bluuebunny/crossref_metadata_2025 huggingface dataset:
RepDwNet: Lightweight Deep Learning Model for Spectral blood Raman spectra classification
Authors: He Jiongheng , Zhou Ri-gui , Ren Pengju , Li Yaochong , Xiong Shengjun
Published: September 2023

The Raman spectroscopy analysis technique has found extensive applications across various disciplines due to its exceptional convenience and efficiency, facilitating the analysis and identification of diverse substances. In recent years, owing to the escalating demand for high-efficiency analytical methods, deep learning models have progressively been introduced into the realm of Raman spectroscopy. However, the application of these models to portable Raman spectrometers has posed a series of challenges due to the computational intensity inherent to deep learning approaches. This research addresses this challenge by introducing a lightweight Raman spectroscopy classification model named RepDwNet. This model not only maintains high accuracy but also exhibits relatively lower computational overhead. Its design integrates advanced techniques, including multi-scale convolutional kernels, depthwise separable convolutions, and residual connections. These modules effectively capture features across varying scales while maximizing the coherence between them.To validate the feasibility and efficacy of the proposed model, a series of experiments were conducted utilizing an augmented Raman spectroscopy dataset from blood samples for species identification tasks. The experimental outcomes demonstrate that the model achieved remarkable accuracy rates of 98.24% and 97.37% on the reflectance and transmittance Raman blood data subsets, respectively. Furthermore, structural reparameterization techniques were employed to compress the model, thereby significantly enhancing inference speed and reducing model parameter size while preserving high classification accuracy. This optimization renders the model more suitable for deployment in portable device scenarios.
Improving Cyberbullying Detection Through Adaptive External Dictionary in Machine Learning
Authors: Qudah Hamzeh , Alhija Mwaffaq Abu , Tarawneh Hassan
Published: September 2023

Cyberbullying has escalated due to social media's rapid growth, endangering internet security. Correct these harmful habits. ML is used to research cyberbullying on Twitter. This model is enhanced with adaptive external dictionary (AED). Terms that are negative and positive are produced manually. The dynamic lists of positive and negative words produced by AED sentiment analysis. The dataset has positive and negative tweet columns. Social media's fast expansion has increased cyberbullying, threatening online safety. Recognizing and addressing these risky activities quickly requires a comprehensive system. Uses ML to detect Twitter cyberbullying (ML). This model detects better using Adaptive External Dictionary.47K Kaggle tweets made the AED. Manual refinement only produces negative and positive phrases in the first portion, relevant to our topic. AED sentiment analysis creates dynamic lists of Positive Words (PW) and Negative Words (NW) in this study. Tweets are columns. Combining internet data with positive and negative word counts identifies cyberbullying.
Design of polarization insensitivity wideband metamaterial absorber using the resistor based square-shaped structure
Authors: Binda Pankaj , Mitharwal Rajendra , Singh Ghanshyam , Singh Ghanshyam
Published: September 2023

In this paper, we have explored a compact wideband metamaterial absorber unit-cell structure comprises four square-shaped conducting patches of copper and connected with four lumped resistors supported by FR-4 as a substate material which followed by conducting ground plain in the microwave (4 GHz to 15GHz) regime of the spectrum. The proposed structure has been analysed and simulated using CST Studio Suite a commercial simulated based on finite integration techniques to yield several performance metrics for comprehensive understanding of broad-spectrum absorbers. The proposed wideband metamaterial absorber is polarization insensitive due to its symmetric structure under a normal incident angle and has potential applications for the radar cross-section (RCS) reduction, target stealth, and electromagnetic wave protection. Further, the proposed structure has been fabricated and tested experimentally, and the achieved results are comparable with that of the simulation results.
Recruitment-To-Inflation Ratio to Assess the Impact of Peep on Dynamic Lung Strain
Authors: Murgolo Francesco , Grieco Domenico Luca , Spadaro Savino , Bartolomeo Nicola , Mussi Rossella Di , Crovace Antonio , Lacitignola Luca , Staffieri Francesco , Grasso Salvatore
Published: September 2023

Background: In ARDS, the beneficial effects of positive end-expiratory pressure (PEEP) on ventilator-induced lung injury (VILI) are proportional to the extent of dynamic lung strain reduction. This depends on the variable recruitment produced by PEEP. Current quantification of alveolar recruitment and PEEP-induced changes in dynamic lung strain relies on computed tomography (CT), which lacks bedside accessibility. The recruitment to-inflation ratio (R/I) is a bedside-available tool proposed to assess recruitability. We performed an experimental study on an animal model of ARDS to establish whether R/I accurately reflects the impact of PEEP on dynamic lung strain assessed through CT.
Methods: Fourteen anesthetized, mechanically ventilated pigs with ARDS (lipopolysaccharide infusion) underwent CT-scans, respiratory mechanics, gas exchange and ventilatory ratio assessment at PEEPLOW (5 cmH2O) and PEEPHIGH (PEEP adjusted to reach a plateau airway pressure of 28-30 cmH2O). CT-scans were analyzed to quantify recruitability (potential for lung recruitment in terms of tissue recruitment) and PEEP-induced dynamic lung strain reduction. R/I was calculated through a one-breath derecruitment maneuver between the two PEEP experimental conditions.
Results: Median R/I was 1.08 [0.88-1.82]. At PEEPHIGH, dynamic lung strain decreased form 0.59 [0.46 - 0.80] to 0.37 [0.29-0.44]: however, the extent of PEEP-induced dynamic strain reduction due to PEEP was highly inter-individually variable, with a coefficient of variation (standard deviation/mean) 69%. The entity of PEEP-induced reduction in dynamic lung strain exhibited a strong correlation with R/I (R2=0.87; p< 0.0001), while it was independent from changes in oxygenation (R2<0.01, p=0.97) and ventilatory ratio (R2<0.01, p>0.99). No correlation was found between R/I and potential for lung tissue recruitment assessed by CT-scan (R2=0.08; p=0.34).
Conclusions: PEEP-induced changes in lung dynamic strain are inter-individually variable. R/I, despite not reflecting the extent of potential for lung tissue recruitment, allows to estimate the amount of PEEP-induced reduction in dynamic lung strain at bedside, proving its useful for setting PEEP to minimize the harmful effects of PEEP during mechanical ventilation.
Fabrication of Quartz Microlenses Using Lasers
Authors: Mahmoud Muaath J. , Rasheed Bassam G.
Published: September 2023

Various types of quartz micro lenses were fabricated by two subsequent stages using two lasers. Fiber laser of 1.06µm was employed for the laser ablation while CO2 laser with 10.6µm was used for direct laser writing. The experimental data demonstrate formation of spherical, cylindrical micro lenses and microlens array with optimum numerical aperture of 0.55. Theoretical calculations and simulation were conducted to estimate the temperature at the quartz surface during the ablation stage and simulation the reshaping stage. Temperature of 2500 K is achieved in ablation stage and 2015 K was established during the reshaping process. The ablation depth is 280 µm, diameter is 150 µm and heat affected zone of approximately 1345 µm after 1 second. Due to the controllable laser micromachining process, optoelectronics and biological imaging are viable applications for microlens arrays.
Effects of Rashba and Dresselhaus spin-orbit couplings on the critical temperature and paramagnetic limiting field of superconductors with broken inversion symmetry
Authors: Yavari H. , Tayebantayeba M.
Published: September 2023

Transition temperature and paramagnetic limiting of a superconductor without spatial inversion symmetry in the presence of both Rashba and Dresselhaus antisymmetric spin-orbit couplings is studied. The critical temperature is derived for anisotropy of the superconducting order parameter, ranging from isotropic s-wave to any pairing state with nonzero angular momentum and mixed parity singlet-triplet states emerge due to spin-orbit coupling (SOC).It will be shown that for unprotected odd parity pairing, pure Rashba and Dresselhaus SOCs have similar effects on the reduction of transition temperature and for combined effects of the two spin-orbit couplings at fixed SOC, transition temperature reduced by increasing Dresselhaus component and decreased down to its minimum value in the equal-Rashba-Dresselhaus case. The paramagnetic limiting is also analyzed for spin-singlet pairing and it is shown that the low temperature divergence behavior of paramagnetic limiting is less affected by both Rashba and Dresselhaus SOCs but for fixed SOC strength by increasing Dresselhaus component the paramagnetic limiting field is increased.
Cotrimoxazole Prophylaxis Therapy Uptake and Reasons for Nonadherence among People Living with HIV in Ayder Comprehensive Specialized Hospital, Tigray, Northern Ethiopia: A Cross-sectional Study
Authors: Teklay Gebrehiwot , Mohammedbrhan Meryem
Published: September 2023

Background:
Cotrimoxazole prophylaxis therapy (CPT) is one of the interventions recommended to be implemented as an integral component of a package of HIV-related services. The effectiveness of CPT in reducing mortalities and morbidities associated with opportunistic infections is well demonstrated. Studies to explore the level of uptake and barriers to cotrimoxazole prophylaxis adherence over a course of ART are necessary. This study aimed to assess the prevalence and reasons for nonadherence to cotrimoxazole prophylaxis therapy among people living with HIV (PLHIV).
Methods:
A health facility-based cross-sectional study was conducted among PLHIV in Ayder Comprehensive Specialized Hospital from April to May 2020. Data were collected through interviews and reviews of medical records. Data were analyzed using SPSS version 20.0 statistical software. Binary logistic regression was used to analyze factors associated with cotrimoxazole prophylaxis therapy nonadherence, and the output of the logistic regression was expressed as odds ratios at 95% confidence intervals. P values of less than 0.05 were considered statistically significant.
Results:
One hundred and seventy-seven participants were included in this study. Nearly half (53.1%) of the participants were female, and the majority (72.9%) were aged between 31 and 59. One hundred sixteen (65.5%) participants were nonadherent to CPT. The main reasons for nonadherence were side effects, pill fatigue and forgetfulness. PLHIV with CD4 counts > 350 were 3.48 times more likely to interrupt CPT by themselves than those with CD4 counts ≤ 350 (P value = 0.002; AOR, 3.481; 95% CI, 1.555–7.792). PLHIV who were adherent to ART were 72.1% less likely to be nonadherent to CPT compared with those who were nonadherent to ART (P value = 0.001; AOR, 0.279; 95% CI, 0.128–0.608). PLHIV who experienced side effects were 3.85 times more likely to be nonadherent to CPT than those who did not experience side effects (P value = 0.001; AOR, 3.849; 95% CI, 1.789–8.284).
Conclusions:
Significant numbers of PLHIV were nonadherent to CPT mainly due to side effects, pill fatigue and forgetfulness. Strategies to improve adherence to CPT should focus on the combined patient- and medication-related problems of PLHIV.
Island Blue Spaces: A Deeper Exploration
Authors: Kras Nicole , Keenan Jennifer
Published: August 2023

Preliminary research has shown that blue spaces provide many benefits to health and well-being. In response to the call for a deeper investigation into this area of inquiry, the current study seeks input from those (N=37) who live on islands in the Northeast region of the United States. Previous findings about the significance of having access to nature, identifying it as a favorite part and most influential reason for living on an island, were reaffirmed. Distinctions between island and mainland life were highlighted, emphasizing the importance of community. This study also brought to light participants’ grave concerns about issues such as housing costs, overdevelopment of the island, and the impact of tourism, providing a multifaceted view of life in an island blue space. It is hoped that these findings contribute to a deeper understanding of living in a blue space that can be applied to both island and non-island populations.
Workplace agility, intrinsic motivation, and role congruence antecedents of innovative work behavior: Evidence from Saudi Arabian organizations
Authors: Alabood Abdulaziz , Manakkattil Sulphey
Published: August 2023

This study investigates the impact of workplace agility, intrinsic motivation, and role congruence on innovative work behavior in private and public organizations. This empirical study used a quantitative research method and collected data from 358 employees in Saudi Arabian organizations. The data were gathered through a questionnaire distributed to the sample via social media groups. For this purpose, four standardized and validated questionnaires were used to measure the variables of interest. Since all the fit indices have robust fit, the proposed model qualifies for conducting Structural Equation Modeling (SEM). The results revealed a significant positive relationship, at a remarkable 0.01 level, between all the examined variables and innovative work behavior. This suggests that workplace agility, intrinsic motivation, and role congruence are positively associated with employees’ tendency to engage in innovative work behavior. Moreover, the study’s findings supported the hypotheses formulated for the research. All t-values exceeded 1.96, indicating statistical significance for all proposed variables. Theoretically, the study contributes to enhancing the current dynamic knowledge of the variables that influence the work environment. Practically, this study offers guidance to employees on innovative work behavior.
AcknowledgmentThis research is funded by Prince Sattam Bin Abdulaziz University under project numbered PSAU/2023/1444.
Determinants of Antituberculosis Drug Acceptability among Children with Tuberculosis in Osun State Nigeria
Authors: Chijioke-Akaniro Obioma
Published: August 2023

Acceptability of antituberculosis drugs by affected caregivers and children is key to disease elimination. This is affected by many factors including drug, patients, and health institution-related factors. This study aims to assess the influence of the introduction of dispersible formulation on acceptability of antituberculosis drugs. A historical cohort design was used to assess and compare the acceptability of old loose non-dispersible and new dispersible antituberculosis drugs, using a convergent parallel mixed method of data collection. Determinants of tuberculosis drug acceptability were assessed using binary logistic regression. The findings were triangulated with results from the qualitative data. The rate of acceptability of the new dispersible formulation, 112 (88.2%) was significantly higher than the rate of acceptability of old loose non-dispersible drugs, 13 (10.5%), p<0.001. The median age of children with good acceptability, 7.0 (4.0 – 10.0) years was significantly lower than those with poor acceptability, 10.0 (8.0 – 13.0) years, p <0.001. Drug formulation was a significant predictor of acceptability; the fixed-dose dispersible drug had a higher probability of being acceptable relative to lose non-dispersible formulation, (Odd Ratio = 62.3, p <0.001, 95% CI= 25.3 – 153.3). The qualitative data showed that health education about tuberculosis has positive influences on drug acceptability. In conclusion, the formulation of drugs is a key factor in the acceptability of antituberculosis drugs. Hence, there is a need to further promote the recently introduced child-friendly antituberculosis drugs, coupled with strengthening the health education of caregivers to achieve tuberculosis elimination. Keywords: Antituberculosis, Acceptability, Fixed-Dose Combination, Dispersible, Tuberculosis.
A Longitudinal Survey of Job Satisfaction among Pharmaceutical Executives: An Unconditional Latent Growth Curve Study
Authors: Oamen Theophilus Ehidiamen
Published: August 2023

Cross-sectional studies have been done to explore job satisfaction (JS) among pharmaceutical executives. However, limited evidence of increment or decrement in JS is provided in cross-sectional studies. Latent growth curve models provide a computational framework for evaluating changes in perception and behavior using longitudinal data. Drawing from Locke’s theory of satisfaction, the study explored change in the perception of JS among pharmaceutical executives. To the best of the authors’ knowledge, this is the first study to use a longitudinal design to explore the trajectory of change in JS among pharmaceutical marketing executives using unconditional latent growth curve analysis. Data were collected using an online survey questionnaire from a cohort sample of 1,023 pharmaceutical executives over 3 unequal time waves- T1 (406, June 2021) during COVID-19; and post-COVID periods-T2 (401, July 2022); and T3 (216, March 2023) using random sampling. Covariance-based structural equation modeling in EQS 6.4 was used for analysis. The model showed an acceptable fit. The mean score of JS was significant and positive (Intercept factor; M=2.265, p<0.01). The positive linear growth trend in JS was obtained (growth factor increment=4.594, p<0.01) at each time point. Initial satisfaction states of individual executives were not necessarily linked to changes in mean values over time. The study observed that JS has been on a positive growth trajectory since the COVID-19 pandemic. The study indicates improvement in working conditions by employers since the pandemic and/or coping strategies by employees. This study gives a simple guide to performing latent growth analysis in behavioral research. Keywords: Covid-19, Job satisfaction, Latent growth curve, Locke’s theory of satisfaction, Longitudinal study, Pharmaceutical marketing, Structural equation modeling.
Corporate Governance and Corporate Social Responsibility: Good Practices and Prospects
Authors: Ariyo Gracious Kazaara
Published: August 2023

Corporate governance and corporate social responsibility (CSR) are two critical elements of modern business practices that have gained significant attention in recent years. The relationship between these two concepts has become increasingly important as organizations face growing pressure from stakeholders to not only perform economically but also to act in a socially responsible manner. The purpose of this research topic is to explore the good practices and prospects of corporate governance and CSR. The study examined the various approaches and methods used by organizations to ensure effective corporate governance and implement meaningful CSR programs. It also considered the challenges faced by organizations in balancing these two objectives and the role of stakeholders in promoting responsible corporate behavior. The findings of this research provide valuable insights into the current state of corporate governance and CSR and offer recommendations for future improvements and developments in these areas. Keywords: Corporate Governance, Corporate Social Responsibility (CSR), and Good Practices and Prospect.
INVESTIGATION OF PHYSICAL ACTIVITY, SLEEP QUALITY, ANXIETY AND DEPRESSION LEVELS AMONG EXERCISER AND NON-EXERCISER ADULTS IN THE COVID-19 PANDEMIC
Authors: ZENGİN ALPÖZGEN Ayşe , EMİRZA Çiğdem , GÜRDAL KARAKELLE Saliha , ŞENEL Aybike , YASACI Zeynal , ERTAN HARPUTLU Özge
Published: August 2023

Purpose: To assess physical activity (PA), perceived exercise benefits, perceived sleep quality, anxiety and depression levels of adults who exercised and did not exercise during the pandemic.

Methods: 1226 voluntary participants who lived in the community (age range 18-55 years) were included in this cross-sectional study. Demographic information was recorded, and exercise motivators and barriers were evaluated through questions prepared by the researchers. PA levels [International Physical Activity Questionnaire-Short Form (IPAQ-SF)], perception about the benefits of exercise [Exercise Benefits and Barriers Scale-Benefits Subscale (EBBS-BS)], sleep quality [Pittsburgh Sleep Quality Index (PSQI)], and anxiety and depression levels [Hospital Anxiety and Depression Scale (HADS)] were assessed.

Results: There were statistically significant differences in scores of IPAQ-SF, PSQI, EBBS-BS, and HADS between those who did and did not exercise (p
TÜRKİYE’DEKİ FİZYOTERAPİSTLERİN KARDİYOPULMONER RESÜSİTASYON BİLGİ DÜZEYLERİNİN DEĞERLENDİRİLMESİ
Authors: KILIÇ Rabia Tuğba , MEŞE-BURAN Melike , YOSMAOĞLU Hayri Baran
Published: August 2023

Amaç: Bu çalışmanın amacı, Türkiye’de çalışmakta olan fizyoterapistlerin Kardiyopulmoner Resüsitasyon (KPR) hakkındaki bilgi düzeylerini değerlendirmekti.

Yöntem: Ağustos-Ekim 2021 tarihleri arasında yürütülen kesitsel bir araştırmadır. Çalışmaya katılmayı kabul eden 164’ü (%59,63) erkek, 111’i (%40,37) kadın olmak üzere toplam 275 fizyoterapiste online anket formu gönderilerek veriler toplandı. KPR bilgi düzeyini değerlendirmek amacıyla 2010 Amerikan Kalp Cemiyeti (AHA)-ERC KPR kılavuzu rehber alınarak hazırlanan anket toplam 26 sorudan oluşmakta ve kendi kendine uygulanmaktadır. Anketin ilk bölümünde kişisel bilgileri içeren 5 soru (yaş, cinsiyet, çalıştıkları kurum, çalışma süresi vb.); ikinci bölümde KPR eğitimi ve değerinin algılanmasına yönelik 12 soru , üçüncü bölümde ise KPR ile ilgili bilgi düzeylerini ölçmeyi hedefleyen 10 soru yer almaktadır. KPR bilgi puanında 0-5 puan aralığı düşük, 6-10 puan aralığı ise yüksek olarak değerlendirildi.

Sonuçlar: En çok çalışılan kurum hastane (%41,50) ve çalışma alanı ise kas-iskelet sistemi (%37,80) idi. Herhangi bir yerde kardiyak arrest (KA) vakası ile karşılaşanların oranı %28,40 iken çalışma ortamında bu oran %20,70 idi. Katılımcıların çoğu (%67,30) KPR eğitimi almıştı ancak eğitim alanlar KPR uygulama konusunda %59,50’si eğitimi, %71,90’u da kendisini yetersiz buldu. Çalışma alanı, yaş, cinsiyet ve deneyim yılına göre KPR sertifikasına sahip olma durumu ilişkili değildi(p>0,05).Hastanede çalışanların KPR sertifikası sahip olma oranı üniversitede çalışanlara göre daha yüksekti(p=0,014).Teorik KPR bilgi puanı ortalaması 5±0,12 idi, bu sonuç KPR bilgi düzeylerinin düşük olduğunu gösterdi. KPR bilgi puanı; KPR eğitimi alanlarda almayanlara göre, KPR uygulamasında kendini yeterli görenlerde de yeterli görmeyenlere göre daha yüksekti(p=0,001).

Tartışma: Sonuçlarımız fizyoterapistlerin çoğunluğunun, KPR sertifikasının olduğunu fakat KPR sertifikası olanların çoğunluğunun da KPR bilgi düzeylerinin yetersiz olduğunu ve kendilerini bu konuda yetersiz hissettiklerini göstermiştir. KPR uygulamasını daha iyi değerlendirmek isteyen gelecekteki araştırmalar fizyoterapistlerin gerçek KPR yeterliliğini teorik bir değerlendirmeden ziyade uygulamalı yöntemlerle değerlendirmelidir.
THE RELATIONSHIP BETWEEN BURNOUT LEVEL AND HOPELESSNESS, PERCEIVED SOCIAL SUPPORT AND MENTAL WELL-BEING IN PHYSIOTHERAPY AND REHABILITATION SENIOR UNDERGRADUATE STUDENTS
Authors: BİRİNCİ Tansu , BAŞTÜRK Pınar
Published: August 2023

Purpose: This study aimed to investigate the relationship between burnout level and hopelessness, perceived social support, and mental well-being among physiotherapy and rehabilitation senior undergraduate students.

Methods: Three hundred sixty-nine physiotherapy and rehabilitation senior undergraduate students (195 female, mean age: 22.81±3.72 years) were included in the present study. Data were collected using the online survey with a combination of the Maslach Burnout Inventory-Student Survey (MBI-SS), Beck Hopelessness Scale (BHS), Multidimensional Scale of Perceived Social Support (MSPSS), and Warwick-Edinburgh Mental Well-Being Scale (WEMWBS).

Results: There are no gender differences in burnout level and hopelessness level, perceived social support, mental well-being, and sociodemographic characteristics (p>0.05). There were significant relationships between the emotional exhaustion and cynicism subscales of MBI-SS and BHS, MSPSS, and WEMWBS (p
Water-preserved coal mining in water-shortage mining areas: a case study in the Yonglong mining area of China
Authors: Shi Xiuchang , Lyu Guangluo
Published: August 2023

Water-preserved coal mining (WPCM) in water-shortage mining areas is an important aspect of water resources management. This paper aimed at the protection of Cretaceous groundwater resources during the high-intensity mining in the Yonglong mining area, China, and carried out basic theory and practical application of WPCM. The hydrogeological structure and engineering geological characteristics were investigated on-site. On-site detection and numerical simulation were used to study the dynamic evolution laws of overburden failure and water-conducting fractured zone (WCFZ), and the seepage laws of mining-induced overburden were analyzed by the rock triaxial seepage test. The results showed that it was feasible to carry out WPCM in the Yonglong mining area. From the view of reducing the height of WCFZ and preventing water hazards, the technical measures for WPCM were proposed. The research results can provide a theoretical basis and technical approach for WPCM in the water-shortage mining areas.
Mbo’ehára rembiapo para além do alinhamento à lógica do capital
Authors: Siqueira Adriana Oliveira dos Santos , Nunes da Silva José Moisés
Published: August 2023

O objetivo do artigo é analisar a trajetória da formação de professores (mbo’ehára rembiapo) no Brasil, a partir da década de 1990, e refletir sobre o devir de uma formação ampla, no sentido da ruptura com o alinhamento à lógica do capital. A pesquisa tem abordagem qualitativa, mediada pelas pesquisas bibliográfica e documental, e a dialética como referencial de análise. Discutem-se a lógica pragmatista, a perspectiva progressista e o retrocesso na mbo’ehára rembiapo. Os resultados apontam que as diretrizes curriculares nacionais para a mbo’ehára rembiapo foram um avanço à identidade dos cursos de licenciatura; e que é possível uma outra formação, fundada na formação humana integral, para além do alinhamento à lógica do capital.
Traumatic Chylothorax due to Cervical Stab Wound: A Case Report
Authors: Tebar Gabriela Karabachian , de Lima Silva Rafael , Gaspar Thiago , Hernandes Lopes Vitor , de Castro Vinicius Vertematti , da Silva Rodrigues Jose Mauro , Ribeiro Junior Marcelo A. F.
Published: September 2023

Background:

Chylothorax corresponds to the incidence of chyle in the pleural space; it was described for the first time in 1633. Its most common cause is associated with iatrogenic injuries to the thoracic duct; 80% of them take place during surgeries, such as pneumonectomy or esophagectomy.

Case presentation:

A case of an unusual cervical stab wound complication in a 23-year-old man who presented a late large volume chylothorax has been presented and discussed in this paper, as well as its management.

Discussion:

The presented case demonstrates a rare complication after a cervical stab wound. The management of chylothorax can involve non-operative management, non-operative intervention, or operative management depending on the symptoms and duration. Usually, surgical interventions are required after two weeks of clinical treatment. The differential diagnosis in a post-trauma acute onset ventilatory manifestation is mandatory to rule out pulmonary embolism.

Conclusion:

Traumatic chylothorax is a rare event; however, its morbidity and mortality rates can be catastrophic when it is not diagnosed early and when the treatment is not established based on a proper flowchart. Thus, dietary and drug-based clinical measures, interventional radiology, videothoracoscopy, and thoracotomy for thoracic duct ligation are valid therapeutic options for the proper management of these cases.
Chemical Composition, In vitro and In silico Evaluation of Essential Oil
from Ocimum tenuiflorum and Coriandrum sativum Linn for Lung Cancer
Authors: Singh Bhim , Prajapati Kumari Sunita , Kumar Amit , Patel Shivam , Kumar Shashank , Jaitak Vikas
Published: September 2023

Background:

Medicinal plants play an essential role in everyday life; plants highly
contain therapeutic phytoconstituents commonly used to treat various diseases. This paper discusses
the Chemical composition, In vitro antiproliferative activity and In silico study of essential
oil extracted from Ocimum tenuiflorum (family Lamiaceae) and Coriandrum sativum (family
Apiaceae).

Objective:

In present study GC-MS was used to identify the chemical constituents from O. tenuiflorum
and C. sativum. In vitro antiproliferative activity was performed on A549 cancer cell lines.
In silico study was performed by Schrodinger’s maestro software to identify chemical constituents
in both plants as potential EGFR inhibitors for the treatment of lung cancer

Methods:

The essential oil was extracted by hydro distillation from aerial parts of O. tenuiflorum
and C. sativum. The volatile oil sample was analyzed by (GC-MS) Gas Chromatography-
Mass Spectrometry. Different chemical constituents were identified based on the retention index
and compared with the NIST library. The oil samples from O. tenuiflorum and C. sativum was
also evaluated for antiproliferative activity against human lung cancer A549 cell lines. In silico
study was performed by Schrodinger maestro software against EGFR (PDB ID 5HG8).

Resuls:

O. tenuiflorum essential oil contains Eugenol (42.90%), 2-β-Elemene (25.98%), β-
Caryophyllene (19.12%) are the major constituents. On the other side, C. sativum contains nnonadecanol-
1 (16.37%), decanal (12.37%), dodecanal (12.27%), 2-Dodecanal (9.67%), Phytol
(8.81%) as the major constituents. Both the oils have shown in vitro antiproliferative activity
against human lung cancer cell lines A549 having IC50 values of 38.281 μg/ml (O. tenuiflorum)
and 74.536 μg/ml (C. sativum). Molecular interactions of constituents hydro distilled from two
oils was analysed by schrodinger maestro software against EGFR (PDB ID 5HG8).

Conclusion:

The oil sample extracted from O. tenuiflorum showed more antiproliferative activity
than C. sativum. In silico study showed that two chemical constituents, namely di-isobutyl
phthalate (-7.542 kcal/mol) and dibutyl phthalate (-7.181 kcal/mol) from O. tenuiflorum and one
diethyl phthalate (-7.224 kcal/mol) from C. sativum having more docking score than standard
Osimertinib which indicates the effectiveness of oils for lung cancer.
QSAR Research of Novel Tetrandrine Derivatives against Human Hepatocellular
Carcinoma
Authors: Wang Meng , Qiu Bin , Wang Wenhui , Li Xiang , Huo Huixia
Published: September 2023

Background:

The new tetrandrine derivative is an anti-human liver cancer cell inhibitor which can be used
to design and develop anti-human-liver-cancer drugs.

Objective:

A quantitative structure-activity relationship (QSAR) model was established to predict the physical properties
of new tetrandrine derivatives using their chemical structures.

Methods:

The best descriptors were selected through CODESSA software to build a multiple linear regression model.
Then, gene expression programming (GEP) was used to establish a nonlinear quantitative QSAR model with descriptors
to predict the activity of a series of novel tetrandrine chemotherapy drugs. The best active compound 31 was
subjected to molecular docking experiments through SYBYL software with a small fragment of the protein receptor
(PDB ID:2J6M).

Results:

Four descriptors were selected to build a multiple linear regression model with correlation coefficients R2,
R2CV and S2 with the values of 0.8352, 0.7806 and 0.0119, respectively. The training and test sets with a correlation
coefficient of 0.85 and 0.83 were obtained via an automatic problem-solving program (APS) using the four selected
operators as parameters, with a mean error of 1.49 and 1.08. Compound 31 had a good docking ability with an overall
score of 5.8892, a collision rate of -2.8004 and an extreme value of 0.9836.

Conclusion:

The computer-constructed drug molecular model reveals the factors affecting the activity of human hepatocellular
carcinoma cells, which provides directions and guidance for the development of highly effective anti-humanhepatocellular-
carcinoma drugs in the future.
An Overview of the Therapeutic Efficacy of (-)-Epicatechin in the
Management of Diabetes Mellitus
Authors: Dash Jyoshna R , Pattnaik Gurudutta , Ghosh Goutam , Rath Goutam , Kar Biswakanth
Published: September 2023

Background and Aims:

Diabetes mellitus is a chronic metabolic disorder affecting global
public health. Since ancient, natural-based compounds are widely used for multiple indications of diabetes.

Methods:

The natural-based (-)-Epicatechin has enormous biological functions including antioxidant and
anti-inflammatory activities. This review mainly focuses on the importance of epicatechin in the control
of pathogenesis involved in diabetic mellitus. Additionally, its possible mechanisms involved in beta cell
regeneration, insulin secretion, and insulin sensitivity.

Results:

The present article explored the potential antioxidant, mitochondrial protection, and antiinflammatory
properties using the preclinical and clinical model, and also established the role of (-)-
Epicatechin in the mitigation of diabetic-associated complications.
Lastly, the article mentioned the limitation of the use of epicatechin.

Conclusion:

This will provide new insight to budding scientists for the development of novel bioactivebased
pharmaceuticals for the management of diabetic mellitus.
Nanoemulsion of Ethanolic Extract of Centella asiatica (NanoSECA)
Ameliorates Learning and Memory Performance by Enhancing
Cholinergic Activities, Increasing Antioxidative Levels, and Attenuating
Oxidative Stress Markers in Adult Rats
Authors: Jusril Nor Atiqah , Mukhtar Shahida Muhammad , Abu Bakar Syahrul Imran , Md Saad Wan Mazlina , Wen Ng Kwok , Adenan Mohd Ilham
Published: September 2023

Background:

Centella asiatica (C. asiatica) has long been traditionally used as a memory
enhancer. Nanoemulsion of ethanolic extract C. asiatica (NanoSECA) has been developed to improve
brain functions. However, the effect of NanoSECA on enhancing memory and cognitive functions remains
unexplored.

Objectives:

This research aimed to investigate the potential of NanoSECA on cognitive tasks and
memory enhancement pathways in a normal adult rat model.

Methods:

Thirty male Sprague Dawley rats (7-8 weeks old) were randomly subjected to five groups
(n=six per group). Treatment groups were supplemented with NanoSECA and ethanolic extract of C.
asiatica (SECA) for 28 days by oral gavages. Different brain sections were isolated, homogenized, and
tested for acetylcholinesterase, antioxidants (glutathione and malondialdehyde), and anti-inflammatory
agents (nitric oxide, tumour necrosis factor-α, and prostaglandin E2).

Results:

NanoSECA supplementation markedly enhanced the acetylcholine, glutathione levels and reduced
a distinct diminution in plasma activities of acetylcholinesterase, malondialdehyde, nitric oxide,
prostaglandin E, and tumor necrosis factor-α levels.

Conclusion:

NanoSECA can be used as a memory enhancer through enhanced cholinergic activity, increased
antioxidant level, and reduced oxidative stress.
Ionic Conductivity, Dielectric, and Structural Insights of Deep Eutectic
Solvent-based Polymer Electrolyte: A Review
Authors: Shaharuddin N.A.A. , Abidin S.Z.Z.
Published: September 2023

The exponential concern about environmental concerns has heavily driven the development of green technology. In light of these needs, Deep Eutectic Solvent (DES) emerged as a green solvent and additive due to its minimal toxicity and volatility, biodegradability, biocompatibility, simplicity of synthesis, high yields and purity, and the availability of its precursors. This review is intended to summarise and discuss polymer electrolytes based on DES for better insight into the potential of replacing conventional organic solvents or ionic liquids for energy storage applications in the aspect of their electrical and structural properties. Therefore, an examination of dielectric studies is conducted as they hold significance in establishing a correlation between the rise in ionic conductivity and the augmentation of freely movable ions, thereby highlighting the importance of investigating the dielectric properties of an electrolyte. Besides, XRD and morphological studies in this work can show how ionic conductivities can influence the size of pores in DES-based polymer electrolytes.
Facile Synthesis of Dysprosium Oxide/Bismuth Oxide Nanocomposite Electrode Materials with Good Electrocatalytic Performance
Authors: Sun Zizhan , Wang Xiaoyu , Cong Qianmin , Feng Chenxu , Zhang Xu , Cai Zhengyu , Zhang Yong , Pei Lizhai
Published: September 2023

Background:

Benzoic acid is widely applied in the food field, including beverages
as the antimicrobial preservative due to its strong inhabitation role to bacteria
and yeasts. However, excessive intake of benzoic acid can easily cause abdominal pain
and diarrhea and can even result in metabolic diseases. Hence, it is important to seek
simple, accurate and sensitive strategies to detect low-trace benzoic acid.

Objective:

The aim of this study is to synthesize dysprosium oxide/bismuth oxide nanocomposites
using dysprosium sulphate and sodium bismuthate as the raw materials and
research the electrochemical sensing properties for the detection of benzoic acid.

Methods:

Dysprosium oxide/bismuth oxide nanocomposites were synthesized by a facile
hydrothermal route. The dysprosium oxide/bismuth oxide nanocomposites were
characterized by X-ray diffraction, electron microscopy, X-ray photoelectron spectroscopy
and electrochemical impedance spectroscopy.

Results:

The dysprosium oxide/bismuth oxide nanocomposites are composed of nearly
circular-shaped particles with polycrystalline cubic Dy2O3 and triclinic Bi2O3 phases.
The size of the nearly circular-shaped particles is about 50 to 200 nm. The electrons are
easier to transfer by the dysprosium oxide/bismuth oxide nanocomposite-modified electrode
than the bare electrode. A pair of quasi-reversible cyclic voltammetry (CV) peaks
located at -0.155 V and -0.582 V exist in the CV curve of 0.1 M KCl buffer solution
containing 2 mM benzoic acid. The nanocomposite-modified electrode shows a linear
detection range and detection limit of 0.001-2 mM and 0.18 μM, respectively, for benzoic
acid detection.

Conclusion:

The dysprosium oxide/bismuth oxide nanocomposite-modified electrode
reveals superior electro-catalytic activity towards benzoic acid.
Thinking Tool Based HCI
Authors: Singh Kaswan Kuldeep , Baliyan Anupam , Dhatterwal Jagjit Singh , Kaiwartya Om Prakash
Published: September 2023

This chapter provides methods to systematically and efficiently examine
massive complex systems to describe the conduct of a realistic CRT exercise in larger
companies. Situations are explored to capture complicated probable futures, and
suggestions for creating CRT exercises are provided. Complexity is organizations. As a
result, a part discusses the intricacy of the interactions and interconnection between the
four fields: physical, technological, cognitive, and social. This debate introduces two
approaches to managing this degree of complexity. One of the offered approaches has
been intended to separate this complexity into chunks in which huge organizations can
generate impacts. This chapter presents the different operations that can be conducted
on networks in which it is possible to capture a complex system such as a social system
in a network form.
Electronic Automation of Smart Computing
Authors: Singh Kaswan Kuldeep , Baliyan Anupam , Dhatterwal Jagjit Singh , Kaiwartya Om Prakash
Published: September 2023

Automation is not a new phenomenon, and it automates the mechanization
that helps us learn, develop, decide and act in a context, like a human being in the new
paradigm change as a result of emerging technologies. Recent improvements in
processing capacity, historical data availability, low-cost sensors, and systems for
transmitting high-speed data give rise to the possibility of imitating and automating a
mature human brain function. Businesses increasingly rely on software robot systems
that mimic how people perform a repetitive activity and eliminate the need for human
involvement. However, these systems cannot judge or learn from past actions and
consequences, thus confining the automation process to basic repeating process
automation. Integrating cognitive characteristics in robotic software systems, which
makes the business digital, can address this challenge. This chapter discusses the
developments and the problems faced in using cognitive systems, architecture,
applications, and cognitive models for electronics manufacturing. This chapter also
discusses the cognitive computing principle to improve the knowledge base and the
dependencies between these components.
HCI: An Intelligent Learning Environment
Authors: Singh Kaswan Kuldeep , Baliyan Anupam , Dhatterwal Jagjit Singh , Kaiwartya Om Prakash
Published: September 2023

Society has evolved quickly, and individuals are continually forced to
acquire new abilities viatraining. This means that education/training resources are
substantially restricted; therefore, methods must be developed to tackle this problem.
Intelligent Tutoring Systems (ITS) deployment is being proposed as a solution to
address this problem. In addition, ITS makes it possible for users to learn and improve
their abilities in a particular area. ITS adopts user actions and requirements in a non-intrusive and transparent manner to achieve this aim. The tastes and habits of the users
must be known to deliver a tailored and adaptable solution. Therefore, the capacity to
learn behavioural patterns becomes a crucial component for an ITS to succeed. In this
article, we offer an ITS student model, which monitors the biometric conduct and style
of the user throughout e-learning activities. A classification model supervises the
student’s work throughout this session. This chapter also emphasises the principles of
intelligent learning differences for each activity. Information extraction techniques can
automatically extract knowledge from the text by converting unstructured text into
relational structures. To achieve this aim, traditional information extraction systems
must rely on significant human involvement.
Addressing idle and waiting time in short term production planning
Authors: Pastore E.
Published: August 2023

Abstract. Production systems are facing the increase of economic and sustainability challenges in managing production resources, demand variability and variety, and the increasing shortage of materials. Thus, short-term production planning must include several aspects and consider multiple objective functions simultaneously. In this context, controlling and optimizing waiting and idle times might lead to various benefits, as they are among the main cost sources in production systems and can affect the feasibility of operations from a technological perspective. While waiting time is related to the work in process, idle time refers to a low utilization rate, and both may generate inefficiency and costs. This paper studies how different emphasis to waiting and/or idle time can affect the solution of short-term production planning with several industrially relevant objectives.
Modelos híbridos SARIMA-ANN para pronósticos de la COVID-19 en el Perú
Authors: Ordoñez Mercado Alipio Francisco
Published: September 2023

Se ha construido modelos híbridos ANN-ARIMA por remodelamiento, para realizar los pronósticos de los nuevos casos de contagios por Covid-19 en el Perú, para ello se extrajo y uso los casos confirmados de Covid-19 entre el periodo 06/03/20 hasta el 28/02/21, desde la plataforma de los datos abiertos del Ministerio de Salud. Los resultados hallados indican que los 02 mejores modelos corresponden al modelo hibrido multiplicativo NNAR (27,1,6) * ARIMA(3,0,2)(1,0,1), y al modelo hibrido aditivo NNAR (27,1,6) + ARIMA(1,0,1), cuyos valores del error medio absoluto porcentual(MAPE) se diferencian en tan solo el 0.575% por lo que proporcionan casi los mismos pronósticos. Considerando el promedio de los valores del MAPE para los 03 mejores modelos de cada categoría de modelamiento se ha determinado que los modelos híbridos NNAR-ARIMA son mejores que los modelos híbridos MLP-ARIMA, que modelos híbridos aditivos NNAR+ARIMA tienen una superioridad del 1.20% sobre los modelos híbridos multiplicativos NNAR*ARIMA; mientras que la superioridad del modelo hibrido aditivo MLP+ARIMA sobre el modelo hibrido multiplicativo MLP*ARIMA alcanza al 2.31%.
CELDAS SOLARES DE PELÍCULAS DELGADAS EN BASE A ÓXIDOS SEMICONDUCTORES: Ti3O5, Bi2O0
Authors: Rodríguez Sandro , Gutiérrez Rivera Luis , Castillo Ocaña Guido , Maldonado Cesar , Valera Palacios Aníbal
Published: September 2023

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EVALUACIÓN EXPERIMENTAL DE UN REFRIGERADOR POR ADSORCIÓN
Authors: Ramos Chaya R. Miguel , Horn Manfred
Published: September 2023

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PREDICCIÓN Y ANÁLISIS DE LOS PRODUCTOS DE LA COMBUSTIÓN EN UN MOTOR DE ENCENDIDO POR CHISPA MEDIANTE LA MODELACIÓN MATEMÁTICA
Authors: Lira Cacho Guillermo , Vásquez Santa Cruz Héctor
Published: September 2023

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IMPLEMENTATION OF SERVO SYSTEM FOR CONTROLLING A DOUBLE PURPOSE NONLINEAR PLANT: INVERTED PENDULUM AND CRANE
Authors: Rojas Moreno Arturo , Merchán Gordillo Fernando , Gushiken-Gibu Leonardo D.
Published: September 2023

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MODELO MATEMÁTICO PARA LA DETERMINACIÓN DEL NIVEL DE ENDEUDAMIENTO QUE DEBE TENER UN A EMPRESA EN EL MEDIANO Y LARGO PLAZO"
Authors: Leyton Díaz Victor
Published: September 2023

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PHOTOCURRENT SPECTROSCOPY APPLIED TO SEMICONDUCTOR THIN FILMS:CDS
Authors: Azuero Pedro , Castillo Ocaña Guido , Valera Palacios Aníbal
Published: September 2023

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UN MODELO ESTADÍSTICO PARA PRUEBAS DE PRODUCTO EN EL CONTEXTO DE LA LEY DE CONGRUENCIA, PRIMICIA Y PERSISTENCIA EN LA TEORÍA DE LA ELECCIÓN DEL COMSUMIDOR
Authors: Huamanchumo de la Cuba Luis
Published: September 2023

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CARACTERIZACIÓN DE Fe Y Al EN FRACCIONES FINAS DE SUELOS USANDO TÉCNICAS DE DISOLUCIÓN SELECTIVA, DIFRACCIÓN DE RAYOS-X Y ESPECTROSCOPÍA MÖSSBAUER
Authors: Acebal Silvia , Saragovi Cecilia , Pecrick C. Susana
Published: September 2023

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PROTOTIPO DE MICROBACTERÍAS RECARGABLES DE IONES DE LITIO TOTALMENTE SÓLIDAS BASADAS EN PELÍCULAS DELGADAS PRODUCIDAS POR TÉCNICAS DE ALTO VACÍO
Authors: Ponce Bertha , Talledo Coronado Arturo
Published: September 2023

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