bluuebunny/crossref_metadata_2025_split huggingface dataset:
RESEARCH OF SCANNING NON-UNIFORMITY IN OPTICAL INTERFERENCE MICROSCOPE
Authors: ВЫХРИСТЮК И.А. , КУЛИКОВ Р.В. , СЫСОЕВ Е.В. 
Published: September 2024

Приводятся результаты исследования неравномерности сканирования в оптическом интерференционном микроскопе, выполненные с помощью микрометрического стола и пьезокерамического актюатора. Регистрация интерференции в процессе сканирования осуществлялась быстродействующей цифровой видеокамерой, что позволило подробно зарегистрировать интерференционный сигнал. На полученных результатах сканирования показана неоднородность расстояний между соседними интерференционными полосами вдоль оси отсчётов - номера кадра. Представлена процедура, позволяющая значительно уменьшить величину неоднородности. Применение такой процедуры позволяет сформировать метрическую шкалу вдоль оси сканирования, которая может быть использована при выполнении высокоточных интерференционных измерений микрорельефа поверхности.
The paper presents the results of a study of scanning irregularity in an optical interference microscope, performed both by a micrometer stage and a piezoceramic actuator. Registration of interference during the scanning process was carried out with a high-speed digital video camera, which allowed us to register the interference signal in detail. The obtained scanning results show the non-uniformity of the distances between adjacent interference fringes along the reference axis ─ the frame number. The procedure is presented that significantly decrease the value of non-uniformity. Application of such procedure allows to form a metric scale along scanning axis which can be used at performing high accuracy interference measurements of surface microrelief.
PHYSICAL MODELING OF HYDRAULIC FRACTURING IN BRANCHED BOREHOLE IN MANMADE BLOCK
Authors: ПАТУТИН А.В. , СКУЛКИН А.А. , ПРАСОЛОВА В.С. 
Published: September 2024

Приведены результаты физического моделирования гидравлического разрыва, выполненного в кубических блоках с длиной ребра 200 мм, изготовленных из пескобетона и его смеси с угольной фракцией, в неоднородном поле напряжений. Трещина создавалась в вертикальной скважине с боковым стволом. Методом компьютерной томографии исследовались сохранность концентратора напряжений, который образуется в месте соединения скважины и бокового ствола, фактический диаметр скважины, наличие техногенной трещиноватости от бурения, размеры пор, образовавшихся при застывании искусственных блоков, а также траектории полученных разрывов. Установлено влияние геометрических параметров задачи и сжимающего поля напряжений на направление распространения трещин.
Physical modeling of hydraulic fracturing is carried out in cubic blocks with an edge length of 200 mm, made of sand concrete mixed with coal fraction, in the nonuniform stress field. A fracture was created in a vertical branched hole. Computer tomography enabled studying the stress raiser at the mother and daughter hole juncture, the actual diameter of the borehole, the drilling-induced fracturing, the sizes of pores formed in consolidation of the manmade blocks, and the trajectories of the created fractures. It is found how the problem geometry and the compressive stresses affect the direction of the created fracture growth.
APPLICATION OF ARTIFICIAL NEURAL NETWORKS FOR THE PREDICTION OF THE INTENSITY OF GROUND VIBRATION AT THE VELIKI KRIVELJ COPPER MINE
Authors: РАДИСАВЛЕВИЧ Й. 
Published: September 2024

На основе искусственной нейронной сети разработана математическая модель прогнозирования интенсивности колебаний пород в сейсмических волнах на открытом медном руднике “Велики Кривель”. При разработке модели использована классическая формула определения пиковой скорости пород, программное обеспечение Peltarion Synapse и массив входных /выходных данных взрывных работ на руднике, содержащий значения параметров взорванных блоков пород и измеренные при подрыве блоков пиковые скорости. С помощью комбинированного метода применения искусственной нейронной сети и регрессионного анализа получена формула для определения пиковой скорости пород для условий рудника “Велики Кривель”. Подтверждено преимущество предлагаемого метода по сравнению с результатами прогнозирования скорости сейсмических колебаний пород, полученных другими методами.
This article presents an artificial neural network (ANN)-based mathematical model for the prediction of the intensity of ground vibration at the Veliki Krivelj copper mine. The starting points for the development of the model are the model of ground vibration, the software package Peltarion Synapse, as a basis, using artificial neural networks ANN and input-output data set of blasted patterns at the Veliki Krivelj open pit. The input-output set contains the values of the blasting parameters of individual blasting patterns and the measured peak particle velocities when blasting those patterns. The advantage of the ANN method was confirmed by comparing the results of predicting the particle velocity obtained by different methods.
GEOMECHANICAL BEHAVIOR OF UNDERMINED ROCK MASS IN BLIND OREBODY MINING IN TASHTAGOL FIELD
Authors: ЕРЕМЕНКО А.А. , ГАВРИЛОВ А.Г. , ШТИРЦ В.А. , ПИСАРЕВ В.С. 
Published: September 2024

Рассмотрено состояние породного целика при отработке слепого рудного тела участка Юго-Восточный Таштагольского месторождения. Проведен анализ геомеханической и геодинамической обстановки при отработке рудных участков данного месторождения. Представлены результаты расчетов напряжений и неупругих деформаций, зоны возможных разрушений в окрестности выработанного пространства при отработке блоков на участке Юго-Восточный до и в период образования провала на земной поверхности. Приведены данные по определению толщины породного целика между сводом выработанного пространства и земной поверхностью геофизическими методами. С помощью гравиметрических измерений и аэрофотосъемки определены площади и периметры провала в ходе ведения очистных работ.
The behavior of a pillar is examined in the course of mining of a blind ore body in the Southeast site of Tashtagol field. The geomechanics and geodynamics of the field is analyzed. The article gives calculations of stresses and inelastic strains, as well as the possible failure zones nearby the mined-out space during actual mining in the Southeast site and in the period of ground surface sink. The authors present the geophysical survey data on the thickness of the crown pillar between the mined-out area roof and ground surface. The area and parameters of the sink are determined from gravimetric measurements and aerial photography.
Naturaleza común: Relatos de no ficción de excombatientes para la reconciliación
Authors: Pérez Motta Natalia Carolina , Herrera Puentes Erik Santiago 
Published: September 2024

La presente reseña elabora un esbozo sobre la publicación Naturaleza común: Relatos de no ficción de excombatientes para la reconciliación. El texto comprende un prólogo y once relatos que en retrospectiva narran las experiencias vividas por los autores durante su etapa de insurgencia.
Isolation and characterization of <i>Escherichia coli</i> associated with diarrhea in chickens and ducks in Hai Phong province
Authors: Dong Van Quyen , Pham Thi Lanh , Nguyen Kim Oanh 
Published: September 2024

Colibacillosis is an intestinal tract infection in poultry caused by Escherichia coli. It is one of the leading causes of mortality and results in significant economic losses for the poultry farming sector due to its high incidence rate. Recently, E. coli has been considered a predominant bacterial pathogen that is responsible for diarrhea and bloodstream infections in chickens and ducks in Vietnam. In this study, E. coli strains associated with diarrhea were isolated from chicken and duck feces and intestines collected from poultry farms in Hai Phong province using a Macconkey selective medium. The obtained isolates were initially identified by the MALDI-TOF MS method, screened for hemolytic activity, and finally identified by 16S rRNA gene sequencing. As a result, eight E. coli strains exhibiting hemolytic activity were identified. Among them, E. coli_5, E. coli_6, and E. coli_8 strains were clustered with E. coli O78:H51, whereas E. coli_3 was grouped with E. coli O78:H4; E. coli_4 and E. coli_7 were clusterd with E. coli O25b: H4; and E. coli_9 and E. coli_16 were grouped with E. coli O26:H11. Our results provide insights into the genetic diversity of E. coli strains associated with diarrhea in poultry farms in Hai Phong province. The isolated strains will be further characterized for the development of effective strategies to control colibacillosis in poultry.
Distribuição dos homicídios e produção do espaço em uma cidade racialmente cindida
Authors: Silva Diego Francisco Lima , Silva Amanda Priscila De Santana Cabral , Santos Maria da Penha Rodrigues dos , Faustino Deivison Mendes , Albuquerque Maria do Socorro Veloso de , Lyra Tereza Maciel 
Published: September 2024

O Recife constitui-se como uma das cidades mais violentas e desiguais do Brasil, sobretudo na ocorrência de assassinatos. O objetivo deste artigo é analisar os efeitos da produção de uma cidade racialmente cindida na distribuição da ocorrência de homicídios no município do Recife. Trata-se de um estudo transversal e ecológico, cujo local de estudo foi o Recife, capital do estado de Pernambuco. O período de estudo contemplou os anos de 2012 a 2021 e a população de estudo foram as vítimas de homicídios provocados por disparo por arma de fogo. Para as análises, o período de estudo foi dividido em dois quinquênios. Observou-se a determinação do racismo no perfil das vítimas: pessoas do sexo masculino (95%), negras (86%), jovens (67%) e com baixa escolaridade (78%). A análise espacial realizada demonstrou pontos de maior incidência de assassinatos no Recife, setores censitários estatisticamente significante de maior risco de morte 2012-2016 (RR=5,7; p=0,031) e 2017-2021 (RR=1,8; p=0,032) e proteção 2012-2016 (RR= 0,3; p=0,001; 0,006 p=0,014) e 2017-2021 (RR=0,1; p=0,001; RR=0,1; p=0,001), e, a maior incidência de homicídios nos territórios com maior Indice de Privação Social (IPS).
Interest of the sentinel node in the case of infiltrating T1 luminal a breast carcinoma: retrospective study at the gynaecology department of the Francois Quesnay Mante-La-Jolie hospital, France
Authors: Raou Kassé , Charles Kakou , Kinifo Yeo , Chrisostome Boussou , Alexis Yao , Issa Ouattara , Serge Boni , Joseph Bakar 
Published: September 2024

Background: During these last twenty years, technic of sentinel lymph node (SLN) stayed the gold standard for axillary exploration, an alternative to axillary dissection in the surgical management of breast cancer. Objective of the study was to make an inventory of the technic of the sentinel lymph node technique in forms T1 Luminal A breast cancers.
Methods: It was a retrospective, descriptive and analytical study over a period of one year (March 2022 to March 2023) in the Gynecology department, François Quesnay hospital, in Mantes-La Jolie (France). Out of 103 files studied, we included 50 patients who had undergone sentinel lymph node excision for T1 luminal A breast cancers with non-palpable and non-detectable lymph nodes on imaging. The parameters studied were epidemiological data, clinical data and paraclinical data. The Chi2 test (α=5%) made it possible to compare the groups (p<0.05 and CI=95%).
Results: The sentinel lymph node excision rate was 48.5%. The median age was 59 years. The epidemiological profile was as follows: Postmenopausal patients (70%), with family history of breast cancer (36%). The circumstances of discovery were: The perception of a breast mass (94%) and the screening examination (34%). The histological lesions were infiltrating ductal carcinomas in 94% of cases and 60% located in the right breast. There were 12 (24%) lymph node metastatic lesions, including 5 macrometastases and 7 micrometastases. There was no link between metastatic involvement of sentinel lymph nodes and age, menopause, family history of breast cancer, concept of screening, histological type. The Chi square was respectively 0; 1.34; 0.05; 0.41; 1.01. There was a link when the cancer was located in the right breast (chi2=10.52 and p=0.001), [CI = (12.16-35.84)].
Conclusions: There was no link between metastatic involvement of sentinel lymph nodes and luminal histological type A, T1. Furthermore, there was a link between metastatic involvement of the sentinel lymph node and the right-sided location of breast cancer. Is this linked to the predominance of cancer in the right breast?
Ultrasonographic measurement of cervical length versus Bishop score for prediction of successful induction of labor
Authors: Rai Snigdha , Pande Prabhat B. , Poudel Sandesh , Upadhyaya Preetam C. , Shah Pushkal 
Published: September 2024

Background: Induction of labor is a commonly used procedure by obstetrician which denotes artificially stimulating uterine contraction and initiating labor. This study aims to compare transvaginal measurement of cervical length and Modified Bishop score for the prediction of successful labor induction.
Methods: This was a prospective cross-sectional study done at Paropakar maternity and Women’s Hospital, Kathmandu, Nepal from September 2021 to August 2022. 274 term pregnant women admitted for induction of labor were included in the study. Transvaginal sonography and Modified Bishop scoring were done within 24 hours prior to induction. Vaginal delivery within 24 hours of labor induction was considered as successful.
Results: Among 274 patients that were included in the study, 203 (74.08%) of the induced patients had vaginal delivery within 24 hours and 70 (25.9%) had induction failure. Majority of the patient belonged to the reproductive age group of 19-35 years (239, 85.9%) and most of them were primigravida 157 (56.7%). The sensitivity and specificity of transvaginal cervical length and Modified Bishop Score was 72% and 66.8% vs 24% and 85%. The overall accuracy of prediction of successful labor induction was higher for transvaginal cervical length (72% vs 35%).
Conclusions: Transvaginal measurement of cervical length is more accurate in predicting success of labor induction in compared to Modified Bishop Score.
Missed opportunities for antenatal syphilis testing and its associated factors among mothers delivered at fort portal regional referral hospital, Uganda: a cross-sectional study
Authors: Hakizimana Theoneste , Ishimwe Marie Pascaline Sabine , Fajardo Yarine , Adoch Christine Olwedo , Paul-Chima Agwu Okechukwu , Kajabwangu Rogers 
Published: September 2024

Background: The global effort to eradicate mother to child transmission (MTCT) of syphilis concentrated on attaining antenatal syphilis screening and treatment; nevertheless, there is lack of data about the accessibility of prenatal screening and treatment in Sub-Saharan Africa (SSA). This study aimed at determining the proportion of missed opportunities for antenatal syphilis testing and associated factors among mothers in rural western Uganda delivered at Fort Portal Regional Referral Hospital (FRRH).
Methods: A cross-sectional study was conducted from postnatal ward of FRRH from April to July 2022. Consecutive sampling of 381 participants was done. A structured pretested questionnaire was used to obtain Sociodemographic details and other factors required for analysis. Using SPSS version 22.0, descriptive statistical analysis was done and binary logistic regression was computed to determine factors associated with missed opportunities for antenatal syphilis testing with a significance level of 5% and 95% confidence interval.
Results: The proportion of missed opportunities for syphilis testing was 124 (32.5%). lack of syphilis test counseling (aOR= 4.3 [2.009-9.438], lack of knowledge of syphilis MTCT (aOR= 3.1 [1.120-8.903], lack of transport (aOR= 10.7 [3.116-36.810] and fear of testing (aOR= 4.3 [1.075-17.484] were found to be independently associated factors after multivariate analysis.
Conclusions: Our study findings demonstrated the need of sensitization of healthcare providers including antenatal care (ANC) staff about the role of identifying mothers who missed antenatal syphilis testing while in postnatal ward for education, counselling and testing.
Artificial intelligence in combating antimicrobial resistance
Authors: Singh Desh Nidhi , Natto Hatim Abdullah , Mahmood Ammar Abdul Razzak , Thiruvengadam Sriram , Vasanthi Rajkumar Krishnan 
Published: September 2024

Antimicrobial resistance (AMR) occurs when microorganisms, acquire genetic changes resistant to antimicrobial drugs, including antibiotics. Conventional techniques for combating AMR are expensive and time consuming, but Artificial intelligence (AI) is currently being developed that can rapidly scan through extensive chemical libraries and forecast possible antibacterial substances. The use of AI in medical research has significant promise, particularly in addressing multidrug-resistant (MDR) infections to battle AMR. Algorithms of AI monitors antibiotic usage, occurrences of diseases, and trends of resistance, thus influencing the development of novel drugs. Through AI, researchers can rapidly identify potential new drugs that could be effective against antibiotic-resistant bacteria, saving valuable time in the development process. By analyzing vast amounts of data, AI algorithms can also help to predict future trends in antibiotic resistance, allowing for proactive measures to be taken. With the ability to analyze data at a rapid pace, AI is revolutionizing the way researchers approach drug development, health risks and disease prevention. As technology continues to advance, the impact of AI in combating antimicrobial resistance becomes more significant. Overall, the integration of AI in medical research shows great potential in the ongoing battle against antimicrobial resistance. This review describes the application of AI to identify AMR markers, diagnosis in AMR, small molecule antibiotic development and also emphasizes emerging research domains, such as AMR detection and novel drug development, that contribute to the management of AMR.
Bacteriological spectrum of infections in orthopaedic implants and their antibiotic susceptibility pattern
Authors: WV Vandana , Kumari Pooja , Machado Santosh , C Y Ranjini 
Published: September 2024

Orthopaedic implant infections are one of the most challenging complications among orthopaedic surgeries which occurs despite the best management practices. The rise of antibiotic-resistant bacteria is set to pose a major challenge in the treatment of these infections. The present study is done to identify the risk factors and bacteriological isolates responsible for orthopaedic implant infections and to study their antimicrobial susceptibility patterns. : This was a cross-sectional study carried out at a tertiary care hospital in India over eighteen months on patients presenting with the signs and symptoms of infections post-implant surgery. Microbiological samples were collected & processed as per the standard guidelines.: Out of 57 patients with implant infections, 44(77%) had internal fixators & 13 (23%) had prosthesis insertion. 32(56%) patients presented with delayed infection. The most common risk factors were Diabetes, smoking, extensive trauma followed by alcohol consumption. The most common site infected was Tibia. The most common bacteria isolated were S.aureus (28%) followed by Coagulase-negative staphylococci & E.coli (19.2%) each. Among Staphylococci isolates, 59% of the isolates were methicillin-resistant. Among Gram-negative isolates, 56.6% of the isolates were either ESBL or/and AmpC producers and 20% were carbapenemase producers.: Despite best management practices, orthopaedic implant-related infections are often encountered. The high incidence of Multidrug-resistant organisms observed in this study is the cause of concern and underscores the need for better preventative and therapeutic strategies like strict adherence to the antibiotic policy and multidisciplinary approach to reduce the incidence & burden of treatment in these infections.
Candidemia in a tertiary care hospital: Changing trends
Authors: Babu Aishwarya , Kshirsagar Devashree , Thakar Vrushali Harsh , Dalal Bharati Avinash , Modak Meera , Kumar Mahadevan 
Published: September 2024

Candida has emerged as a major cause of blood stream infections and ranks among the top ten pathogens responsible for hospital acquired infections. It is more common in children and adults admitted in critical care units. Though was the most commonly isolated species there has been a shift to Non-albicans species of Candida (NAC) as the major causative agent in the recent years. Many NAC are also intrinsically resistant to azoles. Blood samples from patients with suspected candidemia were received in automated blood culture bottles. species were identified using standard microbiological techniques, including CHROM agar and VITEK 2 compact. Patient’s demographic and clinical details were collected. Data was analyzed using Microsoft excel.Out of the 4367 blood culture samples received, 131 (2.99%) grew species. Most frequently isolated species was (32%)followed by (29%). Antifungal resistance was notable: 26.8% of isolates were resistant to fluconazole , 11.5% to voriconazole,10% to caspofungin,7.7% to micafungin and 18.4% to amphotericin B. Mortality due to candidemia was 16.79%, with C.parapsilosis being the most prevalent species among deceased patients With the emergence of drug-resistant species, the treatment of candidemia is becoming increasingly challenging. Rapid diagnosis, early treatment, adherence to proper infection control and antimicrobial stewardship practices are essential to reduce the burden of candidemia in developing countries like India. Effective management strategies are crucial to improve patient outcomes and combat the rising threat of antifungal resistance.
Study of etiology and risk factors of neonatal sepsis in a tertiary care hospital in North Karnataka
Authors: Janagond Anand Bhimaray , Reddy Advaitha Annapurna , Solabannavar Shivakumar S , Badakali Ashok 
Published: September 2024

Neonatal sepsis (NS) accounts for around 23% of annual neonatal deaths in India. The aetiopathogenesis of early neonatal sepsis (ENS) and late neonatal sepsis (LNS) vary. This study intends to analyse the associated risk factors associated with NS, bacteria causes, their antibiotic susceptibility patterns, and treatment outcome. In this hospital-based prospective observational study, 102 consecutive cases of NS admitted to NICU were included. Blood samples were cultured in BacT/Alert and bacterial isolates were further processed in Vitek2. Details of potential risk factors were collected using a checklist, and the participants were followed up till recovery/transfer/death. Data was analysed by calculating the proportions, percentages and chi square test.Participants included 86 ENS and 16 LNS cases. Majority of the ENS (62%) and nearly half of the LNS (55%) cases were born premature. Majority of the ENS (67%) and nearly half of the LNS (47%) cases had low birthweight. Meconium-stained liquor (19%) and premature rupture of membranes (14%) were the commonest perinatal risk factors associated with ENS. Other risk factors noted in NS were poor APGAR score, perinatal asphyxia, intravenous fluid administration (98%) and central venous catheter (22%).The culture positivity among NS cases was 22%. Staphylococcus spp. was the commonest bacterial pathogen isolated from neonatal sepsis cases, both among ENS and LNS, most of them being methicillin resistant. Klebsiella pneumoniae was the commonest GNB isolated. Common risk factors associated with neonatal sepsis in general were prematurity and low birth weight. Meconium-stained liquor, and premature rupture of membranes were seen more commonly in ENS. In this hospital, though NS is predominantly caused by MDR bacteria, the treatment outcome is good.