bluuebunny/crossref_metadata_2025 huggingface dataset:
DNA Methylation atABCG1and Long-term Changes in Adiposity and Fat Distribution in Response to Dietary Interventions: The POUNDS Lost Trial
Authors: Li Xiang , Shao Xiaojian , Kou Minghao , Wang Xuan , Ma Hao , Grundberg Elin , Bazzano Lydia A. , Smith Steven R. , Bray George A. , Sacks Frank M. , Qi Lu
Published: September 2023

OBJECTIVE

To examine whether participants with different levels of diabetes-related DNA methylation at ABCG1 might respond differently to dietary weight loss interventions with long-term changes in adiposity and body fat distribution.

RESEARCH DESIGN AND METHODS

The current study included overweight/obese participants from the POUNDS Lost trial. Blood levels of regional DNA methylation at ABCG1 were profiled by high-resolution methylC-capture sequencing at baseline among 673 participants, of whom 598 were followed up at 6 months and 543 at 2 years. Two-year changes in adiposity and computed tomography–measured body fat distribution were calculated.

RESULTS

Regional DNA methylation at ABCG1 showed significantly different associations with long-term changes in body weight and waist circumference at 6 months and 2 years in dietary interventions varying in protein intake (interaction P < 0.05 for all). Among participants assigned to an average-protein (15%) diet, lower baseline regional DNA methylation at ABCG1 was associated with greater reductions in body weight and waist circumference at 6 months and 2 years, whereas opposite associations were found among those assigned to a high-protein (25%) diet. Similar interaction patterns were also observed for body fat distribution, including visceral adipose tissue, subcutaneous adipose tissue, deep subcutaneous adipose tissue, and total adipose tissue at 6 months and 2 years (interaction P < 0.05 for all).

CONCLUSIONS

Baseline DNA methylation at ABCG1 interacted with dietary protein intake on long-term decreases in adiposity and body fat distribution. Participants with lower methylation at ABCG1 benefitted more in long-term reductions in body weight, waist circumference, and body fat distribution when consuming an average-protein diet.
Numerical and experimental investigation of the melt removal mechanism and burr formation during laser cutting of metals
Authors: Stoyanov S. , Petring D. , Piedboeuf F. , Lopes M. , Schneider F.
Published: September 2023

During laser fusion cutting, burr forms when the molten metal does not sufficiently exit the interaction zone. When it forms on the lower edge of the cut flank, burr becomes a factor limiting quality. Previous research has shown that a temporally regular and spatially localized melt flow can prevent the formation of burr. However, the high dynamics of the subprocesses involved can cause intrinsic instabilities that disrupt the flow and reduce the efficiency of the melt ejection. This paper presents a study on the correlation between process parameters, melt flow properties, and burr formation. It includes an experimental observation of the melt-flow dynamics using high-speed videography. In addition, a Computational Fluid Dynamics model was set up to examine fundamental flow properties, some of which are not observable experimentally. The dependency of the burr formation on the liquid Weber and Reynolds numbers is analyzed, and it is demonstrated how the magnitude and allocation of vapor pressure gradients in the kerf decisively affect melt ejection and burr formation. Additionally, a previously unknown melt ejection regime is identified in the thick section range, which occurs at feed rates close to the maximum cutting speed under specific high-power process conditions. This regime is characterized by a significantly increased process efficiency that could open up a new high-speed process window.
Experiências de orientação de trabalhos com GeoGebra
Authors: Athias Rodrigues Aroldo Eduardo
Published: September 2023

Este texto tem como objetivo apresentar algumas produções envolvendo o GeoGebra que foram fruto de trabalhos orientados pelo autor. Desse modo, ao longo das diversas seções são apresentados cinco trabalhos de conclusão de curso desenvolvidos sob orientação do autor e, ao final, é descrita uma experiência de ensino que envolveu a produção de atividades com o GeoGebra no âmbito de uma disciplina do Mestrado Profissional em Matemática em Rede Nacional – Profmat – que ocorreu durante o período de ensino remoto emergencial. Como resultado dessas vivências revela-se a importância de garantir a autonomia e o protagonismo dos estudantes no processo de ensino-aprendizagem e de propor trabalhos com o GeoGebra que sigam por essa direção.
Da Matemática Experimental à ferramenta didática: o papel do GeoGebra na formação de professores da educação básica
Authors: Baldin Yuriko Yamamoto
Published: September 2023

O objetivo deste artigo é apresentar resultados da pesquisa da autora sobre o papel do GeoGebra na formação de professores de matemática da educação básica, baseando as discussões no conceito de Geometria Dinâmica que promoveu possibilidades de transformação do ambiente de ensino e aprendizagem em torno do início do século XXI, quando o desenvolvimento dos programas computacionais cada vez mais acessíveis trouxe o desafio de integrar a tecnologia na educação básica. A metodologia da pesquisa utiliza o conceito de Matemática Experimental aplicada na metodologia de resolução de problemas num ambiente de aprendizagem participativa. Os resultados ilustram a trajetória da pesquisa da autora em que GeoGebra é usado em diferentes projetos de melhoria de ensino, aprendizagem, e educação de professores de matemática básica, além de atividades de exploração para alunos.
Perhesuhteiden diskursiivinen rakentuminen gerontologisen sosiaalityön asiakkaiden asiakirjoissa
Authors: Niemi Mia , Pietilä Ilkka
Published: September 2023

Perhe on suhdeverkosto, jolla on perustavanlaatuinen merkitys ikääntyneiden ihmisten hyvinvoinnille ja voimavaroille, mutta perhe-elämä sisältää myös varjopuolia. Vanhuspolitiikan nykyisten linjausten mukaan perheen odotetaan vastaavan yhä enemmän ikääntyneen ihmisen hoivan tarpeisiin, mikä voi osaltaan lisätä perhesuhteissa koettuja paineita tai ristiriitoja. Tässä artikkelissa kuvataan, miten gerontologisen sosiaalityön asiakkaita koskevissa asiakirjoissa (n=31) rakennetaan käsitystä ikääntyneiden perhesuhteista sekä niissä ilmenevistä hyvinvointia tukevista ja vaarantavista tekijöistä. Aineistosta paikannettiin diskurssianalyysin keinoin kolme tulkintarepertuaaria, joissa perhesuhteita lähestyttiin ongelmien, familismin ja sidoksellisuuden näkökulmista. Perhesuhteet voivat vanhuuden vaiheessa sisältää haavoittavia tekijöitä perhesukupolvien välillä, vaikka ne samanaikaisesti sisältävät myös avun elementtejä. Läheissuhteet eivät kuitenkaan ole vain avun lähde, vaan ne liittyvät relationaalisiin tarpeisiin. Ikääntyneiden perhesuhteiden tuen tarpeisiin yhdistyy rakenteellisia tekijöitä, kuten palvelujärjestelmän haasteet vastata perheenjäsenten yhteenkietoutuviin palvelutarpeisiin.
The discursive construction of family relations in the case files of gerontological social work clients
Family life matters for older adults’ wellbeing. Consequently, dysfunctional family relationships may create a substantial threat to well-being in old age. The decreasing role of institutional care has increased pressures on family members to participate in the care for older people in Finland. This study analysed how the family life of older people is perceived and described in gerontological social work client case files (n=31). This discourse analytic study identified three interpretative repertoires that approached family relationships as a problem, resource, and relation. The findings indicate that family relationships in old age can contain factors that increase vulnerability, although they simultaneously include elements of help. Families of older people are often given meaning as a resource for the service system. However, close relationships are not only a source of help, but rather a part of relational needs. In the intertwined service needs of family members, structural factors and challenges in the service system are combined to provide adequate support.
Digital tools to support the implementation of self-care among people with problematic substance use: An integrative literature review
Authors: Karsimus Tuija , Mäki-Kuutti Anna-Maria , Ekqvist Eeva , Kuusisto Katja
Published: September 2023

Problematic substance use causes significant harm to individuals, communities and society as a whole. Nowadays solutions to bring substance abuse under control and provide help are being sought from digital tools. This literature review scrutinizes digital applications and internet-based self-care programs from the perspective of providing services. The purpose is to ascertain how the preconditions for the implementation of self-care are understood in studies addressing digital tools for the substance abuse sector. The question posed concerns what features in digital applications supporting control of substance abuse, their users and operating environment influence the implementation of self-care. The research method is an integrative literature review. The data consist of peer-reviewed scientific publications from the period 2012–2022. Data were gathered from two databases (ProQuest Central, PubMed). The final corpus comprises 18 research articles. The analytical frame of reference is the definition by El-Osta and others of four main dimensions of self-care. The findings suggest that factors pertaining to applications in the implementation of self-care are the technical usability of the service, the option for anonymity, variation in content, active reminders and application feedback, gamification and ability to identify with the user. Factors pertaining to the users, in addition to age and gender, are mode of substance abuse, duration of using history, severity of the problem, readiness for change, possible concurrent diagnoses, ability to process own feelings, social relations and digital literacy. Factors pertaining to the operating environment are legislation governing substance abuse, national intoxicant culture, stigma attached to substance abuse treatment, availability of support outside the application and the pandemic situation restricting face-to-face interaction. The diverse nature of the group of individuals with problematic substance use will in the future increase the need for user profiling and more individualized tailoring of application content in keeping with their life situations and stages of recovery.
Comparison of the Chen and Sinsgh’s Fuzzy Time Series Methods in Forecasting Farmer Exchange Rates in Indonesia
Authors: Okia Dinda Kelana  , Atus Amadi Putra  , Nonong Amalita  , Admi Salma
Published: September 2023

Chen and Singh's Fuzzy Time Series Model is a forecasting method that uses the basi  fuzzy logic in the process. The differences in the models are in the fuzzy logic relations. Chen's model uses Fuzzy Logical Relationship Groups. Meanwhile, the Singh model uses only Fuzzy Logical Relationships in the forecasting process. To find out the best model between the two models, forecasting the Farmer's Exchange Rate is carried out. Farmers' exchange rates are the option for observers of agricultural development in assessing the level of welfare of farmers in Indonesia. With changes in farmer exchange rates every month, it is necessary to forecast data in order to obtain an overview for the following month. Research used is applied research where the initial step is to study and analyze the theories related to our research, then colect the necessary data. The data used is data secondary data obtained online from the official website of the Badan Pusat Statistika (BPS). the forecasting results of the two models were compared using MAPE. The results of the comparison of the accuracy of the prediction accuracy of Chen and Singh's fuzzy time series models on farmers' exchange rates obtained Chen's MAPE fuzzy time series values ​​of 0.679% and Singh's fuzzy time series models of 0.354%. This means that the best forecasting model for farmer exchange rates in Indonesia is the Singh model.
Pemodelan Waktu Survival Pasien Tuberkulosis menggunakan Regresi Cox Proportional Hazard dengan Data Tersensor
Authors: Elsa Oktaviani  , Nonong Amalita  , Atus Amadi Putra  , Dony Permana
Published: September 2023

Cox proportional hazard regression is a type of survival analysis that can be applied to tuberculosis cases. This study aims to determine the Cox proportional hazard regression  model and the factors that influence the survival time of tuberculosis patients at RSUP Dr.  M. Djamil Padang. The survival period used is the time when the patient is taking TB treatment at RSUP Dr.  M. Djamil Padang in 2021 until the patient is declared dead. The method used in the Cox Proportional Hazard Regression analysis is the Maximum Partial Likelihood Estimation Method. By using the cox proportional hazard regression model, the factors that influence the survival time of tuberculosis patients at RSUP Dr.  M. Djamil's is BMI (X3) , leukocytes (X5) , fever (X9) , shortness of breath (X11) , and decreased appetite (X12) .  The Cox Proportional Hazard Regression Model obtained is hi(t) = h0(t) exp(1,315X3 + 1,224X5 + 1,138X9 +1,623X11 + 1,251X12).
Comparison of Error Rate Prediction Methods in Classification Modeling with Classification and Regression Tree (CART) Methods for Balanced Data
Authors: Fitria Panca Ramadhani  , Dodi Vionanda  , Syafriandi Syafriandi  , Admi Salma
Published: September 2023

CART (Classification and Regression Tree) is one of the classification algorithms in the decision tree method. The model formed in CART is a tree consisting of root nodes, internal nodes, and terminal nodes. After the model is formed, it is necessary to calculate the accuracy of the model. The aims is to see the performance of the model. The accuracy of this model can be done by calculating the predicted error rate in the model. The error rate prediction method works by dividing the data into training data and testing data. There are three methods in the error rate prediction method, such as Leave One Out Cross Validation (LOOCV), Hold Out (HO), and K-Fold Cross Validation. These methods have different performance in dividing data into training data and testing data, so there are advantages and disadvantages to each method. Therefore, a comparison was made for the three error rate prediction methods with the aim of determining the appropriate method for the CART algorithm. This comparison was made by considering several factors, for instance variations in the mean, number of variables, and correlations in normal distributed random data. The results of the comparison will be observed using a boxplot by looking at the median error rate and the lowest variance. The results of this study indicate that the K-Fold Cross Validation has the median error rate and the lowest variance, so the most suitable error prediction method used for the CART method is the K-Fold Cross Validation method.
Comparison of Error Rate Prediction Methods in Classification Modeling with the CHAID Method for Imbalanced Data
Authors: Seif Adil El-Muslih  , Dodi Vionanda  , Nonong Amalita  , Admi Salma
Published: September 2023

CHAID (Chi-Square Automatic Interaction Detection) is one of the classification algorithms in the decision tree method. The classification results are displayed in the form of a tree diagram model. After the model is formed, it is necessary to calculate the accuracy of the model. The aims is to see the performance of the model. The accuracy of this model can be done by calculating the predicted error rate in the model. There are three methods, such as Leave one out cross-validation (LOOCV), Hold-out, and K-fold cross-validation. These methods have different performances in dividing data into training and testing data, so each method has advantages and disadvantages. Imbalanced data is data that has a different number of class observations. In the CHAID method, imbalanced data affects the prediction results. When the data is increasingly imbalanced the prediction result will approach the number of minority classes. Therefore, a comparison was made for the three error rate prediction methods to determine the appropriate method for the CHAID method in imbalanced data. This research is included in experimental research and uses simulated data from the results of generating data in RStudio. This comparison was made by considering several factors, for the marginal opportunity matrix, different correlations, and several observation ratios. The results of the comparison will be observed using a boxplot by looking at the median error rate and the lowest variance. This research finds that K-fold cross-validation is the most suitable error rate prediction method applied to the CHAID method for imbalanced data.
Comparison of Error Rate Prediction Methods in Binary Logistic Regression Model for Balanced Data
Authors: Shavira Asysyifa S  , Dodi Vionanda  , Nonong Amalita  , Dina Fitria
Published: September 2023

Binary Logistic Regression is one of the statistical methods that can be  used to see the relations between dependent variable with some independent variables, where the dependent variable split into two categories, namely the category declaring a successful event and the category declaring a failed event. The performance of binary logistic regression can be seen from the accurary of the model. Accuracy can be measured by predicting the error rate. One method that can be used to predict error rate is cross validation. The cross validation method works by dividing the data into two parts, namely testing data and training data. Cross validation has several learning methods that are commonly used, namely Leave One Out (LOO), Hold out, and K-fold cross validation. LOO has unbiased estimation of accuracy but take a long time, hold out can avoid overfitting and works faster because no iterations, and k-fold cross validation has smaller error rate prediction. Meanwhile, data cases with different correlation are useful to find out the different correlations effect performance of error rate prediction method. In this study uses artificially generated data with a normal distribution, including univariate, bivariate, and multivariate datasets with various combination of mean differences and correlation. Considering these factors, this study focuses on comparing the three cross validation methods for predicting error rate prediction in binary logistic regression. This study finds out that k-fold cross validation method is the most suitable method to predict errors in logistic regression modeling for balanced data.
FRAMING TRUMP: A METAPHORIC ANALYSIS OF IRANIAN MAINSTREAM NEWS
Authors: Azeri Matin Alireza
Published: September 2023

Donald J. Trump’s victory in the 2016 presidential election marked the beginning of a gloomy era for Iran-US relations which consequently brought about a series of economic and political consequences, most notably the international sanctions imposed on Iran. As the key player in these political affairs, Trump made several radical decisions involving Iran, provoking the Islamic regime’s harsh and insolent rejoinders which were directed at the US president’s personality. Being largely of a metaphoric nature, such negative remarks recurrently appeared across the state-run national media, constructing a particular social reality about the 45th President of the United States. This was in particular less challenging for the state, considering the general public in Iran had minimum knowledge about Trump before his election in 2016. Using Lakoff and Johnson’s theoretical framework, and investigating the use of metaphors in political news articles published in some of the government’s prominent online news agencies, this study reveals how such rhetorical devices are employed for framing Trump. Ultimately, the findings point to the idea that national media in Iran have craftily taken advantage of culturally embedded concepts to sway public perceptions against Trump, as part of the regime’s anti-west political agenda.
Process approach in the modernization of the quality management system and business process management at electric power enterprises in Russia
Authors: Akylbek uulu Aibek
Published: September 2023

The modern economic paradigm, evolving in step with digital and innovative transformations, which has repeatedly scaled the role of business process automation, dictates an objective need for a conceptual rethinking of the constants of the functioning of Russian companies, and in general, the possibilities of constructing their new economic identity. Stabilization (resuscitation) of the functional core of the life support of domestic organizations during a period of external disturbances, extremely high economic turbulence, a change in the geopolitical landscape and a critical narrowing of the sanctions ring require a serious reorganization of existing business processes in organizations.

Of particular importance in delineating new economic contours is ensuring sustainability for strategically important enterprises for our country. We are talking, first of all, about the electric power industry, which traditionally serves not only as the locomotive of Russia’s economic progress, but as the basis of the economic system, on the stable functioning of which national security depends. The electric power industry is in the most vulnerable position today, due to: 1) a complete embargo on Russian energy resources and 2) the global trend towards green energy.

The subject of research in the article are the possibilities of the process approach in the modernization of the QMS and the management of business processes in electric power organizations. The methods of retrospective, graphical, comparative, statistical, prospective analyzes were used in the work. Research results are to identify the role, benefits, specifics of the application of the process approach in electric power organizations. The main problems in the modeling and functioning of the process approach are identified, as well as the possibilities for solving them with an emphasis on knowledge management processes and the use of artificial intelligence.
Theoretical and methodological foundations of business process management of a modern enterprise based on the «lean production management» approach
Authors: Gayvoronsky E. R.
Published: September 2023

Business process management is an important aspect of supply chain management. Effective management of business processes by supply chains makes it possible to increase operational activity, reduce transportation and storage costs, increase the level of service for the end customer, as well as increase competitiveness in the market. The ability to effectively manage business processes is provided by the lean production management model. This scientific article discusses the theoretical and methodological foundations of business process management in logistics based on the lean production management approach. The article describes the concept of a business process, the essence and main characteristics of business processes, the concept of lean manufacturing, tools and the formation of a business process management system. Special attention is also paid to the business process improvement model. The purpose of the article is to study the relevance of this study, the research methods used, as well as its results and conclusions. In conclusion the article highlights the importance of logistics business process management and the potential benefits of lean manufacturing as a methodology for enterprise development, such as creating value for customers, reducing costs, reducing waste, improving working conditions, increasing competitiveness and developing innovation.
Construction industry of Russia: problems and prospects
Authors: Korolev S. V. , Tolmachev O. L.
Published: September 2023

The construction industry of the Russian Federation (RF) is one of the leaders of its economy. Increased requirements for the quality of construction projects in countries are due to climatic conditions that are not in the world. Such an indicator as the energy efficiency of buildings (MGSN 2.01-99, clause 3.6.1) determines the increased consumption of materials for construction, and hence the high price per square meter of the final product. However, the demand for industrial and residential premises continues to be high due to the stimulation of the sector by the RF punishments.

This brief review of the economic situation in the construction industry of the Russian Federation highlights a set of parameters that are distinguished by significant properties of residential construction parameters. In addition, the review raises factors that impede the significant activities of Russian construction organizations and limit the prospects for the development of this sector of the domestic economy.

The purpose of this article is to determine from the point of view of the organizational management of the state of the construction industry in the Russian Federation and the prospect of assessing the development of small and medium-sized businesses in this area.
Organizational mechanism for increasing the productivity of workers at the mining enterprise
Authors: Kucherenko N. V.
Published: September 2023

Increasing productivity is critical to making businesses competitive, increasing production and reducing costs. The mechanisms for the development of labor productivity in extractive enterprises are interconnected and require an integrated approach, so organizations should strive to constantly improve and implement new approaches and tools to ensure the effective use of their labor potential and achieve competitive advantages in the market.

The organizational mechanism for increasing the productivity of workers in the mining enterprise plays an important role in achieving the efficiency of production and competitiveness of the organization, including the optimization of work processes (analysis and assessment of current work processes in order to identify bottlenecks and opportunities for their improvement, on the basis of which new methods and technologies are developed and implemented that can improve efficiency and reduce time costs. These methods include the introduction of automation, the use of new technologies and tools, as well as rational planning and control of production processes).

An important element of the organizational mechanism is also personnel management, the key tasks of which are to attract and select qualified specialists, train and develop them, create motivation and stimulate employees, as well as assess and control their work.
Evaluation of the Moisture Management, Air and Water Vapour Permeabilities of Knitted Fabrics for Garments
Authors: Ahmad Mohd Rozi
Published: September 2023

The market today offers a variety of fabrics that may be utilised to create any style of clothing. Fabrics are periodically altered as a result of technology’s continual growth, to the point that it became difficult for clothes makers to assess the fabric characteristics related to thermal comfort. This paper reports some investigations on the moisture management and permeability properties of several commercial knitted fabrics intended for garment application. The fabric’s ability to manage moisture as well as its air and water vapour permeability were assessed. A fabric rating index was used to combine the results from each test to determine the fabric’s thermal comfort characteristics. Among the five knitted fabrics, the fabric comprised of nylon & polyester with jersey structure gave the highest assessment rating which is 5. The study serves as a future reference for future textile and garment industry, that implement the laboratory method used in this paper i.e moisture management, water vapour and air permeability in choosing the better thermal comfort qualities for general wear.
Sensible Politics. Visualizing International Relations
Authors: Pérez-Cruz Ana Elsa
Published: September 2023

El libro es una síntesis del proyecto Sensible Politics [política sensata] que coordina el profesor William Callahan en el departamento de Relaciones Internacionales de la London School of Economics and Political Science. El texto, al igual que el sitio web del proyecto, integra el interés de repensar las Relaciones Internacionales desde la política del afecto, la experiencia y los sentidos. Tanto la obra como el sitio web retoman experiencias de trabajo de campo del autor en Asia, así como materiales audiovisuales para su consulta y análisis, los cuales han sido recopilados en las últimas tres décadas.
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“El mayor Señor que puede encontrarse”. Sobre la virtud de temer y hacerse temer en Maquiavelo
Authors: Morales Oyarvide César
Published: September 2023

Este artículo argumenta que entre el conjunto de emociones del paisaje político que Maquiavelo pinta a sus lectores, el miedo no sólo es la más prominente, sino la más vinculada con la virtù, el concepto central de la política maquiaveliana. Partiendo del análisis de la concepción revolucionaria que tiene el escritor florentino sobre la virtù y siguiendo el trabajo de Pedullà, se presenta una clasificación bipartita de los usos del miedo en la obra de Maquiavelo: un uso virtuoso, conducente al éxito político, y otro que conduce a la ruina. A través de una selección de pasajes de El príncipe y los Discursos sobre la primera década de Tito Livio, se rastrean los principales ejemplos de esta ambivalencia y se muestra cómo la capacidad para inspirar y sentir esta emoción está ligada a varios de los consejos más importantes de la obra del florentino.
Synthesis of NaYF4:Yb3+, Tm3+ Nanocrystals Via the Thermal Decomposition Method Using Refined Sunflower Oil
Authors: Smelkovs L. , Viksna V. , Teterovskis J. , Grube J.
Published: September 2023

In recent years, up-conversion luminescence nanoparticles have attracted significant attention from researchers in fields such as analytical chemistry (for example qualitative and quantitative analysis of metal and non-metal ions) and biomedicine (cancer imaging, drug delivery, treatment, etc.) due to their high rate of emission efficiency, easy surface functionalization, great chemical and thermal and photostability and other favorable properties. NaYF4 in particular has attracted interest of researchers as a host material due to its low phonon energy, thus increasing the efficiency of emission. In this study, the synthesis of NaYF4:Yb3+,Tm3+ nanocrystals using the hydrothermal method was successfully carried out. Refined sunflower oil containing oleic acid was used as a solvent instead of analytical grade oleic acid and octadecene-1, reducing the cost of the synthesis. Using semi-quantitative XRD measurement analysis, it was determined that 25.3 % hexagonal β-NaYF4:Yb3+,Tm3+ as well as 23.8 % cubic α-NaYF4 nanocrystal crystalline phases were found in the synthesized sample. The sample showed mainly luminescent characteristics typical of hexagonal NaYF4:Yb3+,Tm3+ lattice nanoparticles.
Calculation of the Constructive Nonlinearity of Ribbed Reinforced Concrete Slabs of Self-Stressed Covering Panels
Authors: Hasenko Anton , Semko Volodymyr , Skliarenko Serhii
Published: September 2023

Precast reinforced concrete constructions meet the requirements of industrialization, high manufacturability, and cost-effectiveness at a reasonably high level. The ribs in constructions perform load-bearing functions, and the slab part performs enclosing functions. Often before the installation of such structures at a construction site, they are mounted from assembly elements. The overall dimensions of the elements are limited by transportation requirements. During such an aggregated mounting, the assembly units work according to a calculation scheme that differs from an operational scheme. The structural nonlinearity of ribbed reinforced concrete slabs during transportation, mounting, and installation, and the operation of a combined spatial covering panel were investigated in this paper. The effects were identified, and a rational design of nodes connecting the individual prefabricated units into a spatial structure was developed. With the help of these nodes, it is possible to create unloading support moments, which will reduce the internal forces in the design cross-sections. The effects of changes in the width of the reinforced concrete slab shelves on the internal forces of the load-bearing ribs of a wall and a roof panel were investigated.
A caça de porcos-do-mato (Tayassuidae: Artiodactyla) durante o Holoceno no atual território brasileiro: estudo de caso a partir do enfoque zooarqueológico e tafonômico no sambaqui Lagoa dos Freitas/SC
Authors: Pavei Diego Dias , Santos Marcos Cesar Pereira , Ferrasso Suliano , Borges Caroline
Published: September 2023

Diferentes espécies de porcos-do-mato (Tayassuidae) são recorrentes em todos os biomas brasileiros, sendo documentados como recursos provedores de carne e matéria-prima em diversas sociedades indígenas. No Brasil, eles são identificados em conjuntos zooarqueológicos que datam desde o início do Holoceno até o período das primeiras invasões europeias. Ambas as espécies que ocorrem no Brasil, Tayassu pecari e Pecari tajacu serviram às sociedades indígenas pré-coloniais como recurso econômico. No sítio arqueológico sambaqui Lagoa dos Freitas, Santa Catarina, Sul do Brasil, os porcos-do-mato foram os principais recursos cinegéticos de mamíferos terrestres identificados no conjunto faunístico. As informações tafonômicas associados às características ecológicas e etológicas dos taiaçuídeos sugerem padrões de consumo destes animais com a seleção de partes ricas em proteínas e possível captura de espécimes por meio de técnicas de caça com armadilhas. Os dados aqui apresentados contribuem para o conhecimento das relações humanas com os taiaçuídeos, servindo como base para comparações com outras regiões e contextos arqueológicos.
SUSTAINABLE ENTREPRENEURHSIP DAN GREEN ECONOMY UNTUK PELAKU UMKM DI DESA KARANGAMPEL
Authors: Arifin Nur Rizki , Putra Rizka Andhika , Patonah Rita , Heryati Tati
Published: September 2023

Kemajuan Usaha Mikro Kecil Menengah (UMKM) akan berdampak secara langsung pada kesejahteraan masyarakat. Indikator kesejahteraan salah satunya dapat diukur melalui peningkatan pendapatan. Peningkatan pendapatan pada UMKM dapat dioptimalkan dengan meminimalisir dan mengefisienkan biaya produksi serta melakukan manajemen keuangan dengan baik. Pengabdian ini bertujuan untuk  memberikan solusi terhadap permasalahan nyata yang terjadi pada UMKM di Desa Karangampel, Kecamatan Baregbeg, Kabupaten Ciamis melalui pelatihan sustainable entrepreneurhsip dan green economy untuk Pelaku UMKM.  Model yang digunakan dalam pengabdian ini menggunakan metodologi kualitatif. Metode analisis pengabdian ini yang digunakan adalah analisis studi kasus berdasarkan metode, data, dan triangulasi sumber. Adanya peningkatan pemahaman peserta mengenai sustainable entrepreneurhsip dan green economy sehingga diharapkan dapat meningkatkan Kesejahteraan pelaku UMKM di Wilayah Desa Karangampel Kecamatan Baregbeg Kabupaten Ciamis. Pelaksanaan pengabdian masyarakat melalui sosialisasi sustainable entrepreneurhsip dan green economy diharapkan dapat terus berlanjut dan Universitas Galuh sebagai lembaga tetap menjadi pelopor dalam pengabdian pada masyarakat.
PENINGKATAN KAPASITAS TIM PENGGERAK PKK DALAM MENGEMBANGKAN PRODUK UMKM DI DESA CIBEUREUM KECAMATAN SUKAMANTRI KABUPATEN CIAMIS
Authors: Risnawan Wawan , Henriyani Etih , Sunarti Neti
Published: September 2023

Peningkatan kapasitas organisasi ditujukan agar suatu lembaga/organisasi dapat menghasilkan kinerja yang lebih baik secara efektif dan efisien. Beberapa kegiatan yang dilakukan dalam peningkatan kapasitas individu dalam organisasi diantaranya memberdayakan kelompok melalui pelatihan, penyuluhan, pendampingan, pemberian motivasi agar mereka dapat meningkatkan pengetahuan, keterampilan, wawasan dan pengetahuan kelompok. Fokus kegiatan pengabdian ini pada Gerakan PKK tahun 2021-2024, yang diantaranya adalah peningkatan ekonomi keluarga dan penguatan ketahanan keluarga. Dalam hal ini Tim Penggerak PKK dapat berperan sebagai motivator, fasilitator, perencana, pelaksana, pengendali dan penggerak. Namun demikian, kondisi di lapangan bahwa TP-PKK Desa Cibeureum Kecamatan Sukamantri Kabupaten Ciamis masih menemukan beberapa kendala dalam mengembangkan UMKM, diantaranya: Rendahnya kualitas SDM, Kurangnya sosialisasi-promosi dan anggaran, serta terbatasnya akses-jejaring kerja. Berdasarkan hal tersebut, maka yang menjadi tujuan pengabdian ini adalah membantu Tim Penggerak PKK Desa Cibeureum untuk mengembangkan produk UMKM baik itu hasil olahan anggota PKK maupun kelompok masyarakat agar tersentra dengan akses pemasaran yang lebih luas guna meningkatkan kesejahteraan anggota serta masyarakat di lingkungan Desa Cibeureum.
Small-cell cancer of the perihilar bile duct with bleeding esophageal varices: A report of a rare case
Authors: Tuan Ho Xuan , Lieu Dau Quang , Luan Dao-Thi , Duc Nguyen Minh
Published: September 2023

Small-cell cancer is an uncommon histological subtype of neuroendocrine carcinoma. It frequently has a poor prognosis because of distant metastasis. It is diagnosed using histopathological and immunohistochemical tests. We report the case of a 29-year-old female with small-cell cancer in the perihilar bile duct who presented with bleeding esophageal varices. This case report aims to improve physicians’ understanding of small-cell cancer, thereby helping to reduce the frequency of missed clinical diagnoses.
Focal dystonia and ataxic hemiparesis as the initial presentation of a thalamic tuberculoma: A diagnostic challenge in an immunocompetent pediatric patient
Authors: Sajjad Fauzia , Baloch Maryam Farhan , Ashraf Mohammad , Gillespie Conor S. , Umar Hira , Zafar Ammara , Zulfiqar Javaria , Ullah Imdad , Ali Sundus , Ashraf Naveed
Published: September 2023

Background:

Central nervous system (CNS) tuberculomas are rare and account for approximately 1% of all tuberculosis (TB) cases. These intracranial lesions are more commonly observed in immunocompromised individuals, often as part of disseminated miliary TB or after latent infection reactivation. This case report presents the occurrence of a thalamic tuberculoma in an immunocompetent girl.

Case Description:

An 11-year-old girl presented with a 3-month history of progressive right-sided ataxic hemiparesis, hand dystonia/thalamic hand, and headache. There was only a mildly elevated erythrocyte sedimentation rate (25 mm/h.), and her remaining biochemistry and vitals were unremarkable. Magnetic resonance imaging (MRI) brain revealed an ill-defined intra-axial heterogeneous lobulated lesion with crenated margins involving the thalamus and the posterior limb of the internal capsule with significant vasogenic edema. Given the clinical picture, the working diagnosis was a high-grade brain tumor. Due to the absence of a viable operative corridor for a meaningful resection and the diagnostic uncertainty, a stereotactic biopsy was performed, and histopathological analysis confirmed the presence of granulomas consistent with TB. A human immunodeficiency virus test (negative) and interferon-gamma release assay (positive) were then obtained. The patient was commenced on a regimen of anti-TB drugs with a tapering steroid dose. At 8 months, her most recent MRI showed a significant reduction in the size of her tuberculoma, and there is a complete resolution of her hand dystonia and hemiparesis to allow for independence in her activities of daily living.

Conclusion:

This report emphasizes the importance of considering causes other than degenerative, vascular, or neoplasms in patients with hemiparesis with dystonia. CNS tuberculomas can present as such without prior history or specific clinical symptoms of TB, making them a diagnostic challenge. In cases with such uncertainty regarding the nature of an intracranial lesion and the role of resection, a stereotactic biopsy is invaluable.
Virtual coil images can optimize the visualization of the neckline of intracranial aneurysms during coil embolization: A technical note
Authors: Abe Yukiko , Ishibashi Toshihiro , Otani Katharina , Kan Issei , Murayama Yuichi
Published: September 2023

Background:

During coil embolization of intracranial aneurysms, the aneurysmal neck needs to be evaluated because coil protrusion into the parent artery may lead to ischemic complications. However, the neck cannot always be clearly visualized due to the limitation of the angiography system and due to the structure of the aneurysm. As a visual aid, we propose a color-coded fusion imaging method that generates “virtual coil” images using preoperative three-dimensional digital subtraction angiography (3D-DSA) images.

Case Description:

Coil embolization for intracranial aneurysms was performed using the working angles determined from the preoperative 3D-DSA. The aneurysms were located at the middle cerebral artery, anterior communicating artery (A-com), and posterior communicating artery (P-com). The A-com and P-com aneurysms were recurrent. During the later phase of the procedure, physicians could not judge whether coils protruded into the parent artery on two-dimensional digital subtraction angiography (2D-DSA) images because an optimal working angle could not be realized. Virtual coil images were displayed on the angiography system’s monitor to show the expected completed embolization, which could be compared to the current 2D-DSA images as a visual aid.

Conclusion:

Virtual coil images can provide visual aid to the treating physician during aneurysm coil embolization, which is useful when an accurate working angle cannot be reached.
NGS Testing in Non–Small Cell Lung Cancer
Authors: Wong Winston , Kuntz Gordon
Published: September 2023

Winston Wong, PharmD, and Gordon Kuntz provide an update on the current status of the research and barriers for using next-generation sequencing in NSCLC and summarize the discussion and next steps that the NGS Institute’s NSCLC Subcommittee identified as needing to be addressed.
Are IT Professionals Unique? A Second-Order Meta-Analytic Comparison of Turnover Intentions Across Occupations
Authors: Zaza Sam , Joseph Damien , Armstrong Deborah
Published: September 2023

Information technology (IT) professionals are a strategic human resource for enabling competitive advantage through the application of data and technologies. Yet, it remains a challenge for organizations to retain top IT talent as the business context and the nature of work change. Retention strategies that have worked with other business professionals have faced limited success with IT talent, leading some scholars to ask whether the latter are unique in terms of culture, personality, and tools. This study seeks to address this question by (1) undertaking a meta-analysis of studies investigating the turnover intentions of IT professionals, and by (2) conducting a second-order meta-analysis to compare findings between IT and non-IT professionals. The meta-analytic findings identify new antecedents more recently examined in information systems (IS) research while confirming enduring relationships between antecedents and turnover intention. The second-order meta-analysis provides intriguing findings regarding the potential uniqueness of IT professionals. We provide an integrative discussion on the state of turnover intention research within the IS discipline, start a dialog on interdisciplinary comparisons, and offer a forward-looking agenda for future research. We conclude by calling on scholars to revitalize turnover intention research within the IS field by moving toward fresh theories, fresh constructs, and fresh approaches.
Customer Complaint Avoidance: A Randomized Field Experiment of Platform Governance Based on Value Co-Creation and Appropriation
Authors: Zhao Xia , Song Peijian , Shi Lanfei , Xue Ling , Feng Fan
Published: September 2023

From the theoretical perspectives of value co-creation and value appropriation in platform governance, this study explores how a platform can design motivation mechanisms to induce the proactive efforts of providers to reduce customer complaints. We conducted a field experiment on a major Chinese peer-to-peer real estate platform offering long-term rental properties. Specifically, when a renter (customer) complaint about a host (provider) occurs, we sent reminder messages to other unaffected hosts in the same neighborhoods (as the affected host) and urged them to proactively prevent similar complaints. The reminder messages varied in terms of their emphasis of the roles of different stakeholders in platform-based value co-creation (provider-emphasized vs. customer-emphasized) and how they explicated different value appropriation mechanisms (competition-based vs. cooperation-based). Results show that compared to the control message, customer-emphasized messages effectively motivated providers’ proactive efforts to reduce customer complaints. Contrastingly, provider-emphasized messages led to the undesirable outcome of increasing customer complaints, possibly due to providers’ shirking behavior. We also found that a competition-based value appropriation mechanism strengthened the motivating effect, whereas a cooperation-based mechanism undermined the motivating effect. The study provides important theoretical and practical implications for platforms on the design of effective governance mechanisms.
Equity Crowdfunding and Access to Capital for User Entrepreneurs: Evidence from a Randomized Field Experiment
Authors: Bapna Sofia , Ganco Martin
Published: September 2023

We examine whether equity crowdfunding democratizes access to funding for nontraditional user entrepreneurs. User entrepreneurs start by creating a product to serve their own unmet needs with no expectations of monetary profit, then later decide to commercialize the product through entrepreneurship. In contrast, traditional (producer) entrepreneurs take a more profit-driven path to entrepreneurship and start by identifying an opportunity that has commercial potential. Through a randomized field experiment, we randomly reveal to some investors that a firm producing a product used by musicians is founded by a musician and conceal this founder-related information from other investors. Revealing the information suggests that the firm is a user innovator firm and concealing it suggests that the firm is a traditional producer firm. We find that investors are significantly more interested in the traditional producer firm. Through an additional field experiment, we identify that the bias against user entrepreneurs is statistical (based on a response to limited information) rather than taste based (based on an idiosyncratic dislike). Our findings suggest that user entrepreneurs can mitigate investor bias by displaying signals of quality such as those regarding firm growth and broad product appeal.
The Voice of Commerce: How Smart Speakers Reshape Digital Content Consumption and Preferences
Authors: Son Yoonseock , Oh Wonseok , Im Il
Published: September 2023

The present study investigates the effects of smart speaker usage on consumers’ digital content search, purchase, and consumption behaviors. Using a unique panel data set comprising information on household patterns of digital content (e.g., video on demand [VOD]) transactions and consumption and smart speaker usage, we found that the adoption of smart speakers is positively associated with the increased purchase of digital content but negatively related to the average rate of content completion. More specifically, we found that VOD content-related expenditures increased by 21.5% following smart speaker adoption but the average consumption of VOD content purchased decreased by 3.0%. We also examined millions of data points on TV remote-control use and conducted a survey via MTurk to support the validity of the findings. Smart speaker usage can reduce search costs, which subsequently increases search incidence and conversion rates, behavioral changes that can lead to a rise in purchases. We further show that the use of smart speakers for purposes other than information seeking is positively associated with purchases. We develop insights on how to elicit economic value from voice recognition technologies and provide implications for the design and implementation of effective voice commerce strategies.