bluuebunny/crossref_metadata_2025_split huggingface dataset:
Utilization of Two Cross Two Switch for Bitonic Sorting Circuit
Authors: Bhattacharjee Subhasree , Sarkar Soumyadip , Das Kunal , Sadhu Arindam , Sarkar Bikramjit 
Published: September 2024

Background:
The synthesis of reversible logic has gained prominence as a crucial research
area, particularly in the context of post-CMOS computing devices, notably quantum computing.

Objective:
To implement the bitonic sorting circuit, 2x2 switch, is used. The overarching objective
of implementing a reversible sorting circuit is to mitigate power consumption while promising secure
communication. The successful implementation of the bitonic sorting circuit utilizing the proposed
2x2 switch is validated through simulations conducted in IBM Qiskit.

Methods:
This study begins by employing the control swap gate to implement a 2x2 switch, aimed
at enabling concurrent computing operations within multiprocessor systems to enhance throughput.
Subsequently, following the successful implementation of the 2x2 switch, the study proceeds to design
a bitonic sorting circuit.

Results:
Bitonic sort using a 2x2 switch on the IBM Quantum Experience (IBMQ) platform via the
QISKit SDK in Python 3.6. Specifically, Qiskit v0.29.0 is utilized, with OpenQASM. OpenQASM
serves as the quantum assembly and instruction language.

Conclusion:
This work presents a methodology for constructing a 2x2 switch, utilizing a reversible
control swap gate as its core component. Additionally, it demonstrates the intricate development
and implementation of a bitonic sorting circuit, capitalizing on this innovative switch architecture.
Detection of Intrusions in Internet of Things Based Deep Auto Encoder Using Deepnets
Authors: Atlas LGodlin , Shiny KV , K P Arjun , N M Sreenarayanan , Nithiya J Lethisia 
Published: September 2024

Aims and background:
As a communication paradigm that bridges the gap between virtual
and physical spaces, the Internet of Things (IoT) has quickly gained popularity in recent years.
In order to supplement the provisions made by security protocols, a network-based intrusion detection
system (IDS) has emerged as a standard component of network architecture. IDSs monitor and
detect cyber threats continuously throughout the network lifetime.

Objectives and Methods:
The main contribution is the development of a two-level neural network
model that optimizes the number of neurons and features in the hidden layers, achieving superior
accuracy in anomaly detection. Its include the utilization of deep anomaly detection (DAD) to protect
networks from unknown threats without requiring rule modifications. The research also emphasizes
the importance of feature extraction and selection, employing parallel deep models for
segmenting attacks. The proposed supervised technique enables simultaneous feature selection using
parallel models, enhancing the accuracy of IDS designs. A novel hybrid technique combining
Deep Auto Encoders (DAEs) and DeepNets is proposed for intrusion detection.

Results:
The research present a data preprocessing stage, converting symbolic and quantitative data
into real-valued vectors and normalizing them. Feature extraction involves utilizing DAEs to learn
concise representations of datasets. The deep network architecture, including multilayer perceptrons
and activation functions, is employed for feature extraction and classification. The proposed
approach utilizes a DeepNets in the final stage in order to improve the rate of 97% accurate outputs
and make it possible to achieve greatly accelerated execution durations.

Conclusion:
When measured against the performances of other approaches to the extraction of features,
the performance of the deep network platform is superior.
The Effect of High Flow Nasal Cannula (HFNC) on the Use of Ventilators in Severe to Critical COVID-19 Patients
Authors: Firdausintika Lavely Rakhmatan , Syafaah Irmi , Airlangga Prananda Surya , Kriswidyatomo Prihatma , Setiawan Herley Windo , Marhana Isnin Anang 
Published: September 2024

Background:
Since the Coronavirus Disease 2019 (COVID-19) outbreak, clinicians have
been seeking alternative therapies to improve patient conditions due to limited ventilator availability.
The use of high-flow nasal cannula (HFNC) remains a debate regarding its potential to reduce intubation
rates or worsen patient conditions.

Objective:
The objective of this study was to analyze the effect of HFNC on ventilator usage in severe
to critical COVID-19 patients.

Methods:
This is an observational analytical study with a retrospective cohort design using medical
record data of patients with severe to critical COVID-19 at Airlangga University Hospital from
March, 2021 to August, 2021.

Results:
Out of 137 data, no significant relationship was found between the use of HFNC and ventilator
usage in severe to critical COVID-19 patients (p-value=0.337). The difference in oxygen therapy
has a significant impact on patient survival rates and duration of patient care (p-value=<0.001).

Conclusion:
This study included 137 research samples: 69 males and 68 females, with an average
age of 52.3 years, the majority presenting with diabetes and hypertension. Common symptoms included
dyspnea, cough, and fever. Physical examination showed an average heart rate (HR) of 104
bpm, median respiratory rate (RR) of 30 breaths/minute, median blood oxygen level (SpO2) of 86%,
average systolic blood pressure (SBP) of 138 mmHg, median diastolic blood pressure (DBP) of 80
mmHg, and median body temperature of 37.5 °C. The median duration of patient care in this study
was 8 days. No significant influence was reported between the use of HFNC and ventilator usage in
severe to critical COVID-19 patients. A significant impact of HFNC administration on patient survival
rates and duration of patient care was also reported.
Examining the Popularity, Content, and Intersections With the Substance Abuse and Mental Health Services Administration’s Definition of Recovery in a Nonclinical Online Cannabis Cessation Community: Infodemiology Study of Reddit Posts
Authors: Thulin Elyse J , Walton Maureen A , Bonar Erin E , Fernandez Anne 
Published: September 2024

Background
Cannabis consumption has increased in recent years, as has cannabis use disorder. While researchers have explored public online community discussions of active cannabis use, less is known about the popularity and content of publicly available online communities intended to support cannabis cessation.

Objective
This study aims to examine the level of engagement and dominant content of an online community for cannabis cessation through 3 specific aims. First, we examine the use of a subreddit cannabis cessation community (r/leaves) over time to evaluate the popularity of this type of resource for individuals who want to stop using cannabis. Second, we examine the content of posts in the community to identify popular topics related to cessation. Third, we compare the thematic findings relative to the 4 domains of recovery defined by the Substance Abuse and Mental Health Services Administration (SAMHSA). By examining these 3 gaps, we take the initial steps toward understanding the experiences being shared online among individuals interested in cannabis cessation and compare them with the principles outlined in the SAMHSA definition of recovery.

Methods
Using the Pushshift application programming interface, we collected the count of posts by year between 2011 and 2021 and the narrative of the 100 posts with the most comments per year in a popular cannabis cessation–focused subreddit (r/leaves). A linear model and a nonlinear model were compared to evaluate change in the number of posts by year. Mixed natural language processing and qualitative analyses were applied to identify top terms, phrases, and themes present in posts over time. Overlap between themes and the 4 SAMHSA domains of recovery (health, purpose, community, and home) were examined.

Results
The number of annual posts in r/leaves increased from 420 in 2011 to 34,841 in 2021 (83-fold increase), with exponential growth since 2018. The term that was the most common across posts was “smoke” (2019 posts). Five major themes were identified, and a narrative arc was represented, from motivations and perceived benefits of cannabis use to the negative consequences of use, strategies to change behaviors, and the positive and negative consequences of change. There was substantial overlap between these 5 themes and 3 of SAMHSA’s 4 domains of recovery: health, purpose, and community. However, the domain of home was less commonly identified.

Conclusions
Engagement in this online cannabis support community appears to be increasing. Individuals using this forum discussed several topics, including multiple aspects of recovery defined by the SAMHSA. Online communities, such as this one may, serve as an important pathway for individuals seeking to reduce or cease their consumption of cannabis.
Participant Contributions to Person-Generated Health Data Research Using Mobile Devices: Scoping Review
Authors: Song Shanshan , Ashton Micaela , Yoo Rebecca Hahn , Lkhagvajav Zoljargal , Wright Robert , Mathews Debra J H , Taylor Casey Overby 
Published: September 2024

Background
Mobile devices offer an emerging opportunity for research participants to contribute person-generated health data (PGHD). There is little guidance, however, on how to best report findings from studies leveraging those data. Thus, there is a need to characterize current reporting practices so as to better understand the potential implications for producing reproducible results.

Objective
The primary objective of this scoping review was to characterize publications’ reporting practices for research that collects PGHD using mobile devices.

Methods
We comprehensively searched PubMed and screened the results. Qualifying publications were classified according to 6 dimensions—1 covering key bibliographic details (for all articles) and 5 covering reporting criteria considered necessary for reproducible and responsible research (ie, “participant,” “data,” “device,” “study,” and “ethics,” for original research). For each of the 5 reporting dimensions, we also assessed reporting completeness.

Results
Out of 3602 publications screened, 100 were included in this review. We observed a rapid increase in all publications from 2016 to 2021, with the largest contribution from US authors, with 1 exception, review articles. Few original research publications used crowdsourcing platforms (7%, 3/45). Among the original research publications that reported device ownership, most (75%, 21/28) reported using participant-owned devices for data collection (ie, a Bring-Your-Own-Device [BYOD] strategy). A significant deficiency in reporting completeness was observed for the “data” and “ethics” dimensions (5 reporting factors were missing in over half of the research publications). Reporting completeness for data ownership and participants’ access to data after contribution worsened over time.

Conclusions
Our work depicts the reporting practices in publications about research involving PGHD from mobile devices. We found that very few papers reported crowdsourcing platforms for data collection. BYOD strategies are increasingly popular; this creates an opportunity for improved mechanisms to transfer data from device owners to researchers on crowdsourcing platforms. Given substantial reporting deficiencies, we recommend reaching a consensus on best practices for research collecting PGHD from mobile devices. Drawing from the 5 reporting dimensions in this scoping review, we share our recommendations and justifications for 9 items. These items require improved reporting to enhance data representativeness and quality and empower participants.
Medical information retrieval systems in diabetes management
Authors: Krytskyy T.I. , Pasyechko N.V. , Naumova L.V. 
Published: September 2024

Background. Medical information retrieval is becoming more crucial as a way to support decision-making and improve access to knowledge and information for doctors and other specialists in the field. By the incorporation of medical domain knowledge for relevance evaluation, integrating the medical knowledge bases has the potential to enhance information retrieval performance. The system uses various search algorithms and techniques to provide accurate and comprehensive results to medical professionals and researchers. Medical information retrieval systems are particularly useful for healthcare providers who need to stay up-to-date with the latest medical research, guidelines, and treatment options. The purpose was to study the use of medical information systems to improve the quality of medical care for patients with diabetes. Materials and methods. To assess the relevance of research using information systems in the SCOPUS database, an analytical query was formulated: ALL (“Diabetes”) AND (ALL (“Constant monitoring of glucose”) OR ALL (“Coefficient of variability of glucose”) OR ALL (“Time in the given target range”) OR ALL (“Time above range”) OR ALL (“Time below range”) OR ALL (“Insulin pump”). A search query on this topic found 17,532 scientific papers from 1974 to 2023. Results. The largest number of literary sources on the researched topic falls on 2014–2023. During this period, 10,531 works were published. In 2014, 728 papers were published, and in 2023 — 1,499 papers, which confirms the constant growth of interest and relevance in improving medical care for patients with diabetes worldwide. Since the statistics show a steady annual increase in the number of patients with diabetes, the search for effective methods of control and treatment of this nosology is extremely urgent. Conclusions. The implementation of medical information systems in diabetology has significant potential and can significantly improve the control and management of the disease, increase not only the duration, but also the quality of life of patients and optimize the work of medical personnel.
Association between diabetes distress and sociodemographic factors among adults in Ukraine
Authors: Pankiv V.I. , Yuzvenko T.Yu. , Vasiuk V.L. , Nykytiuk L.A. , Yuzvenko V.S. , Mikulets L.V. 
Published: September 2024

Background. Diabetes-related distress (DRD) is a psychological syndrome with worsened prognosis in uncontrolled diabetic patients. Risk of DRD progression is increased with uncontrolled diabetes, development of complications, concomitant medical conditions, and complicated treatment regimens. In addition to the di­sease burden, there are other factors that increase the risk of DRD such as lower level of education, younger age, se­dentary lifestyle, unhealthy diet, and poor self-care behavior. The current study purposed to assess the factors contributing to DRD among the Ukrainian population using the Diabetes Distress Scale (DDS-17) score and its sub-scores. Materials and methods. A cross-sectional analysis was conducted between January and June 2024 enrolling 125 diabetic patients from five Ukrainian regions. The survey included two parts: the first section gathe­red sociodemographic data and the second one focused on assessing the DDS-17 score. Results. Participants aged 46 years old and above had higher emotional distress compared to younger patients. Those with a primary educational level showed significantly higher emotional distress than those with a secondary level of education. Participants who were treated with both insulin and non-insulin medications or had a diastolic blood pressure of more than 90 mm Hg showed significant moderate to high distress. Participants who lived in rural areas showed higher distress. Obese and overweight people had significant moderate to high distress. The association between medical history with total distress showed that participants with glycated hemoglobin (HbA1c) of more than 8.0 followed by those who had HbA1c between 7.1 and 8.0 showed moderate to high total distress. Conclusions. It is concluded that the prevalence of DRD is high in Ukraine, more common among rural residents, and among participants with high HbA1c, low educational level and those on complex treatment regimens. Screening for DRD and providing better support can optimize clinical outcomes.
Single nucleotide polymorphism of AGT rs699 in the pathogenesis of hypertension and ACE inhibitors response: a narrative review
Authors: Hartienah Septiayu Dwi , Ikawati Muthi' , Zullies Ikawati  
Published: September 2024

Hypertension is a chronic cardiovascular disease that affects more than one billion people in the world. Angiotensinogen in the renin-angiotensin-aldosterone system (RAAS) is the main precursor encoded by angiotensinogen (AGT) gene and plays an important role in the development of hypertension. Single nucleotide polymorphism (SNP) of AGT gene is thought related to the pathogenesis of hypertension and angiotensinogen levels in plasma that may affect response to ACE inhibitors. This article reviewed the association of SNP AGT rs699 with the pathogenesis of hypertension and ACE inhibitors response. A total of 14 articles published from 1995 to 2023 were collected from databases including NCBI, Google Scholar, PubMed and Science Direct. Several studies in different populations have been conducted and showed various results. The T allele or TT genotype of AGT rs699 was associated in the pathogenesis of hypertension. However, the association between AGT rs699 and ACE inhibitor response shows inconsistent results, thus further research is needed.
Kappa Casein in Farm Animals: A Review
Authors: Ninan Jacob , Vadodaria V. P. 
Published: September 2024

A review of the results reported by different research workers has been compiled; with the aim to focus on various aspects encompassing the application of the important areas of research work on milk kappa casein. The major whey proteins in cow milk are alpha-lactalbumin and beta-lactoglobulin. Casein is a slow-digesting protein in contrast to whey protein that is rapid digesting. Milk Casein is of 3 or 4 types and each type has a similar structure but distinct molecules with different compositions, genetic variations, and functional properties. The main components of the cow milk casein complex are αs1 (CSN1S1), αs2 (CSN1S2), β (CSN2), and κ-caseins (CSN3) with each one of them occurring in two or more variants. Transgenic technologies could be used to alter milk composition in cows. Kappa-casein has been associated with differences in milk yield, composition and processing. Research work on casein has been attempted in different species (cow, buffalo, sheep, goat, horse, camel), yet it needs be extended to the remaining species and breeds of animals. The accurate and early identification of milk protein genotypes can have a direct impact on reviewing and developing dairy cattle breeding programs, to achieve the target of increasing production of milk and quality of its constituents on an economic footing. The review details the applied aspects of casein, classification and structure, polymorphism of kappa casein gene in different species of animals.
Feministic Shades with respect to Shobha De’s Socialite Evenings
Authors: Chansoria Professor Alok , Syed Dr. Shahewar 
Published: September 2024

Feminism as a movement has had a tremendous impact on almost all the genres of literature. It has enveloped people at large; especially women or to be more precise, women of the 21st century. It is a matter of discussion whether the influence it has exercised can be categorised as positive or negative. But for sure, the transformation with respect to the gender roles in society is notable. Women of today have not only become aware of their rights but are also well informed about the ample opportunities they have in every field. They have empowered and liberated themselves from the age old taboos and shackles.
Shobha De, a journalist, short story writer and a novelist of recognition like the other inspiring female writers, has also carved a niche for herself in the area of feminist writings. She is famous for her bold style of writings. Her novels are a study in feminism and portray women with liberated mindset. She is realistic and frank in her character portrayal and is often misunderstood as being vulgar in her expressions. In a country like India, when the talks of sex and romance were considered as embarrassing, Shobha De became one of the pioneers of presentation of open expressions in matters related to women, sex and eroticism. It will not be incorrect to state that feminism is a continuous thought which is manifest in almost all the writings of Shobha De.
Socialite Evenings, presents the life of the protagonist, Karuna, who revolts from the set norms and customs, held by the society in search of her identity. Though Shobha De has succeeded in the presentation of her viewpoint related to the socialite women of Bombay through the character of Karuna, but Karuna, in our opinion cannot be accepted to be an archetype of women liberation, emancipation and independence. The location of Indian woman cannot be discordant with the Indian cultural traditions and important necessary customs.
Edukasi Pengenalan, Pemanfaatan dan Pengelolaan Tanaman Obat pada Siswa Kelas VI Sekolah Dasar
Authors: Setiawati Agustina 
Published: September 2024

Pemanfaatan tanaman obat telah dikenal secara empiris dapat membantu mengobati dan meringankan gejala penyakit di masyarakat Indonesia. Pemanfaatan ini belum optimal disebabkan oleh karena kurangnya edukasi dan pengenalan tanaman obat. Pada kegiatan ini, dilakukan edukasi pada siswa SD kelas VI sejumlah 38 anak. Edukasi ini dilakukan secara pemaparan materi mengenai tanaman obat Indonesia dan pengelolaannya, dilanjutkan dengan pembelajaran langsung dengan mengunjungi kebun obat, dan de-briefing peneguhan materi yang didapatkan oleh para siswa. Selain itu, para siswa diperkenalkan proses pembuatan minuman herbal dari bunga telang. Evaluasi keberhasilan kegiatan ini dilakukan dengan peningkatan skor test, yaitu 32,37 ± 13.24 sebelum edukasi, menjadi 66,05 ± 21,50 setelah edukasi. Dengan demikian, kegiatan ini berhasil meningkatkan pengetahuan para siswa mengenai tanaman obat Indonesia.
Long-term results of induction chemotherapy for non-operable esophageal squamous cell carcinoma followed by concurrent chemoradiotherapy: a single-centre experience
Authors: Xiang Geng , Chai Guangjin , Lyu Bo , Li Zhaohui , Yin Yutian , Wang Bin , Pan Yanglin , Shi Mei , Zhao Lina 
Published: September 2024

Abstract

Background
This study aimed to investigate the long-term clinical outcomes and toxicities of induction chemotherapy (IC) followed by concurrent chemoradiotherapy (CCRT) vs. CCRT alone in patients with non-operable esophageal squamous cell carcinoma (ESCC).

Patients and methods
Between 2008 and 2022, 271 ESCC patients who received definitive CCRT based on intensity modulated radiation therapy (IMRT)/volumetric modulated arc therapy (VMAT) were enrolled. Through a propensity score-matched (PSM) method, 71 patients receiving IC and CCRT were matched 1:1 to patients who received CCRT alone. The Kaplan-Meier method and Cox proportional hazards model were applied to analyze survival and prognosis.

Results
The IC + CCRT group had no improvement in 5-year overall survival (OS) rate, recurrence-free survival (RFS) rate, and distant metastasis-free survival (DMFS) rate (all p > 0.05) compared with the CCRT group. The 5-year OS rate (65.6% vs. 17.6% vs. 29.3%, p < 0.001), RFS rate (65.6% vs. 17.6% vs. 26.9%, p < 0.001), and DMFS rate (62.5% vs. 10.3% vs. 27.2%, p < 0.001) of the IC good responders were significantly higher than that of the IC poor responders and CCRT group. Multivariate analysis revealed that total radiotherapy time (≥ 49 days) and stage III/IV were independent predictive factors of OS, RFS, and DMFS. No significant differences were observed in the rates of grade 3–4 toxicities between both groups.

Conclusions
Our results showed the addition of IC to CCRT was not superior to CCRT in unselected ESCC patients, while IC responders could benefit from this regime without an increase in toxicities.