bluuebunny/crossref_metadata_2025 huggingface dataset:
Actigraphy: An Adjunctive Method to Measure Irritability in Opioid-Exposed Newborns
Authors: Liu Vivian Y. , Flahive Julie M. , Bloch-Salisbury Elisabeth
Published: June 2023

Background and purpose:Conventional measures of withdrawal in newborns with prenatal opioid exposure (POE) rely on nursing assessments, including the subjective judgment of infant irritability. This study investigated limb movement actigraphy as a tool for providing an objective, quantifiable measure of underlying distress.Methods:Correlational analyses compared continuous physiological-detected movement actigraphy and clinical intervallic-scored symptomology (modified Finnegan system) obtained from a control cohort of 37 term neonates with POE studied in their crib in the newborn unit (1–8 days).Results:Infants spent 15% crib time in high movement activity (>100 movements/minute; index irritability) and 38% crib time in low activity (0–5 movements/minute; index calm). There was a significant positive association between actigraphy and Finnegan composite score (r= .28,p= .001) and between actigraphy and subcomponent scores (i.e., central nervous system, gastrointestinal, and metabolic-vasomotor-respiratory).Conclusion:Movement activity via actigraphy captures underlying distress and calm not measured by conventional assessments. Such objective, quantifiable measures can serve to promote equitable assessment and treatment of hospitalized newborns with POE.
Editorial El ENIIU: un espacio para el fomento de las vocaciones científicas
Authors: Vargas Hernández Diana Vargas Hernández
Published: June 2023

Nuevamente la Revista Habitus presenta una selección especial de trabajos presentados en el Encuentro de Investigación Universitaria (ENIIU), que llega a su sexta versión. Este evento científico es organizado anualmente por las universidades pertenecientes al Consejo Departamental de Educación Superior de Boyacá (CODES)[2], que incluye a las instituciones públicas y privadas con más presencia y tradición en el departamento.

El ENIIU supone un esfuerzo interinstitucional con un propósito claro: hacer visible el trabajo investigativo realizado por los estudiantes ―nacionales e internacionales―, tanto en semilleros de investigación como en fase de trabajos de grado de pregrado o posgrado. El ENIIU está diseñado para destacar el papel de los estudiantes como investigadores en formación y dar a conocer el alcance de sus trabajos desde una perspectiva interdisciplinar.

En este escenario convergen la juventud, la curiosidad y la rigurosidad, orientadas a pensar y a comunicar las posibles soluciones científicas a diferentes situaciones problémicas del entorno. También es una apuesta didáctica para resaltar el papel de los estudiantes y la importancia de consolidar sus vocaciones científicas.

 

[1]

[2]  La Universidad Pedagógica y Tecnológica de Colombia (UPTC), la Universidad Santo Tomás (Seccional Tunja), la Universidad Nacional Abierta y a Distancia (UNAD), la Universidad Antonio Nariño (UAN), la Universidad de Boyacá, la Fundación Universitaria Juan de Castellanos y la Escuela Superior de Administración Pública
Criminal Sentencing in the CRPD Era: Lessons from Singapore
Authors: Yang Daryl WJ
Published: June 2023

On 27 April 2022, Singapore executed Nagaenthran K. Dharmalingam, a 33-year-old Malaysian who was convicted of trafficking 42.72 grams of heroin. His execution was carried out despite calls from United Nations (UN) human rights experts, including the Special Rapporteur on the Rights of Persons with Disabilities, for the government to commute his death sentence inter alia on the basis that Nagaenthran did not have access to procedural accommodations for his disability during his interrogation and death sentences should not be carried out on persons with serious psychosocial and intellectual disabilities. Nagaenthran’s execution has put Singapore’s criminal legal system, particularly in respect of its treatment of offenders with intellectual and psychosocial disabilities, under international scrutiny.
Preparation of a hollow fiber membrane made of antifouling PVDF/Zeolit using the dip-coating technique
Authors: Mumtazah Zuhriah , Adinda Yufriza  , Husna Wardati  , Ditta Kharisma Yolanda Putri  , Meta Fitri Rizkiana  , Reva Edra Nugraha
Published: June 2023

The practical technique for membrane modification is dip coating. This study coats a PVDF hollow fiber membrane-based composite with a coating of zeolite. The composite is made of a polyvinylidene fluoride (PVDF) membrane. During water filtering, the separation capabilities and propensities of composite membranes for organic impurities were examined. SEM and Fourier-transform infrared spectroscopy analysis of the findings demonstrated that the Zeolite coating was successfully deposited on the PVDF membrane. The flux recovery ratio increases from 69% to 80% while the relative flux drop decreases from 63% to 50%. A composite PVDF membrane dip-coating of Fe2O3/Zeolite with a GA and H2SO4 ratio of 1:2 is needed to remove about 75% of humic compounds from effluent. The results of this study show that the addition of Fe2O3/Zeolite with a GA and H2SO4 layer can greatly improve the hydrophilicity, selectivity, and anti-organic fouling of the PVDF hollow fiber membrane.
PENGARUH MODEL PEMBELAJARAN PROBLEM BASED LEARNING BERBANTUAN E-LKPD TERHADAP AKTIVITAS DAN HASIL BELAJAR SISWA SMA POKOK BAHASAN BESARAN DAN SATUAN
Authors: Febrianti Intan Rania , Subiki Subiki , Supriadi Bambang
Published: June 2023

Penelitian ini bertujuan untuk mengetahui pengaruh penerapan model pembelajaran PBL berbantuan E-LKPD terhadap aktivitas dan hasil belajarserta respon siswa setelah pembelajaran menggunakan model PBL berbantuanE-LKPD pada pokok bahasan besaran dan satuan. Jenis penelitian ini adalaheksperimen. Populasi penelitian ini adalah kelas X SMA Negeri 2 Jember tahunajaran 2022/2023 dengan menggunakan dua sampel penelitian yaitu kelaskontrol dan kelas eksperimen. Penelitian ini menggunakan uji normalitas danjika data terdistribusi normal akan dilanjutkan dengan uji hipotesismenggunakan uji independent sampel t test, sedangkan jika data tidakterdistribusi normal maka akan dilakukan uji hipotesis menggunakan mannwhitney u. Setelah dilakukan analisis data diperoleh hasil untuk aktivitas belajardilakukan uji t dan menghasilkan signifikan sebesar 0,000 yang artinya tesdinyatakan signifikan dan untuk hasil belajar dilakukan uji mann whitney ukarena data tidak terdistribusi normal dan didapatkan hasil signifikan sebesar0,000 yang artinya tes dinyatakan signifikan. Hasil penelitian dapat disimpulkanterdapat pengaruh model PBL berbantuan E-LKPD terhadap aktivitas dan hasilbelajar siswa SMA pada pokok bahasan besaran dan satuan.
The effect of learner-generated digital materials on learners’ deep learning approach and self-efficacy
Authors: Alwafi Enas Mohammad
Published: June 2023

This study aimed to explore the effect of learner-generated digital materials on students’ deep learning approach and self-efficacy. A quasi-experimental design that involves a pre-test, a post-test, a control group and an experiment group was used in this study which involved 51 students (25 students participated in the control group and 26 students participated in the experiment group). A questionnaire was used to measure students’ deep learning approach and self-efficacy. The study found that students in the experimental group improved their deep learning approach and self-efficacy more than students in the control group.  Learner-generated digital materials can enhance students’ learning experiences. This study contributes new knowledge about the methods by which learner-generated digital material can be used as a learning approach. It also provides insight on how digital tools can be used to support students learning. This study provides recommendations for employing learner-generated digital materials to engage students in the learning experience.
Адитивні технології виготовлення сувенірної продукції
Authors: Володько Марина Юріївна , Клименко Тетяна Євгенівна , Талімонова Надія Леонідівна
Published: June 2023

Враховуючи особливості зразків 3D продукції, що в подальшому можуть застосовуватись у різних галузях, важливо обирати оптимальні режими друку, щоб покращити їх якість та скоротити час на застосування операцій післядрукарської обробки. Актуальність досліджень пов’язана з тим, що виробництво сувенірної продукції із застосування адитивних технологій з кожним роком має більший попит в області рекламного ринку, зростає і конкуренція на ринку серед підприємств, які виробляють сувенірну продукцію цього типу, що підвищує вимоги до якості товарів даного виду.
Метою роботи є огляд та класифікація адитивних технологій друку для створення 3D виробів сувенірної продукції, аналіз програмного забезпечення, обладнання та витратних матеріалів для виготовлення 3D сувенірів.
Здійснено аналітичний огляд сучасного стану адитивних технологій друку для створення 3D виробів сувенірної продукції, що спрямовано на визначення методів удосконалення існуючих принципів організації технологічного процесу під час виготовлення сувенірів, з урахуванням вимог та особливостей 3D друку. Проаналізовано основні аспекти адитивного виробництва та класифіковано сучасні адитивні технології 3D друку, що дозволить збільшити ефективність їх використання під час виготовлення сувенірних виробів. Розглянуто технічні характеристики обладнання для здійснення виготовлення сувенірної продукції із застосуванням 3D друку, основні технології та витратні матеріали, що застосовують при цьому, та напрями використання 3D обладнання. Використання адитивних технологій для рекламно-сувенірного виробництва дозволить об’єднати новітні наукові розробки в галузях поліграфічного обладнання та технологій, матеріалознавства, моделювання 3D сувенірів та програмного забезпечення. Інтегрування в нову інноваційну систему усуває низку проблемних питань щодо необхідності стандартизації сувенірного 3D виробництва, вдосконалення методів організації та управлінням поліграфічним виробництвом.
Вплив мікрорельєфних напрямних на якість друкованої продукції тампонного друку
Authors: Киричок Петро Олексійович , Чепурна Катерина Олександрівна , Коробка Максим Володимирович
Published: June 2023

У роботі розглянуто використання мікрорельєфних напрямних на робочих поверхнях поліграфічного устаткування, що дозволяє покращити функціональні властивості механізмів і поверхонь, що контактують. Запропоновано застосувати мікрорельєфні напрямні на транспортувальних механізмах тампонного друку. Для забезпечення точного позиціювання виробів, суміщення фарб та відсутності графічного спотворення зображень транспортувальний механізм не повинен мати паразитних поперечних коливань при збільшенні робочої швидкості друку. Для забезпечення точного позиціювання виробів у зоні друку, запропоновано двоетапну технологію утворення мікронапрямних на транспортувальному механізмі тампонного пристрою. Експериментально встановлено підвищення точності позиціювання виробів при підвищенні робочої швидкості друку, а саме до 1200 цикл./год, при застосуванні мікрорельєфних напрямних на транспортувальному механізмі виробів. Для вертикальних контрольних полів точність позиціювання контрольних полів збільшується на 21 %, для горизонтальних контрольних полів на 28 %. Виявлено, що застосування мікрорельєфних напрямних на транспортувальних механізмах у тампонному друці, сприятиме покращенню позиціювання виробів у зоні друку при збільшенні робочої швидкості друку.
Effects of shading nets as a form of adaptation to climate change on grapes production: a review
Authors: Pallotti Luca , Silvestroni Oriana , Dottori Edoardo , Lattanzi Tania , Lanari Vania
Published: June 2023

Viticulture worldwide is threatened by the environmental modification caused by climate change. Higher temperature and atmospheric CO2 concentration determine an acceleration of the ripening process, which can be detrimental to wine quality. Hence, adaptation and mitigation strategies are necessary to reduce heat and water stress and improve the qualitative production levels. Amongst all the various techniques available, shading nets represent an interesting alternative for their effects on canopy microclimate and grape production. However, these effects vary strongly depending on the intensity of the shading treatment, the timing of its application, environmental conditions, and differences in cultivar response. The reduction in photosynthetic activity can improve water use efficiency and slow down the ripening process, preserving must acidity. Phenolic compounds, which benefit from light exposure for their synthesis, are negatively affected by shading, while aromatic composition can be improved by it. Vine reserve accumulation is reduced by the lower photoassimilates production. Photoselective nets, thanks to their colour, not only reduce light intensity but also change the quality of the light spectrum reaching the canopy, thus, determining specific responses in the plants.
Les crises forestières dans le Grand Est : un défi pour la filière bois aujourd’hui. Menaces ou opportunités pour demain ?
Authors: Renaud Jean-Pierre , Lévy Frédéric , Sauvestre Gilles
Published: June 2023

Les forêts dans la région Grand Est représentent un enjeu économique et territorial considérable. Les dépérissements subis par ces forêts depuis 2018 ont décimé des milliers d’hectares et concernent la plupart des essences présentes, à commencer par l’Épicéa en plaine, très touché par les attaques de scolytes. Les conséquences pour la filière bois sont considérables, avec la récolte anticipée de millions de m3, l’engorgement des marchés et les difficultés pour valoriser un bois de qualité dépréciée. Des solutions d’urgence ont pu être trouvées pour faire face à la crise. Des pistes d’actions sont avancées pour prévenir d’autres crises, dont l’occurrence est prévisible avec les conséquences des changements climatiques.
Messages clésLa crise « scolytes » récente est liée à des conditions météorologiques exceptionnelles.Elle a provoqué des dépérissements inédits d’épicéas.Les conséquentes sur la filière bois sont très importantes.
Conséquences des coupes sanitaires sur la résilience des écosystèmes forestiers perturbés : une revue de la littérature
Authors: Cours Jérémy , Larrieu Laurent , Sallé Aurélien , Bouget Christophe
Published: June 2023

Les coupes sanitaires sont utilisées pour limiter l’impact sanitaire et économique des dépérissements forestiers. Dans cette revue de la littérature, nous avons examiné l’impact de ces coupes sur les services écosystémiques associés à la résilience des écosystèmes forestiers. Les coupes sanitaires affectent les communautés d’espèces forestières en réduisant la part des espèces de forêts fermées et en promouvant celles de milieux plus ouverts. Les essences dryades et à régénération obligatoire par graine sont plutôt défavorisées. Les caractéristiques physicochimiques des sols sont également affectées. Une meilleure prise ne compte des facteurs environnementaux dans les choix de gestion est recommandée.
Messages clésLes coupes sanitaires s'additionnent à la sévérité des perturbations naturelles.Elles affectent négativement les espèces de milieux forestiers fermés au profit d'espèces de milieux forestiers ouverts.Elles peuvent induire une baisse de résilience dans les écosystèmes forestiers perturbés.
Quelle vision des forêts pour les défenseurs de l’environnement par rapport aux effets du réchauffement climatique ?
Authors: Dalo Patrice
Published: June 2023

La société se préoccupe de plus en plus de questions forestières essentiellement sous l’angle de la protection de la nature, ou sous sa forme moderne, de la préservation de la biodiversité. Les attentes de la société s’expriment à travers un tissu associatif fédéré en particulier par France Nature-Environnement. Les préoccupations les plus souvent exprimées concernent les coupes rases, la protection d’espèces emblématiques et l’introduction d’espèces exotiques, tout en reconnaissant l’importance du contexte de changements climatiques de plus en plus prégnant. Ces préoccupations doivent trouver leur place dans un dialogue apaisé avec les gestionnaires forestiers dans le cadre de concertations régionales et nationales.
Messages clésFrance Nature Environnement défend un modèle de concertation autour de la gestion multifonctionnelle.Dans ce modèle, les services de production (de bois) et de protection (de la biodiversité) sont pris en compte.
FORESTYS : une start-up pour évaluer les essences pour le futur dans un contexte de climat changeant
Authors: Pottecher Georges
Published: June 2023

La recherche en écologie forestière menée à Nancy a débouché sur la création de FORESTYS, une entreprise spécialisée dans l'analyse des stations forestières. Dans un contexte évolutif et incertain elle apporte des informations pour le choix d'essences potentiellement adaptées. La démarche approfondie et l'utilisation des simulations climatiques récentes objectivent localement les risques et les opportunités forestières, sans éliminer les incertitudes. Les retours d'expérience montrent le chemin restant à parcourir pour actualiser la prise en compte de l'écologie forestière en sylviculture.
Messages clésFORESTYS est une entreprise spécialisée dans l’analyse des stations forestières.Les informations fournies permettent d’orienter le choix des essences.
« Crises en forêt : Impacts économiques et viabilité des solutions d’adaptation » : synthèse de l’atelier
Authors: Brèteau-Amores Sandrine , Rivière Miguel
Published: June 2023

Cet article présente les résultats de la discussion sur le thème « Crises en forêt : impacts économiques et viabilité des solutions d’adaptation » menée lors des ateliers ReGeFor 2020.
Messages clésLors de sondages, la crise en forêt la plus souvent citée est celle liée à la sécheresse.Ces crises ont des répercussions directes sur la fourniture en bois et le contexte socioprofessionnel de la filière.Un meilleur dialogue entre tous les acteurs est indispensable pour mieux gérer les crises.
AVALIAÇÃO DOS EGRESSOS DO PROGRAMA DE PÓS-GRADUAÇÃO EM GEOGRAFIA DA UNIVERSIDADE FEDERAL DE UBERLÂNDIA
Authors: Souza Kelma de , Ramires Julio Cesar de Lima , Colesanti Marlene Teresinha de Muno
Published: June 2023

Visando a melhoria da qualidade de ensino e pesquisa, a avaliação das instituições de ensino é realizada por órgãos de controle e fomento. Nesse contexto, um dos grupos que requer atenção são os egressos. O presente estudo objetivou traçar o perfil dos diplomados pelo Programa de Pós-Graduação em Geografia da Universidade Federal de Uberlândia (PPGeo/UFU) e assim apresentar instrumentos para auxiliar na avaliação dos programas, bem como identificar geograficamente e a área de vínculo profissional dos egressos. Para tanto, foram analisados o total de 711 egressos, formados entre 2000 e 2020. A coleta de dados ocorreu nas atas de defesas, dissertações e teses, bem como nos currículos cadastrados na Plataforma Lattes. Além de brasileiros, a formação alcançou alunos de outras 6 nacionalidades. A abrangência geográfica dos vínculos profissionais dos egressos contempla 4 países estrangeiros, 21 estados e 110 cidades brasileiras. A UFU recebeu maior destaque, sendo mencionada em 161 (23%) currículos como a instituição de vínculo profissional do egresso. Por sua vez, 57% informaram exercer atividades no ensino, evidenciando a importância do PPGeo/UFU nesse segmento. Espera-se que este estudo sirva de incentivo para a incorporação sistemática de egressos no conjunto de dados do programa, ampliando o escopo de sua avaliação, criando ferramentas para a constituição de um banco de dados do público aqui levantado, podendo, também ser esse conjunto de medidas uma referência para a área de Geografia no âmbito da Capes.
Tinjauan Pustaka Sistematis: Model Kemitraan antara SMK dengan Dunia Usaha dan Dunia Industri
Authors: Soleh Ali Ahmadi , Triyanto Triyanto , Parno Parno , Suharno Suharno , Estriyanto Yuyun
Published: June 2023

Vocational education has a very important role in the national education system to create a quality national workforce. One of the programs to increase the absorption of SMK graduates in industry is the existence of a partnership program between SMKs and the Business and Industrial World (DUDI). Based on 19 articles published in 2018-2022 concerning partnerships between SMKs and DUDI, several partnership models have been established, including curriculum alignment based on industry needs, teacher and student apprenticeships, guest teachers from industry, industrial visits, teaching factory assistance, testing competency certification, employee recruitment, and infrastructure support. Some of the obstacles and challenges encountered, namely the partnership program has not been implemented optimally, the work unit is not suitable, the contents of the memorandum of understanding (MoU) have not been fully realized, the form of partnership activity is unclear, lack of concern for both SMK and DUDI in implementing the partnership program, and competition between industry causes a lack of industry trust to involve students in the production process. While the opportunities that exist include the involvement of Vocational Schools in the production process through Teaching Factory, technology updates, student competency according to industry needs and the absorption of graduates by industry is increasing.
A hybrid system for multi-step mortality rate forecasting
Authors: Duarte Filipe Coelho de Lima , Neto Paulo S. G. de Mattos , Firmino Paulo Renato Alves
Published: June 2023

Forecasting mortality is challenging. In general, mortality rate forecasting exercises have been based on the supposition that predictors residuals are random noise. However, issues regarding model selection, misspecification, or the dynamic behavior of the temporal phenomenon lead to biased or underperformed single models. Residual series might present temporal patterns that can still be used to improve the forecasting system. This paper proposes a new multi-step Hybrid System for Mortality Forecasting (HyS-MF) that combines ARIMA with N-BEATS. HyS-MF employs (i) ARIMA to model the mortality time series and (ii) one expert N-BEATS to forecast the residuals in each specific time horizon. The final output is generated by summing ARIMA with the N-BEATS forecasts in each time horizon. HyS-MF achieved a Mean Absolute Percentage Error (MAPE) average less than 1.6% considering all prediction horizons, beating statistical techniques, machine learning models, and hybrid systems considering 20 different time series from the French population mortality rate.
Interpretable Deep Learning Model for Crop Yield Prediction: A Case Study of Wheat Yield Prediction in Egypt.
Authors: Osibo Benjamin Kwapong , Ma Tinghuai , Wahab Mohamed Magdy Abdel , Jia Li , Wenzheng Ye , Bediako-Kyeremeh Bright , Osei-Appiah Stephen
Published: June 2023

Accurately predicting crop yield can be challenging due to the environmental, biological and technological factors that directly influence crops and farms. However, proper estimation of crop yield is of great importance to food security and crop harvest management. Recent studies have shown that machine learning (ML) or deep learning (DL) techniques can be used effectively for crop yield prediction due to their ability to capture patterns and make accurate predictions in time series data. In this study, we present an attention-based long short-term memory (LSTM) and extreme gradient boosting (XGB) hybrid regressor model for crop yield prediction. The LSTM block is trained to capture the temporal dependencies and also learn features from the time series input data, while the XGB is used to make predictions based on the trained extracted LSTM features. The dataset used in this research comprises average yield, climatic variables, soil and moderate-resolution imaging spectroradiometer (MODIS) data. Also, to deal with the black box nature associated with ML and DL models, we employ the explainable artificial intelligence (XAI) tool SHAP to interpret how our proposed LSTM-XGB method made predictions. Furthermore, we compared the performance of our proposed method to three other state-of-the-art (SOTA) models; LSTM, light gradient boosting machine regressor (LGBMR) and deep neural network (DNN). Results from our experiment show the superior performance of our proposed hybrid LSTM-XGB in comparison to other methods.
Humoral immune response to omicron infection in long-term Wuhan-Hu-1-imprinted population
Authors: Lu Yingying , Zhu Yufang , Zheng Yulan , Tang Lu , Chen Hui , Zhou Caili , Luo Jiayuan , Yang Xuejiao , Yu Lu , Hu Qiyan , Zhang Ruihua , Cui Miao , Lu Aili , Liu Feng , Xu Yunsheng , Zheng Zhihua , Cheng Zhengjiang , Hong Peng
Published: June 2023

Recent WHO vaccination guidance no longer recommends COVID-19 vaccination beyond the first booster in low risk population, citing high population-level hybrid immunity due to widespread omicron infections.1 Although SARS-CoV-2 infection confers durable protection against reinfection,2-4 it may also produce immune imprinting, which skews subsequent immune response to variant antigens toward the first-exposed antigen based on the antigenic distance.5,6 China has the earliest and exclusively Wuhan-Hu-1(WH1)-imprinted population before the 2022 nation-wide omicron outbreak,7 which offers a unique opportunity to study long-term immune imprinting between most antigenically distant strains. Here, we assessed pseudovirus neutralization activity and anti-WH1 receptor binding domain (RBD) antibodies in 4 Chinese cohorts with hybrid or vaccine-only imprinting, or naïve to SARS-CoV-2 prior to omicron BF.7 infection. Both hybrid and vaccine-only imprinting augmented post-infection serum neutralization of WH1 and omicron sub-variants BF.7/BQ.1.1/XBB.1.5 comparing to naïve background. Feedback from pre-existing high-affinity antibodies limited the magnitude of humoral immune response to omicron infection without compromising protection, while antigenic seniority of pre-existing cross-reactive B cells only slightly reduces forward neutralization breadth in hybrid- and RBD vaccine-imprinted participants. Our results support the effectiveness of hybrid immunity against omicron reinfection in long-term imprinted population and provide immunological basis for similar epidemiological findings.8-10
Clinical study of drug-loaded calcium sulfate in the treatment of hematogenous osteomyelitis in children
Authors: Liu Dun , Rehemutula Aierken , Si Yu , Zhou Hong yu , Li Jing yang , Chen Zi hao , Li Li
Published: June 2023

Background
At present, good results have been obtained in the treatment of hematogenous osteomyelitis(HO) in children by the use of drug-loaded calcium sulfate, but there are few clinical studies reported. The aim of this study was to investigate the clinical efficacy of radical debridement combined with drug-laden calcium sulphate antibiotics in paediatric haematogenous osteomyelitis.
Methods
In this study, we retrospectively analyzed the clinical data of 15 cases of pediatric hematogenous osteomyelitis admitted to our hospital in recent years. A total of 15 pediatric patients with HO treated in our hospital from January 2018 to February 2022 were included for evaluation.
Results
All 15 patients were treated with drug-laden calcium sulfate, and the antibiotic of choice was vancomycin in 14 cases and vancomycin combined with gentamicin in 1 case. The follow-up period ranged from 12 to 36 months, with a mean follow-up time of 24.73 months, and all children were treated with drug-laden calcium sulfate with satisfactory clinical outcomes. The results of serological examination showed that the preoperative white blood cell count level, C-reactive protein and erythrocyte sedimentation rate were higher than the postoperative ones, and the differences were statistically significant (P < 0.05).After the operation, referring to the treatment standard of McKee's osteomyelitis, 15 cases were cured without recurrence; According to the Lower Extremities Functional Scale, 12 cases were excellent, 2 cases were good and 1 case was moderate, with an excellent rate of 93.33%. Children with lower limb involvement could walk with full weight bearing, and gait was basically normal.
Conclusion
Drug-loaded calcium sulfate is a good therapeutic
Ultraflexible, cost-effective and scalable polymer-based phase change composites for wearable thermal management
Authors: Jing Yaoge , Zhao Zhengchuang , Cao Xiaoling , Sun Qinrong , Li Tingxian , Yuan Yanping
Published: June 2023

Phase change materials (PCMs) offer great potential for realizing zero-energy thermal management due to superior thermal storage and stable phase-change temperature. However, the liquid leakage and solid rigidity of PCMs are two long-standing challenges for PCM-based wearable thermal management applications. Herein, a facile and cost-effective strategy is reported, which utilizes the peroxide radical-initiated mechanism to develop ultraflexible polymer-based phase change composites with a dual 3D crosslinked network of olefin block copolymers (OBC) and styrene-ethylene-butylene-styrene (SEBS) inside PCMs. The synergistic effect of OBC-SEBS dual network on brittleness and elasticity enhancement enables the resultant paraffin wax (PW) composites of PW@OBC-SEBS to present outstanding flexibility (strain at break of 20-560%), high latent heat enthalpy (~ 176 J/g), superior thermal stability, and leakage-proof properties. Notably, the proposed peroxide-assisted sequential blending approach overcomes the limitations of traditional heavy processing equipment, achieving low-cost and efficient large-scale production. Furthermore, the applicability of a portable and flexible PW@OBC-SEBS module for wearable thermal management is demonstrated. The energy module can maintain a thermal comfort temperature range of 39-41°C, highlighting the realization of stable temperature control for personal thermotherapy. Our work provides a promising route to fabricate scalable and flexible polymer-based phase change composite for wearable thermal management.
COMBSS: Best Subset Selection via Continuous Optimization
Authors: Moka Sarat , Liquet Benoit , Zhu Houying , Muller Samuel
Published: June 2023

The problem of best subset selection in linear regression is considered with the aim to find a fixed size subset of features that best fits the response. This is particularly challenging when the total available number of features is very large compared to the number of data samples. Existing optimal methods for solving this problem tend to be slow while fast methods tend to have low accuracy. Ideally, new methods perform best subset selection faster than existing optimal methods but with comparable accuracy, or, being more accurate than methods of comparable computational speed. Here, we propose a novel continuous optimization method that identifies a solution path, a small set of models of varying size, that consists of candidates for the best subset in linear regression. Our method turns out to be very fast, making the best subset selection possible when the number of features is well in excess of thousands. Because of the outstanding overall performance, framing the best subset selection challenge as a continuous optimization problem opens new research directions for feature extraction for a large variety of regression models.
Tomographic Reconstruction of the Solar K-Corona using Neural Fields
Authors: Ramos Andrés Asensio
Published: June 2023

We explore the application of neural fields for tomographic reconstructions of the solar corona using data from the LASCO-C2 instrument. We first demonstrate their ability to recover the electron density volume in a synthetic static case, utilizing a simulated 3D model of the corona. Our results show that neural fields provide an efficient and accurate representation of the electron density data. By comparing the synthesized polarized brightness from the modeled electron densities and the observations, we validate the performance of the method in recovering the electron density structure accurately. Furthermore, we extend our analysis to the dynamic case, considering time-dependent reconstructions. To this end, we incorporate the temporal dimension into the neuralfield. The results demonstrate that neural fields can effectively capture the temporal variability of the coronal electron density.We apply the developed tomographic strategy to real observations from the LASCO-C2 instrument. Using a sequence of LASCO-C2 images, we reconstruct the electron density distribution of the solar corona for a specific period. The reconstructed electron densities are able to reproduce the observed features of the polarized brighness with high fidelity. The results indicate that neural fields provide a powerful tool for tomographic reconstructions, yielding electron density maps with minimal artifacts and improved agreement with observations.Neural fields offer several advantages, including efficient interpolation, easy to implement implicit and explicit regularization, and the ability to capture temporal variability. The proposed approach has the potential to enhance our understanding of the complex dynamics and structures of the solar corona, enabling more accurate and detailed analyses of coronal features.
Convolutional Neural network-based classifiers for liver tumor detection using Computed Tomography scans
Authors: CHALLAGUNDLA YAGNESH , Chintalapati Lohitha Rani , Tunuguntla Trilok Sai Charan , Devarakonda Nagaraju
Published: June 2023

Automatic detection and segmentation of liver tumors from CT scans is a challenging task due to their complex morphology in CT images, but advances in deep learning have made it possible to achieve high accuracy in the segmentation and detection of liver tumors, eliminating the need for manual intervention and allowing radiologists to focus more on critical diseases by giving awareness about the liver tumor at an early stage, which may save a person's life by allowing them to receive treatment sooner, possibly preventing further severity or death. In our study, we worked on different approaches to detect liver tumors from CT scans and analyzed their performance in terms of accuracy. A few of the approaches employed are using Convolutional neural networks including existing ones like U-Net, ResNet50, while we proposed a combination of multiple CNN models to obtain better results. It was observed that the combination of CNN models produced higher accuracies rather than the existing models.
Green synthesis of silver nanoparticles by S.nervosum leaf extract exhibits high antibacterial activity
Authors: Cong Hong Hanh , Pham Sy Hieu , Nguyen Hong Nhung , Tran Que Chi , Tran Thi Huong , Pham Duy Khanh , Pham Thi Gam , Nguyen Van Phuong , Thi Thanh Nga Phan , Hoang Hien Y , Dao My Uyen , Hoang Anh Son
Published: June 2023

In this study, green synthesis and physicochemical characterization of silver nanoparticles (AgNPs) by using S.nervosum leaves extract. The characteristic surface plasmon resonance peak observed in the visible region at 435 nm is consistent with previous reports of silver nanoparticle formation. The synthesized AgNPs were also characterized by SEM, TEM, XRD, and FTIR, which reveal their nearly spherical, mainly in the 10-30 nm diameter. The antimicrobial activity of AgNPs was studied using the agar well diffusion method on four clinically significant pathogenic microorganisms (P.aeruginosa ATCC 27853; E.coli ATCC 35218, S.aureus ATCC 12493; S.aureus Mastitis isolate). The results showed that the green synthesized AgNPs exhibited antimicrobial activity at most studied concentrations, including the antibacterial effect against S.aureus (Mastitis isolate) strain was found to be resistant to Tetracycline 100 µg/L.
Well-to-Wheel Analysis of Energy Efficiency & CO2 emissions for Hybrids & EVs in India: Current Trends & Forecasting for 2030
Authors: Nandola Yash , Krishna Uttam , Pramanik Santanu , M Himabindu , V Ravikrishna R
Published: June 2023

A comprehensive Well-to-Wheel (WTW) analysis was performed to evaluate WTW energy use, efficiency & CO2 emissions for 12 vehicle/fuel configurations for a passenger sedan in the Indian context. The WTW analysis covered gasoline, diesel, and compressed natural gas (CNG) powered conventional vehicles, series hybrids, and plug-in series hybrids. In addition, hydrogen fuel cell-powered series hybrid and its plug-in version, along with a battery-electric vehicle, were also studied. The WTW analysis was repeated for a couple of electricity generation scenarios for the year 2030 to forecast future trends and finally for a couple of hydrogen production scenarios, where hydrogen was produced via electrolysis of water in addition to being produced from natural gas. The electricity pathway showed minimum Well-to-Tank (WTT) efficiency and maximum WTT CO2 emissions among the five fuels being considered for the study for all three electricity generation scenarios. The hybridization of vehicles showed improvement in the Tank-to-Wheel (TTW) efficiency and reduction in TTW CO2 emissions. Plug-in hybrid configuration of gasoline, diesel, CNG, and hydrogen showed higher TTW efficiency and lower TTW CO2 emissions than the conventional and series hybrid configurations. Battery electric configuration showed the maximum TTW efficiency of 68.2% and was associated with zero TTW CO2 emissions. For the current electricity generation scenario, diesel hybrid showed maximum WTW efficiency, and CNG series hybrid showed lowest WTW CO2 emissions. With the decrease in % share of coal, increased % share of renewables and reduction in transmission and distribution losses, it is expected that there would be an increase in the WTW efficiency and decrease in WTW CO2 emissions for plug-in hybrids and battery-electric vehicles. For the year 2030, assuming that 44% of electricity is generated from renewable sources, plug-in hybrids and battery electric vehicles showed substantial improvement in WTW efficiency, with diesel plug-in hybrid still showing maximum WTW efficiency, and CO2 emissions being the lowest for the CNG plug-in hybrid. For the hydrogen generation scenarios, WTW efficiency was the lowest, and WTW CO2 emissions were the highest for the fuel cell series hybrid electric vehicle when hydrogen was produced via electrolysis using electricity from the current grid mix. Hydrogen plug-in hybrid showed the highest WTW efficiency and zero WTW CO2 emissions when hydrogen was produced via electrolysis of water using electricity generated from 100% renewable sources.
Ontology-Driven Machine Learning: A Review of applications in healthcare, finance, Natural Language Processing, and Image Analysis
Authors: ABTEW ADMAS , Demissie Dait , Kekeba Kula
Published: June 2023

Ontology-driven machine learning (ODML) is an emerging approach that integrates domain-specific ontologies with machine learning methods to improve the accuracy, interpretability, and explainability of predictive models. In this review, we synthesized the findings from studies that applied ODML in different domains, including healthcare, finance, natural language processing, and image analysis. The results demonstrated the potential of ODML in improving the performance of machine learning models for predicting falls, hospital readmissions, credit risk, stock prices, sentiment analysis, text classification, breast cancer histology, and liver image classification. The study highlighted the importance of domain-specific ontologies in capturing the domain knowledge and improving the performance of machine learning models. However, the quality of evidence varied across the studies, and publication bias may be present. Future studies should aim to address these limitations and develop standardized approaches for ontology development and integration with machine learning methods. Overall, ODML is a promising approach for improving the accuracy, interpretability, and explainability of machine learning models in different domains.
Untersuchung zur Beteiligung von Kindern in hessischen Kindertagesstätten am Infektionsgeschehen während der SARS-CoV-2-Pandemie: Ergebnisse der SAFE-KiDS-Studie
Authors:   , Kreutzer Emilie Viktoria
Published: June 2023

Die SAFE-KiDS-Studie wurde vom 18. Juni bis zum 10. September 2020 vor dem Hintergrund der Wiedereröffnung von Kindertagesstätten nach der ersten Welle von Infektionen mit SARS-CoV-2 durchgeführt. Es sollten epidemiologische Daten von Kindern und Mitarbeitenden in insgesamt 50 hessischen Kindertagesstätten gesammelt werden, um die Bedeutung dieser Einrichtungen für das Infektionsgeschehen nach Aufnahme des eingeschränkten Regelbetriebs zu beleuchten. Als zentrale Untersuchungsmethode wurde die Dual-Swab Methode angewandt, um herauszufinden, ob diese für longitudinale Testungen bei Kindern geeignet ist. Für die Dual-Swab Methode wurden ein Wangen- sowie ein Analschleimhautabstrich getestet, um sowohl die respiratorische als auch die gastrointestinale Ausscheidung von SARS-CoV-2 zu erfassen. Alle freiwillig an der Studie teilnehmenden Sorgeberechtigten und Mitarbeitenden wurden gebeten, bei ihren Kindern, bzw. sich selbst, wöchentlich die Abstrichentnahme durchzuführen. Ziel war es, zu quantifizieren, wie häufig es zu inapparenten Infektionen in diesem Setting kommt. Es sollte zudem untersucht werden, ob die eigenständige Abstrichentnahme bzw. Testung durch Sorgeberechtigte eine geeignete Alternative zur Probengewinnung durch medizinisches Personal während der Pandemie darstellt. 859 Kinder im Alter zwischen 3 Monaten und 8 Jahren sowie 376 Mitarbeitende nahmen an der Studie teil. Insgesamt wurden 13.273 Abstriche, davon 7.366 Wangen- und 5.907 Analschleimhautabstriche, untersucht. Es konnte lediglich bei zwei Studienteilnehmenden und in insgesamt 3 Abstrichen eine SARS-CoV- 2 Infektion nachgewiesen werden. Bei beiden Personen handelte es sich um Mitarbeiterinnen. Bei keinem der an der Studie teilnehmenden Kinder konnte eine respiratorische oder gastrointestinale Ausscheidung von SARS-CoV-2 nachgewiesen werden. In einer Befragung am Ende der Studie wurde keine weitere, nicht in der Studie erfasste Infektion mit SARS-CoV-2 angegeben. Das Ergebnis der Studie spricht dafür, dass Kindertagesstätten in einem Zeitraum mit vergleichsweise niedriger Inzidenz von SARS-CoV-2 in Hessen während der Studiendauer kein relevantes Reservoir für SARS-CoV-2 darstellen und inapparente Infektionen bei Kindern selten vorkamen. Außerdem lässt sich daraus schließen, dass das Risiko für eine Infektion in diesen Einrichtungen unter den während der Studienzeit durchgeführten Maßnahmen bei begrenzter Aktivität in der Bevölkerung als niedrig einzustufen war.
Subkutane Mastektomien bei Frau-zu-Mann transsexuellen Patienten: Kritische Analyse verschiedener Operationstechniken und deren Komplikationen am AGAPLESION Markus Krankenhaus in Frankfurt a. M.
Authors:   , Keval Seirah
Published: June 2023

Abstract Background: Mastectomy in male transgender patients is an important (and often the first) step toward physical manhood. At our department, mastectomies in transgender patients have been performed for several decades. Methods: Recorded data were collected and analyzed for all male transgender patients undergoing mastectomy over a period of 24 years at our department. Results: In total, 268 gender-reassigning mastectomies were performed. Several different mastectomy techniques (areolar incision, n=172; sub-mammary incision, n=96) were used according to patients' habitus and breast features. Corresponding to algorithms presented in the current literature, certain breast qualities were matched with a particular mastectomy technique. Overall, small breasts with marginal ptosis and good skin elasticity allowed small areolar incisions as a method of access for glandular removal. In contrast, large breasts and those with heavy ptosis or poor skin elasticity often required larger incisions for breast amputation. The secondary correction rate (38%) was high for gender reassignment mastectomy, as is also reflected by data in the current literature. Secondary correction frequently involved revision of chest wall recontouring, suggesting inadequate removal of the mammary tissue, as well as scar revision, which may reflect intense traction during wound healing (36%). Secondary corrections were performed more often after using small areolar incision techniques (48%) than after using large sub-mammary incisions (21%). Conclusions: Choosing the suitable mastectomy technique for each patient requires careful individual evaluation of breast features such as size, degree of ptosis, and skin elasticity in order to maximize patient satisfaction and minimize secondary revisions. Keywords: Gender reassigning surgery; Mastectomy; Transgender.
COMPARATIVE STUDY OF POLYMERIZATION DEPTH OF THREE PHOTOCOMPOSITE DENTAL FILLING MATERIALS FOR BULK FILL RESTORATION
Authors: Noenko Igor , Pavlenko Oleksiy , Iurii Mochalov Iurii Mochalov
Published: June 2023

The objectives of the study was to compare the depth of polymerization of flowable photocomposite dental restorative materials for bulk fill tooth restorations in laboratory.
Materials and methods. Three flowable bulk fill photocomposite dental restorative materials – "SDR® Posterior Bulk Fill Flowable Base," "Filtek™ Bulk Fill Flowable" and domestic "Jen-Radiance Molar-FW" – were chosen for the study. For each material, 10 black opaque thin-walled polyvinyl chloride molds with a length of 10.00 mm and a diameter of 3.00 mm were prepared. The molds were air-dried from a compressor and fixed in fluoroplastic retainers perpendicular to the metal opaque surface below and subsequently filled with the investigated restorative material along the entire length, in a contact manner, along the wall. After filling, the material was polymerized with an LED photopolymerizer directly in contact with the surface of the light guide for 40 seconds. Subsequently, the material was removed from the forms and the remains of the unpolymerized mass were removed from the surface of the polymerized cylinder of the composite with a metal dental sickle-shaped carrier (scarification test). The length of the polymerized cylinder was measured using an electronic micrometer.
Results. Therefore, the study of the depth of polymerization of flowable bulk fill photocomposites "SDR® Posterior Bulk Fill Flowable Base", "Filtek™ Bulk Fill Flowable" and domestic "Jen-Radiance Molar-FW" showed that signs of polymerization of all three materials were observed in a depth of more than the "declared" four millimeters which may be explained by the improvement of the recipe for the preparation of such materials and the optimization of the transparency of the organic component and inorganic filler, as well as the regular distribution of photoactivators in the mass. "SDR" polymerized to a depth of 7.38 ± 0.17 (M = 7.30) mm, the minimum value was 7.16 mm and the maximum value was 7.71 mm. "Filtek Bulk Fill Flowable" polymerized to a lesser depth – on 6.34 ± 0.14 (М = 6.38) mm, the minimum value was 6.05 mm and the maximum value was 6.55 mm. The domestic analogue "Jen-Radiance Molar‑FW" showed even higher values of polymerization depth – 8.03 ± 0.19 (М = 7.98) mm, the minimum value was equal to 7.75 mm and the maximum value was 8.41 mm. Statistical tests showed probable similarity between "SDR" and "Jen-Radiance Molar-FW" in the depth of polymerization.
Conclusions. All three studied flowable bulk fill photocomposite materials were polymerized to a depth greater than 4.00 mm. Domestic "Jen-Radiance Molar-FW" was similar to "SDR" according to the investigated feature.