bluuebunny/crossref_metadata_2025 huggingface dataset:
Potent antioxidant alpha lipoic acid reduces STZ-induced oxidative stress and apoptosis levels in the erythrocytes and brain cells of diabetic rats
Authors: YAZĞAN Betül , YAZĞAN Yener
Published: January 2023

Diabetes, which causes oxidative stress-induced neuronal damage, is still one of the most important chronic health problems in the world. It can cause serious cellular loss and damage throughout the course of the disease. It is hypothesized that increased oxidative stress in this process increases free reactive oxygen species (ROS) and apoptotic markers and causes diabetic damage. Alpha-Lipoic acid (α-LA), which has a direct antioxidant effect in ROS reduction reactions, is also among the main components of the antioxidant system that works for free radical control and apoptosis. To understand the role of α-LA in reducing diabetes-induced oxidative damage, we examined the production of ROS in the brain cortex and erythrocytes of rats and their effects on markers of apoptosis.
Forty adult Wistar albino rats were divided into four groups as control, α-LA, diabetic (DIA), and DIA+α-LA. For the induction of diabetes, the intraperitoneal injection of a dose of streptozotocin (STZ) (45 mg/kg) was used. α-LA (50 mg/kg) was applied to the groups of α-LA and DIA+α-LA for 14 days. At the end of the experiment, the brain cortex tissue and erythrocyte samples were taken from the rats.
The levels of apoptosis, caspase 3, caspase 9, mitochondrial membrane potential, intracellular ROS, and lipid peroxidation were increased in the STZ group, although their levels were decreased in the DIA+α-LA group by the injection of α-LA. The STZ treatmentinduced decreases of cell viability, reduced glutathione, and glutathione peroxidase were increased in the brain and erythrocytes by the treatment of α-LA.
In conclusion, diabetes acted a role in neuronal damage caused by increased ROS and apoptosis. We observed that α-LA induced a modulatory role on the apoptotic, oxidant, and antioxidant parameters in the brain and erythrocyte. The neuroprotective role of α-LA treatment may be explained by its modulating activity against increased oxidative stress and apoptosis.
PENYULUHAN RUMAH SEHAT IDAMAN SETIAP ORANG
Authors: Raafidiani Reni , Yuliana Ade , Bokings Tri Pratiwi Olivia Riska
Published: January 2023

Home is a place where we must feel safe and comfortable, this is of course an important foundation for our role as residents of the house. But human awareness is still lacking in creating a safe and comfortable home. Sometimes humans take trivial things about house ventilation, sanitation of temporary toilet and lighting of a room. The important thing is to have place to live they did not conciderate about healty place. The purpose of community service is to provide counseling about a healthy home which is everyone's dream in Taman Bukit Cibogo, RT.08/RW.17, Kelurahan Leuwigajah, Kecamatan Cimahi Selatan, Kota Cimahi. In order to acive the desire out come, sosialisation is required about healty house. A healthy home doesn't have to be luxurious, but a healthy home is a comfortable place for its residents, so apart from being physically healthy, you also have to pay attention to it physiologically. The results of this dedication service participants know the conditions for a healthy house and healty soul apart from that the service participants can apply it to their respective homes.
TINGKAT PARTISIPASI, KEBUGARAN JASMANI MASYARAKAT DITINJAU DARI SPORT DEVELOPMENT INDEX (SDI)
Authors: Suwo Rahedin , Sabrin La Ode Maklum , Nurkhoiroh Nurkhoiroh , Heriansyah Heriansyah
Published: January 2023

Sport Development Index (SDI) merupakan pilihan baru yang dapat digunakan untuk mengukur tingkat pembangunan olahraga disuatu wilayah. Artikel ini menganalisis tentang Tingkat Partisipasi dan kebugaran Jasmani Masyarakat di Kabupaten Kolaka ditinjau dari SDI. Tujuan penelitian untuk mengukur Tingkat Partisipasi dan kebugaran Jasmani Masyarakat Kabupaten Kolaka yang berdomisili di Kecamatan Kolaka dan Kecamatan Pomala serta terbagi dalam kelompok usia dan jenis kelamin pada masing-masing kecamatan dengan menggunakan survei dan pendekatan deskriptif evaluasi. Penelitian ini mengguakan metode survey dengan pendekatan deskriptif evaluasi. Teknik pengambilan sampel dilakukan dengan cara Purposive Sampling. Teknik pengumpulan datanya yaitu kuisioner (angket) dan teknik tes Multistage Fitness Test (MFT). Temuan ini menunjukan tingkat partisipasi masayarakat dari 2 kecamatan berada pada kategori rendah sehingga berdampak pada tingkat kebugaran jasmani juga rendah. Perlu adanya sosialisasi dari pihak-pihak terkait untuk menumbuhkan kesadaran masyarakat pentingnya untuk tetap melakukan aktivitas fisik minimal 3 kali dalam seminggu dengan durasi minimal 30 menit sehari untuk menjaga tingkat kebugaran fisiknya.
Knowledge of Adolescent Post Partum Mothers About Umbilical Cord Care
Authors: Yusuf Nur Fadillah Pratama , Wulansari Ika , Boekoesoe Lintje
Published: January 2023

Umbilical cord care is an action to treat the umbilical cord in newborns to keep it dry and prevent infection. This study aims to determine the level of knowledge of adolescent post partum toward umbilical cord care. This study employs a quantitative method with a descriptive design. The populations are adolescent post partum in the working area of Kota Timur Public Health Center, totaling 98 people with a total sample of 79 people who are determined using the Cluster Random Sampling technique, The research questionnaire used a mother's knowledge questionnaire about cord care which consisted of 26 questions and the data used are univariate data. The results show that the number of respondents who have good knowledge is 32 respondents (40,5%), 40 respondents (50,6%) have sufficient knowledge, 7 respondents (8,9%) have a lack of knowledge.
Health Locus of Control With Diet Compliance In Diabetes Mellitus Patients
Authors: Arsad Sitti Fatimah Meylandri , Dungga Elvie Febriani , Hunawa Rachmawaty D. , Kidamu Savina Cindi
Published: January 2023

Diabetes mellitus (DM) is a chronic disease caused by the pancreas not being able to produce insulin effectively which is characterized by hyperglycemia. Blood sugar control can be done by adhering to the DM diet. Factors that influence adherence to diet include health locus of control (HLOC). The purpose of this study was to determine the relationship between HLOC and adherence to a diet in DM sufferers in the working area of the Telaga Health Center. This type of research is quantitative using the Cross Sectional approach method. The study population consisted of 194 DM sufferers in the working area of the Telaga Health Center. The number of samples was 66. The sampling technique was Simple Random Sampling. The results showed that 27 respondents (41%) had high HLOC, 39 respondents (59%) had moderate HLOC, and found no low HLOC (0%). Respondents with adherence to a good diet were 15 respondents (22.7%), adherence to an adequate diet were 48 respondents (72.7%) and adherence to a bad diet were 3 respondents (4.6%). Using the Somers'D test, a p-value = (0.000) is obtained so that there is a relationship between HLOC and adherence to diet in DM sufferers in the working area of the Telaga Health Center
PERSEPSI CALON GURU PAI TERHADAP KEBIJAKAN MERDEKA BELAJAR
Authors: Hamdil Mukhlishin  , Sunhaji  , Sukino
Published: January 2023

Kebijakan Merdeka Belajar telah ditetapkan oleh Mendikbud RI Nadiem Makarim sejak bulan Desember 2019. Namun, pemerintah kurang memaksimalkan strategi penerapan kebijakan pendidikan sehingga banyak masyarakat yang belum memahami tentang konsep Merdeka Belajar. Penelitian ini bertujuan untuk mendeskripsikan beragam persepsi calon guru PAI tentang konsep pelaksanaan Merdeka Belajar. Penelitian ini termasuk jenis penelitian lapangan dengan teknik pengumpulan data yang digunakan adalah teknik dokumentasi dengan angket tertutup. Subjek penelitian adalah calon guru PAI mahasiswa semester 5 sebanyak 25 orang dan semester 7 sebanyak 19 orang Prodi PAI FAI UM Pontianak dan berbagai sumber pustaka mengenai Merdeka Belajar. Hasil penelitian menunjukkan bahwa: (1) Para calon guru PAI memiliki persepsi mendukung kebijakan merdeka belajar, mulai dari penggantian ujian nasionan (UN) menjadi asesmen kompetensi minimum dan suvei karakter, memberikan kewenangan sekolah untuk melakukan Ujian Sekolah Berstandar Nasional (USBN), penyederhanaan RPP, dan perluasan zonasi saat PDDB. (2) Para calon guru PAI juga memberikan sarannya kepada pemerintah agar lebih mengoptimalkan tahapan pengimplementasian Merdeka Belajar di masyarakat. Selain itu, para guru PAI juga memberikan saran kepada sesama calon guru serta siswa untuk terus berusaha mengembangkan potensi-potensi yang dimiliki agar dapat menjadi pelaku pendidikan yang kreatif serta inovatif dan dapat mewujudkan kemerdekaan belajar di Indonesia.
CHALLENGES OF ONLINE LEARNING IN PANDEMIC SITUATION: THE CASE OF DIGITAL DIVIDE IN DEVELOPING COUNTRIES LIKE INDIA
Authors: Kashyap Payel Priya , Tamuli Jitu
Published: January 2023

The emergence of COVID-19 has been declared as pandemic by World Health Organisation on 12th March, 2020. In this pandemic situation, all the educational institutions are closed as social distancing is taken as a preventive measure to contain COVID-19. Undoubtedly, it has adversely affected learning of students at large. Education is a right to everyone. The right to education means that educational opportunity must be both equal and universal (UNESCO). The closure of all educational institutions has emphasized the need of online learning at home. While the online courses, television classes etc., are considered as alternative tool of teaching-learning in the pandemic atmosphere, the biggest challenge is to ensure equal learning for all. This is mainly due to presence of digital divide in developing and less developed countries. In this backdrop an attempt has been made in this paper to (a) examine the impact of digital divide on education during this pandemic situation in developing and underdeveloped countries, (b) to draw a comparative picture in respect of digital access of students in developed country, developing country and developing country and (c) to analyse the domestic digital divide within India.
PRINCIPAL'S OF DURG DISTRICT
Authors: Pandey Kanhaiya Kumar , Nagamani K.
Published: January 2023

This article tries to investigate the effect of personality on the managerial effectiveness of Principals of the Durg district. The researcher visited the higher secondary schools of the Durg district for data collection from Principals. One hundred thirty-two principals (66 male and 66 female) were selected through stratified random sampling techniques to measure Principals' personalities on the managerial effectiveness of Principals of the Durg district. Introversion extroversion inventory (IEI) developed by Dr. P.F. Aziz and Dr. Rekha Gupta (2013) was used to identify the Principal's personality and Managerial Effectiveness Scale by Dr. Upinder Dhar, Dr. Santosh Dhar, and Dr. Preeti Jain (2006) to determine the managerial effectiveness of the Principals. Data analysis was done using SPSS, 3x2x2 factorial design ANOVA was employed to analyze and interpret data. Results revealed the significant effect of introversion, ambivert, and extroversion personality on managerial effectiveness of Principals; it was also observed that the mean and SD of managerial effectiveness of Principals having an extrovert personality was higher than the ambivert and introvert personality. Therefore, it was concluded that higher secondary school Principals' managerial effectiveness had a more assertive extrovert personality. The Principals having extrovert personalities had a higher level of managerial effectiveness. Managerial effectiveness plays a vital role throughout the institution's operation. The principals' extrovert personality and managerial effectiveness are the growth advantage of a school in the education system. Based on the finding, the Government should regularly organize training and workshops for principals to improve their skills and competencies.
Indonesia's role in the G20 presidency during the conflict between Russia and Ukraine
Authors: Purwati Ria , Zakky Almubaroq Hikmat , Saptono Edy
Published: January 2023

Indonesia was appointed as the G20 presidency holder at the 2020 Riyadh Summit and handed over from Italy on October 31, 2021 in Rome, Italy. Along with the G20 Presidency activities in Indonesia, the conflict between Russia - Ukraine heated up again in early February 2022 after the Russian fighter fleet attacked the Ukrainian border, precisely in Belarus. Various impacts were felt by countries around Russia-Ukraine including Indonesia. Indonesia as the holder of the G20 Presidency in 2022 must take a stand against Russia invading Ukraine. This paper uses qualitative research methods, data collection techniques in this paper are based on internet-based research. The Indonesian government as the G20 Presidency has also conducted political, legal and security negotiations that not only talk about the issue of war that occurred between Russia and Ukraine in early 2022 but also bring the main issue of the economy. Indonesia's duty according to the constitution is to encourage that world issues can still be resolved in the G20 forum. Indonesia's stance in realizing world peace is enshrined in the Preamble of the 1945 Constitution. In an effort to create world peace, Indonesia is considered to still have to prioritize wise steps.
Empirical Path Loss Modelling for Selected LTE Networks in FUTA Campus, Ondo State, Nigeria
Authors: Oluwatoki S. O. , Busari S. A. , Popoola J. J.
Published: January 2023

Deployed Long Term Evolution (LTE) networks in Nigeria can barely meet the desired 100 Mbps downlink throughput leading to unsatisfactory quality of experience by mobile users. Typically, mobile network operators (MNOs) rely on network planning tools designed for generalized environments. These tools employ legacy propagation models that may not be suited to the operational environments under consideration. As such, the efficiency of such legacy path loss models suffers when they are used in environments different from those for which they have been designed, and this poses a major challenge to the MNOs. This is because the Nigerian geographical areas and topographical features vary widely from the areas where the legacy models were developed. Several studies in Nigeria and other African countries have shown that the legacy path loss models perform unsatisfactorily when compared with field measurement data. To address this challenge and enable accurate path loss prediction for an urban campus environment, extensive measurements at 2600 MHz were carried out in the main campus of the Federal University of Technology Akure (FUTA), Ondo State, Nigeria. The measurement results were compared with the path loss predictions from the commonly-used legacy propagation models (Free space and 3GPP TR 36.873). The results show that the legacy path loss models under-predict the path loss averagely by 20-40 dB, and up to 88 dB in some cases, for the considered environment. Root mean square error (RMSE) values in the range of 1.895 and 9.159 were also observed along the routes. The measurement results will enable the MNOs to adjust the path losses in order to deliver improved quality of service.
Aplikasi Absensi Karyawan Rumah Zakat Metode Geofance Berbasis Android
Authors: Sunggono Nova Teguh , Mariana Arni Retno , Adiratna Dwi Rahayu
Published: January 2023

Sistem absensi yang ada saat ini perlu diperbarui dengan sistem yang baru. Karena melakukan hal ini akan memberikan dampak yang sangat baik bagi perusahaan dalam hal efisiensi, efektivitas, dan kecepatan. Dalam hal ini, perusahaan berlomba-lomba untuk membuat sistem absensi yang dapat berjalan pada teknologi saat ini seperti smartphone Android. Tujuan dari penelitian ini adalah untuk menyediakan suatu sistem yang akan memudahkan pegawai Rumah Zakat Kota Tangerang dalam melakukan absensi dan menyediakan sistem yang dapat mempercepat penyajian informasi, laporan dan perhitungan dalam rekap absensi bulanan di suatu perusahaan. Metode penelitian yang digunakan penulis yaitu dalam jenis penelitian menggunakan metode Geofance. Untuk metode pengumpulan data, penulis menggunakan metode observasi, metode wawancara, dan metode penelitian. Untuk metode pengembangan/analisis dan desain, penulis menggunakan metode UML (Unified Modeling Language). Hasil pengujian perancangan aplikasi absensi online berbasis android dengan metode geofance yang penulis buat dalam penelitian ini adalah untuk memudahkan pegawai Rumah Zakat Kota Tangerang dalam melakukan absensi harian, memang biaya maintenance untuk pemeliharaan aplikasi dan pendampingan admin dalam rekap absensi, gaji bulanan pegawai Rumah Zakat Kota Tangerang.
THE URGENCY OF FOREIGN DIRECT INVESTMENT IN MICRO, SMALL, AND MEDIUM ENTERPRISES FINANCING FRAMEWORK: THE CASE OF INDONESIA
Authors: Kaukab M. Elfan
Published: January 2023

This research aims to check whether the rate of production growth in the MSME sectors open to foreign direct investment (FDI) was lower than in the closed MSME sectors before the policy in 2016 and whether the growth rate of the open MSME sectors’ production lower than the closed MSME sectors after the policy in 2016. The study covers a period of 9 years from 2011 to 2020 based on the data from Indonesian Statistics Bureau. Data used was industrial sectors’ performance, classified into closed and open for FDI sectors. The classification is defined based on Presidential Regulation No. 44 of 2016. In total there are 13 closed and 10 open sectors. We analyse the data using t-test analysis between closed and open FDI industrial sectors. The results of the study found that the performance of open MSMEs was significantly lower than the performance of closed MSMEs, both before and after the liberalization. Therefore, the government must relax the requirements given to investors to invest in open MSMEs.
Nonequilibrium Ionization Modeling of Petschek-type Shocks in Reconnecting Current Sheets in Solar Eruptions
Authors: Shen Chengcai , Raymond John C. , Murphy Nicholas A.
Published: January 2023

Nonequilibrium ionization (NEI) is essentially required for astrophysical plasma diagnostics once the plasma status departs from the assumption of ionization equilibrium. In this work, we perform fast NEI calculations combined with magnetohydrodynamic (MHD) simulations and analyze the ionization properties of a Petschek-type magnetic reconnection current sheet during solar eruptions. Our simulation reveals Petschek-type slow-mode shocks in the classical Spitzer thermal conduction models and conduction flux-limitation situations. The results show that under-ionized features can be commonly found in shocked reconnection outflows and thermal halo regions outside the shocks. The departure from equilibrium ionization strongly depends on plasma density. In addition, this departure is sensitive to the observable target temperature: the high-temperature iron ions are strongly affected by the effects of NEI. The under-ionization also affects the synthetic SDO/AIA intensities, which indicates that the reconstructed hot reconnection current sheet structure may be significantly underestimated either for temperature or apparent width. We also perform an MHD-NEI analysis on the reconnection current sheet in the classical solar flare geometry. Finally, we show the potential reversal between the under-ionized and over-ionized states at the lower tip of reconnection current sheets where the downward outflow collides with closed magnetic loops, which can strongly affect multiple SDO/AIA band ratios along the reconnection current sheet.
Numerical Study on Excitation of Turbulence and Oscillation in Above-the-loop-top Region of a Solar Flare
Authors: Shibata Kengo , Takasao Shinsuke , Reeves Katharine K.
Published: January 2023

Extreme-ultraviolet imaging spectroscopic observations often show an increase in line width around the loop-top or above-the-loop-top (ALT) region of solar flares, suggestive of turbulence. In addition, recent spectroscopic observations found the oscillation in the Doppler velocity around the ALT region. We performed 3D magnetohydrodynamic (MHD) simulations to investigate the dynamics in the ALT region, with a particular focus on the generation of turbulence and the excitation of the oscillatory motion. We found a rapid growth of MHD instabilities around the upper parts of the ALT region (arms of the magnetic tuning fork). The instabilities grow more rapidly than the magnetic Rayleigh–Taylor-type instabilities at the density interface beneath the reconnecting current sheet. Eventually, the ALT region is filled with turbulent flows. The arms of the magnetic tuning fork have bad-curvature and transonic flows. Therefore, we consider that the rapidly growing instabilities are combinations of pressure-driven and centrifugally driven Rayleigh–Taylor-type instabilities. Despite the presence of turbulent flows, the ALT region shows a coherent oscillation driven by the backflow of the reconnection jet. We examine the numerical results by reanalyzing the solar flare presented in Reeves et al. We find that the highest nonthermal velocity is always at the uppermost visible edge of the ALT region, where oscillations are present. This result is consistent with our models. We also argue that the turbulent magnetic field has a significant impact on the confinement of nonthermal electrons in the ALT region.
Impact of Nuclear β-decay Half-life Uncertainties on the r-process Simulations
Authors: Chen J. , Fang J. Y. , Hao Y. W. , Niu Z. M. , Niu Y. F.
Published: January 2023

The impact of nuclear β-decay half-life uncertainties on the r-process simulations are investigated in the hot wind r-process scenarios. It is found that the theoretical deviations among various half-life predictions are generally smaller and larger than 1 order of magnitude for the unknown nuclei with N ≲ 126 and N ≳ 126, respectively. This will have a significant impact on the r-process freeze-out time and the neutron-to-seed ratio after the freeze-out time. A universal staggering pattern is observed for the r-process abundances with the use of different half-life models before freeze-out. After the freeze-out, nuclear β-decay half-lives remarkably affect the detailed r-process abundance distributions. It is also found that nuclear β-decay half-lives have a remarkable impact on the abundances of transuranium elements, which play an important role in reproducing the second and the rare-earth peaks of solar r-process abundances, and filling the troughs before them by nuclear fissions.
A Systematic Search for Short-period Close White Dwarf Binary Candidates Based on Gaia EDR3 Catalog and Zwicky Transient Facility Data
Authors: Ren 任 Liangliang 亮亮 , Li 李 Chengyuan 程远 , Ma 马 Bo 波 , Cheng 程 Sihao 思浩 , Huang 黄 Shun-Jia 顺佳 , Tang 汤 Baitian 柏添 , Hu 胡 Yi-ming 一鸣
Published: January 2023

Galactic short-period close white dwarf binaries (CWDBs) are important objects for space-borne gravitational-wave (GW) detectors in the millihertz frequency bands. Due to the intrinsically low luminosity, only about 25 identified CWDBs are detectable by the Laser Interferometer Space Antenna (LISA), which are also known as verification binaries (VBs). The Gaia Early Data Release 3 (EDR3) provids a catalog containing a large number of CWDB candidates, which also includes parallax and photometry measurements. We crossmatch the Gaia EDR3 and Zwicky Transient Facility public data release 8, and apply period-finding algorithms to obtain a sample of periodic variables. The phase-folded light curves are inspected, and finally we obtain a binary sample containing 429 CWDB candidates. We further classify the samples into eclipsing binaries (including 58 HW Vir-type binaries, 65 EA-type binaries, 56 EB-type binaries, and 41 EW-type binaries) and ellipsoidal variations (209 ELL-type binaries). We discovered four ultrashort period binary candidates with unique light-curve shapes. We estimate the GW amplitude of all of our binary candidates, and calculate the corresponding signal-to-noise ratio (S/N) for TianQin and LISA. We find two (six) potential GW candidates with S/Ns greater than 5 in the nominal mission time of TianQin (LISA), which increases the total number of candidate VBs for TianQin (LISA) to 18 (31).
A JWST NIRSpec Phase Curve for WASP-121b: Dayside Emission Strongest Eastward of the Substellar Point and Nightside Conditions Conducive to Cloud Formation
Authors: Mikal-Evans Thomas , Sing David K. , Dong Jiayin , Foreman-Mackey Daniel , Kataria Tiffany , Barstow Joanna K. , Goyal Jayesh M. , Lewis Nikole K. , Lothringer Joshua D. , Mayne Nathan J. , Wakeford Hannah R. , Christie Duncan A. , Rustamkulov Zafar
Published: January 2023

We present the first exoplanet phase-curve measurement made with the JWST NIRSpec instrument, highlighting the exceptional stability of this newly commissioned observatory for exoplanet climate studies. The target, WASP-121b, is an ultrahot Jupiter with an orbital period of 30.6 hr. We analyze two broadband light curves generated for the NRS1 and NRS2 detectors, covering wavelength ranges of 2.70–3.72 μm and 3.82–5.15 μm, respectively. Both light curves exhibit minimal systematics, with approximately linear drifts in the baseline flux level of 30 ppm hr−1 (NRS1) and 10 ppm hr−1 (NRS2). Assuming a simple brightness map for the planet described by a low-order spherical harmonic dipole, our light-curve fits suggest that the phase curve peaks coincide with orbital phases 3.°36 ± 0.°11 (NRS1) and 2.°66 ± 0.°12 (NRS2) prior to mideclipse. This is consistent with the strongest dayside emission emanating from eastward of the substellar point. We measure planet-to-star emission ratios of 3924 ± 7 ppm (NRS1) and 4924 ± 9 ppm (NRS2) for the dayside hemisphere and 136 ± 8 ppm (NRS1) and 630 ± 10 ppm (NRS2) for the nightside hemisphere. The latter nightside emission ratios translate to planetary brightness temperatures of 926 ± 12 K (NRS1) and 1122 ± 10 K (NRS2), which are low enough for a wide range of refractory condensates to form, including enstatite and forsterite. A nightside cloud deck may be blocking emission from deeper, hotter layers of the atmosphere, potentially helping to explain why cloud-free 3D general circulation model simulations systematically overpredict the nightside emission for WASP-121b.
Pour une nouvelle coopération après le Brexit
Authors: Aghion Philippe
Published: January 2023

Le Brexit s'accompagne d'une perte de substance pour l'UE, notamment dans les domaines à haute valeur ajoutée de la recherche et de la finance. Dans cet entretien, Philippe Aghion propose de compenser ces pertes en développant des marchés de coopération entre le continent et le Royaume-Uni dans l'industrie, la recherche, les transports, la défense. Il suggère que les contraintes liées au Brexit imposent à l'Europe de développer des initiatives ambitieuses de coopération, et notamment dans le domaine de la recherche. Classification JEL : F36, F38, F65, G18.
« Pandémie » ou « Syndémie » ? Comment la crise du Covid-19 a-t-elle accentué des vulnérabilités déjà existantes ?
Authors: Piccolo Maxime
Published: January 2023

Résumé : Le concept de vulnérabilité est une notion relativement récente dans le champ des sciences. La vulnérabilité, à la fois universelle et structurelle, émerge de façon contextuelle et s’accompagne de nouvelles formes d’actions sociales basées sur des parcours de vie et des aides personnalisées. Après l’apparition du Covid-19 , les vulnérabilités se sont renforcées et cumulées sur les populations fragiles qui ont subi plus que d’autres, les multiples effets de la crise sanitaire. Ainsi, il semble plus juste de définir cette maladie non comme une « pandémie » mais comme une « syndémie », c’est-à-dire comme un ensemble de vulnérabilité étroitement lié « se renforçant mutuellement affectant de manière significative l’état de santé d’une population ». L’apparition du Covid-19 au sein de populations en situation de vulnérabilité a eu un effet sur les deux dimensions de la vie, tant sur la longueur (espérance de vie) que sur son épaisseur (qualité de la vie).
Silkworm sericin peptides alleviate the hardening of soy protein bars during early storage
Authors: Zhu H.T. , Zhang X.X. , Zhang R. , Feng J.Y. , Thakur K. , Zhang J.G. , Wei Z.J.
Published: January 2023

In this study, the innovative use of sericin peptide (SRP) as an anti-hardening ingredient was studied and investigated for the anti-hardening effect on high protein nutrition bars (HPNBs) made from soybean protein isolate (SPI). Texture analysis showed that the addition of SRP to the SPI-HPNBs alleviated the hardening of the samples during early storage (72 h). The mobility of water and small molecules in the samples were improved by the addition of SRP. CLSM, SEM and AFM showed that SRP slowed down the phase separation in the samples and maintained the microstructure. The addition of SRP resulted in changes in ζ-potential, protein secondary structure content and surface hydrophobicity, which prevented self-aggregation of proteins. Overall, SRP could effectively hinder the phase separation of SPI-HPNBs caused by water migration and protein self-aggregation during early storage and alleviate the hardening, and this effect increased with the increase of SRP concentration. These results suggest that SRP can be used as a promising anti-hardening ingredient in the food industry to improve the texture of food products.
Nurses Leading Partnership-Driven Transformation to Address the Nursing Shortage
Authors: Jones Natalie , Spiva LeeAnna
Published: January 2023

For various reasons, including the pandemic's toll, many nurses are preparing to exit their roles or leave the profession entirely. Addressing attrition requires health care systems to develop comprehensive workforce strategies to enhance the nursing pipeline. Health care systems must proactively address challenges through innovative workforce solutions using an academic–practice partnership model while incorporating high schools and post-secondary schools. This column will discuss how nurse leaders in a health care system address attrition through academic–practice partnership models, innovative strategies, and outcomes data.

[
J Contin Educ Nurs
. 2023:54(2):53–55.]
Pilot Study Using Cognitive Rehearsal, Simulation, and Biomarker Data to Address Workplace Incivility
Authors: Clark Cynthia M. , Kardong-Edgren Suzan , Willhaus Janet
Published: January 2023

Background:

Workplace incivility poses a threat to patient safety. This intervention pilot study used simulation and biomarker data with newly graduated nurses to explore the impact of incivility on patient care and tested whether cognitive rehearsal could mitigate the effects of workplace incivility.

Method:

A clinical scenario and script were used by actors to deliver either an uncivil or a hurried but not uncivil handoff report to participants before they conducted a focused patient assessment and administered medications to a standardized patient.

Results:

Participants identified gaps in understanding of both handoff reports that resulted in compromised patient care. Quantitative trends showed lower resilience scores and higher stress appraisal scores for participants who received the uncivil handoff report.

Conclusion:

Although participants expressed confidence using cognitive rehearsal as an intervention before the simulation, responses indicated that a 60-minute session was insufficient to adequately prepare them to effectively address an uncivil nurse encounter.

[
J Contin Educ Nurs.
2023;54(2):79–88.]
Cartilage Restoration Prior to Primary Total Knee Arthroplasty
Authors: Chen Zhongming , Sax Oliver C. , Bains Sandeep S. , Delanois Ronald E. , Nace James
Published: January 2023

Cartilage restoration procedures are effective for articular defects of the knee. However, studies suggest decreased clinical improvements after total knee arthroplasty (TKA). The purpose of this study was to compare patients who had a prior cartilage restoration undergoing TKA with patients who had TKA without a prior cartilage restoration procedure. We specifically assessed (1) 90-day and 1-year medical/surgical complications; (2) 90-day and 1-year revision rates; and (3) 90-day costs. A search using a national, all-payer database examined matched cohorts of patients who underwent cartilage restoration procedures prior to TKA (n=22,072) and controls who did not (n=220,364) between January 1, 2010, and April 30, 2020. Cartilage restoration procedures included autologous chondrocyte implantation, microfracture, osteochondral autograft transfer system operations, or open and arthroscopic osteochondral allograft transplantation. Outcomes studied included lengths of stay, 30-day readmission rates, 90-day costs, and medical and surgical complications to include 90-day and 1-year prosthetic joint infections, pathologic fractures, dislocations, knee manipulations, and revisions. Comparable rates of 90-day and 1-year medical and surgical complications were found for TKAs after cartilage restoration. Additionally, 90-day and 1-year revision surgery rates were similar. These patients were also found to have 90-day costs almost identical to those of patients who did not have cartilage restoration. This large analysis of patients with cartilage restoration procedures prior to TKA demonstrated that the complication rates may be similar to those of patients who do not have these operations before TKA. These findings provide valuable information to surgeons and patients when deciding to proceed with TKA after cartilage restoration. [
Orthopedics.
2023;46(4):250–255.]
The Relationship Between Social Support, Fear, and Psychological Distress Among Frontline Nurses During the COVID-19 Pandemic in Indonesia
Authors: Effendy Christantie , Margaretha Sumarti Endah Purnamaningsih Maria , Helmi Mochamat , Ferhonika Anas , Masdar Mahmasoni
Published: January 2023

The current cross-sectional study aimed to examine the relationship between social support, fear, and psychological distress among frontline nurses during the coronavirus disease 2019 (COVID-19) pandemic. Participants from 20 wards for adult patients from public and private hospitals in Indonesia were recruited. The Fear of COVID-19 Scale, Job Stress Scale, and Perceived Social Support Questionnaire were used to measure outcomes of interest. Questionnaires were completed by a total of 211 nurses. High risk working unit, higher fear score, younger age, less working experience, and less social support were significant influences on nurses' psychological distress. Social support as a modifiable factor is a potential target for intervention strategies to manage psychological issues among nurses. Findings can help policymakers and managers better understand how to support frontline nurses' psychological health and maintain well-engaged nursing staff. [
Journal of Psychosocial Nursing and Mental Health Services, 61
(5), 53–58.]
Identification of potential SARS-CoV-2 papain-like protease inhibitors with the ability to interact with the catalytic triad
Authors: Muhammad Murtala , Habib I. Y. , Yunusa Abdulmumin , Mikail Tasiu A. , ALhassan A. J. , Alkhatib Ahed J. , Sule Hamza , Ismail Sagir Y. , Liu Dong
Published: January 2023

Severe acute respiratory syndrome corona virus2 (SARS-CoV-2) is responsible for the current pandemic that led to so many deaths across the globe and still has no effective medication. One attractive target is Papain-like protease (PLpro), which plays a critical role in viral replication. Several important structural features dictate access to the PLpro narrow active site, which includes a series of loops surrounding the area. As such, it is difficult for chemical compounds to fit the SARS-CoV-2 PLpro active site. This work employed a computational study to discover inhibitors that could bind to the SARS-COV-2 PLpro active site, mainly by virtual screening, molecular dynamic simulation, MMPBSA and ADMET analysis. Eight potential inhibitors were identified: carbonoperoxoic acid, Chrysophanol-9-anthrone, Adrenolutin, 1-Dehydroprogesterone, Cholest-22-ene-21-ol, Cis-13-Octadecenoic acid, Hydroxycarbonate and 1-(4-(4-Methylphenyl)-5-phenyl-1,3-oxazol-2-yl) isoquinoline, with binding scores of −4.4, −6.7, −5.9, −6.7, −7.0, −4.6, −4.5 and −5.6 kcal/mol, respectively. All these compounds interacted with critical PLpro catalytic residues and showed stable conformation in molecular dynamics simulations with significant binding energies of −12.73 kcal/mol, −10.89 kcal/mol, −7.20 kcal/mol, −16.25 kcal/mol, −19.00 kcal/mol, −5.00 kcal/mol, −13.21 kcal/mol and −12.45 kcal/mol, respectively, as revealed by MMPBSA analysis. ADMET analysis also indicated that they are safe for drug development. In this study, we identified novel compounds that interacted with the key catalytic residues of SARS-CoV-2 PLpro with the potential to be utilized for anti-Covid-19 drug development.
Natural products in drug discovery: meeting the urgency for new antimicrobials for human and veterinary use
Authors: Dias-Souza Marcus Vinícius , Perpétuo Arthur Azevedo , dos Santos Gabriel Souza , Machado Luiz Felipe Carreiro , dos Santos Renan Martins
Published: January 2023

The scenario of growing microbial resistance and of lack of interest of pharmaceutical companies in developing new antimicrobial drugs jeopardizes the present and the future of the treatment of infectious diseases. Different approaches such as antimicrobial peptides and CRISP-R have been explored to manage this situation, however, they have important limitations such as their high cost. Natural products comprise complex molecular structures for which reports of bacterial resistance are rare. They present specific and/or unspecific mechanisms of action that can be explored to provide safe and effective management of infectious diseases. In this review we assessed phytoextracts with evidence of their benefits for treating infectious diseases in humans and animals, towards the use of data for clinical and experimental purposes. Mechanisms of bacterial resistance to antimicrobials are also discussed.
Utilisation de l'information non financière dans les décisions de placement : nature et déterminants de l'expertise requise
Authors: Lionel BAHL , Aurélie DESFLEURS
Published: January 2023

L’étude modélise et analyse l’expertise nécessaire pour l’utilisation de l’information non financière dans les décisions de placement. À partir d’entrevues semi-dirigées avec des professionnels travaillant au sein d’une société d’investissement, le modèle élaboré décompose cette expertise en capacités à réaliser certaines tâches et en identifie les déterminants en termes de connaissances et d’expérience. Il explicite également comment la mobilisation au niveau organisationnel de ces capacités individuelles permet une intégration effective de l’INF. Les résultats de l’étude encouragent le recrutement, le développement professionnel et l’organisation stratégique des capacités identifiées, afin de favoriser une meilleure intégration d’INF aux décisions de placement.
A Study on Factors Influencing the Purchase Intention of Insurance Products Amongst Urban Households of Gandhinagar City
Authors: Trivedi Jigna Chandrakant , Soni Bindiya Kunal
Published: January 2023

This study is carried out to analyze how SERVQUAL factors together with customer satisfaction and customer trust to influence the purchase intention for the insurance industry in Gandhinagar, Gujarat. The primary data for the study was collected through a self-administered questionnaire. 379 responses were collected from the households of the selected region through the convenience sampling method. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were employed to check how tangibility, reliability, responsiveness, assurance, empathy, customer satisfaction, and customer trust influence the purchase intention of the households. The structural equation modelling (SEM) revealed that empathy, tangibility, reliability, and customer satisfaction positively influence the purchase intention of the respondents for the insurance policies.
Video Installation Art as a Platform for Promoting Mental Health Awareness
Authors: Mutanda Peter
Published: January 2023

The author has been exploring the efficacy of video installation art as a meritorious health promotion medium. The researcher first created an original award-winning video installation art project, “The Besiegement: Advocating Mental Health,” which was exhibited for different age groups in various venues around Zimbabwe from 2019 until April 2020. The project did not continue exhibiting until the end of 2020 as planned due to the COVID-19 pandemic. The author has been critically analysing recorded interviews, discussions, audience reception, and views on the installation art experience regarding its possibilities and challenges. The project outcome suggests its potential as an effective medium for empowerment and enlightenment on mental health issues. Thus, video installation art has potential as a commendable developmental communication tool.
Andrea Mantegna's Wedding Chamber
Authors: Montenegro Andres R. , Ushenko Audrey
Published: January 2023

The Wedding Chamber fresco, also known as Camera Picta, or La Camera Degli Sposi, painted by Andrea Mantegna at the dawn of the Renaissance, epitomizes the most outstanding expression of personal creativity and innovation from an artist that transformed the boundaries of representation and narrative inside the architectural space, to mix illusion and reality. He utilized the trompe l'oeil effect, the Oculus, and cinematic painted imaging on the walls, to reveal a world of fictional and symbolic situations combined with classical mythology. However, Andrea Mantegna playfully organized these compositional components, inaugurating a proto-technological system of visualization that transforms the viewer's perception in an immersive experience that goes beyond the mere effect of illusion. The research and the development of the installation described and explained with deconstruction of what Mantegna expressed masterfully at the end of the 15th century in the Saint Giorgio Castle in Mantua, Italy.
An Efficient Association Rule Mining-Based Spatial Keyword Index
Authors: Jia Lianyin , Tang Haotian , Li Mengjuan , Zhao Bingxin , Wei Shoulin , Zhou Haihe
Published: January 2023

Spatial keyword query has attracted the attention of many researchers. Most of the existing spatial keyword indexes do not consider the differences in keyword distribution, so their efficiencies are not high when data are skewed. To this end, this paper proposes a novel association rule mining based spatial keyword index, ARM-SQ, whose inverted lists are materialized by the frequent item sets mined by association rules; thus, intersections of long lists can be avoided. To prevent excessive space costs caused by materialization, a depth-based materialization strategy is introduced, which maintains a good balance between query and space costs. To select the right frequent item sets for answering a query, the authors further implement a benefit-based greedy frequent item set selection algorithm, BGF-Selection. The experimental results show that this algorithm significantly outperforms the existing algorithms, and its efficiency can be an order of magnitude higher than SFC-Quad.
A New Outlier Detection Algorithm Based on Fast Density Peak Clustering Outlier Factor
Authors: Zhang ZhongPing , Li Sen , Liu WeiXiong , Wang Ying , Li Daisy Xin
Published: January 2023

Outlier detection is an important field in data mining, which can be used in fraud detection, fault detection, and other fields. This article focuses on the problem where the density peak clustering algorithm needs a manual parameter setting and time complexity is high; the first is to use the k nearest neighbors clustering algorithm to replace the density peak of the density estimate, which adopts the KD-Tree index data structure calculation of data objects k close neighbors. Then it adopts the method of the product of density and distance automatic selection of clustering centers. In addition, the central relative distance and fast density peak clustering outliers were defined to characterize the degree of outliers of data objects. Then, based on fast density peak clustering outliers, an outlier detection algorithm was devised. Experiments on artificial and real data sets are performed to validate the algorithm, and the validity and time efficiency of the proposed algorithm are validated when compared to several conventional and innovative algorithms.
Combining BPSO and ELM Models for Inferring Novel lncRNA-Disease Associations
Authors: Yang Wenqing , Zheng Xianghan , Huang QiongXia , Liu Yu , Chen Yimi , Song ZhiGang
Published: January 2023

It has been widely known that long non-coding RNA (lncRNA) plays an important role in gene expression and regulation. However, due to a few characteristics of lncRNA (e.g., huge amounts of data, high dimension, lack of noted samples, etc.), identifying key lncRNA closely related to specific disease is nearly impossible. In this paper, the authors propose a computational method to predict key lncRNA closely related to its corresponding disease. The proposed solution implements a BPSO based intelligent algorithm to select possible optimal lncRNA subset, and then uses ML-ELM based deep learning model to evaluate each lncRNA subset. After that, wrapper feature extraction method is used to select lncRNAs, which are closely related to the pathophysiology of disease from massive data. Experimentation on three typical open datasets proves the feasibility and efficiency of our proposed solution. This proposed solution achieves above 93% accuracy, the best ever.
Challenges in Adoption of Business Analytics by Small Retailers
Authors: Nagpal Gaurav , Ray Anup Kumar , Kharkwal Nitisha , Jasti Naga Vamsi Krishna , Nagpal Ankita
Published: January 2023

Business analytics are transforming every industry in modern times, and the retail sector is not an exception to this. However, the adoption of analytics among small and medium enterprises is quite limited. There is a decent amount of research that has been done in the recent past on identifying the barriers of digitalization for small and medium enterprises. But any such work is missing in the case of analytics. Also, the small retailer, in particular, has been left untouched by the existing research studies when it comes to identifying what prohibits him from the use of analytics for making business decisions. Using a scientific way of data collection from small and mid-sized retailers and from retail industry experts, this study explores why the local retailers are reluctant to use analytics in their work and what can be done to make them more comfortable with the use of analytics. The study also proposes a novel framework for adoption of data analytics and titles it “SPEFSERT Framework.”
Reverse FinTech Socialisation
Authors: Abhijith P. S. , Antony Joseph K.
Published: January 2023

Technology has brought unprecedented changes in the financial realm, and its benefits were evident during the times of COVID-19. Nonetheless, digital divide has kept fintech out of the reach of many. Digital financial exclusion needs practical solutions to bring positive attitudes and confidence to use fintech among these segments. This is an original work that suggests reverse fintech socialisation as a tool to create such confidence within the digitally excluded. Employing a cross-sectional design, a sample of 349 middle-aged mothers was drawn from Kerala, India to examine the relationships between attitude, reverse socialisation, and confidence to deal in fintech. Findings supported the hypothesised relations between these variables and revealed that attitude predicts reverse fintech socialisation, which has a very high influence on confidence. Age, income, and income earner in the family too were found significant for confidence. Findings imply that policymakers can formulate interventions that make use of the youth to create confidence within the digital immigrants to use fintech.