were less significant. This type of real-time analysis has proven that the symptoms of type 2 diabetes mellitus in women fall entirely different compared to men, which highlights the importance of glucose levels and body mass index in women.

Conclusion:

The prediction of type 2 diabetes mellitus helps public health professionals to suggest proper food intake and adjust lifestyle activities with good fitness management in women to make glucose levels controlled. Therefore, the healthcare systems should give special attention to diabetic conditions in women. This work attempts to predict the occurrence of type 2 diabetes mellitus among women from their various behavioral and biological conditions.