bluuebunny/crossref_metadata_2025_split huggingface dataset:
Climatology of mixed-phase clouds and their radiative effects when coupled to sea ice; study based from observations at the western Arctic
Authors: Garfias Pablo Saavedra , Kalesse-Los Heike , Ebell Kerstin 
Published: January 2023

The current contribution presents wintertime climatology from 2012 to
2020 of mixed-phase clouds and their radiative effects when coupled to
the sea ice states. Measurements from the U.S. Department of Energy
(DOE) Atmospheric Radiation Measurement (ARM) at the North Slope Alaska
(NSA) site in Utqiagvik, Alaska are being analyzed.
Classification of cloud hydrometeors in the liquid, ice or mixed-phase
states was primary determined by the Cloudnet algorithm, developed by
the Finish Meteorological Institute, and applied to a set of
ground-based remote sensing instruments from NSA . To evaluate the
influence by sea ice, which plays an important role on the Arctic
surface-atmosphere interaction, the statistics are separated into cases
when clouds are coupled or decoupled to specific sea ice conditions,
like presence of leads or polynyas in the vicinity of NSA .
We found that clouds coupled to sea ice with presence of leads have
shown distinguished features like the increase of total liquid content,
lower cloud base heights and less ice content when compared to decoupled
cases. Nevertheless, these results rely on Cloudnet accurately detecting
cloud droplets within mixed-phase clouds.
Arctic cloud radiative effects (CRE) have already been studied from
short expeditions like the SHEBA campaign (Shupe et al., 2004) and
middle-term ground observations in Barrow (Shupe et al., 2015) and
Ny-Ålesund, Svalbard (Ebell et al., 2020). We extend similar CRE studies
for 8 years during wintertime, where longwave up- and down-welling flux
measurements from NSA are used to estimate surface net fuxes and other
cloud radiative features for cases when clouds are coupled or decoupled
to sea ice conditions and their sensitivity to different gradients of
air-surface temperature when leads or polynyas are present.
Quantifying the Relationship Between Physical Activity Energy Expenditure and Incident Type 2 Diabetes: A Prospective Cohort Study of Device-Measured Activity in 90,096 Adults
Authors: Strain Tessa , Dempsey Paddy C. , Wijndaele Katrien , Sharp Stephen J. , Kerrison Nicola , Gonzales Tomas I. , Li Chunxiao , Wheeler Eleanor , Langenberg Claudia , Brage Søren , Wareham Nick 
Published: January 2023

OBJECTIVE
To investigate the association between accelerometer-derived physical activity energy expenditure (PAEE) and incident type 2 diabetes (T2D) in a cohort of middle-aged adults and within subgroups.

RESEARCH DESIGN AND METHODS
Data were from 90,096 UK Biobank participants without prevalent diabetes (mean 62 years of age; 57% women) who wore a wrist accelerometer for 7 days. PAEE was derived from wrist acceleration using a population-specific method validated against doubly labeled water. Logistic regressions were used to assess associations between PAEE, its underlying intensity, and incident T2D, ascertained using hospital episode and mortality data up to November 2020. Models were progressively adjusted for demographic, lifestyle factors, and BMI.

RESULTS
The association between PAEE and T2D was approximately linear (n = 2,018 events). We observed 19% (95% CI 17–21) lower odds of T2D per 5 kJ · kg−1 · day−1 in PAEE without adjustment for BMI and 11% (9–13) with BMI adjustment. The association was stronger in men than women and weaker in those with obesity and higher genetic susceptibility to obesity. There was no evidence of effect modification by genetic susceptibility to T2D or insulin resistance. For a given level of PAEE, odds of T2D were lower among those engaging in more moderate-to-vigorous activity.

CONCLUSIONS
There was a strong linear relationship between PAEE and incident T2D. A difference in PAEE equivalent to an additional daily 20-min brisk walk was associated with 19% lower odds of T2D. The association was broadly similar across population subgroups, supporting physical activity for diabetes prevention in the whole population.
Introduksjon: Arven etter Søreide
Authors: Holm Minda 
Published: January 2023

I to tidligere omganger har Internasjonal Politikk viet fokusnumre til drøfting av en utenriksministers innsats og resultater: fokusnummeret Arven etter Støre om Jonas Gahr Støre (2005–2012, volum 71, nr. 3, 2013), og fokusnummeret Diplomatiminister Brende om Børge Brende (2013–2017, volum 75, nr. 3/4, 2017). I denne tredje utgaven har vi samlet ni bidrag som diskuterer ulike politikkområder under Ine Marie Eriksen Søreides tid som utenriksminister (2017–2021). Det overordnede oppdraget gitt til bidragsyterne har vært å redegjøre og diskutere hva Søreide har oppnådd – eller forsøkt å oppnå – innenfor spesifikke felt. Politikkområdene som diskuteres i fokusspalten er ikke uttømmende; klimapolitikken er eksempelvis ikke dekket her (se eget fokusnummer om norsk klima- og utenrikspolitikk, volum 90, nr. 1, 2022). Men samlet gir de ni bidragene en forholdsvis omfattende diskusjon av årene 2017–2021 i norsk utenrikspolitikk.
Kajian Bakat Anak Melalui Pola Tulisan Tangan dengan Algoritma Convolutional Neural Network
Authors: Mair Zaid Romegar 
Published: January 2023

Orang tua yang belum mengetahui bakat anak, mengakibatkan lambatnya perkembangan kemajuan anak dalam menggapai passion natural nya. Kendala lain yang dihadapi adalah sulit dalam mencariÂ psikologi anak yang cocok untuk melakukan konsultasi, dan juga terkait biaya yang dikeluarkan yang tidak sedikit. Dengan demikian maka dilakukan penelitian dengan melakukan deteksi bakat anak direntang usia 14-15 tahun dengan menggunakan CNN. Dengan harapan rentang usia tersebut anak sudah memiliki seni menulis secara permanen. HasilÂ analisa ini menunjukanÂ bahwaÂ terdapat 6Â bakat utamaÂ danÂ 75Â ciriÂ bakat. BerdasarkanÂ inferensi yangÂ digunakan untuk mengidentifikasi bakat anak menurutÂ standar USOE America. SistemÂ iniÂ dapatÂ memberikanÂ informasiÂ berupaÂ bakatÂ danÂ minatÂ anakÂ berdasarkanÂ ciriÂ yang dimilikiÂ Â sertaÂ Â caraÂ Â belajarÂ Â yangÂ Â tepatÂ Â bagiÂ Â anakÂ Â tersebut.Â Â SehinggaÂ Â para orangÂ Â tuaÂ Â bisa memaksimalkan bakat anak yang dimilikinya.Â
Evaluasi User Interface Aplikasi Kitabisa Menggunakan Metode Heuristic Evaluation
Authors: Utami Yohana Tri , Intiha Evania 
Published: January 2023

The public is made aware of a cause via a gift or fundraising event, enabling many people to do good. This study seeks to assess how comfortable users are using the Kitabisa application and to pinpoint any problems so that interface design mockup can be developed as potential fixes. The comfort felt by application users can be used as a determinant that the application can be categorized as a good application. The discovery of problems felt by Kitabisa users included inconsistencies in language, appearance, colors, and icons causing users to feel confused when using the Kitabisa Application.The Heuristic Evaluation is a method that involves user interface experts who are expert with the aim of finding user interface problems. The Heuristic Evaluation method will be used to guide the flow or steps that will be carried out in each process during the analysis and evaluation of the Kitabisa application so the solution can be madeÂ for the problems found. Interface usability testing was carried out by finding problems in the Kitabisa application interface design and this test was successfully carried out through usability testing in order to collect feedback in the form of comments from evaluators and make improvements to the Kitabisa application mockup design interface based on comments from experts.
Improving the Performance of Loan Risk Prediction based on Machine Learning via Applying Deep Neural Networks
Authors: Qu Yanzhen , Said Ihsan 
Published: January 2023

Deep learning algorithms can be applied to data acquired regularly from consumers' financial activity in order to create predictive tools used to foresee credit card defaults. Methods such as Convolutional Neural Networks and Recurrent Neural networks were utilized to improve the performance of loan risk prediction, hence lowering the risk to financial institutions. To compare the two models, the same data set was used. With the goal of better modeling and moving their precise measures for gauging model performance, the same initial dataset was used. Predictions from deep learning algorithms are helpful in many different areas of study, including representation and abstraction that make sense of images, sound, and text. The study laid the groundwork for filling the void left by outdated banking tools and inadequate computer technology by applying deep learning algorithms to the problem of credit card default prediction.
Effects of tranquilization therapy in elderly patients suffering from chronic non-communicable diseases: A meta-analysis
Authors: Li Jing , Li Jing , Cui Yulan , Li Honggeng , Hou Xiaoxuan , Zhao Fang , Zhao Qing , Zhao Junlan , Lin Pengchao 
Published: January 2023

Abstract
The current meta-analysis searched the literature connected to different tranquilizers used to treat elderly people and assessed it in terms of dose, types of outcomes and adverse effects, to determine a safe and acceptable tranquilizer and its optimal dose. A systematic literature review was undertaken for randomized controlled trials, case-control, retrospective and prospective studies on the use of tranquilizers in elderly patients, using PubMed, Ebsco, SCOPUS and Web of Science. PICOS criteria were used to select studies, and pertinent event data was collected. This meta-analysis includes 16 randomized control trials spanning the years 2000 to 2022, using the data from 2224 patients. The trials that were included used various tranquilizers such as diazepam, alprazolam, temazepam and lorazepam, and indicated high treatment efficacy and low adverse effects. With a p-value of 0.853 for Egger’s test and 0.13 for Begg’s test, the current meta-analysis shows a minimal probability of publication bias. A recent meta-analysis supports the use of tranquilizers in older people to treat sleeplessness, epilepsy or anxiety, but only at modest doses, because large doses are harmful and produce numerous withdrawal symptoms.
Ampelopsin induces MDA-MB-231 cell cycle arrest through cyclin B1-mediated PI3K/AKT/mTOR pathway in vitro and in vivo
Authors: Meng Minjun , Yang Qiaolu , Ouyang Zhong , Yang Qingmo , Wu Xinyi , Huang Yufan , Su Yonghui , Chen Shuanglong , Chen Wenlin 
Published: January 2023

Abstract
Breast cancer is one of the most common malignant tumors in women and it is the most frequently diagnosed cancer in the world. Ampelopsin (AMP) is a purified component from the root of Ampelopsis grossedentata. It is reported that AMP could significantly inhibit the proliferation of breast cancer cells. However, the antitumor mechanism against breast cancer has not yet been fully elucidated. The purpose of this work was to study the role of AMP against breast cancer MDA-MB-231 cells and to further investigate the underlying mechanism. PI3K/AKT/mTOR plays a very important role in tumor cell growth and proliferation and we hypothesize that AMP may inhibit this pathway. In the present work, the results showed that AMP could significantly inhibit the growth of breast cancer MDA-MB-231 cells in vitro and in vivo. In addition, treatment with AMP decreased the levels of PI3K, AKT and mTOR, as well as cyclin B1 expression, followed by p53/p21 pathway activation to arrest the cell cycle at G2/M. Moreover, it demonstrated a positive association between cyclin B1 and PI3K/AKT/mTOR levels. Importantly, this pathway was found to be regulated by cyclin B1 in MDA-MB-231 cells treated with AMP. Also, it was observed that cyclin B1 overexpression attenuated cell apoptosis and weakened the inhibitory effects of AMP on cell proliferation. Together, AMP could inhibit breast cancer MDA-MB-231 cell proliferation in vitro and in vivo, due to cell cycle arrest at G2/M by inactivating PI3K/AKT/mTOR pathway regulated by cyclin B1.
The in vitro anticancer effects of FS48 from salivary glands of Xenopsylla cheopis on NCI-H460 cells via its blockage of voltage-gated K+ channels
Authors: Xiong Weichen , Fan Huizhen , Zeng Qingye , Deng Zhenhui , Li Guanhui , Lu Wancheng , Zhang Bei , Lai Shian , Chen Xin , Xu Xueqing 
Published: January 2023

Abstract
Voltage-gated K+ (Kv) channels play a role in the cellular processes of various cancer cells, including lung cancer cells. We previously identified and reported a salivary protein from the Xenopsylla cheopis, FS48, which exhibited inhibitory activity against Kv1.1-1.3 channels when assayed in HEK 293T cells. However, whether FS48 has an inhibitory effect on cancer cells expressing Kv channels is unclear. The present study aims to reveal the effects of FS48 on the Kv channels and the NCI-H460 human lung cancer cells through patch clamp, MTT, wound healing, transwell, gelatinase zymography, qRT-PCR and WB assays. The results demonstrated that FS48 can be effective in suppressing the Kv currents, migration, and invasion of NCI-H460 cells in a dose-dependent manner, despite the failure to inhibit the proliferation. Moreover, the expression of Kv1.1 and Kv1.3 mRNA and protein were found to be significantly reduced. Finally, FS48 decreases the mRNA level of MMP-9 while increasing TIMP-1 mRNA level. The present study highlights for the first time that blood-sucking arthropod saliva-derived protein can inhibit the physiological activities of tumour cells via the Kv channels. Furthermore, FS48 can be taken as a hit compound against the tumour cells expressing Kv channels.
Cross-Project Defect Prediction with Metrics Selection and Balancing Approach
Authors: Nevendra Meetesh , Singh Pradeep 
Published: January 2023

Abstract
In software development, defects influence the quality and cost in an undesirable way. Software defect prediction (SDP) is one of the techniques which improves the software quality and testing efficiency by early identification of defects(bug/fault/error). Thus, several experiments have been suggested for defect prediction (DP) techniques. Mainly DP method utilises historical project data for constructing prediction models. SDP performs well within projects until there is an adequate amount of data accessible to train the models. However, if the data are inadequate or limited for the same project, the researchers mainly use Cross-Project Defect Prediction (CPDP). CPDP is a possible alternative option that refers to anticipating defects using prediction models built on historical data from other projects. CPDP is challenging due to its data distribution and domain difference problem. The proposed framework is an effective two-stage approach for CPDP, i.e., model generation and prediction process. In model generation phase, the conglomeration of different pre-processing, including feature selection and class reweights technique, is used to improve the initial data quality. Finally, a fine-tuned efficient bagging and boosting based hybrid ensemble model is developed, which avoids model over -fitting/under-fitting and helps enhance the prediction performance. In the prediction process phase, the generated model predicts the historical data from other projects, which has defects or clean. The framework is evaluated using25 software projects obtained from public repositories. The result analysis shows that the proposed model has achieved a 0.71±0.03 f1-score, which significantly improves the state-of-the-art approaches by 23 % to 60 %.
Improving AODV Performance by Software Defined Networking Using NS3
Authors: Brahmia Hanene , Tolba Chérif , Hafs Toufik 
Published: January 2023

Abstract
Nowadays, vehicular networks attract car manufacturers, network researchers, and governments as well. They represent one of the building blocks, for the intelligent transportation systems. Our task is to study the employment of SDN advantages to facilitate and improve the performance of vehicular ad-hoc networks. The goal of the research is to evaluate AODV routing protocol performance improved with SDN technology applied on VANET network in specified environment of a city. We have evaluated three parameters: packet delivery ratio, end-to-end delay and throughput using SUMO and NS3 simulators. The implemented evaluation protocol shows the importance of the adopted approach.
An Intelligent Framework for Person Identification Using Voice Recognition and Audio Data Classification
Authors: Khan Isra , Emaduddin Shah Muhammad , Ullah Ashhad , Ullah A Rafi 
Published: January 2023

Abstract
The paper proposes a framework to record meeting to avoid hassle of writing points of meeting. Key components of framework are “Model Trainer” and “Meeting Recorder”. In model trainer, we first clean the noise in audio, then oversample the data size and extract features from audio, in the end we train the classification model. Meeting recorder is a post-processor used for sound recognition using the trained model and converting the audio into text. Experimental results show the high accuracy and effectiveness of the proposed implementation.
The effects of replacing fishmeal by mealworm (Tenebrio molitor) on digestive enzymes activity and hepatopancreatic biochemical indices of Litopenaeus vannamei
Authors: Sharifinia Moslem , Bahmanbeigloo Zahra Afshari , Keshavarzifard Mehrzad , Khanjani Mohammad Hossein , Daliri Moslem , Koochaknejad Emad , Jasour Mohammad Sedigh 
Published: January 2023

Abstract
Reducing the use of fishmeal (FM) in aquafeed means a significant saving in the amount of FM at the global level and reducing environmental impacts. One of the potential protein sources to replace FM in shrimp diet is the use of insects’ meal. Therefore, the present study aimed to examine the effects of replacing FM with mealworm (MW; Tenebrio molitor) on the growth, digestive enzymes activity and hepatopancreatic biochemical indices of Pacific white shrimp (Litopenaeus vannamei). Shrimp were fed for 60 days with a control diet (T0) and 4 practical diets (T15, T30, T60 and T100) where 15, 30, 60 and 100% of the FM was substituted by MW, respectively. Results showed that there were significant differences in weight gain (WG) and hepatopancreatic index (HPI) among treatments and the lowest and highest values were observed in T0 and T30, respectively. Our findings indicated a significant increase (P<0.05) in activity of glutathione peroxidase (GPX), catalase (CAT), superoxide dismutase (SOD), total nitric oxide (TNO) and total antioxidant capacity (TAC) and a meaningful decrease (P<0.05) of malondialdehyde (MDA) in hepatopancreas of L. vannamei juveniles fed diets containing MW. The alanine aminotransferase (ALT) and aspartate aminotransferase (AST) in the T0 did not show a significant difference (P>0.05) with other experimental treatments. Protease and lipase indicated an increasing trend with increasing the amount of MW up to 60%. The protease activity showed a significant difference (P<0.05) between the treatments containing MW and the control treatment. These findings indicated that MW could be a feasible candidate for replacing FM in diets of the Pacific white shrimp without any detrimental effects.
Picas/Point, Kerning dan Leading Karya Kaligrafi Utsmani Gaya Riq’ah Muhammad Izzat
Authors: Amrulloh Ahmad Yasir 
Published: January 2023

Tulisan ini bertujuan untuk menganalisis picas/point, kerning, dan leading pada kaligrafi Riq’ah karya Muhammad Izzat, salah satu kaligrafer berpngaruh di Turki, dengan menggunakan teori typografi dan teknik analisis picas/point, kerning dan leading. Hasil penelitian ini menunjukkan bahwa kaligrafi Riq’ah yang ditulis oleh Muhammad Izzat menggunakan titik dengan sudut 45 derajat sebagai picas/point. Kerning dengan ukuran satu setengah hingga dua titik digunakan sebagai kerning antara satu kata dengan kata yang lain. Sementara dua titik digunakan sebagai kerning jika bertemu dengan huruf yang berdiri. Khusus untuk penulisan tanda baca, Muhammad Izzat menggunakan dua variasi. Ada yang satu setengah titik, juga ada yang dua titik sebagai kerning antara tanda baca dan badan huruf. Adapun untuk ukuran leadingnya, diketahui bahwa baris pertama berjumlah delapan titik vertikal. Sedangkan leading antara baris pertama dengan baris kedua berjumlah dua titik vertikal, leading pada baris kedua berjumlah empat titik vertikal dan dua setengah titik vertikal menunjukkan leading antara baris pertama dan kedua. Dengan demikian, dapat diketahui bahwa Muhammad Izzat sangat konsisten dalam menentukan kerning dan leading. Temuan ini juga menunjukkan bahwa karya Muhammad Izzat memiliki nilai estetik tersendiri bila ditinjau dari sisi typografi picas/point, kerning dan leading
Peran Modal Psikologis dan Dukungan Sosial terhadap Kesiapan Kerja Mahasiswa Universitas X
Authors: Saraswati Kiky D. H. , Lie Daniel , Pribadi Roland B 
Published: January 2023

In order to compete with other job seekers, a university graduate should have adequate provisions. In addition to knowledge and skills, they also need to possess readiness to enter the workplace, which is known as work readiness. Work readiness is characterized by having a number of skills, knowledge, basic attitudes, and practical understanding that enable an individual to work productively and to achieve the goals of the organization. Work readiness is influenced by individual internal and external factors. In this study, the internal factor studied is psychological capital, namely an individual’s positive psychological state of development characterized by self-efficacy, hope, optimism, and resilience. Furthermore, the external factor studied is social support, namely the perception or actualization of care or assistance from a social network. This research implemented a non-experimental quantitative method, by distributing the Work Readines Inventory developed by Brady (2010), the Psychological Capital Questionnaire developed by Luthans et al. (2007), and the Personal Resources Questionnaire (PRQ2000) developed by Weinert (2003) to 124 students of University X in Jakarta, Indonesia. The results showed that work readiness of the students of University X is significantly influenced by psychological capital (F= 131.291; p< 0.000) and social support (F= 67.007; p< 0.000).
Kombinasi Yoga dan Herbal dalam Pengobatan Beserta Efektivitasnya
Authors: I Gusti Agung Ayu Kartika  , Made Krisna Adi Jaya  
Published: January 2023

Yoga kerap kali dikombinasikan dengan jenis terapi lainnya untuk memaksimalkan pengobatan pasien. Kombinasi yoga dan herbal termasuk kombinasi yang dimungkinkan untuk dilakukan. Penelitian ini bertujuan untuk merangkum dan mengkaji hasil penelitian terkait kombinasi yoga dan herbal. Artikel penelitian dikumpulkan dari berbagai database online seperti Google Scholar, Google, Medline, Pubmed dan Science Direct. Kriteria inklusi dan eksklusi diterapkan untuk memperoleh artikel penelitian klinik yang asli, relevan dengan topik yang diinginkan, dipublikasikan 10 tahun terakhir, naskah utuh dapat diakses serta metode dan hasil penelitian dijelaskan dengan baik dan valid. Total hanya terdapat 5 artikel yang memenuhi syarat untuk dibahas. Penelitian dilakukan di Indonesia dan India. Cara penggunaan herbal yang digunakan yaitu inhalasi dan oral. Indikasi penggunaan kombinasi yoga dan herbal yaitu menurunkan nyeri dismenore, nyeri sendi, membantu mengobati diabetes mellitus tipe 2, hipertensi, dan meningkatkan kualitas tidur. Kombinasi yoga dan herbal masih belum banyak diterapkan dan ditelaah sehingga membuka peluang besar untuk penelitian lebih lanjut.