bluuebunny/crossref_metadata_2025_split huggingface dataset:
Graph-Based Keyphrase Extraction for Software Traceability in Source Code and Documentation Mapping
Authors: Swapnil Shinde, Vishnu Suryawanshi, Varsha Jadhav Nakul Sharma, Mandar Diwakar, 
Published: December 2023

Natural Language Processing (NLP) forms the basis of several computational tasks. However, when applied to the software system’s, NLP provides several irrelevant features and the noise gets mixed up while extracting features. As the scale of software system’s increases, different metrics are needed to assess these systems. Diagrammatic and visual representation of the SE projects code forms an essential component of Source Code Analysis (SCA). These SE projects cannot be analyzed by traditional source code analysis methods nor can they be analyzed by traditional diagrammatic representation. Hence, there is a need to modify the traditional approaches in lieu of changing environments to reduce learning gap for the developers and traceability engineers. The traditional approaches fall short in addressing specific metrics in terms of document similarity and graph dependency approaches. In terms of source code analysis, the graph dependency graph can be used for finding the relevant key-terms and keyphrases as they occur not just intra-document but also inter-document. In this work, a similarity measure based on context is proposed which can be employed to find a traceability link between the source code metrics and API documents present in a package. Probabilistic graph-based keyphrase extraction approach is used for searching across the different project files.
A Business Intelligence Expert System for Predicting Market Price in Stock Trading using Data Analysis: Deep Learning Model With Feature Selection Mechanism
Authors: K. Sujith D. Syinthiya, 
Published: December 2023

Because of the availability of data and reasonable processing capability, business intelligence methods are rapidly being used in finance, such as managing assets, trading using algorithms, credit financing, and blockchain-based financing. Machine learning (ML) algorithms use enormous amounts of data to automatically understand and enhance predictability and performance via knowledge and data without being programmed by someone. Due to the stock data’s dynamic, high-noise, non-parametric, non-linear, and chaotic qualities, the stock market prediction has been a challenge and has received much interest from scholars over the last decade. Some studies seek a method for accurately predicting stock prices; however, due to the high correlation between stock prices, stock market analysis is more complex. So, this paper proposes an improved stock price prediction (SPP) model using a novel optimal parameter tuned with cross entropy included bidirectional long short-term memory (OPCBLSTM) with efficient feature extraction and selection schemes. It starts with missing values imputation, and data standardization on the collected dataset. From the preprocessed dataset, the features are extracted using modified rectifier linear unit activation based residual network (MRResNet50). Then the optimal features are selected using the improved whale optimization algorithm (IWOA). Finally, the SPP is done using the OPCBLSTM. The experimental results proved that the proposed method achieves more high-level outcomes than the traditional methods.
Work-Related Musculoskeletal Disorder an Increasing Concern in Garment Industry
Authors: Resham Sah  , Rishab Chakraborty  , Pratiti Ghosh  , Jagannath Ghosh  , Prasun Haldar  
Published: December 2023

Background: Musculoskeletal Disorders (MSDs)-related occupational health concerns are becoming a growing problem for the clothing industry, which is influenced by the repetitive tasks, prolonged static postures and poor ergonomic conditions that characterise the nature of work in this industry. This study aims to provide a thorough assessment of the numerous musculoskeletal problems that are prevalent in the garment industry and to recommend useful intervention strategies to mitigate their consequences. Methods: One hundred thirty textile workers aged between 25 to 45 years were taken randomly from five different textile manufacturing sites of Baranagar, West Bengal. A modified Nordic musculoskeletal questionnaire was applied to evaluate the postural stress of the garment’s workers. The discomfort/pain intensity in different body parts were evaluated by Body Part Discomfort (BPD) scale . Appropriate statistical tests were applied. Results: Discomfort or pain in hip and lower back were found to be maximum among workers. Conclusion: Pain, discomfort and postural stress among various body parts like upper back, lower back and hip are verry much common for the workers. Despite efforts to deal with these problems, more thorough research and efficient intervention strategies are required to reduce musculoskeletal ailments in the garment industry..
A study on high sensitive C-Reactive protein as a diagnostic marker in preschool asthmatics
Authors: Murmu Mangal Charan , Majhi Subas Chandra , Nayak Himansu , Kiro Sameer , Das Swagat , Meher Shitanshu Kumar , Panda Sanjukta 
Published: December 2023

: Childhood asthma has a hazardous impact on the growth, social & emotional aspect of the life thereby affecting the quality of life. Hence, early diagnosis & identification of symptoms can help prevent the co-morbidities. High sensitive C-Reactive protein (hsCRP) a known marker of systemic inflammation is evaluated in the current study as a marker of asthma in the preschool children.To evaluate the efficacy of serum hsCRP as a diagnostic marker & to find out the correlation of serum hsCRP level among the different grades of severity of asthma in pre-school children.A cross-sectional analytical study was designed with 811 samples equally divided between the case & health matched control groups.GINA-2018 definition was used to recruit subjects & classify the severity. One time serum hsCRP was estimated in the subjects among both the cases & controls, & correlated with other variables in the study.A total of 811 participants were included in the final analysis with 402participants in asthmatics category & 409 participants in healthy children category. Out of the 402 asthmatics,362 (90.05%) subjects tested to be positive(higher than 3mg/L) & only 40 subjects (9.95%) were negative. Similarly out of 409 healthy subjects, only 36 (8.8%) were positive while majority i.e. 373(91.2%) were found to be negative. The test was evaluated to be having a sensitivity of 90.05%, specificity of93.32% with a diagnostic accuracy of 91.66%. The diagnostic accuracy of hsCRP in severe asthma was 63%, & the specificity was 58%, whereas in case of mild asthma it was79% & 73% respectively with statistical significance. hsCRP is a reliable diagnostic marker in preschool asthmatics to besides clinical correlates.
Mycological profile of subcutaneous skin biopsy samples in suspected subcutaneous mycosis, Are we missing some fungi? A tertiary care hospital based study
Authors: Rishi Saqib , Farooq Shaika , Farooq Tabinda 
Published: December 2023

Subcutaneous mycosis includes a heterogeneous group of fungal infections that develop at the site of transcutaneous trauma. A rise in surviving population of individuals with co-morbidities together with lapses in infection control practices especially in rural India has led to emergence of myriad species of fungi causing such infections in recent years. This poses a diagnostic challenge to the clinicians. We therefore felt a need to study the mycological profile of subcutaneous tissue biopsies suspected of fungal etiology in our hospital setup. This was a Retrospective cross-sectional observational study conducted for a period of 4 years from Jan 2015 to Jan 2019 in the Department of microbiology, Government medical College Srinagar. A total of 148 specimens of subcutaneous tissue biopsies of patients suspected of localized fungal Infection were processed by microscopy and culture for fungi. Among a total of 148 subcutaneous tissue biopsy samples 76 (51%) were positive for fungi on KOH and culture. Mycological profile revealed that majority of fungi were Dermatophytes (n=22; 29%) and Yeasts (n=21; 28%). Third most common causative fungi isolated were Chromoblastomycetes (n=8; 11%), Phaeohyphomycetes (n=8;11%) and Aspergilli (n=8;11 %) comprising, A.fumigatus (n=11) and A.terreus (n=03), followed by Hyalohypomycetes (n=4;5%), sporotrichosis (n=3;4%) and Zygomycetes (n=4 ;5.3%). : Dermatophytes and yeasts are emerging subcutaneous fungal infections. Active surveillance for all types of fungal infections should be done at all levels to address knowledge gaps that exist in etiology, pathogenesis and manifestations of fungal diseases of skin and subcutaneous tissue.
Anthropometric study of the bicipital groove in Kolkata based population and its clinical implication
Authors: Sengupta Oyndrila , Chaudhuri Srijit Narayan , Paul Mithu , Halder Subhajit 
Published: December 2023

The knowledge of the humeral morphology is an important tool in determination of the prosthetic size, its positioning and also its design. Reconstructive surgery of upper end of humerus requires measurement of intertubercular sulcus. In this descriptive and cross sectional study it was attempt to study the clinical correlation of length, depth and width of the bicipital groove with antero-posterior and transverse diameters of surgical neck of the dry humeri, for their use in the betterment of human humeral prosthesis. The study was conducted on 100 adult dry intact human humerii collected from different medical colleges of Kolkata in the department of Anatomy, Calcutta National Medical College, Kolkata. This study analysis was done in SPSS 23 Software. Independent sample-‘t’ test was used for statistical analysis. P-value &#60;0.05 was considered to be significant. The difference of anthropometric dimensions of left humeral bicipital groove are more significant as compared to right. There is strong statistical correlation between length of Bicipital Groove vs Total Length of Humerus, Width of Bicipital Groove vs. Transverse Diameter at surgical neck To conclude, with minor differences from previous similar studies the present study is noteworthy in the field of prosthetic limb manufacture.
To determine the various causes of thrombocytopenia and its clinical correlation with bleeding in children and adolescents
Authors: Mishra Gyanesh , Dwivedi Rinu 
Published: December 2023

Thrombocytopenia refers to a reduction in platelet count below 1,50,000/cumm. It is the most common cause of defective primary hemostasis that can lead to significant bleeding in children. It was a retrospective observational study conducted in a tertiary care hospital in Bhilai, chattisgarh between Augusts to December 2021. Data collection was done from Sept 2018-Sept 2019. The aim of present study was to determine the various causes of thrombocytopenia in children and adolescents and to correlate its severity with etiology and risk of bleeding. Total 112 patients were included from age group 1y-18 yrs. Out of total 112 patients 59 were males and 53 were females. 27 patients were 1-5 years of age, 30 patients were 6-12 years of age and55 were 13-18 years. The mean platelet count in my study was 68,340/cumm with a minimum of 4000/cumm. Bleeding was present in total 19 (16.9%) patients. The main bleeding manifestations were petechie or purpurae, epistaxis, ecchymosis, gastrointestinal bleed and others. Severity of thrombocytopenia correlates significantly with risk of bleeding (The p-value is 0.001**). The most common cause of thrombocytopenia in 69 patients with fever were infective and 43 patients without fever it was vitamin b12 deficiency. Severity of thrombocytopenia (p=0.0528) and bleeding (p=0.121) in patients with fever and without fever was not significant. Thrombocytopenia in pediatric and adolescent children is caused by both infective and non infective illness. It mainly presents with cutaneous bleeds and mucosal bleeds. Severity of thrombocytopenia is significantly correlated with bleeding.
Prevalence of thrombocytopenia among Indian patients who are on chemotherapeutic drugs in five cities of India: A cross sectional descriptive study
Authors: Verma Mahendra Kumar , Malik Parmila , Khattri Jyotsana , VG Veeresh , Khajuria Atul , Singh Lalit 
Published: December 2023

Chemotherapeutic drugs are chemical drugs used in management of cancer, these drugs are chemotoxic and has varied number of adverse effects. Thrombocytopenia is one such adverse effect, thrombocytopenia is the condition in which the platelets counts are less than few lakhs and cause the symptoms of the bleeding. The present study desiged to find the prevalence of thrombocytopenia among Indians who are on chemotherapeutic drugs.: a descriptive cross section survey design used to identify the prevalence rate of thrombocytopenia among patients who are on chemotherapeutic drugs in India the cities studied are Lucknow 268 patients, Panipath 357 patients, Sonipath 384 patients, Gohana 291 patients, Delhi 445 patients, a total 1745 patients were under chemotherapeutic drugs of which 281 patients developed thrombocytopenia, in the samples collected analyzed at various selected diagnostic centers.: The present study found that in Lucknow for 268 patients on chemotherapy 37 patients samples developed thrombocytopenia, Panipath for 357 patients on chemotherapy 76 patients samples developed thrombocytopenia, Sonipath for 384 patients on chemotherapy 68 patients samples developed thrombocytopenia, Gohana for 291 patients on chemotherapy 32 patients samples developed thrombocytopenia and in Delhi for 445 patients on chemotherapy 68 patients samples developed thrombocytopenia respectively. The overall prevalence of thrombocytopenia among patients who are on chemotherapeutic drugs is 16.01%. chemo drugs are vital in management of cancer conditions, these drugs are best currently known in reducing or killing the cancer cells, however they also carry a bag of adverse effects which hampers the wellbeing of patients hence, the knowledge and prevalence rate of thrombocytopenia in patients under chemotherapy plays a vital role in primordial prevention and better management of thrombocytopenia in its occurrence.
Evaluation of neutrophil to lymphocyte ratio (NLR) and platelet to lymphocyte ratio (PLR) as inflammatory markers in patients with type 2 diabetes mellitus
Authors: Pandit Vidyanand , Sharma Dharmveer , Jain Vivek Kumar , Tyagi Shashsank 
Published: December 2023

Diabetes Mellitus (DM), chronic metabolic disease and its complications are diabetic nephropathy, retinopathy, and neuropathy. Systemic inflammation play a significant role and could lead to insulin resistance. This study aimed to investigate NLR and PLR in T2DM patients in comparison with healthy controls. This prospective study, conducted in SRVS Government Medical College, Shivpuri, Madhya Pradesh, India. In this study, a total of 220 subjects were involved, among them 110 were T2DM patients were cases and 110 healthy subjects were controls. Demographic details, physical and clinical examination were done for all the study subjects. Under aseptic conditions, five ml of fasting venous blood sample was collected and aliquoted into plain (3ml) and EDTA (2 ml) tubes and allowed to clot and centrifuged at 3000 rpm for 10 minutes. The obtained serum sample was used for the estimation of fasting and post-prandial glucose, renal profile, lipid profile using commercially available autoanalyzer kits. Whole blood sample was used for the Complete Blood Count (CBC) in EDTA vials. Neutrophil to Lymphocyte Ratio (NLR) and Platelet to Lymphocyte (PLR) were calculated. Whole blood sample was used for the estimation of HbA1c and BMI was calculated.The variables were represented in Mean±SD. Categorical variables were represented in percentage. Spearman’s correlation was applied. The p value &#60;0.05 considered as significant.In the current study, mean age 60.2±4.2 yrs, BMI 27.1±2.4 (kg/m), Systolic blood pressure 132.1±12.3 mmHg, Diastolic blood pressure 90.2±10.5 mmHg, fasting blood sugar (FBS) 169.7±19.3 mg/dl, Post-Prandial blood sugar 238.1±39.5 mg/dl, HbA1c 7.9±0.8 %, Serum Urea 36.1±7.1 mg/dl, Creatinine 1.0±0.3 mg/dl, UA 6.5±2.3 mg/dl, Serum Total Cholesterol 241.1±30.5 mg/dl, Serum Triglycerides 170.0±16.2 mg/dl, Serum low density lipoprotein cholesterol (LDLC) 176.4±35.2 mg/dl, Serum very low density lipoprotein cholesterol (VLDL) 34.1±3.2 mg/dl, Lymphocytes 17.2±4.1 %, NLR 6.7±2.3 and PLR 19.1±6.9 were significantly increased in Type 2 Diabetes Mellitus (T2DM) cases whereas high low density lipoprotein cholesterol (HDLC) 30.7±3.9 mg/dl was significantly decreased in T2DM cases.The present study results may conclude that increased NLR and PLR may be used as a markers for inflammation in T2DM. These may serve as an alternative to the other costly inflammatory markers.
Forecasting of neonatal mortality trend at a special new-born care unit in Odisha, India: A time-series analysis
Authors: Biswal Ramesh Kumar , Das Siba Prasad , Mishra Kaushik , Pradhan A 
Published: December 2023

New born mortality is a public health problem in the state of Odisha. Newborn mortality is a dynamic process and variations in mortality are observed temporally and seasonally, and also across health facilities. Prior knowledge of mortality burden can enable health system’s readiness in terms of resources allocation and timely intervention, thereby improving the chances of survival of sick newborns admitted in the hospitals. Hence, this study aimed to examine temporal trends of newborn mortality in a Special Newborn Care Unit of Saheed Laxman Nayak Medical College and Hospital (SLNMCH) in Odisha and forecast a short-term monthly projection.The Box-Jenkins approach was used to fit a seasonal autoregressive integrated moving average (SARIMA) model to the monthly recorded mortality among the hospitalized new borns in the SNCU during 2016-2020. The best-fit model for forecasting was found based on the Akaike Information Criterion.The time-series analysis revealed a modest upward trend in newborn mortality rate among SNCU admitted newborns, with peaks in the late winter and late summer months. The seasonal ARIMA (0,1,1)(1,1,1)12 model offered the best fit for time-series data. This model predicted the monthly percentage of mortality in SNCU admitted newborns in the range of 9% to 35% with respective 95% confidence interval for two years period (2021-2022).SARIMA models are useful for monitoring newborn mortality and provide an estimate of temporal trends and seasonality. The models are helpful for predicting occurrence of mortality in the SNCU of SLNMCH and could be useful for developing early warning systems. It may help in early detection, timely treatment, and prevention of serious complications in admitted sick newborns.
A clinicopathological study of fungal diseases in patients with chronic rhinosinusitis and sinonasal polyposis
Authors: Edward I Mathew Jackson , Sureshkumar S , Pandian D Rajkamal , Ganapathy S 
Published: December 2023

Chronic Rhinosinusitis (CRS) is a ubiquitous medical condition that has both individual and financial impacts, severely affecting the quality of life. A fungus instigated CRS is fungal rhinosinusitis (FRS) is becoming increasingly incident in recent years. However, the lack of knowledge in the etiology, pathogenesis, and natural history of the FRS complicates the disease management plan. : To study the prevalence of Fungal Diseases in all cases of Sinonasal polyposis and chronic rhino-sinusitis admitted for Functional Endoscopic Sinus Surgery: This research focuses on the clinical, microbiological, and radiological analysis of FRS patients for two years. Age, gender, and occupational categorization of FRS patients were done and assessed the risk factors were based on sinus involvements based on radiology and systemic diseases. : The incidence of FRS in 156 patients was higher in males within the age group of 30-40 (28%) and lower economic groups (38%). Symptoms like nasal obstruction (85%) and headache (56%) were predominantly observed. The involvement of multiple sinuses was confirmed through radiology studies. Microbiological tests revealed fungi in 18 samples (11.5%) through direct culture results and potassium hydroxide mount culture study. While Aspergillus genus pre-dominated etiological identification, A. flavus was more common in occurrence (65%), owing to the environment and living conditions that favor the exposure of spores. A recurrence study post-study period came up negative. : A detailed pathophysiological analysis could improve the understanding of the disease prognosis that could avoid developing complications and indiscreet administration of antibiotics, thereby improving the quality of life.
Study of self- stigma and self -esteem in patients with anxiety and depression
Authors: Sachdev Sahiba Deepinder , Gawande Sushil , Faye Abhijeet , Bhave Sudhir , Kirpekar Vivek , Rahul Tadke 
Published: December 2023

: Self -stigma occurs when a person accepts the negative attitude towards them, then internalize and apply belief to themselves. Self-esteem is individual’s subjective evaluation of their own worth. Self-stigma and self-esteem affects a person’s perception about themselves and the society surrounding them which plays an important role in treatment. It is most commonly affected in people diagnosed with psychiatric disorders.The aim was to study self-stigma and self-esteem in patients with anxiety and depression.After permission from Institutional ethics committee, semi-structured proforma, Internalized Stigma of Mental Illness Inventory-9 and Rosenberg’s Self Esteem Scale was used to assess 50 consecutive participants diagnosed with anxiety and depression according to DSM-5 criteria. Participants satisfying the inclusion and exclusion criteria were included in the study. The data collected was tabulated and analysed statistically and results and conclusions were drawn by using chi-square test, a p-value of &#60;0.05 was considered significant.Mean age of participants was 38.88 years with 64% females, majority being married, predominantly from urban background having education of at least secondary school certificate.19 participants were diagnosed with anxiety while 31 had depression.56% of the participants had high self-stigma and 54% participants had low self-esteem. There wasn’t any significant difference in percentages of high self-stigma and low self-esteem when compared between anxiety disorders and in depression. There were no significant socio-demographic or clinical correlates relating to self- stigma and self-esteem according to this study. It was observed that both high self-stigma and low self-esteem was significantly high in psychiatric patients. It was seen that low self- esteem was associated with high self-stigma and high self-esteem was associated with low self-stigma. Hence, steps must be taken to psycho-educate the patient and their family members in order to reduce self-stigma and help in increasing their self-esteem.
Вирішення проблема комунікації в умовах втрати зв'язку до Azure IoT Hub
Authors: Ахаладзе I. , Лісовиченко O. 
Published: December 2023

Об'єктом дослідження є процес передачі інформації між учасниками рою дронів що розширити зону покриття керуючим сигналом, та забезпечити гарантовану передачу інформації що дозволяє зберігати контроль над роєм дронів та безпечно керувати ним. Метою роботи є забезпечення гарантованої передачі інформації на відстань від 5до 10 км. в залежності від технічних можливостей та створення каналу комунікації між членами рою у умовах відсутності зв'язку з хабом. Використавши польотний контролер Pixhawk та інтеграційний модуль передачі прийому даних з підтримкою низько частотного протоколу LoRaWAN вдалося забезпечити надійний контроль у мовах втрати зв'язку з керуючим хабом. Також було визначено логіку присвоєння ролі комунікатора між керуючим хабом та членами рою для збільшення зони покриття керуючого сигналу.
Бібл. 13, рис. 5