bluuebunny/crossref_metadata_2025_split huggingface dataset:
HEGEMONI KEKUASAAN ANTONIO GRAMSCI DALAM CERPEN “SHARAHKH AL-QUBUR” KARYA KAHLIL GIBRAN
Authors: Junaidi Muhammad Mahbub 
Published: January 2023

Cerpen Sharahkh al-Qubur dalam antologi Al-arwah Al-mutamarridhah mengandung suatu hegemoni yang dilakukan oleh suatu pihak elit politis, terhadap beberapa kelompok yang didominasi. Hegemoni tersebut lebih dipengaruhi oleh ideologi-ideologi kaum penguasa di tengah-tengah masyarakat saat itu, sehingga cerpen ini membutuhkan pisau analisis hegemoni kekuasaan Antonio Gramsci untuk membedah isi dan kandungan yang menonjolkan sisi-sisi hegemoni yang ada. Penelitian ini bertujuan untuk mengungkapkan bentuk ideologi-ideologi tersebut beserta penjelasan terkait pengaruhnya pada kehidupan sosial masyarakat yang secara tidak sadar dikurung dalam hegemoni yang dibuat oleh kelompok penguasa. Penelitian ini merupakan sebuah penelitian literatur atau penelitian kepustakaan dengan objek cerpen Sharahkh al-Qubur dalam antologi Al-arwah Al-mutamarridhah. Sementara itu dalam menganalisis data, penulis menggunakan teknis analisis isi model aliran Miles dan Hubermen dengan beberapa langkah, diantaranya tahap reduksi data, tahap penyajian data, dan tahap penarikan kesimpulan. Hasil dari penelitian ini menunjukkan bahwa cerpen tersebut mengandung hegemoni integral atau menyeluruh berupa masyarakat yang terbawa ideologi penguasa membuat masyarakat masuk dalam politik dan dengan sendirinya akan memihak kepada keputusan sang raja, selain juga rajanya dikenal dengan tegas dan adil menegakkan supremasi aturan. Kedua, hegemoni decadent atau merosot berupa masyarakat seakan telah mengalami potensi disintegrasi dan masih mempertanyakan kemungkinan yang benar terjadi atau tidaknya terhadap kejadian seorang lelaki tua mencuri tepung hidangan suci yang terjadi saat keluarganya dalam keadaan kelaparan. Kesimpulan dari penelitian ini adalah hegemoni yang mendominasi dari ketiga hegemoni Gramsci yaitu hegemoni integral.
Tipologi Arsitektur Vernakular Melayu Uma Kabuong Limo di Kampung Pulau Belimbing, Kabupaten Kampar
Authors: Husaini Muhammad Arief Al , Hidayat Wahyu , Mashuri Mashuri , Kuswoyo Indra 
Published: January 2023

Title: Typology of Malay Vernacular Architecture Uma Kabuong Limo in Pulau Belimbing Village, Kampar District

One form of residential culture can be seen in the architecture as a residence for the people of Belimbing Island Village, Kampar regency. The house as a residential function always develops according to the needs and image of the owner, so changes in the Uma Kabuong Limo building are found. Uma Kabuong Limo can be categorized as vernacular architecture because Uma Kabuong Limo is a product and name that has existed for several generations with a development process that adapts the socio-cultural and cultural of the Malay community. The nature of this simplicity is not only a residential building but also becomes the identity of the community. Through the study of the architectural typology of Uma Kabuong Limo was studied through the approach of the computational model of heritage building information modeling (HBIM). This modeling is expected to get an in-depth and precise analysis to describe the typology process more accurately. This assessment process begins with field data observation, modeling, and discussion of building typologies. The Uma Kabuong Limo buildings observed are six buildings representing the distribution of facilities in The Belimbing Island Village. The findings were the existence of a slightly different basic shape equation in the kitchen. One of the buildings changed the shape of the roof, called the paranginan roof, a multi-storey roof. The more engravings and tidiness of home making depict, the higher the level of the social status of the building owner.
Assessment of change in forests land, carbon stock and carbon emissions of KPK, Pakistan for past three decades using geospatial techniques
Authors: Goheer Muhammad Arif , Fatima Laraib , Farah Humera , Hassan Sher Shah , Abbas Nazir 
Published: January 2023

Abstract
Reducing emissions from deforestation and forest degradation is a mechanism to cut down GHG emissions and protect the threatened forest ecosystems. Pakistan is suffering from high forest degradation and deforestation rates, but recent plantations under BTTAP have created a significant impact. This study was designed to identify the LULC changes, forest sequestration and emissions from forest degradation in the forest hub districts (Malakand, Mardan, Lower Dir and Upper Dir) of KPK, Pakistan using Landsat imageries. LULC changes were analyzed from 1990 to 2020. In addition, the amount of carbon sequestration and emissions from forest degradation were also calculated. Results of the analysis showed forest area reduction from 1990 to 2009, followed by a sharp increase in the next decade (2010–2020) by 56%. Around 836 km2 of land was found to be covered with forests during BTTAP. The net change was a 32% increase in forest land over three decades. The study offers important information which environment managers and decision-makers can utilize to encourage the plantation of trees and save existing forests in the country to combat climate change.
Can Brain-derived Neurotrophic Factor (BDNF) Mimetics be a Way Out for
Neurodegenerative Diseases?
Authors: Korkmaz Orhan Tansel 
Published: January 2023

Abstract:
Neurodegenerative diseases are chronic and progressive disease groups characterized by the decline
of neural transmission because of the loss of structure and function of neurons. Although there is currently no
effective treatment for neurodegenerative diseases, new treatment strategies need to be developed urgently.
Among neurotrophins, BDNF has been extensively investigated, and it has emerged as an important regulator
of synaptic plasticity, neuronal survival, and differentiation. Changes in BDNF levels and signaling pathways
have been identified in several neurodegenerative diseases. Moreover, promising results have been obtained for
BDNF in many experimental studies on animal models. In addition, BDNF serves as a crucial molecular target
for developing drugs to treat neurological diseases. However, several pharmacokinetic difficulties have limited
its use in clinical practice, such as its inability to cross the blood-brain barrier, short half-life, and potential adverse
effects. To avoid these difficulties, several approaches have been explored, but they have led to disappointing
results. One way to overcome the limitations of BDNF may be with mimetic molecules that can effectively
stimulate the receptors it has an affinity with and thus activates BDNF pathways. In this perspective article,
an evaluation of the efficacy of different BDNF mimetics against neurodegenerative diseases was made.
Artificial Intelligence in Breast Cancer: A Systematic Review on PET
Imaging Clinical Applications
Authors: Alongi Pierpaolo , Rovera Guido , Stracuzzi Federica , Popescu Cristina Elena , Minutoli Fabio , Arnone Gaspare , Baldari Sergio , Deandreis Désirée , Caobelli Federico 
Published: January 2023

Background:
18F-FDG PET/CT imaging represents the most important functional imaging
method in oncology. European Society of Medical Oncology and the National Comprehensive Cancer
Network guidelines defined a crucial role of 18F-FDG PET/CT imaging for local/locally advanced
breast cancer. The application of artificial intelligence on PET images might potentially contributes in
the field of precision medicine.

Objective:
This review aims to summarize the clinical indications and limitations of PET imaging for
comprehensive artificial intelligence in relation to breast cancer subtype, hormone receptor status, proliferation
rate, and lymphonodal (LN)/distant metastatic spread, based on recent literature.

Methods:
A literature search of the Pubmed/Scopus/Google Scholar/Cochrane/EMBASE databases
was carried out, searching for articles on the use of artificial intelligence and PET in breast tumors. The
search was updated from January 2010 to October 2021 and was limited to original articles published
in English and about humans. A combination of the search terms "artificial intelligence", “breast cancer”,
“breast tumor”, “PET”, “Positron emission tomography”, “PET/CT”, “PET/MRI”, “radiomic”,"
texture analysis", “machine learning”, “deep learning” was used.

Results:
Twenty-three articles were selected following the PRISMA criteria from 139 records obtained
from the Pubmed/Scopus/Google Scholar/Cochrane/EMBASE databases according to our research
strategy. The QUADAS of 30 full-text articles assessed reported seven articles that were excluded for
not being relevant to population and outcomes and/or for lower level of evidence. The majority of papers
were at low risk of bias and applicability. The articles were divided per topic, such as the value of
PET in the staging and re-staging of breast cancer patients, including new radiopharmaceuticals and
simultaneous PET/MRI.

Conclusion:
Despite the current role of AI in this field remains still undefined, several applications for
PET/CT imaging are under development, with some preliminary interesting results particularly focused
on the staging phase that might be clinically translated after further validation studies.
The Comparative Genomics and Network Analysis of eNOS by Using
Different Bioinformatics Approaches
Authors: Banerjee Arpita , Singh Randeep , Arora Nymphaea , Arora Tania , Prashar Vikash , Godara Priya , Sharma Arti , Changotra Harish , Parkash Jyoti 
Published: January 2023

Background:
Nitric oxide synthase (NOS) is an enzyme that catalyzes the synthesis of
nitric oxide (NO) from L-arginine. It has three isoforms- (i) neuronal NOS (nNOS or NOS1), which
participates in neural transmission; (ii) inducible NOS (iNOS or NOS2), which produces NO in
macrophages; and (iii) endothelial NOS (eNOS or NOS3) that regulates blood pressure. The eNOS is
mainly expressed in blood vessels and is a crucial regulator of endothelial homeostasis.

Objective:
The present study aimed to unravel the role of eNOS in different signaling pathways and its
involvement as a therapeutic target in various neurodegenerative disorders.

Methods:
This study used various in silico methods for comprehensive genomic analysis of eNOS in
16 organisms from 7 different phyla. Prediction of conserved domains and evolutionary relationship
for eNOS among 16 organisms was made. Various physical and chemical parameters, signal peptides,
and transmembrane regions that helped understand its functional relevance were also studied.

Results:
Three transcription factor binding sites (TFBS), i.e., CP2, AR, and LDSPOLYA, were
identified in human eNOS, while ATF1, T3R, and STAT1 were predicted in mouse eNOS.
Transcription factors were identified for each regulatory region in human as well as mouse eNOS.
eNOS protein was predicted to harbor 14 different post-translational modification (PTM) sites, most
of which have phosphorylation (serine followed by threonine and tyrosine phosphorylation) followed
by sumoylation and palmitoylation among all the organisms used in the current study. However,
human eNOS has a relatively lower number of PTM sites for tyrosine phosphorylation.

Conclusion:
Structures of eNOS isoform, consistent with available biochemical and structural data,
provide substantial insight into the NOS conformational changes, which give in-depth knowledge of
the mechanism of eNOS, and will be helpful for better understanding the role of eNOS in
pathophysiology.
A Novel Approach to Assess Weekly Self-efficacy for Meeting Personalized Physical Activity Goals Via a Cellphone: 12-Week Longitudinal Study
Authors: Oh Yoo Jung , Hoffmann Thomas J , Fukuoka Yoshimi 
Published: January 2023

Background
Despite the health benefits of engaging in regular physical activity (PA), the majority of American adults do not meet the PA guidelines for aerobic and muscle-strengthening activities. Self-efficacy, the belief that one can execute specific actions, has been suggested to be a strong determinant of PA behaviors. With the increasing availability of digital technologies, collecting longitudinal real-time self-efficacy and PA data has become feasible. However, evidence in longitudinal real-time assessment of self-efficacy in relation to objectively measured PA is scarce.

Objective
This study aimed to examine a novel approach to measure individuals' real-time weekly self-efficacy in response to their personalized PA goals and performance over the 12-week intervention period in community-dwelling women who were not meeting PA guidelines.

Methods
In this secondary data analysis, 140 women who received a 12-week PA intervention were asked to report their real-time weekly self-efficacy via a study mobile app. PA (daily step counts) was measured by an accelerometer every day for 12 weeks. Participants rated their self-efficacy on meeting PA goals (ranging from “not confident” to “very confident”) at the end of each week via a mobile app. We used a logistic mixed model to examine the association between weekly self-efficacy and weekly step goal success, controlling for age, BMI, self-reported White race, having a college education or higher, being married, and being employed.

Results
The mean age was 52.7 (SD 11.5, range 25-68) years. Descriptive analyses showed the dynamics of real-time weekly self-efficacy on meeting PA goals and weekly step goal success. The majority (74.4%) of participants reported being confident in the first week, whereas less than half of them (46.4%) reported confidence in the final week of the intervention. Participants who met weekly step goals were 4.41 times more likely to be confident about achieving the following week's step goals than those who did not meet weekly step goals (adjusted odds ratio 4.41; 95% CI 2.59-7.50; P<.001). Additional analysis revealed that participants who were confident about meeting the following week’s step goals were 2.07 times more likely to meet their weekly step goals in the following week (adjusted odds ratio 2.07; 95% CI 1.16-3.70; P=.01). The significant bidirectional association between real-time self-efficacy and weekly step goal success was confirmed in a series of sensitivity analyses.

Conclusions
This study demonstrates the potential utility of a novel approach to examine self-efficacy in real time for analysis of self-efficacy in conjunction with objectively measured PA. Discovering the dynamic patterns and changes in weekly self-efficacy on meeting PA goals may aid in designing a personalized PA intervention. Evaluation of this novel approach in an RCT is warranted.
Impact of the COVID-19 Pandemic on Health, Well-being, and Quality of Work-Life Outcomes Among Direct Care Nursing Staff Working in Nursing Home Settings: Protocol for a Systematic Review
Authors: Thorne Trina , Duan Yinfei , Slubik Sydney , Estabrooks Carole A 
Published: January 2023

Background
Increased workload, lack of resources, fear of infection, and the suffering and loss of residents have placed a significant emotional burden on regulated and unregulated direct care nursing staff (eg, registered nurses, licensed practical nurses, and care aides) in nursing homes (residential long-term care homes). Psychological distress and burnout related to COVID-19 have been cited among direct care staff within nursing homes. Studies have also emphasized the resilience of direct care staff, who, despite the significant challenges created by the pandemic, remained committed to providing quality care. To date, only one nursing home–specific review has synthesized evidence from 15 studies conducted early in the pandemic, which reported anxiety, posttraumatic stress disorder, and depression among direct care staff.

Objective
The objectives of this systematic review are to (1) synthesize all empirical evidence on the impact of the COVID-19 pandemic on direct care staffs’ mental health, physical health, and work-life outcomes; (2) identify specific risks and protective factors; and (3) examine the effect of strategies or interventions that have been developed to improve these outcomes.

Methods
We will include all study designs reporting objective or subjective measurements of direct care staffs’ mental health, physical health, and quality of work-life in nursing home settings during the COVID-19 pandemic (January 2020 onward). We will search multiple databases (MEDLINE, CINAHL, Embase, Scopus, and PsycINFO) and gray literature sources with no language restrictions. Two authors will independently screen, assess data quality, and extract data for synthesis. Given the heterogeneity in research designs, we will use multiple data synthesis methods that are suitable for quantitative and qualitative studies.

Results
As of December 2022, full text screening has been completed and data extraction is underway. The expected completion date is June 30, 2023.

Conclusions
This systematic review will uncover gaps in current knowledge, increase our understanding of the disparate findings to date, identify risks and factors that protect against the sustained effects of the pandemic, and elucidate the feasibility and effects of interventions to support the mental health, physical health, and quality of work-life of frontline nursing staff. This study will inform future research exploring how the health care system can be more proactive in improving quality of work-life and supporting the health and psychological needs of frontline staff amid extreme stressors such as the pandemic and within the wider context of prepandemic conditions.

Trial Registration
PROSPERO CRD42021248420; https://tinyurl.com/4djk7rpm

International Registered Report Identifier (IRRID)
DERR1-10.2196/40390
Development and Validation of Multivariable Prediction Algorithms to Estimate Future Walking Behavior in Adults: Retrospective Cohort Study
Authors: Park Junghwan , Norman Gregory J , Klasnja Predrag , Rivera Daniel E , Hekler Eric 
Published: January 2023

Background
Physical inactivity is associated with numerous health risks, including cancer, cardiovascular disease, type 2 diabetes, increased health care expenditure, and preventable, premature deaths. The majority of Americans fall short of clinical guideline goals (ie, 8000-10,000 steps per day). Behavior prediction algorithms could enable efficacious interventions to promote physical activity by facilitating delivery of nudges at appropriate times.

Objective
The aim of this paper is to develop and validate algorithms that predict walking (ie, >5 min) within the next 3 hours, predicted from the participants’ previous 5 weeks’ steps-per-minute data.

Methods
We conducted a retrospective, closed cohort, secondary analysis of a 6-week microrandomized trial of the HeartSteps mobile health physical-activity intervention conducted in 2015. The prediction performance of 6 algorithms was evaluated, as follows: logistic regression, radial-basis function support vector machine, eXtreme Gradient Boosting (XGBoost), multilayered perceptron (MLP), decision tree, and random forest. For the MLP, 90 random layer architectures were tested for optimization. Prior 5-week hourly walking data, including missingness, were used for predictors. Whether the participant walked during the next 3 hours was used as the outcome. K-fold cross-validation (K=10) was used for the internal validation. The primary outcome measures are classification accuracy, the Mathew correlation coefficient, sensitivity, and specificity.

Results
The total sample size included 6 weeks of data among 44 participants. Of the 44 participants, 31 (71%) were female, 26 (59%) were White, 36 (82%) had a college degree or more, and 15 (34%) were married. The mean age was 35.9 (SD 14.7) years. Participants (n=3, 7%) who did not have enough data (number of days <10) were excluded, resulting in 41 (93%) participants. MLP with optimized layer architecture showed the best performance in accuracy (82.0%, SD 1.1), whereas XGBoost (76.3%, SD 1.5), random forest (69.5%, SD 1.0), support vector machine (69.3%, SD 1.0), and decision tree (63.6%, SD 1.5) algorithms showed lower performance than logistic regression (77.2%, SD 1.2). MLP also showed superior overall performance to all other tried algorithms in Mathew correlation coefficient (0.643, SD 0.021), sensitivity (86.1%, SD 3.0), and specificity (77.8%, SD 3.3).

Conclusions
Walking behavior prediction models were developed and validated. MLP showed the highest overall performance of all attempted algorithms. A random search for optimal layer structure is a promising approach for prediction engine development. Future studies can test the real-world application of this algorithm in a “smart” intervention for promoting physical activity.
Physical Carrying Capacity of The Semama Island Wildlife Sanctuary
Authors: Mijiarto Joko , Rachmawati Eva 
Published: January 2023

The Semama Island Wildlife Sanctuary (SIWS) was part of the Derawan National Tourism Strategic Areas (NTSA) with great potential. As a conservation area, tourism should consider the carrying capacity at SIWS for its optimal development. Therefore, this study aimed to estimate the carrying capacity of the SIWS area using the Physical Carrying Capacity approach. Literature studies, field observations, and interviews were conducted in October 2021 to collect data. The results showed that the pyhsical carrying capacity of the SIWS was 506 people per day, consisting of 45 mangrove tours, 401 snorkeling, and 60 birdwatching activities, indicating the maximum number of visitors the SIWS could accommodate. This information is essential as a consideration for future tourism development.
Экспедиционные материалы Ц.-Д. Номинханова (1924–1925 гг.): сравнительно-сопоставительный анализ свадебной обрядности дербетов Западной Монголии и калмыков-дербетов России
Authors:   Kalmyk Scientific Center of the RAS (8, Ilishkin St., Elista 358000, Russian Federation), Sharaeva Tatyana I. 
Published: January 2023

Introduction. The article discusses wedding traditions of Western Mongolian Dorbets — and Kalmyk Dorbets of Russia. The point is that before the 17th century those had been constituting a single Oirat ethnic community further divided across differing states with differing ethnic environments and lifestyles. Materials and methods. The paper analyzes 1924–1925 field data of Ts.-D. Nominkhanov pertaining to wedding rituals of Mongolia’s Dorbets, these be compared to descriptions of traditional wedding rites observed among Dorbets of Bolshederbetovsky Ulus (Stavropol Governorate) by I. Bentkovsky in 1869, and of those practiced by Dorbets of Maloderbetovsky Ulus (Astrakhan Governorate) and published by I. Zhitetsky in 1893. Special attention is also paid to publications of researchers to have examined wedding rites of Western Mongolian Dorbets, such as Ts. Ayuush, Ts. Baasandorj, A. Ochir, K. Vyatkina, and V. Darbakova. The study employs the descriptive and comparative research methods. Results. The conducted analysis asserts a structural similarity of wedding rites practiced by Dorbets of Western Mongolia and Kalmyk Dorbets of Russia. Despite the centuries-long isolation from related Oirat communities, the Kalmyks had retained the original set of wedding rites to the 19th century. The absence of references or descriptions of any particular rite gives no ground to assert the latter never existed, since the sources of information about wedding rites of Kalmyk Dorbets are somewhat fragmentary and scattered. The analysis of Ts.-D. Nominkhanov’s materials suggests those deal with the most significant wedding rites and rituals. In general, the following similarities can be traced in wedding rites of the Dorbets: allegory expressed via symbolism of certain ritual actions, use of white kerchiefs and khatags to formalize the establishment of family relations, importance of dairy products and their derivatives as ones with sacred meanings, preservation of ancestor and fire cults, vestiges of matrilocality traced in rites of the groom’s inauguration.