bluuebunny/crossref_metadata_2025 huggingface dataset:
Nutritional composition, nitrate and nitrite levels of Kikuyo grass and its influence on milk production.
Authors: Camacho-Ospina Jairo Alexander , Cuesta-Peralta Aurora , García-Contreras German Antonio , Sanjuanelo-Corredor Danny Wilson , Arevalo-Obando Luz Margoth
Published: December 2021

Objetive. Establish variations of nutritional composition and the contents of nitrates and nitrites in the Kikuyo grass (Cenchrus clandestinus (Hochst. Ex Chiov.) Morrone) from four veredas in the municipality of San Miguel de Sema: Peña Blanca, Sirigay, Sabaneca, and Quintoque, during dry and rainy seasons. were dairy production is the most significant economic activity. Material and methods. Nutritional characterization parameters, were associated a two-way ANOVA, using Tukey's as a multiple comparison test. Results. The results revealed in dry matter a high average content of total protein (TP) (23.48% +/- 3.71), neutral detergent fiber (60.86% +/- 3.03), with important DM degradability values at different time points (62.97% +/- 3.74 after 48 Hours). The report indicated decreased values of lignin (4.25% +/- 0.5), non-structural carbohydrates (11.44% +/- 2.43) and of the ratio of non-structural carbohydrates: rumen degradable protein (NSC:RDP) of 0.84 +/- 0.16. The levels of nitrates reached an average of 2977 ppm +/- 2061, which differed significantly according to the seasons and veredas, for the dry season in the different veredas the level of nitrated remained at 4728 ppm, a value 3.9 higher in comparison to the rainy season. The levels of nitrites showed average contents of 2.97 pm of DM, contents highly decreased to be potentially toxic. Conclusions. These results allowed us to establish a difference in the protein:energy relation as the limiting factor for milk production. Nitrate levels indicated as potentially toxic.
Computed tomography examination of the os cordis in a lamb (Ovis aries Linnaeus, 1758)
Authors: Massari Catia Helena de Almeida Lima , Ferreira-Silva Adriano , Riceti-Magalhães Henrique Inhauser , Souza-Silva Dara Rúbia , Miglino Maria Angélica
Published: December 2021

Objective. The present paper aims to investigate the role of computed tomography as an imaging technique of diagnosis in the identification of the os cordis in ovine, and also how this anatomical structure is morphotopographically characterized in macro and microscopic contexts, seeking to contribute for its functional understanding. Materials and method. The heart of a young male ovine had been donated to the Laboratory of Animal Anatomy of the Surgery Department of the FMVZ/USP, first being subject to a post-mortem examination by means of the cardiac “shedding” (transverse cross sectioning of the heart). A tomographic examination of the anatomic specimen was carried out, as well as the dissection and histological analysis of the collected sample. Results. The results indicate the presence of an osseous structure of 6.39 mm in length, located in the aortic valve of the heart, next to a ring comprised by three valve flaps, tendinous cords, and papillary muscles. The histological findings consist of fibrous connective tissue, cancellous bone tissue, and calcified hyaline cartilage wherein the cardiomyocytes are attached. Conclusions. It is concluded that computed tomography, even though seldom applied to animals of zootechnical interest, poses as an effective tool for the visualization of the os cordis in lambs.
Identifying crisphead lettuce genotypes for a wider range of environments
Authors: Tobar Tosse Dora , Dos Santos Candido Willame , Da Silva Santos Lucas , Costa Silva Edgard Henrique , Castoldi Renata , Trevisan Braz Leila
Published: December 2021

This work aims to select crisphead lettuce (Lactuca sativa L) genotypes superior in production, stability, and adaptability using a mixed model method: restricted maximum likelihood/best linear unbiased prediction. Ten genotypes were grown in different municipalities of the State of São Paulo, Brazil, and seasons of the year, resulting in twelve different environments. The experiment has a randomized complete block design with four repetitions. Genotypes comprise eight breeding lines and two commercial cultivars, Vanda and Vera. The evaluated traits include total production in g/plant, commercial production in g/plant, and numbers of leaves/plant. Analysis of joint deviance indicated that the genotypes responded differently to the environments evaluated. The crisphead lettuce breeding lines that were most productive, stable, and adapted to the twelve lettuce-growing environments, even outperforming the commercial Vanda and Vera cultivars, were lines L8, L2, and L6.
Nuevo algoritmo para generar patrones espaciales de muestreo de suelos en experimentos agrícolas
Authors: Erazo-Mesa Edwin , Echeverri-Sánchez Andrés , Urrutia Cobo Norberto
Published: December 2021

La variabilidad espacial del suelo es un factor importante para entender los cambios de las variables de respuesta en experimentos agrícolas. El muestreo de suelos se ejecuta con base en un patrón espacial, el cual puede ser aleatorio o sistemático. El objetivo de este trabajo fue validar un nuevo algoritmo para generar patrones espaciales de muestreo de suelos en este contexto. Para esto se diseñaron tres funciones en el software R, las cuales fueron comparadas con cinco aplicaciones (tres programas y dos librerías de R). La validación se realizó replicando tres patrones espaciales de suelos en experimentos agrícolas reportados en investigaciones anteriores, además de comparar la localización manual de puntos de muestreo en un experimento de cosecha de caña de azúcar con la localización generada por el algoritmo. Los resultados indican que el algoritmo tiene la capacidad exclusiva de realizar muestreos sistemáticos por unidad de área y centrarlos en el polígono correspondiente. El resto de las características, tales como el cálculo de los demás patrones y la generación de puntos sobre líneas, es posible encontrarlas en las otras aplicaciones. Con respecto a la validación en campo, la distancia promedio entre puntos generados con el algoritmo y los ubicados manualmente en campo es 2,58 m. La distancia promedio entre los puntos ubicados manualmente en campo y la línea de surco más cercana es 0,46 m. En conclusión, el algoritmo permite ubicar puntos de muestreo en sitios específicos del campo, como lo son las partes altas del surco o el entresurco.
Measuring Integrated Novel Dimensions in Neurodevelopmental and Stress-Related Mental Disorders (MIND-SET): Protocol for a Cross-sectional Comorbidity Study From a Research Domain Criteria Perspective
Authors: van Eijndhoven Philip , Collard Rose , Vrijsen Janna , Geurts Dirk E M , Vasquez Alejandro Arias , Schellekens Arnt , van den Munckhof Eva , Brolsma Sophie , Duyser Fleur , Bergman Annemiek , van Oort Jasper , Tendolkar Indira , Schene Aart
Published: December 2021

Background

It is widely acknowledged that comorbidity between psychiatric disorders is common. Shared and diverse underpinnings of psychiatric disorders cannot be systematically understood based on symptom-based categories of mental disorders, which map poorly onto pathophysiological mechanisms. In the Measuring Integrated Novel Dimensions in Neurodevelopmental and Stress-Related Mental Disorders (MIND-SET) study, we make use of current concepts of comorbidity that transcend the current diagnostic categories. We test this approach to psychiatric problems in patients with frequently occurring psychiatric disorders and their comorbidities (excluding psychosis).

Objective

The main aim of the MIND-SET project is to determine the shared and specific mechanisms of neurodevelopmental and stress-related psychiatric disorders at different observational levels.

Methods

This is an observational cross-sectional study. Data from different observational levels as defined in the Research Domain Criteria (genetics, physiology, neuropsychology, system-level neuroimaging, behavior, self-report, and experimental neurocognitive paradigms) are collected over four time points. Included are adult (aged ≥18 years), nonpsychotic, psychiatric patients with a clinical diagnosis of a stress-related disorder (mood disorder, anxiety disorder, or substance use disorder) or a neurodevelopmental disorder (autism spectrum disorder or attention-deficit/hyperactivity disorder). Individuals with no current or past psychiatric diagnosis are included as neurotypical controls. Data collection started in June 2016 with the aim to include a total of 650 patients and 150 neurotypical controls by 2021. The data collection procedure includes online questionnaires and three subsequent sessions with (1) standardized clinical examination, physical examination, and blood sampling; (2) psychological constructs, neuropsychological tests, and biological marker sampling; and (3) neuroimaging measures.

Results

We aim to include a total of 650 patients and 150 neurotypical control participants in the time period between 2016 and 2022. In October 2021, we are at 95% of our target.

Conclusions

The MIND-SET study enables us to investigate the mechanistic underpinnings of nonpsychotic psychiatric disorders transdiagnostically. We will identify both shared and disorder-specific markers at different observational levels that can be used as targets for future diagnostic and treatment approaches.
State-of-the-art Dashboards on Clinical Indicator Data to Support Reflection on Practice: Scoping Review
Authors: Bucalon Bernard , Shaw Tim , Brown Kerri , Kay Judy
Published: December 2021

Background

There is an increasing interest in using routinely collected eHealth data to support reflective practice and long-term professional learning. Studies have evaluated the impact of dashboards on clinician decision-making, task completion time, user satisfaction, and adherence to clinical guidelines.

Objective

This scoping review aims to summarize the literature on dashboards based on patient administrative, medical, and surgical data for clinicians to support reflective practice.

Methods

A scoping review was conducted using the Arksey and O’Malley framework. A search was conducted in 5 electronic databases (MEDLINE, Embase, Scopus, ACM Digital Library, and Web of Science) to identify studies that met the inclusion criteria. Study selection and characterization were performed by 2 independent reviewers (BB and CP). One reviewer extracted the data that were analyzed descriptively to map the available evidence.

Results

A total of 18 dashboards from 8 countries were assessed. Purposes for the dashboards were designed for performance improvement (10/18, 56%), to support quality and safety initiatives (6/18, 33%), and management and operations (4/18, 22%). Data visualizations were primarily designed for team use (12/18, 67%) rather than individual clinicians (4/18, 22%). Evaluation methods varied among asking the clinicians directly (11/18, 61%), observing user behavior through clinical indicators and use log data (14/18, 78%), and usability testing (4/18, 22%). The studies reported high scores on standard usability questionnaires, favorable surveys, and interview feedback. Improvements to underlying clinical indicators were observed in 78% (7/9) of the studies, whereas 22% (2/9) of the studies reported no significant changes in performance.

Conclusions

This scoping review maps the current literature landscape on dashboards based on routinely collected clinical indicator data. Although there were common data visualization techniques and clinical indicators used across studies, there was diversity in the design of the dashboards and their evaluation. There was a lack of detail regarding the design processes documented for reproducibility. We identified a lack of interface features to support clinicians in making sense of and reflecting on their personal performance data.
Language, Speech, and Facial Expression Features for Artificial Intelligence–Based Detection of Cancer Survivors’ Depression: Scoping Meta-Review (Preprint)
Authors: Smrke Urška , Mlakar Izidor , Lin Simon , Musil Bojan , Plohl Nejc
Published: December 2021

BACKGROUND

Cancer survivors often experience disorders from the depressive spectrum that remain largely unrecognized and overlooked. Even though screening for depression is recognized as essential, several barriers prevent its successful implementation. It is possible that better screening options can be developed. New possibilities have been opening up with advances in artificial intelligence and increasing knowledge on the connection of observable cues and psychological states.

OBJECTIVE

The aim of this scoping meta-review was to identify observable features of depression that can be intercepted using artificial intelligence in order to provide a stepping stone toward better recognition of depression among cancer survivors.

METHODS

We followed a methodological framework for scoping reviews. We searched SCOPUS and Web of Science for relevant papers on the topic, and data were extracted from the papers that met inclusion criteria. We used thematic analysis within 3 predefined categories of depression cues (ie, language, speech, and facial expression cues) to analyze the papers.

RESULTS

The search yielded 1023 papers, of which 9 met the inclusion criteria. Analysis of their findings resulted in several well-supported cues of depression in language, speech, and facial expression domains, which provides a comprehensive list of observable features that are potentially suited to be intercepted by artificial intelligence for early detection of depression.

CONCLUSIONS

This review provides a synthesis of behavioral features of depression while translating this knowledge into the context of artificial intelligence–supported screening for depression in cancer survivors.
Accuracy of Self-reported Human Papillomavirus Vaccination Status Among Gay and Bisexual Adolescent Males: Cross-sectional Study (Preprint)
Authors: Chow Eric PF , Fairley Christopher K , Wigan Rebecca , Hocking Jane S , Garland Suzanne M , Cornall Alyssa M , Tabrizi Sepehr N , Chen Marcus Y
Published: December 2021

BACKGROUND

Men who have sex with men are a risk group for anal human papillomavirus (HPV) and anal cancer. Australia introduced a universal school-based HPV vaccination program in 2013. Self-reported HPV vaccination status has been widely used in clinical and research settings, but its accuracy is understudied.

OBJECTIVE

We aimed to examine the accuracy of self-reported HPV vaccination status among gay and bisexual adolescent males.

METHODS

We included 192 gay and bisexual males aged 16-20 years from the Human Papillomavirus in Young People Epidemiological Research 2 (HYPER2) study in Melbourne, Australia. All participants had been eligible for the universal school-based HPV vaccination program implemented in 2013 and were asked to self-report their HPV vaccination status. Written informed consent was obtained to verify their HPV vaccination status using records at the National HPV Vaccination Program Register and the Australian Immunisation Register. We calculated the sensitivity, specificity, positive predictive value, and negative predictive value of self-reported HPV vaccination status.

RESULTS

The median age of the 192 males was 19 (IQR 18-20) years. There were 128 males (67%) who had HPV vaccination records documented on either registry. Self-reported HPV vaccination had a sensitivity of 47.7% (95% CI 38.8%-56.7%; 61/128), a specificity of 85.9% (95% CI 75.0%-93.4%; 55/64), a positive predictive value of 87.1% (95% CI 77.0%-93.9%; 61/70), and a negative predictive value of 45.1% (95% CI 36.1%-54.3%; 55/122).

CONCLUSIONS

Self-reported HPV vaccination status among Australian gay and bisexual adolescent males underestimates actual vaccination and may be inaccurate for clinical and research purposes.
Evaluation of a Collaborative Care Program for Patients With Treatment-Resistant Schizophrenia: Protocol for a Multiple Case Study (Preprint)
Authors: Jongkind Amy , Hendriks Michelle , Grootens Koen , Beekman Aartjan T F , van Meijel Berno
Published: December 2021

BACKGROUND

Approximately one-third of all patients with schizophrenia are treatment resistant. Worldwide, undertreatment with clozapine and other effective treatment options exist for people with treatment-resistant schizophrenia (TRS). In this respect, it appears that regular health care models do not optimally fit this patient group. The Collaborative Care (CC) model has proven to be effective for patients with severe mental illness, both in primary care and in specialized mental health care facilities. The key principles of the CC model are that both patients and informal caregivers are part of the treatment team, that a structured treatment plan is put in place with planned evaluations by the team, and that the treatment approach is multidisciplinary in nature and uses evidence-based interventions. We developed a tailored CC program for patients with TRS.

OBJECTIVE

In this paper, we provide an overview of the research design for a potential study that seeks to gain insight into both the process of implementation and the preliminary effects of the CC program for patients with TRS. Moreover, we aim to gain insight into the experiences of professionals, patients, and informal caregivers with the program.

METHODS

This study will be underpinned by a multiple case study design (N=20) that uses a mixed methods approach. These case studies will focus on an Early Psychosis Intervention Team and 2 Flexible Assertive Community treatment teams in the Netherlands. Data will be collected from patient records as well as through questionnaires, individual interviews, and focus groups. Patient recruitment commenced from October 2020.

RESULTS

Recruitment of participants commenced from October 2020, with the aim of enrolling 20 patients over 2 years. Data collection will be completed by the end of 2023, and the results will be published once all data are available for reporting.

CONCLUSIONS

The research design, framed within the process of developing and testing innovative interventions, is discussed in line with the aims of the study. The limitations in clinical practice and specific consequences of this study are explained.

CLINICALTRIAL

INTERNATIONAL REGISTERED REPORT

DERR1-10.2196/35336
Higher costs and utilization occurs among patients with diabetes mellitus when HbA1c results are not present in the electronic health record: a retrospective analysis (Preprint)
Authors: Gudzune Kimberly Anne , Lemke Klaus , Monroe Anne K. , Weiner Jonathan P.
Published: December 2021

BACKGROUND

Clinical information may frequently be missing from the electronic health record (EHR), and contributes to delayed care, adverse events, and additional services, which may be costly. Missing laboratory data might be valuable marker for population-level risk stratification to help identify patients at risk of high cost and utilization.

OBJECTIVE

To determine whether absent hemoglobin HbA1c results in the EHR stratifies risk of high healthcare costs and utilization among adults with diabetes mellitus (DM).

METHODS

Retrospective U.S. cohort with EHR and claims data (2012-2013) of 6,270 continuously insured and care-engaged patients with DM who had ≥1 ambulatory visit in 2012. HbA1c availability defined as “HbA1c present” if ≥1 HbA1c EHR result was available in 2012 and otherwise as “HbA1c absent.” Patient’s annual healthcare costs, presence of any inpatient hospitalization, and presence of any emergency department (ED) visit in 2012 (concurrent) and 2013 (prospective).We used linear and logistic regression analyses, adjusting for age, gender and comorbidity, to determine associations with concurrent and prospective healthcare costs, emergency department (ED) visit, and hospitalization.

RESULTS

Overall, HbA1c result was absent from the EHR in 20.2%. Absent HbA1c status had significantly greater healthcare costs than HbA1c present (Concurrent difference: $5,081, p<0.001; Prospective difference: $5,489, p<0.001). Absent HbA1c status was significantly more likely to have an ED visit than HbA1c present (Concurrent: OR 1.44, p<0.001; Prospective: OR 1.29, p=0.01). No significant differences in hospitalization existed between groups.

CONCLUSIONS

Markers indicating absent laboratory results in the EHR, such as HbA1c availability, may be a promising population-level risk stratification approach. HbA1c availability appears to offer clinically relevant information associated with high healthcare costs and utilization. Future research might use markers identifying HbA1c or other laboratory results absent from the EHR to trigger various quality improvement interventions, such as health information exchange, clinical decision support, or care management.
Clustering Diagnoses From 58 Million Patient Visits in Finland Between 2015 and 2018 (Preprint)
Authors: Fränti Pasi , Sieranoja Sami , Wikström Katja , Laatikainen Tiina
Published: December 2021

BACKGROUND

Multiple chronic diseases in patients are a major burden on the health service system. Currently, diseases are mostly treated separately without paying sufficient attention to their relationships, which results in the fragmentation of the care process. The better integration of services can lead to the more effective organization of the overall health care system.

OBJECTIVE

This study aimed to analyze the connections between diseases based on their co-occurrences to support decision-makers in better organizing health care services.

METHODS

We performed a cluster analysis of diagnoses by using data from the Finnish Health Care Registers for primary and specialized health care visits and inpatient care. The target population of this study comprised those 3.8 million individuals (3,835,531/5,487,308, 69.90% of the whole population) aged ≥18 years who used health care services from the years 2015 to 2018. They had a total of 58 million visits. Clustering was performed based on the co-occurrence of diagnoses. The more the same pair of diagnoses appeared in the records of the same patients, the more the diagnoses correlated with each other. On the basis of the co-occurrences, we calculated the relative risk of each pair of diagnoses and clustered the data by using a graph-based clustering algorithm called the M-algorithm—a variant of k-means.

RESULTS

The results revealed multimorbidity clusters, of which some were expected (eg, one representing hypertensive and cardiovascular diseases). Other clusters were more unexpected, such as the cluster containing lower respiratory tract diseases and systemic connective tissue disorders. The annual cost of all clusters was €10.0 billion, and the costliest cluster was cardiovascular and metabolic problems, costing €2.3 billion.

CONCLUSIONS

The method and the achieved results provide new insights into identifying key multimorbidity groups, especially those resulting in burden and costs in health care services.

CLINICALTRIAL
Parental Educational Attainment and Frequency of Marijuana Use in Youth: Hispanics’ Diminished Returns
Authors: Assari, MD MPH Shervin , Schaefer, PhD Jonathan
Published: December 2021

Background: While socioeconomic status (SES) indicators such as parental educational attainment show robust associations with health behaviors such as substance use, the protective effects of these indicators may differ across racial groups. This phenomenon of weaker associations between SES indicators and health outcomes for marginalized and minoritized groups relative to non-Hispanic White people has been labeled “Marginalization-related Diminished Returns” (MDRs). Here, we test both whether parental educational attainment is associated with marijuana use frequency in youth as well as whether we observe racial and ethnic variation in this association consistent with MDRs. Methods: This study used data from the cross-sectional 2019 Monitoring the Future survey (MTF 2019). Participants included 29,230 youth who were either Hispanic (24.1%), non-Hispanic Black (16.1%), or non-Hispanic White (59.9%). We used weighted logistic regression models to test for (1) associations between maternal educational attainment and youth cannabis use frequency as well as (2) moderation of this association by race/ethnicity, while adjusting for the complex sample design of the MTF 2019 data. Age, sex, father presence, and maternal employment were entered into models as covariates. Results: Overall, children born to mothers with higher educational attainment reported less frequent marijuana use than peers born to mothers with lower educational attainment. However, this association was significantly weaker in Hispanic versus non-Hispanic White youth. Conclusion: The strength of the association between parental educational attainment and youth marijuana use frequency appears to differ across ethnic groups. Specifically, we observed that whereas non-Hispanic White youth from high-SES families tend to report less marijuana use than peers from lower-SES families, Hispanic youth report roughly equal levels of use across the full SES spectrum. This finding is in line with the MDRs framework and may reflect factors such as structural racism, social stratification, and the marginalization of ethnic minority families in the US.
IoT Based Surveillance System Using DNN Model
Authors: Rawat Rahul
Published: December 2021

Abstract: Localization, Visibility, Proximity, Detection, Recognition has always been a challenge for surveillance system. These challenges can be felt in the industries where surveillance systems are used like armed forces, technical-agriculture and other such fields. Most of the Smart system available are just for the surveillance of Human intervention but there is a need for a system which can be used for animals as well because with the outburst of human population and symbiotic relationship with wild animals results in life loss and damage to agriculture. In this paper we are designing to overcome these above-mentioned challenges for human and animal-based surveillance system in real time application. The system setup is done on a Raspberry pi integrated with deep-learning models which performs the classification of objects on the frames, then the classified objects is given to a face detection model for further processing. The detected face is relayed to the back-end for feature mapping with the saved log files with containing features of familiar face IDs. Four models were tested for face detection out of which the DNN model performed the best giving an accuracy of 94.88%.The system is also able to send alerts to the admin if any threat is detected with the help of a communication module. Keywords: Deep learning, Raspberry Pi, OpenCV, Image Processing, YOLO, Face Recognition
3D printing-A Review of Materials, Applications, and Challenges
Authors: Pandhare Sachin J.
Published: December 2021

Abstract: Now a days 3-Dimensional Printing (3DP) technology is used world widely and it can actually print each and every thing with the desired computer program. In Construction engineering the challenges are like availability of skilled man power, time constraint, cost effectiveness and complicated shapes etc. But with the help of an automated machine, the 3D printing technology, has huge potential to have faster and more accurate construction of complex and more laborious works. This technology can build three-dimensional (3D) objects by connecting layers of materials and can be applied to convert waste and by-products into new materials. The 3DP in concrete construction is increasing thanks to its freedom in geometry, rapidness, formwork-less printing, low waste generation, eco-friendliness, cost-saving nature and safety. This paper attempts to review the digital printing technology introduced in the construction industry and the also highlights the impact on concrete technology. It also discusses about the materials used in 3DP, mix design, various applications and challenges in the construction industry. Keywords: 3D printing, Concrete, 3DCP, Mix design.
A Literature Review on Seismic Response of Floating Column Building
Authors: Jain Deepak
Published: December 2021

Abstract: Floating column building is a new fascination for engineers. As floating column buildings provides more space and good aesthetics to the building. But have high structural challenges, when a floating column is provided in a multi-story building in a high seismic zone. This paper reviews several studies conducted on the floating column building and its behavior under seismic loads. This paper studies that floating column building are vulnerable to the high seismic zones. The risk of damage also depends on the shape and size of the buildings.The ductile detailing of the joints is the promising solution for immediate failure of such buildings. Keywords: Floating Column, Response spectrum analysis. Vulnerable, damage, multi-story
Creation of large-scale thin-walled welded panels of high strength from aluminum-magnesium alloys for construction of high-speed vessels of a new type for operation in the Arctic
Authors: Alifirenko E. A. , Barakhtina N. N. , Malov E. V.
Published: December 2021

A new high-strength material has been developed – large-scale thin-walled welded panels made of aluminum-magnesium alloy 1565ch. Its use, combined with modern achievements in the field of strength and aerohydrodynamics, made it possible to create a multifunctional economy skeg-type hovercraft “Haska 10” with unique operational capabilities.
Structural phase transformations in welding high-alloyed titanium alloy
Authors: Mikhaylov V. I. , Kozlova I. R. , Kuznetsov S. V. , Markova Yu. M. , Vasilieva E. A.
Published: December 2021

This article investigates the change in the phase composition and structural state during the thermal cycle of welding a high-alloyed titanium alloy. It is shown that structural-phase transformations in the welded joint occurring under the influence of the thermal and deformation cycle of welding lead to the formation of metastable phases, and its subsequent decomposition can lead to ductility losses. To bring the metal of the welded joint to an equilibrium state, stabilizing annealing is required.
Peran Pemerintah Desa dalam Pengelolaan Sampah Perspektif Peraturan Daerah Nomor 2 Tahun 2015 Tentang Pengelolaan Sampah
Authors: Muchsin Tamrin , Saliro Sri Sudono
Published: December 2021

The purpose of this study was to determine the role of the Sepuk Tanjung Village Government in waste management, and to determine the inhibiting factors for implementing the government's role. When the amount of waste increases, it will cause problems that can endanger humans, both health and the environment. Therefore, it is important to involve the village government as the government that is closest to the people. This research method uses empirical research methods with a statutory approach, to obtain data, researchers conducted observations and interviews with the village government and the community using purposive sampling. The results of the study reveal that the role of the village government is in accordance with Article 11 of Regional Regulation Number 2 of 2015 concerning Waste Management. As for the inhibiting factors, namely, the community factor, the infrastructure factor and the village government factor.
PENGARUH FAKTOR-FAKTOR PERILAKU KONSUMEN TERHADAP KEPUTUSAN MENGINAP
Authors: Wulansari Nidia , Abrian Youmil , Adrian Arif
Published: December 2021

Kota Bukitinggi menjadi salah satu tujuan wisata bagi wisatawan yang datang ke Sumatera Barat. Dengan adanya daya tarik wisata, seperti wisata alam, kuliner dan sejarah dapat meningkatkan kunjungan ke Bukittinggi. Meningkatnya kunjungan berimbas pada meningkatnya kebutuhan sarana akomodasi, seperti hotel. Fenomena menarik dalam penelitian ini adalah hotel bintang empat yang berada di Bukittinggi selalu mengalami peningkatan occupancy (tingkat hunian) menuju akhir tahun. Walaupun harga kamar yang ditawarkan relatif tinggi dibandingkan dengan hotel lain yang berada di Buktitinggi. Tujuan penelitian ini adalah untuk menganalisis pengaruh faktor perilaku konsumen terhadap keputusan menginap pada hotel bintang empat Kota Bukittinggi. Jenis penelitian ini adalah asosiatif kausal yang mengetahui pengaruh masing-masing faktor perilaku konsumen terhadap keputusan menginap Populasi dalam penelitian ini adalah tamu yang pernah menginap di hotel bintang empat Kota Bukittinggi, dengan jumlah sampel 125 orang dengan menggunakan teknik purposive sampling. Teknik analisis data yang digunakan adalah analisis regresi linier berganda dengan menganalisis pengaruh faktor-faktor perilaku konsumen terhadap keputusan menginap tamu, baik secara bersama-sama (simultan) maupun pengaruh masing-masing faktor (parsial). Hasil penelitian menunjukkan bahwa: Faktor-faktor perilaku konsumen yaitu faktor budaya, faktor sosial, faktor pribadi dan faktor Psikologis berpengaruh signifikan terhadap keputusan menginap. Faktor budaya tidak berpengaruh signifikan terhadap keputusan tinggal.

Kata kunci: Perilaku Konsumen, Keputusan Menginap, Hotel
Successful treatment of COVID-19-related acute respiratory distress syndrome with rare blood type: A case report
Authors: Yamada Hiroyuki , Ohtsuru Shigeru , Nagatomo Mika , Korogi Yohei , Shinozuka Ken , Tanabe Naoya , Kai Shinichi , Matsubara Takeshi , Ito Isao , Ihara Masahiro , Tanaka Tomoharu , Kato Genta , Nagao Miki , Date Hiroshi
Published: December 2021

A 62-year-old man with rare blood type exhibited severe respiratory
failure due to novel coronavirus. Extracorporeal membrane oxygenation
was inapplicable, which requires numerous blood products with the same
blood type. We thoroughly restricted fluid volumes by sacrificing renal
function. He was discharged with complete recovery of respiratory and
renal functions.
Quantifying the impact of temporal analysis of products reactor initial state uncertainties on kinetic parameters
Authors: Yonge Adam , Kunz M. , Gusmão Gabriel , Fang Zongtang , Batchu Rakesh , Fushimi Rebecca , Medford Andrew
Published: December 2021

The temporal analysis of products (TAP) reactor provides a route to
extract intrinsic kinetics from transient measurements. Current TAP
uncertainty quantification only considers the experimental noise present
in the outlet flow signal. Additional sources of uncertainty such as
initial surface coverages, catalyst zone location, inert void fraction,
gas pulse intensity and pulse delay, are not included. For this reason,
a framework for quantifying initial state uncertainties present in TAP
experiments is presented and applied to a carbon monoxide oxidation case
study. Two methods for quantifying these sources of uncertainty are
introduced. The first utilizes initial state sensitivities to
approximate the parameter variances and provide insights into the
structural certainty of the model. The second generates parameter
confidence distributions through an ensemble-based sampling algorithm.
The initial state covariance matrix can ultimately be merged with the
experimental noise covariance matrix, providing a unified description of
the parameter uncertainties for a TAP experiment.
Immobilization of fluorides from spent carbon cathode in a copper smelting slag
Authors: Li L. , Wu G.-D. , Tian F.-G.
Published: December 2021

The fluorides from spent carbon cathodes could be effectively solidified in a molten copper smelting slag (FeO-Fe3O4-SiO2- CaO-Al2O3) in forms of CaF2 and Ca4Si2F2O7. The results of thermodynamic analysis, chemical analysis, and XRD and EPMA analyses showed that the F solidification efficiency increased with the CaO amount and decreased with the addition of Al2O3 and SiO2. In addition, it was noteworthy that the F solidification efficiency decreased with an excessive CaO amount, which could be ascribed to the consumption of SiO2 through forming CaSiO3 and Ca3Si2O7. It restricted the solidification of the fluoride into Ca4Si2F2O7. Under the conditions of melting temperature of 1300?C, residence time of 60 min, and N2 flow rate of 40 ml/min, the optimum CaO and NaF amounts were found to be 20 wt.% and 6 wt.%, respectively, in which the F solidification efficiency in the copper smelting slag of FeO-Fe3O4-SiO2-CaO-Al2O3 obtained 98.35%.
The pharmacogenomics of vincristine-induced peripheral neuropathy in pediatric acute lymphoblastic leukemia patients in Serbia - a single center experience
Authors: Ristivojevic Bojan , Kotur Nikola , Stankovic Biljana , Gasic Vladimir , Lazic Jelena , Pavlovic Sonja , Zukic Branka
Published: December 2021

Introduction/Objective. Vincristine (VCR) is one of the key drugs in current treatment protocols for pediatric acute lymphoblastic leukemia (ALL). By destabilizing microtubules, VCR arrests cells in metaphase, inducing apoptosis of malignant cells. VCR also causes axonal degradation and impairment of axonal transport, which leads to VCR-induced peripheral neuropathy (VIPN). This study aimed to investigate the association of five variants in pharmacogenes involved in VCR metabolism with VIPN in Serbian ALL children. We also wanted to discover candidate pharmacogenomic markers of VIPN in Serbian population. Methods. PCR and sequencing-based methodology was used to detect variants in CYP3?5, CEP72, ACTG1, MIR3117, and MIR4481 genes. Statistical analyses were performed for investigating their association with VIPN in 56 pediatric ALL patients. Population VCR pharmacogenomics analysis of 17 pharmacogenes from in-house next-generation sequencing data was also done. Data on allele frequency distribution for the European population were extracted from public databases. Results. During the treatment, 17.86% of patients developed VIPN. Association analyses have shown that none of the genetic variants contributed to the occurrence of VIPN in our study. Population pharmacogenomics study did not reveal valid candidate pharmacovariants for VIPN. Our results suggested that pre-emptive pharmacogenetic testing for VCR is not applicable presently. Conclusion. More comprehensive approaches are needed to identify the panel of genes that could explain the VIPN development after VCR administration in ALL patients. Utilizing better designed genome-wide association studies and more robust artificial intelligence-based tools would provide a panel of pharmacogenes for pre-emptive tests of VIPN to individualize therapy for ALL in children.
International Accounting and Auditing Standards Adoption in Non-EU Eastern European Countries: Review of Regulations and Literature
Authors: Rykaczewski Maria , Thevenot Maya A. , Vulcheva Maria
Published: December 2021

In this paper, we review the regulations and research on the adoption of international accounting and audit standards in 11 Eastern European countries outside of the European Union. We find many regulatory commonalities among these jurisdictions related to their Communist bloc heritage. The state remains the most important stakeholder and tax accounting dominates financial reporting. The work of local auditors is considered less reliable than that of their Big 4 counterparts. International organizations and the Big 4 auditors provide stimuli for and assistance with international standards' adoption. Accounting and audit research is limited. The scarcity of data forces most authors to focus on the qualitative evaluation of accounting and audit reforms. Some opt for surveys. Few papers include empirical analyses. Our review covers jurisdictions, which have received limited attention in prior literature. We inform future empirical work and speak to the generalizability of previous research findings to this set of countries.
Mental illness in patients with end-stage kidney disease in South Korea: a nationwide cohort study
Authors: Lee Min-Jeong , Lee Eunyoung , Park Bumhee , Park Inwhee
Published: December 2021

Background: The limited literature on mental illness in end-stage kidney disease (ESKD) patients suggests that this disease is common and burdensome but underrecognized in clinical practice. This study aimed to analyze the prevalence of mental illness in ESKD patients.Methods: We assessed the prevalence and patterns of mental illnesses in a nationwide cohort of patients diagnosed with ESKD between January 1, 2008, and December 31, 2017. The risk of mental illness was evaluated using a multivariable Cox proportional hazards model.Results: A total of 70,079 patients met all study inclusion criteria. A total of 28.3% of patients had mental illness, and the specific distribution was as follows: depression, 16.8%; anxiety, 20.0%; somatoform/conversion disorder, 0.9%; stress reaction/adjustment disorder, 2.5%; and substance abuse disorder, 0.6%. The frequency of mental illness was highest in patients on hemodialysis (HD), followed by patients on peritoneal dialysis (PD) and kidney transplant (KT) patients. The peak rate of mental illness in HD and PD patients was reached 1 to 2 years after renal replacement therapy initiation, but the peak rate of most mental illnesses in KT patients occurred before surgery. The prevalence of depression was 2.19 times higher in HD patients and 1.97 times higher in PD patients than in KT patients.Conclusion: ESKD patients are at high risk of mental illness, and the prevalence of mental illness is highest in HD patients. Since the onset of mental illness occurs around the initiation of renal replacement therapy, clinicians need to pay attention to mental illness when treating ESKD patients.
Competencias digitales en profesores de educación superior de Iberoamérica: una revisión sistemática
Authors: Padilla Escobedo Juan Carlos , Ayala Jiménez Graciela Gerarda
Published: December 2021

El objetivo del presente trabajo fue realizar una revisión literaria en repositorios de documentos científicos sobre el tema competencias digitales de docentes universitarios de Iberoamérica. A partir de criterios de búsqueda establecidos, se encontraron en las bases de datos consultadas más de ocho mil artículos. Sin embargo, se eligieron únicamente aquellos con menos de cinco años de antigüedad, de corte empírico y escritos en español. Los artículos analizados (19 en total) mostraron que la mayor producción sobre el tema en Iberoamérica se ubica en España en comparación con el entorno latinoamericano. Asimismo, se concluye que los estudios se han enfocado más en el componente tecnológico de las TIC que en los aspectos de índole pedagógica. Por ello, cabe resaltar que el simple empleo de las TIC en el proceso de enseñanza-aprendizaje es insuficiente para fomentar cambios radicales en la educación formal, ya que lo más significativo es habilitar a los docentes en el empleo de competencias digitales que potencien el aprendizaje real de los estudiantes.
Modern technologies of marketing research and market analysis
Authors:   Lviv Polytechnic National University, Duma Oleh , Melnyk M. ,   Lviv Polytechnic National University
Published: December 2021

Nowadays, marketing research is increasingly important for the success of enterprises. Conducting marketing research reduces the risk of making wrong decisions in the analysis and development of marketing strategies, planning and control of marketing activities. The article provides an overview of the emergence of marketing research, explores the latest methods of marketing research, their advantages and disadvantages, the possibility of its application at different stages of marketing activities. Scientific approaches to the interpretation of the concepts "marketing research", "methods of marketing research" are systematized. The latest methods of marketing research that widely use AI, Big Data, ML, TRI * M, have been studied. The technologies of mobile advertising, areas of use of artificial intelligence, the essence and features of the formation of Big Data and machine learning were researched in the article. The benefits of using artificial intelligence, big data and machine learning to conduct marketing research were researched in the article. Analytical materials are confirmed by cases from the practice of marketing research. All research outcomes were proved by cases of Independent Media, TNS Ukraine, British Council, Chat fuel and Coca - Cola. The scheme of the marketing research process is supplemented by the possibilities of applying the latest technologies, which are grouped by stages. Any marketing research is a sequence of steps. Each of them uses a set of tools that provide collection, processing and analysis of data about the target market, customers, or economic processes. Each of these stages can be implemented using the modern technologies that are widely used in various spheres of human life. The directions of application the artificial intelligence, Big data, machine learning for carrying out office researches, field researches, pilot researches and a method of focus groups are offered. The analysis of realization of methods of marketing researches on the basis of Big Data, AI, ML is carried out.
Problems of improving the quality of social services in the process of deepening international cooperation of domestic and polish enterprises
Authors:   Lviv Polytechnic National University, Protsyk Iryna , Kara Natalia ,   Lviv Polytechnic National University
Published: December 2021

The article analyzes the dynamics of the number of people with disabilities in Ukraine, in particular by groups and separately children with disabilities, the provision of services by the State Employment Service for people with disabilities, including Lviv region during January-September 2020-2021. The stages of the order of creation and development of social services and information support are given; determining the need for social services, goals, objectives; prioritization of social services and project; planning the provision of social services and developing a strategy for their provision; organization of social services and implementation; monitoring and evaluation of service quality. Factors of influence of external and internal environment are defined. Legislative and regulatory framework, economic factors, social policy in the country, technological factors, as well as demographic factors are the main external factors. The main internal factors influencing the quality of social services there are available human resources; material-technical base; information support and financing. The main prerequisites for receiving quality social services by the population are identified, in particular, accessibility for all citizens, both territorially, financially and informationally, individual approach to consumers, taking into account the level of satisfaction of service recipients, as well as compliance with market needs and market trends. The main problems that cause low quality of social services and directions of their solution and avoidance of consequences are identified. There are the main problems: - lack of thorough analysis of demand and supply of social services in the market, control system after their provision to a particular person, as well as feedback from the client in the form of assessing the quality of services received; - low level of staffing in the provision of social services and the level of qualification of employees who provide services; - the lack of a unified approach to the financing of inpatient institutions that provide social services in Ukraine, as well as insignificant amounts of budget funding, imperfect mechanism of transfers of financial resources of the state to the local community cause low quality social services provided by the enterprise; - low level of methodological support for the process of providing quality social services for people with disabilities due to the lack of state quality standards for social services