Miracle-dz/UniFAR-FTUs huggingface dataset:
In the Shadows of Motherhood: A Comprehensive Review of Postpartum Depression Screening and Intervention Practices

This comprehensive review delves into the multifaceted landscape of postpartum depression (PPD), exploring its prevalence, impact on maternal and infant well-being, and the efficacy of existing screening and intervention practices. PPD emerges as a critical concern, with implications extending beyond individual mental health to encompass the dynamics of mother-infant relationships and societal well-being. The analysis underscores the complexity of addressing PPD, emphasizing the challenges associated with screening tools and the importance of evidence-based interventions. A call to action resonates throughout, urging healthcare providers, policymakers, and stakeholders to prioritize mental health support for new mothers through enhanced screening protocols and improved accessibility to interventions. Furthermore, the review highlights the need for destigmatization and awareness campaigns to foster a supportive environment. Future research directions are outlined, emphasizing the refinement of screening tools, developing innovative interventions, and exploring cultural and socioeconomic influences on PPD outcomes. The review envisions a collaborative effort to dispel the shadows of PPD, striving for a future where mothers receive comprehensive support, ensuring optimal mental health and overall well-being.
Volume loss during muscle reinnervation surgery is correlated with reduced CMAP amplitude but not reduced force output in a rat hindlimb model

Introduction: Muscle reinnervation (MR) surgery offers rehabilitative benefits to amputees by taking severely damaged nerves and providing them with new denervated muscle targets (DMTs). However, the influence of physical changes to muscle tissue during MR surgery on long-term functional outcomes remains understudied. Methods: Our rat hindlimb model of MR surgery utilizes vascularized, directly neurotized DMTs made from the lateral gastrocnemius (LG), which we employed to assess the impact of muscle tissue size on reinnervation outcomes, specifically pairing the DMT with the transected peroneal nerve. We conducted MR surgery with both DMTs at full volume and DMTs with partial volume loss of 500 mg at the time of surgery (n = 6 per group) and measured functional outcomes after 100 days of reinnervation. Compound motor action potentials (CMAPs) and isometric tetanic force production was recorded from reinnervated DMTs and compared to contralateral naïve LG muscles as positive controls. Results: Reinnervated DMTs consistently exhibited lower mass than positive controls, while DMTs with partial volume loss showed no significant mass reduction compared to full volume DMTs (p = 0.872). CMAP amplitudes were lower on average in reinnervated DMTs, but a broad linear correlation also exists between muscle mass and maximum CMAP amplitude irrespective of surgical group (R2 = 0.495). Surprisingly, neither MR group, with or without volume loss, demonstrated decreased force compared to positive controls. The average force output of reinnervated DMTs, as a fraction of the contralateral LG’s force output, approached 100% for both MR groups, a notable deviation from the 9.6% (±6.3%) force output observed in our negative control group at 7 days post-surgery. Tissue histology analysis revealed few significant differences except for a marked decrease in average muscle fiber area of reinnervated DMTs with volume loss compared to positive controls (p = 0.001). Discussion: The results from our rat model of MR suggests that tissue electrophysiology (CMAPs) and kinesiology (force production) may recover on different time scales, with volumetric muscle loss at the time of MR surgery not significantly reducing functional outcome measurements for the DMTs after 100 days of reinnervation.
The Role of a Digital Industry 4.0 in a Renewable Energy System

The transition to an intermittent energy production from renewable energy sources (RES) increases the complexity of providing reliable energy supply in Germany. Yet the growing number of RES impede the necessary effort to control the system. The introduction of digital or smart energy systems is often proclaimed as a logical next step towards coping with this rising complexity. It seems convenient that the manufacturing industry, as one of the major energy consumers, is currently also in a process of a digital transition, the fourth industrial revolution. This paper explores the current state of expert discourse on the role of a digitized industry as a potential enabler for the energy transition using Germany as a case study. For this purpose, we gathered qualitative data through semistructured interviews among industry managers and energy researchers. We identified the three major areas in the expert discourse of industry's future potentials: (1) increasing transparency in the energy system, (2) providing demand flexibility, and (3) increasing energy efficiency. In this paper, we address the internal barriers and explore industry's reluctance to interact with the energy system in order to initiate a transition.
Evaluating the present annual water budget of a Himalayan headwater river basin using a high‐resolution atmosphere‐hydrology model

Understanding the present water budget in Himalayan Basins is a challenge due to poor in situ coverage, incomplete or unreliable records, and the limitations of coarse resolution gridded data set. In the study, a two‐way coupled implementation of the Weather Research and Forecasting (WRF) Model and the WRF‐Hydro hydrological modeling extension package (WRF/WRF‐Hydro) was employed in its offline configuration, over a 10 year simulation period for a mountainous river basin in North India. A triple nest is employed, in which the innermost domain had 3 km for atmospheric model grids and 300 m for hydrological components. Two microphysical parameterization (MP) schemes are quantitatively evaluated to reveal how differently MP influences orographic‐related precipitation and how it impacts hydrological responses.
A 30-year trend of dairy consumption and its determinants among income groups in Iranian households

Introduction Milk and dairy products provide essential nutrients and have the potential to prevent chronic diseases, thus reducing healthcare costs. However, there is a lack of consistent and updated data on dairy consumption trends in Iran. This study aims to analyze the trends in dairy consumption among Iranian households from 1991 to 2021, focusing on household-level determinants across different expense groups. Methods The study uses data from the Iranian Household Expenditure and Income Survey conducted annually from 1991 to 2021 to analyze households’ dairy consumption. The data includes values and expenses of food and non-food items purchased in the previous month, as well as demographic characteristics of household members. The households were categorized into 10 deciles based on their gross expense. The econometric model used weighted mean per capita milk, yogurt, cheese, and total dairy consumption based on milk equivalent for each decile. The model takes into account changes in income, prices, household composition, education level, occupation, and residency area using panel data. Data preparation and model estimation were performed using RStudio and STATA17 software. Results Based on the findings, in 1991, per capita milk, yogurt, and cheese consumption were 26.77 kg, 16.63 kg, and 2.42 kg, respectively. By 2021, these figures changed to 22.68 kg, 11.06 kg, and 3.79 kg, reflecting a decrease in milk and yogurt consumption but an increase in cheese consumption. Family size was positively correlated with yogurt consumption and head of the household spouse’s job score were positively correlated with milk, yogurt and cheese consumption. Also, the presence of under five-year-old children and older adults members (over the age of 60) in the household was inversely related with yogurt and cheese consumption. Female-headed households tended to purchase more cheese, while their milk purchase level was significantly lower. Residing in urban areas was negatively related to milk, while cheese and total dairy consumption was higher in urban areas. Discussion The findings highlight the importance of targeted dairy subsidy interventions and educational programs to improve dairy consumption in Iranian households, especially among vulnerable groups. This will require urging policymakers and food system stakeholders for effective strategies that address macro-level factors to promote dairy consumption.
LIDAR vs dense image matching point clouds in complex urban scenes

This study aims to highlight the differences, in terms of robustness and efficiency, of the use of LIDAR point clouds compared to dense image matching (DIM) point clouds at urban areas that contain buildings with complex structure. The application is conducted over an area in the Greek island of Milos using two different types of data: (a) a dense point cloud which extracted by DIM using a variation of the stereo-method semi-global matching (SGM) at RGB digital aerial images, and (b) a georeferenced LIDAR point cloud. For the case of the DIM point cloud, the following steps were applied: aerial triangulation, rectification of the original images to epipolar images, extraction of disparity maps and application of a 3D similarity transformation. The evaluations that were executed included urban and rural areas. At first step, a direct cloud-to-cloud comparison between the georeferenced DIM and LIDAR point clouds was carried out. Then, the corresponding orthoimages generated by the DIM and LIDAR point clouds undergo a quality control. Although the results show that the LIDAR point clouds respond better at such complex scenes compared to DIM point clouds, the latter gave promising results. In this context, the Quality Assurance issue is also discussed so as to be more efficient towards the challenge of the increasingly greater demands for accurate and cost effective applications.
Model e-Peminatan: Solusi Praktis Merencanakan Karier Masa Depan

Dalam meraih sukses masa depan, remaja perlu dibekali dengan berbagai pengetahuan, pengalaman, serta berbagai keterampilan. Salah sartu cara untuk membekali individu untuk meraih masa depan adalah dengan mengembangkan aspek-aspek karir yang meliputi pengenalan diri, pengenalan pendidikan dan lingkungan kerja, dapat membuat keputusan serta merencanakan masa depannya. Pengembangan karir merupakan suatu proses membantu individu untuk mengoptimalkan seluruh aspek potensi,bakat, minat serta kepribadian seseorang agar dapat sukses dalam karirnya terutama dalam menghadapi era pasar bebas. Buku Model e-peminatan: Solusi Praktis Merencanakan Karier Masa Depan merupakan buku referensi yang komprehensif yang dapat membantu remaja, siswa sekolah, guru BK/pendidik, dosen, serta orangtua dalam meraih sukses dalam karirnya. Buku ini menjelaskan tentang pengertian karir, tujuan serta manfaatnya. Buku ini juga menjelaskan teori-teori perkembangan karir dari para ahli, layanan peminatan dalam kurikulum 2013 dan aplikasi peminatan di SMA. Selain itu, buku ini juga menjabarkan dengan rinci dan praktis mengenai penyelenggara program bimbingan karir di sekolah, mulai dari mengenali potensi diri sampai pada pengambilan keputusan. Buku ini juga dibekali dengan tips-tips sukses dalam melamar pekerjaan
Effects of indigenous Saccharomyces cerevisiae on intake, growth, gut histology, and serum biomarkers in pre-weaned Lohi lambs

The purpose of this study was to determine the comparative efficacy of locally-produced yeastnto commercial yeast on growth nperformance, serum biomarkers, and gut histology. Thirty pre-weanednmale Lohi lambs were divided into; 1) C (Control; starter diet nwith no supplement), 2) CY (starter dietnwith ewe milk supplemented with 1 g/animal/day commercial yeast), and 3) LY (starter dietnsupplemented with 1 g/animal/day local yeast). Animals were housed individually and fed a starter dietnand orts were weighed ndaily. Dry matter intake (DMI) was determined daily while the body weights werendetermined on a weekly basis. At the end of the trial, nblood samples were collected and analysed fornblood urea nitrogen (BUN), glucose, β-Hydroxybutyrate (BHBA), and non-esterified fatty nacids (NEFA),nwhile ruminal fluid and tissues were collected for rumen fermentation parameters andnhistomorphometry. The results nrevealed that the DMI and average daily weight gain (ADWG) werenhigher in CY and LY compared to C. The feed efficiency was also nbetter in CY and LY lambs comparednto C lambs. The BHBA, BUN, total proteins (TP), cholesterol, creatinine, blood glucose, and tissuenhistomorphometry were similar in LY and CY supplementation. In conclusion, supplementation with LYnproduced comparable nresults to the CY.
A Bridge between Short-Range and Seasonal Forecasts: Data-Based First Passage Time Prediction in Temperatures

Current conventional weather forecasts are based on high-dimensional numerical models. They are usually only skillful up to a maximum lead time of around 7 days due to the chaotic nature of the climate dynamics and the related exponential growth of model and data initialisation errors. Even the fully detailed medium-range predictions made for instance at the European Centre for Medium-Range Weather Forecasts do not exceed lead times of 14 days, while even longer-range predictions are limited to time-averaged forecast outputs only. Many sectors would profit significantly from accurate forecasts on seasonal time scales without needing the wealth of details a full dynamical model can deliver. In this thesis, we aim to study the potential of a much cheaper data-based statistical approach to provide predictions of comparable or even better skill up to seasonal lead times, using as an examplary forecast target the time until the next occurrence of frost. To this end, we first analyse the properties of the temperature anomaly time series obtained from measured data by subtracting a sinusoidal seasonal cycle, as well as the distribution properties of the first passage times to frost. The possibility of generating additional temperature anomaly data with the same properties by using very simple autoregressive model processes to potentially reduce the statistical fluctuations in our analysis is investigated and ultimately rejected. In a next step, we study the potential for predictability using only conditional first passage time distributions derived from the temperature anomaly time series and confirm a significant dependence of the distributions on the initial conditions. After this preliminary analysis, we issue data-based out-of-sample forecasts for three different prediction targets: The specific date of first frost, the probability of observing frost before summer for forecasts issued in spring, and the full probability distribution of the first passage times to frost. We then study the possibility of improving the forecast quality first by enhancing the stationarity of the temperature anomaly time series and then by adding as an additional input variable the state of the North Atlantic Oscillation on the date the predictions are issued. We are able to obtain significant forecast skill up to seasonal lead times when comparing our results to an unskilled reference forecast. A first comparison between the data-based forecasts and corresponding predictions gathered from a dynamical weather model, necessarily using a lead time of only up to 15 days, shows that our simple statistical schemes are only outperformed (and then only slightly) if further statistical post-processing is applied to the model output.
ATOH1, TFAP2B, and CEACAM6 as Immunohistochemical Markers to Distinguish Merkel Cell Carcinoma and Small Cell Lung Cancer

Simple Summary Merkel cell carcinoma (MCC) and small cell lung cancer (SCLC) are both neuroendocrine cancers that can resemble each other under the microscope. Immunostaining with diagnostic markers such as cytokeratin 20 (CK20) and thyroid transcription factor 1 (TTF-1) can help differentiate these two cancers, but their sensitivity and specificity are limited. We compared the gene expression of MCC and SCLC tumors to identify highly differentially expressed genes for potential use as diagnostic markers. Two candidate markers for MCC, atonal BHLH transcription factor 1 (ATOH1) and transcription factor AP-2β (TFAP2B), and one candidate marker for SCLC, carcinoembryonic antigen cell adhesion molecule 6 (CEACAM6), were tested using immunostaining. Combined use of CEACAM6 with TTF-1 increased SCLC diagnostic sensitivity to 93% and specificity to 98%. A panel of CK20, ATOH1, and TFAP2B was 100% sensitive and specific for MCC, suggesting the potential utility of these new markers in differentiating MCC and SCLC. Abstract Merkel cell carcinoma (MCC) and small cell lung cancer (SCLC) can be histologically similar. Immunohistochemistry (IHC) for cytokeratin 20 (CK20) and thyroid transcription factor 1 (TTF-1) are commonly used to differentiate MCC from SCLC; however, these markers have limited sensitivity and specificity. To identify new diagnostic markers, we performed differential gene expression analysis on transcriptome data from MCC and SCLC tumors. Candidate markers included atonal BHLH transcription factor 1 (ATOH1) and transcription factor AP-2β (TFAP2B) for MCC, as well as carcinoembryonic antigen cell adhesion molecule 6 (CEACAM6) for SCLC. Immunostaining for CK20, TTF-1, and new candidate markers was performed on 43 MCC and 59 SCLC samples. All three MCC markers were sensitive and specific, with CK20 and ATOH1 staining 43/43 (100%) MCC and 0/59 (0%) SCLC cases and TFAP2B staining 40/43 (93%) MCC and 0/59 (0%) SCLC cases. TTF-1 stained 47/59 (80%) SCLC and 1/43 (2%) MCC cases. CEACAM6 stained 49/59 (83%) SCLC and 0/43 (0%) MCC cases. Combining CEACAM6 and TTF-1 increased SCLC detection sensitivity to 93% and specificity to 98%. These data suggest that ATOH1, TFAP2B, and CEACAM6 should be explored as markers to differentiate MCC and SCLC.
Degradation of Mechanical Properties of Flax/PLA Composites in Hygrothermal Aging Conditions

The main advantage of green composites is their biodegradability, but this biodegradability can also be considered a drawback if the degradation appears during the service life of the component. Therefore, the study of the mechanical behavior of green composites after hygrothermal aging tests is necessary to analyze their degradation process. This study aims to comprehensively analyze the hygrothermal aging behavior and aging mechanism of flax-fiber-reinforced polylactic acid (PLA) biocomposites. The fully biodegradable composites are manufactured by compression molding. In addition, the influence of atmospheric-pressure plasma treatment on the mechanical properties of the biocomposite is studied. Specimens are exposed to water vapor and 40 °C environmental conditions in a stove for up to 42 days. Several specimens of each type are taken out at regular intervals and tested to examine the water absorption, mechanical properties, and thermal characterization. The results show that the stiffness was significantly reduced after 24 h due to matrix degradation, while the strength was reduced only after three weeks.
The effect of phytosulfokine alpha on haploid embryogenesis and gene expression of Brassica napus microspore cultures

Microspore embryogenesis (ME) is the most powerful tool for creating homozygous lines in plant breeding and molecular biology research. It is still based mainly on the reprogramming of microspores by temperature, osmotic and/or nutrient stress. New compounds are being sought that could increase the efficiency of microspore embryogenesis or even induce the formation of haploid embryos from recalcitrant genotypes. Among these, the mitogenic factor phytosulfokine alpha (PSK-α) is promising due to its broad spectrum of activity in vivo and in vitro. The aim of our study was to investigate the effect of PSK-α on haploid embryogenesis from microspores of oilseed rape (Brassica napus L., DH4079), one of the most important oil crops and a model plant for studying the molecular mechanisms controlling embryo formation. We tested different concentrations (0, 0.01, 0.1 and 1 µM) of the peptide and evaluated its effect on microspore viability and embryo regeneration after four weeks of culture. Our results showed a positive correlation between addition of PSK-α and cultured microspore viability and a positive effect also on the number of developed embryos. The analysis of transcriptomes across three time points (day 0, 2 and 4) with or without PSK-α supplementation (15 RNA libraries in total) unveiled differentially expressed genes pivotal in cell division, microspore embryogenesis, and subsequent regeneration. PCA grouped transcriptomes by RNA sampling time, with the first two principal components explaining 56.8% variability. On day 2 with PSK, 45 genes (15 up- and 30 down-regulated) were differentially expressed when PSK-α was added and their number increased to 304 by day 4 (30 up- and 274 down-regulated). PSK, PSKR, and PSI gene expression analysis revealed dynamic patterns, with PSK2 displaying the highest increase and overall expression during microspore culture at days 2 and 4. Despite some variations, only PSK1 showed significant differential expression upon PSK-α addition. Of 16 ME-related molecular markers, 3 and 15 exhibited significant differential expression in PSK-supplemented cultures at days 2 and 4, respectively. Embryo-specific markers predominantly expressed after 4 days of culture, with higher expression in medium without PSK, while on day 0, numerous sporophyte-specific markers were highly expressed.
The Efficacy of Encapsulated Phytase Based on Recombinant Yarrowia lipolytica on Quails’ Zootechnic Features and Phosphorus Assimilation

Simple Summary In this study, we assayed a yeast-based phytase feed supplement for weight gain, slaughter yield, and assimilation of the feed using a domestic breed of quails. We have shown that the supplement containing heterologous bacterial phytase in the yeast cell impacted live weight more effectively than the addition of a commercial fungi phytase. The bacterial phytase in the yeast cells is supposed to be of higher activity in the gastrointestinal tract of the poultry and facilitates a more complete assimilation of plant products in the feed. The results obtained give a reason to consider that the application of intracellular phytase based on the yeast cells to the poultry feed improves quail growth performance and health status. Abstract In this study, we used the Manchurian golden breed of quails. We assessed the efficacy of the food additives of the phytase from Obesumbacterium proteus encapsulated in the recombinant Yarrowia lipolytica yeast, which was supplied at a concentration of 500 phytase activity units per kg of the feed. One hundred fifty one-day-old quails were distributed into six treatment groups. The results showed that adding the O. proteus encapsulated phytase to the quails’ diets improved live weight, body weight gain, and feed conversion compared to those in the control groups and the groups using a commercial phytase from Aspergillus ficuum. The results obtained during the experiments indicate a high degree of assimilation of phytate-containing feeds if the encapsulated phytase was fed by the quails compared to that in the other groups. We can conclude that the class D encapsulated phytase is an expedient additive to the diets possessing better kinetic features compared to the PhyA and PhyC classes phytases when it acts inside the quail’s chyme.