bluuebunny/crossref_metadata_2025 huggingface dataset:
Modeling operation of forest harvester in AnyLogic simulation system
Authors:   Volga State University of Technology, Rukomoynikov K.P. , Sergeeva T.V. ,   Volga State University of Technology, Gilyazova T.A. ,   Volga State University of Technology, Tsarev E.M. ,   Volga State University of Technology, Anisimov P.N. ,   Volga State University of Technology
Published: June 2023

The purpose of the work is to create a computer model that allows to reproduce the technological process of logging, taking into account a huge number of various conditions that can affect the final result of the enterprise, to obtain the data necessary for making effective managerial and organizational decisions on labor standardization and the preparation of regulatory documentation. To do this, using the agent-based modeling method, a simulation model of the production process was created in the AnyLogic program. The functioning of the proposed model is carried out on the basis of significant statistical data on the most important characteristics of individual elements of the production process. The article demonstrates the possibilities of modeling technological schemes of work at the cutting site at the design stage of the technological map without the need for real felling of forest plantations. The diagram of the conditions of the harvester’s work is presented, embedded in the simulation model created by the authors, which allows the researcher to conduct a step-by-step analysis of the work of the logging machine. An information-logical detailing of all blocks of the harvester work state diagram is shown, which allows understanding the principle of analysis when clearing the site for a new working position, analyzing the availability of trees in apiaries, processing of tree trunks, taking into account all movements and organizational and technical downtime in the process of developing forest cuttings. The reader is presented with a graphical demonstration of the choice of trees available for felling, as well as an analysis of the situation for moving to a new working position of the harvester. The sequence of data entry into the model and the principles of fixing the scientific results obtained on the basis of modeling are outlined. The created simulation model will allow forest users to compare the options for the technological schemes of the harvester's movement along the forest cutting with the choice of the best organizational and management solutions; creation of labor standards and production standards for the development of forest cuttings in any natural and production conditions for any model of the harvester used, depending on the type of felling and the species and quality characteristics of the felled trees.
Modelling forest clearing technology with multi-operator machine
Authors:   BMSTU (Mytishchi branch), Karpachev S.P. , Bykovskiy M.A. ,   BMSTU (Mytishchi branch)
Published: June 2023

A conceptual model of a forest multi-operator machine for clearing debris caused by tree mortality is presented. A technological process of sanitary forest clearing that minimizes manual labour with the help of a machine and a winch is considered, including the technology of litter removal with its processing into firewood in the forest. Two variants of multi-operating machine's work with a winch are given: sequential, when the machine processes the wood from the fell as it is received from the winch, and parallel, when the winch and machine work independently of each other. It is established that the productivity at debris removal at parallel operation of the machine and winch is higher by 7...14 % than at their consecutive operation. It is revealed that the productivity of a multi-operator machine when the machine and a winch work in parallel increases by 53...55 %. It is determined that the load of the machine, when working together with a winch, is less than 50 % of working time. It is recommended that the winch and the machine work together at close capacities, if the winch capacity is very different from the machine capacity, then they should work separately.
Air Pollution, Cigarette Smoking, Diet, and Acne: Do Environmental and Habitual Factors Affect Acne?
Authors: Maden Serap
Published: June 2023

Acne vulgaris is a common skin condition that is mostly seen in young adults. It has always been an enigma for physicians and patients if diet or environmental factors are responsible for developing acne. This article presents the relationship between air pollution, cigarette smoking, dietary factors and acne through the pathogenesis of acne.
A Novel PTCH1 Mutation in Patient with Gorlin-Goltz Syndrome and its Management, A Case Report
Authors: Panasiti Vincenzo
Published: June 2023

Gorlin-Goltz syndrome (GS), also known as nevoid basal cell carcinoma syndrome or basal cell naevus syndrome, is a rare autosomal dominant hereditary disease characterized by systemic and diverse developmental abnormalities and neoplastic lesions [1]. Patients with Gorlin-Goltz syndrome develop commonly multiple odontogenic keratocysts around the age of 20, and basal cell carcinomas (BCCs) especially in middle-aged patients. The diagnosis of GS is based on clinical, radiological, and genetic elements. The criteria reported by Kimonis et al. [2] are the most used. This method includes six major criteria: basal cell carcinoma, palmar plantar small depression, jaw bone cyst, rib abnormalities, calcified falx cerebri, and family history of the disease within the first degree; and six minor criteria: macrocephaly, ovarian fibromas, congenital malformation, skeletal abnormalities, X-ray abnormalities, and medulloblastomas. Follow these criteria, we can make a diagnosis when the patient presents two major criteria, or one major and two minor criteria [2]. The confirm of the diagnosis is related to gene mutation analysis. So genetic counseling is mandatory after genetic diagnosis.
A Series of Clinical Cases of Psychocutaneous Disorders in a Dermatology Unit in Albania
Authors: D Sabina
Published: June 2023

This study aims to represent our clinical experience with several psychocutaneous disorders, such as trichotillomania, neurotic excoriation, dermatitis artefacta, and parasitic delusion. Lightening the human mind’s way of function has always been a challenge and has attracted medical interest through the years. Psychodermatology has recently received attention because different mechanisms of psychoneuroimmunology are being explored. They can successfully explain different clinical presentations and drug therapy. Awareness, recognizing important risk factors (suicide, serious self-harm, other people harm, child abuse, and neglect), associated psychiatric diagnoses, adequate screening, seeking a specialized referral, and reasonable security measures should be on focus. The proper management needs a multidisciplinary team, including the dermatologist, the psychiatrist, the family physician, and the social support.
European Solidarity Corps Projects Responding to COVID-19: Implications for Future Crises
Authors: Dostál Jakub
Published: June 2023

In 2020, the COVID-19 pandemic hit the world in an unprecedented way, affecting various areas of the economy and society, including nonprofits and volunteering. However, nonprofits and volunteering did not just face challenges due to the pandemic; they also played a role in dealing with it. This article focuses on the European Solidarity Corps (ESC), an EU initiative that promotes solidarity through volunteering in countries worldwide. There was a content analysis of all the ESC projects with pandemic-relevant keywords. Though the ESC requests for proposals in the first year of the pandemic did not address the pandemic, about 8% of projects explicitly named the pandemic as either a main or secondary reason for the projects. The ESC projects represent a way to relatively flexibly allocate public funding for local and international volunteer projects dealing with various humanitarian crises, such as COVID-19 or the war in Ukraine.
Adequate physical activity reduces the risk of depression associated with stressful life events: Evidence from the newlywed population
Authors: Liao Tierong , Tang YanLan , Yang Xinliu , Gao Yaya , Liu Yuwei , Pan Guixia , Zhu Peng , Tao Fangbiao , Shao Shanshan
Published: June 2023

Background
Epidemiological studies suggest that stressful life events (SLEs) and physical activity are associated with depression. However, very few studies have explored their interaction effects, especially in the newlywed population. This study aimed to estimate the independent and interaction effect of SLEs and physical activity on depression in newlyweds.
Methods
A total of 60,315 newlywed people from the Reproductive Health of Childbearing Couples-Anhui Cohort were included in the study. A 12-item checklist of stressful events was used to assess SLEs during the past six months. The International Physical Activity Questionnaire Short Form was used to evaluate physical activity in the past week. The Patient Health Questionnaire-9 was used to assess depression in the past two weeks. Generalized linear regression models were constructed to evaluate the independent and interaction effect of SLEs and physical activity on depressive scores.
Results
Of the 60,315 newlywed people, 70.6% had experienced at least one SLE during the past six months; 48.4%, 39.3%, and 12.3% of participants reported low, moderate, and high physical activity levels, respectively. After adjusting for covariates, more SLEs (1 ≤ SLEs ≤ 2: β = 0.978, 95% CI: 0.877–1.079; SLEs ≥ 3: β = 2.582, 95% CI: 2.485–2.670) and higher (moderate: β = -0.461, 95% CI: -0.561 ~ -0.361; high: β = -0.641, 95% CI: -0.786 ~ -0.495) physical activity were associated with increased and reduced depression scores, respectively. Significant interaction effects of SLEs and physical activity on depressive scores were observed (P for interaction < 0.001). Specifically, SLEs were more strongly associated with depressive scores in the low physical activity group (1 ≤ SLEs ≤ 2: β = 0.978, 95% CI: 0.877–1.079; SLEs ≥ 3: β = 2.582, 95% CI: 2.487–2.678) than that in the moderate (1 ≤ SLEs ≤ 2: β = 0.747, 95% CI: 0.654–0.841; SLEs ≥ 3: β = 2.104, 95% CI: 2.014–2.195) or high (1 ≤ SLEs ≤ 2: β = 0.827, 95% CI: 0.668–0.987; 3 ≤ SLEs: β = 2.168, 95% CI: 2.015–2.321) physical activity groups.
Conclusions
The findings indicate that adequate physical activity is a potential precautionary buffer against depression associated with SLEs in the newlywed population. Strategies to improve the level of regular physical activity may be adopted by the government to promote the overall well-being of the country.
Diversity of benthic macroinvertebrates as an indicator of water quality and ecological status of an Aegean river (Türkiye)
Authors: ÖZBEK Murat , AYGEN Cem , TAŞDEMİR Ayşe , YILDIZ Seray , TOPKARA Esat T. , ÇİL Eylem AYDEMİR
Published: June 2023

Bakırçay, one of the important rivers of Western Anatolia, has a length of 129 km and its basin covers approximately 3160 km2 area. In addition to the existence of settlements, industrial and intensive agriculture-livestock activities are carried out, especially in the lower parts of the river. The objectives of this study are; a) to determine the diversity of benthic invertebrates distributed in Bakırçay, b) to evaluate the obtained data using various biological indices, c) to determine the interactions of species with environmental variables, and d) to estimate the water quality level of the river using BMWP and ASPT analyzes. Samplings were carried out at 15 stations between October 2017 and July 2018, seasonally. 11897 specimens belonging to 136 benthic invertebrate taxa were determined. Diptera and Oligochaeta were the dominant groups with 32 and 25 taxa, respectively. Station 4 has the highest species richness with 49 taxa. The highest individual number (3421) was at the 14th station. Tubifex tubifex and Physella acuta have the highest dominancy (25.76%) and frequency (51.67) values, respectively. Diversity (H’) values of the stations fluctuated between 1.367 (st. 13) and 3.154 (st.12). Similarity analysis showed that the 3rd and 11th stations have the highest similarity (> 90%), while the 14th station was an outgroup and has 28% similarity ratio. According to BMWP and ASPT scores, there was no 1st class water quality in the river, but the results of the TR-BMWP score suggested that the 1st, 4th and 6th stations had 1st class water quality.
Three Decades of Novel Drug Approval: A Comprehensive Analysis
Authors: Joshi Geeta , Jain Aditi , Garg Harshit , Bhandari Mukund
Published: June 2023

This study analyzes FDA approved novel therapeutic drugs over the past three decades to identify trends in drug development. The study collected and analyzed information on drug attributes, approval types, and targeted diseases for drugs approved between 1991 and 2023. Results show that the FDA has approved 1096 novel drugs, with 79% being new molecular entities (NME) and 21% being biologics. Priority review was granted to 46% of the drugs, and 34% were given orphan status. Breakthrough therapy status was granted for 11% of the drugs, and 7% received accelerated approval. Novartis sponsored the highest number of approved drugs, with 54 in total. Around 22% of the drugs approved were cancer-related, with lung and breast cancer being the top two types. The study concludes that FDA's regulatory incentives could facilitate the pharmaceutical industry in addressing new challenges and bringing innovation in the future. A user-friendly web portal and application is in development to allow user to access updated comprehensive information of novel drugs all in one place.
Land Use Transformation Based on Production-Living-Ecological Space and Associated Eco-Environment Effects: Evidence from the Upper Reaches of the Yangtze River, China
Authors: Su Xuyang , Wang Mingyang , Zeng Yanmei , Gong Jianjiao , wen chuanhao
Published: June 2023

The rapid process of urbanization and industrialization has intensified the competition among various stakeholders for land resources, leading to increasingly fierce mutual conversion between production, living and ecological land, thus causing fluctuations in regional ecological environmental quality. This study focuses on the upper reaches of the Yangtze River (URYR), land use data were obtained by interpreting five remotely-sensed images taken in 1980, 1990, 2000, 2010, and 2020. Using methods such as transfer matrix, ecological environmental quality index, geographic detector etc., the study conducts quantitative analysis on land use transformation, eco-environmental effects, and influencing factors in the URYR. The results show that from 1980 to 2020, the land use transformation is manifested as an increase in living land and a decrease in production and ecological land. The primary type of land use space evolution is the transformation between production and ecological land, and the overall eco-environment quality has declined. The high-value areas are mostly concentrated in the southwest and east, while low-value aggregation areas are formed in the central and western parts. Natural environment factors serve as the base of eco-environment quality in the URYR. The influence factors from strong to weak are topographic relief, slope, net primary productivity (NPP), mean annual temperature, altitude, land use intensity, economic density, annual average precipitation, road network density, population density and land use diversity. The research findings presented in this paper can serve as a valuable reference for the fields of environmental conservation and territorial spatial planning.
Bioengineering vaccinia virus envelope protein to purify size-specific anticoagulant oligosaccharides from heterogeneous heparins
Authors: Carillo Kathleen , Mernie Elias , Tamang Hem , Chen Yi-Ju , Tseng Mei-Chun , Lou Yuan-Chao , Chen Chien-Chang , Chen Yu-Ju , Tzou Der-Lii
Published: June 2023

Ultra-low molecular weight heparins (ULMWHs) are being used as anticoagulant drugs that exhibit a low risk, long lifetime and high efficacy. However, a robust and cost-effective purification methodology to isolate ULMWHs from naturally occurring heparins (HPs) is lacking. Vaccinia virus envelope protein A27 and a truncated variant (sA27-aa) bind specifically to HPs for virus/cell attachment. Here, we reported that using a high-affinity bioengineered sA27-aa for heparinase depolymerisation enables extraction of size-specific oligosaccharides, such as tetra-, hexa- and octa-saccharides (HP-4, -6 and − 8, respectively), with high purity and yield. Molecular interactions of the HP-4•viral protein complex and HP-4 sugar composition were resolved by mass and NMR, with data from both spectrometry in good agreement. As demonstrated by in vivo and in vitro bioassays, HP-4 possesses superior antithrombotic efficacy, stable properties and a low bleeding risk. Our methodology facilitates unprecedented extraction of unique ULMWHs that could benefit patients suffering from thrombosis.
Lightning association with aerosol and relative humidity over Andhra Pradesh and adjacent area in southeast India: A general prospection
Authors: Lal Deen Mani , Umakanth Nandivada
Published: June 2023

The association of lightning yield per vertical column aerosol of unit cross section (AOD) with relative humidity and rainfall has been investigated using surface observation as well as satellite data for the south-east Indian peninsula, especially Hyderabad and adjacent areas, from 2019–2022. For the healthy finding, the study domain area has been separated into three sub-regions: Region R1 (Lat: 17.7–19.5; Lon: 78.5–84.5); R2 (Lat: 15.1–17.5; Lon: 76–80.1); and R3 (Lat: 12.5–15; Lon: 76–80.1). During the investigation, a non-homogeneous relationship between aerosol and lightning has been found, which increases with decreasing latitude (moving towards the south). It has also been found that the yield of lightning per AOD, cloud per AOD, and rainfall increases when relative humidity increases. However, lightning per AOD is non-linearly associated with humidity during the rain. Most of the clouds in region R2 have lightning, with or without rain. A regression equation has been investigated that successfully captures the lightning that occurred in the regions R1 and R2.
Value of estrogen pretreatment in patients with diminished ovarian reserve and elevated FSH on a line antagonist regimen: a retrospective controlled study
Authors: Lin Lin , Chen Guoyong , Liu Yun
Published: June 2023

Background
Estrogen pretreatment during in vitro fertilization–embryo transfer (IVF–ET) fertility treatment improves follicular development and increases the number of eggs in patients with a normal ovarian response. However, the effect of estrogen pretreatment in patients with a diminished ovarian reserve (DOR) and elevated basal follicle-stimulating hormone (FSH) levels has not been well studied.
Methods
We retrospectively analyzed the clinical data of patients with elevated basal FSH levels and DOR (401 cycles) who underwent IVF/intracytoplasmic monosperm injection (ICSI)-assisted conception. Both groups were treated with a flexible gonadotropin-releasing hormone (GnRH) antagonist regimen and were further divided into two groups according to whether they received luteal estrogen pretreatment. There were 79 patients in the estrogen pretreatment group and 322 patients in the control group. Gonadotropin (Gn) stimulation of the ovaries was started on day 2 of the menstrual cycle, and the general data, ovulation promotion, embryonic development, and clinical outcomes of the two groups were compared.
Results
The basic profiles of the two groups were similar (P > 0.05). More patients in the pretreatment group showed FSH rebound after gonadotropin (Gn) initiation, resulting in a significantly higher number of Gn days and total Gn than those in the control group (P < 0.05). There was no statistically significant difference in the number of days of antagonist use, follicle output rate, number of metaphase II(MII) eggs obtained, number of Two pronuclei༈2PN༉ fertilized, number of D3 quality embryos, blastocyst formation rate, fresh embryo clinical pregnancy rate, cumulative pregnancy rate, and non-transferable embryo rate between the two groups (P > 0.05).
Conclusions
The use of luteal phase estrogen pretreatment in patients with elevated basal FSH combined with DOR resulted in high FSH levels after the release of negative feedback, which was detrimental to early follicular growth, did not increase the follicular output rate, may have increased the use and duration of controlled ovarian stimulation drugs, and did not increase the number of eggs gained or improve clinical outcomes.
Study of the mutation causing type 1 polysaccharide storage myopathy in a Mangalarga Marchador population used in breeding programs
Authors: Silva Nayne Vieira da , Albuquerque Ana Luísa Holanda de , Oliveira Filho José Paes de , Borges Alexandre Secorun , Delfiol Diego José Zanzarini
Published: June 2023

The Mangalarga Marchador (MM) breed, which originated in Brazil, constitutes the largest number of horses in the country. The animals are versatile and used in several sports because of major investments made for the genetic improve-ment of the breed. In recent decades, advances in molecular techniques enabled the identification of genetic diseases in hor-ses. Conducting molecular tests and determining the occurrence of mutations are fundamental for the early identification and prevention of abnormalities. Among the known genetic diseases that occur in horses, the c.926G>A mutation in the GYS1gene that causes type 1 polysaccharide storage myopathy (PSSM1) stands out, because it has been identified in several breeds of horses. Although myopathy is common in MM horses, the occurrence of the c.926G>A mutation in the GYS1 gene has not yet been evaluated. The lack of knowledge about the possible presence of PSSM1 averts the adoption of control measures to prevent the spread of the disease in MM horses. Therefore, the aim of this study was to verify the occurrence of the muta-tion that causes PSSM1 in MM horses used in breeding programs. Blood DNA was extracted and the region of the GYS1gene containing the mutation was amplified and sequenced. No mutation in the GYS1 gene was found in the evaluated sam-ples. However, since clinical signs of myopathy are frequently observed in MM horses, further studies, including histological analysis, are necessary to establish the underlying causes. In addition, if there is a genetic pattern of occurrence, molecular studies should be considered.
Bee pollen from different floral species of the caatinga biome: determination of nutritional parameters
Authors: Costa Karen Daniele Lima da , Abreu Maria Carolina de , Moura Sinevaldo Gonçalves de , Bendini Juliana do Nascimento
Published: June 2023

The objective of this work was to characterize nutritional parameters of bee pollens from plant species occurring in a semiarid region, in Picos, state of Piaui, Brazil. Bee pollen samples were collected from the experimental apiary of the Study Group on Bees from the Semiarid Region of Piaui (GEASPI/UFPI) and subjected to melissopalynological analysis to determine their botanical origins, and bromatological analysis (crude protein, lipids, fibers, and ash) in the Laboratory of Animal Nutrition of the Department of Zootechnics of the Federal University of Piaui (UFPI), in Teresina, Piaui (DZO/UFPI/Teresina). Six plant species (Aspilia sp., Senna obtusifolia,Mimosa pudica L., Cupheaericoides, Croton sp., and Mimosa caesalpiniifolia) were predominant for bee pollen production in the study area. Therefore, the nutritional compositions of the pollen produced in the Caatinga area varied according to their botanical origin, as shown by the crude protein (20.75% to 38.18%), fiber (0.53% to 1.37%), lipid (0.49% to 4.7%), and total mineral (2.56 to 4.17%) contents. Bromatological parameters also varied according to the botanical origin of the pollens evaluated. The study region has considerable diversity of pollinator plant species that provide bee pollens with a wide spectrum of nutritional characteristics.
Clinical and epidemiological findings of cecal disorders in horses in the state of Paraíba
Authors: Sousa Lavínia Soares de , Azevedo Natalia Matos Souza , Azevedo Márlon de Vasconcelos , Carvalho Lucas Beserra de
Published: June 2023

This was a retrospective case study of colic syndrome of cecal origin in 159 horses treated at a reference Veterinary Center between June 2015 and July 2021. The data studied were breed, age, sex, clinical examinations of the initial emergency care, treatment protocols (clinical and/or surgical) and resolution (hospital discharge, euthanasia or death). It was observed that 7.55% (n = 12) of the cases corresponded to colic syndrome of cecal origin, where 75% (n = 9) had heart rate within the physiological range for the species, as well as 50% (n = 6) for capillary refill time values, 33.33% (n = 4) for pink mucosa, 41.67% (n = 5) for rectal temperature, and 16.67% (n = 2) on abdominal auscultation. In 58.34% (n = 7) of patients, pain could be controlled with analgesics, with recurrence in 41.67% (n = 5). All treated cases were cecal impaction, where 58.33% (n = 7) ruptured the cecum. In 75% (n = 9) of the cases, surgical treatment was performed. Regarding the general resolution of cases, 41.67% (n = 5) of the animals were discharged. Therefore, it is concluded that despite the increase in the diagnosis of colic of cecal origin, this disease is still rare (7.55%) and has a high potential for death since there are few clinical alterations, making its early diagnosis difficult.
Health Economic Evaluation of Cognitive Control Training for Depression: Key Considerations
Authors: Nève de Mévergnies Constance , Verhaeghe Nick , Koster Ernst H W , Baeken Chris , Vander Zwalmen Yannick , Hoorelbeke Kristof
Published: June 2023

Depression is a serious and burdensome psychiatric illness that contributes heavily to health expenditures. These costs are partly related to the observation that depression is often not limited to a single episode but can recur or follow a chronic pathway. In terms of risk factors, it is acknowledged that cognitive impairments play a crucial role in vulnerability to depression. Within this context, cognitive control training (CCT) has shown its effectiveness in reducing the risk for recurrence of depression. CCT is low cost intensive and can be provided as a web-based intervention, which makes it easy to disseminate. Despite increasing interest in the field, studies examining the cost-effectiveness of CCT in the context of depression are largely missing. Health economic evaluation (HEE) allows to inform decision makers with evidence-based insights about how to spend limited available (financial) resources in the most efficient way. HEE studies constitute a crucial step in the implementation of a new intervention in clinical practice. Approaching preventive measures for depression such as CCT from an HEE perspective is informative to health policy, fostering optimal use of health expenditures. The aim of this paper was to inform and guide researchers during the phase of designing HEE studies in the context of CCT for depression. A clear view of CCT’s cost-effectiveness is paramount for its clinical implementation.
Social Determinants of Health Documentation in Structured and Unstructured Clinical Data of Patients With Diabetes: Comparative Analysis
Authors: Mehta Shivani , Lyles Courtney R , Rubinsky Anna D , Kemper Kathryn E , Auerbach Judith , Sarkar Urmimala , Gottlieb Laura , Brown III William
Published: June 2023

Background

Electronic health records (EHRs) have yet to fully capture social determinants of health (SDOH) due to challenges such as nonexistent or inconsistent data capture tools across clinics, lack of time, and the burden of extra steps for the clinician. However, patient clinical notes (unstructured data) may be a better source of patient-related SDOH information.

Objective

It is unclear how accurately EHR data reflect patients’ lived experience of SDOH. The manual process of retrieving SDOH information from clinical notes is time-consuming and not feasible. We leveraged two high-throughput tools to identify SDOH mappings to structured and unstructured patient data: PatientExploreR and Electronic Medical Record Search Engine (EMERSE).

Methods

We included adult patients (≥18 years of age) receiving primary care for their diabetes at the University of California, San Francisco (UCSF), from January 1, 2018, to December 31, 2019. We used expert raters to develop a corpus using SDOH in the compendium as a knowledge base as targets for the natural language processing (NLP) text string mapping to find string stems, roots, and syntactic similarities in the clinical notes of patients with diabetes. We applied advanced built-in EMERSE NLP query parsers implemented with JavaCC.

Results

We included 4283 adult patients receiving primary care for diabetes at UCSF. Our study revealed that SDOH may be more significant in the lives of patients with diabetes than is evident from structured data recorded on EHRs. With the application of EMERSE NLP rules, we uncovered additional information from patient clinical notes on problems related to social connectionsisolation, employment, financial insecurity, housing insecurity, food insecurity, education, and stress.

Conclusions

We discovered more patient information related to SDOH in unstructured data than in structured data. The application of this technique and further investment in similar user-friendly tools and infrastructure to extract SDOH information from unstructured data may help to identify the range of social conditions that influence patients’ disease experiences and inform clinical decision-making.
Rebellion or Reconciliation— A Study of Lives of the Saints and The Scarlet Letter
Authors: Yang Honghui , Qin Lin
Published: June 2023

Nino Ricci, a Canadian writer of Italian heritage wrote a trilogy, starting with a book entitled Lives of the Saints (2015), which drew comparisons to Nathaniel Hawthorne’s The Scarlet Letter, prompting scholars to analyze the similarities between the two works. Both the two heroines, Christina in Lives of the Saints and Hester in The Scarlet Letter, engage in extramarital affairs, are pregnant with a baby, challenge the strict social norms of their villages, and are isolated from the community. Although Lives of the Saints is regarded as “Canadian The Scarlet Letter” [1], few scholars have compared the two novels with proofs and details. In particular, apart from the massive resemblances, the differences between the two novels have been neglected by most researchers. This paper aims to analyze the two novels from the process and results of the two heroines’ rebellion, comparing their silence and argument, reconciliation and rebellion, return and departure, and attempting to find the reasons behind those differences.
The Impact of Sex Hormones on Cognition and Treatment: A Review
Authors: K. Gonnabathula Pavani , A. Yakubu Momoh
Published: June 2023

Hormones serves as natural chemical triggers that regulate various processes within the human body, including growth, emotional states, and cognitive processing. Extensive research has been conducted to explore the correlation between hormonal effects and cognitive function; these studies have examined a variety of factors such as aging, pregnancy, post-natal states, emotions, and stress. This article focuses on the impact of hormonal changes on neuronal networks and the mechanisms underlying cognitive function. Hormones possess the ability to influence multiple processes in the human body, including emotions and cognition. The effects of hormones on cognitive function vary depending on the specific hormone involved. Furthermore, hormone levels that are too low or too high can lead to both positive and negative outcomes. Therefore, understanding the influence of sex hormones on cognition is a valuable endeavor.
Review on Multiple Cancer Disease Prediction And Identification using Machine Learning Techniques
Authors: Jakkanwar Bhushan S.
Published: June 2023

Abstract: Cancer has been described as a diverse illness with a wide range of subgroups. Early cancer diagnosis and prognosis are essential for clinical patient treatment, which has become a requirement in cancer research. Numerous research teams from the biomedical and bioinformatics fields have studied the use of machine learning (ML) techniques due to the significance of categorising cancer patients into high or low risk groups. These methods have been applied in an effort to simulate the development and management of malignant diseases. Additionally, the importance of ML tools is demonstrated by their capacity to recognise important elements in complex datasets. Artificial Neural Networks (ANNs), Bayesian Networks (BNs), Support Vector Machines (SVMs), and Decision Trees (DTs) are a few of the methods that have been widely used in cancer research to construct prediction models that enable precise and effective decision-making. Although it is clear that applying ML techniques can enhance our comprehension of how cancer progresses, more validation is required before these techniques can be used in routine clinical practise. Advance ML techniques are used in this work to mimic the detection of cancer in numerous human bodily organs, including the brain, breast, and lung.
Plant Leaf Disease Detection and Classification Based on Convolutional Neural Network
Authors: Swetha B.
Published: June 2023

Abstract: A strong pillar of the Indian economy is agricultural productivity, making the contributions of both food crops and cash crops crucial for the well-being of both the environment and human beings. Unfortunately, every year, crops fall victim to numerous diseases, resulting in substantial losses. The inadequate identification and lack of knowledge regarding disease symptoms and treatment lead to the demise of many plants. This study offers valuable insights into the detection of plant diseases by utilizing the CNN algorithm. A novel approach based on CNN is proposed for the detection of plant diseases. The study involves conducting simulations and analyzing sample images to assess factors such as time complexity and the extent of the infected region. The technique involves utilizing image processing to recognize the leaf and subsequently identifying and classifying the infected area.
Thin Layer Chromatographic Analysis of Flavonoid in Mulberry Leaf Extract
Authors: Yadav Sonali
Published: June 2023

Abstract: Morus alba L., also known as white mulberry, has long been used in traditional medicine to treat a variety of health conditions. The leaves of the plant are rich in polyphenols such as quercetin 3-(- malonylglucoside), rutin, isoquercitin, and cyaniding-3-rutinoside apigenin, luteolin, caffeic acid, gallic acid and umbelliferone, chlorogenic acid, kaempferol, and flavonoids. In the present study, qualitative tests of leaf extracts showed significant indication of the presence of Flavonoids were found to be present in the leaf extracts, with a maximum concentration by using methanol and ethanol solvents. Using thin layer chromatography (TLC) profiling of plant extracts gives an impressive result that directing towards the existence of phytoconstituents. In addition, the alcoholic extracts for mulberry leaves contain a higher content of bioactive compounds, which can be used for further researches on this plant.
Use of Plastic Waste as Partial Replacement of Bitumen for Repairing Potholes in Bituminous Pavement
Authors: Hirekhan Mr. Abhay G.
Published: June 2023

Abstract: The goal of this project is to see if plastic waste can be used to partially replace bitumen in the repair of potholes in bituminous pavement. The project's goal is to find out if using plastic waste improves bitumen's mechanical properties and whether it can be used as a sustainable alternative to traditional road construction materials. The review explores the mechanical properties of bitumen blended in with different rates of plastic waste, and the exhibition of the subsequent combination in fixing potholes. The findings indicate that plastic waste can be utilized as a partial substitute for bitumen, enhancing the bituminous pavement's durability, strength, and permeability. Bitumen made from plastic waste has the potential to cut down on pollution in the environment and make road construction and maintenance last longer. The project involves testing the performance of the bitumen-plastic waste mixture in repairing potholes and carrying out experiments to ascertain the mechanical properties of the mixture. The project is expected to shed light on the possibility of using plastic waste as a sustainable alternative to bitumen for road construction and maintenance to help the construction industry develop more environmentally friendly and sustainable practices.
Development and Validation by UV Spectrophotometric Method for Simultaneous Estimation of Gliclazide and Quercetin in Formulation
Authors: Dmello Malissa
Published: June 2023

Abstract: A simple, quick, accurate, precise, and cost-effective spectrophotometric approach for simultaneous estimation of Gliclazide and Quercetin has been developed by Simultaneous equation method. Gliclazide and Quercetin shows absorbance maximum at 226 and 255 nm respectively, as a result absorbance was measured at these wavelengths for the estimation of Gliclazide and Quercetin. In concentration ranges from 2-18 g/ml, and 2-22 g/ml for Gliclazide and Quercetin respectively followed Beer-Lambert's law. The method has been developed and validated in accordance with ICH recommendations and can be used for estimation of Gliclazide and Quercetin in formulations.
Comparative Analysis of Algorithms for Mining Frequent Patterns
Authors: Priya A. Selva
Published: June 2023

Abstract: In the computerized world, everything is moving online, and data comes in different shapes and sizes and is collected in different ways. By using data mining, frequent pattern in the databases can be identified, and it can be used in numerous applications. Finding frequent patterns in huge databases is important because it reveals important information that cannot be found through simple data surfing. To find common patterns, a variety of methods are utilized, each of which performs differently. Apriori and FP Growth are the fundamental algorithms employed in frequent pattern mining. The functioning and experimental results of various algorithms are compared in this study, and their benefits and drawbacks are discussed.
Image Caption Generator Using Attention Based Neural Networks
Authors: Mahendiran Ashwini
Published: June 2023

Abstract: Image caption generation is a method used to create sentences that describe the scene depicted in a given image. The process includes identifying objects within the image, carrying out various operations, and identifying the most important features of the image. Once the system has identified this information, it generates the most relevant and concise description of the image, which is both grammatically and semantically correct. With the progress in deep-learning techniques, algorithms are able to generate text in the form of natural sentences that can effectively describe an image. However, replicating the natural human ability to comprehend image content and produce descriptive text is a difficult task for machines. The uses of image captioning are vast and of great significance, as it involves creating succinct captions utilizing a variety of techniques such as Natural Language Processing (NLP), Computer Vision(CV), and Deep Learning (DL) techniques. The current study presents a system that employs an attention mechanism, in addition to an encoder and a decoder, to generate captions. It utilizes a pretrained CNN, Inception V3, to extract features from the image and a RNN, GRU, to produce a relevant caption. The attention mechanism used in this model is Bahdanau attention, and the Flickr-8Kdataset is utilized for training the model. The results demonstrate the model's capability to understand images and generate text in a reasonable manner.
A Literature Review on Fabrication of Portable Spot Welding Machine
Authors: Ingle A. H.
Published: June 2023

Abstract: Welding is a process of joining similar metals by the application of heat. Welding can be done with or without the application of pressure. While welding, the edges of metal pieces are either melted or brought to plastic condition. Welding can be done with the addition of filler materials or without it welding is used for making permanent joints. It is used in the manufacture of automobile bodies, aircraft frames, railways wagons, machine frames, structural work, tanks, furniture, boilers, general repair work and ship building. At most in all metal working industries welding is used. In this project we are making portable spot welding machine , which will be easy carry and will be used in many filed.
Seismic Performance of RC Structure by considering Different Orientation and Classes of Building: A Review
Authors: Das Mr. Raj Kumar , Denge Prof. Sanjay
Published: June 2023

Abstract: In the framework of this project, an attempt was made to find out the influence of the shape, size and direction of the rectangular columns of the construction plan on the general stiffness and seismic response of the building suffering from the earthquake. A multistory RC building is modeled using ETABS software with different column shapes (square and rectangular), column sizes (different cross-sectional area at building height), and column orientations to determine the effect of each on the stiffness and seismic response of the building. . . The analytical results of each model were compared in terms of base movement, overburden displacement, layer deflection and time period.
High Gain Modified Based on Switched Inductor
Authors: Meera Akshaya
Published: June 2023

Abstract: The proposed work represents the Modified boost converter is able to regulate the output voltage and the choice of second inductor can give its current as positive and whereas for boost increases in the voltage will not able to regulate the output voltage. It has low semiconductor device voltage stress and switch usage factor is high. A power with 125 W is developed with a 20V input voltage and yields 222 V output voltage and the outcomes are approved through recreation utilizing
Economic Evaluation of Traffic Congestion & Design of Traffic Signal with Simulation at Ottapalam
Authors: M Arjun K , T Nandha Krishna P , K Aleena Jesrin , P Akhil , P Malavika I
Published: June 2023

Abstract: Traffic congestion is the most outstanding performance of the negative externalities of urban road traffic, which is characterized by the negative effects of time delay, energy waste, air pollution and many other impacts. It affects people’s daily life and could cause stress other than time and monetary loss. Traffic congestion causes negative impacts to transport sector and cause a massive increase in the transportation cost. Time is a precious commodity that we all have an equal amount of, and it is something that should not be wasted. A lot of our time is being wasted due to traffic congestion. Therefore, the study of impact of delay at important and busy road stretches in monetary terms is important. This study evaluates the traffic congestion cost at Ottapalam city which prevail heterogeneous traffic conditions. Congestion cost estimations are done by considering the factors including delay, traffic volume, passenger occupancy, and value of travel time of different vehicle types. The results obtained indicated that there was a considerable monetary loss due to traffic delay in the form of opportunity costs. So, there was a need to reduce this monetary loss by bringing suitable measures. The traffic condition of the selected road is found out using simulation by PTV Vissim software after implementing a traffic signal at a busy intersection between the road stretch. The reduction in traffic congestion shows the rightful implementation of the traffic signal.
Peran Mediasi Internal Fraud Terhadap Kinerja Perbankan
Authors: Rohemah Riskiyatur , Prasetyono  , Yuliana Rita
Published: June 2023

Purpose: This study aims to determine the direct effect of Good Corporate Governance (GCG) and Risk Management on banking performance, as well as to analyze fraud in mediating the relationship between Good Corporate Governance (GCG) and Risk Management in improving banking performance.
Methodology/approach: The method used in this study is a quantitative method using path analysis. The number of samples in this study were 43 conventional banks and 10 Islamic banks. The total sample of 53 banks in the 2016-2020 period is 265 data.
Findings: The results of the study show that Good Corporate Governance and Risk Management have an indirect effect on banking performance through fraud. Through this research, the role of GCG and risk management becomes important in improving performance, although not directly.
Practical implications: The findings show that although GCG and risk management can improve performance, they have not been able to reduce fraud. So this should be considered properly by the company.
Originality/value: The large number of studies on GCG and Risk Management on fraud and performance with inconsistent results indicates that this research can still be explored further. Therefore, this research will fill in the gaps in GCG and risk management research by making fraud a mediating variable.
Mengapa Perusahaan Manufaktur Di Indonesia Melakukan Keputusan Hedging?
Authors: Arinal Mirdha  , Muhammad Arfan  , Indayani
Published: June 2023

Purpose: This study aims to examine the factors that influence manufacturing companies in Indonesia to make hedging decisions
Methodology/approach: The study selected 179 companies as the population and 124 companies as a sample. The analysis unit used is a manufacturing company listed on the Indonesia Stock Exchange for the 2018-2020 observation year, so that the observation unit amounted to 372 observations. The study sample was selected using a simple random sampling technique. The source of this research data is secondary data obtained from the publication of the company's annual financial statements and analyzed using logistic regression.
Findings: The results showed that growth opportunities and financial leverage are factors that motivate company managers to make hedging decisions, while likiudity is a factor that mitigates managers to make hedging decisions. On the other hand, cash flow volatility is a factor that is unable to explain hedging decisions.
Practical implications: Practical implications in this study suggest that when making hedging decisions, manufacturing company managers should consider factors that influence hedging decisions, namely growth opportunities, financial leverage, and liquidity. Additionally, investors and creditors should also take into account variables or factors that influence manager decisions on hedging before deciding to invest or provide loans.
Originality/value: This study used simple random sampling techniques in determining research samples, in contrast to previous studies that used purposive sampling techniques. This aims to overcome the weaknesses of purposive sampling techniques that are not able to generalize results of study to the entire population.