bluuebunny/crossref_metadata_2025 huggingface dataset:
Seroprevalence of Hepatitis B and C co-infection in HIV seropositive and HIV seronegative cases in a Tertiary care hospital in Southern Haryana
Authors: Behl Shreya , Behl Aaditya , Mane Pratibha , Sangwan Jyoti , Vohra Prakriti
Published: July 2023

HBV (Hepatitis B virus) and HCV (Hepatitis C virus) are the causative agents of acute as well as chronic hepatitis. Nearly, two billion people are suffering with HBV and approximately 170 million people are infected with HCV infection around the world. While patients who are infected with HIV (Human Immunodeficiency Virus) 2-4 million are found to be having chronic HBV co-infection and 4-5 million are having HCV coinfection. Due to common mode of transmission of HIV, HBV and HCV like using shared needles, syringes, other injectable devices, sexual intercourse, or even mother to baby transmission, it is common to see HBV and HCV co-infection in HIV positive individuals.

This was a hospital based observational cross-sectional study. This study was conducted in Department of Microbiology, SHKM GMC, Nalhar, Nuh, Haryana. It was for one year. The sample size for HIV seropostive cases was 80 including 40 HIV positive and 40 HIV negative samples. Seroprevalence of HBV and HCV was identified on HIV positive and HIV negative samples.

Seroprevalence of HBV and HCV was found to be higher in HIV positive individuals than HIV negative individuals. In HIV positive patients 10% individuals were HBsAg positive, 5% were HBeAg positive, 10% were positive by HBV RT-PCR. None of the HIV negative were coinfected with HBV. Similarly HCV-HIV coinfection was seen in 12.5% of individuals with Rapid test, ELISA and RT-PCR. None of the HIV negative were coinfected with HCV.

In HIV positive individuals HBV and HCV coinfection was seen and Co-infection of HBV and HCV was absent in HIV negative individuals. Regular screening is recommended for HBV and HCV in HIV positive individuals.
Symptomatic prevalence of covid-19 in vaccinated and non-vaccinated population
Authors: Pandya Jay Bhupesh , Shethia Nirali Milind , Bangera Divya , Saxena Shailaja Gada
Published: July 2023

Coronavirus disease (COVID-19) is an infectious disease caused by the SARS-CoV-2 virus. The world has witnessed havoc with the rapid emergence of COVID-19. The unpreparedness towards the pandemic caused the whole world to face severe consequences. Emerging economies like India with a population of more than 1.3 billion faced heavy toll of life due to the rapid spread of highly contagious COVID-19 and shortage of medical supplies and infrastructure. The testing, tracing, and isolation of COVID-19 positive patients helped greatly to break the chain of COVID-19 infection, this later boosted by the vaccine production and administration on a war scale by Government of India.

In this study, we have tried to understand the symptomatic effects of COVID-19 on Indian population, its prevalence, and significance. Many individuals developed symptoms like COVID-19 but tested negative for the same and vice versa. The cases of individuals not developing symptoms of COVID-19 but infected by COVID-19 act as a carrier of the virus possibly infecting other individuals unknowingly. These individuals may have weaker immunity and more submissive health conditions due to age, under surgical treatment or are infected by other chronic or acute diseases. This makes it essential to correlate and study the symptomatic incidence of COVID-19 with respect to age and vaccination status of Indian population.

This study was undertaken to determine the symptomatic prevalence of COVID-19 in vaccinated and non-vaccinated patients that were tested in our laboratory. There were 86,761 samples tested out of which 49,371 samples were positives and 37,390 were negative. The samples from different parts of India were tested between1st July 2020 and 14th November 2022, dividing the total period in 5 phases for better correlation as vaccine administration started during early 2021 primarily for health workers and till it reached common people by mid of July 2021.

The observations and statistical study have described the significance of vaccination and have given better insights about the working class of individuals between 18 and 45 years of age which were more exposed to infection. The study also identifies various parameters which aggravated and conciliated the symptoms of COVID-19. The study helps us to identify the prevalence and incidence of COVID-19 virus in Indian Population and can be beneficial in devising a better strategies in future to tackle symptomatic adversaries of any infection.
Stakeholders Sustenance in Tourism Progression in Ziro Valley of Arunachal Pradesh, India
Authors: Thakuria Vajana
Published: July 2023

The paper focused on the contribution of stakeholders in tourism development in Ziro Valley. The valley is having an enormous potential for tourism development and in fact it is already in the tourism map of Arunachal Pradesh, which attracts both domestic and foreign tourists. Its unique location close to the Talley Valley Wildlife Sanctuary and picturesque landscape, practice of pisci-culture (fish cum paddy) attracts tourists. Ziro valley is the homeland of Apatani tribe of Arunachal Pradesh, famous for their rich culture and traditions. The studies have shown that hospitable and friendly attitudes of locals contribute significantly to overall tourist satisfaction. The study was devised and implemented on the basis of both qualitative and quantitative survey. The survey accounts the contribution and role of the stakeholders for development of tourism in the area.
A Critical Look at Innovation Profile and Its Relationship with Pharmaceutical Industry
Authors: Brian Godman, Wallace Mateus Prata, Rodrigo Gomes Silvestre, , Eduardo Mario Dias, Anthony Martin, Carolina Zampirolli Dias, , Augusto Afonso Guerra Junior Francisco de Assis Acúrcio ,
Published: July 2023

Background: The pharmaceutical sector undertakes extensive research and development (R&D). Pharmaceutical industries have continued to launch an appreciable number of new medicines, different pharmaceutical formulations, new indications and other innovations that contribute to the growth of this sector. New novel medicines are increasingly essential for continued success given the number of standard medicines now available as low cost generics or biosimilars. Consequently, innovation is a fundamental element in pharmaceutical company competition. Not all innovations though are the same size, type or category with differentiation of innovation essential for commercial success. However, given the wide range of definitions used in the literature, the framing may diffuse. Currently, there are several types and categories of innovation are deficiently harmonized and poorly stratified resulting in analysis trends and provide major obstacles to innovation’s differentiation and in assessing the company's innovative dominant characteristic in the sector. The objective of this study is to stratify and organize, didactically, the field of definitions and concepts of innovation and provide a structural and operational delineation, from a critical point of view, for the classifications of innovation applied to the pharmaceutical industry.
Chia Seed(Saliviahispanica) – An Antioxidant Potent to Pharmacological Activities
Authors: Dr. Josephine Nirmala Many V. Sarasvathi
Published: July 2023

Antioxidant is a substance that reduces damage due to oxygen, that caused by free radicals. The recent research focuses on searching the natural sources of antioxidant and the synthetic antioxidant are restricted due to their carcinogenicity. Chia (Saliviahispanica) are versatile herb as well as spice, and the seeds are shine due to their high amount of antioxidant that help to protect delegate fats in the seed. In the present study, the mucilage extraction of chia seed was prepared by method of Box-Behnn experimental design and the qualitative chemical tests carried out for the identification of the nature of phyto-constituents present in chia. Free radical scavenging activity and metal chelating activity were identified and it includes Total Flavonoid Content (TFC), Total Phenolic Content (TPC), DPPH and Total Antioxidant Content (TAC) was analyzed. The total antioxidant activity was performed according to Ferrick Thiocyanate method. At the 50µg/ml concentration of chia were found to be 0.28µg/ml of phenolic, 1.23mg of orientin, 2.78mg of vicenin, 1.7mg of vitamin C respectively. The chia had effective total antioxidant activity, DPPH radical scavenging, reducing power and metal chelating activities. Chia is good antioxidant potential with enlightened total phenolic and flavonoid content in management of cholesterol reduction and heart protection. The common dosage recommendation is 20gm of chia seed per day. Based on this properties, the present study was undertaken in such a way to utilize and explore the health benefits.
A Study on Business Environment of Life Insurance in India
Authors: M. Srinivas K.Radhika,
Published: July 2023

This article implicated the business environment of life insurance in India. There is a tremendous opportunity and highly resources are available for life insurance in the business environment. There is a need to educate the people for their future financial needs and their savings. The insurance is a touchstone of nation’s level of evolution. The life insurance principle now comes to be more and more useful with the passage of time. In other word, insurance is a great source of development of national savings. This is the law of nature that individuals need to live and play with perils. Regardless of the possibility that this is true, people of India still don’t have curiosity to insure them. The present study was intended to understand the business environment towards life insurance in India
The first U-Pb (SHRIMP-II) dating of the reftinsky massif granitoids (eastern zone of the Middle Urals)
Authors: Korovin D. , Smirnov V.
Published: July 2023

The article presents the results of U-Pb dating (SHRIMP-II, the Center for Isotope Research of the A.P. Karpinsky Russian Geological Research Institute) of zircon grains from leucogranite dating back to the final formation stage of the Reftinsky gabbro-granitoid massif, which is one of the largest magmatism areas of this type in the Urals. The intrusive formations of the dated magmatism episode form a sub-meridionally elongated chain of small (up to 5 km in diameter) bodies, which intrude the Silurian plagioclase granitoids building up the main part of the massif. These bodies are dominated by granodiorites, granites, and leucogranites with some gabbro, gabbronorites, diorites, and quartz diorites. By the chemical composition, the study rocks belong mainly to the moderate-potassium calc-alkaline series. The silica-rich petrographic rock varieties have a high-potassium composition. The concordant age of zircons from leucogranites is 396 ± 3 Ma. So, the formation of zircons falls in the same time interval with a significant episode of endogenous activity, i.e. the existence of the Devonian island arc within the Middle Urals (from the second half of the Emsian through the beginning of the Frasnian).
‘Domat’ sofralık zeytin çeşidinde farklı hasat yöntemlerinin ve kısa süreli depolamanın meyve kalitesine etkileri
Authors: QABATTY Ahmad , ALAYUNT Fazilet Nezahat
Published: July 2023

Amaç: Bu çalışmanın amacı, sofralık çeşit olan ‘Domat’ zeytin çeşidinin makineli hasadına temel teşkil edebilecek fiziko-mekanik özelliklerini belirlemek ve farklı olgunlaşma dönemlerinde farklı hasat yöntemlerinin meyve kalitesi üzerindeki etkilerini karşılaştırmalı olarak ortaya koymaktır.
Materyal ve Metot: Çalışma laboratuarda ve bahçe ortamında yapılmıştır. Bahçe denemelerinde; elle, sırıkla, dal sarsıcıyla, mekanik tarakla ve elektrikli çırpıcıyla olmak üzere beş farklı hasat yöntemi kullanılmış ve iki farklı dönemde hasat yapılmıştır. Denemeler sırasında alınan örnekler normal iklim koşullarında muhafaza edilmiş ve meyve kalitesindeki değişimler gözlemlenmiştir.
Araştırma Bulguları: Hasat dönemine bağlı olarak ‘’zeytin çeşidinin fiziko-mekanik özelliklerinde değişim görülmüştür. Sırıkla ve elektrikli çırpıcı ile hasat sırasında meyve eti sertliğinin, meyve rengi açıklığının, parlaklık ve yeşil renginin azaldığı, ağaç ve meyve zararının arttığı, meyvede kalitesinde değer kaybına yol açtığı anlaşılmıştır. Elle, mekanik dal sarsıcı ve mekanik tarak ile hasatta meyve eti sertliği korunmakta, meyve renginin açıklığı, parlaklığı ve rengi aynı kalmakta, ağaç ve meyve zararı düşük düzeyde bulunmaktadır.
Sonuç: ‘Domat’ zeytinlerin mekanik dal sarsıcı ile hasadının yapılması diğer hasat yöntemlerine göre daha başarılı bulunmuştur.
THE SACREDNESS OF COMMUNICATION IN THE NGASUH GUMI TRADITION OF THE NORTH LOMBOK: AN ETHNOGRAPHIC ANALYSIS
Authors: Sarjono  , Kadri  , Fakhri Mohammad
Published: July 2023

The criticality of Ngasuh Gumi ceremonial communication practices for the Tanjung people in North Lombok. The purpose of this study is to comprehend the significance and steps of the Ngasuh Gumi ceremonial procedure. An ethnographic design is a component of the qualitative research methodology. The findings demonstrated the significance of ritual communication in the Ngasuh Gumi tradition for the local population. Ritual communication is symbolic rather than information-focused. Confirmation, breaking, notification, matur penguningan, and burial of the buffalo head are among the processes. The Ngasuh Gumi ritual serves as a way of warding off danger in human life as well as a symbol of the "tri-relation" of human life, upholding and caring for the preservation of nature and ecology.
Zoonotic Anisakidae Nematodes - Emerging Pathogens in Salmon and Other Commercially Important Fish Species from Polish Marine Waters
Authors: Nadolna-Ałtyn Katarzyna , Podolska Magdalena , Pawlak Joanna
Published: July 2023

The zoonotic Anisakidae nematodes Anisakis sp., Pseudoterranova sp., Contracaecum sp. have been found in Baltic Sea fish species. In particular, there has been an alarming increase in the dispersion of Contracaecum sp. over the last decade, due to the growing number of grey seal (Halichoerus grypus) in the area. This marine mammal is also the final host in the Pseudoterranova sp. life cycle. The aim of our study was to summarize the presence of Anisakidae nematodes in the salmon (Salmo salar) and other commercially important fish species (cod, herring and sprat) from Polish marine waters. This was evaluated by parasitological inspection of the internal organs and body cavities of 89 individual salmon and the results were compared with infection levels in cod, herring and sprat. The presence of Pseudoterranova sp. is reported for the first time here in the muscle tissue of salmon from the Baltic Sea. In addition, we highlight the elevated levels of cod and sprat infection with Contracaecum sp. over the last decade. The presence of Anisakidae nematodes in commercially important fish species may have implications for human health since these parasites pose a risk of anisakidosis.
Reconsideration and Proposal of Development Models in Projects- “Quasi” Development Models: Quasi-Waterfall and Quasi-Agile
Authors: Fujita Takaaki
Published: July 2023

Diverse development models, including waterfall development, iterative development, and agile development, have been put forth and implemented across real-world contexts. When engaging in discussions on project management, the examination and exploration of development models assume paramount importance and are integral. This paper embarks upon an investigation and scrutiny of these development models, culminating in the proposition of "Quasi" Development Models: Quasi-Waterfall and Quasi-Agile.
Popular gym fitness sport – an analysis of 1378 recreational athletes regarding injury prone exercises and the corresponding localizations-
Authors: Bernstorff Maria Alexandra , Finke Andreas , Schumann Norman , Schildhauer Thomas Armin , Koenigshausen Matthias
Published: July 2023

Recreational fitness sport is popular worldwide and ranks first among organized sports. Despite such great numbers of participants, there is little scientific work that deals with the injury behavior in mass fitness sports. This study attempts to fill this gap by examining which exercises may be most prone to injury and analyzes the body regions that are most frequently affected.
Using an online questionnaire distributed nationally across Germany, 20 demographic and training-specific items and 49 sport-specific exercises were recorded. Frequent exercises, as well as the incidence and distribution of pain symptoms that the athletes experienced during or in relation to their training were evaluated. A total of 1378 respondents were included in this study. N = 732 (53,1%) (f = 333 (24,2%), m = 397 (22,3%)) indicated to have had pain in relationship to their fitness training. The way the training plan was created showed a significant influence (p = 0): Those athletes who create a plan on their own, report complaints more often than the comparison groups. Guided exercises on machines led to complaints the least often (11.54%). Exercises with free weights cause the most complaints among respondents (19.94%). We were able to identify exercises such as back squat, deadlift, bench press and triceps dips as the most pain associated exercises. The most common pain region was the shoulder followed by the lower back and knee. The present work is the first large-scale study to examine the injury behavior of recreational athletes in fitness sports. The results show a considerably high number of unreported pain symptoms.
Precise Impact Time and Angle Guidance Strategy under Time-Varying Velocity
Authors: Wang Yiwei , Li Ruichen , Wu Zihao , Chen Kang , Yu Dengxiu
Published: July 2023

In this paper, a new guidance strategy is proposed for achieving precise control of time-varying velocity aircraft with impact time and angle constraints. Traditional guidance laws assume a constant velocity of the aircraft, but the velocity varies with time in practical scenarios, which affects the guidance accuracy under impact time and angle constraints. To overcome these difficulties, a guidance strategy consisting of trajectory generation and trajectory tracking is proposed. Firstly, the reference trajectory is constructed based on the Bezier spiral, which naturally satisfies the impact angle constraint. Then, the control problem of the impact time is transformed into an adjustment problem of the trajectory length. The expression of Bezier spiral that is only related to the curvature is derived, and a new lemma describing the relationship between trajectory length and curvature is found. Furthermore, the differential flatness property of the control system is explored to design a trajectory tracking method for Bezier spiral trajectory, which applies feedback linearization of the system through higher-order information. Finally, Numerical simulations confirm the superiority of the proposed method and validate the analytic findings.
Acacia Senegal-based Non-Newtonian Electrolyte for Memristive Applications
Authors: Lokhandwala Aziz , Thakkar Parth , Gosai Jeny , Oza Suvik , Solanki Ankur
Published: July 2023

The conduction of ionic species through the solid-state memristive devices were found to have no comparable mobility with the ions (Na+, K+, and Ca2+) in the human brain creating a major bottleneck for use of these devices for neuromorphic applications. In an attempt to resolve this issue, and compete with demands in soft electronic technologies, ionic electrolytes are promising candidates as active materials. Here, we put forward a new approach of utilizing the rheological properties of Acacia Senegal with Sodium Chloride (AS@NaCl) electrolyte to obtain the resistive switching property. The device exhibits resistive switching, with SET process consuming 0.16mJ, with channel diameter of 1.2cm, and ~ 5.46µJ with 0.2 mm channel diameter. The impedance spectroscopy measurements were performed to investigate the role of the rheological properties of the medium and medium-electrode interface in resistive switching. Furthermore, a theoretical model has been adopted for quantitative analysis. To evaluate the potential of the device for neuromorphic tasks and proving their resemblance with the synapse governing the neuronal dynamics, first accounts of all four of Spike Time Dependent Plasticity (STDP) (Symmetric (Hebbian/Anti-Hebbian), and Asymmetric (Hebbian/Anti-Hebbian)) behavior in addition to other preliminary synaptic characteristics have been presented. The findings presented reveal the potential of the AS@NaCl electrolyte involving low cost and easy processable technology for memristive applications.
Mouse cardiac tissue received greater protection from and had better tolerance to the maximum dose of FLASH versus conventional radiation
Authors: Choi Min-Young , Kim Hyun , Kang Sang Koo , Lee Sang Jin , Jang Kyoung Won , Lim Heuijin , Lee Manwoo , Jeong Dong Hyeok , Moon Young Min , Kim Jin Young , Yu Tosol , Choi Chul Won , Jeon Wan
Published: July 2023

Radiation therapy is used to treat patients with various types of cancer by killing tumor cells or inhibiting their growth. However, conventional radiation (CONV) not only shrinks the tumor, but also irradiates the surrounding normal tissue, causing normal tissue toxicity. Here, we investigated the potential benefits of high-dose FLASH irradiation therapy applied over a short period and compared the effects of FLASH irradiation and CONV irradiation on mouse cardiac tissue. Our results showed that compared to CONV irradiation, FLASH irradiation resulted in lower mortality and prevented radiation-induced cardiac fibrosis, according to in the survival curves of irradiated mice. FLASH irradiation was more effective than CONV irradiation at higher doses and showed a protective effect and greater cardiac tissue tolerance. These findings can be used to evaluate the efficacy, safety, and potential side effects of FLASH radiation therapy in animal models before application to human patients. Thus, our results on cardiac tissue changes in mice after FLASH irradiation in this study will be an important reference for predicting and measuring cardiotoxicity in preclinical and clinical applications of FLASH treatment in the future.
Impact of maternal factors and environmental stress on sex ratio in Southern Poland
Authors: Nieczuja-Dwojacka Joanna , Marchewka-Długońska Justyna , Budnik Alicja , Wojtowicz Patryk , Giemza Bogdan , Skrzypczyk Bożena , Zvarik Aneta
Published: July 2023

The secondary sex ratio (SRB) is a widely used descriptor that reflects the living conditions and health status during pregnancy.
The aim of study was to assess the impact of maternal factors, season of birth, and air pollution with the heating season on the sex ratio at birth in the Subcarpathian population from the Krosno district.
A retrospective study involving 11,587 births was occurred at the John Paul II Podkarpackie Province Hospital in Krosno between 2016 and 2020. Sex of the newborn, the season of their birth, as well as the maternal age, birth order, the interval between births, and the season of birth were analysed. Furthermore, the relationship between the SRB and the level of air pollution during the heating season was investigated. To determine the significance of differences in sex ratios, chi-square analysis and multifactorial regression were used, with a significance level set at p < 0.05.
At the chi-square level, all the studied factors indicated a statistically significant relationship with the SRB. However, the regression model used shows that maternal age and birth order were the most important factors in shaping the SRB in the study group.
A Cognitive-Motor Dissociation of NMDAR Blockade in Behaving Non-Human Primates
Authors: Pouget Pierre , Paré Martin , Daye Pierre
Published: July 2023

Ketamine is widely used to probe cognitive functions relying on the properties of NMDAR synaptic transmission. Numerous works have already proved that cognitive performance and adjustments in the decision or perceptual domains are affected after ketamine injection in the general circulation. Here, we take advantage of that in the brain stem; horizontal saccade deceleration is controlled by glycine NMDA-gated current. In contrast, GABA current controls vertical deceleration to demonstrate that despite general circulation level manipulation of NMDAR synaptic transmission, the skewness of the saccade appeared to be in the motor brainstem generator circuit differentially maintained. The deacceleration of the saccade elicited toward a horizontal target was substantially decreased, while the deacceleration of a vertical saccade remained largely unaffected. These results provide a functional marker for estimating NMDA-gated specificity acting in the pre-frontal cortex while maintaining its specificity among the GABA circuit of drugs in general circulation.
Genome-Wide Identification and Characterization of the SBT Gene Family in maize and Its Expression in the Various tissue
Authors: Wang Xiaodong , Zhang Yanting , Xiang Dianjun , Wang Meng , Zhang Weiwei , Li Zhigang , Liu Peng
Published: July 2023

Maize is one of the three major crops in China. And SBT (Bacillus subtilis protease like serine protease) is a serine proteolytic enzyme, which widely exists in various organisms and participates in biological growth and defense. Therefore, it is necessary to study the SBT gene of maize. In this study, we identified 59 maize SBT genes (ZmSBTs), which were divided into 6 subfamilies through phylogenetic trees and distributed unevenly on 10 chromosomes. Analysis of cis-acting elements showed that ZmSBTs contained elements for plant growth and defense. In addition, the expression pattern of transcriptome data of different maize tissues shows that different ZmSBTs are expressed differently in different tissues. We also predicted the interaction of ZmSBT1.7and ZmSBT2.5 specifically expressed in meiosis_tassels with other maize proteins through the protein interaction website, and the interaction of ZmSBT1.2specifically expressed in seeds with other maize proteins. This study provided valuable information about maize SBT gene and clarified the possible biological functions of ZmSBT1.7, ZmSBT2.5 and ZmSBT1.2.
Study of the Seismic Behavior of Diagonally Reinforced Concrete Coupling Beam with Compared to Composite Beam
Authors: Takale Ajaykumar Balasaheb , Taware A. A.
Published: July 2023

Most of the reinforced concrete RC Shear walls have openings have openings due to door, window and transport facilities, which are connected with coupling beam. It is essential to examine the seismic performance of structural elements to guarantee the dependability and safety of structures during earthquakes. In order to increase the overall stiffness and strength of the structural system, coupling beams are essential for transferring lateral forces across structural components. These abstract details an ANSYS-based investigation on the seismic behavior of coupling beams. Comprehensive modeling and analysis of complicated structural systems susceptible to seismic loading is made possible using ANSYS software, a potent finite element analysis tool. In this work, ANSYS is used to create a three-dimensional finite element model of a building with coupling beams. To effectively simulate the structural response to seismic excitation, the model includes realistic material properties, geometry, and boundary conditions. A number of dynamic evaluations are performed to evaluate the coupling beams' seismic response. To comprehend the coupling beams' performance under earthquake loading, evaluation is done of their reactions, including their deformation patterns, stresses. The beam with diagonally reinforcement having maximum deformation of 0.098 mm, where the deflection of conventional beam with steel plate having maximum deformation of 0.1 mm. The percentage difference of maximum deformation is 2%. The conventional beam with steel plate having maximum shear stress of 7.64 MPa, where the deflection of beam with diagonally reinforcement having maximum deformation of 8.5 MPa. As per results, the conventional beam with steel plate gets less shear stress as compare to diagonally reinforcement beam. The percentage difference of maximum shear stress is 10.11%.
Reliability and validity of the Chinese version of Intrahospital Transport Safety Scale in intensive care
Authors: Li Shuaishuai , Hou Shuting , Deng Xianjiao , Chen Shihao , Wang Huaqin , Tang Li , Xie Jianhui , Ye Man
Published: July 2023

Background
Intrahospital transport of critically ill patients is a common occurrence in intensive care units, where the challenging nature of high-intensity work and dynamic environments often poses patient safety risks. The Intrahospital Transport Safety Scale is a favorable self-report measurement tool utilized to evaluate the safety of Intrahospital transport, but it has not been used in China before.
Objectives
This study aimed to validate the reliability and validity of the scale among critical care nurses in China.
Methods
A cross-sectional design employing cluster random sampling was used, involving a total of 544 critical care nurses. The reliability and validity of the Chinese version of the Intrahospital Transport Safety Scale were examined.
Results
The Chinese version of the scale displayed robust psychometric properties, with Cronbach's α coefficient of 0.976, a split-half reliability of 0.906, and a test-retest reliability of 0.856. Exploratory factor analysis revealed a four-factor model that explained 75.970% of the variance. The factor loadings of the items ranged from 0.433 to 0.951. Confirmatory factor analysis indicated a strong model fit, with a chi-square to degrees of freedom ratio (CMIN/DF) of 2.765, comparative fit index (CFI) of 0.943, incremental fit index (IFI) of 0.943, and goodness-of-fit index (GFI) of 0.845, supporting the efficacy of the four-factor model in assessing intrahospital transport safety for critically ill patients.
Conclusion
The Chinese version of the Intrahospital Transport Safety Scale demonstrated favorable reliability and validity among critical care nurses in China, making it a suitable tool for measuring the level of Intrahospital transport safety for critically ill patients.
Thromboprophylaxis in Multiple Myeloma Patients on Immunomodulatory Agents: Single-Center Practice Patterns and Outcomes
Authors: Newman Talie , Spencer Hannah , Kelly Katherine , Kelly Kevin , Rivera Elsy
Published: July 2023

PURPOSE
Practice guidelines suggest two models (IMPEDE and SAVED) be utilized to stratify risk of venous thromboembolism (VTE) and determine the optimal thromboprophylaxis in patients with multiple myeloma (MM). Historical practice at the VA North Texas (VANTHCS) has been to preference aspirin for MM patients receiving induction therapy with immunomodulatory drugs (IMiDs). This study reviewed the rate of VTE in this population and examined the role of risk stratification models in determining need for anticoagulation versus aspirin thromboprophylaxis.
METHODS
Retrospective chart review of 329 patients diagnosed with MM between 2010 and 2022 was conducted. The primary outcome was incidence of VTE within six months of initiating IMiD-based induction therapy, stratified by IMPEDE and SAVED scores. Select secondary outcomes included predictive probability of IMPEDE and SAVED scores, thromboprophylaxis regimen utilized, and incidence of major bleeding.
RESULTS
A total of 248 patient inductions were included. Based on IMPEDE and SAVED scores, 100% and 76% of patients were classified as high risk, respectively, with 86% of patients receiving aspirin thromboprophylaxis. There was a 7.7% incidence of VTE within six months. Neither the IMPEDE (p = 0.55) or SAVED (p = 0.295) scores demonstrated predictive probability of VTE in this population. There was no statistical difference in the primary outcome between aspirin and anticoagulation (p = 0.3). Major bleeding occurred in 7.3% of the patients.
CONCLUSION
Overall incidence of VTE was low despite these populations being classified as high risk. Aspirin prophylaxis may be adequate VTE thromboprophylaxis in patients receiving IMiD-based induction regimens.
Assessing the potential risk of glacier avalanches to hydropower infrastructure in the Himalayan region
Authors: Laha Sourav , Majeed Ulfat , Banerjee Argha , Rashid Irfan , Steiner Jakob , Vijay Saurabh
Published: July 2023

A number of flash floods and debris flows triggered by glacier avalanches from relatively small but steep hanging glaciers over the past few years have exposed the vulnerability of infrastructures and livelihoods in the high Himalaya. As of now there are no methods to identify potentially dangerous hanging glaciers in a given catchment, and to asses the associated risk to any given infrastructure. In this paper, we propose a simple physics-based probabilistic method which attempts to provide a first-order solution to this problem. It is based on considering of a large number of hypothetical glacier avalanches and an associated flood event within a numerically-efficient Monte-Carlo framework. We assign probability weights to the chain of events involved in a flood reaching a given dam location, and assess the relative risk. We test the method in three Himalayan catchments, including two where glacier avalanche events have been reported in the recent past. The proposed method is based on a series of simplifying assumptions regarding the initiation and propagation of the events, necessitated by the complexity of the processes involved and a lack of data in these remote environments. Our method performs reasonably in two of the studied Himalayan catchments. Certain limitations in the performance of the method are apparent in one of the studied catchments. A better understanding of the underlying processes may help in coming up with more accurate paramterisations of the weights assigned to the chain of events. However, the presented method may be considered a starting point to quantify increasingly unstable ice on high and steep slopes to hydropower infrastructures in Himalayan catchments.
Fraud Detection by Using Deep Learning in Mining the Information Technology for Artificial and Business Intelligence
Authors: Shahzadi Shabnam , Shahzad Usaman , Emam Walid , Tashkandy Yusra , Iftikhar Soofia
Published: July 2023

Deep learning with the Artificial Intelligence allows systems to cluster data and deliver results with incredible accuracy. Data mining and deep learning usually come together in business intelligence protocols with little to no human intervention to optimize data-driven decision-making. Business intelligence is a part of information technology that manages today’s business world. Whereas, globally, financial institutions use deep learning with business intelligence to control money laundering. Hence we combined deep learning famous algorithms with data mining for business intelligence to boost efficiency. Our study mainly focuses Graph Neural Network and Autoencoders Models two screwdrivers to process massive amounts of data for improving the visibility and transparency within all aspects of businesses. Through the spread of risk across transactions, we further model the fraud behaviors. In our research work we use Graph Neural Network and Autoencoder for fraud and anomaly detection in credit cards. The results of our study is useful in aid financial organizations, especially banks to achieving an adequate understanding of deep learning with business intelligence. In our study we take banks as a case study which assists banking system to determine the gap between current operational methods and emerging procedures that utilize deep learning and business intelligence to detect fraud. In order to detect credit card fraud, we define the problem as a semi-supervised node classification job and describe credit card behaviors as a temporal transaction graph. By using brand new attribute and driven temporal graph neural network we can detect credit card fraud. In our paper we use Python and ProM software to simulate for the analysis purpose to boost the efficiency. At the end we conclude that deep learning with business intelligence offers feasible explanations for the various business domains and by using artificial intelligence with deep learning in business intelligence we can achieve our targets more efficiently.
A Study on the Spatial Linkage of Green Total Factor Productivity in Cities Along the Shanghai-Nanjing-Hangzhou High-speed Railway of China Based on SNA
Authors: Chen Haisheng , Shen Manhong
Published: July 2023

The Shanghai-Nanjing-Hangzhou high-speed railway is an important facility for the high-quality integrated development of the Yangtze River Delta. Based on the data of cities along the route in 2006, 2012 and 2020, Social Network Analysis (SNA) was used to analyse the spatial divergence and Based on the data of cities along the route in 2006, 2012 and 2020, Social Network Analysis (SNA) was used to analyse the spatial divergence and evolution structure of green total factor productivity (GTFP) of cities along the Shanghai-Nanjing-Hangzhou high-speed railway. that from 2006 to 2020, the GTFP linkages of cities along the Shanghai-Nanjing-Hangzhou high-speed railway have been increasing, and a network The study confirms that from 2006 to 2020, the GTFP linkages of cities along the Shanghai-Nanjing-Hangzhou high-speed railway have been increasing, and a network structure of green economic efficiency has gradually formed in nine cities; among them, Shanghai and Suzhou have the strongest radiating capacity, The green total factor productivity of cities along the The green total factor productivity of cities along the Shanghai-Nanjing-Hangzhou High-speed Railway has experienced an evolutionary path from monocentric to polycentric, basically forming a positive The cohesive subgroups of cities along the route have a certain degree of self-stability, and the cohesive The cohesive subgroups of cities along the route have a certain degree of self-stability, and the cohesive subgroups, mainly in the southern Jiangsu cities of Suzhou, Wuxi and Zhenjiang, are closely linked to each other in terms of green total factor productivity. Accordingly, suggestions are made to accelerate the development of green innovation in cities along the Shanghai-Nanjing-Hangzhou Accordingly, suggestions are made to accelerate the development of green innovation in cities along the Shanghai-Nanjing-Hangzhou high-speed railway.
Tithonia diversifolia Extract as An Eco-friendly, High-temperature Corrosion Inhibitor for 304 Stainless Steel in Acidic Solution: Experimental and Quantum Chemical Studies
Authors: Madurani Kartika A. , Firdausi Soraya , Harmami Harmami , Ulfin Ita , Nazareth Eviyanti , Shinci Erika , Sari Shaimah Rinda , Tominaga Masato , Kurniawan Fredy
Published: July 2023

In the present work, Tithonia diversifolia (Hemsl) A. Gray leaf extract (TDLE) was utilized as an eco-friendly and high-temperature corrosion inhibitor for 304 stainless steel (SS) in 1 M HCl. The performance of TDLE was studied electrochemically using potentiodynamic polarization and electrochemical impedance spectroscopy techniques. The surface of the metal was characterized using scanning electron microscopy (SEM). The quantum chemical method was also studied to understand the inhibition process. Leaves were extracted with demineralized water at 90°C. The adsorption behavior of TDLE best matches Langmuir's adsorption isotherm. The isotherm assumed that the adsorbed species occupies only one surface site to form a monolayer of inhibitor on the metal surface with no interactions from other adsorbed species. The corrosion inhibition efficiency increases with solution temperature, reaching 98.48% at 65°C in the presence of 3.5 g/L TDLE. SEM images show significant improvement of the 304 SS surface with TDLE. A quantum chemical study indicates that methyl 3.5-dicaffeoyl quinate is the most active inhibitor in TDLE.
Year-to-year variations have a more impact on leaf litter breakdown than the presence or absence of riparian vegetation in highland grasslands streams
Authors: Cararo Emanuel Rampanelli , Rezende Renan de Souza
Published: July 2023

Context
Highland grasslands are poorly studied landscapes, understanding how the ecological process of leaf litter breakdown works in these ecosystems is crucial for their management and conservation.
Objectives
The study aims to examine the importance of spatial and temporal heterogeneity on leaf litter breakdown and macroinvertebrate composition in highland grassland streams.
Methods
We conducted a three-year experiment to examine leaf litter breakdown in two different systems: one with riparian vegetation and one without riparian vegetation. The experiment took place during the same season each year, and we assessed both biotic and abiotic parameters in each year.
Results
Leaf breakdown in streams showed no significant differences in remaining mass between riparian systems and their interaction with years. However, significant differences were observed between the years. Macroinvertebrate richness, density, and shredder density did not vary significantly among years and riparian systems, but there was a significant interaction between these factors for total density and scraper density.
Conclusions
This study emphasizes the importance of temporal dynamics in leaf litter decomposition and invertebrate community composition in highland grassland streams, with year-to-year variations having a greater influence than the presence of riparian vegetation, highlighting the need to understand these mechanisms for effective management and conservation.
Development of a Secure Authentication System Using 5G for Smart Transportation System and Road Safety
Authors: singh garima
Published: July 2023

The Internet of Vehicular Things (IoVT) field is expanding rapidly through the application of advanced technologies that enable the connection of vehicles, infrastructure , and other entities to the Internet. In addition to generating valuable data-driven insights, this development offers many advantages, such as enhancing safety, efficiency, convenience, and delivering personalized services. IoVT data is sensitive and requires secure storage and transmission, and if this information falls into the wrong hands, it could be misused for malicious purposes such as theft, fraud, or stalking. An unauthorized access to IoVT data has the potential to jeopardize the safety and security of vehicles and their passengers. Therefore, it is vital to establish a robust security mechanism to guarantee secure communication, ensure vehicle safety and integrity, facilitate efficient traffic management, provide emergency services, protect privacy and data, prevent unauthorized access, and to ensure compliance with regulations. To address the security requirements of IoVT, this research presents an innovative group-based authentication & key agreement protocol designed explicitly for IoVT, and strives to achieve the core security objectives within the 5G networks. The proposed protocol successfully fulfills crucial security objectives in IoVT, including subscriber privacy, key confirmation , authentication & key agreement, perfect forward/backward key secrecy, and session unlinkability. The security claims of the protocol underwent thorough examination using the AVISPA tool and BAN logic, confirming its ability to withstand diverse cryptographic attacks. Additionally, a mathematical investigation has affirmed the protocol’s suitability for IoVT devices, as it successfully achieves its objectives while minimizing signaling overhead, bandwidth usage, and computational burden.
Unveiling the Performance Dynamics and Stability of Artificial Neural Network Models in Reinforcement Learning: A Comprehensive Examination of ANN Size Influence
Authors: Kaloev Martin , Krastev Georgi
Published: July 2023

This study assesses the performance and stability of artificial neural network (ANN) models in reinforcement learning (RL) simulations. Various simulations are conducted using multiple environments to examine the impact of ANN size on RL performance. Evaluation factors include rewards per episode, average reward stability, highest reward attainment, outliers analysis, action count, computation/training time. The findings reveal interesting patterns in RL model performance. Intermediate ANN sizes demonstrate optimal performance, indicating that neither excessively large nor small networks yield the best results. Smaller ANN models outperform larger ones in simulations with consistently high rewards for each action. Conversely, larger ANN models excel in simulations with sparse and infrequent rewards, benefiting from their stability. Small ANN models are advantageous in simulations with consistent action patterns, while larger models struggle to generalize effectively in low-reward situations. Supporting the hypothesis, the study confirms that using small ANN models with sufficient computing power to remember recurring patterns is superior to generalizing with larger ANN models. This research enhances our understanding of RL model dynamics and provides insights for selecting appropriate ANN sizes based on simulation characteristics.
Case Report and literature review: Primary Nasal Cavity NUT Carcinoma
Authors: Zhang Cai-Hong , Tan Jing-Qian , Lin Jing-Wen , Zhang Shi-Wen , Wei Lai , Wang Zhi-Qiang , Sun Jie
Published: July 2023

Nuclear proteins of the testis (NUT) carcinoma resulting from t(15,19) rearrangement is a rare and aggressive carcinoma, which is characterized by primary occur in the midline of body, especially in the upper aerodigestive tract. Due to its poor report and incidence, it is difficult but significant for clinicians to diagnose during patients first visit. Up to now, there has been lack of a standard therapeutic regimen of this lethal disease and a multimodal approach with systemic chemotherapy, surgery and radiation therapy is adopted in clinical practice. Recently, new procedures like BET-inhibition also have been investigated in clinical trials. In this study, we report a case of primary nasal cavity NUT midline carcinoma in a 23-year-old man who had a chief complaint of eye pain and exophthalmos in the left. The initial pathological examination suggested malignant tumor but difficult to make a definite diagnosis. Given the tumor’s wide invasion of sinuses of the whole group, the eye in the left and anterior fossa, we suggest resection and chemotherapy. At present, the patient died 3 months after diagnosis of NUT carcinoma. The present paper reviews the clinical characteristics of NUT carcinoma, the current methods of diagnosis, and treatment of this rare and aggressive disease.
Successful treatment of severe transplant-mediated alloimmune thrombocytopenia with early multiple plasmapheresis and thrombopoietin: a case report and a review of the literature
Authors: kang xieyan , xiao zhenghui
Published: July 2023

Till date, there is no standard treatment protocol for transplant-mediated alloimmune thrombocytopenia (TMAT). Herein, we report a case of TMAT successfully treated with repeated plasmapheresis and thrombopoietin in the early post-operative period of liver transplantation, and review previously published cases. The liver donor had died of intracranial and multiple organ hemorrhage due to immune thrombocytopenic purpura. Post transplantation, the recipient’s platelet count decreased to 2 x 109/L on postoperative day 1, and anti-platelet antibodies seroconverted from negative to positive. Due to the lack of response to drug treatment, three doses of plasmapheresis in conjunction with thrombopoietin therapy were administered in the early stages of conventional drug treatment. Anti-platelet antibodies reverted to negative, and the platelet count returned to a stable level within a few days. Therefore, for severely refractory transplantation-mediated alloimmune thrombocytopenia, early repeated plasmapheresis combined with thrombopoietin therapy should be considered if there is no rapid response to drug treatment and seroconversion of anti-platelet antibodies occurs from negative to positive.