Miracle-dz/UniFAR-FTUs huggingface dataset:
Nutrition and Stem Cell Integrity in Aging: Theory and Implications

The aging process is a natural phenomenon that involves complex changes in cellular structure and function. The integrity of stem cells, which play a central role in tissue maintenance and regeneration, is affected by various factors, including nutrition. This abstract discusses the role of nutrition in influencing stem cell integrity during aging. Nutrition plays a key role in maintaining the health and normal function of stem cells. Antioxidants such as vitamins C, E, and selenium protect stem cells from oxidative stress and DNA damage, which can compromise regenerative abilities. Anti-inflammatory nutrients such as omega-3 fatty acids and polyphenols help reduce chronic inflammation that can damage the environment in which stem cells operate, maintaining conditions that support regeneration. Apart from that, nutrition also influences the length of telomeres, which protect chromosomes during replication. Folic acid, vitamin B12, and vitamin C play a role in DNA methylation around telomeres, which can influence the maintenance of telomere length and genetic integrity. Aging-related telomere shortening can trigger detrimental genetic changes and disrupt the capabilities of stem cells. A balanced diet, which includes proper nutritional intake, is an important strategy for maintaining healthy stem cells during aging. Reducing the consumption of nutrients that can trigger inflammation and oxidative stress and increasing intake of antioxidant and anti-inflammatory nutrients can help maintain stem cell integrity. Nutritional regulation also plays a role in regulating the signaling pathways that lead to stem cell differentiation, ensuring that stem cells can differentiate into the cell types necessary for tissue repair.
On the Indonesian Throughflow in the OCCAM 1/4 degree ocean model

Abstract. The Indonesian Throughflow is analysed in two runs of the OCCAM 1/4 degree global ocean model, one using monthly climatological winds and one using ECMWF analysed six-hourly winds for the period 1993 to 1998. The long-term model throughflow agrees with observations and the value predicted by Godfrey's Island Rule. The Island Rule has some skill in predicting the annual signal each year but is poor at predicting year to year and shorter term variations in the total flow, especially in El Nino years. The spectra of transports in individual passages show significant differences between those connecting the region to the Pacific Ocean and those connecting with the Indian Ocean. On investigation we found that changes in the northern transports were strongly correlated with changes in the position of currents in the Celebes Sea and off Halmahera. Vertical profiles of transport are in reasonable agreement with observations but the model overestimates the near surface transport through the Lombok Strait and the dense overflow from the Pacific through the Lifamatola Strait into the deep Banda Sea. In both cases the crude representation of the passages by the model appears responsible. In the north the model shows, as expected, that the largest transport is via the Makassar Strait. However this is less than expected and instead there is significant flow via the Halmahera Sea. If Godfrey's Island Rule is correct and the throughflow is forced by the northward flow between Australia and South America, then the Halmahers Sea route should be important. It is the most southerly route around New Guinea to the Indian Ocean and there is no apparent reason why the flow should go further north in order to pass through the Makassar Strait. The model result thus raises the question of why in reality the Makassar Strait route appears to dominate the throughflow.
A Data-Driven Framework for Quantifying Demand Response Participation Benefit of Industrial Consumers

There is an increase in renewable energy sources connected to the electricity grid due to recent drives to achieve grid decarbonization milestones. However, such expansions cause grid balancing issues due to the renewable sources intermittency. Thus, grid operators introduced demand response (DR) schemes to mitigate this problem by controlling consumer load demands in exchange for incentives. Industries have enormous electricity demand making them ideal candidates for such programs. Nonetheless, non-intrusive demand load flexibility assessment for an industry's potential in DR programs remains a challenge. In this article, a data-driven framework for quantifying the DR potential of an industrial consumer is proposed. The framework uses smart electricity meter data to identify operational patterns to derive a flexibility boundary that quantifies the flexibility in the industrial consumer's system. The framework also evaluates the DR participation scenario to quantify the net benefit of trading the identified flexibility. A Case-study has been carried out for two industrial consumers (i.e., an electronics factory and a poultry feed factory). Initial energy behavioral analysis indicates three different energy use patterns for the electronics factory and six energy use patterns for the poultry feed factory. Evaluating the operational flexibility boundary for the clusters, the framework found two feasible clusters with DR potentials for the electronics factory and three feasible clusters for the poultry feed factory. The cost-benefit analysis indicates a potential energy cost reduction in the region of 5%–8% for passive participation and as much as 12%–24% for active participation. The framework could be adopted to evaluate wide scale industrial consumer's flexibility potential.
The Role of Typological Feature Prediction in NLP and Linguistics

Computational typology has gained traction in the field of Natural Language Processing (NLP) in recent years, as evidenced by the increasing number of papers on the topic and the establishment of a Special Interest Group on the topic (SIGTYP), including the organization of successful workshops and shared tasks. A considerable amount of work in this sub-field is concerned with prediction of typological features, e.g., for databases such as the World Atlas of Language Structures (WALS) or Grambank. Prediction is argued to be useful either because (1) it allows for obtaining feature values for relatively undocumented languages, alleviating the sparseness in WALS, in turn argued to be useful for both NLP and linguistics; and (2) it allows us to probe models to see whether or not these typological features are encapsulated in, e.g., language representations. In this article, we present a critical stance concerning prediction of typological features, investigating to what extent this line of research is aligned with purported needs—both from the perspective of NLP practitioners, and perhaps more importantly, from the perspective of linguists specialized in typology and language documentation. We provide evidence that this line of research in its current state suffers from a lack of interdisciplinary alignment. Based on an extensive survey of the linguistic typology community, we present concrete recommendations for future research in order to improve this alignment between linguists and NLP researchers, beyond the scope of typological feature prediction.
Hydraulic Conductivity of Three Landfill Clay Liners

Clay liners have been used as a means of leachate containment at landfills in Wisconsin for over 10 years. Many of these liners are 1.22–1.52‐m (4–5‐ft) thick and their construction is well documented. Since 1980, the Wisconsin Department of Natural Resources has required “collection basin lysimeters” to be installed at most clay‐lined sites to measure the quality and quantity of leakage from a discrete portion of the liner. These devices were initially required to provide a method for monitoring soil moisture in the unsaturated zone beneath the clay liners because in most cases suction lysimeters had not functioned properly. More recently, volume measurements from regularly sampled lysimeters have been used to estimate field hydraulic conductivity of clay liners. Field hydraulic conductivities calculated from the measured rate of seepage into eight separate lysimeters at three operating landfills is always less than 1×10-7cm/s.
VITAL POLLINATORS: HONEY BEES IN APPLE ORCHARDS

Biologist Volume 53 Number 2, April 2006 The ecological service of pollination carried out by a range of animals (mostly bats, bees, beetles, birds, butterflies, flies, moths and wasps) provides almost incalculable economic and ecological benefits to humans, flowering plants and wildlife. Within this valuable array, bees come out as the world’s dominant pollinators, as the approximately 17,000 known bee species (Michener, 2000) collectively interact with most of the planet’s quarter million angiosperm species (Buchmann and Ascher, 2005). Animal pollination by bees and other insects is the Vital pollinators: honey bees in apple orchards
Effect of Channel Shape on Performance of Printed Indium Gallium Zinc Oxide Thin-Film Transistors

Printing technology will improve the complexity and material waste of traditional deposition and lithography processes in device fabrication. In particular, the printing process can effectively control the functional layer stacking and channel shape in thin-film transistor (TFT) devices. We prepared the patterning indium gallium zinc oxide (IGZO) semiconductor layer with Ga, In, and Zn molar ratios of 1:2:7 on Si/SiO2 substrates. And the patterning source and drain electrodes were printed on the surface of semiconductor layers to construct a TFT device with the top contact and bottom gate structures. To overcome the problem of uniform distribution of applied voltages between electrode centers and edges, we investigated whether the circular arc channel could improve the carrier regulation ability under the field effect in printed TFTs compared with a traditional structure of rectangular symmetry and a rectangular groove channel. The drain current value of the IGZO TFT with a circular arc channel pattern was significantly enhanced compared to that of a TFT with rectangular symmetric source/drain electrodes under the corresponding drain–source voltage and gate voltage. The field effect properties of the device were obviously improved by introducing the arc-shaped channel structure.
Early neonatal hypoglycemia in exclusively breastfed babies in a developing country – India

Background: Neonatal hypoglycemia has been a cause for concern due to increasingly frequent reports of long-term sequelae, leading to undue concern and inadvertent administration of formula feeds. Though hypoglycemia is usually encountered only in neonates with classical risk factors, hypoglycemia is also rarely seen even in babies with no known risk factors. These babies may present only with sequelae in later childhood. Methods: This is a hospital-based observational, prospective study. We included 299 exclusively breastfed neonates who were shifted to mother's side with no congenital malformation or need for neonatal intensive care unit (NICU) admission. The neonates were studied in two groups: “ At Risk” and “No Risk. ” The “At Risk” group included babies with known risk factors like low birth weight, late preterm (34–36 weeks), small for gestational age (birth weight <10th centile), infant of a diabetic mother, or large for gestational age (birth weight >90th centile). Hypoglycemia was the primary outcome measured independent of feeding time for both groups. For the “At Risk” group, monitoring was done at 0, 1, 2, 3, 4, 12, 24 plus 48 h. For the “Not At Risk” group, it was done at 12 and 24 h of life. The factors associated with both groups were studies as the secondary outcome. Results and Conclusion: Out of 299 exclusively breastfed neonates, 13% were hypoglycemic. 27.06% were hypoglycemic in the “At Risk” group. In the “At Risk” group, low birth weight and primiparity were significant risk factors. The incidence of hypoglycemia in the “No Risk” group was 1.80%. Breast problems and breastfeeding problems, low education status of mother, young age, and primiparity were significant risk factors in the “No Risk” group.
Heteroplasmy and Individual Mitogene Pools: Characteristics and Potential Roles in Ecological Studies

Simple Summary The mitochondrial genome is a multicopy circular DNA with high mutation rates due to replication and repair errors. Mitochondrial DNA (mtDNA) heteroplasmy refers to the presence of more than one type of mtDNA in an individual. A mitochondrion, cell, tissue, organ, or an individual body may hold multiple variants, both inherited and developed over a lifetime. We review the characteristics, dynamics, and functions of mtDNA heteroplasmy and propose the concept of an individual mitogene pool to discuss individual genetic diversity from multiple angles to guide how the individual mitogene pool with novel genetic markers can be applied to ecological research. Abstract The mitochondrial genome (mitogenome or mtDNA), the extrachromosomal genome, is a multicopy circular DNA with high mutation rates due to replication and repair errors. A mitochondrion, cell, tissue, organ, or an individual body may hold multiple variants, both inherited and developed over a lifetime, which make up individual mitogene pools. This phenomenon is also called mtDNA heteroplasmy. MtDNA variants influence cellular and tissular functions and are consequently subjected to selection. Although it has long been recognized that only inheritable germline heteroplasmies have evolutionary significance, non-inheritable somatic heteroplasmies have been overlooked since they directly affect individual fitness and thus indirectly affect the fate of heritable germline variants. This review focuses on the characteristics, dynamics, and functions of mtDNA heteroplasmy and proposes the concept of individual mitogene pools to discuss individual genetic diversity from multiple angles. We provide a unique perspective on the relationship between individual genetic diversity and heritable genetic diversity and guide how the individual mitogene pool with novel genetic markers can be applied to ecological research.
Increase in Soil Carbon Pool Stability Rather Than Its Stock in Coastal Saline—Alkali Ditches following Reclamation Time

Extensive drainage ditches are constructed to reduce soil salinity in reclaimed saline–alkali farmland, consequently forming plant growth hotspots and impacting soil carbon stocks therein. However, the investigation into changes in soil carbon stocks remains limited in these ditches. To address this, soil samples were collected from drainage ditches, which originated from the reclamation of saline–alkali farmland, at different reclamation years (the first, seventh, and fifteenth year). Moreover, fractions were separated from soil samples; a particle size separation method (particulate organic matter, POM; mineral–associated organic matter, MAOM) and a spatio–temporal substitution method were conducted to analyze the variations in soil carbon components and the underlying mechanisms. The results indicate that there were no significant variations in the contents and stocks of soil organic carbon (SOC) and soil inorganic carbon (SIC) following the increase in reclamation time. However, in the POM fraction, the SOC content (SOCPOM) and stock significantly decreased from 2.24 to 1.12 g kg−1 and from 19.02 to 12.71 Mg ha−1, respectively. Conversely, in the MAOM fraction, the SOC content (SOCMAOM) and stock significantly increased from 0.65 to 1.70 g kg−1 and from 5.30 to 12.27 Mg ha−1, respectively. The different changes in SOCPOM and SOCMAOM, as well as the result of the structural equation model, showed a possible transformation process from SOCPOM to SOCMAOM in the soil carbon pool under the driving force of reclamation time. The results in terms of the changes in soil carbon components demonstrate the stability rather than the stock of the soil carbon pool increase in coastal saline–alkali ditches following the excavation formation time. Although more long time series and direct evidence are needed, our findings further provide a case study for new knowledge about changes in the soil carbon pool within saline–alkali ditches and reveal the potential processes involved in the transformation of soil carbon components.
Subcutaneous pseudomycetoma of the knee caused by Acremonium species in a diabetic male: A case report

A subcutaneous infection in the form of pseudomycetoma is rare. Acremonium species are rarely considered to be pathogenic in subcutaneous infections due to their ubiquitous nature. We report a case of subcutaneous pseudomycetoma over the dorsolateral aspect of the left knee caused by Acremonium species in a 55-year-old diabetic male who was treated successfully with oral itraconazole.
Correlation between color vision, visual acuity, contrast sensitivity and photostress recovery in the visually impaired: a cross-sectional study

Background: To investigate the correlation of colour vision, visual acuity, contrast sensitivity, and photostress recovery time test scores in visually impaired patients. Materials and methods: A total of 133 subjects were enroled and 133 eyes were examined. The pathological group consisted of 76 (57.1%) males with an average age of 68.0 (SD=13.2) and 57 (42.9%) females, with an average age of 68.1 (SD=15.2), Mann–Whitney U test was used to evaluate the differences in K-colour tests, HRR, visual acuity, Contrast Sensitivity test and photostress recovery time test between two different groups of severity. Results: Correlations were found among colour vision tests, visual acuity, contrast sensitivity, and photostress recovery time scores in eyes with age-related macular degeneration, with diabetic retinopathy, with optic nerve diseases, and various other retinal diseases (P<0.05). In patients with moderate-visual impairments. Conclusions: The colour vision test scores correlate with the scores of visual acuity, contrast sensitivity, and photostess recovery time test. It may be a useful clinical surrogate for functional vision.
Data Augmentation Strategies for Music Composition using Generative Adversarial Networks

: The field of Algorithmic Art has been following technological advances in Artificial Intelligence and, as Generative Adversarial Networks (GANs) have become popular, applications on art generation began to emerge. For most deep neural networks, large amounts of training data are essential to achieve satisfactory model quality. But there are cases, such as in MIDI musical melodies, where it is not trivial to acquire data in such a high volume. Data augmentation strategies play an important role on these cases. This paper presents a data augmentation pipeline, composed of three strategies, with the objective of improving the quality of a GAN-based musical melody generator. The proposed data augmentation pipeline was compared with a non-augmented dataset and a replicated dataset, which had the same size of the augmented dataset, but composed only of replicas. From the statistical tests performed it can be stated that the augmented dataset outperformed the non-augmented dataset and the replicated dataset, when evaluating the Fr´echet Inception distance (FID) score.
Lightweight Models Distillation with Learnable Teaching Material: An Application for Smart Table Tennis System

The rapid advancement of technology has led to the increasing adoption of deep neural networks on edge computing and mobile devices. However, these devices face challenges in effectively handling the extensive parameters and operations associated with neural networks. This study aims to address this challenge by utilizing knowledge distillation methods and integrating them into a table tennis sports analysis system. Specifically, our focus is to enhance the accuracy of a lightweight model designed for edge devices, specifically for ball bouncing point detection in table tennis. Through comprehensive experimentation, we demonstrate the effectiveness of our proposed learnable teaching materials in improving the model's performance. On average, our approach achieves a 1% accuracy improvement compared to the baseline model before knowledge distillation, with the best performance achieving an accuracy of 91.3%.
Hubungan tingkat aktivitas fisik dengan andropause pada guru sekolah menengah atas di Kota Denpasar tahun 2022

Introduction: Andropause is clinical syndrome due to testosterone levels reduction below normal in the body experienced by elderly men. The level of physical activity is one of the risk factors for andropause. This study aims to determine the relationship between the level of physical activity and andropause in high school teachers in Denpasar City. Methods: This study is an observational analysis with a cross-sectional approach. Andropause was assessed using the ADAM questionnaire consisting of 10 questions. Meanwhile, the level of physical activity assessed using the GPAQ questionnaire consisting of 16 questions. The sampling technique used is purposive sampling. Results: Total 50 respondents include in this study. As many as 66% of respondents have low levels of physical activity, 26% moderate physical activity, and 4% high physical activity. A total of 32 (64.0%) respondents experienced andropause and 18 (36.0%) did not experience andropause. There was a significant association between low levels of physical activity and andropause (p=0,05). The odds ratio (OR 95%CI) between andropause with low levels of physical activity is 11,14 (1,0 – 124,33). Conclusion: The lower level of physical activity teachers at Denpasar City Senior High School, the higher risk of experiencing andropause. This research is expected to motivate and educate men to be more aware of andropause and keep physically active. Pendahuluan: Andropause adalah sindrom klinis akibat penurunan kadar testosteron di bawah normal dalam tubuh yang dialami oleh pria lanjut usia. Tingkat aktivitas fisik menjadi salah satu faktor risiko terhadap andropause. Penelitian ini bertujuan untuk mengetahui hubungan tingkat aktivitas fisik dengan andropause pada guru SMA di Kota Denpasar. Metode: Penelitian ini merupakan analisis observasional dengan pendekatan cross-sectional. Andropause dinilai menggunakan kuesioner ADAM yang terdiri dari 10 buah pertanyaan. Sementara itu, tingkat aktivitas fisik dinilai menggunakan kuesioner GPAQ yang terdiri dari 16 buah pertanyaan. Teknik pengambilan sampel yang digunakan adalah purposive sampling. Hasil: Responden dalam penelitian ini berjumlah 50 orang. Sebanyak 66% responden memiliki tingkat aktivtas fisik yang rendah, 26% aktivitas fisik sedang, dan 4% aktivitas fisik tinggi. Sebanyak 32 (64,0%) responden mengalami andropause dan 18 (36,0%) tidak mengalami andropause. Terdapat hubungan yang signifikan antara tingkat aktivitas fisik rendah dengan andropause (p = 0,05). Adapun nilai odd ratio (OR 95%CI) antara andropause dengan tingkat aktivitas fisik rendah adalah 11,14 (1,0 – 124,33). Simpulan: Semakin rendah tingkat aktivitas fisik guru di SMA Kota Denpasar, maka semakin tinggi risiko mengalami andropause. Penelitian ini diharapkan dapat memotivasi dan mengedukasi pria untuk lebih waspada terhadap andropause serta menjaga fisiknya tetap aktif.
Influence of N and P fertilizers on sunflower grown in different saline soil on coast

A field experiment was conducted in the coast of Jiangsu province, China, in which four rates of N and P fertilizers were applied to soil in order to study the effect of their application on biological responses of sunflower (G101-B) in different salinity soils. Results showed that (1) Salinity, N and P fertilizers application led to significant differences in the yield of sunflower, especially N fertilizer. (2) The highest yield of sunflower seeds was obtained in the application of N by 105kg/ha and P by 81kg/ha in both low (0.12～0.15%) and high (0.28～0.35%) salinity. (3) The action of N and P fertilizers on the yield of Sunflower were strongly affected by salinity and did better in high salinity than in low salinity. (4) Superphosphate could promote the selective transportation of K+ in the plant and significantly increase SRK.Na of plant, which would help to decrease the harm of salinity to sunflower. 