Search

The healthy living character needs to be intervened and habituated in elementary school students because it positively impacts children’s healthy food intake (fruits and vegetables) and several psychosocial factors (attitudes, knowledge, and self-efficacy). Improving the character of a healthy life needs to be supported by determining an accurate strategy. The study aimed to identify healthy living character-building strategies of elementary school students. This study used systematic review with Preferred Reporting Items for Systematic reviews and Meta-analyses (PRISMA) guidelines. Searches for articles related to the topic used Open Knowledge Maps, Google Scholar and Litmaps and found 60 primary articles and supported by secondary sources such as books and proceedings. The review results in the descriptive analysis include geographical distribution and research design. The review results show that current research is still dominated by social cognitive theory and social learning theory, and treatment lengths are categorized into 40 weeks, six months and six years. The findings show that eight dominant strategies are used in shaping healthy living characters through healthy foods for the immune formation of elementary school students. The most effective strategies to facilitate healthy food for primary school students are the strategy of a mix of enhanced curriculum, cross-curriculum and experiential learning and other strategies such as parental involvement. This research provides insight into healthy living character-building strategies in elementary school students and can guide policymakers, principals, and teachers in the development of mixed strategies to improve children’s healthy living character.

AbstractMicronutrient deficiencies have been escalating at an alarming rate in Pakistan that posed severe health discrepancies in population with special reference to children and women. The present study was designed to develop micronutrient enriched sandwich biscuits to address malnutrition in vulnerable segments. For the purpose, the study was comprised of three phases, i.e. development of micronutrient enriched sandwich biscuits in 1st phase, while in 2nd and 3rd phase, nutritional and sensorial characterization were done, respectively. After fortification in the flour and shortening, the mixture was supplemented with soyabean flour and various treatments followed by preparation of biscuits. A micronutrient premix containing zinc, iron, vitamins D, A, and folic acid as fortificants was added at 50% of RDA based on the percentage daily attributes of these nutrient contents in all formulations. Fortified sandwich biscuits were analyzed for proximate composition, mineral profile, antioxidants, and sensory characteristics. The data collected for each characteristic was statistically analyzed. Results revealed that biscuits produced from 100% white flour showed the highest moisture content, i.e. 8.30% and the lowest results (4.50%) were shown by T4, whereas, the highest values of crude ash, fat, fiber, protein, NFE calcium, magnesium, iron, iodine, vitamin A, vitamin E and Folic acid were exhibited by T4. As far as the antioxidant profile of micronutrient fortified biscuits was concerned, T4 showed the highest content of catechin (44.67 ± 0.24 mg/100 g) followed by carotenoids (34.11 ± 0.08 mg/100 g), rosmaneric acid (25.77 ± 0.23 mg/100 g), ascorbic acid (21.24 ± 0.02 mg/100 g), carnosol (20.6 ± 0.10 mg/100 g), propylgallate (14.02 ± 0.13 mg/100 g), genistein (8.30 ± 0.24 mg/100 g), rosmarinic (5.89 ± 0.03 mg/100 g) and daidzein (2.71 ± 0.15 mg/100 g). It was conclusively envisaged that the fortified sandwich biscuits exhibited the promising micronutrients composition with special reference to Vitamin A, E, iron and folic acid, additionally, it also holds array of antioxidants thus proved effectual to uplift the nutritional status of target population.

Objective: This study was conducted to identify the components of Rights of the Child in the International Convention and to compare it to the upstream documents of the educational system of Iran. Method: The approach of the study was qualitative content analysis and the research method is documentary analysis. The research population of this study was the upstream documents of the educational system of Iran, (Document on the Fundamental Transformation of the Education System in Iran, the National Curriculum Document of the Islamic Republic of Iran, and the Vision Document of the Islamic Republic of Iran for the dawn of the Solar Calendar Year 1404), which was selected as a research sample through a purposive sampling. The data collection tool was observational review and the study of upstream documents. The method of data analysis is the analysis of the content of the above-mentioned three documents and its comparison with the components and clauses of the International Convention on the Rights of the Child. Findings: This research represented 6 categories of rights (educational, civil/political, social, cultural, economic and health). The results show that the conflict and disorganization in the legal definition of child and children in Iran, the lack of a specific national institution to prescribe and make policies in this field, the duality of the system of thoughts of the institutions in charge of child protection programs, the gap between the definitions of different institutions, including the institution of religion, law and rights relating to children and their rights, the gap between theory and practice in educational programs regarding children's rights, has led to the obstacles in the improvement of children's rights in Iran. Conclusion: Therefore, reviewing the definition of a child, making a detailed policy based on the components of children's rights, coordinating legal institutions regarding the strict observance of legal provisions in operational plans is very necessary. Keywords: child، Rights of the Child in the International Convention, the upstream documents of the educational system of Iran.

Many nations made pledges at the Paris climate conference to eventually become carbon neutral. As a result, the effects of eco-innovations (ECO), globalization (GLO), and economic growth (GDP) on CO2 emissions in a panel comprising India, Pakistan, Bangladesh, Nepal, Sri Lanka, and Bhutan are assessed in this work. This study employs a unique panel (QARDL) methodology to data from 1980Q1 to 2018Q4 for analysis. The purpose of this study is to find the relation between GDP, GLO, ECO and CO2. The results show that environmental quality is being harmed because of GLO and GDP. Climate-change-causing CO2 emissions are decreasing globally thanks to ECO. Furthermore, the Environmental Kuznets Curve (EKC) theory in developing nations has been confirmed by this work. This study implies that the selected South Asian countries should switch to renewable energy sources to improve environmental quality. In addition, governments will need to rethink their approach to global trade. Importing effective technologies for producing renewable energy should be a priority. The future looks bright for these nations, as rising environmental consciousness will likely lead to the adoption of stringent environmental rules.

To investigate the effects of cultivars on dry nut weight, kernel weight, oil content, and the main fatty acids of some cultivars and genotypes of almond, this study was conducted in 2019 in randomized complete blocks design with three replications. The findings revealed that the influence of genotype on all measured traits is significant. The results of oil content showed that D124 had the highest values in terms of oil content. Also, examination of kernel weight shows that there are significant differences between cultivars. So that the highest amount of kernel weight is related to genotype D at 2.19 grams, while the lowest amount of kernel weight is related to A5-17genotype at 0.52 grams. The investigation of nut weight analysis showed that genotype D had the highest value (6.40grams). All the traits considered in this research can be said that the D124 genotype and cultivars of Sahand, Shahroud 6, Saba, and Ruby respectively had oil content of 62.24, 62.12, 61.62, 60.41 and. 60.29 percent. In total, regarding to the all traits considered in this study, genotype D124 in the amount of 62.24% and then cultivars, Sahand, Shahroud 6, Saba, Ruby with oil values of 62.12%, 61.62%, 60.41% and 60.29, respectively. Also, palmitic acid, oleic acid, and linoleic acid in D124, Sahand, Shahroud 6, Saba, and Ruby were (5.44, 73.30 and 21.14%), (4.85, 76.33, and 18.48%), (5.64, 80.11 and 14.31%), (5.30, 73.89 and 20.80%) and (5.21, 77.44, and 16.32%) respectively. These are identified as the best cultivars and genotypes in terms of food quality in the climatic conditions of Karaj, which can be used for nutritional or technical applications to provide conditions for almond production and cultivation development.

The progress and development of science and technology that humans sometimes achieve cannot be separated from human exploration of the universe and its contents. The reason is that science and technology seek sources of knowledge from nature. And Islam, the religion sent down by Allah, which calls on humans to explore and experiment with nature, was one of the factors in this progress. Through the integration of faith and science and technology, it is hoped that various weaknesses and setbacks of Muslims can be corrected, so that they can again feel the progress and glory achieved by Muslims in classical times. This will also affect Islamic education which is expected to survive the rapid development of science and technology in this century. This research uses the library method or library research. The collection of data from this research comes from reading sources related to this discussion. The results of the research is synthesis or a combination of religion and science is the unification of human understanding, both of which are a unity of truth. Both come from the Almighty, namely Allah SWT. Both work side by side to fill human life.

Careful sensor placement is crucial in electromagnetic imaging experiments as it significantly impacts the quality and accuracy of the measurements. This study examines the placement of a network of sensors to advance the Bayesian learning with the aim of achieving a minimal level of uncertainty in a qualitative imaging regime. The quality of the measured data, associated with a network of sensors, is assessed by computing the expected text Kullback-Leibler divergence between the prior and the posterior distributions, wherein the Laplace approximation is invoked to reduce the associated computational cost. The numerical experiment is carried out to evaluate various sensor placement scenarios to identify the network geometry that can enhance the quality of inversion.

This article was motivated by the fact that most observers in Indonesia are inconsistent in determining the theoretical and practical beginning of the Hijri month. They only consider the aspect of the height of hilâl, but ignore the angle of elongation during the process of observing hilâl. This inconsistency occurs in the theory and practice reflected in the Decision of the Ministry of Religious Affairs of the Republic of Indonesia. Based on this case, the authors want to analyze the decision, especially the data on the testimony stating that the new moon (hilâl) can be successfully seen, as received from 1962 - 2021 M. The type of research used is qualitative and descriptive using the data analysis technique adapted from the Millis and Huberman theory to obtain the data classification of that decision by using the scientific cum doctrine approach. The results of this study are first; the number of ithbât maṣlaḥî reached 45% and ithbât takâmulî reached 55% of all decrees of the Minister of Religious Affairs of the Republic of Indonesia. Second; to minimize the number of ithbât maṣlaḥî, a theory of the selection of the hilâl testimony is needed, which is known as the M2P theory.

Abstract: The purpose of this study was to identify the relationship between five principal digital leadership constructs, namely visionary leadership, digital age learning culture, excellence in professional practice, systemic improvement, and digital citizenship with teacher performance and student competence in the 21st century. The number of samples in This study consisted of 96 people consisting of principals and teachers from 24 schools. The data analysis in this study used SEM with the help of the AMOS 24 program. The results showed that the five components of digital leadership namely visionary leadership, digital age learning, excellent in professional, systemic improvement, and digital citizenship have a direct effect on teacher performance and student competence in the century era. 21. The five components of digital leadership also indirectly affect student competence through teacher performance. The contribution of this research shows that with adequate digital leadership practices, supporting the efforts of teachers in achieving the expected performance, can improve student competence in the 21st century era. Keywords: digital leadership, teacher performance, student competence, elementary school Abstrak: Tujuan penelitian ini adalah untuk mengidentifikasi hubungan antara lima konstruksi kepemimpinan digital kepala sekolah, yaitu kepemimpinan visioner, budaya pembelajaran zaman digital, keunggulan dalam praktik profesional, peningkatan sistemik, dan kewarganegaraan digital dengan kinerja guru dan kompetensi siswa di abad 21. Jumlah sampel dalam penelitian ini sebanyak 96 orang terdiri dari Kepala Sekolah dan Guru dari 24 Sekolah. Analisis data dalam penelitian ini menggunakan SEM dengan bantuan program AMOS 24. Hasil penelitian menunjukkan kelima komponen digital leadership yakni visionary leadership, digital age learning, excellent in professional, systemic improvement, dan digital citizenship berpengaruh secara langsung terhadap kinerja guru dan kompetensi siswa di era abad 21. Kelima komponen digital leadership tersebut juga berpengaruh secara tidak langsung terhadap kompetensi siswa melalui kinerja guru. Kontribusi penelitian ini menunjukkan bahwa dengan praktik kepemimpinan digital yang memadai, mendukung upaya guru dalam mencapai kinerja yang diharapkan, dapat meningkatkan kompetensi siswa diera abad 21. Kata kunci: digital leadership, kinerja guru, kompetensi siswa, sekolah dasar

Maize bran is a by-product obtained after the milling of maize kernels and separated as by-product. The current research aimed to extract and characterize the arabinoxylans (AXs) and their gels from maize bran. Initially, maize bran was evaluated for its proximate composition and dietary fiber profile. Then, AXs were extracted through alkali extraction method, and in vitro gelation of AXs was performed through enzymes (laccase from Termites versicolor). Their structure was characterized through Fourier transform infrared (FTIR) spectroscopy and scanning electron microscopy (SEM). Further, the phenolic compounds and their activity was assessed through three different assays including diphenyl picryl hydrazyl (DPPH), ferric reducing antioxidant power (FRAP), and ABTS+. The results regarding the chemical composition of maize bran showed that maize bran majorly comprised moisture, ash, crude fat, fiber, crude protein and nitrogen-free extract with 10.13 ± 0.46, 1.87 ± 0.15, 1.26 ± 0.26, 7.53 ± 1.00, 12.67 ± 0.75, and 66.54 ± 0.82 g/100 g of the sample. Further, dietary fiber profile showed that maize bran comprised 6.97 ± 0.5 and 35.20 ± 4.1% soluble and insoluble fractions of dietary fibers. Then, the structural characterization of maize bran through FTIR spectroscopy showed a typical spectrum and presented the peaks at different wavelengths, which was similar to structural features as described in previous studies. Surface morphology of gel through SEM showed micrographs with small pores, which according to our information was formed due to laccase (enzymes) activity. However, quantification of polyphenols including total phenolic content and total flavonoid content showed the results including 6.42 ± 0.18 GAE/g and 1.84 ± 0.66 CE/g and their activity assessed through DPPH, FRAP, and ABTS+ assays showed the values including 31.62 ± 0.16, 34.87 ± 0.18, and 14.21 ± 0.18 μmol TE/g, respectively. The results in this study showed that maize bran AXs and their gels showed an interesting trend in their structural and antioxidant potential.

Consumers demand for functional foods and nutraceutical is increasing owing to their health endorsing properties. Natural bioactive compounds are getting attention due to their health promoting potential. In addition, the extraction of these bioactive compounds is a significant industrial and technological perspectives. These bioactive moieties can be extracted via various conventional and modern methods. For instance; solid-phase extraction, solid-phase micro-extraction, and liquid-liquid extraction are considered as traditional/conventional methods. In contrast, modern eco-innovative methods for extraction such as ultrasound-assisted extraction (UAE), microwave-assisted extraction (MAE), pulsed electric field (PEF), supercritical fluid extraction (SFE), instant controlled pressure drop (DIC), etc. are more economical and environment friendly. Additionally, these are ever-increasing demands of energy-efficient methods for the recovery of valuable compounds. Moreover, these methods produced less wastewater and hazardous substances. Conclusively, this review highlighted the conventional and modern extraction technologies and the role of these eco-innovative technologies in achieving the goal of a sustainable food system.

Agro-industrial waste has proved a huge problem owing to its disposal and impact on the environment. The eco-innovative technologies are applied to utilize waste as a resource. The mandate of the current investigation was to extract and characterize the bioactive molecules with special reference to luteolin from peanut shells through different innovative extraction techniques. This study was divided into two modules, in first the extraction of polyphenols was done through conventional and ultrasonic-assisted extraction (USE) by utilizing different solvents (ethanol 80%, methanol 80%, and water) and time intervals (5, 10 and 15 min for ultrasound and 30,60 & 90 min for conventional extraction technique) alongside HPLC and amino-acid characterization of a peanut shell. The results indicated that ultrasound proved significantly (p

Prebiotics-based encapsulation aids in improving the structure of microbeads and the survivability of probiotics. The current study focused on the exploration of a prebiotic-based encapsulation system (alginate-inulin) to improve the viability of probiotics under in vitro and carrier food. Probiotic (L. acidophilus) was encapsulated by the ionotropic gelation method. Microbeads with inulin inclusion were found to be compact and smooth with the highest encapsulation efficiency (98.87%) among the rest of the treatments. Alginate-inulin-based microbeads showed the highest count (8.41log CFU) as compared to other treatment as well free cells under simulated gastrointestinal conditions. Furthermore, alginate-inulin encapsulation maintained recommended (107–108 log CFU/ml) probiotic viability in carrier food throughout the storage period. Probiotic encapsulation aids in controlling the post-acidification of the carrier product (yogurt). The results of this study indicated that the alginate-inulin-based encapsulation system has promising potential to ensure the therapeutic number of probiotics in vitro as well in carrier foods.

The present study was conducted to determine the effect of gamma irradiation and Asparagus racemosus on the storage stability and shelf life of shrimp patties. Gamma irradiation (3 kGy and 5 kGy) and Asparagus racemosus powder (3%) were applied to measure microbial activity, physiochemical chemical analysis, antioxidant potential, TVBN value, TBARS value, and POV of shrimp patties. The total aerobic bacteria and coliform count were reduced with the increase in irradiation dose. The DPPH and TPC were decreased with irradiation dose but addition of 3% ARP increased the values. TVBN values significantly decreased at 0 day of storage and increased with storage time. The TBARS and peroxide values (POV) howed significant increase with the increase in irradiation dose at different storage (0, 7, 14, and 21 day). The minimum changes were observed in sensory attributes (i.e. appearance, taste, odor, texture, and overall acceptability) on different treatments at storage intervals. The aim of this study showed that different doses of gamma irradiation and Asparagus Racemosus are valuable to improve the shelf stability and quality of shrimp patties.

Model Akuisisi Kredit Semester merupakan model kerjasama Program Studi S-1 Pendidikan IPS Unesa dalam mengembangkan Kurikulum Merdeka Belajar Kampus Merdeka (MBKM) melalui kerja sama dengan prodi lain yang memiliki keterkaitan sesuai profil lulusan dan capaian pembelajaran lulusan sebagai guru IPS. Adapun profil tambahan lulusan adalah Pemandu Wisata Sejarah dan Budaya. Kompetensi ini sangat sesuai dengan paket mata kuliah yang ada di Program Studi S-1 Pendidikan Sejarah Unesa. Setelah melakukan analisis situasi terkait dengan kerja sama pada kurikulum MBKM antar dua program studi, dapat teridentifikasi tiga hal. Pertama, tidak ada pertukaran seimbang antara program studi yang bekerjasama. Kedua, terdapat kesetaraan jumlah SKS paket yang ditawarkan Program Studi Pendidikan Sejarah dan Program Studi Pendidikan IPS yakni 18 SKS. Ketiga, adanya persamaan waktu kegiatan yaitu pada semester ke-5. Berdasarkan pertimbangan tersebut, maka disusun Model Akuisisi Kredit Semester dalam kerja sama antar prodi dalam satu perguruan tinggi pada implementasi kurikulum MBKM. Target yang dihasilkan program ini antara lain, 1) Laporan hasil penyusunan Kurikulum MBKM Program Studi S-1 Pendidikan IPS beserta prosedur konversi dan pengakuan kredit; 2) Dokumen kurikulum MBKM Program Studi S-1 Pendidikan IPS; 3) Panduan implementasi kurikulum dengan Model “Akuisisi Kredit Semester”; dan 4) Nota kerjasama dengan Model Akuisisi Kredit Semester. Tahapan program ini terbagi menjadi 6 (enam) tahap yaitu: 1) Tahap pengembangan kurikulum; 2) Tahap sanctioning; 3) Uji Publik; 4) Pengajuan MoA; 5) Implementasi kerjasama kurikulum MBKM dan monev pembelajaran; dan 6) Penyusunan laporan kegiatan.

Abstract Introduction Diagnosis of lung cancer often results in tremendous stress for most patients, especially in patients with underlying psychological illness. Psychosocial support (consultation with psychologist, psychotherapist, or social worker) referral is considered standard for quality cancer care; however, which patients utilize these resources and how these resources affect patient outcomes remain unclear. Objectives We aimed to identify which newly diagnosed lung cancer patients accessed available psychosocial resources and assessed how utilization of these resources correlated with treatment and survival outcomes. Methods Data were collected from National Cancer Institute‐designated cancer center at the University of New Mexico. We analyzed lung cancer registry and mortality data at the cancer center and bronchoscopy suite data to retrospectively identify patients diagnosed with lung cancer between 2012 and 2017. We used a logistic regression model to compare psychological support utilization at the cancer center between patients with and without history of psychiatric illness. We used a Cox proportional hazards model to identify individual risk factors for mortality. Results Patients with a previous psychological diagnosis were 2.4 times more likely (odds ratio = 2.443; confidence interval [CI], 1.130–5.284) to utilize psychological resources than patients without a pre‐cancer psychological diagnosis. Patients who received psychosocial intervention had a 120.4% higher hazard of dying than those who did not (hazard ratio = 2.204; 95% CI, 1.240–3.917). One‐year survival probability among those who did not utilize resources was 62.65% (95% CI, 55.24%–71.06%) and 43.0% (95% CI, 31.61%–58.50%) among those who did. Patients with a previous psychiatric diagnosis were more likely to utilize psychosocial resources within 1 year of lung cancer diagnosis. Conclusions Patients with previous psychiatric illness are more likely to utilize psychosocial resources at the cancer center after a new diagnosis of lung cancer. Patients who utilize psychosocial interventions have higher 1‐year mortality than those who do not.

Bendungan Serayu merupakan salah satu bendung yang dibangun di ruas sungai dengan kemiringan dasar sungai yang landai. Bendungan Serayu yang dibangun pada tahun 1993 digunakan untuk memenuhi kebutuhan air irigasi untuk daerah irigasi Gambarsari - Pesangrahan dengan luas lahan irigasi ± 20.795 ha dan untuk memenuhi kebutuhan air baku di Kabupaten Cilacap. Karena bendung ini terletak di segmen sungai yang landai, dengan karakteristik tersebut bendung akan mudah meningkatkan sedimen di bagian hulu bendung akibat rendahnya kecepatan aliran dari bendung bagian hulu. Kajian ini dimaksudkan untuk menganalisis peningkatan sedimentasi pada bendung hulu berdasarkan analisis transpor sedimen model Shen dan Hung. Analisis peningkatan sedimen di hulu bendung dilakukan untuk tahun studi 2007-2036. Hasil penelitian ini menunjukkan bahwa peningkatan sedimentasi di hulu Bendungan Gerak Serayu terus berlanjut sepanjang tahun 2007-2036. Kemudian dengan menggunakan analisis prediktif model polinomial orde dua, hingga tahun 2036 terjadi peningkatan sedimentasi di bagian hulu Bendungan Serayu sebesar 15.392 ton/hari.

In 2020, the COVID-19 pandemic disturbed the world's Agri-businesses. Several economies are attempting to demonstrate attempts to maintain agribusiness, the agriculture industry, and marketplaces, but distribution networks, access to markets, and affordable farm goods are still vulnerable. The poor and various disempowered populations, particularly those with lower buying power, have been harmed by the COVID-19 outbreak. This study examines the productivity of Central Europe's agricultural SMEs during the COVID-19 pandemic. A predictive model between independent and dependent factors was used to determine and forecast the index or risk for future agricultural SMEs' functioning. The Central European agricultural SMEs' performance indicators were used, such as agricultural output, production of agriculture goods and services, vegetable and horticultural products, fixed capital consumption, agriculture determinants' actual income index, absolute net agriculture business income index, and net agricultural entrepreneurial income. Our results reveal pre and post-COVID-19 agribusiness analyses and their implications for food distribution and sustainability. Our findings also revealed a widespread influence of COVID-19 on Central European areas. The study findings can help agricultural enterprises and policymakers manage the COVID-19 outbreak by providing essential recommendations and consequences.

The advancement of nanobiotechnology is happening with leap and bound and the maneuvering in application of nanofluids in medical field is emerged as major research topic in recent times. Motivated by key applications in this direction, the current investigation embarks to explore the hybrid nanofluid dynamics in a ciliated inclined microchannel with various physical impacts, electromagnetohydrodynamic (EMHD), gyrotactic microorganisms, activation energy, and solar radiation. The pertinent equations of motion are tackled with low Reynolds number, long wavelength, and Debye–Huckel linearization approximations. The resulting equations of motion after simplifications tackled with the implementation numerical computations in Mathematica. The variations of pivotal physical parameters on the flow dynamics and thermal axiom are exhibited with graphical illustrations. It is worth mention here that the Hartmann, Grashof, electroosmotic, buoyancy, bioconvection parameters surged the hybrid nanofluid velocity adjacent to right wall. The temperature goes down with the thermal radiation and thermophoresis parameters. The radiation, Brownian motion, thermophoresis parameters reinforce the nanoparticle volume fraction, and motile microorganisms. The reported investigation has great significance for physiological fluid transport in the gastrointestinal tract, managing the bleeding by manipulating the magnetic field and in drug infusion mechanism.

In this study, the oil-in-water nanoemulsion (NE) was prepared and loaded with vitamin D3 in food-grade (edible) canola oil and stabilized by Tween 80 and Span 80 by using a water titration technique with droplet sizes of 20 to 200 nm. A phase diagram was established for the influence of water, oil, and S-Mix concentration. The outcomes revealed that the particle size of blank canola oil nanoemulsion (NE) ranged from 60.12 to 62.27 (d.nm) and vitamin D3 NE ranged from 93.92 to 185.5 (d.nm). Droplet size and polydispersity index (PDI) of both blank and vitamin D3-loaded NE results were less than 1, and zeta potential results for blank and vitamin D3 loaded NE ranged from −9.71 to −15.32 mV and −7.29 to −13.56 mV, respectively. Furthermore, the pH and electrical conductivity of blank NE were 6.0 to 6.2 and 20 to 100 (μs/cm), respectively, whereas vitamin D3-loaded NE results were 6.0 to 6.2 and 30 to 100 (μs/cm), respectively. The viscosity results of blank NE ranged from 0.544 to 0.789 (mPa.s), while that of vitamin D3-loaded NE ranged from 0.613 to 0.793 (mPa.s). In this study, the long-term stability (3 months) of canola oil NE containing vitamin D3 at room temperature (25 C) and high temperature (40 C) was observed.

Sustainability ensures well-being for people and communities worldwide and helps shape the world's present and future. A global transformation is required by adopting renewable energy sources to achieve sustainability. Sustainability trends have been examined using this study for the period 1992–2018 for G20 countries. The study uses indicators like ecological footprints, natural resources, renewable energy (RE), and non-renewable energy (NRE), along with gross domestic product (GDP) and capital formation. A cross-sectional-ARDL approach has been used to examine short- and long-term relationships. The presence of stationarity property, cross-sectional dependence, panel cointegration, and slope heterogeneity have been confirmed during initial testing. The empirical result confirms that using renewable energy impacts environmental sustainability in the long run and causes a decrease in ecological footprints.On the contrary, non-renewable energy and natural resources contribute to the negative shift in sustainable development. The consistency of results has also been confirmed using robustness checks under the AMG and FMOLS approaches. The study concludes that G20 countries should promote renewable energy to empower the United Nations' agenda for sustainable development.

Incorporating anisotropy is crucial for accurately modeling seismic wave propagation. However, numerical solutions are susceptible to dispersion artifacts, and they often require considerable computational resources. Moreover, their accuracy is dependent on the size of discretization, which is a function of the operating frequency. Physics informed neural networks (PINNs) have demonstrated the potential to tackle long-standing challenges in seismic modeling and inversion, addressing the associated computational bottleneck and numerical dispersion artifacts. Despite progress, PINNs exhibit spectral bias, resulting in a stronger capability to learn low-frequency features over high-frequency ones. This paper proposes the use of a simple fully-connected PINN model, and evaluates its potential to interpolate and extrapolate scattered wavefields that correspond to the acoustic VTI wave equation across multiple frequencies. The issue of spectral bias is tackled by incorporating the Kronecker neural network architecture with composite activation function formed using the inverse tangent (atan), exponential linear unit (elu), locally adaptive sine (l-sin), and locally adaptive cosine (l-cos) activation functions. This allows the construction of an effectively wider neural network with a minimal increase in the number of trainable parameters. The proposed scheme keeps the network size fixed for multiple frequencies and does not require repeated training at each frequency. Numerical results demonstrate the efficacy of the proposed approach in fast and accurate, anisotropic multi-frequency wavefield modeling.

Abstract The fabrication of high‐speed electronic and communication devices has rapidly grown the demand for high mobility semiconductors. However, their high cost and complex fabrication process make them less attractive for the consumer market and industrial applications. Indium nitride (InN) can be a potential candidate to fulfill industrial requirements due to simple and low‐cost fabrication process as well as unique electronic properties such as narrow direct bandgap and high electron mobility. In this work, 3 µm thick InN epilayer is grown on (0001) gallium nitride (GaN)/Sapphire template under In‐rich conditions with different In/N flux ratios by molecular beam epitaxy. The sharp InN/GaN interface monolayers with the In‐polar growth are observed, which assure the precise control of the growth parameters. The directly probed electron mobility of 3610 cm2 V‐1 s‐1 is measured with an unintentionally doped electron density of 2.24 × 1017 cm‐3. The screw dislocation and edge dislocation densities are calculated to be 2.56 × 108 and 0.92 × 1010 cm‐2, respectively. The step‐flow growth with the average surface roughness of 0.23 nm for 1 × 1 µm2 is confirmed. The high quality and high mobility InN film make it a potential candidate for high‐speed electronic/optoelectronic devices.

Scraped surface heat exchanger (SSHE) is vibrantly utilized in various industries. The heat exchanger devices play pivotal role in the energy transfer phenomenon between the fluids, and it improves the efficient use of energy. The steady isothermal flow of a rheological aqueous ionic solution in a narrow gap scraped surface heat exchanger is explored. The mathematical model is established with the aid of lubrication approximation theory and extracted analytical solution. Exact analytical expressions are gathered for velocities, volume fluxes, pressure gradients, pressure at the edges of the blades and stream functions in the various stations of SSHE. Strength of significant flow parameters on the velocities, volume fluxes, pressure gradients, pressure at the edges of the blades and stream functions is revealed with aid of various plots. Significant enhancement in the velocity profile is observed in main domain of the flow with increasing ratio of relaxation to retardation time parameter and Helmholtz Smoluchowski velocity. While, it is observed that electro-osmotic parameter creates impediments to the flow.

The educational landscape has been significantly influenced by the rapid development of technology, especially in the instructional process. Examining teachers’ professional digital competence (TPDC) in Indonesia, a developing country, is of utmost importance. It is vital to comprehend the extent of professional digital competence among teachers to identify potential gaps and areas for improvement through training programs. This investigation aims to shed light on disparities and formulate strategies to bridge the digital divide. In this context, the principal’s instructional e-supervision (PIS) and technology leadership (PTL) play a pivotal role in nurturing a school’s digital culture (SDC). This culture is crucial for ensuring the effectiveness of the collaborative learning process that meets the needs of students in this digital-savvy era. Therefore, this study delves into the structural impact of PIS and PTL on TPDC mediated by SDC. Quantitative methods were employed to address research hypotheses through structural equation modeling (SEM) analysis with AMOS, utilizing inner and outer model techniques. Carried out in seven senior high schools in Indonesia, the research involved 257 productive teachers randomly selected from a population of 450. The findings revealed that PIS directly influences TPDC, albeit with the most negligible coefficient (0.192). Simultaneously, PTL directly impacts SDC (0.663) and TPDC (0.229). Moreover, SDC significantly influences TPDC (0.816). However, the direct coefficient of PTL has a more substantial impact on SDC than on TPDC. Consequently, the structural model suggests that PTL will profoundly influence TPDC when mediated by SDC (0.541). In light of these results, this study recommends the application of principal technology leadership-based humbleness for future research.

Cough-based diagnosis for respiratory diseases (RDs) using artificial intelligence (AI) has attracted considerable attention, yet many existing studies overlook confounding variables in their predictive models. These variables can distort the relationship between cough recordings (input data) and RD status (output variable), leading to biased associations and unrealistic model performance. To address this gap, we propose the Bias-Free Network (RBF-Net), an end-to-end solution that effectively mitigates the impact of confounders in the training data distribution. RBF-Net ensures accurate and unbiased RD diagnosis features, emphasizing its relevance by incorporating a COVID-19 dataset in this study. This approach aims to enhance the reliability of AI-based RD diagnosis models by navigating the challenges posed by confounding variables. A hybrid of a Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) networks is proposed for the feature encoder module of RBF-Net. An additional bias predictor is incorporated in the classification scheme to formulate a conditional Generative Adversarial Network (c-GAN) that helps in decorrelating the impact of confounding variables from RD prediction. The merit of RBF-Net is demonstrated by comparing classification performance with a State-of-The-Art (SoTA) Deep Learning (DL) model (CNN-LSTM) after training on different unbalanced COVID-19 data sets, created by using a large-scale proprietary cough data set. RBF-Net proved its robustness against extremely biased training scenarios by achieving test set accuracies of 84.1%, 84.6%, and 80.5% for the following confounding variables—gender, age, and smoking status, respectively. RBF-Net outperforms the CNN-LSTM model test set accuracies by 5.5%, 7.7%, and 8.2%, respectively.

AbstractGamma Ray (GR) log is widely used to overcome the lack of continuous core samples and thin sections in many subsurface reservoirs, significantly reducing the uncertainty of presenting a robust sequence stratigraphic framework. The Lower Cretaceous Fahliyan Formation and Late Cretaceous Sarvak carbonates host important hydrocarbon accumulations in SW Iran and the Persian Gulf. This study addresses the application of Gamma Ray Dynamic Integrated Prediction Error Filter Analysis (GR D-INPEFA) and Normalized Cumulative Gamma Deviation Log (NCGDL) curves to discriminate and correlate sequences of the studied carbonates in two giant oil fields in the Abadan Plain and Northwestern Persian Gulf. In the first stage, depositional sequences were differentiated using the results from the core description and petrographic analysis. In this respect, four and three third-order depositional sequences were identified in the Sarvak and Fahliyan formations respectively. In the second stage, according to the turning points of the D-INPEFA and NCGDL curves, they were picked as positive or negative breaks in all studied wells. Based on calibrating the results from the analysis of D-INPEFA curve with the identified depositional sequences, positive changes (PB) occur at sequence boundaries (SB) and negative trend (NB) changes are associated with maximum flooding surface (MFS). The trend of changes in the NCGDL curve compared to the D-INPEFA curve is quite opposite. In other words, Positive Surfaces (PS) correspond to MFS and Negative Surfaces (NS) occur at SB. The results demonstrate that the proposed integrated method is feasible and effective to identify sequence stratigraphic key surfaces in similar carbonate and siliciclastic reservoirs of Iran.Keywords: Sarvak, Fahliyan, Gamma Ray Log, Sequence Stratigraphy, Stratigraphic Key Surfaces IntroductionThe distribution of various components of the petroleum systems (source, reservoir and cap rocks), generally has a close relationship with the sequence stratigraphy pattern (Parvin et al. 2019; Makled et al. 2020). Data from various sources with different scales, such as microscopic thin sections study, cores interpretation, petrophysical log signature, and seismic sections, can be employed in sequence stratigraphic investigations (Van Buchem et al. 2011; Kadkhodaie and Rezaee 2017; Tavakoli 2017; Guo et al. 2021; Yong et al. 2021; Hassan et al. 2022). The identification of key sequence stratigraphic surfaces is typically done accurately by information and results provided by cores and microscopic thin sections study. Nevertheless, cores are only available in limited and sparse wells as a discontinuous nature due to the high cost, lengthy process, and limited cores preparation (Hassan et al. 2022). Hence, it is crucial to identify a method that, in conjunction with the core data, can provide a precise and continuous comprehension of the sequence stratigraphic framework at the well scale.Petrophysical well log data especially GR log has long been used in sequence stratigraphic interpretation (Catuneanu 2006; 2017). Due to its low impact from environmental factors, stability against diagenesis processes, and availability in the majority of drilled wells in a field, the GR log is effectively used in identifying sequences and interpreting key sequence stratigraphic surfaces (Moghaddasi et al. 2020; Falahatkhah et al. 2021). The possibility of a comprehensive understanding of the relationship between key sequence stratigraphic surfaces, and a numerical interpretation of the GR log in recent studies is highlighted (Falahatkhah et al. 2021). The curve of D-INPEFA and NCGDL are effective in identifying and matching key sequence stratigraphic surfaces (Behdad 2019; Mayhoub et al. 2019; De Jong et al. 2020; Moghaddasi et al. 2020; Khalili et al. 2021; Yong et al. 2021; Kassem et al. 2022).In this study, the application of GR D-INPEFA and NCGDL curves to discriminate and correlate the sequence surfaces of the Sarvak and Fahliyan formations in two giant oil fields in the Abadan plain and Northwestern Persian Gulf was investigated. This study was conducted to reveal the response of GR D-INPEFA and NCGDL curves to key sequence stratigraphic surfaces including SB, MFS, and systems tracts. Material & MethodsBy integrating the results of core intervals description, thin sections study and GR well log data from the Sarvak and Fahliyan formations in two giant oil fields in the Abadan Plain and Northwestern Persian Gulf, it was possible to identify and present sequence stratigraphic framework. For sequence stratigraphic analysis in this study, we employed the van Wagoner model (Van Wagoner et al. 1990). In this model, a depositional sequence is discriminated by identifying two key surfaces including SB and MFS, as well as the transgressive system tract (TST) and high-stand system tract (HST). The integration of petrography analysis and core descriptions was employed to identify the main facies in the studied carbonate succession. Afterward, SB and MFS have been interpreted by integrating interpreted facies and main diagenesis features related to disconformity surfaces. Finally, the identified depositional sequences based on geological studies were compared to the discriminated turning point in cyclostratigraphy via INPEFA and NCGDL curves. Ultimately, the efficiency of this numerical method was determined based on correspondence and agreement of the results with the discriminating of the depositional sequences via geological interpretation. Discussion of Results & ConclusionIn the D-INPEFA curves, the upward trend is called the PB and the downward trend is called NB. The positive trend represents transgressive and the negative trend represents regressive. The positive changes in PB occur at SB and negative trend changes in NB show MSF. On the other hand, the trend of the NCGDL curve completely shows the opposite trend of the D-INPEFA curve. The turning points of the NCGDL curve, including PS and NS, correspond to some levels of maximum inundation and SBs, respectively.The following findings were obtained after investigating the sequence stratigraphic framework of the Sarvak and Fahliyan formations in two giants of fields:1- Four and three third-order sequences were identified in the Sarvak and Fahliyan formations respectively, based on facies interpretation and the pattern of shallowing and deepening facies trends. The disconformity surfaces which are recognized as an SB are discriminated by some evidence, including karstification and brecciation.2- In general, GR log interpretation and calculating INPEFA and NCGDL curves show that PB and NS occur at SB, NB and PS show MFS. As a result, such picked breaks and surfaces are timelines that can be calibrated with facies changes and key sequence stratigraphic surfaces and correlation in the field scale.3- The relationship between the turning points of the D-INPEFA and NCGDL curves with sequence stratigraphic surfaces is not absolute, and in some cases, this relationship can be ambiguous, inverse, or unrelated. In other words, to reduce the uncertainty in the presenting sequence stratigraphy correlation with these curves, the sequences should first be identified through the results of the direct data including core and thin section, and use these curves for correlation after presenting the sequence framework.

Near-infrared stimulated emission from a high-quality InN layer under optical pumping was observed with a threshold excitation power density of 0.3 and 4 kW cm−2 at T = 8 and 77 K, respectively. To achieve such a low threshold power density, vicinal GaN substrates were used to reduce the edge-component threading dislocation (ETD) density of the InN film. Cross-sectional transmission electron microscopy images reveal that the annihilation of ETDs can be divided into two steps, and the ETD density can be reduced to approximately 5 × 108 cm−2 near the surface of the 5-µm-thick film. The well-resolved phonon replica of the band-to-band emission in the photoluminescence spectra at 9 K confirm the high quality of the InN film. As a result, the feasibility of InN-based photonic structures and the underlying physics of their growth and emission properties are demonstrated.

Background: The COVID-19 pandemic has caused serious disruption to food security in the world. Declining incomes, purchasing power, and food production and rising prices in the food supply and consumption chain have affected and increased the risk of food insecurity, the most important consequence of which is the worsening of world hunger and malnutrition. The outbreak of the COVID-19 pandemic since December 2019 in Wuhan, and its spread around the world has caused major changes in people's lives; one of the most important affected areas is the food and nutrition sector. This study aims to evaluate the effect of the COVID-19 pandemic on changes in food choice, purchase, and consumption. Methods: Keywords "food", "nutrition", "choice or select", "buy or purchase", "consumption" and "behavior" in combination with the word "COVID-19" were used to search for English articles in Google Scholar, PubMed, and Scopus. All articles from the beginning of the pandemic to the end of May 2021 were included in this study. After deleting some studies due to non-English language, duplication, inconsistency with the intended purpose, and being reviewed, 25 articles entered the final phase. Results: The results indicate that forced quarantine and travel restrictions with the formation of new nutritional behaviors have affected the quality of nutrition of different populations. It has positive consequences, such as reducing ready meals and fast foods, increasing attention to nutrients to promote and maintain health and reduce food waste. The negative consequences include increased intake of snacks, high-calorie foods, canned foods, and processed meats in some countries. Conclusion: Decreased nutritional quality from this pandemic can have adverse effects on public health. More detailed studies are needed to examine the impact of quarantine on food choice, purchase, and consumption during the COVID-19 pandemic.

Purpose - This study aims to analyze further the disclosure of Islamic Social Responsibility (ISR) on board size, board independence, board diversity, and board activity. Method - This study uses quantitative methods and multiple linear regression analysis. This study uses a sample of Islamic Commercial Banks in Indonesia, which consistently reports from 2016 to 2019. The research sample is 13 Islamic Commercial Banks in Indonesia. The data analysis technique used a multiple linear regression test. Result - The results show that only board diversity can affect ISR disclosure, while the variable board size, board independence, and board activity cannot affect ISR disclosure. This study has an adjusted R square of 53.3%. Implication - This study recommends Islamic banking to increase the role of the board of directors to encourage ISR disclosure because the company's concern for social and environmental conditions can increase corporate value. Originality - In Indonesia, there are still not many researchers who have studied the attributes of the board and the disclosure of ISR. This research is expected to provide broader knowledge about the board's attributes in voluntary disclosure in the banking sector.

Abstract A magneto couple stress nanofluid flow along with double diffusive convection is presented for peristaltic induce flow through symmetric nonuniform channel. A comprehensive mathematical model is scrutinized for couple stress nanofluid magneto nanofluids and corresponding equations of motions are tackled by applying small Reynolds and long wavelength approximation in viewing the scenario of the biological flow. Computational solution is exhibited with the help of graphical illustration for nanoparticle volume fraction, solutal concentration and temperature profiles in MATHEMTICA software. Stream function is also computed numerically by utilizing the analytical expression for nanoparticle volume fraction, solutal concentration and temperature profiles. Whereas pressure gradient profiles are investigated analytically. Impact of various crucial flow parameter on the pressure gradient, pressure rise per wavelength, nanoparticle volume fraction, solutal concentration, temperature and the velocity distribution are exhibited graphically. It has been deduced that temperature profile is significantly rise with Brownian motion, thermophoresis, Dufour effect, also it is revealed that velocity distribution really effected with strong magnetic field and with increasing non-uniformity of the micro channel. The information of current investigation will be instrumental in the development of smart magneto-peristaltic pumps in certain thermal and drug delivery phenomenon.

Abstract Background The long saphenous vein is one of the most used conduits for coronary artery bypass graft surgery. The aim of this study was to assess the existing evidence regarding the effects of preoperative ultrasound mapping of the long saphenous vein with special attention to leg wound complications in patients undergoing elective coronary artery bypass graft surgery. Main text A systematic literature search was conducted in PubMed, Cochrane, and Embase databases. Extraction of relevant data was performed including study characteristics, patient characteristics, and all reported outcomes. The Cochrane Risk of Bias tool was used to evaluate the risk of bias of the included studies. The primary outcome measure was leg wound infections. Of 4514 papers screened in this systematic review, 36 papers underwent full-text assessment with final inclusion of 5 studies; 3 observational studies, and 2 randomized trials. The two randomized controlled trials showed no effects of preoperative ultrasound. Data from the three non-randomized studies was pooled in a meta-analysis, which suggested a significant reduction in the risk of harvest wound complications by ultrasound mapping prior to surgery (RR 0.32; 95%CI = [0.19–0.55]). Conclusions The main findings of this systematic review showed, that (1) the evidence in this field is limited and of low quality, i.e., low power or methodology and (2) despite limitations of the included studies, preoperative ultrasound mapping of the saphenous vein seems to be beneficial in terms of reducing the risk of postoperative leg wound complications.

The background for the formation of Al-Qur'an literacy activities in character building in the village of Medan Senembah, Tanjung Morawa District, namely as one of the government's programs regarding Al-Qur'an literacy culture, due to the low reading and writing of the Qur'an in society and the background of Vision and mission of the village head so that a religious village can be realized. This study aims to, 1) find out the background of the formation of Al-Qur'an literacy activities, 2) find out how the implementation of Al-Qur'an literacy in building community character, 3) find out how the impact of implementing Al-Qur'an literacy, 4) find out what are the supporting and inhibiting factors as well as solutions for implementing Al-Qur'an literacy in building community character. This research is a type of qualitative research with descriptive methods. Data analysis techniques were carried out in this study by collecting data, reducing data, presenting data and drawing conclusions. The results of this study indicate that the background to the formation of Al-Qur'an literacy activities in character building in the village of Medan Senembah, Tanjung Morawa District, is because of the government's program regarding Al-Qur'an literacy culture, the low reading and writing of the Qur'an in society and against the background of the village head's vision and mission to make a religious village, the implementation of Al-Qur'an literacy activities is carried out by planning, implementing, and evaluating during carrying out these activities. While the impact resulting from Al-Qur'an literacy activities in building the character of this community is that it can make people who are religious, diligently read the Al-Qur'an, have a responsible attitude, discipline, and tolerance. Supporting factors for Al-Qur'an literacy activities are from community support and facilities and infrastructure, the inhibiting factors are environmental factors, heredity and unfavorable weather. So the solution is to provide motivation and reward to the community so that more and more people love the Qur'an.

The amount of food waste throughout the world has become quite alarming and is contributing to lower food resources. The study aimed to extract and characterize the polyphenols from corn silks at immature and mature stages through conventional and green extraction techniques. Purposely, corn silks, which are some of the by-products of corn, (Zea mays L.) were collected and subjected to proximate analysis including moisture, ash, protein, fiber, and minerals. Secondly, the antioxidants from both immature and mature corn silks were extracted by techniques involving supercritical and ultrasound extraction alongside conventional extraction. The results displayed a promising quantity of protein and fiber along with calcium, magnesium, sodium potassium, and copper. Among the extraction techniques, supercritical extraction at 3,000 Pa acquired the highest total phenolic contents (TPC), total flavonoids (TF), 2, 2-diphenylpicrylhydrazyl (DPPH), ferric-reducing antioxidant power (FRAP) activities as 128.08 ± 3.74 mg GAE/100 g, 86.73 ± 2.75 mg CE/100 g, 106.73 ± 5.10%, and 73.52 ± 2.33 μM Fe + 2/g, respectively, followed by the ultrasound and conventional extraction techniques. Between the immature and mature corn silks, the highest antioxidant activity was displayed by immature corn silks.

A novel theoretical model is devised for electro osmotic flow of Williamson fluid model by incorporating heat transfer phenomena in a micro ciliated channel. The physical fluid model is designed by exploiting the renowned Debye–Huckel, long wavelength small Reynolds number approximation. The exact expression for Poisson–Boltzmann equation is obtained to find the analytical solution for axial velocity, pressure gradient, temperature and stream functions comprehensively by using perturbation technique. Whereas, transverse velocity and pressure rise profile are explored numerically through the MATHEMATICA software infrastructure. The variations of paramount significant parameters on the velocity distribution, temperature, pressure gradient and pressure rise per wavelength are demonstrated graphically. It has been investigated that axial velocity profiles escalates with enhancing Weissenberg, electro-osmotic, mobility of medium parameter, while dual behavior is recorded for the case of traverse component of velocity. Cilia plays a crucial role in ductus efferentes and assumed to transfer sperm through the rete testis to the epididymis. Besides above mentioned application cilia like actuators serve in micro-mixers to regulate the flow in bio-sensors and in various drug-delivery mechanism.

The income of farmers in Indonesia is still relatively low even to support their families. In the current economic conditions, farmers play a role as parents who must meet the needs of the family and form a national character in their children. This study aims to identify the strategies used by farmers to maintain survival and the formation of national character in children. This study uses a qualitative method. Informants in this study are farmers who cultivate limited land. Informants were selected based on purposive sampling method. This research was conducted in Rejosari, Karangawen, Demak. The results showed that the survival strategy of farmers in meeting family needs was divided into two, the first was farmers who carried out agricultural activities, while the second activity was carried out in agriculture. Farmers' strategies in shaping the values of the nation's character to children are carried out by instilling religious, responsible, creative and disciplined characters. This research is useful for the Government, especially the Ministry of Agriculture to make policies in the form of capital assistance, seeds, fertilizers and medicines to farmers so that farmers can increase their income and can shape the character of the nation.

Instilling the character of nationalism in students can be done through literacy programs with folklore media. Therefore, it is necessary to analyze the content of character education in folklore. The purpose of this study was to describe the content of nationalism character education in folklore from Wonogiri (Central Java) as a literacy medium for elementary school students. This research is a qualitative descriptive study with a content analysis model. The results of the analysis found that the main values of the character of nationalism include: (1) respecting, maintaining, and appreciating the diversity of cultures and ethnic groups, (2) discipline and obeying the law, (3) protecting the environment, (4) love for the homeland, (5) Achieve and excel, (6) Willing to sacrifice. The conclusion of the study shows that not all the main values of the character of nationalism are contained in every folklore, therefore teachers as literacy implementers must be able to add these deficiencies from other sources so that they can contribute to inculcating the character of nationalism in students.

This article describes nationalist character value and mutual cooperation character value in the novel “Guru Aini” by Andrea Hirata. The approach of this study is qualitative descriptive. The data in this study are words, phrases, and sentences that contain nationalist character value and mutual cooperation character value in the novel “Guru Aini” by Andrea Hirata. The data source of this study is the novel “Guru Aini” by Andrea Hirata. The data collected in this study used the documentation method, observation, and note-taking technique. The data analysis in this study used the referential equivalent method. This study showed three nationalist character values and five mutual cooperation character values in the novel “Guru Aini” by Andrea Hirata. The three nationalist character values, namely the character of self-sacrifice, the character of excellence and achievement, and the character of discipline. The five mutual cooperation character values were found, namely the character of respect, the character of help, the character of empathy, the character of anti-discrimination, and the character of volunteerism. The dominant character value in the novel is the character of volunteerism.

Urinary tract infection is an infectious disease that requires immediate treatment. It can occur in any age group and involves both genders equally. The present study was to check the resistance of some antibiotics and to assess the antibacterial potential of three extracts of three plants against notorious bacteria involved in urinary tract infections. Along with assessing the antibacterial activity of plant extracts, we checked for the anticancer potential of these extracts against the cancer cell lines MCF-7 and A2780. Cancer is the leading cause of mortality in developed countries. Determinations of total flavonoid content, total phenolic content, total alkaloid content, total tannin content, total carotenoid content, and total steroid content were performed. The disk diffusion method was used to analyze the antibacterial activity of plant extracts. Ethanolic extract of Selenicereus undatus showed sensitivity (25–28 mm) against bacteria, whereas chloroform and hexane extracts showed resistance against all bacteria except Staphylococcus (25 mm). Ethanolic extract of Pistacia vera L. showed sensitivity (22–25 mm) against bacteria, whereas chloroform and hexane extracts showed resistance. Ethanolic extract of Olea europaea L. showed sensitivity (8–16 mm) against all bacteria except Staphylococcus, whereas chloroform and hexane extracts showed resistance. Positive controls showed variable zones of inhibition (2–60 mm), and negative control showed 0–1 mm. The antibiotic resistance was much more prominent in the case of hexane and chloroform extracts of all plants, whereas ethanolic extract showed a sensitivity of bacteria against extracts. Both cell lines, MCF-7 and A2780, displayed decreased live cells when treated with plant extracts.

The date is a well-established and important crop that holds economic significance. However, a substantial amount of waste in the form of low-grade dates and date pits is generated and accounts for 10 to 15% of the total production. Given the substantial amount of nutrients in these by-products and the large volume of waste generated, there is a promising opportunity to utilize them to create valuable commodities like fiber and phenolic compounds, which hold a high market value. This review presents a summary of the chemical and nutritional composition of dates and their by-products and aims to investigate the possibility of utilizing date processing by-products and waste as an eco-friendly resource for various chemical and biological processes like composting and extraction of value-added compounds, as well as providing insight into the date processing industry and typical methods employed for the beneficial use of date waste. In addition, this review also addresses the current challenges and future perspectives in date waste valorization expectations.

In the current study, whey protein-based nanofibers were fabricated to encapsulate Lactobacillus rhamnosus. Purposely, different ratios of PVA (polyvinyl alcohol) and WPI (whey protein isolate) were blended to fabricate nanofibers. Nanofiber mats were characterized in terms of particle size, diameter, tensile strength, elongation at break, and loading efficiency. Morphological and molecular characterizations were carried out using scanning electron microscopy (SEM) and Fourier transform infrared (FTIR). Moreover, in vitro viability under simulated gastrointestinal (GI) conditions and thermal stability were also assessed. The results reveal that by increasing the PVA concentration, the conductivity increased while the viscosity decreased. SEM micrographs showed that probiotics were successfully loaded within the nanofiber. The FTIR spectra show strong bonding between the encapsulating materials with the addition of probiotics. In vitro and thermal analyses revealed that the survival of encapsulated probiotics significantly (p < 0.05) improved. In a nutshell, PVA–WPI composite nanofibers have promising potential when used to enhance the viability and stability of probiotics under adverse conditions.

The purpose of the present paper is to investigate the effect of the second invariant of the deformation tensor on the axial and azimuthal shear deformation of an incompressible hyperelastic solid with various strain energy functions. To this end, the axial shear deformation of an incompressible cylinder with the modified Gent-Thomas, Gent-Thomas, Gent-Gent, and Carroll strain energies subjected to an axial shear traction is considered, where the displacement field is determined analytically for the first three models and numerically for the fourth model. The phenomenon of strain hardening at large elastic deformations, predicted either by the limiting chain extensibility condition for the modified Gent-Thomas and Gent-Gent models or phenomenologically by the Carroll model, is observed and it is shown that the second invariant of deformation increases the strain hardening experienced by such materials. Next, the azimuthal shear deformation of an incompressible annular wedge with the modified Gent-Thomas, Gent-Thomas, Gent-Gent, and Carroll models is considered, where the annular wedge is subjected to a controllable azimuthal shear deformation and the angular displacement is determined analytically for all the above models. Again, the second invariant of the deformation tensor is shown to have a significant effect on the azimuthal shear deformation as reflected in the increase of the strain hardening of the material in such deformation. In addition, the annular wedge with the modified Gent-Thomas and Carroll models is shown to have a higher resistance in azimuthal shear deformation than the other models mentioned above.

Motivasi belajar berasal dari dalam diri siswa itu sendiri dan atau berasal dari luar diri siswa itu sendiri. Hal tersebut akan memaksa siswa untuk melakukan kegiatan belajar yang secara nyata dan sukarela. Siswa yang memiliki motivasi belajar diharapkan mampu meningkatkan prestasi belajarnya di sekolah. Penelitian ini bertujuan untuk mendeskripsikan seberapa besar pengaruh motivasi belajar terhadap prestasi belajar matematika siswa kelas 5 SD Darussalam Semarang. Metode yang digunakan adalah analisis kuantitatif yang diungkapkan dalam distribusi skor dan kategori skala yang telah ditentukan. Data variabel x diambil menggunakan instrumen angket, sementara variabel y menggunakan data nilai pts matematika semester II. Hasil yang didapat adalah, motivasi belajar siswa kelas 5 SD Darussalam Semarang berada pada kategori baik. Diperoleh rata-rata nilai motivasi belajar sebesar 59 terletak pada interval 57-62. Nilai rata-rata prestasi belajar matematika siswa kelas 5 sebesar 71,5 terletak pada interval 68-75 termasuk dalam kategori cukup, sehingga tidak ada pengaruh yang signifikan antara motivasi belajar dan prestasi belajar matematika siswa kelas 5 SD Darussalam Semarang Tahun 2020/21. Hal ini dapat ditunjukkan dengan bukti hasil perhitungan nilai r observasi (ro) = 0,216 lebih kecil jika dibandingkan dengan nilai r pada tabel (rt) = 0,374 pada taraf signifikan 5% dan rt 0,478 pada taraf signifikan 1%.

Nanopores are powerful tools for sampling protein-peptide interactions. Here, the authors convert a protein-based nanopore into a sensitive biosensor to characterize the complex binding of WDR5 protein to a 14-residue ligand.

Diminishing viability of manual fault diagnosis in the increasingly complex emerging cellular network has motivated research towards artificial intelligence (AI)-based fault diagnosis using the minimization of drive test (MDT) reports. However, existing AI solutions in the literature remain limited to either diagnosis of faults in a single base station only or the diagnosis of a single fault in a multiple BS scenario. Moreover, lack of robustness to MDT reports spatial sparsity renders these solutions unsuitable for practical deployment. To address this problem, in this paper we present a novel framework named Hybrid Deep Learning-based Root Cause Analysis (HYDRA) that uses a hybrid of convolutional neural networks, extreme gradient boosting, and the MDT data enrichment techniques to diagnose multiple faults in a multiple base station network. Performance evaluation under realistic and extreme settings shows that HYDRA yields an accuracy of 93% and compared to the state-of-the-art fault diagnosis solutions, HYDRA is far more robust to MDT report sparsity.

Cloud computing is a virtualized, scalable, ubiquitous, and distributed computing paradigm that provides resources and services dynamically in a subscription based environment. Cloud computing provides services through Cloud Service Providers (CSPs). Cloud computing is mainly used for delivering solutions to a large number of business and scientific applications. Large-scale scientific applications are evaluated through cloud computing in the form of scientific workflows. Scientific workflows are data-intensive applications, and a single scientific workflow may be comprised of thousands of tasks. Deadline constraints, task failures, budget constraints, improper organization and management of tasks can cause inconvenience in executing scientific workflows. Therefore, we proposed a fault-tolerant and data-oriented scientific workflow management and scheduling system (FD-SWMS) in cloud computing. The proposed strategy applies a multi-criteria-based approach to schedule and manage the tasks of scientific workflows. The proposed strategy considers the special characteristics of tasks in scientific workflows, i.e., the scientific workflow tasks are executed simultaneously in parallel, in pipelined, aggregated to form a single task, and distributed to create multiple tasks. The proposed strategy schedules the tasks based on the data-intensiveness, provides a fault tolerant technique through a cluster-based approach, and makes it energy efficient through a load sharing mechanism. In order to find the effectiveness of the proposed strategy, the simulations are carried out on WorkflowSim for Montage and CyberShake workflows. The proposed FD-SWMS strategy performs better as compared with the existing state-of-the-art strategies. The proposed strategy on average reduced execution time by 25%, 17%, 22%, and 16%, minimized the execution cost by 24%, 17%, 21%, and 16%, and decreased the energy consumption by 21%, 17%, 20%, and 16%, as compared with existing QFWMS, EDS-DC, CFD, and BDCWS strategies, respectively for Montage scientific workflow. Similarly, the proposed strategy on average reduced execution time by 48%, 17%, 25%, and 42%, minimized the execution cost by 45%, 11%, 16%, and 38%, and decreased the energy consumption by 27%, 25%, 32%, and 20%, as compared with existing QFWMS, EDS-DC, CFD, and BDCWS strategies, respectively for CyberShake scientific workflow.