bluuebunny/crossref_metadata_2025 huggingface dataset:
Notas sobre la huelga general (Uruguay, 1973): antecedentes, hechos e interpretaciones
Authors: Álvarez Sabrina , Siola Lucía
Published: September 2023

El presente artículo busca realizar una aproximación al proceso de huelga general convocada por la Convención Nacional de Trabajadores en Uruguay frente al golpe de Estado perpetrado el 27 de junio de 1973. En el marco del 50 aniversario, el artículo se propone reflexionar y presentar algunas interrogantes sobre los hechos, las memorias y los relatos construidos en relación a la temática. Además, plantear una lectura que vincula más estrechamente la decisión y la preparación de la emblemática huelga con una serie de acontecimientos acaecidos a nivel nacional y regional desde la década de 1950.
La gráfica como compañera: la exposición Giro gráfico. Como en el muro la hiedra, curada por la Red de Conceptualismos del Sur
Authors: Mongan Guillermina
Published: September 2023

La gráfica como compañera: la exposición Giro gráfico. Como en el muro la hiedra, curada por la Red de Conceptualismos del Sur
Reseña: Erika Denise Edwars (2023). Escondidas a plena vista. Las mujeres negras, la ley y la construcción de una República Argentina blanca, 1ra edición. CABA: Prometeo, 189 páginas
Authors: Lamas Alejandra Gladys
Published: September 2023

Revisión del libro Escondidas a plena vista. Las mujeres negras, la ley y la construcción de una República Argentina blanca por E. D. Edwards
Erector spinae plane block versus intercostal nerve block for postoperative analgesia in lung cancer surgery
Authors: Gams Polona , Bitenc Marko , Danojevic Nenad , Jensterle Tomaz , Sadikov Aleksander , Groznik Vida , Sostaric Maja
Published: September 2023

Background

A recent trend in postoperative analgesia for lung cancer surgery relies on regional nerve blocks with decreased opioid administration. Our study aims to critically assess the continuous ultrasound-guided erector spinae plane block (ESPB) at our institution and compare it to a standard regional anesthetic technique, the intercostal nerve block (ICNB).

Patients and methods

A prospective randomized-control study was performed to compare outcomes of patients, scheduled for video-assisted thoracoscopic (VATS) lung cancer resection, allocated to the ESPB or ICNB group. Primary outcomes were total opioid consumption and subjective pain scores at rest and cough each hour in 48 h after surgery. The secondary outcome was respiratory muscle strength, measured by maximal inspiratory and expiratory pressures (MIP/MEP) after 24 h and 48 h.

Results

60 patients met the inclusion criteria, half ESPB. Total opioid consumption in the first 48 h was 21. 64 ± 14.22 mg in the ESPB group and 38.34 ± 29.91 mg in the ICNB group (p = 0.035). The patients in the ESPB group had lower numerical rating scores at rest than in the ICNB group (1.19 ± 0.73 vs. 1.77 ± 1.01, p = 0.039). There were no significant differences in MIP/MEP decrease from baseline after 24 h (MIP p = 0.088, MEP p = 0.182) or 48 h (MIP p = 0.110, MEP p = 0.645), time to chest tube removal or hospital discharge between the two groups.

Conclusions

In the first 48 h after surgery, patients with continuous ESPB required fewer opioids and reported less pain than patients with ICNB. There were no differences regarding respiratory muscle strength, postoperative complications, and time to hospital discharge. In addition, continuous ESPB demanded more surveillance than ICNB.
Efficacy and safety of nintedanib and docetaxel in patients with previously treated lung non-squamous non-small cell lung cancer: a multicenter retrospective real-world analysis
Authors: Ljubicic Lidija , Janzic Urska , Unk Mojca , Terglav Ana Sophie , Mohorcic Katja , Seiwerth Fran , Bitar Lela , Badovinac Sonja , Plestina Sanja , Korsic Marta , Kukulj Suzana , Samarzija Miroslav , Jakopovic Marko
Published: September 2023

Background

The standard first-line systemic treatment for patients with non-oncogene addicted advanced nonsquamous non-small cell lung cancer (NSCLC) is immunotherapy with immune checkpoint inhibitors (ICI) and/or chemotherapy (ChT). Therapy after failing ICI +/− ChT remains an open question, and docetaxel plus nintedanib represent a valid second line option.

Patients and methods

A multicenter retrospective trial of real-life treatment patterns and outcomes of patients with advanced lung adenocarcinoma treated with docetaxel plus nintedanib after the failure of ICI and/or ChT was performed. Patients from 2 Slovenian and 1 Croatian oncological center treated between June 2014 and August 2022 were enrolled. We assessed objective response (ORR), disease control rate (DCR), median progression free survival (PFS), median overall survival (OS), and safety profile of treatment.

Results

There were 96 patients included in the analysis, with ORR of 18.8%, DCR of 57.3%, median PFS of 3.0 months (95% CI: 3.0–5.0 months), and a median OS of 8.0 months (95% CI: 7.0–10.0 months). The majority of patients (n = 47,49%) received docetaxel plus nintedanib as third-line therapy. The ORR for this subset of patients was 19.1%, with a DCR of 57.4%. The highest response rate was observed in patients who received second-line docetaxel plus nintedanib after first-line combination of ChT-ICI therapy (n = 24), with an ORR of 29.2% and DCR of 66.7% and median PFS of 4.0 months (95% CI: 3.0–8.0 months). Fifty-three patients (55.2%) experienced adverse events (AEs), most frequently gastrointestinal; diarrhea (n = 29, 30.2%), and increased liver enzyme levels (n = 17, 17.7%).

Conclusions

The combination of docetaxel and nintedanib can be considered an effective therapy option with an acceptable toxicity profile for patients with advanced NSCLC after the failure of ICI +/− ChT.
Analysing the rate of land use and land-cover changes in Gambari Forest Reserve, Nigeria
Authors: Mephors J. O. , Onafeso O. D. , Afolabi O. S. , Aigbokhan O. J. , Adamu I. S.
Published: September 2023

Abstract in English

This research work discusses the phenomenon of land use and land cover, which has undergone constant changes over the past few decades due to major variations in the environment caused by anthropogenic and natural factors. This study is supported by a long time series of land use and land-cover satellite data of the Gambari Forest Reserve boundary map for 1984, 2004, and 2020. A maximum likelihood classification scheme was employed to classify the satellite imageries using ArcGIS 10.1 software to derive the spatial patterns and temporal variation of the land-use and land-cover change (LULC) classes: dense forest (DF), light forest (LF) and non-forest (NF). Data on deforestation of the study area showed that the area of DF increased from 31.7 km2 (23.4%) to 72.8 km2 (54.4%) within a 36-year time series, with a percentage change of 31.0%. The area of LF decreased from 79.2 km2 (65.4%) to 51.2 km2 (41.5%), with a percentage change of −23.9%, and that of NF decreased from 14.7 km2 (11.2%) to 2.6 km2 (4.1%), with a percentage change of −7.1%. This indicates that it would be reasonable to anticipate an increase in deforestation in the future.
Tax Avoidance and Dividend Policy: Evidence from Indonesian State-Owned Enterprises
Authors: Kuswanto Randy
Published: September 2023

This study aimed to investigate the relationship between tax avoidance and dividend policy with focus on state-owned enterprises (SOEs), in Indonesia. The populations are all Indonesian firms (SOEs and non-SOEs) listed in LQ-45 index. Samples were selected using purposive sampling method. Number of collected samples are 60 firms or 118 firm-year observations (2018, 2019, and 2021). Using Moderated Regression Analysis (MRA), this study found a positive association between effective tax rate and dividend yield for non-SOEs. The result also reveals that SOEs tend not to engage in aggressive tax avoidance, with an average effective tax rate of 19.9%. Therefore, if SOEs plan to manage their taxes to lower the effective tax rate, they may provide higher yield to shareholders compared to non-SOEs.
O sono de universitários no distanciamento social por COVID-19
Authors: Fiorentin Luciano , Beltrame Vilma
Published: September 2023

Introdução: A prevalência da qualidade do sono ruim tem apresentado elevados índices entre estudantes universitários. Entretanto, supõe-se que a Covid-19 pode ter influenciado na qualidade do sono desses estudantes. Objetivo: Analisar a influência do distanciamento social por Covid-19 no sono de estudantes universitários. Metodologia: Trata-se de uma revisão integrativa, com buscas nas bases Pubmed, MEDLINE, LILACS e WHO COVID, pelos sites Pubmed, BVS e Portal de buscas da OMS para covid-19, com combinações de descritores: “Covid-19 ou coronavírus e estudantes de ciências de saúde”, “Covid-19 ou Coronavírus e Sono”, “Sono e estudantes de ciências de saúde”. Inicialmente encontrou-se 371 artigos. Após refinamento, 03 artigos compuseram o estudo. Resultados: Os estudos da literatura internacional envolveram estudantes de 8 países e de 3 continentes, que focaram nos escores global do PSQI e componentes: Duração do sono e Eficiência do sono. As principais evidências encontradas foram: Aumento do índice de qualidade do sono ruim durante a pandemia; a média dos escores PSQI encontrado foi superior a 5; o sono de curta duração reduziu a qualidade do sono e foi associado como preditor para depressão, e transtorno do estresse pós-traumático. Estudantes em uso de tabaco, que tinham ansiedade/depressão, consumiram álcool e apresentaram escore de risco alimentar elevado, apresentaram mais risco de problemas com o sono. Conclusão: A pandemia por Covid-19 influenciou no sono dos estudantes, afetando-o negativamente e resultando em aumento dos índices de prevalência da qualidade do sono ruim.
A study on the Education in Dostoevsky’s Netochka Nezvanova: focusing on comparison with Rousseau’s Emile
Authors:   Institute for Russian and Altaic Studies, CBNU, Cho Hye Kyung
Published: September 2023

The purpose of this thesis is to explore what the writer Dostoevsky's view of education is by examining the problem of education in Dostoevsky's novel Netochka Nezvanova through the growth process of the main character, Netochka. The education Netochka received can be divided into three stages in her life's journey.
First of all, the problem with Efimov's education is that he looked at her Netochka as a means to achieve his own selfish ends, and furthermore, by ignoring Netochka's imaginary world. There was a problem in that it caused a his disingenuous attitude. Second, the problem of Mrs. Leotar's education was that it caused a sense of inferiority by comparing the learners of education with each other. This education eventually had a negative effect on Katya. Finally, Alexandra's education was tailored to Netochka's eye level, and she was able to convey her knowledge while stimulating her interest, curiosity, and imagination. Not only that, but she also gave Netochka the opportunity to self-direct her abilities and reflect on her past by allowing her to tell fully of her own past. She taught Netochka how to reconcile reality and imagination through reading and discussion.
The effect of the series of education mentioned above made Netochka to love herself, and further empathize with those who suffer like her own, and to face injustice and evil according to her own convictions. Before learning how to spell and reading books, first learn from what you see and hear, read books afterwards, learn the harmony and balance between imagination and reality, empathize with others, establish your identity as a member of society, and properly form self-love. Dostoevsky shows that true education is through Netochka's growth process.
Upholding the Right to Healthy Environment through Judicial Interpretation of the Right to Life
Authors: Abdulkadir Abdulkadir Bolaji
Published: September 2023

The late twentieth century has experienced an unprecedented increase in legal claims for human rights and the environment. The correlation between the two subjects became apparent following the Stockholm Conference of 1972. The Stockholm Conference laid the foundation for the interconnectedness between protecting the environment and realizing the protected human rights in national and international human rights instruments. This is because it has since become obvious that environmental pollution can infringe on protected rights such as the right to life, the right to peaceful enjoyment of property, and the right to privacy, to mention but a view. Therefore, any attempt to ensure the protection of the environment will invariable and enhances the realization of basic human rights.Consequently, human rights have become a legal weapon in a claim to environmental protection through judicial interpretation and expansion of the existing human rights provisions in national and international human rights instruments. Although various fundamental rights have been interpreted to encompass the protection of the environment, this paper is limited in its scope to the concept of the right to life. Examining the two most important questions has been the purpose of discussion throughout this paper. First is the degree of willingness of the Court to adopt an extensive interpretation of the right to life to protect the environment. The other is whether the courts expand traditional human rights principles. In answering these questions, this paper looks into the courts' approach through case law for proper evaluation of the right to life in protecting the environment. Likewise, the paper adopts a doctrinal legal research method. The doctrinal legal method is issues-based and involves analysis of laws and conceptual clarifications of fundamental issues depending on the objective and purpose of a research work. Therefore, within the objective of this paper, the doctrinal research method is employed in analyzing the right to a healthy environment and the judicial approach to using the right to life in preventing environmental pollution and enhancing a healthy environment.
Tendencias evolutivas de las políticas de seguridad y defensa en las Américas
Authors: Ardila-Castro Carlos Alberto , Montero Moncada Luis Alexander , Torrijos-Rivera Vicente
Published: September 2023

El libro Tendencias evolutivas de las políticas de seguridad y defensa en las Américas es un esfuerzo colectivo para comprender hacia dónde va la discusión sobre la seguridad de las sociedades en el continente Americano. Para ello, los autores tomaron diferentes estudios de caso, logrando una perspectiva matizada de la discusión en el Hemisferio. El recorrido trae perspectivas tan variadas que incluyen países con una visión global y hegemónica como Estados Unidos, junto a otros que tienen la obligación de pensar la seguridad y la defensa a partir de marcos colectivos como Canadá con la OTAN, países que tienen el objetivo de ser potencia media como Brasil, junto a otros de aparentemente menor alcance pero que hoy son protagónicos en medio de agendas de seguridad marcadas por las migraciones, la convergencia criminal y el ciberdelito, como es el caso de Costa Rica. Evidentemente, Colombia aparece de forma transversal en varios capítulos y tiene una razón de ser clara. Esta obra pretende ofrecer un insumo de alto valor para poder realizar análisis comparados, donde no solo se conocen las perspectivas de otros países en el hemisferio, sino que permanentemente se trazan paralelos con el enfoque pasado y presente colombino. Sin lugar a duda, esta obra es un referente obligado para conocer y comprender la forma en la cual América en bloque, piensa y redefine su seguridad y su defensa, lo que a la postre es su lugar estratégico en el sistema internacional.
Perbandingan Efikasi Karbamazepin, Gabapentin Dan Amitriptilin Terhadap Nyeri Pada Penderita Polineuropati Diabetik
Authors: Wirastuti Ken , Sari Amalia Nirma , Dewi Dwi Arditi , Setyaningrum Widya Ayu , Hussaana Atina
Published: September 2023

Perbedaan mekanisme kerja obat Karbamazepin, Gabapentin, dan Amitriptilin dapat mempengaruhi efektivitasnya dalam mengurangi nyeri pada polineuropati diabetik. Untuk membantu pemilihan terapi yang paling tepat untuk mengelola nyeri tersebut, maka perlu dilakukan penelitian ini.  Penelitian dilakukan secara eksperimental dengan  rancangan pretest-posttest group design.  Pengukuran respon nyeri menggunakan Visual Analogue Scale (VAS) dilakukan sebelum dan sesudah perlakuan dengan Gabapentin, Carbamazepine, dan Amitriptyline. Perbedaan respon nyeri sebelum-sesudah dan antar perlakuan dianalisis dengan uji Mann-Whitney dan uji T-independent. Hasil penelitian menunjukkan bahwa ketiga obat tersebut  efektif dalam mengurangi respon nyeri pada pasien polineuropati diabetik, namun Amitriptyline lebih efektif pada pasien nyeri ringan sampai sedang dibandingkan dengan Gabapentin. Temuan ini memberikan informasi berharga bagi penyedia layanan kesehatan dalam memilih pengobatan yang paling efektif untuk pasien dengan nyeri polineuropati diabetik.
Pengembangan Pemasaran Konten Kampung Cibunut Berwarna Berbasis Pemasaran Otentik dengan Pendekatan Service Learning
Authors: Hermawan Daniel , Subari Fransiska Anita , Tua Roni
Published: September 2023

Colored Cibunut Village is located in RW 07, Kebon Pisang Urban Village, Sumur Bandung District, Bandung City. Having an eco-friendly creative village concept, Colored Cibunut Village consists of 5 mural zones with various themes, including environment, peace, slave labour, history, and education. In line with a request from the chairman of the Cibunut Finest Movement Foundation to increase brand awareness and the existence of an educational tourism village, both internally and externally from the people living in the Colored Cibunut Village area, it was managed by a team of Business Administration Study Program lecturers, Parahyangan Catholic University focuses on content marketing. Through the MBKM Village Project, students were provided with training for trainers and assisting partners through content marketing and learning the authentic marketing process that forms the local advantage of Colored Cibunut Village. The service learning approach is applied in 3 stages: exploration, application, and evaluation. Partners and students benefit from the MBKM Village Project. Partners gain increased knowledge and skills in content marketing. Meanwhile, students gain valuable experience interacting and implementing the knowledge gained in class to the community in Colored Cibunut Village. The service learning approach provided space for partners, lecturers, and students to complement learning by implementing research manifested in community service.
Sosialisasi dan Bimbingan Penyusunan Laporan Keuangan sesuai dengan Standar Akuntansi Keuangan Entitas Mikro, Kecil, dan Menengah (SAK EMKM) kepada Pengelola UMKM
Authors: Silmi Silmi , Triani Laura Amelia , Albar Berri Brilliant , Suryani Indah Permata
Published: September 2023

Financial reports are financial information about a business entity that must be prepared by business entity managers, including managers of Micro, Small and Medium Enterprises (MSMEs). The Indonesian Accountants Association sets two standards that MSMEs can use as guidelines in preparing their financial reports. The two standards are the Financial Accounting Standards for Entities Without Public Accountability (SAK ETAP) and the Financial Accounting Standards for Micro, Small and Medium Entities (SAK EMKM). MSME managers are free to choose both standards with the condition that they must be consistent in each report. Therefore, a webinar activity was needed for MSME managers regarding SAK ETAP and SAK EMKM. This webinar was attended by 52 participants from various MSMEs in Indonesia. The webinar implementation method consisted of 3 stages; (1) introduction of SAK EMKM, (2) applied of SAK EMKM, and (3) discussions. This webinar provided knowledge and information to MSMEs managers to be developed and applied in preparing financial reports for their MSMEs.
Information and Data Processing Training (INFOLAHTA) with Microsoft Excel for Soldiers and Civil Servants KOREM 052/Wijayakrama Kodam Jaya
Authors: Wiratama Jansen , Tobing Fenina Adline Twince , Johan Monika Evelin , Sutomo Rudi , Setiawan Johan
Published: September 2023

Within the KOREM 052/Wijayakrama Kodam Jaya environment, proficient information management and data processing have emerged as important determinants of success. In the contemporary military and civil service, mastery in extracting, analyzing, and interpreting information is indispensable for frontline service members and administrative civil servants. Therefore, this training activity is very relevant and essential in preparing them. Report and Data Processing (INFOLAHTA) addresses this need by equipping participants with the transformative potential of Microsoft Excel, positioned at the intersection of technological advancement and strategic skills. This training, led by Multimedia Nusantara University, facilitates training for soldiers and civil servants in Microsoft Excel to process data and information. The results obtained from the participants, combined with the trainers' expertise and support from KOREM 052/Wijayakrama Kodam Jaya, underscore the transformational impact of INFOLAHTA. Empowered Soldiers and Civil Servants emerge proficient at Excel, ready to perform their roles skillfully and confidently. This Community Outreach activity shows the importance of INFOLAHTA in improving professional competence and fostering a culture of continuous learning and innovation. The ongoing impact of this effort is expected to enrich the insights and capabilities of Soldiers and Civil Servants.
Artificial Intelligence approach to verify irrationality of FDCs listed by CDSCO
Authors: Thakur Ayush , Kumari Anshu , Rana Shiwank
Published: September 2023

Various Artificial Intelligence (AI) tools were utilized to verify the irrationality of Fixed-Dose-Combinations (FDCs) which were already proven irrational by CDSCO. SwissADME, one of the AI tools was able to generate properties of FDCs by using two-dimensional structures downloaded from Pubchem (a free data source). Another interesting finding was obtained by using two different AI tools ChatGPT and BARD. These AI tools identified uncommon comparative properties and predicted most of the FDCs are irrational. This suggests that these AI tools can play a crucial role in identifying irrationality in drugs. Additionally, the study looked into drug–drug interactions, and it was found that most of the FDCs are exhibited such interactions. AI tools were capable of analysing the irrationality of a significant number of drugs. However, SwissADME, one of the AI tools has limited capability in processing large structures. This proves the further need for improvements in AI technology to produce more accurate and comprehensive analyses.
Propuesta de indicadores para la planificación de la agricultura urbana en Camagüey
Authors: Sierra Reyes Yurisandra , De Dios Martínez Ana , Pereda Mouso Jorge , Rodríguez Saldaña Manuel F.
Published: September 2023

Actualmente la incorporación de la agricultura urbana en la planificación territorial, su desarrollo y contribución a la sostenibilidad urbana y soberanía alimentaria está siendo analizada a través de indicadores. El objetivo del presente artículo es fundamentar una propuesta de indicadores para la planificación de la agricultura urbana que contribuyan a la sostenibilidad y soberanía alimentaria. La metodología utilizada consiste en análisis y síntesis para el tratamiento teórico de la temática investigada. Entre los métodos empíricos se utilizaron a partir de una profunda revisión bibliográfica, el grupo de enfoque mixto para delimitación de las variables y sus indicadores y el método IADOV para validar la propuesta. Estos indicadores resultan un instrumento útil que permite la toma de decisiones por su contribución a la sostenibilidad urbana y la soberanía alimentaria. Permitirán diagnosticar y caracterizar la agricultura urbana en un territorio, relacionar sus principales componentes desde una perspectiva territorial, así como criterios y acciones para su planificación. Se concluye que, a pesar de las limitaciones para la planificación y adecuado ordenamiento de la agricultura urbana, constituye para Cuba una vía para el acceso de alimentos sostenibles, mejora la calidad de vida y preserva el medioambiente. La inserción de la agricultura urbana en la planificación urbana presupone una propuesta metodológica que articule la agricultura urbana y la planificación territorial con enfoque agroecológico bajo criterios de sostenibilidad urbana y soberanía alimentaria.
El liderazgo y su influencia en la felicidad en el trabajo: una revisión narrativa de la literatura
Authors: López Pérez Claudia Patricia , Vieira Salazar Jaime Andrés , Echeverri Rubio Alejandro
Published: September 2023

El presente artículo describe la relación entre felicidad en el trabajo y liderazgo, a través de una revisión narrativa de la literatura disponible en las bases de datos Scopus y Web of Sciences, incluyendo debates generales, revisión de estudios previos, análisis de estados del arte, y perspectivas de investigación, con el objetivo de ampliar la discusión de la relación existente entre estas dos variables y su influencia en el desempeño organizacional. Se identificaron diferentes tipos de liderazgo que han sido relacionados positivamente con la felicidad en el trabajo, como son transformacional, el altruista, el de servicio, el auténtico y el influenciador. A partir del análisis de la literatura disponible, es posible concluir sobre la relación causal ambos enfoques, sobre todo en aquellos ejercicios de liderazgo que tienen énfasis en el trabajador y su desempeño. Se busca incidir en las organizaciones desde la gestión de talento humano, y contribuir a formar líderes transformacionales, éticos, altruistas, inspiradores, auténticos y de servicio, y que impacten sus sentimientos y actitudes, así como su desempeño.
Comparison of Data-Driven Approaches to Rotorcraft Store Separation Modeling
Authors: Peters Nicholas , Wissink Andrew , Ekaterinaris John
Published: September 2023

In this study, two surrogate modeling approaches will be investigated for their ability to predict store surface pressure distributions as a store is launched from a rotorcraft in hover. To generate these surrogate models, three computational fluid dynamics (CFD) simulations were completed while varying the propulsive force assigned to the store. Once the surrogate models were generated, an additional CFD simulation with a new propulsive force was assigned to the store. The results of this validation indicate that although the proper orthogonal decomposition (POD) surrogate model struggled to provide detailed predictions of store-distributed loads, mean load variations could be modeled well. The results further indicated that by leveraging the convolutional neural network (CNN)-based surrogate model, a significant improvement in distributed load modeling could be obtained. It was further identified that once distributed loads were integrated, both POD- and CNN-based surrogate models provided a viable path for the generation of a trajectory prediction-based surrogate model for rotorcraft applications. Both POD- and CNN-based surrogate models provided significantly reduced computational costs. For each rotorcraft store separation CFD simulation, the computational cost required 10 days of simulation time across 880 central processing unit cores. While using the surrogate model, comparable predictions could be produced in under 3 min on a single core.
Astrodynamics-Informed Kinodynamic Sampling-Based Motion Planning for Relative Spacecraft Motion
Authors: Deka Taralicin , McMahon Jay
Published: September 2023

This paper presents a sampling-based spacecraft relative motion planning algorithm to reconfigure a spacecraft from a given initial state to a desired final state, subject to kinodynamic (simultaneous kinematic and dynamics) constraints. We leverage theoretical advancement in the field of sampling-based motion planning in robotics and extend their application to achieve motion planning in astrodynamics. We present an astrodynamics-informed kinodynamic motion planning (AIKMP) algorithm that takes advantage of a spacecraft’s natural motion to compute a safe, fuel-efficient motion plan for spacecraft reconfiguration in a cluttered environment. This algorithm is developed in the relative orbital element space of the deputy spacecraft around a chief spacecraft that provides very useful geometric insight to relative spacecraft motion, as well as helps in generating an overall smooth final transfer trajectory without demanding additional postprocessing of the transfer solution. Through several example scenarios, we demonstrate that the AIKMP algorithm is regularly able to compute safe and fuel-efficient solutions to relative transfer problems. We also show that this algorithm iteratively improves on its computed solutions and thus holds the capability of finding near-optimal transfer solutions given a sufficient number of algorithm iterations—without requiring an initial guess of the solution.
Enjoying the Symptom: David Foster Wallace’s Brief Interviews with Hideous Men
Authors: Lekesizalin Ferma
Published: September 2023

This article investigates David Foster Wallace’s subversion of masculinity in Brief Interviews with Hideous Men. The loud and rambling monologues of the male characters embody instances of objectifying women, glorifying predatory sexuality, and equating masculinity with quick sexual gratification. The male characters, however, seem to be constantly plagued with the threatening presence of women. In the “Brief Interviews” sections of Wallace’s collection of stories, the paradoxes and inconsistencies of the male discourse reveal the symptoms of male neurosis connected with the repressed female, the most conspicuous evidence of which is the silenced figure of the female therapist/interviewer. Rendered through dark and subversive humour, the symptoms indicate the male anxieties related with the inability to represent women. Drawing on the central concepts of Lacan and Freud, I aim to show the ways in which Wallace undermines the hegemonic notions of masculinity through his subversive use of the symptom. I argue that Wallace’s portrayals of the interviewees’ enjoyment of the symptom underlies his subversive ridicule of the male attempts of sustaining the illusory pleasure.
Apartheid’s Patriarchies in Decline: White Masculinities in Damon Galgut’s The Promise
Authors: Carolin Andy
Published: September 2023

The initial popular reception of Damon Galgut’s The Promise (2021) has overlooked issues of gender in the text, favouring instead the more narrow allegorical readings of race. In response to this, this article emphasises the novel’s engagement with the distinctly gendered nature of the transition from apartheid, focusing on the representation of white masculinities in the text. This article raises concerns about how these masculinities are depicted. Through close engagement with the text’s systematic introduction and disavowal of the constitutive forces of apartheid’s patriarchies—including fatherhood, Christianity, and the security state—this article argues that the novel’s engagement with white masculinities is one of negation; it offers a narrative mode in which white masculinities are rendered sterile, rewritten in the well-worn register of an anti-apartheid moral certitude that depends on tired tropes. While the novel attempts an important decentring of white masculinities, its outlook is ultimately bleak as white masculinities are shown to lack depth, resulting in their power in the present being curiously absented in an act of textual erasure.
Teoría del caos y su incidencia sobre la teoría de gestión
Authors: Alvarado José
Published: September 2023

El artículo, desarrollado bajo un enfoque hermenéutico-documental, tiene por objetivo analizar la teoría del caos y sus interconexiones con la teoría de gestión. Para lograr tal fin, se consideran tres aspectos centrales: 1. La visión global sobre la teoría del caos, que supuso un cambio paradigmático con respecto a los postulados de la ciencia moderna, centrados en el mecanicismo y leyes naturales enteramente deterministas, encontradas en la física de Newton y la filosofía cartesiana. Para la teoría del caos, existen diversos fenómenos que escapan del control e intervención humana; por tanto, asume el estudio de las probabilidades, incluyendo la posibilidad del desorden, el azar, la improbabilidad, a la vez que plantea que los sistemas son complejos y no lineales, susceptibles a variaciones y perturbaciones, que pueden producirse por los más mínimos cambios (efecto mariposa). 2. La aplicación de la teoría del caos sobre la teoría de gestión, donde se afirma la imposibilidad de concepciones lineales en las organizaciones, dado que las mismas son variables y propensas a desequilibrios. Por lo tanto, la gestión pasa por una serie de modificaciones, por puntos de bifurcación, producto de la alteración de los valores estándares de los sistemas. 3. Las relaciones contextuales presentes entre la teoría del caos y la teoría de gestión, representado en desordenes estructurales propios del momento actual. Finalmente, se concluye que gestionar en medio del caos, permite superar los paradigmas tradicionales de la gestión, estableciendo relaciones complejas dentro de las organizaciones, cuya esencia sea la permanente flexibilidad.
Neural network as a tool for studying cognitive processes
Authors: Бурнаева Е.М. , Рудаков А.И.
Published: September 2023

В настоящее время требуется такая классификация задач, которые должны решать системы искусственного интеллекта, при чем, задачи при использовании искусственных нейросетей (в виде получения субъективно и объективно новой информации). Нейросети уже столь сильно проникли в нашу повседневную жизнь, что представить наше существование без них уже сейчас – практически невыполнимая задача. Нейросети обучаются выполнять всё больший и больший круг задач – начиная от банальных функций общения, продолжая созданием уникальных и проработанных графических изображений, рассказов и заканчивая даже психологической помощью. Каждый день возможности применения таковой технологии расширяются и облегчают нашу современную жизнь. И оставался открытым лишь вопрос, когда же нейросети будут обучены понимать человека «без слов».

Currently, such a classification of tasks is required that artificial intelligence systems must solve, moreover, tasks when using artificial neural networks (in the form of obtaining subjectively and objectively new information). Neural networks have already penetrated so much into our daily lives that it is almost an impossible task to imagine our existence without them even now. Neural networks are trained to perform a larger and larger range of tasks - starting from the banal functions of communication, continuing with the creation of unique and elaborate graphic images, stories, and even ending with psychological help. Every day, the possibilities of using such technology are expanding and facilitating our modern life. And only the question remained open, when will neural networks be trained to understand a person “without words”.
Aggregation-induced emission materials based on restriction of intramolecular vibration
Authors: Lau Andreis , Yang Zhan , Wu Bo , Qiu Zijie , Zhao Zheng , Tang Ben Zhong
Published: September 2023

Aggregation-induced emission (AIE) is a photophysical phenomenon wherein luminescent materials exhibit weak emission in solution but strong emission after aggregation. This phenomenon has garnered significant attention in the realm of multifunctional luminescent materials. Specifically, AIE molecules, which operate through the restriction of intramolecular vibration (RIV) mechanism, have emerged as a pivotal constituent of AIE materials, captivating the interest of both academia and industry. This review aims to present a comprehensive overview of recent advancements in the domain of RIV-type AIE and its associated areas. It encompasses a survey of the classifications, molecular design strategies, and mechanisms underlying RIV-type AIE molecules. Furthermore, the review delves into the prospects and challenges encountered in the realm. We hope this review can provide novel insights into the theory, materials, and applications in the field of biochemistry and organic photoelectric.
Multiple Verdazyl Radicals Appended to a Triarylamine Scaffold
Authors: Reiber Sydney , Templeman-Vivian Bennett , Mills Michelle , Tremblay Christopher , Leitch David , Chernick Erin
Published: September 2023

We report the synthesis of three triphenylamine-based verdazyl radicals. These include a mono, bis, and tris(verdazyl) at the 4-position(s) of the N–Ar groups, containing one, two, and three unpaired electrons, respectively. Each of these compounds is air stable, and fully characterized using EPR spectroscopy, high-resolution mass spectrometry, infrared spectroscopy, UV/Vis spectroscopy, and cyclic voltammetry. From the UV/Vis absorbance data, the optical absorbance energy gaps were found to be ~2.35 eV for all three verdazyl-containing compounds. Cyclic voltammetry was used to estimate the energy levels of the singly occupied molecular orbitals (SOMOs), which are -4.91 eV, -5.12 eV, and -4.98 eV for mono, bis, and tris(verdazyl) compounds respectively. Spin-spin exchange interactions were observed in the EPR spectra of both the bis and tris(verdazyl)s, leading to additional hyperfine coupling patterns and assignment of the ground states as triplet and quartet, respectively.
Catalyst Engineering for the Selective Reduction of CO2 to CH4; A First-Principles Study on X-MOF-74 (X = Mg, Mn, Fe, Co, Ni, Cu, Zn)
Authors: McCarver Gavin , Yildirim Taner , Zhou Wei
Published: September 2023

The conversion of CO2 to more value-added chemicals stands as a critical goal for addressing environmental concerns and fostering sustainable energy sources with the CO2 reduction reaction (CO2RR) holding promise in converting CO2 into versatile feedstocks and fuels. First-principles methodologies offer a powerful approach to assess catalysts and inform experimental pursuits. We investigate CO2RR on diverse representative models of X-MOF-74 (X = Mg, Mn, Fe, Co, Ni, Cu, Zn) using first-principles methods. Our analysis reveals favorable CO2 adsorption exclusively on the Fe-MOF-74 surface. Intriguingly, the electrochemical energy needed to reduce CO2 to CH4 (0.32 eV) is minimized on the Fe open-metal site. Crucial determinants for selective CO2RR leading to CH4 formation on the Fe-MOF-74 surface emerge, encompassing unfavorable hydrogen reduction to H2, coupled with strong binding of all reduction intermediates to suppress undesired desorption of other reduced CO2 products.
Qualitative monitoring of proto-peptide condensation by differential FTIR spectroscopy
Authors: Rezaeerod Keon , Heinzmann Hanna , Torrence Alexis , Patel Jui , Forsythe Jay
Published: September 2023

Condensation processes such as wet-dry cycling are thought to have played significant roles in the emergence of proto-peptides. Here, we describe a simple and low-cost method, differential Fourier transform infrared (FTIR) spectroscopy, for qualitative analysis of peptide condensation products in model primordial reactions. This method is optimized for depsipeptides and is used to investigate their polymerization in the presence of extraterrestrial dust simulants.
11B NMR Together with IR Spectroscopy Provides Insight into Structural Elucidation of Quadrivalent Diazaborines & Cyclic Boronate Esters: The Chemist’s Perspective
Authors: Dey Ashley L.
Published: September 2023

Imidazo-fused diazaborines which serve as intermediary structures somewhat along benzene and borazine had been of particular interest to Dewar and Snyder more than 60 years ago. To this end, Dewar utilised his ‘π- complex theory’ so as to represent ‘borazaros’ as ‘quadrivalent’ species; however, sadly modern representations have deviated and leapt into ‘trivalent’ counterparts. Inasmuch as bonding in boron species has never been straightforward to such an extent that the orthodox ‘ethane’ like diborane i.e. H3B–BH3 which conferred to the paradigmatic rules of molecular structure, in particular, hybridisation and electronegativity was later evolved to a more realistic ‘3-centre 2-electron’ bonding, so as to give the lie to the purported diborane structures of X-ray diffractors, herein 11B NMR together with IR spectroscopy sheds light on the nature of bonding in borazaros and ‘caged’ cyclic oxazaborons so as to reenforce and reinvigorate the old literature which could be of interests to the synthetic and medicinal chemist alike.
An introductory tutorial to the SEEKR2 (Simulation enabled estimation of kinetic rates v. 2) multiscale milestoning software [Article v1.0]
Authors: Ojha Anupam , Votapka Lane , Huber Gary , Gao Shang , Amaro Rommie
Published: September 2023

SEEKR2 (Simulation enabled estimation of kinetic rates v. 2) is a powerful and versatile software tool designed to computationally estimate the kinetics and thermodynamics of complex molecular processes, particularly emphasizing the process of receptor-ligand binding and unbinding. We present a suite of tutorials for the SEEKR2 (Simulation enabled estimation of kinetic rates v. 2) multiscale milestoning software. This tutorial presents a comprehensive guide for users offering the best practices for preparing, executing, and analyzing molecular dynamics (MD) and Brownian dynamics (BD) simulations using SEEKR2. This tutorial highlights the advancements presented in SEEKR2 - the latest iteration within the SEEKR programs, including significant improvements in speed and capabilities compared to its earlier versions. SEEKR2 now supports both NAMD and OpenMM simulation engines, providing users with more flexibility in their simulation setups. Additionally, the BD component has been upgraded to the Browndye2 engine, enhancing the accuracy and efficiency of simulations. This tutorial aims to guide users to install SEEKR2, run MD and BD simulations within the framework of the SEEKR2 program, and analyze and interpret the kinetics and thermodynamics of binding and unbinding of model host-guest systems, thereby demonstrating its ease of usability and extensible features that allow for future expansions of the method. This tutorial equips users with the necessary knowledge to effectively prepare, execute, and analyze simulations using SEEKR2. By following the best practices outlined in the tutorial, users can leverage the power of the SEEKR2 program to gain insights into complex molecular processes and accelerate their understanding of key biomolecular interactions.
Comparative techno-economic and life-cycle analysis of precious versus non-precious metal electrocatalysts: The case of PEM fuel cell cathodes
Authors: Pedersen Angus , Pandya Jinil , Leonzio Grazia , Serov Alexey , Bernardi Andrea , Stephens Ifan , Titirici Maria-Magdalena , Petit Camille , Chachuat Benoît
Published: September 2023

Sluggish kinetics in the oxygen reduction reaction (ORR) require significant quantities of expensive Pt-based nanoparticles on carbon (Pt/C) at the cathode of proton exchange membrane fuel cells (PEMFCs). This catalyst requirement hinders their large-scale implementation. Single atom Fe in N-doped C (Fe-N-C) electrocatalysts offer the best non-Pt-based ORR activities to date, but their environmental impacts have not been studied and their production costs are rarely quantified. Herein, we report a comparative life-cycle assessment and techno-economic analysis of replacing Pt/C with Fe-N-C at the cathode of an 80 kW PEMFC stack. In the baseline scenario (20 gPt/C vs. 690 gFe-N-C), we estimate that Fe-N-C could reduce damages on ecosystems and human health by 88-90% and 30-44%, respectively, while causing a comparable impact on resource depletion. The environmental impacts of Pt/C predominantly arise from the Pt precursor while those of Fe-N-C are presently dominated by the electricity consumption. The monetized costs of environmental externalities for both Fe-N-C and Pt/C catalysts exceed their respective direct production costs. Based on catalyst performance with learning curve analysis at 500,000 PEMFC stacks per annum, we estimate replacing Pt/C with Fe-N-C would increase PEMFC stack cost from 13.8 to 41.6 USD kW-1. The cost increases despite a reduction in cathode catalyst production cost from 3.41 to 0.79 USD kW-1 (excluding environmental externalities). To be cost-competitive with a Pt-based PEMFC stack delivering 2020 US Department of Energy target of 1,160 mW cm-2 (at 0.657 V), the same stack with an Fe-N-C cathode would need to reach 874 mW cm-2, equivalent to a 200% performance improvement. These findings demonstrate the need for continued Fe-N-C activity development with sustainable synthesis routes in mind to replace Pt-based cathode catalyst in PEMFCs. Based on forecasting scenarios of fuel cell vehicle deployment targets, we find that Pt consumption would be constrained by Pt supply.
Ni-Electrocatalytic Decarboxylative Arylation to Access Quaternary Centers
Authors: Laudadio Gabriele , Neigenfind Philipp , Péter Áron , Rubel Camille Z. , Emmanuel Megan A. , Oderinde Martins S. , El-Hayek Ewing Tamara , Palkowitz Maximilian D. , Sloane Jack L. , Gillman Kevin W. , Ridge Daniel , Mandler Michael D. , Bolduc Philippe , Nicastri Michael C. , Zhang Benxiang , Clementson Sebastian , Nasser Petersen Nadia , Martín- Gago Pablo , Mykhailiuk Pavel , Engle Keary M. , Baran Phil S.
Published: September 2023

There is a pressing need, particularly in the field of drug discovery, for general methods that will enable direct coupling of tertiary alkyl frag-ments to (hetero)aryl halides. Herein a uniquely powerful and simple set of conditions for achieving this transformation with unparalleled generality and chemoselectivity is disclosed. This new protocol is placed in context with other recently reported methods, applied to simplify the routes of known bioactive building blocks molecules, and scaled up in both batch and flow. The role of pyridine additive as well as the mechanism of this reaction are interrogated through Cyclic Voltammetry studies, titration experiments, control reactions with Ni(0) and Ni(II)-complexes, and ligand optimization data. Those studies indicate that the formation of a BINAPNi(0) is minimized and the formation of an active pyridine-stabilized Ni(I) species are sustained during the reaction. Our preliminary mechanistic studies ruled out the involvement of Ni(0) species in this electrochemical cross-coupling, which is mediated by Ni(I) species via a Ni(I)-Ni(II)-Ni(III)-Ni(I) catalytic cycle.
Predicting the Solubility of Gases, Vapors, and Supercritical Fluids in Amorphous Polymers from Electron Density using Convolutional Neural Networks
Authors: Gromov Oleg
Published: September 2023

A twin convolutional neural network is proposed to predict the pressure and temperature-dependent sorption of gases, vapors, and supercritical fluids in amorphous polymers based solely on spatial electron density distribution. Quantum chemical data as 3D tensors (3D images) is derived from DFT calculations. A dataset of almost 15000 experimentally measured uptakes (0.01-50 wt%) of 79 gases in 102 different polymers under pressures from 1E-3 – 7E+2 bar range and temperatures from 233-508 K range is collected from over 250 literature sources. The dataset includes measurements on almost 500 solvent-polymer systems spanning from typical low-pressure sorption in membrane glassy polymers to high-pressure solubility of supercritical fluids in molten polymers. Irreducible mean absolute percentage error (MAPE) is approximately estimated to be ~20%. The sources of inherent data variability are briefly discussed. In 150 epochs, the model achieved 31% MAPE on a test set of 1600 experimental measurements concerning 22 polymers previously unseen by the model.