bluuebunny/crossref_metadata_2025 huggingface dataset:
A Cadaveric Study of the Rotator Cable: Interrogating the Suspension Bridge Model
Authors: Kanne Timothy , Lusk John , Clark Cassidy , Jones Cody , Kanne Leanna , Cawley Daniel
Published: March 2024

Purpose: The objective of this cadaveric study was to study the anatomic relationships between the rotator cuff muscles and the rotator cable.
Methods: In 30 formaldehyde-fixed shoulders from 20 cadavers, the rotator cuff and rotator cable were dissected and the glenohumeral joint opened. The orientation and attachments of the rotator cable to the rotator cuff muscles were studied and the severity of any osteoarthritis, labral pathology, and rotator cuff pathology present was documented. The width and thickness of the infraspinatus attachments to the rotator cable were measured.
Results: The infraspinatus muscle was noted to be more loosely adherent to the rotator cable, while the supraspinatus and teres minor were tightly adherent to the cable. Specifically, the superior-most portion of the infraspinatus was found to be less tightly adherent than the inferior-most portion in 26 of the 30 shoulders studied. There was a correlation between increased thickness of the inferior-most portion of infraspinatus and more-than-minimal osteoarthritis and labral pathology (p=0.0477, p=0.0409, respectively).
Conclusions: While the supraspinatus and teres minor muscles were tightly adherent to the cable in all shoulders, the degree of attachment of the superior-most portion of the infraspinatus muscle was notably less in 26 of the 30 shoulders studied. This could mean that only the inferior portion of the infraspinatus participates in stress shielding through the cable or be a compensatory response to increased load on the tendon. This work is expected to provide insight into the function of the rotator cable and the different functions of the infraspinatus.
High responsivity all-fiber-integrated perovskite photodetector based on FA0.4MA0.6PbI3
Authors: Zhang YuChen , Liu Jie , Ma Chenghong , Fan Yanqi , Miao Yinping , Li Xiaolan
Published: March 2024

Perovskite exhibits advantages including tunable bandgap, high absorbance and self-assembly, making it potential for high-performance photodetection. In this study, we report an all-fiber-integrated photodetector (AFPD) based on FA0.4MA0.6PbI3 perovskite. The thickness of photodetector’s active layer is designed based on the thin-film waveguide mechanism to optimize device’s responsivity. Theoretical analysis and simulation results indicate the presence of a strong mode field in the active layer meeting the resonance thickness condition, which exhibits the potential to enhance material’s light absorption efficiency and improve device’s responsivity even in a thinned film. Metal-Semiconductor-Metal (MSM) photodetector based on FA0.4MA0.6PbI3 is directly deposited onto a side-polished multimode fiber (SP-MMF). Light transmitted in fiber leaks from core to the MSM photodetector through the polished surface of SP-MMF, inducing a detection response. Experimental results demonstrate that the device achieves a responsivity of 3.2 A/W to 650 nm light, with both rising and falling edges of the response time reaching 8ms. The proposed AFPD exhibits advantages including high responsivity, short response time, low insertion loss and all-fiber integration, providing a reliable solution for the development of high performance AFPD.
The Impact of University based Science Workshops on UAE School Students’ Perceptions of Science Study and Careers
Authors: Dickson Martina , McMinn Melissa , Bradley Curtis , Grenon Muriel
Published: March 2024

As the United Arab Emirates (UAE) transitions from a country with a primary dependence on fossil fuel revenue to one driven by a knowledge-based economy, it is becoming increasingly important to have national representation in key employment sectors, one of which is STEM. In order for this to become a reality, representation of Emirati STEM students in higher education is critical. In this research study, Emirati high-school students took part in university-based workshops led by undergraduate science degree students, also Emirati. In order to explore their views on the experience, and investigate whether this impacted on their views about studying science, science careers, and themselves as future scientists, we collected qualitative focus group interview data from 56 students and quantitative survey questionnaire data from 203 students in this mixed methods study. Key findings were that participating in the workshops within the university setting (and away from the school setting) were instrumental to their impact, and that being taught by trainers of their own culture and nationality was powerful enough to make some students consider studying science at university. The findings of the study have implications for universities and schools in terms of effective intervention planning and recruitment design to increase interest in science or science-related degrees.
Response of gut microbiota, antioxidation, and disease resistance to pacific shrimp fed distiller's dried grains with solubles replaced soybean meal
Authors: Yohana Mpwaga Alatwinusa , RAY Gyan Watson , Yang Qihui , Shiyu Kou , Tan Beiping , Wu Jiahua , Mao Minling , GE Zhan bo , Feng Lan
Published: March 2024

This experiment aimed to examine the potential of distillers dried grains soluble (DDGS) meal as a substitute for soybean meal (SBM) in the Pacific shrimp diet. The study aimed to investigate how DDGS affected disease resistance, antoxidation, and gut microbiota. 840 shrimp were given varied diets with varying concentrations of DDGS. D1 (0%), D2 2%, D3 4%, D4 6%, D5 8%, D6 10%, and D7 12% were the DDGS levels. Each group had three replicates of the 56-day experiment. Initially, the weight was 0.19 ± 0.00 g. The survival rate was consistently 100% for shrimp-fed DDGS, except for group 7 (14%) and the control group, where shrimp mortality was observed. The total protein (TP) content was improved as the inclusion level of DDGS increased. The glucose (GLU) exhibited a downward trend with higher DDGS inclusion. Similarly, the TG and CHO levels in the serum decreased as the DDGS levels increased. The activities of ALT (alanine transaminase) and AST (aspartate aminotransferase) decreased as the dietary DDGS increased, with the control group showing significantly higher ALT and AST activities than those fed DDGS diets (P < 0.05). Furthermore, the SOD (superoxide dismutase) activity significantly increased with higher DDGS levels, while the MDA (malondialdehyde) activity showed the opposite trend. Notably, the control exhibited the highest MDA activity value. The most prevalent phylu found in the gut microbiota were Proteobacteria, and Bacteroidetes. Upon completion of a 7-day bacteria challenge, it was observed that shrimp fed with the control diet had a lower mortality rate compared to those fed the DDGS diet. Based on the parameters measured in this study, it was determined that replacing 10% of SBM with DDGS in the feed of Pacific shrimp is feasible.
BMI Variability and Cardiovascular Outcomes Within Clinical Trial and Real-World Environments in Type 2 Diabetes: An IMI2 SOPHIA study
Authors: Massey Robert J , Chen Yu , Panova-Noeva Marina , Mattheus Michaela , Siddiqui Moneeza K , Schloot Nanette C , Ceriello Antonio , Pearson Ewan R , Dawed Adem Yusef
Published: March 2024

Background:
BMI variability has been associated with increased cardiovascular disease risk in individuals with type 2 diabetes, however comparison between clinical studies and real-world observational evidence has been lacking. Furthermore, it is not known whether BMI variability has an effect independent of HbA1c variability.
Methods:
We investigated the association between BMI variability and 3P-MACE risk in the Harmony Outcomes trial (n = 9198), and further analysed placebo arms of REWIND (n = 4440) and EMPA-REG OUTCOME (n = 2333) trials, followed by real-world data from the Tayside Bioresource (n = 6980) using Cox regression modelling. BMI variability was determined using average successive variability (ASV), with first major adverse cardiovascular event of non-fatal stroke, non-fatal myocardial infarction, and cardiovascular death (3P-MACE) as the primary outcome.
Results:
After adjusting for cardiovascular risk factors, a + 1 SD increase in BMI variability was associated with increased 3P-MACE risk in Harmony Outcomes (HR 1.12, 95% CI 1.08–1.17, P < 0.001). The most variable quartile of participants experienced an 87% higher risk of 3P-MACE (P < 0.001) relative to the least variable. Similar associations were found in REWIND and Tayside Bioresource. Further analyses in the EMPA-REG OUTCOME trial did not replicate this association. BMI variability's impact on 3P-MACE risk was independent of HbA1c variability.
Conclusions:
In individuals with type 2 diabetes, increased BMI variability was found to be an independent risk factor for 3P-MACE across cardiovascular outcome trials and real-world datasets. Future research should attempt to establish a causal relationship between BMI variability and cardiovascular outcomes.
Silent Bite: Capnocytophaga meningitis with bilateral sensorineural hearing loss in splenectomized patient
Authors: Pulido Sonia , Kishore Mehwish , Pappas Konstantinos , Rosenbaum Kaylee M.
Published: March 2024

Splenectomized patients are at increased risk for infection with encapsulated bacteria including Capnocytophaga canimorsus found in canine oral flora. We report the clinical course, diagnostic workup, and treatment outcome of an asplenic woman who developed meningitis with bilateral sensorineural hearing loss after a dog bite. To limit the significant morbidity and mortality associated with this bacterium, it is imperative that providers consider Capnocytophaga canimorsus as the cause of infection and for the immunocompromised and symptomatic patient to seek prompt medical attention in the context of canine exposure.
Underwater Image Object Detection based on Multi-scale Feature Fusion
Authors: Yang Chao , Zhang Ce , Jiang Longyu , Zhang Xinwen
Published: March 2024

Underwater object detection and classification technology is one of the most important ways for humans to explore the oceans. However, existing methods are still insufficient in terms of accuracy and speed, and have poor detection performance for small objects such as fish. In this paper, we propose a multi-scale aggregation enhanced (MAE-FPN) object detection method based on the feature pyramid network, including the multi-scale convolutional calibration module (MCCM) and the feature calibration distribution module (FCDM). First, we design the MCCM module, which can adaptively extract feature information from objects at different scales. Then, we built the FCDM structure to make the multi-scale information fusion more appropriate and to alleviate the problem of missing features from small objects. Finally, we construct the Fish Segmentation and Detection (FSD) dataset by fusing multiple data augmentation methods, which enriches the data resources for underwater object detection and solves the problem of limited training resources for deep learning. We conduct experiments on FSD and public datasets, and the results show that the proposed MAE-FPN network significantly improves the detection performance of underwater objects, especially small objects.
IRTKS Contributes to the Malignant Progression of Cervical Cancer Cells
Authors: Zhang Yan , Yi Faping , Zhang Xiaoxuan , Song Jing , Cai Jing , Lai Jiayi , Song Fangzhou
Published: March 2024

Background
Cervical cancer (CC), one of the most aggressive tumors in women, has high risk rates of recurrence and metastasis. It is essential to study the key genes and proteins involved in CC development. IRTKS, a member of the IRSp53 family, has been reported as a tumor promoter in gastric and breast cancers. However, the biological significance of IRTKS in CC is still unclear. The purpose of this study was to explore the biological function of IRTKS in CC cells in vitro, and the effect of IRTKS on tumorigenesis in vivo.
Materials and Methods
Siha and Hela cells were treated with si-RNA and plasmids. Cell proliferation and motility were analyzed using proliferation and transwell assays, respectively. The expression of EMT-related proteins was determined by western blot.
Results
IRTKS was highly expressed in CC. IRTKS contributes to the proliferation of CC cells in vitro and in vivo. Furthermore, IRTKS facilitated the migration and invasion of CC cells and modulated epithelial-mesenchymal transition.
Conclusion
IRTKS plays a crucial role in CC tumorigenesis, suggesting it can be a potential key gene in new therapeutic strategies for CC.
Temporally Enhanced Graph Convolutional Network for Hand Tracking from an Egocentric Camera
Authors: Cho Woojin , Ha Taewook , Jeon Ikbeom , Jeon Jinwoo , Kim Taekyun , Woo Woontack
Published: March 2024

We propose a robust 3D hand tracking system in various hand action environments, including hand-object interaction, which utilizes a single color image and a previous pose prediction as input. We observe that existing methods deterministically exploit temporal information in motion space, failing to address realistic diverse hand motions. Also, prior methods paid less attention to efficiency as well as robust performance, i.e., the balance issues between time and accuracy. The Temporally Enhanced Graph Convolutional Network (TE-GCN) utilizes a 2-stage framework to encode temporal information adaptively. The system establishes balance by adopting an adaptive GCN, which effectively learns the spatial dependency between hand mesh vertices. Furthermore, the system leverages the previous prediction by estimating the relevance across image features through the attention mechanism. The proposed method achieves state-of-the-art balanced performance on challenging benchmarks and demonstrates robust results on various hand motions in real scenes. Moreover, the hand tracking system is integrated into a recent HMD with an off-loading framework, achieving a real-time framerate while maintaining high performance. Our study improves the usability of a high-performance hand-tracking method, which can be generalized to other algorithms and contributes to the usage of HMD in everyday life. Our code with the HMD project will be available at https://github.com/UVR-WJCHO/TEGCN_on_Hololens2
Comparing E-Learning and In- Person Teaching Methods for the course “Clinical Aspects of Audiology” for Syrian Post-Graduate Audiology Students
Authors: Mehrez Rodaina , Badour Adnan , Dashash Mayssoon
Published: March 2024

Objective
This study aims to compare the effectiveness of traditional learning with e-learning in terms of student acceptance of the scientific material, as well as their practical and clinical experiences.
Methods
In the academic year 2019/ 2020, traditional learning was applied to teach 31 first- year audiology master's students on the topic of clinical aspects of audiology. Subsequently, in the academic year 2020/2021, e-learning was applied to teach 29 first- year audiology master's students. A comparison was conducted between the two groups to assess student acceptance of the scientific material, their satisfaction with the teaching and evaluation methods, and the practical and clinical experiences they gained.
Results
There was no statistically significant difference observed between the two groups regarding student acceptance of the subject, teaching methods ,and evaluation process. However, students in the e-learning group reported feeling more comfortable dealing with the subject compared to those in the traditional learning group. Additionally, traditional learning students exhibited higher level of motivation in comparisons to their learning counterparts.
No statistically significant difference was found in terms of theoretical knowledge and practical experience gained between the two groups.
Conclusion
Both traditional learning and e-learning methods demonstrated efficacy in delivering scientific material, and were well- received by students.
Development of Polymer-Based Hemp and Colemanite Composite as a Friction Material
Authors: KARAKAS Hamdi , Oktem HASAN , Uygur Ilyas
Published: March 2024

Natural and organic-based composite materials are widely used in many industrial applications due to their low cost, easy recyclability, economic feasibility, and ready availability. In this study, a polymer-based composite friction material consisting of Hemp-Colemanite composition (HCFCo) has been developed for the automotive sector to exhibit lower cost, environmentally friendly characteristics, and suitable friction-wear behaviors. For this purpose, three different ratios (%4, %8 and %12) of HCFCo composites were produced using a coating technique called impregnation process with a specially designed device. During the production stage, homogeneity of the composites was ensured, and then the final shape was given by the hot pressing method. Properties such as hardness, density, water and oil absorption, friction coefficient, and specific wear of HCFCo samples were examined. In addition, the microstructures of HCFCo composites were investigated to determine the bonding form between hemp fiber and colemanite. The results obtained revealed that the friction coefficient values decreased with an increase in temperature, while no significant change was observed in hardness and density values. Throughout the entire testing process, the friction coefficients varied between 0.14 and 0.29 on average. It was concluded that the developed fiber-reinforced composite can be reliably used in industrial applications and can contribute significantly to innovations in the literature.
Factors Influencing Adherence to Tumor Treating Fields in Glioblastoma Patients: A Study from China
Authors: An Zhenxia , Tian Shuangshuang , Chen Fan , Guan Pei , Xu Jing , Ma Linlei , Zhao Binfang , Wang Liang
Published: March 2024

Purpose
Tumor treating fields (TTFields) are a type of non-invasive therapy approved for patients with glioblastoma (GBM), showing promising efficacy in both newly diagnosed and recurrent GBM. However, clinical data on the adherence and influencing factors of TTFields in China are scarce. Therefore, the present study analyzed patients’ adherence data to identify the current status of treatment adherence and its influencing factors.
Methods
A total of 94 GBM patients who received TTFields in our center were enrolled from September 2020 to December 2022. Patient demographic variables were collected, including age, gender, education, allergies, comorbidities, and other relevant details. Additionally, the incidence of dermatologic adverse events (dAEs), Karnofsky performance status, hospital anxiety and depression scale, the family concern index questionnaire, and treatment adherence were assessed at 3 and 6 months. Univariate and multivariate statistical techniques were applied to analyze factors influencing treatment adherence.
Results
Patients were followed up at 3 and 6 months during TTFields treatment, with follow-up rates of 93.62% and 86.17%, respectively. Statistically significant differences in full adherence were observed between 1-3- and 4-6-month periods (27.27% vs 41.98%, p = 0.044). Multivariate logistic regression analysis demonstrated that dAEs and depression were independent predictors of adherence in the 1-3-month period. Age, dAEs, and family function were independent predictors of adherence in the 4-6-month period.
Conclusion
Adherence to TTFields is critical for the prognosis of GBM patients. The study findings demonstrated that patient adherence is influenced by various factors such as age, dAEs, depression, and family function. Thus, implementing targeted interventions tailored to patients’ needs at different stages can enhance treatment adherence.
Evaluation of confectionary sunflower germplasm accessions and their derived hybrids
Authors: Latif Abdul , Rauf Saeed , Nazish Maham , Ortiz Rodomiro
Published: March 2024

Confectionary sunflower has gained popularity due to its utilization in roasting as snacks, poultry, bird food, and bakery products. However, seed quality of confectionary sunflower differs from non-oil seed types. In the present study, 71 sunflower accessions were selected for the evaluation of seed quality traits. Significant genetic variability was observed for traits such as 100-seed mass and seed length, as indicated by high genotypic coefficients of variability. Correlation analysis revealed a positive correlation between 100-seed mass and seed size, protein content, and oleic acid content. Path coefficient analysis suggested that accessions with high sugar content may be selected to develop superior germplasm for confectionary products. Biplot analysis was conducted to identify suitable accessions with favorable confectionary traits. Accessions ‘Hybrid 100’, ‘GOR101’, and ‘Odesskijj112’ exhibited high sugar content, while ‘Yawn’ demonstrated comparatively higher oleic acid content. Accessions ‘Vinimik 6931’ and ‘HA 305’ displayed high 100-seed mass, while seed length was greater in accessions ‘Comet’ and H. × multiflorous. Combining ability analysis were performed to assess the breeding value of accessions. ‘Comet’ exhibited the highest general combining ability (GCA) effects for seed yield per plant, head diameter and 100-seed mass; while ‘G.OR.104’ had positive GCA for seed yield per plant but negative combining ability for other traits. ‘Tenissiei’ displayed positive GCA for all traits. Among the testers, accession ‘Universal’ showed positive GCA for seed yield per plant, while ‘HA-292’ exhibited positive GCA for head diameter.
Functional improvements in β-conglycinin by preparing bioconjugates with carboxymethyl cellulose
Authors: Hataishi Yui , Tanaka Aya , Ishizuka Misaki , Mizobuchi Hibine , Yoshida Tadashi , Hattori Makoto
Published: March 2024

β-Conglycinin was conjugated with carboxymethyl cellulose (CMC) by using water-soluble carbodiimide to improve its function. Two kinds of CMC differing in average molecular weight (about 1 kDa and 90 kDa) were used to investigate the relationship between molecular weight of conjugated saccharide and saccharide content in the conjugates and degree of functional changes in β-conglycinin. The β-conglycinin-CMC conjugates were purified by dialysis using a dialysis membrane whose molecular weight cutoff is 100 kDa. Composition of the β-conglycinin-low molecular weight (LMW) CMC and β-conglycinin-high molecular weight (HMW) CMC was β-conglycinin:CMC = 1:3.3 and 1:2.1 (weight ratio) respectively which was confirmed by BCA method and phenol sulfuric acid method. Conjugation was confirmed by SDS-PAGE with CBB. Solubility of β-conglycinin in the range of pH4.0-7.0 was much improved by conjugation with both LMW and HMW CMC. Emulsifying property of β-conglycinin at pH5.0 and pH7.0 was much improved by conjugation with HMW CMC and greater improvement was achieved by conjugation with LMW CMC. Immunogenicity of β-conglycinin was decreased by conjugation with LMW CMC.
Electrical muscular stimulation on shoulder instability: is it beneficial?
Authors: Eldaly Sameh , Abdelhady Adham
Published: March 2024

Objective:
The aim of the study to collect relevant studies that examined the effects of Electrical Muscular Stimulation (EMS) on Shoulder Instability.
Background:
The Shoulder instability is described as emerging when there are indications of shoulder laxity. The most common cause of primary shoulder dislocation in athletes is glenohumeral subluxation and dislocation. Roughly ninety-five percent of the first cases of shoulder dislocation result from an abrupt twisting motion, a forceful blow, or landing on an outstretched arm.
Methods:
The review was carried out by searching scientifically recognized medical databases, including PubMed, Scopus, Pedro Database, ICTRP Database and WILEY Online Library. Date restrictions were not applied.
Results:
The studies that were included demonstrated that patients with Functional Posterior Shoulder Instability who received NMES-enhanced physical therapy had a significantly better main outcome. At the 3-month follow-up, the frequency of instability episodes improved significantly in the NMES-enhanced physical therapy group, and shoulder subluxation was significantly lower in position-triggered ES than in passive ES.
Conclusion:
The posterior shoulder instability was significantly and clinically alleviated by electrical muscle stimulation. On the other hand, position-triggered electrical stimulation (ES) might be more effective than passive ES for treating poststroke shoulder subluxation.
A Garland of Melodies: Reimagining Ragamalas through the Collection of Salar Jung Museum, Hyderabad
Authors:   Salar Jung Museum, Hyderabad, Ministry of Culture, Govt. of India, Ghosh Soma
Published: March 2024

This article is about understanding and reimagining a special category of miniature painting called ‘Ragamala’ painting. It is a special genre of Indian painting. It is the pictorial representation of an Indian musical mode or melody which is called a ‘raga’. The Indian ‘ragas’ as musical modes convey a certain ‘bhava’, an emotion or mood. This has been visualised in Ragamala paintings which translates as ’garland of ragas’ or a string of musical modes or melodies. The Indian Schools of painting have produced several paintings sets of the ragas; including ‘raginis’ which are supposed to be the wives/females of the Indian male ragas. The paintings are varied and represent the mood it is supposed to depict as per the raga or ragini and are thus a symphony of colour and sound. Tracing the history of this category of painting from India the many examples in this article from the collection of the Salar Jung Museum, Hyderabad, will make it easier to reimagine, rediscover, recognize and fully appreciate aspects of this fascinating genre of Indian painting.
The Dynamics of Placement and Re-placement: Art-works and Mysore AmbāVilāsa Palace Durbār Hall Space
Authors:   Assistant Professor, Christ (Deemed to be) University, School of Architecture, Kengeri Campus, Bengaluru-, Kashyap Chandan S K
Published: March 2024

Out of three large collections of Raja Ravi Varma’s paintings, those are in Vadodara, Thiruvananthapuram and Mysuru, Mysore Odeyar’s collection was executed in his last years. Princely Mysore AmbaVilasa palace patronised Raja Ravi Varma to produce these excellent mythological oil paintings for the (public) durbar hall wall. However, at present, this series is displayed in the Jayacamarajendra art gallery in Mys?ru. In the lieu of (t)his corpus of works a series of a canvas depicting mother goddess images executed by Silpa Siddhanti Siddhalinga Swami is visible. What was the reason for this re-placement? Did the architectural intervention cause this change and offered an opportunity for Silpa Siddhanti Siddhalinga Swami to contribute to the same wall space? How Silpa Siddhanti Siddhalinga Swami contributed to redefining the relationship of paintings with the (public) durbar hall space? Corpus of Raja Ravi Varma’s paintings and Silpa Siddhanti Siddhalinga Swami’s paintings are studied in the context of (public) durbar hall space. Letters and catalogues from archival sources pertinent to the commission (art)work in the context of (public) durbar hall wall and ceiling design competition are carefully scrutinized. The architectural aesthetic reason caused the relocation of Raja Ravi Varma’s paintings in the Jayacamarajendra art gallery, which facilitated an opportunity for Silpa Siddhanti Siddhalinga Swami to propound his redefinition of the relationship of (his series of mother goddess) paintings and the (public) durbar hall space, which he had already executed through the ceiling design.
Book Review: Kathakali Padangal (Verses of Kathakali) by Vellinezhi Achuthankutty
Authors:   Department of Media &Communication, Central University of Tamil Nadu,  Thiruvarur, Tamil Nadu, India, Menon Vishnu Achutha
Published: March 2024

The traditional art forms of Asia have been used for socio-political, moral and religious purposes, they have resorted to pure entertainment alone. Asian folk-art forms have a generous mix of dialogue, dance, song, morals and prayer. It caters to small audiences at a time, it impacts on a personal and intimate level. Traditional art forms satisfy our innate need for self-expression.
Glass flame-work of Firozabad: Unfolding the potential clusters and design intervention
Authors:   Silpa Sadana, Palli Samgathana Vibhaga, Visva-Bharati, Santiniketan, West Bengal, India., Chowdhury Aritra Roy , Mondal Arabinda ,   Silpa Sadana, Palli Samgathana Vibhaga, Visva-Bharati, Santiniketan, West Bengal, India.
Published: March 2024

This paper explores the craft of Glass Flame-work and its significance. It narrates the history, location, pattern and structure of the craft, and explains the craft practice in detail. The paper also discusses the methodology for the research, which involves identifying the influential components of the craft. The main part of the paper analyzes the socio-economic data related to the craft. The paper then focuses on the design development process, aiming to create products that can sustain the art in the current market. The paper chooses jewellery as the area of product development and incorporates Glass Flame-work into it. The research was based on primary, secondary and additional data collected from market surveys, closet studies of potential buyers, client studies from various perspectives, and trend research. The data was then filtered and selected according to the research objectives. This paper offers an opportunity for the artisan to meet the aesthetic demands of the market.
Further treatment of coking wastewater treated in A2O-MBR by the nanofiltration-powder activated carbon hybrid system
Authors: İnce Elif , İnce Mahir , Durmaz Furkan , Yaşar Handenur , Uslu Yasin Abdullah
Published: March 2024

In this study, further treatment of coking wastewater treated in anoxic-oxic-membrane bioreactor (A2O-MBR) was investigated to meet the standards of the ministry by means of nanofiltration (NF) (with two different membranes and different pressures), microfiltration -powder activated carbon (MF-PAC) hybrid system and NF-PAC (with two different membranes and five different PAC concentrations) hybrid system. In addition to the parameters determined by the ministry, other parameters such as ammonium, thiocyanate (SCN−), hydrogen cyanide (HCN), dissolved organic carbon (DOC), dissolved inorganic carbon (DIC), color were also examined to evaluate the flux performance and treatment efficiency of the hybrid processes. According to the results, chemical oxygen demand (COD) in the NF process, COD and total cyanide (T-CN) in the MF-PAC process could not meet the discharge standards. As for the NF-PAC hybrid system, XN45 membrane met the discharge standards in all parameters (COD = 96±1.88 mg/L, T-CN =<0,02 mg/L, phenol =<0.05 mg/L), with a recovery rate of 78% at 0.5 g/L PAC concentration.
Solar desalination system for fresh water production performance estimation in net-zero energy consumption building: A comparative study on various machine learning models
Authors: Alhamami Ali Hussain , Falude Emmanuel , Ibrahim Ahmed Osman , Dodo Yakubu Aminu , Daniel Okpakhalu Livingston , Atamurotov Farruh
Published: March 2024

This study employs diverse machine learning models, including classic artificial neural network (ANN), hybrid ANN models, and the imperialist competitive algorithm and emotional artificial neural network (EANN), to predict crucial parameters such as fresh water production and vapor temperatures. Evaluation metrics reveal the integrated ANN-ICA model outperforms the classic ANN, achieving a remarkable 20% reduction in mean squared error (MSE). The emotional artificial neural network (EANN) demonstrates superior accuracy, attaining an impressive 99% coefficient of determination (R2) in predicting freshwater production and vapor temperatures. The comprehensive comparative analysis extends to environmental assessments, displaying the solar desalination system's compatibility with renewable energy sources. Results highlight the potential for the proposed system to conserve water resources and reduce environmental impact, with a substantial decrease in total dissolved solids (TDS) from over 6,000 ppm to below 50 ppm. The findings underscore the efficacy of machine learning models in optimizing solar-driven desalination systems, providing valuable insights into their capabilities for addressing water scarcity challenges and contributing to the global shift toward sustainable and environmentally friendly water production methods.
Advances in MiRNAs Involved in Endometrial Carcinoma
Authors: He Yan , Liao Ke , Peng Hua , Zou Xiangman , Guo Zifen
Published: March 2024

Endometrial carcinoma (EC) is a common malignancy worldwide. Existing evidence
has revealed that EC could be associated with abnormal gene expression. Meantime, evidence
supports that miRNAs act as critical regulators in gene expression through the binding to the 3’-
untranslated region (3’-UTR). Accordingly, this review concludes some recent studies focusing
on miRNAs that influence EC, aiming at understanding the association between miRNAs and
EC more clearly and providing a reference for further studies on miRNA-related drugs treating
EC.
Gastrointestinal Issues in Depression, Anxiety, and Neurodegenerative
Diseases: A Systematic Review on Pathways and Clinical Targets
Implications
Authors: Andriolo Ian Richard Lucena , Longo Bruna , de Melo Dayse Machado , de Souza Márcia Maria , Prediger Rui Daniel , da Silva Luisa Mota
Published: March 2024

Introduction:

Multiple illnesses commonly involve both the Central Nervous System
(CNS) and the Gastrointestinal Tract (GI) simultaneously. Consistent evidence suggests that neurological
disorders impair GI tract function and worsen the symptomatology and pathophysiology of
digestive disorders. On the other hand, it has been proposed that early functional changes in the GI
tract contribute to the genesis of several CNS illnesses. Additionally, the role played by the gut in
these diseases can be seen as a paradigm for how the gut and the brain interact.

Methods:

We mentioned significant GI symptoms and discussed how the GI tract affects central
nervous system illnesses, including depression, anxiety, Alzheimer's disease, and Parkinson's disease
in this study. We also explored potential pathophysiological underpinnings and novel targets
for the creation of future therapies targeted at gut-brain connections.

Results & Discussion:

In this situation, modulating the gut microbiota through the administration of
fecal microbiota transplants or probiotics may represent a new therapeutic option for this population,
not only to treat GI problems but also behavioral problems, given the role that dysbiosis and
leaky gut play in many neurological disorders.

Conclusion:

Accurate diagnosis and treatment of co-existing illnesses also require coordination between
psychiatrists, neurologists, gastroenterologists, and other specialties, as well as a thorough
history and thorough physical examination.
Optimal Indications of Radioimmunotherapy in Nuclear Medicine: A Mini-Review
Authors: Vahidfar Nasim , Ahmadzadehfar Hojjat , Farzanefar Saeed , Abbasi Mehrshad , Salehi Yalda , Saboktakin Fateme , Jahanbin Mahsa , Kashi Mohsen Bakhshi , Eppard Elisabeth , Biersack Hans Jürgen
Published: March 2024

:

Immunotherapy has emerged as a very considerable and potent therapeutic method in
which immune inhibitors have gained a lot of attention in the curative field of various cancers.
Under certain circumstances, when radiotherapy is accompanied by immunotherapy, the efficacy
of the therapeutic procedure increases. Irradiated tumor cells follow a pathway called immunogenic
cell death, which targets tumor associated antigens. The application of radiolabeled
antibodies under the concept of “radioimmunotherapy” (RIT) makes the synergistic targeted
therapeutic effect possible. Since antibodies themselves are cytotoxic, they can kill the cells that
not only bind but are within the path length of their radiation emissions. RIT can be categorized
as a substantial progress in nuclear medicine. The main concept of RIT includes targeting specified
tumor-expressing antibodies. The mentioned purpose is achievable by formulation of radiolabeled
antibodies, which could be injected intravenously or directly into the tumor, as well as
compartmentally into a body cavity such as the peritoneum, pleura, or intrathecal space. RIT has
demonstrated very optimistic therapeutic outcomes in radioresistant solid tumors. Wide ranges
of efforts are accomplished in order to improve clinical trial accomplishments. In this review,
we intend to summarize the performed studies on RIT and their importance in medicine.
LEAN SIX SIGMA APPROACH TO IMPROVE THE PRODUCTION PROCESS IN THE GARMENT COMPANY: A CASE STUDY
Authors:   Department of Industrial Engineering, University of Muhammadiyah Malang, Fibriani Lenny , Kesy Garside Annisa , Amallynda Ikhlasul
Published: March 2024

PT “X” is a company engaged in the garment industry. The company is facing problems that inhibit the production process. These problems comprise an excess of product defects beyond the specified limits, a considerable rate of product returns, delays in product shipment, and disorderly arrangements in storing raw material. This study aims to determine the root causes of problems in the PT “X” and provide recommendations for improvement using the concept of lean six sigma. The waste assessment model is used to identify the dominant waste, while the value stream analysis tools is a method used to analyze the causes of the dominant waste. From the research results, four dominant wastes are identified, namely waste defects, unnecessary inventory, waiting and unnecessary motion, with percentages of 27.02%, 15.92%, 14.32% and 14.0% respectively. The results of the analysis using mapping tools show the details of waste in each dominant waste. Proposed recommendations for improvement are made using the failure mode and effect analysis based on the highest risk priority number for each dominant waste. The recommendations proposed by the researchers include implementing a standard operating procedure and work instruction for the sewing process; scheduling machine maintenance using reliability centered maintenance II; planning and scheduling materials using material requirement planning; implementing line balancing; and designing name tags, visual displays, and storage rack layout.
Exploring the Association Between Structural Racism and Mental Health: Geospatial and Machine Learning Analysis
Authors: Mohebbi Fahimeh , Forati Amir Masoud , Torres Lucas , deRoon-Cassini Terri A , Harris Jennifer , Tomas Carissa W , Mantsch John R , Ghose Rina
Published: March 2024

Background

Structural racism produces mental health disparities. While studies have examined the impact of individual factors such as poverty and education, the collective contribution of these elements, as manifestations of structural racism, has been less explored. Milwaukee County, Wisconsin, with its racial and socioeconomic diversity, provides a unique context for this multifactorial investigation.

Objective

This research aimed to delineate the association between structural racism and mental health disparities in Milwaukee County, using a combination of geospatial and deep learning techniques. We used secondary data sets where all data were aggregated and anonymized before being released by federal agencies.

Methods

We compiled 217 georeferenced explanatory variables across domains, initially deliberately excluding race-based factors to focus on nonracial determinants. This approach was designed to reveal the underlying patterns of risk factors contributing to poor mental health, subsequently reintegrating race to assess the effects of racism quantitatively. The variable selection combined tree-based methods (random forest) and conventional techniques, supported by variance inflation factor and Pearson correlation analysis for multicollinearity mitigation. The geographically weighted random forest model was used to investigate spatial heterogeneity and dependence. Self-organizing maps, combined with K-means clustering, were used to analyze data from Milwaukee communities, focusing on quantifying the impact of structural racism on the prevalence of poor mental health.

Results

While 12 influential factors collectively accounted for 95.11% of the variability in mental health across communities, the top 6 factors—smoking, poverty, insufficient sleep, lack of health insurance, employment, and age—were particularly impactful. Predominantly, African American neighborhoods were disproportionately affected, which is 2.23 times more likely to encounter high-risk clusters for poor mental health.

Conclusions

The findings demonstrate that structural racism shapes mental health disparities, with Black community members disproportionately impacted. The multifaceted methodological approach underscores the value of integrating geospatial analysis and deep learning to understand complex social determinants of mental health. These insights highlight the need for targeted interventions, addressing both individual and systemic factors to mitigate mental health disparities rooted in structural racism.
Leveraging Large Language Models for Improved Patient Access and Self-Management: Assessor-Blinded Comparison Between Expert- and AI-Generated Content
Authors: Lv Xiaolei , Zhang Xiaomeng , Li Yuan , Ding Xinxin , Lai Hongchang , Shi Junyu
Published: March 2024

Background

While large language models (LLMs) such as ChatGPT and Google Bard have shown significant promise in various fields, their broader impact on enhancing patient health care access and quality, particularly in specialized domains such as oral health, requires comprehensive evaluation.

Objective

This study aims to assess the effectiveness of Google Bard, ChatGPT-3.5, and ChatGPT-4 in offering recommendations for common oral health issues, benchmarked against responses from human dental experts.

Methods

This comparative analysis used 40 questions derived from patient surveys on prevalent oral diseases, which were executed in a simulated clinical environment. Responses, obtained from both human experts and LLMs, were subject to a blinded evaluation process by experienced dentists and lay users, focusing on readability, appropriateness, harmlessness, comprehensiveness, intent capture, and helpfulness. Additionally, the stability of artificial intelligence responses was also assessed by submitting each question 3 times under consistent conditions.

Results

Google Bard excelled in readability but lagged in appropriateness when compared to human experts (mean 8.51, SD 0.37 vs mean 9.60, SD 0.33; P=.03). ChatGPT-3.5 and ChatGPT-4, however, performed comparably with human experts in terms of appropriateness (mean 8.96, SD 0.35 and mean 9.34, SD 0.47, respectively), with ChatGPT-4 demonstrating the highest stability and reliability. Furthermore, all 3 LLMs received superior harmlessness scores comparable to human experts, with lay users finding minimal differences in helpfulness and intent capture between the artificial intelligence models and human responses.

Conclusions

LLMs, particularly ChatGPT-4, show potential in oral health care, providing patient-centric information for enhancing patient education and clinical care. The observed performance variations underscore the need for ongoing refinement and ethical considerations in health care settings. Future research focuses on developing strategies for the safe integration of LLMs in health care settings.
IMPACT OF AN EDUCATIONAL INTERVENTION ON AWARENESS OF PHARMACOVIGILANCE AND ADR REPORTING AMONGST AYURVEDIC POST-GRADUATE STUDENTS
Authors: ATRAY MEENA , BHANDARI ADITI , DAMOR RAHUL
Published: March 2024

Objective: Adverse drug reactions (ADR) are one of the major causes of morbidity and mortality. Ayurveda is one of the oldest healthcare systems, widely practiced in India and there is a misconception that AYU and H drugs are free from ADRs. Post-graduate (PG) students are fresh pass-out medical graduates and are major contributors in providing health care at tertiary care centres. The present study was planned with the aim of evaluation of knowledge, attitude and practice of pharmacovigilance amongst PG students and impact of an educational intervention on their knowledge and attitude.

Methods: A pre-test, post-test questionnaire based cross-sectional study was conducted. 41 postgraduate students from different branches were included. An educational intervention in the form of sensitization programme, including basic knowledge of pharmacovigilance, monitoring system for pharmacovigilance andcase-based ADR reporting was conducted. A validated questionnaire consisting of questions regarding knowledge, attitude and practice of pharmacovigilance was provided as a pre-test and post-test and the results were statistically evaluated.

Results: Scores of pre-test reveals that the participants were aware of basic knowledge of pharmacovigilance but knowledge about reporting procedure and the monitoring system was lacking. The difference in mean scores of pre and post-test was statistically significant. Most of the participants agreed that reporting ADR improves drug safety and frequent sensitization programmes should be conducted but practically, they had not undergone any training/sensitization programme.

Conclusion: The study reveals that even with the favorable attitude towards drug safety and ADR reporting, the unawareness of PG students about the monitoring system and deficient ADR reporting indicatesa strong need for the conduction of repeated training/sensitization programmes and other suitable methods for encouraging ADR reporting.
Vehicle Theft Detection and Tracking Based on GSM and GPS
Authors: Mishra Nikhil
Published: March 2024

Abstract: The increasing incidence of vehicle theft poses a significant challenge to vehicle owners and law enforcement agencies worldwide. This paper presents a comprehensive solution for addressing this issue through the integration of Global System for Mobile Communications (GSM) and Global Positioning System (GPS) technologies. The proposed system aims to enhance the security of vehicles by providing real-time theft detection and efficient tracking capabilities. The GSM module facilitates communication between the vehicle and a centralized monitoring system, allowing forseamless data transmission. The system leverages the widespread coverage and reliability of GSM networks to ensure that alerts are promptly delivered to relevant stakeholders, irrespective of the vehicle's location. Furthermore, the GPS technology enables real-time tracking of the stolen vehicle, assisting law enforcement agencies in swiftly responding to the incident. The system's tracking feature provides continuous updates on the vehicle's location, allowing for efficient recovery operations. Additionally, the integration of geofencing capabilities allows users to define virtual boundaries, triggering alerts if the vehicle deviates from the predefined geographical area. The proposed system offers a multi-layered security approach, combining GPS-based tracking with GSMenabled theft detection, making it a robust and effective solution for combating vehicle theft. The integration of these technologies not only enhances the chances of recovering stolen vehicles but also acts as a deterrent, discouraging potential thieves. In conclusion, the Vehicle Theft Detection and Tracking System presented in this paper showcases a technologically advanced and practical solution to mitigate the impact of vehicle theft. The integration of GSM and GPS technologies provides a comprehensive and reliable framework that addresses the security concerns associated with vehicle ownership in today's dynamic environment.